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Six Meridian Divine Swords [theUltimator5]The Six Meridian Divine Sword is a legendary martial arts technique in the classic wuxia novel “Demi-Gods and Semi-Devils” (天龙八部) by Jin Yong (金庸). The technique uses powerful internal energy (qi) to shoot invisible sword-like energy beams from the six meridians of the hand. Each of the six fingers/meridians corresponds to a “sword,” giving six different sword energies. The Six Meridian Divine Swords indicator is a compact “signal dashboard” that fuses six classic indicators (fingers)—MACD, KDJ, RSI, LWR (Williams %R), BBI, and MTM—into one pane. Each row is a traffic-light dot (green/bullish, red/bearish, gray/neutral). When all six align, the script draws a confirmation line (“All Bullish” or “All Bearish”). It’s designed for quick consensus reads across trend, momentum, and overbought/oversold conditions. How to Read the Dashboard The pane has 6 horizontal rows (explained in depth later): MACD KDJ RSI LWR (Larry Williams %R) BBI (Bull & Bear Index) MTM (Momentum) Each tick in the row is a dot, with sentiment identified by a color. Green = bullish condition met Red = bearish condition met Gray = inside a neutral band (filtering chop), shown when Use Neutral (Gray) Colors is ON There are two lines that track the dots on the top or bottom of the pane. All Bullish Signal Line: appears only if all 6 are strongly bullish (default color = white) All Bearish Signal Line: appears only if all 6 are strongly bearish (default color = fuchsia) The Six Meridians (Indicators) — What They Mean: 1) MACD — Trend & Momentum What it is: A trend-following momentum indicator based on the relationship between two moving averages (typically 12-EMA and 26-EMA) Logic used: Classic MACD line (EMA12−EMA26) vs its 9-EMA signal. Bullish: MACD > Signal and |MACD−Signal| > Neutral Threshold Bearish: MACD < Signal and |diff| > threshold Neutral: |diff| ≤ threshold Why: Small crosses can whipsaw. The neutral band ignores tiny separations to reduce noise. Inputs: Fast/Slow/Signal lengths, Neutral Threshold. 2) KDJ — Stochastic with J-line boost What it is: A variation of the stochastic oscillator popular in Chinese trading systems Logic used: K = SMA(Stochastic, smooth), D = SMA(K, smooth), J = 3K − 2D. Bullish: K > D and |K−D| > 2 Bearish: K < D and |K−D| > 2 Neutral: |K−D| ≤ 2 Why: K–D separation filters tiny wiggles; J offers an “extreme” early-warning context in the value label. Inputs: Length, Smoothing. 3) RSI — Momentum balance (0–100) What it is: A momentum oscillator measuring speed and magnitude of price changes (0–100) Logic used: RSI(N). Bullish: RSI > 50 + Neutral Zone Bearish: RSI < 50 − Neutral Zone Neutral: Between those bands Why: Centerline/adaptive bands (around 50) give a directional bias without relying on fixed 70/30. Inputs: Length, Neutral Zone (± around 50). 4) LWR (Williams %R) — Overbought/Oversold What it is: An oscillator similar to stochastic, measuring how close the close is to the high-low range over N periods Logic used: %R over N bars (0 to −100). Bullish: %R > −50 + Neutral Zone Bearish: %R < −50 − Neutral Zone Neutral: Between those bands Why: Uses a centered band around −50 instead of only −20/−80, making it act like a directional filter. Inputs: Length, Neutral Zone (± around −50). 5) BBI (Bull & Bear Index) — Smoothed trend bias What it is: A composite moving average, essentially the average of several different moving averages (often 3, 6, 12, 24 periods) Logic used: Average of 4 SMAs (3/6/12/24 by default): BBI = (MA3 + MA6 + MA12 + MA24) / 4 Bullish: Close > BBI and |Close−BBI| > 0.2% of BBI Bearish: Close < BBI and |diff| > threshold Neutral: |diff| ≤ threshold Why: Multiple MAs blended together reduce single-MA whipsaw. A dynamic 0.2% band ignores tiny drift. Inputs: 4 lengths (default 3/6/12/24). Threshold is auto-scaled at 0.2% of BBI. 6) MTM (Momentum) — Rate of change in price What it is: A simple measure of rate of change Logic used: MTM = Close − Close Bullish: MTM > 0.5% of Close Bearish: MTM < −0.5% of Close Neutral: |MTM| ≤ threshold Why: A percent-based gate adapts across prices (e.g., $5 vs $500) and mutes insignificant moves. Inputs: Length. Threshold auto-scaled to 0.5% of current Close. Display & Inputs You Can Tweak 🎨 Use Neutral (Gray) Colors ON (default): 3-color mode with clear “no-trade”/“weak” states. OFF: classic binary (green/red) without neutral filtering.
Wskaźnik Pine Script®
od TheUltimator5
15
Linton Price Targets(R)Linton Price Targets A groundbreaking new way of projecting price targets and when they will be met in the future. Point and figure charts have largely fallen out of favour in recent decades with the birth of personal computing and electronic data services. Few software systems calculate them correctly, and the technique is seen as outdated and difficult for the newcomer to technical analysis to understand. Linton Price Targets takes the point and figure methodology for producing vertical count targets and applies them to time-based charts that are much more widely used for technical analysis. To place Point and figure price targets on a time-based chart, we first need to relate the conditions that produce the vertical count targets. Vertical Targets are only generated with uninterrupted moves off a high or a low point in prices. A pullback of at least 3 boxes locks the thrust column and therefore the price target. A move of at least one box above (in the case of an upside target off a low) or one box below (downside off a high) ‘activates’ the price target. Here the buyers and sellers respectively are confirmed. Conversely a move below the base of an upside target column, or above the top of a downside column ‘negates’ the vertical target. In this case, the buyers and sellers have been superseded by subsequent events. Projecting Price The price projection following the point and figure 3-Box method is relatively straightforward. The standard projection used is twice the original move from the top of the initial thrust level. This derives from the 3-Box construction devised by Cohen, whereby the initial thrust count is a third of the overall price count projection. But there is no reason to limit the Target Price Factor to the value to 2. A value of 1 could be used in the case of consolidation patten where the move out of the pattern is roughly equivalent to the move into the pattern. A value of 1.618 could be used for Fibonacci Retracements or Extensions or a value of 2 x log, can be used to deal with increasing box (unit) sizes as price changes. Projecting Time Projecting a potential price target with is relatively straight forward. Determining a time in the future when such a price target will be met is more of a challenge. This has been seen as one of the major drawbacks of point and figure charts for decades. Because there is no time axis on a Point and figure chart, there is no saying when a count projection target will be met. For the Time to Target, we need to consider potential methodologies such as: 1. Price to Time Ratio – t units of price for every x units of time – ie $1 every 2 days 2. Thrust Angle Factor – a factor x the initial trust angle for the target angle 3. Time to Activation Factor – time to target is x the time taken for a target to activate 4. Follow the Price – track prices as the progress to target and adjust time to target accordingly 5. Historical Average Slope – historical average price time average for last n targets Considering the Price to Time Ratio method, Chart 1 below shows a chart of the price targets for the US stock Applied Materials with a Unit size of $1. The targets are projected Log Scale 2x the initial thrust. From this chart we see that the target prices are reached later than the projection predicted. This means that we need to consider a lesser slope. Chart 2 below shows the same chart with the slope now adjusted to $1 every three days. This chart shows that recent targets for Applied Materials have been approximately met with this slope. Therefore, this is a better slope to use in this instance. Chart 1 - Applied Materials (unit size $1) - target projection slope $1 every 2 days Chart 2 - Applied Materials (unit size $1) - target projection slope $1 every 3 days Chart 3 - Applied Materials (unit size $1) - target projection slope 1/2 initial thrust slope The second method of projecting price targets assumes the time that a price target will be reached is directly related to the speed of the initial thrust, which generates the target. Chart 3 shows the same security as in the previous examples but using this method with an angle of slope which is half the initial thrust angle. The factor can also be altered with this method to best fit the data. In the previous examples (Charts 1 & 2) we see the slope of each of the targets is constant. Using the Thrust Angle Factor method, different buying and selling thrust angles produces different target slopes. A third possible projection method assumes that the longer a price target takes to activate, the longer it takes for a target to be reached. The argument goes that the pullback from the initial thrust is more of a consolidation phase rather than a sharp reaction and therefore, the potential overall move will take longer. Chart 4 shows this method. Again, we see that, due to the varying times of price targets to activate, the slopes of the targets are not uniform as in Method 1 which uses a consistent price to time slope. Chart 4: Applied Materials (unit size $1) – target projection x times the time taken for target to activate. Chart 5: Applied Materials (unit size $1) – target projection readjusts with new price information A fourth method for predicting when in the future that a price target might be met adjusts the slope of the targets from the activation point as new price information arrives. With multiple targets activated at different points on the chart, this method also produces price targets of different slopes. Because targets are readjusted with every new price, it is best to set this method to ignore the last x bars in order to spot any divergence from the targets. Chart 5 shows this methodology. Chart 6 shows a method where the average slope of price over time is taken for the previous n targets that are achieved and used as the slope for projecting targets into the future. While the slopes for upward and downward targets can be separately adjusted with the previous methods mentioned, this method automatically calculates the different slope speeds of upside and downside targets. Chart 6: Applied Materials (unit size $1) – target projection based on the average slope of the last x targets. Multiple Price Targets As with Point and figure count targets, multiple price targets point to the same price or price level increases the likelihood of price targets being met. This is known as ‘clustering’. Now with the ability to project price targets to a future date on a chart, it is not only possible to see clustering of the price of multiple targets, but also clustering of times targets may be met. This can lead to a ‘cluster zone’, an area of price and time in the future that multiple targets may be met. Chart 7 shows an example of this. Chart 7: Applied Materials (unit size $1) – target zone of future price and time of multiple targets Achievement and Non-Achievement of Price Targets and Prevailing Trend Point and figure targets are approximate and are more often than not, not met precisely. They are regularly not achieved or exceeded, but this provides valuable information in itself. Upside price targets that are achieved or exceeded shows bullish confirmation, whereas these targets not being achieved indicates a degree of bearishness. Conversely, downside price targets achieved or exceeded is bearish confirmation and such targets not achieved is an indication of inherent bullishness. Unsurprisingly, price targets are normally achieved or exceeded in line with the prevailing trend. Upside price targets should be given more weight in uptrends, while downside ones may only serve as a temporary moment for caution, because they are counter-trend. Downside Targets will carry more weight in downtrends. It is also often the case that the last target in line with the prevailing trend is never met as the trend changes and a new set of targets in the opposite direction are generated with the new reversal of trend. Active price targets in both directions are often an early sign of this. This is particularly true with multiple targets in the new trend direction verses one lone target in the previous trend direction. This lone target is likely to be negated, clearly signalling the new trend direction is taking hold. Activation and Negation of Price Targets An upside price target is only activated when prices rise a further than a full price unit above the top of the initial uninterrupted buying thrust in prices from a low. A low is defined by a price level at least one full price unit below a previous recent low. The pullback downwards of at least three price units ‘locks’ the initial thrust that generates the upside price target. Here the bulls buying from the bottom have been confirmed. A downside price target is only activated when prices fall further than a full price unit below the bottom of the initial uninterrupted selling thrust in prices from a high. A high is defined by a price level at least one full price unit above a previous recent high. The pullback upwards of at least three price units ‘locks’ the initial thrust that generates the downside price target. Here the bears selling from the top have been confirmed. A target is valid once the column is locked with the pullback of at least three units, but it should not be considered as active until the price breaks through the activation level. An unactivated target serves as advance notice that a target is in place and will become active once the activation price level is broken. An upside price target is negated if prices fall below the bottom of the initial uninterrupted buying thrust in prices. In this instance the bulls have been beaten by the bears. Conversely, a downside price target is negated if prices rise above the top of the initial uninterrupted Selling thrust in prices. Here the bears selling from the top have been beaten by the bulls. It is important to note the difference between a target that is activated first and then negated and a target that was never activated and negated first. Research shows that normally more than half of all negated targets were never activated and wouldn’t have been taken. Taking the prevailing trend into account further reduces the number of negated targets that would have been taken at the activation point. Evaluating a Target as Price Progress Because Linton Price targets can be evaluated with subsequent new price information with the passage of time, it becomes possible to see more easily, than on a point and figure chart, when a target might be failing. The ideas of activation, negation, and achievement of price targets are understood in point and figure charting and apply similarly here to time-based charts. But the ability to now see prices diverging from the target path presents us with some potential new states of a target. In the case of an upside target, if prices fall away or wander sideways from a target path this alerts us to the fact that the prices on their way to the target may be ‘exhausting’. If we fall or wander back below the target activation level, this implies the previous resistance level off the thrust high has not managed to become a new support level for the price. Consequently, we may consider that the target has been ‘de-activated’. If we fall further below the low of the pullback low point, this previous support level also failed to hold and this is providing us with an early warning that the target is quite possibly ‘failing.’ If prices are moving towards the target as expected, we can say the target is ‘in train.’ This is particularly appropriate for multiple targets that run parallel using the first price/time slope prediction method where the targets look like ‘train tracks.’ Improbable Targets Occasionally an improbable target a long way from the price will be generated. This is particularly true using a log scale projection. Beware of a target that points to a very large change in price. This is especially true of a lone target. It is also quite likely that the unit size has been set too small where a bigger unit size may not produce a target at all. Longer term charts Point and figure charts have always meant to be constructed with tick data. The point and figure methodology reduces this down to just the ticks that create a new box on the chart. Long tick data price histories are typically expensive and hard to come by. This can also be an overwhelming amount data to store and analyse, particularly in the case of very liquid instruments such as a major currency pair. For intraday charts, one minute data will normally suffice. But these histories may not be long enough either and it may be necessary to use a 60-minute chart. It is also possible to construct point and figure charts using high/low data or even open-high-low-close data making some assumptions based on a rising or falling candle, on which came first, the high or the low. The targets will be impacted accordingly. When it comes to longer term charts such as weekly or monthly charts it is unlikely that these time frames would be used for point and figure charts. The construction method already filters the data. But when it comes to long-term time based charts it becomes necessary to look at weekly or monthly data. You will also see that long term price upside targets are generated that are not on the daily chart. This is because daily the movements will not provide the same uninterrupted buying thrusts as with the monthly data. The daily pullbacks are effectively ignored when using monthly data. The other advantage is the unit size is now months so we can say that the target slope equates to 1% of price every month for a 1 to 1 slope for example. Using weekly or monthly data to construct the price targets is a significant departure from the traditional point and figure charting method. Time-Based Charts Are Easier to Understand Than Point and Figure Charts In recent years, the vast majority of people carrying out technical analysis of charts do not use the point and figure charts. This is partly because very few software systems draw them correctly and do not calculate the price targets. Newcomers to technical analysis find point and figure charts hard to understand. Combining With Other Techniques Using point and figure charts has also often meant the need to switch between different chart types for the same instrument. Time-based charts allow for a vast set of technical analysis time-series based techniques to be married with Linton Price Targets. Having different sets of analysis on the same chart can increase the power of the analysis without having to swap between different chart types. Linton Price Targets builds on the technical analysis body of knowledge developed over the past 100 years by bringing an old, largely lost, technique into the modern age. The main advantages of Linton Price Targets are: • The ability to have price targets on time-based charts. • It is now possible to ascertain when in the future a price target may be met. • With the passage of time, it becomes clearer if a target track is being followed. • The targets can be applied to longer-term time-based charts. • Time-series based analysis techniques can be used on the same chart as the targets. • The targets are much easier to understand for the newcomer to technical analysis.
Wskaźnik Pine Script®
od David_Linton
BVB dominance bars Hello everyone, this is my first indicator. these candles shows you who's in control. I like to think its some what close to heikin ashi candles as it shows you the Trend but doesn't average it out. also shows you when there is indecision. please read the instructions on how it works. its not a stand alone strategy. but adds value to your own strategy. 📖 How It Works The BvB Dominance Bars indicator is a visual tool that colors candles based on market control—whether bulls or bears are in charge. It uses a custom metric comparing the price's relationship to a smoothed moving average (EMA), then normalizes that difference over time to express relative bullish or bearish pressure. Here’s the breakdown: Bulls vs Bears Logic: A short-term EMA (default: 14-period) is used to establish a midpoint reference. Bull Pressure is calculated as how far the high is above this EMA. Bear Pressure is how far the low is below this EMA. These are normalized over a lookback period (default: 120 bars) to produce percentile scores (0–100) for both bulls and bears. Dominance & Color Coding: The indicator compares normalized bull and bear scores. Candles are color-coded based on: Bright Lime: Strong Bull Dominance (with high confidence) Soft Lime/Yellow: Moderate Bull Control Bright Red: Strong Bear Dominance Soft Red/Yellow: Moderate Bear Control Gray: Neutral/Low conviction Optional Live Label: A small floating label shows who has control: “Bull Control,” “Bear Control,” or “Neutral.” 🧠 How to Use It (Example Strategy) The BvB Dominance Bars indicator is not a standalone buy/sell signal but a market sentiment overlay. It’s most effective when combined with your own strategy, like price action or trend-following tools. Here’s an example use case: 🧪 Reversal Confirmation Strategy Objective: Catch high-probability reversals during key kill zones or supply/demand levels. Setup: Mark your key support/resistance zones using your standard method (e.g., FVGs, liquidity sweeps, or ICT PD arrays). Wait for price to reach one of these zones. Watch candle colors from the BvB Dominance Bars: If you expect a bullish reversal, wait for a transition from red/gray candles to lime green or bright lime (bullish dominance taking over). If you expect a bearish reversal, look for a change from green/gray to red or bright red. Entry Filter: Only enter if the dominant color holds for 2+ candles. Avoid trades when candles are gray or yellow (indecision/neutral). Exit Option: Exit if dominance shifts against you (e.g., from lime to red), or use structure-based stops. ⚙️ Settings You Can Adjust: BvB Period: Controls how fast EMA responds. Bars Back: Determines how long the normalization looks back. Thresholds: Influence how strong the dominance must be to change candle color. ✅ Best Used When: You already have a bias and just want a confirmation of sentiment. You're trading intraday and want a feel for shifting momentum without relying on noisy indicators. You want a clean, color-coded overlay to help filter out fakeouts and indecision.
Wskaźnik Pine Script®
od EMAZINGTRADES
1
Multiple (12) Strong Buy/Sell Signals + Momentum Indicator Manual: "Multiple (12) Strong Buy/Sell Signals + Momentum" This indicator is designed to identify strong buy and sell signals based on 12 configurable conditions, which include a variety of technical analysis methods such as trend-following indicators, pattern recognition, volume analysis, and momentum oscillators. It allows for customizable alerts and visual cues on the chart. The indicator helps traders spot potential entry and exit points by displaying buy and sell signals based on the selected conditions. Key Observations: • The script integrates multiple indicators and pattern recognition methods to provide comprehensive buy/sell signals. • Trend-based indicators like EMAs and MACD are combined with pattern recognition (flags, triangles) and momentum-based signals (RSI, ADX, and volume analysis). • User customization is a core feature, allowing adjustments to the conditions and thresholds for more tailored signals. • The script is designed to be responsive to market conditions, with multiple conditions filtering out noise to generate reliable signals. ________________________________________ Key Features: 1. 12 Combined Buy/Sell Signal Conditions: This indicator incorporates a diverse set of conditions based on trend analysis, momentum, and price patterns. 2. Minimum Conditions Input: You can adjust the threshold of conditions that need to be met for the buy/sell signals to appear. 3. Alert Customization: Set alert thresholds for both buy and sell signals. 4. Dynamic Visualization: Buy and sell signals are shown as triangles on the chart, with momentum signals highlighted as circles. ________________________________________ Detailed Description of the 12 Conditions: 1. Exponential Moving Averages (EMA): o Conditions: The indicator uses EMAs with periods 3, 8, and 13 for quick trend-following signals. o Bullish Signal: EMA3 > EMA8 > EMA13 (Bullish stack). o Bearish Signal: EMA3 < EMA8 < EMA13 (Bearish stack). o Reversal Signal: The crossing over or under of these EMAs can signify trend reversals. 2. MACD (Moving Average Convergence Divergence): o Fast MACD (2, 7, 3) is used to confirm trends quickly. o Bullish Signal: When the MACD line crosses above the signal line. o Bearish Signal: When the MACD line crosses below the signal line. 3. Donchian Channel: o Tracks the highest high and lowest low over a given period (default 20). o Breakout Signal: Price breaking above the upper band is bullish; breaking below the lower band is bearish. 4. VWAP (Volume-Weighted Average Price): o Above VWAP: Bullish condition (price above VWAP). o Below VWAP: Bearish condition (price below VWAP). 5. EMA Stacking & Reversal: o Tracks the order of EMAs (3, 8, 13) to confirm strong trends and reversals. o Bullish Reversal: EMA3 < EMA8 < EMA13 followed by a crossing to bullish. o Bearish Reversal: EMA3 > EMA8 > EMA13 followed by a crossing to bearish. 6. Bull/Bear Flags: o Bull Flag: Characterized by a strong price movement (flagpole) followed by a pullback and breakout. o Bear Flag: Similar to Bull Flag but in the opposite direction. 7. Triangle Patterns (Ascending and Descending): o Detects ascending and descending triangles using pivot highs and lows. o Ascending Triangle: Higher lows and flat resistance. o Descending Triangle: Lower highs and flat support. 8. Volume Sensitivity: o Identifies price moves with significant volume increases. o High Volume: When current volume is significantly above the moving average volume (set to 1.2x of the average). 9. Momentum Indicators: o RSI (Relative Strength Index): Confirms overbought and oversold levels with thresholds set at 65 (overbought) and 35 (oversold). o ADX (Average Directional Index): Confirms strong trends when ADX > 28. o Momentum Up: Momentum is upward with strong volume and bullish RSI/ADX conditions. o Momentum Down: Momentum is downward with strong volume and bearish RSI/ADX conditions. 10. Bollinger & Keltner Squeeze: o Squeeze Condition: A contraction in both Bollinger Bands and Keltner Channels indicates low volatility, signaling a potential breakout. o Squeeze Breakout: Price breaking above or below the squeeze bands. 11. 3 Consecutive Candles Condition: o Bullish: Price rises for three consecutive candles with higher highs and lows. o Bearish: Price falls for three consecutive candles with lower highs and lows. 12. Williams %R and Stochastic RSI: o Williams %R: A momentum oscillator with signals when the line crosses certain levels. o Stochastic RSI: Provides overbought/oversold levels with smoother signals. o Combined Signals: You can choose whether to require both WPR and StochRSI to signal a buy/sell. ________________________________________ User Inputs (Inputs Tab): 1. Minimum Conditions for Buy/Sell: o min_conditions: Number of conditions required to trigger a buy/sell signal on the chart (1 to 12). o Alert_min_conditions: User-defined alert threshold (how many conditions must be met before an alert is triggered). 2. Donchian Channel Settings: o Show Donchian: Toggle visibility of the Donchian channel. o Donchian Length: The length of the Donchian Channel (default 20). 3. Bull/Bear Flag Settings: o Bull Flag Flagpole Strength: ATR multiplier to define the strength of the flagpole. o Bull Flag Pullback Length: Length of pullback for the bull flag pattern. o Bull Flag EMA Length: EMA length used to confirm trend during bull flag pattern. Similar settings exist for Bear Flag patterns. 4. Momentum Indicators: o RSI Length: Period for calculating the RSI (default 9). o RSI Overbought: Overbought threshold for the RSI (default 65). o RSI Oversold: Oversold threshold for the RSI (default 35). 5. Bollinger/Keltner Squeeze Settings: o Squeeze Width Threshold: The maximum width of the Bollinger and Keltner Bands for squeeze conditions. 6. Stochastic RSI Settings: o Stochastic RSI Length: The period for calculating the Stochastic RSI. 7. WPR Settings: o WPR Length: Period for calculating Williams %R (default 14). ________________________________________ User Inputs (Style Tab): 1. Signal Plotting: o Control the display and colors of the buy/sell signals, momentum indicators, and pattern signals on the chart. o Buy/Sell Signals: Can be customized with different colors and shapes (triangle up for buys, triangle down for sells). o Momentum Signals: Custom circle placement for momentum-up or momentum-down signals. 2. Donchian Channel: o Show Donchian: Toggle visibility of the Donchian upper, lower, and middle bands. o Band Colors: Choose the color for each band (upper, lower, middle). ________________________________________ How to Use the Indicator: 1. Adjust Minimum Conditions: Set the minimum number of conditions that must be met for a signal to appear. For example, set it to 5 if you want only stronger signals. 2. Set Alert Threshold: Define the number of conditions needed to trigger an alert. This can be different from the minimum conditions for visual signals. 3. Customize Appearance: Modify the colors and styles of the signals to match your preferences. ________________________________________ Conclusion: This comprehensive trading indicator uses a combination of trend-following, pattern recognition, and momentum-based conditions to help you spot potential buy and sell opportunities. By adjusting the input settings, you can fine-tune it to match your specific trading strategy, making it a versatile tool for different market conditions. Signal Reliability Based on Condition Count The reliability of the buy/sell signals increases as more conditions are met. Here's a breakdown of the probabilities: 1. 1-3 Conditions Met: Lower Probability o Signals that meet only 1-3 conditions tend to have lower reliability and are considered less probable. These signals may represent false positives or weaker market movements, and traders should approach them with caution. 2. 4 Conditions Met: More Reliable Signal o When 4 conditions are met, the signal becomes more reliable. This indicates that multiple indicators or market patterns are aligning, increasing the likelihood of a valid buy/sell opportunity. While not foolproof, it's a stronger indication that the market may be moving in a particular direction. 3. 5-6 Conditions Met: Strong Signal o A signal meeting 5-6 conditions is considered a strong signal. This indicates a well-confirmed move, with several technical indicators and market factors aligning to suggest a higher probability of success. These are the signals that traders often prioritize. 4. 7+ Conditions Met: Rare and High-Confidence Signal o Signals that meet 7 or more conditions are rare and should be considered high-confidence signals. These represent a significant alignment of multiple factors, and while they are less frequent, they are highly reliable when they do occur. Traders can be more confident in acting on these signals, but they should still monitor market conditions for confirmation. ________________________________________ You can adjust the number of conditions as needed, but this breakdown should give a clear structure on how the signal strength correlates with the number of conditions met!
Wskaźnik Pine Script®
od LouisMont
2
BTC Markup/Markdown Zones by Koenigsegg📈 BTC Markup/Markdown Zones A handcrafted indicator designed to mark Bitcoin's most critical High Time Frame (HTF) structure shifts. This tool overlays true institutional-level Markup and Markdown Zones, selected manually after deep market review. Whether you're testing strategies or actively trading, this tool gives you the bigger picture at all times. 🔍 Key Features: ✅ HTF Markup & Markdown Zones Every zone is manually selected — no indicators, no repainting. Just raw market history and real structure. ✅ Two Display Modes • Background Zones — soft overlays with low opacity for visual context — with the option to increase opacity manually if desired. • Start Candle Highlight — sharply highlighted candle marking the final pivot before a macro reversal. ✅ Custom Color Controls (Style Tab) All visual styling lives in the Style tab, with clearly labeled fields: • Markup Zone • Markdown Zone • Start Candle Highlight Markup • Start Candle Highlight Markdown ✅ Minimal Input Section Just one toggle: display mode. Everything else is kept clean and intuitive. 🧠 Purpose: This script is made for any timeframe: • Zoom into lower timeframes to know whether you're trading inside a Markup or Markdown • Use it during strategy testing for true structural awareness 📅 Handpicked Macro Turning Points: Each zone originates from a manually confirmed candle — the last meaningful candle before a shift in control between bulls and bears: • FRI 19 AUG 2011 12PM – MARK DOWN • THU 20 OCT 2011 12AM – MARK UP • WED 10 APR 2013 12PM – MARK DOWN • FRI 12 APR 2013 12PM – MARK UP • SAT 30 NOV 2013 12AM – MARK DOWN • WED 14 JAN 2015 12PM – MARK UP • SUN 17 DEC 2017 12PM – MARK DOWN • SAT 15 DEC 2018 12PM – MARK UP • WED 14 APR 2021 4AM – MARK DOWN • TUE 22 JUN 2021 12PM – MARK UP • WED 10 NOV 2021 12PM – MARK DOWN • MON 21 NOV 2022 8PM – MARK UP • THU 14 MAR 2024 4AM – MARK DOWN • MON 5 AUG 2024 12PM – MARK UP • MON 20 JAN 2025 4AM – MARK DOWN 💡 Zones are manually updated by me after each new confirmed Markup or Markdown. 🧬 Fractal Structure for MTF Systems Price is fractal — meaning the same principles of structure repeat across all timeframes. In Version 2, this tool evolves by introducing manually selected sub-zones inside each High Time Frame (HTF) Markup or Markdown. These sub-zones reflect Medium Timeframe (MTF) structure shifts, offering precision for traders who operate on both intraday and swing levels. This makes the indicator ideal for low timeframe (LTF) Markup/Markdown awareness — whether you're managing 15m entries or building multi-timeframe confluence systems. No auto-zones. No guesswork. Just clean, intentional structure division within the broader trend, handpicked for maximum clarity and edge. 💡 Pro Tip: When price is inside a Markup Zone, shorting becomes riskier — you're trading against a macro bullish structure. When inside a Markdown Zone, longing becomes riskier — you're fighting against confirmed bearish momentum. Use this tool to stay aligned with the broader move, especially when zoomed into smaller timeframes or managing entries/exits during intraday setups. 📈 Markup Phase – Bullish Sentiment Definition: A period where price makes higher highs and higher lows — the uptrend is in full force. Why sentiment is bullish: - Institutions and smart money are already positioned long. - Public/institutional demand drives prices up. - Momentum is supported by positive news, breakouts, and FOMO. - Higher highs confirm buyers are in control. 📉 Markdown Phase – Bearish Sentiment Definition: A period where price makes lower lows and lower highs — clear downtrend. Why sentiment is bearish: - Distribution has already occurred, and supply outweighs demand. - Smart money is short or sidelined, waiting for deeper prices. - Panic selling or trend-following traders add downside momentum. - Lower lows confirm sellers are in control. ❌ Trading Against the Trend — Consequences: -Reduced Probability of Success -You’re fighting the dominant flow. Most participants are pushing in the opposite direction. -Drawdowns & Stop-Outs -Countertrend trades often get wicked or flushed before any meaningful move, especially without structure-based entries. -Low Risk-Reward Ratio -Trends offer sustained moves. Countertrend trades may have small take-profit zones or chop. -Mental Drain & Doubt -Fighting momentum causes anxiety, second-guessing, and emotional reactions. -Missed Opportunities -Focusing on fighting the trend makes you blind to the high-probability setups with the trend. -Increased Transaction Costs -More stop-outs and re-entries mean more fees, more friction. -FOMO from Watching the Trend Run -Entering countertrend means you might watch the trend explode without you. -Confirmation Bias & Stubbornness -Countertrend traders often look for reasons to justify staying in the wrong direction — leading to bigger losses. 🧠 Summary In markup = bulls dominate → you swim with the current. In markdown = bears dominate → going long is like pushing a rock uphill. Trading with the trend is not just safer, it's smarter. The edge lives in momentum — not ego. ⚠️ Disclaimer This indicator is for educational and analytical use only. It is not financial advice and should not be relied on for decision-making without personal analysis. This is not a predictive tool. No indicator can forecast upcoming price movements. What you see here is based purely on past market behavior — specifically, historical tops and bottoms that marked the start of confirmed reversals. This script does not know where the next reversal begins, nor can it determine where a new Markup or Markdown starts or ends. It is designed to provide context, not prediction. Always trade with responsibility and perform your own due diligence.
Wskaźnik Pine Script®
od CryptoPandaTA
Uptrick: Oscillator SpectrumUptrick: Oscillator Spectrum is a versatile trading tool designed to bring together multiple aspects of technical analysis—oscillators, momentum signals, divergence checks, correlation insights, and more—into one script. It includes customizable overlays and alert conditions intended to address a wide range of market conditions and trading styles. Developed in Pine Script™, Uptrick: Oscillator Spectrum represents an extended version of the classic Ultimate Oscillator concept. It consolidates short-, medium-, and long-term momentum readings, applies correlation analysis across different symbols, and offers optional table-based metrics to provide traders with a more structured overview of potential trade setups. Whether used alongside your existing charts or as a standalone toolkit, it aims to build on and enhance the functionality of the standard Ultimate Oscillator. ### A Few Key Features - Momentum Insights: Multiple timeframes for oscillators, plus buy/sell signal modes for flexible identification of overbought/oversold situations or crossovers. - Divergence Detection: Automated checks for bullish/bearish divergences, aiming to help traders spot potential shifts in momentum. - Correlation Meter: A visual histogram summarizing how selected assets are collectively trending. It is useful for tracking the bigger market picture. - Gradient Overlays & Bar Coloring: Dynamic color transitions designed to emphasize changes in momentum, trend shifts, and overall sentiment without cluttering the chart. - Money Flow Tracker: Tracks the flow of money into and out of the market using a smoothed Money Flow Index (MFI). Highlights overbought/oversold conditions with dynamic bar coloring and visual gradient fills, helping traders assess volume-driven sentiment shifts. - Advanced Table Metrics: An optional table showing return on investment (ROI), collateral risk, and other contextual metrics for supported assets. - Alerts & Automation: Configurable alerts covering divergence events, crossing of critical levels, and more, helping to keep traders informed of developments in real time. ### Intended Usage - For Multiple Markets: Works on various markets (cryptocurrencies, forex pairs, stocks) to deliver a consistent view of momentum, potential entry/exit signals, and correlation. - Adaptable Trading Styles: With customizable input settings, you can enable or disable specific features to align with your preferred strategies—intraday scalping, swing trading, or position holding. By combining these elements under one indicator, Uptrick: Oscillator Spectrum allows traders to streamline analysis workflows, helping them stay focused on interpreting market moves and making informed decisions rather than juggling multiple scripts. Purpose Purpose of the “Uptrick: Oscillator Spectrum” Indicator The “Uptrick: Oscillator Spectrum” indicator is intended to bring together several technical analysis elements into one tool. It combines oscillator-based momentum readings across different lookback periods, checks for potential divergences, provides optional buy/sell signal triggers, and offers correlation-based insights across multiple symbols. Additionally, it includes features such as bar coloring, gradient visualization, and user-configurable alerts to help highlight various market conditions. By consolidating these functions, the script aims to help users systematically observe changing momentum, identify when prices reach user-defined overbought or oversold levels, detect when oscillator movements diverge from price, and examine whether different assets are aligning or diverging in their trends. The indicator also allows for optional advanced metric tables, which can supply further context on risk, ROI calculations, or other factors for supported assets. Overall, the script’s purpose is to organize multiple layers of technical analysis so that users have a structured way to evaluate potential trade opportunities and market behavior. ## Usage Guide Below is an outline of how you can utilize the various components and features of Uptrick: Oscillator Spectrum in your charting workflow. --- ### 1. Using the Core Oscillator - Basic View: By default, the script calculates a multi-timeframe oscillator (commonly displayed as the “Ultimate Oscillator”). This oscillator combines short-, medium-, and long-term measurements of buying pressure and true range. - Overbought/Oversold Zones: You can configure thresholds (e.g., 70 for overbought, 30 for oversold) to help identify potential turning points. When the oscillator crosses these levels, it may indicate that price is extended in one direction. - You can use the colors of the main oscillator to help you take short-term trades as well: cyan : Buy , red: Sell - Alerts: If you enable alerts, the indicator can notify you when the oscillator crosses above or below your chosen overbought/oversold boundaries or when you get buy/sell signals. --- ### 2. Buy/Sell Signals in Overlay Modes Uptrick: Oscillator Spectrum provides several signal modes and a choice between overlay true and overlay false or both. Additionally, you can pick which “line” (data source) the script uses to generate signals. This is set in the “Line to Analyze” dropdown, which includes Oscillator, HMA of Oscillator, and Moving Average. The following sections describe how each piece fits together. --- #### Line to Analyze - Overlay Flase: Oscillator / HMA of Oscillator / Moving Average 1. Oscillator - The core momentum reading, reflecting short-, medium-, and long-term periods combined. 2. HMA of Oscillator - Applies a Hull Moving Average to the oscillator, creating a smoother but still responsive curve. - Signals will be derived from this smoothed line. Some traders find it filters out minor fluctuations while remaining quicker to react than standard averages. 3. Moving Average - Uses a user-selected MA type (SMA, EMA, WMA, etc.) over the oscillator values, rather than the raw oscillator itself. - Tends to be more stable than the raw oscillator, but might delay signals more depending on the chosen MA settings. --- #### Signal Modes Regardless of which line you choose to analyze, you can use one of the following seven signal modes in overlay being true: 1. Overbought/Oversold (Pyramiding) - What It Does: - Buy signal when the chosen line crosses below the oversold threshold. - Sell signal when it crosses above the overbought threshold. - Pyramiding: - Allows multiple triggers within the same overbought/oversold event. 2. Overbought/Oversold (Non Pyramiding) - What It Does: - Same thresholds but only one signal per oversold or overbought event. - Use Case: - Prevents repeated signals and chart clutter. 3. Smoothed MA Middle Crossover - What It Does: - Uses an MA defined by the user. - Buy when crossing above the midpoint (50), Sell when crossing below. - Use Case: - Generates fewer signals, focusing on broader momentum shifts. There is no pyramiding. In this image ,for example, the VWMA is used with length of 14 to identify buy sell signals. 4. Crossing Above Overbought/Below Oversold (Non Pyramiding) - What It Does: - Buy occurs if the line exits oversold territory by crossing back above it. - Sell occurs if the line exits overbought territory by crossing back below it. - Non Pyramiding: - Restricts repeated signals until conditions reset. 5. Crossing Above Overbought/Below Oversold (Pyramiding) - What It Does: - Same thresholds, but allows multiple signals if the line repeatedly dips in and out of overbought or oversold. - Use Case: - More frequent entries/exits for active traders. 6. Divergence (Non Pyramiding) - What It Does: - Identifies bullish or bearish divergences using the chosen line vs. price. - Buy for bullish divergence (higher low on the line vs. lower low on price), Sell for bearish divergence. - Single Trigger: - Only one signal per identified divergence event. (non pyramiding) 7. Divergence (Pyramiding) - What It Does: - Same divergence logic but triggers multiple times if the script sees repeated divergence in the same direction. - Use Case: - Could suit traders who layer positions during sustained divergence scenarios. #### Overlay Modes: True vs. False 1. Overlay True - Buy/sell arrows or labels plot directly on the main price chart, often at or near candlesticks. - Bar Coloring: - Can turn the candlestick bars green (buy) or red (sell), with intensity reflecting signal recency if bar coloring is enabled for this mode. (read below.) - Advantage: - Everything (price, signals, bar colors) is in one spot, making it straightforward to associate signals with current market action. You can adjust the periods of the main oscillator or lookback periods of divergences or overbought/oversold thresholds, to play around with your signals. 2. Overlay False - Signal Placement: - Signals appear in a sub-window or oscillator panel, leaving the main price chart uncluttered. - Bar Coloring: - You may still enable bar colors on the main chart (green for buy, red for sell) if desired. - Alternatively, you can keep them neutral if you prefer a completely separate display of signals. - Advantage: - Clear separation of price action from signals, useful for cleaner charts or if using multiple overlay-based tools. At the bottom are the signals for overlay being false and on the chart are the signals for overlay being true: #### Bar Color Adjustments 1. Coloring Logic - Bars typically go green on buy signals, red on sell signals. - The opacity or brightness can vary to indicate signal freshness. When a new signal is formed, the color gets brighter. When there is no signal for a longer period of time, then the color slowly fades. 2. Enabling Bar Coloring - In the indicator’s settings, turn on Bar Coloring. - Choose “Signals Overlay True” or “Signals Overlay False” from the “Color should depend on:” dropdown, depending on which overlay approach you want to drive your bar colors. You can also chose the cloud fill in overlay false, correlation meter and smoothed HMA to color bars. Read more below: ### Bar Color Options: When you enable bar coloring in Uptrick: Oscillator Spectrum, you can select which component or signal logic drives the color changes. Below are the five available choices: --- #### Option 1: Overlay True Signals - What It Does: - Uses signals generated under the Overlay True mode to color the bars on your main chart. - If a buy signal is triggered, bars turn green. If a sell signal occurs, bars turn red. - Color Intensity: - Bars appear brighter (more opaque) immediately after a new signal fires, then gradually fade over subsequent bars if no new signal appears. --- #### Option 2: Overlay False Signals - What It Does: - Links bar coloring to signals generated when Overlay False mode is active. - Buy/sell labels typically plot in a separate sub-window instead of the main chart, but your price bars can still change color based on these signals. - Color Intensity: - Similar to Overlay True, new buy/sell signals yield stronger color intensity, which fades over time. - Use Case: - Helps maintain a clean main chart (with signals off-chart) while still providing an immediate color-coded indication of a buy or sell state. - Particularly useful if you prefer less clutter from signal markers on your price chart yet still want a visual representation of signal timing. In this example normal divergence Pyramiding Signals are used in the overlay being true and the signals in overlay false are signals that analyze the HMA. This can help clear out noise (using a combo of both). Option 3: Money Flow Tracker What It Does: The Money Flow Tracker uses the Money Flow Index (MFI), a volume-weighted oscillator, to measure the strength of money flowing into or out of an asset. The script smooths the raw MFI data using an EMA for a more responsive and visually intuitive output. The feature also includes dynamic color gradients and bar coloring that highlight whether money flow is positive or negative. Green Fill/Bar Color: Indicates positive money flow, suggesting potential accumulation. Red Fill/Bar Color: Indicates negative money flow, signaling potential distribution. Overbought and oversold thresholds are dynamically emphasized with transparency, making it easier to identify high-confidence zones. Use Case: Ideal for traders focusing on volume-driven sentiment to identify turning points or confirm existing trends. Suitable for assessing broader market conditions when used alongside other indicators like oscillators or correlation analysis. Provides additional clarity in spotting areas of accumulation or distribution, making it a valuable complement to price action and momentum studies. --- #### Option 4: Correlation Meter - What It Does: - Colors the bars based on the indicator’s Correlation Meter output. The script checks multiple chosen tickers and sums up how many are trending positively or negatively. - If the meter indicates an overall bullish bias (e.g., more than three assets in uptrend), bars turn green; if it’s bearish, bars turn red. - Trend Readings: - The correlation meter typically plots a histogram of bullish/neutral/bearish states. The bar color option links your chart’s candlestick coloring to that higher-level market sentiment. - Use Case: - Useful for traders wanting a quick visual prompt of whether the broader market (or a selection of related assets) is bullish or bearish at any given time. - Helps avoid signals that conflict with the market majority. #### Option 5: Smoothed HMA - What It Does: - Bar colors are driven by the slope or state of the Hull Moving Average (HMA) of the oscillator, rather than individual buy/sell triggers or correlation data. - If the HMA indicates a strong upward slope (possibly darkening), bars may turn green; if the slope is downward (purple in the HMA line), bars turn red. - Use Case: - Ideal for those who focus on momentum continuity rather than discrete signals like overbought/oversold or divergence. - May help identify smoother, more sustained moves, as the HMA filters out minor oscillations. --- ### 3. Using the Hull Moving Average (HMA) of the Oscillator - HMA Calculation: You can enable a dedicated Hull Moving Average (HMA) for the oscillator. This creates a smoother line of the same underlying momentum reading, typically responding more quickly than classic moving averages. - Color Intensity: As the HMA sustains an uptrend or downtrend, the script can adjust the line’s color. When slope momentum persists in one direction, the color appears more opaque. This intensification can hint that the existing direction may be well-established. - Reversal Potential: If you observe the HMA color shifting or darkening after multiple bars of slope in the same direction, it may indicate increasing momentum. Conversely, a sudden flattening or change in color can be a clue that momentum is waning. --- ### 4. Moving Average Overlays & Gradient Cloud - Oscillator MA: The script allows you to apply moving average types (SMA, EMA, SMMA, WMA, or VWMA) to the core oscillator, rather than to price. This can smooth out noise in the oscillator, potentially highlighting more consistent momentum shifts. - Gradient Cloud: You can also enable a cloud in overlay true between two moving averages (for instance, a Hull MA and a Double EMA) on the price chart. The cloud fills with different colors, depending on which MA is above the other. This can provide a quick visual reference to bullish or bearish areas. --- ### 5. Divergence Detection - Bullish & Bearish Divergence: By toggling “Calculate Divergence,” the script looks for oscillator pivots that contrast with price pivots (e.g., price making a lower low while the oscillator makes a higher low). - A divergence is when the price makes an opposite pivot to the indicator value. E.g. Price makes lower low but indicator does higher low - This suggests a bullish divergence. THe opposite is for a bearish divergence. - Visual Labels: When a divergence is found, labels (such as “Bull” or “Bear”) appear on the oscillator. This helps you see if the oscillator’s momentum patterns differ from the price movement. - Filtering Signals: You can combine divergence signals with other features like overbought/oversold or the HMA slope to refine potential entries or exits. --- ### 6. Correlation & Multi-Ticker Analysis - Correlation Meter: You can select up to five tickers in the settings. The script calculates a slope-based metric for each, then combines those metrics to show an overall bullish or bearish tendency (displayed as a histogram). - Bar Coloring & Overlay: If you activate correlation-based bar coloring, it will reflect the broader trend alignment among the selected assets, potentially indicating when most are trending in the same direction. - Use Case: If you trade multiple markets, the correlation histogram can help you quickly see if several major assets support the same market bias or are diverging from one another. — ### 7. Money Flow Tracker Money Flow Calculation: The Money Flow Tracker calculates the Money Flow Index (MFI) based on price and volume data, factoring in buying pressure and selling pressure. The output is smoothed using a low-lag EMA to reduce noise and enhance usability. Visual Features: Dynamic Gradient Fill: The space between the smoothed MFI line and the midline (set at 50) is filled with a gradient. Above 50: Green gradient, with intensity increasing as the MFI moves further above the midline. Below 50: Red gradient, with intensity increasing as the MFI moves further below the midline. This gradient provides a clear visual representation of money flow strength and direction, making it easier to assess sentiment shifts at a glance. Overbought/Oversold Levels: Default thresholds are set at 70 (overbought) and 30 (oversold). When the MFI crosses these levels, it signals potential reversals or trend continuations. Bar Coloring: Bars turn green for positive money flow and red for negative money flow. Color intensity fades over time, ensuring recent signals stand out while older ones remain visible without dominating the chart. Alerts: Alerts are triggered when the Money Flow Tracker crosses into overbought or oversold zones, keeping traders informed of critical conditions without constant monitoring. Practical Applications: Trend Confirmation: Use the Money Flow Tracker alongside the oscillator or HMA to confirm trends or identify potential reversals. Volume-Based Reversal Signals: Spot turning points where price action aligns with shifts in money flow direction. Sentiment Analysis: Gauge whether market participants are accumulating (positive flow) or distributing (negative flow) assets, offering an additional layer of insight into price movement. (Space for an example chart: “Money Flow Tracker with gradient fills and overbought/oversold levels”) ### 8. Putting It All Together - Combining Signals: A practical approach might be to watch for a bullish divergence in the oscillator, confirm it with a shift in the HMA slope color, and then wait for the price to be near or below oversold conditions. The correlation histogram may further confirm if the broader market is also leaning bullish at that time. - Visual Cues: Bar coloring adds another layer, making your chart easier to interpret at a glance. You can also set alerts to ensure you don’t miss key events like divergences, crossovers, or moving average flips. - Flexibility: Not every feature needs to be used simultaneously. You might opt to focus on divergences and overbought/oversold signals, or you could emphasize the correlation histogram and bar colors. The settings let you enable or disable each module to suit your style. --- ### 9. Tips for Customization - Adjust Periods: Shorter periods can yield more signals but also more noise. Longer periods may provide steadier, but fewer, signals. - Set Appropriate Alert Conditions: Only alert on events most relevant to your strategy to avoid overload. - Explore Different MAs: Depending on the instrument, some moving average types may give a smoother or more responsive indication. - Monitor Risk Management: As with any tool, these signals do not guarantee performance, so consider position sizing and stop-loss strategies. --- By toggling and experimenting with the features described above—buy/sell signals, divergences, moving averages, dynamic gradient clouds, and correlation analysis—you can tailor Uptrick: Oscillator Spectrum to your specific trading approach. Each module is designed to give you a clearer, structured view of potential momentum shifts, overbought or oversold states, and the alignment or divergence of multiple assets. ## Features Explanation Below is a detailed overview of key features in Uptrick: Oscillator Spectrum. Each component is designed to provide different angles of market analysis, allowing you to customize the tool to your preferences. --- ### 1. Main Oscillator - Purpose: The primary oscillator in this script merges short-, medium-, and long-term views of buying pressure and true range into a single line. - Calculation: It weights each period’s contribution (e.g., a heavier focus on the short period if desired) and normalizes the result on a 0–100 scale, where higher readings may suggest more robust momentum. (like from the classic Ultimate Oscillator) - Practical Use: - Traders can watch for overbought/oversold conditions at user-defined thresholds (e.g., 70/30). - It can also provide a straightforward momentum reading for those who prefer to see if momentum is rising, falling, or leveling off. --- ### 2. HMA of the Smoothed Oscillator - What It Is: A Hull Moving Average (HMA) applied to the main oscillator values. The HMA is often more responsive than standard MAs, offering smoother lines while preserving relatively quick reaction to changes. - How It Works: - The script takes the oscillator’s output and processes it through a Hull MA calculation. - The HMA’s slope and color can change more dynamically, highlighting sharper momentum shifts. - Why It’s Useful: - By smoothing out minor fluctuations, the HMA can highlight trends in the oscillator’s trajectory. - If you see an extended run in the HMA slope, it may indicate a more persistent trend in momentum. - Color Intensity: - As the HMA continues in one direction for several bars, the script can intensify the color, signaling stronger or more sustained momentum in that direction. - Sudden changes in color or slope can signal the start of a new momentum swing. --- ### 3. Gradient Fill This script uses two gradient-based visual elements: 1. Shining/Layered Gradient on the Main Oscillator - Purpose: Adds multiple layers around the oscillator line (above and below) to emphasize slope changes and highlight how quickly the oscillator is moving up or down. - Color Changes: - When the oscillator rises, it uses a color scheme (e.g., aqua/blue) that intensifies as the slope grows. - When the oscillator declines, it uses a distinct color (e.g., red/pink). - User Benefit: Makes it easier to see at a glance if momentum is accelerating or decelerating, beyond just the numerical reading. 2. Dynamic Cloud Fill (Between MAs) - Purpose: Allows you to plot two moving averages (for example, a short-term Hull MA and a longer-term DEMA) and fill the area between them with a color gradient. - Bullish vs. Bearish: - When the short MA is above the long MA, the cloud might appear in a greenish hue. - When the short MA is below the long MA, the cloud can switch to red or another color. - Transparency/Intensity: - The fill can get more opaque if the difference between the two MAs is large, indicating a stronger trend but a higher probability of a reversal. - User Benefit: Helps visualize changes in trend or momentum across multiple time horizons, all within a single chart overlay. --- ### 4. Correlation Meter & Symbol Inputs - What It Is: This feature looks at multiple user-selected symbols (e.g., BTC, ETH, BNB, etc.) and computes each symbol’s short-term slope. It then aggregates these slopes into an overall “trend” score. - Inputs Configuration: 1. Ticker Inputs: You can specify up to five different tickers. 2. Timeframe: Decide whether to pull data from different chart timeframes for each symbol. 3. Slope Calculation: The script may compute, for instance, a 5-period SMA minus a 20-period SMA to gauge if each symbol is trending up or down. - Market Trend Histogram: - Displays a column that goes above/below zero depending on how many symbols are bullish or bearish. - If more than three (out of five) symbols are bullish, the histogram can show a green bar at +1; if fewer than three are bullish, it can show red at –1. - How to Use: - Quick Glance: Lets you know if most correlated assets are aligning or diverging. - Bar Coloring (Optional): If enabled, your main chart’s bars can reflect the aggregated correlation, turning green or red depending on the meter’s reading. --- ### 5. Advanced Metrics Table - What It Is: An optional table displaying additional metrics for several cryptocurrencies (or any symbols you define). - Metrics Included: 1. ROI (30D): Calculates return relative to the lowest price in a 30-day period. 2. Collateral Risk: Uses standard deviation to assess volatility (higher risk if standard deviation is large). 3. Liquidity Recovery: A rolling average of volume, aiming to show how liquidity flows might recover over time. 4. Weakening (Rate of Change): Reflects how quickly price is changing compared to previous bars. 5. Monetary Bias (SMA): A simple average of recent prices. If price is below this SMA, it might be seen as undervalued relative to the short term. 6. Risk Phase: Categorizes risk as low, medium, or high based on the standard deviation figure. 7. DCA Signal: Suggests “Accumulate” or “Do Not Accumulate” by checking if the current price is below or above the SMA. - Why It’s Useful: - Offers a concise view of multiple assets in one place—helpful for portfolio-level insight. - DCA (Dollar-Cost Averaging) suggestions can guide longer-term strategies, while volatility (collateral risk) helps gauge how aggressive the price swings might be. --- ### 6. Other Vital Aspects - Alerts & Notifications: - The script can trigger alerts for various conditions—crossovers, divergence detections, overbought/oversold transitions, or correlation-based signals. - Useful for automating watchlists or ensuring you don’t miss a key setup while away from the screen. - Customization: - Each module (oscillator settings, divergence detection, correlation meter, advanced metrics table, etc.) can be enabled or disabled based on your preferences. - You can fine-tune parameters (e.g., periods, smoothing lengths, alert triggers) to align the indicator with different trading styles—scalping, swing, or position trading. - Combining Features: - One might watch the main oscillator for momentum extremes, confirm via the HMA slope, check if correlation supports the same bias, and look at the table for risk-phase validation. - This multi-layer approach can help develop a more structured and informed trading view. (Space for an example chart: “A fully configured layout showing oscillator, HMA, gradient cloud, correlation meter, and table all in use.”) 7. Money Flow Tracker Purpose: The Money Flow Tracker adds a volume-based perspective to the indicator suite by incorporating the Money Flow Index (MFI), which assesses buying and selling pressure over a defined period. By smoothing the MFI using an exponential moving average (EMA), the feature highlights the directional flow of capital into and out of the market with greater clarity and reduced noise. Dynamic Gradient Visualization: The Money Flow Tracker enhances visual analysis with gradient fills that reflect the MFI’s relationship to the midline (50). Above 50: A green gradient emerges, intensifying as the MFI moves higher, indicating stronger positive money flow. Below 50: A red gradient appears, with deeper shades signifying increasing selling pressure. Transparency dynamically adjusts based on the MFI’s proximity to the midline, making high-confidence zones (closer to 0 or 100) visually distinct. Directional Sensitivity: The Tracker emphasizes the importance of overbought (above 70) and oversold (below 30) zones. These thresholds help traders identify when an asset might be overextended, signaling potential reversals or trend continuations. The inclusion of a midline (50) as a neutral zone helps gauge shifts between accumulation (money flowing in) and distribution (money flowing out). Bar Integration: By enabling bar coloring linked to the Money Flow Tracker, traders can visualize its impact directly on price bars. Green bars reflect positive money flow (above 50), signaling bullish conditions. Red bars indicate negative money flow (below 50), highlighting bearish sentiment. Intensity adjustments ensure that recent signals are more visually prominent, while older signals gradually fade for a clean, non-cluttered chart. Key Advantages: Volume-Informed Context: Traditional oscillators often focus solely on price; the Money Flow Tracker incorporates volume, adding a crucial dimension for analyzing market behavior. Adaptive Filtering: The EMA-smoothing feature ensures that sudden, insignificant spikes in volume don’t trigger false signals, providing a clearer and more actionable representation of money flow trends. Early Warning System: Divergences between price movement and the Money Flow Tracker’s trends can signal potential turning points, helping traders anticipate reversals before they occur. Practical Use Cases: Trend Confirmation: Pair the Money Flow Tracker with the oscillator or HMA to confirm bullish or bearish trends. For example, a rising oscillator with positive money flow indicates strong buying interest. Identifying Entry/Exit Zones: Use overbought/oversold conditions as entry/exit points, particularly when combined with other features like divergence detection. Market Sentiment Analysis: The Tracker’s ability to dynamically assess buying and selling pressure provides a clear picture of market sentiment, helping traders adjust their strategies to align with broader trends. By understanding these features—main oscillator readings, the HMA’s smoothing capabilities, gradient-based visual highlights, correlation insights, advanced metrics, and the money flow tracker—you can tailor Uptrick: Oscillator Spectrum to your specific needs, whether you’re focusing on quick trades, longer-term market moves, or broad portfolio health. Originality of the “Uptrick: Oscillator Spectrum” Indicator While it includes elements of standard momentum analysis, Uptrick: Oscillator Spectrum sets itself apart by adding an array of features that broaden the typical oscillator’s scope: 1. Slope Coloring & Layered Gradient Effects - Beyond just plotting a single line, the indicator visually highlights momentum shifts using color changes and gradient fills. - As the oscillator’s slope becomes steeper or flatter, these gradients intensify or fade, helping users see at a glance when momentum is accelerating, slowing, or reversing. 2. Mean Reversion & Divergence Detection - The script offers optional logic for marking potential mean reversion points (e.g., overbought/oversold crossovers) and flagging divergences between price and the oscillator line. - These divergence signals come with adjustable lookback parameters, giving traders control over how recent or extended the pivots should be for detection. - This functionality can reveal subtle momentum discrepancies that a basic oscillator might overlook. 3. Integrated Multi-Asset Correlation Meter - In addition to monitoring a single symbol, the indicator can fetch data for multiple tickers. It aggregates each symbol’s slope into a histogram showing whether the broader market (or a group of assets) leans bullish or bearish. - This cross-market insight moves beyond standard “one-symbol, one-oscillator” usage, adding a bigger-picture perspective in one tool. 4. Advanced Metrics Table - Users can enable a table that covers ROI calculations, volatility-based risk (“Collateral Risk”), liquidity checks, DCA signals, and more. - Rather than just seeing an oscillator value, traders can view additional metrics for selected assets in one place, helping them judge overall market conditions or assess multiple instruments simultaneously. 5. Flexible Overlay & Bar Coloring - Signals can be displayed directly on the price chart (Overlay True) or in a sub-window (Overlay False). - Bars themselves may change color (e.g., green for bullish or red for bearish) according to different rules—signals, dynamic cloud fill, correlation meter states, etc. - This adaptability allows traders to keep the chart as simple or as info-rich as they prefer. 6. Custom Smoothing Options & HMA Extensions - The oscillator can be processed further with a Hull Moving Average (HMA) to reduce noise while still reacting quickly to market changes. - Slope-based coloring on the HMA provides an additional layer of visual feedback, which is not common in a standard oscillator. By blending traditional momentum checks with slope-based color feedback, mean reversion triggers, divergence signals, correlation analysis, and an optional metrics table, Uptrick: Oscillator Spectrum offers a more rounded approach than a typical oscillator. It integrates multiple market insights—both visual and analytical—into one script, giving users a broader toolkit for studying potential reversals, gauging momentum strength, and assessing multi-asset trends. ## Conclusion Uptrick: Oscillator Spectrum brings together multiple layers of analysis—oscillator momentum, divergence detection, correlation insights, HMA smoothing, and more—into one adaptable toolkit. It aims to streamline your charting process by offering meaningful visual cues (such as gradient fills and bar color shifts), advanced tables for broader market data, and flexible alerts to keep you informed of potential setups. Traders can choose the specific features that suit their style, whether they prefer to focus on raw oscillator signals, multi-ticker correlation, or smooth trend cues from the HMA. By centralizing these different methods in one place, Uptrick: Oscillator Spectrum can help users build more structured approaches to spotting trend shifts and extended conditions, while also remaining compatible with additional analysis techniques. --- ### Disclaimer This script is provided for informational purposes only and does not constitute financial or investment advice. Past performance is not indicative of future results, and all trading involves risk. You should carefully consider your objectives, risk tolerance, and financial situation before making any trading decisions.
Wskaźnik Pine Script®
od Uptrick
AI Momentum [YinYang]Overview: AI Momentum is a kernel function based momentum Indicator. It uses Rational Quadratics to help smooth out the Moving Averages, this may give them a more accurate result. This Indicator has 2 main uses, first it displays ‘Zones’ that help you visualize the potential movement areas and when the price is out of bounds (Overvalued or Undervalued). Secondly it creates signals that display the momentum of the current trend. The Zones are composed of the Highest Highs and Lowest lows turned into a Rational Quadratic over varying lengths. These create our Rational High and Low zones. There is however a second zone. The second zone is composed of the avg of the Inner High and Inner Low zones (yellow line) and the Rational Quadratic of the current Close. This helps to create a second zone that is within the High and Low bounds that may represent momentum changes within these zones. When the Rationalized Close crosses above the High and Low Zone Average it may signify a bullish momentum change and vice versa when it crosses below. There are 3 different signals created to display momentum: Bullish and Bearish Momentum. These signals display when there is current bullish or bearish momentum happening within the trend. When the momentum changes there will likely be a lull where there are neither Bullish or Bearish momentum signals. These signals may be useful to help visualize when the momentum has started and stopped for both the bulls and the bears. Bullish Momentum is calculated by checking if the Rational Quadratic Close > Rational Quadratic of the Highest OHLC4 smoothed over a VWMA. The Bearish Momentum is calculated by checking the opposite. Overly Bullish and Bearish Momentum. These signals occur when the bar has Bullish or Bearish Momentum and also has an Rationalized RSI greater or less than a certain level. Bullish is >= 57 and Bearish is <= 43. There is also the option to ‘Factor Volume’ into these signals. This means, the Overly Bullish and Bearish Signals will only occur when the Rationalized Volume > VWMA Rationalized Volume as well as the previously mentioned factors above. This can be useful for removing ‘clutter’ as volume may dictate when these momentum changes will occur, but it can also remove some of the useful signals and you may miss the swing too if the volume just was low. Overly Bullish and Bearish Momentum may dictate when a momentum change will occur. Remember, they are OVERLY Bullish and Bearish, meaning there is a chance a correction may occur around these signals. Bull and Bear Crosses. These signals occur when the Rationalized Close crosses the Gaussian Close that is 2 bars back. These signals may show when there is a strong change in momentum, but be careful as more often than not they’re predicting that the momentum may change in the opposite direction. Tutorial: As we can see in the example above, generally what happens is we get the regular Bullish or Bearish momentum, followed by the Rationalized Close crossing the Zone average and finally the Overly Bullish or Bearish signals. This is normally the order of operations but isn’t always how it happens as sometimes momentum changes don’t make it that far; also the Rationalized Close and Zone Average don’t follow any of the same math as the Signals which can result in differing appearances. The Bull and Bear Crosses are also quite sporadic in appearance and don’t generally follow any sort of order of operations. However, they may occur as a Predictor between Bullish and Bearish momentum, signifying the beginning of the momentum change. The Bull and Bear crosses may be a Predictor of momentum change. They generally happen when there is no Bullish or Bearish momentum happening; and this helps to add strength to their prediction. When they occur during momentum (orange circle) there is a less likely chance that it will happen, and may instead signify the exact opposite; it may help predict a large spike in momentum in the direction of the Bullish or Bearish momentum. In the case of the orange circle, there is currently Bearish Momentum and therefore the Bull Cross may help predict a large momentum movement is about to occur in favor of the Bears. We have disabled signals here to properly display and talk about the zones. As you can see, Rationalizing the Highest Highs and Lowest Lows over 2 different lengths creates inner and outer bounds that help to predict where parabolic movement and momentum may move to. Our Inner and Outer zones are great for seeing potential Support and Resistance locations. The secondary zone, which can cross over and change from Green to Red is also a very important zone. Let's zoom in and talk about it specifically. The Middle Zone Crosses may help deduce where parabolic movement and strong momentum changes may occur. Generally what may happen is when the cross occurs, you will see parabolic movement to the High / Low zones. This may be the Inner zone but can sometimes be the outer zone too. The hard part is sometimes it can be a Fakeout, like displayed with the Blue Circle. The Cross doesn’t mean it may move to the opposing side, sometimes it may just be predicting Parabolic movement in a general sense. When we turn the Momentum Signals back on, we can see where the Fakeout occurred that it not only almost hit the Inner Low Zone but it also exhibited 2 Overly Bearish Signals. Remember, Overly bearish signals mean a momentum change in favor of the Bulls may occur soon and overly Bullish signals mean a momentum change in favor of the Bears may occur soon. You may be wondering, well what does “may occur soon” mean and how do we tell? The purpose of the momentum signals is not only to let you know when Momentum has occurred and when it is still prevalent. It also matters A LOT when it has STOPPED! In this example above, we look at when the Overly Bullish and Bearish Momentum has STOPPED. As you can see, when the Overly Bullish or Bearish Momentum stopped may be a strong predictor of potential momentum change in the opposing direction. We will conclude our Tutorial here, hopefully this Indicator has been helpful for showing you where momentum is occurring and help predict how far it may move. We have been dabbling with and are planning on releasing a Strategy based on this Indicator shortly. Settings: 1. Momentum: Show Signals: Sometimes it can be difficult to visualize the zones with signals enabled. Factor Volume: Factor Volume only applies to Overly Bullish and Bearish Signals. It's when the Volume is > VWMA Volume over the Smoothing Length. Zone Inside Length: The Zone Inside is the Inner zone of the High and Low. This is the length used to create it. Zone Outside Length: The Zone Outside is the Outer zone of the High and Low. This is the length used to create it. Smoothing length: Smoothing length is the length used to smooth out our Bullish and Bearish signals, along with our Overly Bullish and Overly Bearish Signals. 2. Kernel Settings: Lookback Window: The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars. Recommended range: 3-50. Relative Weighting: Relative weighting of time frames. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel. Recommended range: 0.25-25. Start Regression at Bar: Bar index on which to start regression. The first bars of a chart are often highly volatile, and omission of these initial bars often leads to a better overall fit. Recommended range: 5-25. If you have any questions, comments, ideas or concerns please don't hesitate to contact us. HAPPY TRADING!
Wskaźnik Pine Script®
od YinYangAlgorithms
9
Dee_MeterHere's how you can effectively use the Dee Meter indicator: 1. **Understanding the Basics**: - Dee Meter evaluates the market sentiment across various sectors. - It calculates the overall market trend and presents it in percentage form through a line graph. 2. **Indicator Results**: - When you add the Dee Meter indicator to your chart, you'll notice two key results: Bull and Bear percentages, along with a line graph. - The Bull percentage reflects the strength of bullish (positive) sentiment, while the Bear percentage indicates bearish (negative) sentiment. - For example, if the Bull percentage is 55% and the Bear percentage is 45%, it signifies that the bulls currently have a stronger influence in the market. 3. **Interpreting Percentages**: - Utilize the Bull and Bear percentages to craft your analysis strategy. - A high Bull percentage in a bullish market suggests strong bullish momentum. - In the case of a bullish trend showing signs of weakening (e.g., a double top pattern), monitor the Bull and Bear percentages for early reversal indications. - A decrease in the Bull percentage and an increase in the Bear percentage could hint at a potential market reversal. 4. **Line Graph Analysis**: - The line graph visually depicts the strength of bulls (green line) and bears (red line) over time. - During a bullish trend, the green line rises while the red line remains lower, indicating bullish strength. - Conversely, during a bearish trend, the red line climbs higher, indicating bearish dominance. 5. **Cross Over and Cross Under**: - Cross-over and cross-under scenarios occur when the market abruptly reverses direction. - For instance, in a bullish market that suddenly turns bearish, the red line could cross above the green line, indicating increased bearish power. - In a bearish market that experiences a sudden influx of buying activity, the green line might cross above the red line, signifying strong buying interest. 6. **Applying the Indicator**: - Use the Dee Meter to build your own trading strategies and make informed decisions. - Keep an eye on changes in Bull and Bear percentages to identify shifts in market sentiment. - Monitor line graph movements to assess the relative strength of bulls and bears. In summary, the Dee Meter indicator is a valuable tool for assessing market sentiment and confirming trends in the Indian market. By understanding and utilizing the Bull and Bear percentages, line graph analysis, and cross-over/cross-under scenarios, you can develop effective trading strategies and trade with greater confidence.
Wskaźnik Pine Script®
od DeepakGB
RedK EVEREX - Effort Versus Results ExplorerRedK EVEREX is an experimental indicator that explores "Volume Price Analysis" basic concepts and Wyckoff law "Effort versus Result" - by inspecting the relative volume (effort) and the associated (relative) price action (result) for each bar - showing the analysis as an easy to read "stacked bands" visual. From that analysis, we calculate a "Relative Rate of Flow" - an easy to use +100/-100 oscilator that can be used to trigger a signal when a bullish or bearish mode is detected for a certain user-selected length of bars. Basic Concepts of VPA ------------------------------- (The topics of VPA & Wyckoff Effort vs Results law are too comprehensive to cover here - So here's just a very basic summary - please review these topics in detail in various sources available here in TradingView or on the web) * Volume Price Analysis (VPA) is the examination of the number of shares or contracts of a security that have been traded in a given period, and the associated price movement. By analyzing trends in volume in conjunction with price movements, traders can determine the significance of changes in price and what may unfold in the near future. * Oftentimes, high volumes of trading can infer a lot about investors’ outlook on a market or security. A significant price increase along with a significant volume increase, for example, could be a credible sign of a continued bullish trend or a bullish reversal. Adversely, a significant price decrease with a significant volume increase can point to a continued bearish trend or a bearish trend reversal. * Incorporating volume into a trading decision can help an investor to have a more balanced view of all the broad market factors that could be influencing a security’s price, which helps an investor to make a more informed decision. * Wyckoff's law "Effort versus results" dictates that large effort is expected to be accompanied with big results - which means that we should expect to see a big price move (result) associated with a large relative volume (effort) for a certain trading period (bar). * The way traders use this concept in chart analysis is to mainly look for imbalances or invalidation. for example, when we observe a large relative volume that is associated with very limited price change - that should trigger an early flag/warning sign that the current price trend is facing challenges and may be an early sign of "reversal" - this applies in both bearish and bullish conditions. on the other hand, when price starts to trend in a certain direction and that's associated with increasing volume, that can act as kind of validation, or a confirmation that the market supports that move. How does EVEREX work --------------------------------- * EVEREX inspects each bar and calculates a relative value for volume (effort) and "strength of price movement" (result) compared to a specified lookback period. The results are then visualized as stacked bands - the lower band represents the relative volume, the upper band represents the relative price strength - with clear color coding for easier analysis. * The scale of the band is initially set to 100 (each band can occupy up to 50) - and that can be changed in the settings to 200 or 400 - mainly to allow a "zoom in" on the bands. * Reading the resulting stacked bands makes it easier to see "balanced" volume/price action (where both bands are either equally strong, or equally weak), or when there's imbalance between volume and price (for example, a compression bar will show with high volume band and very small/tiny price action band) - another favorite pattern in VPA is the "Ease of Move", which will show as a relatively small volume band associated with a large "price action band" (either bullish or bearish) .. and so on. * a bit of a techie piece: why the use of a custom "Normalize()" function to calculate "relative" values in EVEREX? When we evaluate a certain value against an average (for example, volume) we need a mechanism to deal with "super high" values that largely exceed that average - I also needed a mechanism that mimics how a trader looks at a volume bar and decides that this volume value is super low, low, average, above average, high or super high -- the issue with using a stoch() function, which is the usual technique for comparing a data point against a lookback average, is that this function will produce a "zero" for low values, and cause a large distortion of the next few "ratios" when super large values occur in the data series - i researched multiple techniques here and decided to use the custom Normalize() function - and what i found is, as long as we're applying the same formula consistently to the data series, since it's all relative to itself, we can confidently use the result. Please feel free to play around with this part further if you like - the code is commented for those who would like to research this further. * Overall, the hope is to make the bar-by-bar analysis easier and faster for traders who apply VPA concepts in their trading What is RROF? -------------------------- * Once we have the values of relative volume and relative price strength, it's easy from there to combine these values into a moving index that can be used to track overall strength and detect reversals in market direction - if you think about it this a very similar concept to a volume-weighted RSI. I call that index the "Relative Rate of Flow" - or RROF (cause we're not using the direct volume and price values in the calculation, but rather relative values that we calculated with the proprietary "Normalize" function in the script. * You can show RROF as a single or double-period - and you can customize it in terms of smoothing, and signal line - and also utilize the basic alerts to get notified when a change in strength from one side to the other (bullish vs bearish) is detected * In the chart above, you can see how the RROF was able to detect change in market condition from Bearsh to Bullish - then from Bullish to Bearish for TSLA with good accuracy. Other Usage Options in EVEREX ------------------------------------ * I wrote EVEREX with a lot of flexibility and utilization in mind, while focusing on a clean and easy to use visual - EVEREX should work with any time frame and any instrument - in instruments with no volume data, only price data will be used. * You can completely hide the "EVEREX bands" and use EVEREX as a single or dual period strength indicator (by exposing the Bias/Sentiment plot which is hidden by default) - here's how this setup would look like - in this mode, you will basically be using EVEREX the same way you're using a volume-weighted RSI * or you can hide the bias/sentiment, and expose the Bulls & Bears plots (using the indicator's "Style" tab), and trade it like a Bull/Bear Pressure Index like this * you can choose Moving Average type for most plot elements in EVEREX, including how to deal with the Lookback averaging * you can set EVEREX to a different time frame than the chart * did i mention basic alerts in this v1.0 ?? There's room to add more VPA-specific alerts in future version (for example, when Ease-of-Move or Compression bars are detected...etc) - let me know if the comments what you want to see Final Thoughts -------------------- * EVEREX can be used for bar-by-bar VPA analysis - There are so much literature out there about VPA and it's highly recommended that traders read more about what VPA is and how it works - as it adds an interesting (and critical) dimension to technical analysis and will improve decision making * RROF is a "strength indicator" - it does not track price values (levels) or momentum - as you will see when you use it, the price can be moving up, while the RROF signal line starts moving down, reflecting decreasing strength (or otherwise, increasing bear strength) - So if you incorporate EVEREX in your trading you will need to use it alongside other momentum and price value indicators (like MACD, MA's, Trend Channels, Support & Resistance Lines, Fib / Donchian..etc) - to use for trade confirmation
Wskaźnik Pine Script®
od RedKTrader
264
Bar metrics / Flowly Indicators— Overview Rather than eyeball evaluating bullishness/bearishness in any given bar, bar metrics allow a quantified approach using three basic fundamental data points: relative close, relative volatility and relative volume. These data points are visualized in a discreet data dashboard form, next to all real-time bars. Each value also has a dot in front, representing color coded extremes in the values. Relative close represents position of bar's close relative to high and low, high of bar being 100% and low of bar being 0%. Relative close indicates strength of bulls/bears in a given bar, the higher the better for bulls, the lower the better for bears. Relative volatility (bar range, high - low) and relative volume are presented in a form of a multiplier, relative to their respective moving averages (SMA 20). A value of 1x indicates volume/volatility being on par with moving average, 2x indicates volume/volatility being twice as much as moving average and so on. Relative volume and volatility can be used for measuring general market participant interest, the "weight of the bar" as it were. — Features Users can gauge past bar metrics using lookback via input menu. Past bars, especially recent ones, are helpful for giving context for current bar metrics. Lookback bars are highlighted on the chart using a yellow box and metrics presented on the data dashboard with lookback symbols: To inspect bar metric data and its implications, users can highlight bars with specified bracket values for each metric: When bar highlighter is toggled on and desired bar metric values set, alert for the specified combination can be toggled on via alert menu. Note that bar highlighter must be enabled in order for alerts to function. — Visuals Bar metric dots are gradient colored the following way: Relative volatility & volume 0x -> 1x / Neutral (white) -> Light (yellow) 1x -> 1.7x / Light (yellow) -> Medium (orange) 1.7x -> 2.4x / Medium (orange) -> Heavy (red) Relative close 0% -> 25% / Heavy bearish (red) -> Light bearish (dark red) 25% -> 45% / Light bearish (dark red) -> Neutral (white) 45% - 55% / Neutral (white) 55% -> 75% / Neutral (white) -> Light bullish (dark green) 75% -> 100% / Light bullish (dark green) -> Heavy bullish (green) All colors can be adjusted via input menu. Label size, label distance from bar (offset) and text format (regular/stealth) can be adjusted via input menu as well: — Practical guide As interpretation of bar metrics is highly contextual, it is especially important to use other means in conjunction with the metrics. Levels, oscillators, moving averages, whatever you have found useful for your process. In short, relative close indicates directional bias and relative volume/volatility indicates "weight" of directional bias. General interpretation High relative close, low relative volume/volatility = mildly bullish, bias up/consolidation High relative close, medium relative volume/volatility = bullish, bias up High relative close, high relative volume/volatility = exuberantly bullish, bias up/down depending on context Medium relative close, low relative volume/volatility = noise, no bias Medium relative close, medium to high relative volume/volatility = indecision, further evidence needed to evaluate bias Low relative close, low relative volume/volatility = mildly bearish, bias down/consolidation Low relative close, medium relative volume/volatility = bearish, bias down Low relative close, high relative volume/volatility = exuberantly bearish, bias down/up depending on context Nuances & considerations As to relative close, it's important to note that each bar is a trading range when viewed on a lower timeframe, ES 1W vs. ES 4H: When relative close is high, bulls were able to push price to range high by the time of close. When relative close is low, bears were able to push price to range low by the time of close. In other words, bulls/bears were able to gain the upper hand over a given trading range, hinting strength for the side that made the final push. When relative close is around middle range (40-60%), it can be said neither side is clearly dominating the range, hinting neutral/indecision bias from a relative close perspective. As to relative volume/volatility, low values (less than ~0.7x) imply bar has low market participant interest and therefore is likely insignificant, as it is "lacking weight". Values close to or above 1x imply meaningful market participant interest, whereas values well above 1x (greater than ~1.3x) imply exuberance. This exuberance can manifest as initiation (beginning of a trend) or as exhaustion (end of a trend):
Wskaźnik Pine Script®
od FlowlyIndicators
5
Supertrend Elite Trend System🏆 SUPERTREND ELITE TREND SYSTEM (SETS) A sophisticated multi-indicator voting system designed for crypto trending markets, combining 10 powerful technical indicators with weighted scoring and trend confirmation. 📊 BACKTESTED PERFORMANCE (2018-2026): - Total Return: +2,170% - Win Rate: 30.23% - Profit Factor: 2.4 - Max Drawdown: 41.72% - Total Trades: 43 🎯 HOW IT WORKS: The system uses 10 carefully selected indicators that "vote" on market direction: 1. Supertrend - Trend following baseline 2. ALMA - Smooth trend detection (Weight: 2) 3. CTI - Correlation Trend Indicator 4. STC - Sebastine Trend Catcher (Weight: 2) 5. GUNXO - Dual EMA trend sniper 6. DEMA DMI - Combined momentum & trend (Weight: 2) 7. MM - Market momentum indicator 8. DMI Loop - Directional movement analysis 9. Trend Oscillator - Fast/slow EMA divergence 10. Stochastic - Overbought/oversold conditions Each indicator votes BULL (+1 or +2) or BEAR (-1 or -2), creating a weighted score out of 13 possible points. 🔥 SIGNAL GENERATION: - STRONG BULL: Score difference > +4 (sustained 2 bars) - WEAK BULL: Score difference > +1 (sustained 2 bars) - WEAK BEAR: Score difference < -1 (sustained 2 bars) - STRONG BEAR: Score difference < -4 (sustained 2 bars) The 2-bar confirmation requirement filters out false signals and reduces whipsaws. 💎 BEST FOR: - Crypto markets (BTC, ETH, major altcoins) - 4H to Daily timeframes - Trending markets (bull or bear) - Long-term position holders ⚠️ NOT RECOMMENDED FOR: - Ranging/sideways markets - Scalping or day trading - Low-volume altcoins - High-frequency trading 📈 VISUAL FEATURES: - Color-coded trend line below price (Green = Bull, Red = Bear) - Real-time score dashboard showing bull/bear votes - Clear action signals (BUY/HOLD, CAUTION, REDUCE, SELL/EXIT) - Built-in alerts for trend changes 💡 STRATEGY: The system is designed for "buy and hold during uptrends" approach. Enter on STRONG BULL or WEAK BULL signals, exit on WEAK BEAR or STRONG BEAR signals. Works best when combined with proper risk management and position sizing. 📱 ALERTS AVAILABLE: - Strong Buy Signal - Strong Sell Signal - Trend Weakening Warning - Bearish Turn Warning Created and backtested by advanced algorithmic trading research. Not financial advice - always do your own research and never risk more than you can afford to lose.
Strategia Pine Script®
od Optimized4U
PSL UltimateOVERVIEW PSL Ultimate is an all-in-one technical analysis toolkit that combines 15+ professional trading modules into a single, customizable indicator. It provides institutional-grade analysis tools including Support/Resistance detection, Supply/Demand zones, Order Blocks, ICT Concepts (FVG, MSS, OB), Liquidation Heatmap, Auto Fibonacci, and a multi-criteria scoring system. Available in three languages: English, Türkçe (Turkish), and 中文 (Chinese). Designed for traders who want comprehensive market analysis without chart clutter, PSL Ultimate allows you to enable only the features you need while maintaining clean visuals and optimal performance. WHAT MAKES THIS INDICATOR ORIGINAL PSL Ultimate is not a simple mashup—it's a carefully engineered system where each module enhances the others. 𝟭. 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 All 15+ modules share common calculations (ATR, pivots, volume) to ensure consistency. For example, the same pivot detection algorithm feeds both S/R zones and Order Block identification, ensuring these levels align rather than conflict. 𝟮. 𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 𝗢𝗿𝗱𝗲𝗿 𝗕𝗹𝗼𝗰𝗸𝘀 Order Blocks from the current timeframe are automatically combined when they overlap, creating "merged" zones with aggregated volume data. This reduces noise while preserving the most significant institutional levels. 𝟯. 𝗩𝗼𝗹𝘂𝗺𝗲𝘁𝗿𝗶𝗰 𝗢𝗿𝗱𝗲𝗿 𝗕𝗹𝗼𝗰𝗸𝘀 Unlike basic OB indicators, PSL Ultimate displays volume breakdown within each Order Block—showing buy vs. sell volume with percentage splits. This helps identify whether an OB is likely to hold or break. 𝟰. 𝗟𝗶𝗾𝘂𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 A unique feature that estimates liquidation cluster zones based on Open Interest changes. It projects where leveraged positions (25x, 50x, 100x) would be liquidated, helping identify potential "magnet" levels for price. 𝟱. 𝟴-𝗖𝗿𝗶𝘁𝗲𝗿𝗶𝗮 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 The Summary Table evaluates 8 independent technical factors and produces a unified directional score (0-8) with percentage confidence for both long and short scenarios. 𝟲. 𝟭𝟬-𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗗𝗶𝘃𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 Scans for divergences across RSI, MACD, MACD Histogram, Momentum, CCI, OBV, Stochastic, DI, VWMACD, and CMF simultaneously. Optional "Simple Mode" requires CCI + OBV confirmation for higher-probability signals. FEATURES LIST 𝗩𝗜𝗦𝗨𝗔𝗟 𝗧𝗢𝗢𝗟𝗦 • EMA Cloud (50/144/169) with crossover signals • Support/Resistance zones with automatic detection • Supply/Demand zones with BOS (Break of Structure) labels • Order Blocks with volumetric breakdown • ICT Concepts: FVG, MSS/BOS, Order Blocks, Liquidity levels • Auto Fibonacci retracement • Fib-based Price Tool with Entry/TP1/TP2/TP3/Stop levels • Bollinger Bands • Automatic Trend Lines • Liquidation Heatmap (OI-based) 𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦 𝗧𝗔𝗕𝗟𝗘𝗦 • Summary Table: 8-criteria scoring for Long/Short • MTF Table: Trend direction across 4 timeframes 𝗔𝗟𝗘𝗥𝗧𝗦 (𝟭𝟲 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀) • Divergence BUY/SELL • Summary Table BUY/SELL (5/8+) • Trend change (Bullish/Bearish) • EMA Golden Cross / Death Cross • ICT Bull/Bear FVG formation • ICT Bull/Bear MSS signal • Order Block touch (Bull/Bear) • Combined ANY BUY / ANY SELL signal HOW IT WORKS — TECHNICAL DETAILS 𝗦𝗨𝗣𝗣𝗢𝗥𝗧/𝗥𝗘𝗦𝗜𝗦𝗧𝗔𝗡𝗖𝗘 𝗔𝗟𝗚𝗢𝗥𝗜𝗧𝗛𝗠 • Pivot detection: 10-bar lookback for swing highs/lows • Historical scan: 284 bars for level identification • Channel width filter: 10% of price range • Strength requirement: Minimum 2 pivot touches at same level • Dynamic coloring: Support turns resistance when broken (and vice versa) 𝗢𝗥𝗗𝗘𝗥 𝗕𝗟𝗢𝗖𝗞 𝗗𝗘𝗧𝗘𝗖𝗧𝗜𝗢𝗡 • Swing-based identification using 10-bar lookback • ATR-filtered size validation (max 2x ATR) • Volume breakdown: Displays total volume + buy/sell percentage • Auto-invalidation when price breaks through OB • Breaker block conversion when OB fails • Overlap detection: Merges OBs within threshold 𝗜𝗖𝗧 𝗖𝗢𝗡𝗖𝗘𝗣𝗧𝗦 Fair Value Gap (FVG): • Bullish: Low > High with displacement candle • Bearish: High < Low with displacement candle • Minimum size: 30% of ATR(10) • Auto-mitigation tracking Market Structure Shift (MSS): • Bullish: Close breaks above previous swing high • Bearish: Close breaks below previous swing low • Visual labels for MSS and BOS events Order Blocks (ICT style): • Identifies last opposing candle before displacement • Tracks active vs. mitigated status 𝗟𝗜𝗤𝗨𝗜𝗗𝗔𝗧𝗜𝗢𝗡 𝗛𝗘𝗔𝗧𝗠𝗔𝗣 • Uses Open Interest data (automatically detects OI symbol) • Projects liquidation zones for 25x, 50x, 100x leverage • Heat coloring based on OI change intensity (statistical deviation) • Auto-scaling for higher timeframes (Daily/Weekly/Monthly) • Zones removed when price reaches them 𝗦𝗖𝗢𝗥𝗜𝗡𝗚 𝗦𝗬𝗦𝗧𝗘𝗠 Each criterion adds +1 to Long Score or Short Score: • MACD — Long: MACD > Signal | Short: MACD < Signal • RSI — Long: RSI > 50 | Short: RSI < 50 • Stochastic — Long: %K > %D | Short: %K < %D • Volume — Long: RelVol > 1.0 + bullish bar | Short: RelVol > 1.0 + bearish bar • Delta — Long: positive delta + up close | Short: negative delta + down close • Trend — Long: ATR Trend = 1 | Short: ATR Trend = -1 • ADX — Long: ADX > 25 and DI+ > DI- | Short: ADX > 25 and DI- > DI+ • CCI — Long: CCI > 0 | Short: CCI < 0 𝗗𝗜𝗩𝗘𝗥𝗚𝗘𝗡𝗖𝗘 𝗗𝗘𝗧𝗘𝗖𝗧𝗜𝗢𝗡 Scans 10 indicators for divergence: RSI, MACD, MACD Histogram, Momentum, CCI, OBV, Stochastic, DI Oscillator, VWMACD, CMF • Bullish divergence: Price makes lower low, indicator makes higher low • Bearish divergence: Price makes higher high, indicator makes lower high • Simple Mode: Requires both CCI and OBV confirmation HOW TO USE 𝗦𝗧𝗘𝗣 𝟭: 𝗘𝗡𝗔𝗕𝗟𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦 Open settings and enable only the modules you need in "⚡ Feature Controls": • Support/Resistance, Supply/Demand, Order Blocks, ICT Concepts • Liquidation Heatmap, Bollinger Bands, Auto Trend Lines • Auto Fibonacci, Price Tool, MTF Table, Summary Table 𝗦𝗧𝗘𝗣 𝟮: 𝗖𝗛𝗢𝗢𝗦𝗘 𝗟𝗔𝗡𝗚𝗨𝗔𝗚𝗘 Select your preferred language (English, Türkçe, or 中文) in "⚙ General Settings" 𝗦𝗧𝗘𝗣 𝟯: 𝗖𝗨𝗦𝗧𝗢𝗠𝗜𝗭𝗘 𝗖𝗢𝗟𝗢𝗥𝗦 Each module has dedicated color settings. Adjust transparency and visibility to match your chart style. 𝗦𝗧𝗘𝗣 𝟰: 𝗦𝗘𝗧 𝗔𝗟𝗘𝗥𝗧𝗦 Create alerts using any of the 16 pre-built conditions. Use "ANY BUY/SELL SIGNAL" for combined alerts. 𝗦𝗧𝗘𝗣 𝟱: 𝗨𝗦𝗘 𝗠𝗢𝗕𝗜𝗟𝗘 𝗠𝗢𝗗𝗘 Enable "📱 Mobile Mode" for optimized display on smaller screens—tables and labels automatically resize. SETTINGS OVERVIEW • 🌐 Language — English, Türkçe, or 中文 • ⚡ Feature Controls — Master toggles for all modules • Moving Averages — EMA lengths, cloud colors, crossover labels • Divergence — Simple mode, lines/labels visibility • Support/Resistance — Colors only (algorithm is optimized) • Supply/Demand — Zone colors, BOS label colors • Order Blocks — Bull/Bear colors, zone count • ICT Concepts — Individual toggles for FVG, MSS, OB, Liquidity • Auto Fibonacci — Price labels, extension levels • Price Tool — Entry/TP/Stop colors • Liquidation Heatmap — Resolution, heat colors, OI symbol • Tables — Size, position for Summary and MTF tables BEST PRACTICES ✓ Start with fewer modules enabled, add more as needed ✓ Use Summary Table score 6+/8 for higher-confidence trades ✓ Combine Order Blocks with ICT FVG for confluence ✓ Check MTF Table for trend alignment before trading ✓ Use Mobile Mode when trading on phone/tablet ✓ Set up alerts for hands-free monitoring ✗ Don't enable all features simultaneously—causes visual clutter ✗ Don't trade divergence signals alone—use with trend confirmation ✗ Don't rely solely on Liquidation Heatmap—it's an estimation tool LIMITATIONS • Liquidation Heatmap requires Open Interest data (works best on perpetual futures) • Some features are computationally intensive—disable unused modules for better performance • ICT Concepts work best on liquid markets with clear structure • Auto Fibonacci anchors to recent swing—may reset on new significant moves • Input labels remain in Turkish regardless of language selection (Pine Script limitation) ALERTS REFERENCE Divergence: • 🟢 Divergence BUY — Bullish divergence detected • 🔴 Divergence SELL — Bearish divergence detected Summary Table: • 📊 Summary BUY (5/8+) — Long score reaches 5 or higher • 📊 Summary SELL (5/8+) — Short score reaches 5 or higher Trend: • 🔄 Trend → Bullish — ATR trend turns positive • 🔄 Trend → Bearish — ATR trend turns negative EMA: • 📈 EMA Golden Cross — Fast EMA crosses above slow EMA • 📉 EMA Death Cross — Fast EMA crosses below slow EMA ICT: • 🎯 ICT Bull FVG — Bullish Fair Value Gap forms • 🎯 ICT Bear FVG — Bearish Fair Value Gap forms • ⚡ ICT Bull MSS — Bullish Market Structure Shift • ⚡ ICT Bear MSS — Bearish Market Structure Shift Order Blocks: • 🧱 Bull OB Touch — Price enters bullish Order Block • 🧱 Bear OB Touch — Price enters bearish Order Block Combined: • 🚀 ANY BUY SIGNAL — Any bullish condition triggers • 🔻 ANY SELL SIGNAL — Any bearish condition triggers DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trading signals. Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial advisor before making investment decisions. Use proper risk management and never trade with money you cannot afford to lose.
Wskaźnik Pine Script®
od kriptopusulasi
37
Relative Strength Index - RSI🎯 Overview This is an enhanced Relative Strength Index (RSI) indicator for TradingView that combines traditional RSI analysis with a moving average overlay to generate more reliable trading signals ⚡ 🧩 Core Components 1. ⚙️ Indicator Settings 2. 🎛️ Input Parameters A. 🎨 Color Settings: 5 different color themes: 🎨 Classic, 🚀 Modern, 💪 Robust, 🌈 Accented, ⚫⚪ Monochrome Each theme provides distinct bullish/bearish color pairs B. 📊 RSI Configuration: 📏 Length: Default 14 periods 📈 Source: Default close price (customizable) 📊 RSI MA Length: Default 365 periods 🔄 RSI MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA) C. 📢 Signal Display: ✅ Toggle for Bull/Bear crossover signals 📋 Table display showing current market bias 3. 🧮 Technical Calculations A. 📈 RSI Calculation: Standard RSI formula using ta.rsi() Configurable source and period length B. 📊 RSI Moving Average: Customizable MA type applied to the RSI values Serves as a dynamic signal line Default 365-period EMA smooths long-term trends C. 🔔 Signal Detection: 🟢 isBull_RSI: RSI > RSI_MA (bullish condition) 🔴 isBear_RSI: RSI < RSI_MA (bearish condition) 🟢 Bull: Crossover signal (RSI crosses above MA) 🔴 Bear: Crossunder signal (RSI crosses below MA) 4. 👁️ Visual Elements A. 📉 Main Plots: 📊 RSI Line: Thick line (width 3) colored conditionally based on position relative to its MA 📈 RSI MA Line: Yellow line showing the smoothed RSI 🎯 50-Level Line: Dashed white reference line B. 🎨 Fill Areas: 🟢 Overbought Zone : Filled between RSI and MA 🔴 Oversold Zone : Filled between RSI and MA Colors vary based on selected theme C. 🌈 Background Highlights: Subtle background coloring on bullish/bearish crossover signals D. 📋 Table Display: Shows "⬆️ Bullish" or "⬇️ Bearish" with appropriate coloring 5. 🔔 Alert System 🟢 LONG Alert: Triggers when RSI > RSI_MA 🔴 SHORT Alert: Triggers when RSI < RSI_MA Includes ticker symbol in alert message 🏁 Trading Logic 🎯 Primary Signals: 🟢 Bullish Setup: 📈 RSI crosses above its moving average 📊 RSI remains above MA (continuous bullish condition) 🎨 Visual: Green/theme bull colors, bullish fill areas 🔴 Bearish Setup: 📉 RSI crosses below its moving average 📊 RSI remains below MA (continuous bearish condition) 🎨 Visual: Red/theme bear colors, bearish fill areas ✨ Key Features: 📊 Trend Filter: The RSI MA (365-period) acts as a long-term trend filter ⚡ Momentum + Trend: Combines momentum (RSI) with trend (MA) for higher probability signals 👁️ Visual Clarity: Color-coded elements make market state immediately apparent 🛠️ Customizability: Multiple MA types and color schemes adapt to different trading styles 💻 Code Structure The script is well-organized with clear sections: 🔧 MA function definition ⚙️ Input settings 🧮 Calculations 🎨 Color definitions 📊 Plotting 📋 Table display 🔔 Alert conditions 🎯 Best Use Cases 📈 Trend Following: In trending markets, signals align with the overall direction 🔄 Mean Reversion: In ranging markets, oversold/overbought fills indicate potential reversals ⏰ Multi-Timeframe Analysis: Works well on daily/weekly charts for long-term positioning ✅ Signal Confirmation: Can be combined with other indicators for entry/exit confirmation 🏆 Unique Advantages 🎯 Reduced Whipsaws: Long MA period (365) filters out noise 👁️ Clear Visual Hierarchy: Multiple visual layers convey information efficiently 💼 Professional Presentation: Clean, organized display suitable for sharing 🛠️ Flexible Configuration: Adaptable to different assets and timeframes
Wskaźnik Pine Script®
od Tiagorocha1989
XAUMO ECON DS OSCXAUMO — ECON DS OSC (XAUUSD) DeltaProxy • Sweep/Reclaim • Sessions • MTF BlendNet • Dynamic Colors • BG Regimes • Alerts Execution TF: 15m | Bias TF: 1H | Script Session TZ: Europe/London EDUCATIONAL ONLY — Not financial advice — Not trade signals. ─────────────────────────────────────────── OVERVIEW ─────────────────────────────────────────── XAUMO — ECON DS OSC is a Demand/Supply pressure oscillator built for intraday execution on gold. It converts candle structure + relative volume behavior into three actionable lines (Demand, Supply, and a blended decision net), then adds “proof layers” (session normalization, sweep/reclaim validation, imbalance dominance filters, and MTF confluence) so you can separate real pressure from noise. This is NOT a “buy/sell arrow” script. It is a decision framework: PRESSURE → PROOF → TRIGGER → ENTRY → RISK (SL1/SL2) → TARGETS (TP1/TP2) ─────────────────────────────────────────── WHAT YOU SEE ON THE CHART (3 LINES) ─────────────────────────────────────────── 1) Demand (LTF) = buying pressure estimate 2) Supply (LTF) = selling pressure estimate 3) Net Blend (LTF+HTF) = decision line (institutional filter) Definitions: - LTF Net = Demand - Supply - HTF Net = (HTF Demand - HTF Supply) on your chosen bias timeframe - BlendNet = (1 - weight)*LTF Net + weight*HTF Net Trader meaning: - Demand above Supply = bullish pressure - Supply above Demand = bearish pressure - BlendNet = execution is 15m, bias is 1H (filter + confluence) ─────────────────────────────────────────── SCREENSHOT WALKTHROUGH (THE PROVIDED 15m/1H CHART) ─────────────────────────────────────────── On the attached chart: - HTF Demand is above HTF Supply → the 1H bias is bullish - LTF Demand stays above LTF Supply → local pressure supports the bias - Net Blend stays positive → LTF pressure is aligned with HTF context - “SW” markers show Sweep/Reclaim events → liquidity taken then reclaimed - Background regimes highlight cross / net shift / sweep / dominance states Use this to avoid one common mistake: Do not chase tops. Wait for proof (SW/IMB) and enter on structure, not emotion. ─────────────────────────────────────────── PROOF LAYERS (WHY THIS IS NOT “JUST AN OSCILLATOR”) ─────────────────────────────────────────── 1) Session Normalization (Europe/London) Raw volume differs by session (Asia vs London vs NY). When enabled, the script normalizes volume by session baselines so “high volume” means “high relative to this session,” not an absolute number. 2) DeltaProxy Pressure Model (wick-aware) For XAUUSD, wicks matter (stop-runs, liquidity grabs). DeltaProxy infers intent from body direction + wick bias, then adjusts by ATR/spread (clamped) to avoid fake extremes. Output is bounded for stability. 3) Sweep → Reclaim Validation (liquidity proof) A sweep is only meaningful if price reclaims (closes back inside). You can use: - Swing sweeps (structure) - VWAP/VA sweeps (mean/value behavior) - Gate sweeps (manual XAUMO levels) - Any (broad coverage) 4) Imbalance Dominance Filter (validated triggers) Imbalance logic confirms DOMINANCE using thresholds such as: - ratio (Demand/Supply) - dominance share - z-score of net pressure vs baseline Optional: require a sweep/reclaim proof before validating imbalance. 5) MTF BlendNet Confluence (15m execution filtered by 1H context) The HTF net is blended into the LTF net via a weight: Higher weight = safer/slower entries Lower weight = faster/more aggressive entries ─────────────────────────────────────────── BACKGROUND REGIMES + MARKERS (FAST VISUAL READ) ─────────────────────────────────────────── Each background layer can be toggled ON/OFF: BG #1 Cross (Demand/Supply) = early flips (fast, can whipsaw in chop) BG #2 Net Cross (BlendNet) = stronger shift with HTF influence BG #3 Sweep/Reclaim = liquidity-proof timing layer BG #4 Imbalance Regime = dominance regime (avoid fading while active) Markers: - SW = sweep/reclaim event (proof) - IMB D = bullish validated imbalance (dominance trigger) - IMB S = bearish validated imbalance (dominance trigger) ─────────────────────────────────────────── ALERTS (SCANNING + EXECUTION) ─────────────────────────────────────────── A) Individual alerts (alertcondition) Typical conditions: - Bull/Bear Demand–Supply cross - Bull/Bear Net Blend cross - Bull/Bear Sweep/Reclaim - Bull/Bear Validated Imbalance B) Master alert() (dynamic message, recommended) If you use dynamic values in the message, create alert using: Create Alert → Condition → “Any alert() function call” This is best for webhooks and execution bots. ─────────────────────────────────────────── PRACTICAL PLAYBOOK (HOW TRADERS USE IT) ─────────────────────────────────────────── Setup A — Continuation (intraday bread-and-butter) 1) 1H Bias clear: Bull: HTF Demand > HTF Supply Bear: HTF Supply > HTF Demand 2) BlendNet aligned and sloping (not flat) 3) Trigger: Best: IMB validated in bias direction Next: Net Cross in bias direction 4) Entry: Trigger candle close OR first pullback after trigger (preferred) 5) Risk: SL1 (mitigated) = beyond last 15m micro swing / reclaim reference SL2 (tailgate) = beyond deeper structure OR ~1.2–1.5 ATR(15m) 6) Targets: TP1 = first friction/reaction TP2 = only while BlendNet remains aligned (no fading/flattening) Setup B — Sweep → Reclaim Reversal (sniper) 1) SW prints (bull or bear) 2) Confirmation within 1–3 candles: Best: IMB validated in sweep direction OK: Cross after SW 3) Entry: Reclaim close OR clean retest of reclaim reference 4) Risk: SL1 = beyond swept level (reclaim ref) SL2 = beyond next major structure swing 5) Targets: TP1 = mean return / first friction TP2 = only if BlendNet flips and holds ─────────────────────────────────────────── RISK MODEL (SL1 + SL2) ─────────────────────────────────────────── SL1 (mitigated) = “trade idea is wrong quickly” (tight structural stop) SL2 (tailgate) = “survive spikes” (deeper structure / ATR emergency stop) TP1 = reduce risk and pay yourself TP2 = only if BlendNet stays aligned and not fading If you did not define SL1 and SL2 before entry, do not enter. ─────────────────────────────────────────── NOTES / LIMITATIONS ─────────────────────────────────────────── - This is an indicator, not a guarantee of performance. - Volume/wick inference depends on feed quality. - Session normalization may require tuning per broker/feed. - Close-confirmed logic reduces false triggers, but chop can still whipsaw. ─────────────────────────────────────────── DISCLAIMER ─────────────────────────────────────────── EDUCATIONAL ONLY — Not financial advice — Not trade signals. Trading involves substantial risk, including the risk of loss. You are responsible for your own decisions, risk management, and execution. ─────────────────────────────────── ─────────────────────────────────── ─────────────────────────────────── XAUMO — ECON DS OSC (XAUUSD) DeltaProxy • Sweep/Reclaim • Sessions • MTF BlendNet • Dynamic Colors • BG Regimes • Alerts إطار التنفيذ: 15 دقيقة | إطار الانحياز: 1 ساعة | توقيت الجلسات داخل السكربت: Europe/London للتعليم فقط — ليس نصيحة مالية — ليس إشارات تداول. ─────────────────────────────────────────── نظرة عامة ─────────────────────────────────────────── XAUMO — ECON DS OSC هو أوسيليتور ضغط طلب/عرض مصمم لتنفيذ تداولات الذهب داخل اليوم. يقوم بتحويل بنية الشمعة + سلوك الحجم النسبي إلى 3 خطوط عملية (الطلب، العرض، وصافي قرار ممزوج)، ثم يضيف “طبقات إثبات” (تطبيع الجلسات، تحقق Sweep/Reclaim، فلاتر سيادة عدم التوازن، وتوافق متعدد الأطر) حتى تميّز الضغط الحقيقي من الضوضاء. هذا ليس سكربت “أسهم شراء/بيع”. هذا إطار قرار واضح: ضغط → إثبات → زناد → دخول → مخاطرة (SL1/SL2) → أهداف (TP1/TP2) ─────────────────────────────────────────── ماذا ترى على الشارت (3 خطوط) ─────────────────────────────────────────── 1) الطلب (LTF) = تقدير ضغط الشراء 2) العرض (LTF) = تقدير ضغط البيع 3) صافي Blend (LTF+HTF) = خط القرار (فلتر “مؤسسي”) التعريفات: - صافي LTF = الطلب - العرض - صافي HTF = (طلب HTF - عرض HTF) على إطار الانحياز المختار - BlendNet = (1 - الوزن)*صافي LTF + الوزن*صافي HTF المعنى للمتداول: - الطلب فوق العرض = ضغط صاعد - العرض فوق الطلب = ضغط هابط - BlendNet = التنفيذ 15د، والانحياز 1س (فلتر + توافق) ─────────────────────────────────────────── شرح اللقطة (الشارت المرفق 15م/1س) ─────────────────────────────────────────── على الشارت المرفق: - طلب HTF أعلى من عرض HTF → الانحياز على 1س صاعد - طلب LTF يظل أعلى من عرض LTF → الضغط المحلي يدعم الانحياز - صافي Blend يظل موجب → ضغط 15د متوافق مع سياق 1س - علامات “SW” تُظهر أحداث Sweep/Reclaim → سيولة تُسحب ثم تُستعاد بالإغلاق - أنظمة الخلفية تُبرز حالات: تقاطع / تحوّل صافي / سويب / سيادة قاعدة عملية لتجنب خطأ شائع: لا تطارد القمم. استنَ الإثبات (SW/IMB) وادخل على بنية مؤكدة، لا على انفعال. ─────────────────────────────────────────── طبقات الإثبات (لماذا هذا ليس “أوسيليتور عادي”) ─────────────────────────────────────────── 1) تطبيع الجلسات (Europe/London) الحجم الخام يختلف بين الجلسات (آسيا/لندن/نيويورك). عند تفعيل التطبيع يقوم السكربت بتطبيع الحجم بخطوط أساس لكل جلسة، فيصبح “حجم مرتفع” = مرتفع مقارنة بهذه الجلسة، وليس رقمًا مطلقًا. 2) نموذج الضغط DeltaProxy (ذكي مع الذيول) في الذهب، الذيول مهمة (Stop-runs وسحب سيولة). DeltaProxy يستنتج النية من اتجاه الجسم + انحياز الذيول، ثم يضبط بعامل ATR/Spread (ضمن حدود) لتجنب التطرفات الوهمية. الناتج محدود لاستقرار أفضل. 3) تحقق Sweep → Reclaim (إثبات السيولة) السويب لا يهم إلا إذا حدث Reclaim (إغلاق داخل النطاق مرة أخرى). يمكنك اختيار: - Swing sweeps (بنية/سوينجات) - VWAP/VA sweeps (قيمة/متوسط) - Gate sweeps (مستويات XAUMO اليدوية) - Any (تغطية واسعة) 4) فلتر سيادة عدم التوازن (Triggers مُتحققة) منطق عدم التوازن يؤكد “السيادة” باستخدام عتبات مثل: - Ratio (الطلب/العرض) - Dominance Share (حصة السيطرة) - Z-Score لصافي الضغط مقابل خط الأساس اختياري: اشتراط وجود Sweep/Reclaim قبل اعتماد عدم التوازن. 5) توافق متعدد الأطر عبر BlendNet (تنفيذ 15د مفلتر بسياق 1س) يتم مزج صافي HTF داخل صافي LTF عبر وزن: وزن أعلى = دخول أأمن/أبطأ وزن أقل = دخول أسرع/أكثر عدوانية ─────────────────────────────────────────── أنظمة الخلفية + العلامات (قراءة بصرية سريعة) ─────────────────────────────────────────── يمكن تفعيل/تعطيل كل طبقة خلفية: BG #1 تقاطع الطلب/العرض = قلب مبكر (سريع وقد يضرب في التذبذب) BG #2 تقاطع الصافي BlendNet = تحوّل أقوى بتأثير HTF BG #3 Sweep/Reclaim = طبقة توقيت بإثبات سيولة BG #4 نظام عدم التوازن = سيادة (تجنب معاكسة الطرف المسيطر) العلامات: - SW = حدث Sweep/Reclaim (إثبات) - IMB D = عدم توازن صاعد مُتحقق (زناد سيادة) - IMB S = عدم توازن هابط مُتحقق (زناد سيادة) ─────────────────────────────────────────── التنبيهات (Scanning + Execution) ─────────────────────────────────────────── A) تنبيهات فردية (alertcondition) أمثلة شائعة: - تقاطع صاعد/هابط بين الطلب والعرض - تقاطع صاعد/هابط لصافي BlendNet - Sweep/Reclaim صاعد/هابط - عدم توازن مُتحقق صاعد/هابط B) تنبيه رئيسي عبر alert() (رسالة ديناميكية — مُفضل) إذا كانت رسالتك تحتوي قيَم ديناميكية، أنشئ التنبيه باستخدام: Create Alert → Condition → “Any alert() function call” وهذا أفضل للـwebhooks وبوتات التنفيذ. ─────────────────────────────────────────── دليل عملي (كيف يستخدمه المتداولون) ─────────────────────────────────────────── Setup A — استمرار مع الانحياز (شغل اليوم) 1) انحياز 1س واضح: صاعد: طلب HTF > عرض HTF هابط: عرض HTF > طلب HTF 2) BlendNet متوافق ومائل (غير مسطح) 3) الزناد: الأفضل: IMB مُتحقق في اتجاه الانحياز التالي: تقاطع صافي في اتجاه الانحياز 4) الدخول: إغلاق شمعة الزناد أو أول Pullback بعدها (مُفضل) 5) المخاطرة: SL1 (مخفف) = وراء آخر Micro Swing على 15د / مرجع الـReclaim SL2 (Tailgate) = وراء بنية أعمق أو ~1.2–1.5 ATR(15m) 6) الأهداف: TP1 = أول احتكاك/رد فعل TP2 = فقط طالما BlendNet متوافق (لا بهتان/لا تسطح) Setup B — سويب ثم استرجاع (قنّاص انعكاس) 1) ظهور SW (صاعد أو هابط) 2) تأكيد خلال 1–3 شمعات: الأفضل: IMB مُتحقق في اتجاه السويب مقبول: تقاطع بعد SW 3) الدخول: إغلاق الـReclaim أو إعادة اختبار نظيفة لمرجع الـReclaim 4) المخاطرة: SL1 = وراء المستوى المسحوب (مرجع الـReclaim) SL2 = وراء سوينج بنيوي أكبر 5) الأهداف: TP1 = رجوع للمتوسط / أول احتكاك TP2 = فقط إذا BlendNet انقلب وثبت ─────────────────────────────────────────── نموذج المخاطرة (SL1 + SL2) ─────────────────────────────────────────── SL1 (مخفف) = “فكرة الصفقة غلط بسرعة” (ستوب بنيوي قريب) SL2 (Tailgate) = “تحمّل السبايكس” (بنية أعمق / ستوب طوارئ ATR) TP1 = خفف المخاطرة وادفع نفسك TP2 = فقط إذا BlendNet يظل متوافقًا ولا يبهت لو لم تحدد SL1 وSL2 قبل الدخول، لا تدخل. ─────────────────────────────────────────── ملاحظات / حدود الاستخدام ─────────────────────────────────────────── - هذا مؤشر، وليس ضمانًا لأي نتائج. - استنتاج الحجم/الذيول يعتمد على جودة الـFeed. - تطبيع الجلسات قد يحتاج ضبط حسب الوسيط/البيانات. - منطق الإغلاق المؤكد يقلل الإشارات الكاذبة، لكن التذبذب قد يسبب Whipsaws. ─────────────────────────────────────────── إخلاء مسؤولية ─────────────────────────────────────────── للتعليم فقط — ليس نصيحة مالية — ليس إشارات تداول. التداول ينطوي على مخاطر كبيرة بما فيها خسارة رأس المال. أنت مسؤول عن قراراتك وإدارة المخاطر والتنفيذ.
Wskaźnik Pine Script®
od ICHIMOKUontheNILE
Super Scalper[XAUUSD]// © SuperScalper //@version=5 indicator('Super Scalper ', overlay=true, max_labels_count=500) show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.') rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).') tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.') tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical') candle_stability_index_param = 0.7 rsi_index_param = 80 candle_delta_length_param = 10 disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.') GREEN = color.rgb(29, 255, 40) RED = color.rgb(255, 0, 0) TRANSPARENT = color.rgb(0, 0, 0, 100) //indicator("Author Info Display" // Create table var table infoTable = table.new(position.top_right, 2, 6, bgcolor=color.new(#000000, 1), border_width=1) if barstate.islast table.cell(infoTable, 0, 0, "Author:", text_color=color.white, text_size=size.small) table.cell(infoTable, 1, 0, "Klasscco", text_color=color.rgb(255, 251, 0), text_size=size.large) table.cell(infoTable, 0, 1, "Etsy:", text_color=color.white, text_size=size.small) table.cell(infoTable, 1, 1, "https://www.etsy.com/shop/KlasscCo", text_color=color.rgb(255, 251, 0), text_size=size.small) table.cell(infoTable, 0, 3, "Website:", text_color=color.white, text_size=size.small) table.cell(infoTable, 1, 3, "etsy.com/shop/KlasscCo", text_color=color.rgb(255, 251, 0), text_size=size.small) label_size = input.string('normal', 'Label Size', options= , group='Cosmetic') label_style = input.string('text bubble', 'Label Style', , group='Cosmetic') buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic') sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic') label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic') stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param rsi = ta.rsi(close, 14) atr = ta.atr(14) bullish_engulfing = close < open and close > open and close > open rsi_below = rsi < rsi_index_param decrease_over = close < close var last_signal = '' var tp = 0. var sl = 0. bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true) bearish_engulfing = close > open and close < open and close < open rsi_above = rsi > 100 - rsi_index_param increase_over = close > close bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true) round_up(number, decimals) => factor = math.pow(10, decimals) math.ceil(number * factor) / factor if bull last_signal := 'buy' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close + tp_dist, tp_sl_prec) sl := round_up(close - dist, tp_sl_prec) if label_style == 'text bubble' label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + '\nSL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color) if bear last_signal := 'sell' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close - tp_dist, tp_sl_prec) sl := round_up(close + dist, tp_sl_prec) if label_style == 'text bubble' label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + '\nSL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color) alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!') alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY') alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Wskaźnik Pine Script®
od twyla55103
Order Blocks Volume Delta 3D | Flux ChartsGENERAL OVERVIEW: Order Blocks Volume Delta 3D by Flux Charts is a rule-based order block and volume delta visualization tool. It detects bullish and bearish order blocks using a profile-of-price approach: the indicator finds the most actively traded price area (Point of Control, or POC) between a swing high/low and the Break of Structure (BOS), then anchors the order block to the earliest still-valid candle that traded through that POC band. From there, it tracks all candles that continue to interact with that zone and overlays both 2D and 3D volume delta views directly inside the order block. Unlike traditional order block tools that simply use candle bodies or wicks, this indicator is volume-aware. It lets you optionally pull volume from a lower timeframe feed (for example, using 1-minute data while watching a 5-minute chart) to build a much more accurate picture of how buyers and sellers actually traded inside the zone. This makes every block not just a price box, but a volume story: which side dominated, where, and by how much. All order blocks printed by this indicator are confirmed: BOS and retests are evaluated strictly on closed candles. Nothing is drawn or alerted on partially formed bars, which helps avoid repaint-style flicker and keeps the signals clean and stable. What is the theory behind the indicator?: The core idea behind Order Blocks Volume Delta 3D is that not all price levels inside an order block are equal. Some prices are barely touched, while others act like magnets where candles repeatedly trade and heavy volume passes through. The indicator first finds a swing high or swing low, waits for a clear Break of Structure (BOS), then scans the candles between the swing point and the BOS to find the price level that was touched the most. That level is treated as the POC. From all candles in the swing-to-BOS range that interact with this POC band, the indicator looks for the earliest candle that is not already mitigated and uses that as the anchor candle for the order block: The top of the block equals the anchor candle’s high (for a bearish OB) or the top of its wick zone. The bottom equals the anchor candle’s low (for a bullish OB) or the bottom of its wick zone. This “earliest valid POC-touching candle” rule makes it easier to visualize how price and volume developed from the very start of a meaningful zone, while ignoring POC touches that are already fully mitigated by the time the structure is confirmed. On top of that, each candle is split into bullish and bearish volume. If you choose a lower timeframe volume input, the tool aggregates lower timeframe candles into your chart timeframe, giving a more granular bull-versus-bear breakdown for each bar. The result is an order block that not only shows where price moved but also which side pushed it, how aggressively, and how that balance shifted over time. ORDER BLOCKS VOLUME DELTA 3D FEATURES: The Order Blocks Volume Delta 3D indicator includes 4 main features: 1. Order Blocks 2. Volume Delta 3. 3D Visualization 4. Alerts ORDER BLOCKS: 🔹What is an Order Block An order block is a price zone where a clear displacement move began after liquidity was taken. It usually forms around the last consolidation or cluster of candles before price breaks structure with a strong move. In this indicator, order blocks are defined as structured zones that: Begin at the earliest unmitigated candle that interacted with the most-touched price level (POC) between swing and BOS. Extend through the full wick range of that anchor candle. Stretch forward in time, tracking how price continues to trade through, respect, retest, or invalidate the zone. Are only printed once the BOS is fully confirmed on closed candles (confirmed order blocks only). Example of bullish and bearish order blocks anchored at the earliest unmitigated candle in the POC zone: 🔹How are Order Blocks detected The indicator uses a step-by-step, rules-based process to detect bullish and bearish order blocks. The logic is designed to match discretionary Smart Money concepts but with strict, repeatable rules. Step 1: Detect swing highs and swing lows Swing High: a candle whose high is higher than the highs of surrounding candles. Swing Low: a candle whose low is lower than the lows of surrounding candles. The Swing Length input controls how many candles are checked to the left and right. Example of swing high and swing low detection: Step 2: Confirm Break of Structure (BOS) Once a swing is confirmed, the indicator waits for price to break past that swing: Bullish BOS: price closes above a previous swing high. Bearish BOS: price closes below a previous swing low. To avoid “live” flicker, BOS logic is evaluated based on the previous closed candle. The order block is only confirmed once the BOS candle has fully closed and the next bar has opened. This is one of the reasons the script only shows confirmed, non-repainting order blocks. Example of bullish BOS and bearish BOS: Step 3: Build the POC range between swing and BOS Between the swing candle and the BOS candle, the indicator: Scans all candles in that range. Tracks every price level touched using binning (POC bins). Counts how many times each price band was touched by candle wicks. The bin with the highest touch count becomes the POC band. This is where price traded most often, not necessarily where volume was highest. Example of the POC band between swing and BOS. Step 4 – Anchor the order block to the earliest valid POC candle From all candles in the swing-to-BOS range, the indicator finds the earliest candle whose high/low overlaps the POC band and whose zone is not already mitigated. That candle becomes the anchor candle for the order block: For a bearish OB, the block spans the anchor candle’s full wick range, with its top at the high. For a bullish OB, the block spans the anchor candle’s full wick range, with its bottom at the low. By requiring the anchor to be the earliest unmitigated interaction with POC, the script avoids building blocks from price action that has already been fully traded through and is less relevant. Step 5: Extend and manage the order block Once created, the block: Extends to the right by a configurable number of candles (Extend Zones). Continues until it is invalidated by wick or close, depending on the chosen method. Can show retest labels when price revisits the zone after creation. Is included or excluded from display depending on the Show Nearest and Hide Invalidated Zones settings. Example of active and invalidated OB. 🔹Order Block Settings ◇ Swing Length Swing Length controls how sensitive swing highs and lows are. Lower Swing Length: Swings form more frequently, which leads to more frequent BOS events and order block formations. Higher Swing Length: Only larger, more meaningful swings are detected, which leads to less frequent BOS events and less order block formations. ◇ Invalidation Invalidation determines how an order block is considered “mitigated” or no longer valid. Wick: For bullish OBs, if price wicks completely through the bottom of the zone, the order block is invalidated. For bearish OBs, if price wicks completely through the top, the order block is invalidated. Close: For bullish OBs, the block is invalidated only when a candle closes below the bottom. For bearish OBs, it is invalidated only when a candle closes above the top. Example of wick invalidation: Example of close invalidation: ◇ Show Nearest Show Nearest limits how many active order blocks are displayed based on proximity to current price. For example, a value of 2 will display only the two nearest bullish order blocks and two nearest bearish order blocks. Chart with Show Nearest set to 3: ◇ Extend Zones Extend Zones define how many candles forward each order block should project beyond the right most candle on the chart. Chart with Extend Zones set to 10: ◇ Retest Labels When enabled, the indicator prints labels on every clean retest of an active order block, as long as that block remains valid. Key points: A retest label is only printed once the retest candle has fully closed – you always see confirmed retests, not intrabar tests. Retest labels are positioned on the actual retest candle so you can visually see which bar interacted with the zone. In addition, if multiple retests occur in quick succession, the indicator applies a built-in three-candle buffer between retests. That means only the first valid retest within each three-bar window is labeled (and can trigger an alert), helping to reduce clutter while still highlighting meaningful interactions with the zone. Example of retest labels on bullish and bearish order blocks. ◇ Hide Invalidated Zones Hide Invalidated Zones controls whether mitigated/invalidated blocks stay drawn. Enabled: Only currently valid, unmitigated order blocks are shown (subject to Show Nearest) Disabled: Both active and invalidated order blocks are displayed. VOLUME DELTA: 🔹What is Volume Delta Volume delta measures the difference between buying and selling volume. Instead of only showing “how much volume traded”, it separates volume into bullish and bearish components. In this indicator: Bullish volume = volume from candles (or lower timeframe candles) that closed higher. Bearish volume = volume from candles that closed lower. Delta % shows how dominant one side was compared to the total. Example of bullish and bearish order blocks with volume delta and total volume. 🔹How is Volume Delta calculated? The indicator uses a flexible, timeframe-aware volume engine. 1. Choose a Volume Delta Timeframe. If the selected timeframe is equal to or higher than the chart timeframe, the indicator simply uses chart-volume per candle. If the selected timeframe is lower than the chart timeframe (for example, 1‑minute volume on a 5‑minute chart), the indicator pulls all lower timeframe candles for each chart bar and sums them. 2. Split each bar into bull and bear volume. For each contributing candle: If close > open → its volume is added to bullish volume. If close < open → its volume is added to bearish volume. If close == open → its volume is split evenly between bullish and bearish. 3. Aggregate for each order block. For each order block: The indicator loops once from the swing candle to the BOS candle. It records every candle that touches the POC band. For each touching candle, it adds its bull and bear volumes (either directly from chart candles or from aggregated lower timeframe candles). Total volume = bullish volume + bearish volume Delta % = (bullish volume or bearish volume / total volume ) * 100, depending on which side is dominant. 🔹Volume Delta Settings: ◇ Display Style Display Style controls how the volume delta is drawn inside each order block: Horizontal: Bullish and bearish fills extend horizontally from left to right. The filled strip sits along the base of the block, with a bull vs bear gradient. Vertical: Bullish and bearish fills stretch vertically inside the zone. The bullish percentage controls how much of the block is filled with the “dominant” color. Example of Horizontal display style. Example of Vertical display style. ◇ Volume Delta Timeframe Volume Delta Timeframe tells the indicator whether to use chart volume or lower timeframe volume. When set to a lower timeframe, the indicator aggregates all lower timeframe candles that fall inside each chart bar, splitting their volume into bullish and bearish components before summing. Using a lower timeframe: Increases precision for how volume truly behaved inside each bar. Helps reveal hidden absorption and aggressive flows that a higher timeframe candle might hide. Example of volume delta based on chart timeframe. Example of volume delta based on lower timeframe than chart(same OB as above) ◇ Display Total Volume When enabled, the indicator prints the total volume for each order block as a label positioned inside the zone, near the bottom-right corner. This total is the sum of bullish and bearish volume used in the delta calculation and gives you a quick sense of how “heavy” the trading was in that block compared to others. Example of total volume label inside multiple order blocks. ◇ Show Delta % Show Delta % draws a small text label on the strip of the block that displays the dominant side’s percentage. For example, a bullish block might show “72%” if 72% of all volume inside that POC band came from bullish volume. Example of Delta %: 3D VISUALIZATION: The 3D Visualization feature turns each order block into a 3D plot. 🔹What the 3D Visualization does: Wraps the order block with side faces and a top face to create a 3D bar effect. Uses delta percentages to tilt the top face toward the dominant side. Projects blocks into the future using Extend Zones, making the 3D blocks visually stand out. 🔹How it works: The front face of the OB shows the standard 2D zone. The side face extends forward in time based on the 3D depth setting. The top face is angled depending on the Display Style and bull vs bear delta, making strong bullish blocks “rise” and strong bearish blocks “sink”. 🔹How the 3D depth setting affects visuals Lower 3D depth: Shorter side faces. Subtle 3D effect. Higher 3D depth: Longer side faces projecting further into the future. Stronger 3D effect that visually highlights key zones. Example of lower 3D depth: Example of higher 3D depth: ALERTS: The indicator supports alert conditions through TradingView’s AnyAlert() engine, allowing you to set alerts for the following: New Bullish Order Block formed New Bearish Order Block formed Bullish OB Retest Bearish OB Retest Important alert behavior: Order block alerts only fire when a new block is confirmed (after BOS closes and the next bar opens). Retest alerts only fire when a retest candle has completely finished, matching the behavior of the visual retest labels. IMPORTANT NOTES: 3D faces for order blocks are built using polylines. In some situations, especially when an order block’s starting point (its left edge) is beyond the chart’s left-most visible bar, the top 3D face may appear slightly irregular, skewed, or incomplete. This is purely a drawing limitation related to how the chart engine handles off-screen polyline points. Once the starting point of that order block comes into view (by zooming out or scrolling back), the 3D top face corrects itself and the visual becomes fully consistent. This issue affects only the 3D top face drawing, not the actual order-block box itself. The underlying zone, prices, and volume calculations remain accurate at all times. If all conditions are met to create a new order block but the resulting zone would overlap an existing active order block, the new block is intentionally not created. A built-in guard prevents overlapping active zones to keep the structure clean and easier to interpret. 3D face drawing is implemented using an adaptive polyline method, which can be relatively calculation-heavy on certain symbols, timeframes, or chart histories. In some cases this may lead to calculation timeout error from TradingView. UNIQUENESS: This indicator is unique because it: Anchors each order block to the earliest unmitigated candle that traded through the most-touched POC band between swing and BOS, rather than a generic “last up/down candle” or a random volume spike. Builds a dedicated volume engine that can pull either chart timeframe volume or aggregated lower timeframe volume, then splits it into bull and bear components. Adds 3D visualization on top of standard zones, turning each OB into a visually weighted slab rather than a flat rectangle. Provides clean toggles (Show Nearest, Hide Invalidated Zones, Extend Zones, Display Style, Delta %, and total volume labels) so you can dial the indicator from extremely minimal to fully detailed, depending on your trading workflow. Combined, these features make the indicator not just an order block plotter, but a complete volume‑informed structure tool tailored for traders who want to see where price actually traded and whether bulls or bears truly controlled the move inside each order block.
Wskaźnik Pine Script®
od fluxchart
13
FVG - MTF Confirmed Tracker [JP/EN]Indicator Description: FVG MTF Concluded Bar Tracker This indicator is a highly functional tool that identifies FVG for the currently displayed bar or a higher-level bar (MTF) and determines its "resolution" when the candlestick is resolved. Its most notable feature is that it only displays history (gray) on the chart and sends an alert when a "significant level that has been continuously observed for a certain period of time" is resolved. 1. Timeframe Settings Base Timeframe: Select the timeframe on which to detect FVG. Select "Same as chart" to use the current bar, or select another bar (1-hour, 4-hour, etc.) to project the FVG of the higher-level bar onto the current chart. 2. Active FVG Settings Sets the currently active support/resistance area that has not yet been filled by price. Show Bull/Bear: Individually toggles whether to display bull (buy) and bear (sell) FVG. Color: Specifies the color of the box for the unresolved state. Extend Right (Active): When enabled, the box will continue to extend indefinitely toward the right edge of the chart until the FVG is resolved. Max Active FVG: This sets the maximum number of unresolved boxes to display on the chart. When a new FVG is detected, the oldest unresolved box will be automatically deleted if it exceeds this limit, saving resources. 3. Filled FVG Settings (Resolved, Grayed Out, Determination Logic) These are very important settings for displaying history when the price fills an FVG. Show Filled: Select whether to leave resolved FVGs grayed out (default color) as "history." Color: Specifies the color of boxes that have been resolved (Filled). Extend Right (Filled): When this is turned off, the box extension will stop at the candlestick where the resolution is confirmed, making the resolution point clear. Max Filled FVG: This sets the maximum number of grayed out boxes to display as history. When the limit is reached, the oldest history will be deleted. Min Bars to Keep & Alert (Important): This is the threshold for the number of bars elapsed between the occurrence of an FVG and its resolution. If the threshold is not met: The event is considered a temporary reaction, and no alert will be sounded. The event will also be deleted without being recorded in the history (gray). If the threshold is met or exceeded: The event is considered a significant market event, and the box will turn gray and an alert will be sent. 4. Alert Settings (Alert Notification Logic) Alerts are executed in perfect sync with the "resolution of significant levels (graying out)." Alert when Bull / Bear turns Gray: A notification will be sent the moment a bullish or bearish FVG is resolved after meeting the threshold and turning gray. Execution Timing: A notification will only be sent when the candlestick is confirmed. It will not be triggered if the candlestick is only momentarily touched by the wick midway through the candlestick. This allows you to know for sure that the event was resolved at the time of closing. インジケーター解説：FVG MTF 確定足トラッカー このインジケーターは、現在表示している足、または上位足（MTF）のFVGを特定し、その「解消」をローソク足の確定時に判定する高機能ツールです。 最大の特徴は、**「一定期間意識され続けた重要な水準」**が解消された時のみ、チャートに履歴（グレー）を残し、アラートを通知する設計にあります。 1. Timeframe Settings（時間足設定） Base Timeframe / 基準にする時間足: FVGを検知する時間足を選択します。「Same as chart（チャートと同じ）」を選べば現在の足、それ以外（1時間足、4時間足など）を選べば上位足のFVGを現在のチャートに投影します。 2. Active FVG Settings（未解消時の設定ロジック） まだ価格に埋められていない、現在有効なサポート・レジスタンス領域の設定です。 Show Bull / Bear: ブル（買い）およびベア（売り）のFVGを表示するかどうかを個別に切り替えます。 Color: 未解消状態のボックスの色を指定します。 Extend Right (Active): 有効にすると、FVGが解消されるまでボックスをチャートの右端に向かって無制限に延長し続けます。 Max Active FVG: チャート上に表示する未解消ボックスの最大数です。新しいFVGが検知された際、この上限を超えていると最も古い未解消ボックスが自動的に削除され、リソースを節約します。 3. Filled FVG Settings（解消済み・グレー化・判定本数ロジック） 価格がFVGを埋めた際の、履歴表示に関する非常に重要な設定項目です。 Show Filled: 解消されたFVGを「履歴」としてグレー表示（デフォルト色）で残すかどうかを選択します。 Color: 解消済み（Filled）状態になったボックスの色を指定します。 Extend Right (Filled): これをOFFにすると、解消が確定したローソク足の位置でボックスの延長が止まり、解消地点が明確になります。 Max Filled FVG: 履歴として残すグレーボックスの最大数です。上限に達すると、古い履歴から順に削除されます。 Min Bars to Keep & Alert (重要): FVGが発生してから解消されるまでの「経過本数」の閾値です。 判定本数に満たない場合: 一時的な反応とみなし、アラートを鳴らさず、履歴（グレー）にも残さず削除します。 判定本数以上の場合: 市場で十分に意識された「重要な水準」とみなし、ボックスをグレーに変更し、アラートを通知します。 4. Alert Settings（アラート通知ロジック） アラートは「重要水準の解消（グレー化）」と完全に同期して実行されます。 Alert when Bull / Bear turns Grey: ブル/ベアそれぞれのFVGが、上記の「判定本数」を満たした状態で解消され、グレーに変化した瞬間に通知を送ります。 実行タイミング: ローソク足の確定時にのみ通知されます。足の途中のヒゲで一時的に触れただけでは鳴りません。これにより、クローズ時点で確実に解消されたことのみを把握できます。
Wskaźnik Pine Script®
od hmp5below
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator Introduction and Theoretical Background Design Rationale Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime. Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility. The Solution Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring. How It Works This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals: Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals. Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking. Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion. Why Use It? Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time. ◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow). ◦ Magenta/Pink Flow: Strong Bearish Trend. ◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop. Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend. ⚖️ Chapter 1: System Architecture Introduction: Composite Analytical Framework System Overview Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior. Operational Objective The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence. Market Microstructure Analysis: Limitations of Conventional Models Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies: • Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance. • Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events. • Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution. Core Design Principles To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles: Principle A: Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility. Principle B: Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon. • Concept: This visualization represents the aggregate strength and consistency of the trend. • Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness. Principle C: Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors: 1. Volatility: Confirmed expansion via the Impulse Core. 2. Momentum: Directional alignment via the Hybrid Oscillator. 3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts. 🔍 Chapter 2: Core Modules & Algorithmic Logic Module A: Impulse Core (Normalized Volatility Deviation) Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states. Volatility Z-Score Normalization The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread. ◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion. ◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance. ◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration. f_impulse() => atr_f = ta.atr(fastLen) // Fast Volatility Baseline atr_s = ta.atr(slowLen) // Slow Volatility Baseline std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation (atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation Algorithmic Framework • Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30). • Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback. • Signal Generation: ◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase. ◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move. Module B: Gradient Oscillator (RSI-SMA Hybrid) Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence. Technical Architecture • Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally. • State Analysis: Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals. • Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions. // Laminar Flow Validation f_validate_trend() => // Calculate spread between Ribbon layers ribbon_spread = ta.stdev(ribbon_array, 15) // Only allow signals if Ribbon is expanded (Laminar Flow) is_flowing = ribbon_spread > min_expansion_threshold // If compressed (Knotted), force signal to false is_flowing ? signal : na Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation) This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends. Dynamic Threshold Adjustment • Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles. • Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic. • Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion. Anti-Greed Logic: Dynamic Threshold Calculation f_adjust_threshold(base_slope, win_streak) => // Adds a 10% penalty to the difficulty for every consecutive win penalty_factor = 0.10 risk_scaler = 1 + (win_streak * penalty_factor) // Returns the new, harder-to-reach threshold base_slope * risk_scaler Module D: Trend Baseline (Triple-Smoothed Structure) The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration. Smoothing Stages 1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action. 2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data. 3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve. Functionality This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline 🚦 Chapter 3: Risk Management & Exit Protocols Quantitative Risk Management (TP/SL & Trailing) Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime. • ATR-Based Dynamic Bracketing: The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR). ◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise. ◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry. • Close-Validation Protocol ("Soft Stop"): Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory. ◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold. ◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility. • Step-Function Trailing Mechanism: To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed: ◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold. ◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL. • Algorithmic Exit Protocols (Dynamic Liquidity Analysis) ◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates. ◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust. Multi-Factor Exit Logic (The Tri-Vector System) The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met: • 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown. • 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation. • 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals. 🎨 Chapter 4: Visualization Guide Gradient Oscillator Ribbon The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market. • Visuals: ◦ Cyan/Blue Ribbon: Indicates Bullish Momentum. ◦ Pink/Magenta Ribbon: Indicates Bearish Momentum. • Interpretation: ◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following. ◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity. ◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating. Trend Baseline The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market. • Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish). • Interpretation: Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it. Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends. Entry Signals & Labels Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence. • Visuals: Labeled signals appear above/below specific candles. • Interpretation: These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized. Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital. Dynamic TP/SL Boxes The semi-transparent colored zones drawn via fill() represent the risk management geometry. • Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels. • Function: Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios). SAR + MACD Glow Small glowing shapes appearing above or below candles. • Visuals: Triangle or circle glows near the price bars. • Interpretation: This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup. Support/Resistance Table A small table located at the bottom-right of the chart. • Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support). • Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments. 🖥️ Chapter 5: Dashboard & Operational Guide Integrated Analytics Panel (Dashboard Overview) To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors. A. Intermediate Structure (12H Trend) • Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window. • Interpretation: ◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow. ◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored. ◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor. B. Composite Confluence Score (Signal Confidence) • Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline). • Grading Scale: Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing. Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation. Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone"). C. Statistical Deviation Status (Mean Reversion) • Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA). • Alert States: Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone. Normal: Price is within standard distribution limits, suitable for trend-following entries. D. Volatility Regime Classification • Metric: Compares current ATR against a 100-period historical baseline to categorize the market state. • Regimes: Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events. Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment. High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance. E. Performance Telemetry • Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe. • Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended. Operational Protocols & Signal Decoding Visual Interpretation Standards • Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes. • Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector. • Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure. System Calibration (Settings) • Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias. • Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise. ⚙️ Chapter 6: System Configuration & Alert Guide This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs. 🌐 LANGUAGE SETTINGS (Localization) ◦ Select Language (Default: English): Function: Instantly translates all chart labels, dashboard texts into your preferred language. Supported: English, Korean, Chinese, Spanish ⚡ IMPULSE CORE SETTINGS (Volatility Engine) ◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility. Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react. ◦ Fast Pulse Length (Default: 10): The short-term ATR period. Role: Detects rapid volatility expansion. ◦ Slow Pulse Length (Default: 30): The long-term ATR baseline. Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses. 🎯 TP/SL SETTINGS (Risk Management) ◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation. ◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands. Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs. ◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry. ◦ Use Soft Stop (Close Basis): Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations. 🔊 RIBBON SETTINGS (Momentum Visualization) ◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon. ◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array. ◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon. Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes. 📎 DISPLAY OPTIONS ◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter. ◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles. 📈 TREND BASELINE (Structural Filter) ◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation. ◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline. ◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid. 🧠 SMART EXIT (Dynamic Liquidity) ◦ Use Smart Exit: Enables the momentum exhaustion logic. ◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits. ◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates. 🛡️ TRAILING STOP (Step) ◦ Use Trailing Stop: Activates the step-function trailing mechanism. ◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price. ◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position. 🌀 SAR & MACD SETTINGS (Secondary Confirmation) ◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters. ◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score. ◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals. 🔄 ANTI-GREED LOGIC (Behavioral Bias) ◦ Strict Entry after Win: Enables the negative feedback loop. ◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win. Role: Prevents overtrading and entering at the top of an extended trend. 🌍 HTF FILTER (Multi-Timeframe) ◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals. ◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals). 📉 RSI PEAK & CHOPPINESS ◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected. ◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market. 📐 SLOPE TRIGGER LOGIC ◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity). ◦ Slope Sensitivity (1.5): The angle required to trigger this override. ⛔ FLAT MARKET FILTER (ADX & ATR) ◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend. ◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market). 🔔 Alert Configuration Guide Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events. How to Set Up: Click the "Alert" (Clock) icon in the TradingView toolbar. Select "Impulse Reactor " from the Condition dropdown. Choose one of the specific trigger conditions below: 🚀 Entry Signals (Trend Initiation) Long Entry: Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align). Usage: Use this to enter new Long positions. Short Entry: Trigger: Fires when a confirmed Bearish Setup is detected. Usage: Use this to enter new Short positions. 🎯 Profit Taking (Target Levels) Long TP: Trigger: Fires when price hits the calculated Take Profit level for a Long trade. Usage: Automate partial or full profit taking. Short TP: Trigger: Fires when price hits the calculated Take Profit level for a Short trade. Usage: Automate partial or full profit taking. 🛡️ Defensive Exits (Risk Management) Smart Exit: Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed). Usage: Recommended for tightening stops or closing positions early to preserve gains. Overbought / Oversold: Trigger: Fires when the ribbon extends into extreme zones. Usage: Warning signal to prepare for a potential reversal or pullback. 💡 Secondary Confirmation (Confluence) SAR+MACD Bullish: Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend. Usage: Ideal for Pyramiding (adding to an existing winning position). SAR+MACD Bearish: Trigger: Fires when Parabolic SAR and MACD align bearishly. Usage: Ideal for adding to short positions. ⚠️ Chapter 7: Conclusion & Risk Disclosure Methodological Synthesis Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align. Disclaimer & Risk Warnings ◦ Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. ◦ No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. ◦ High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. ◦ Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Wskaźnik Pine Script®
od ApexLegion
17
Force Pulse█ OVERVIEW Force Pulse is a fast-reacting oscillator that measures the internal strength of market sides by analyzing the aggregated dominance of bulls and bears based on candle size. The indicator normalizes this difference into a 0–100 range, generates signals (OB/OS, midline cross, MA midline cross), and detects divergences between price and the oscillator. It also offers advanced visualization, signal markers, and alerts, making it a versatile tool suitable for many trading styles. █ CONCEPTS Force Pulse was designed as a universal tool that can be applied to various trading strategies depending on its settings: - increasing the period lengths and smoothing transforms it into a momentum/trend indicator, revealing a stable dominance of one market side. - Lowering these parameters turns it into a peak/low detector, ideal for contrarian and mean-reversion strategies. The oscillator analyzes the relationship between the sum of bullish and bearish candles over a selected period, based on: - candle body size, or - average candle body size (AVG Body). Depending on the selected mode, OB/OS levels should be adjusted, as value dynamics differ between modes. The output is normalized to 0–100, where: > 50 – bullish dominance, < 50 – bearish dominance. The additional MA line is derived from smoothed oscillator values and serves as a signal line for midline crosses and as a trend filter. The indicator also detects divergences (HL/LL) between price and the oscillator. █ FEATURES Bull & Bear Strength: - Calculations are based on Body or AVG Body – mode selection requires adjusting OB/OS levels. - Bullish and bearish candle values are summed separately. - All results are normalized to the 0–100 scale. Force Pulse Oscillator: - The main line reflects the current dominance of either market side. Dynamic colors: - Green – above 50, - Red – below 50. Signal MA: - SMA based on oscillator values functions as a signal line. - Helps detect momentum shifts and generates signals via midline crosses. - Can serve as a trend confirmation filter. Overbought / Oversold: - Configurable OB/OS levels, also for the MA line. - Dynamic OB/OS line colors: when the MA line exceeds the defined threshold (e.g., MA > maOverbought or MA < maOversold), OB/OS lines change color (red/green). - This often signals a potential reversal or correction and may act as additional confirmation for oscillator-generated signals. Divergences: - Detection based on swing pivots: - Bullish: price LL, oscillator HL - Bearish: price HH, oscillator LH - Displayed as “Bull” / “Bear” labels. Signals: Supports multiple signal types: - Overbought/Oversold Cross - Midline Cross - MA Midline Cross (based on the signal MA line) - Signals appear as triangles above/below the oscillator. Visualization: - Gradient options for lines and levels. - Full customization of colors, transparency, and line thickness. Alerts available for: - Divergences - OB/OS crossings - Midline crossings - MA midline crossings █ HOW TO USE Add the indicator to your TradingView chart → Indicators → search “Force Pulse” Parameter Configuration Calculation Settings: - Calculation Period (lookback) – defines the strength calculation window. Force Mode (Body / AVG Body): - Body – faster response, higher sensitivity. - AVG Body – more stable output; adjust band levels and periods to your strategy. - EMA Smoothing (smoothLen) – reduces oscillator noise. - MA Length – length of the signal line (SMA). Threshold Levels: - Set Overbought/Oversold levels for both the oscillator and the MA line. - Adjust levels depending on Body / AVG Body mode. Divergence Detection: - Enable/disable divergence detection. - PivotLength affects both delay and signal quality. - Signal Settings: Choose one or multiple signal types. - Style & Colors: Full control over color schemes, gradients, and transparency. Signal Interpretation BUY: - Oscillator leaves oversold (OS crossover). - Midline cross upward. - MA crosses the midline from below. - Bullish divergence. SELL: - Oscillator leaves overbought (drops below OB). - Midline cross downward. - MA crosses the midline from above. - Bearish divergence. Trend / Momentum: -Longer periods and stronger smoothing → stable directional signals. -MA as a trend filter: e.g., signal line above the midline (50) and MA pointing upward indicates continuation of a bullish impulse. Contrarian / Mean Reversion: - Short periods → rapid detection of peaks and troughs; ideal for contrarian signals and pullback entries. █ APPLICATIONS - Trend Trading: Using midline and MA midline crosses to determine direction. - Reversal Trading: OB/OS levels and divergences help identify reversals. - Scalping & Intraday: Short settings + signal line above the midline with bullish MA → shows short-term impulse and continuation. - Swing Trading: Longer MA and higher lookback provide a stable view of market-side dominance. - Momentum Analysis: Force Pulse highlights the strength of the wave before price movement occurs. █ NOTES - In strong trends, the oscillator may stay in extreme zones for a long time — this reflects dominance, not necessarily a reversal signal. - Divergences are more reliable on higher timeframes. - OB/OS levels should be tailored to Body/AVG Body mode and the instrument. - Best results come from combining the indicator with other tools (S/R, market structure, volume).
Wskaźnik Pine Script®
od Uncle_the_shooter
8
VMDM - Volume, Momentum & Divergence Master [BullByte]VMDM - Volume, Momentum and Divergence Master Educational Multi-Layer Market Structure Analysis System Multi-factor divergence engine that scores RSI momentum, volume pressure, and institutional footprints into one non-repainting confluence rating (0-100). WHAT THIS INDICATOR IS VMDM is an educational indicator designed to teach traders how to recognize high-probability reversal and continuation patterns by analyzing four independent market dimensions simultaneously. Instead of relying on a single indicator that may produce frequent false signals, VMDM creates a confluence-based scoring system that weights multiple confirmation factors, helping you understand which setups have stronger technical backing and which are lower quality. This is NOT a trading system or signal generator. It is a learning tool that visualizes complex market structure concepts in an accessible format for both coders and non-coders. THE PROBLEM IT SOLVES Most traders face these common challenges: Challenge 1 - Indicator Overload: Running RSI, volume analysis, and divergence detection separately creates chart clutter and conflicting signals. You waste time cross-referencing multiple windows trying to determine if all factors align. Challenge 2 - False Divergences: Standard divergence indicators trigger on every minor pivot, creating noise. Many divergences fail because they lack supporting evidence from volume or market structure. Challenge 3 - Missed Context: A bullish RSI divergence means nothing if it occurs during weak volume or in the middle of strong distribution. Context determines quality. Challenge 4 - Repainting Confusion: Many divergence scripts repaint, showing perfect historical signals that never actually triggered in real-time, leading to false confidence. Challenge 5 - Institutional Pattern Recognition: Absorption zones, stop hunts, and exhaustion patterns are taught in trading education but difficult to identify systematically without manual analysis. VMDM addresses all five challenges by combining complementary analytical layers into one transparent, non-repainting, confluence-weighted system with visual clarity. WHY THIS SPECIFIC COMBINATION - MASHUP JUSTIFICATION This indicator is NOT a random mashup of popular indicators. Each of the four layers serves a specific analytical purpose and together they create a complete market structure assessment framework. THE FOUR ANALYTICAL LAYERS LAYER 1 - RSI MOMENTUM DIVERGENCE (Trend Exhaustion Detection) Purpose: Identifies when price momentum is weakening before price itself reverses. Why RSI: The Relative Strength Index measures momentum on a bounded 0-100 scale, making divergence detection mathematically consistent across all assets and timeframes. Unlike raw price oscillators, RSI normalizes momentum regardless of volatility regime. How It Contributes: Divergence between price pivots and RSI pivots reveals early momentum exhaustion. A lower price low with a higher RSI low (bullish regular divergence) signals sellers are losing strength even as price makes new lows. This is the PRIMARY signal generator in VMDM. Limitation If Used Alone: RSI divergence by itself produces many false signals because momentum can remain weak during continued trends. It needs confirmation from volume and structural evidence. LAYER 2 - VOLUME PRESSURE ANALYSIS (Buying vs Selling Intensity) Purpose: Quantifies whether the current bar's volume reflects buying pressure or selling pressure based on where price closed within the bar's range. Methodology: Instead of just measuring volume size, VMDM calculates WHERE in the bar range the close occurred. A close near the high on high volume indicates strong buying absorption. A close near the low indicates selling pressure. The calculation accounts for wick size (wicks reduce pressure quality) and uses percentile ranking over a lookback period to normalize pressure strength on a 0-100 scale. Formula Concept: Buy Pressure = Volume × (Close - Low) / (High - Low) × Wick Quality Factor Sell Pressure = Volume × (High - Close) / (High - Low) × Wick Quality Factor Net Pressure = Buy Pressure - Sell Pressure Pressure Strength = Percentile Rank of Net Pressure over lookback period Why Percentile Ranking: Absolute volume varies by asset and session. Percentile ranking makes 85th percentile pressure on low-volume crypto comparable to 85th percentile pressure on high-volume forex. How It Contributes: When a bullish divergence occurs at a pivot low AND pressure strength is above 60 (strong buying), this adds 25 confluence points. It confirms that the divergence is occurring during actual accumulation, not just weak selling. Limitation If Used Alone: Pressure analysis shows current bar intensity but cannot identify trend exhaustion or reversal timing. High buying pressure can exist during a strong uptrend with no reversal imminent. LAYER 3 - BEHAVIORAL FOOTPRINT PATTERNS (Volume Anomaly Detection) CRITICAL DISCLAIMER: The terms "institutional footprint," "absorption," "stop hunt," and "exhaustion" used in this indicator are EDUCATIONAL LABELS for specific price and volume behavioral patterns. These patterns are detected through technical analysis of publicly available price, volume, and bar structure data. This indicator does NOT have access to actual institutional order flow, market maker data, broker stop-loss locations, or any non-public data source. These pattern names are used because they are common terminology in trading education to describe these technical behaviors. The analysis is interpretive and based on observable price action, not privileged information. Purpose: Detect volume anomalies and price patterns that historically correlate with potential reversal zones or trend continuation failure. Pattern Type 1 - Absorption (Labeled as "ACCUMULATION" or "DISTRIBUTION") Detection Criteria: Volume is more than 2x the moving average AND bar range is less than 50 percent of the average bar range. Interpretation: High volume compressed into a tight range suggests large participants are absorbing supply (accumulation) or distribution (distribution) without allowing price to move significantly. This often precedes directional moves once absorption completes. Visual: Colored box zone highlighting the absorption area. Pattern Type 2 - Stop Hunt (Labeled as "BULL HUNT" or "BEAR HUNT") Detection Criteria: Price penetrates a recent 10-bar high or low by a small margin (0.2 percent), then closes back inside the range on above-average volume (1.5x+). Interpretation: Price briefly spikes beyond recent structure (likely triggering stop losses placed just beyond obvious levels) then reverses. This is a classic false breakout pattern often seen before reversals. Visual: Label at the wick extreme showing hunt direction. Pattern Type 3 - Exhaustion (Labeled as "SELL EXHAUST" or "BUY EXHAUST") Detection Criteria: Lower wick is more than 2.5x the body size with volume above 1.8x average and RSI below 35 (sell exhaustion), OR upper wick more than 2.5x body size with volume above 1.8x average and RSI above 65 (buy exhaustion). Interpretation: Large wicks with high volume and extreme RSI suggest aggressive buying or selling was met with equally aggressive rejection. This exhaustion often marks short-term extremes. Visual: Label showing exhaustion type. How These Contribute: When a divergence forms at a pivot AND one of these behavioral patterns is active, the confluence score increases by 20 points. This confirms the divergence is occurring during structural anomaly activity, not just normal price flow. Limitation If Used Alone: These patterns can occur mid-trend and do not indicate direction without momentum context. Absorption in a strong uptrend may just be continuation accumulation. LAYER 4 - CONFLUENCE SCORING MATRIX (Quality Weighting System) Purpose: Translate all detected conditions into a single 0-100 quality score so you can objectively compare setups. Scoring Breakdown: Divergence Present: +30 points (primary signal) Pressure Confirmation: +25 points (volume supports direction) Behavioral Footprint Active: +20 points (structural anomaly present) RSI Extreme: +15 points (RSI below 30 or above 70 at pivot) Volume Spike: +10 points (current volume above 1.5x average) Maximum Possible Score: 100 points Why These Weights: The weights reflect reliability hierarchy based on backtesting observation. Divergence is the core signal (30 points), but without volume confirmation (25 points) many fail. Behavioral patterns add meaningful context (20 points). RSI extremes and volume spikes are secondary confirmations (15 and 10 points). Quality Tiers: 90-100: TEXTBOOK (all factors aligned) 75-89: HIGH QUALITY (strong confluence) 60-74: VALID (meets minimum threshold) Below 60: DEVELOPING (not displayed unless threshold lowered) How It Contributes: The confluence score allows you to filter noise. You can set your minimum quality threshold in settings. Higher thresholds (75+) show fewer but higher-quality patterns. Lower thresholds (50-60) show more patterns but include lower-confidence setups. This teaches you to distinguish strong setups from weak ones. Limitation: Confluence scoring is historical observation-based, not predictive guarantee. A 95-point setup can still fail. The score represents technical alignment, not future certainty. WHY THIS COMBINATION WORKS TOGETHER Each layer addresses a limitation in the others: RSI Divergence identifies WHEN momentum is exhausting (timing) Volume Pressure confirms WHETHER the exhaustion is accompanied by opposite-side accumulation (confirmation) Behavioral Footprint shows IF structural anomalies support the reversal hypothesis (context) Confluence Scoring weights ALL factors into an objective quality metric (filtering) Using only RSI divergence gives you timing without confirmation. Using only volume pressure gives you intensity without directional context. Using only pattern detection gives you anomalies without trend exhaustion context. Using all four together creates a complete analytical framework where each layer compensates for the others' weaknesses. This is not a mashup for the sake of combining indicators. It is a structured analytical system where each component has a defined role in a multi-dimensional market assessment process. HOW TO READ THE INDICATOR - VISUAL ELEMENTS GUIDE VMDM displays up to five visual layer types. You can enable or disable each layer independently in settings under "Visual Layers." VISUAL LAYER 1 - MARKET STRUCTURE (Pivot Points and Lines) What You See: Small labels at swing highs and lows marked "PH" (Pivot High) and "PL" (Pivot Low) with horizontal dashed lines extending right from each pivot. What It Means: These are CONFIRMED pivots, not real-time. A pivot low appears AFTER the required right-side confirmation bars pass (default 3 bars). This creates a delay but prevents repainting. The pivot only appears once it is mathematically confirmed. The horizontal lines represent support (from pivot lows) and resistance (from pivot highs) levels where price previously found significant rejection. Color Coding: Green label and line: Pivot Low (potential support) Red label and line: Pivot High (potential resistance) How To Use: These pivots are the foundation for divergence detection. Divergence is only calculated between confirmed pivots, ensuring all signals are non-repainting. The lines help you see historical structure levels. VISUAL LAYER 2 - PRESSURE ZONES (Background Color) What You See: Subtle background color shading on bars - light green or light red tint. What It Means: This visualizes volume pressure strength in real-time. Color Coding: Light Green Background: Pressure Strength above 70 (strong buying pressure - price closing near highs on volume) Light Red Background: Pressure Strength below 30 (strong selling pressure - price closing near lows on volume) No Color: Neutral pressure (pressure between 30-70) How To Use: When a bullish divergence pattern appears during green pressure zones, it suggests the divergence is forming during accumulation. When a bearish divergence appears during red zones, distribution is occurring. Pressure zones help you filter divergences - those forming in supportive pressure environments have higher probability. VISUAL LAYER 3 - DIVERGENCE LINES (Dotted Connectors) What You See: Dotted lines connecting two pivot points (either two pivot lows or two pivot highs). What It Means: A divergence has been detected between those two pivots. The line connects the price pivots where RSI showed opposite behavior. Color Coding: Bright Green Line: Bullish divergence (regular or hidden) Bright Red Line: Bearish divergence (regular or hidden) How To Use: The divergence line appears ONLY after the second pivot is confirmed (delayed by right-side confirmation bars). This is intentional to prevent repainting. When you see the line appear, it means: For Bullish Regular Divergence: Price made a lower low (second pivot lower than first) RSI made a higher low (RSI at second pivot higher than first) Interpretation: Downtrend losing momentum For Bullish Hidden Divergence: Price made a higher low (second pivot higher than first) RSI made a lower low (RSI at second pivot lower than first) Interpretation: Uptrend continuation likely (pullback within uptrend) For Bearish Regular Divergence: Price made a higher high (second pivot higher than first) RSI made a lower high (RSI at second pivot lower than first) Interpretation: Uptrend losing momentum For Bearish Hidden Divergence: Price made a lower high (second pivot lower than first) RSI made a higher high (RSI at second pivot higher than first) Interpretation: Downtrend continuation likely (bounce within downtrend) If "Show Consolidated Analysis Label" is disabled, a small label will appear on the divergence line showing the divergence type abbreviation. VISUAL LAYER 4 - BEHAVIORAL FOOTPRINT MARKERS What You See: Boxes, labels, and markers at specific bars showing pattern detection. ABSORPTION ZONES (Boxes): Colored rectangular boxes spanning one or more bars. Purple Box: Accumulation absorption zone (high volume, tight range, bullish close) Red Box: Distribution absorption zone (high volume, tight range, bearish close) If absorption continues for multiple consecutive bars, the box extends and a counter appears in the label showing how many bars the absorption lasted. What It Means: Large volume is being absorbed without significant price movement. This often precedes directional breakouts once the absorption phase completes. STOP HUNT MARKERS (Labels): Small labels below or above wicks labeled "BULL HUNT" or "BEAR HUNT" (may show bar count if consecutive). What It Means: BULL HUNT : Price spiked below recent lows then reversed back up on volume - likely triggered sell stops before reversing BEAR HUNT : Price spiked above recent highs then reversed back down on volume - likely triggered buy stops before reversing EXHAUSTION MARKERS (Labels): Labels showing "SELL EXHAUST" or "BUY EXHAUST." What It Means: SELL EXHAUST : Large lower wick with high volume and low RSI - aggressive selling met with strong rejection BUY EXHAUST : Large upper wick with high volume and high RSI - aggressive buying met with strong rejection How To Use: These markers help you identify WHERE structural anomalies occurred. When a divergence signal appears AT THE SAME TIME as one of these patterns, the confluence score increases. You are looking for alignment - divergence + behavioral pattern + pressure confirmation = high-quality setup. VISUAL LAYER 5 - CONSOLIDATED ANALYSIS LABEL (Main Pattern Signal) What You See: A large label appearing at pivot points (or in real-time mode, at current bar) containing full pattern analysis. Label Appearance: Depending on your "Use Compact Label Format" setting: COMPACT MODE (Single Line): Example: "BULLISH REGULAR | Q:HIGH QUALITY C:82" Breakdown: BULLISH REGULAR: Divergence type detected Q:HIGH QUALITY: Pattern quality tier C:82: Confluence score (82 out of 100) FULL MODE (Multi-Line Detailed): Example: PATTERN DETECTED ------------------- BULLISH REGULAR Quality: HIGH QUALITY Price: Lower Low Momentum: Higher Low Signal: Weakening Downtrend CONFLUENCE: 82/100 ------------------- Divergence: 30 Pressure: 25 Institutional: 20 RSI Extreme: 0 Volume: 10 Breakdown: Top section: Pattern type and quality Middle section: Divergence explanation (what price did vs what RSI did) Bottom section: Confluence score with itemized breakdown showing which factors contributed Label Position: In Confirmed modes: Label appears AT the pivot point (delayed by confirmation bars) In Real-time mode: Label appears at current bar as conditions develop Label Color: Gold: Textbook quality (90+ confluence) Green: High quality (75-89 confluence) Blue: Valid quality (60-74 confluence) How To Use: This is your primary decision-making label. When it appears: Check the divergence type (regular divergences are reversal signals, hidden divergences are continuation signals) Review the quality tier (textbook and high quality have better historical win rates) Examine the confluence breakdown to see which factors are present and which are missing Look at the chart context (trend, support/resistance, timeframe) Use this information to assess whether the setup aligns with your strategy The label does NOT tell you to buy or sell. It tells you a technical pattern has formed and provides the quality assessment. Your trading decision must incorporate risk management, market context, and your strategy rules. UNDERSTANDING THE THREE DETECTION MODES VMDM offers three signal detection modes in settings to accommodate different trading styles and learning objectives. MODE 1: "Confluence Only (Real-Time)" How It Works: Displays signals AS THEY DEVELOP on the current bar without waiting for pivot confirmation. The system calculates confluence score from pressure, volume, RSI extremes, and behavioral patterns. Divergence signals are NOT required in this mode. Delay: ZERO - signals appear immediately. Use Case: Real-time scanning for high-confluence zones without divergence requirement. Useful for intraday traders who want immediate alerts when multiple factors align. Tradeoff: More frequent signals but includes setups without confirmed divergence. Higher false signal rate. Signals can change as the bar develops (not repainting in historical bars, but current bar updates). Visual Behavior: Labels appear at the current bar. No divergence lines unless divergence happens to be present. MODE 2: "Divergence + Confluence (Confirmed)" - DEFAULT RECOMMENDED How It Works: Full system engagement. Signals appear ONLY when: A pivot is confirmed (requires right-side confirmation bars to pass) Divergence is detected between current pivot and previous pivot Total confluence score meets or exceeds your minimum threshold Delay: Equal to your "Pivot Right Bars" setting (default 3 bars). This means signals appear 3 bars AFTER the actual pivot formed. Use Case: Highest-quality, non-repainting signals for swing traders and learners who want to study confirmed pattern completion. Tradeoff: Delayed signals. You will not receive the signal until confirmation occurs. In fast-moving markets, price may have already moved significantly by the time the signal appears. Visual Behavior: Labels appear at the historical pivot location (in the past). Divergence lines connect the two pivots. This is the most educational mode because it shows completed, confirmed patterns. Non-Repainting Guarantee: Yes. Once a signal appears, it never disappears or changes. MODE 3: "Divergence + Confluence (Relaxed)" How It Works: Same as Confirmed mode but with adaptive thresholds. If confluence is very high (10 points above threshold), the signal may appear even if some factors are weak. If divergence is present but confluence is slightly below threshold (within 10 points), it may still appear. Delay: Same as Confirmed mode (right-side confirmation bars). Use Case: Slightly more signals than Confirmed mode for traders willing to accept near-threshold setups. Tradeoff: More signals but lower average quality than Confirmed mode. Visual Behavior: Same as Confirmed mode. DASHBOARD GUIDE - READING THE METRICS The dashboard appears in the corner of your chart (position selectable in settings) and provides real-time market state analysis. You can choose between four dashboard detail levels in settings: Off, Compact, Optimized (default), Full. DASHBOARD ROW EXPLANATIONS ROW 1 - Header Information Left: Current symbol and timeframe Center: "VMDM " Right: Version number ROW 2 - Mode and Delay Shows which detection mode you are using and the signal delay. Example: "CONFIRMED | Delay: 3 bars" This reminds you that signals in confirmed mode appear 3 bars after the pivot forms. ROW 3 - Market Regime Format: "TREND UP HV" or "RANGING NV" First Part - Trend State: TREND UP: 20 EMA above 50 EMA with strong separation TREND DOWN: 20 EMA below 50 EMA with strong separation RANGING: EMAs close together, low trend strength TRANSITION: Between trending and ranging states Second Part - Volatility State: HV: High Volatility (current ATR more than 1.3x the 50-bar average ATR) NV: Normal Volatility (current ATR between 0.7x and 1.3x average) LV: Low Volatility (current ATR less than 0.7x average) Third Column: Volatility ratio (example: "1.45x" means current ATR is 1.45 times normal) How To Use: Regime context helps you interpret signals. Reversal divergences are more reliable in ranging or transitional regimes. Continuation divergences (hidden) are more reliable in trending regimes. High volatility means wider stops may be needed. ROW 4 - Pressure Shows current volume pressure state. Format: "BUYING | ██████████░░░░░░░░░" States: BUYING : Pressure strength above 60 (closes near highs) SELLING : Pressure strength below 40 (closes near lows) NEUTRAL : Pressure strength between 40-60 Bar Visualization: Each block represents 10 percentile points. A full bar (10 filled blocks) = 100th percentile pressure. Color: Green for buying, red for selling, gray for neutral. How To Use: When pressure aligns with divergence direction (bullish divergence during buying pressure), confluence is stronger. ROW 5 - Volume and RSI Format: "1.8x | RSI 68 | OB" First Value: Current volume ratio (1.8x = volume is 1.8 times the moving average) Second Value: Current RSI reading Third Value: RSI state OB: Overbought (RSI above 70) OS: Oversold (RSI below 30) Blank: Neutral RSI How To Use: Volume spikes (above 1.5x) during divergence formation add confluence. RSI extremes at pivots add confluence. ROW 6 - Behavioral Footprint Format: "BULL HUNT | 2 bars" Shows the most recent behavioral pattern detected and how long ago. States: ACCUMULATION / DISTRIBUTION: Absorption detected BULL HUNT / BEAR HUNT: Stop hunt detected SELL EXHAUST / BUY EXHAUST: Exhaustion detected SCANNING: No recent pattern NOW: Pattern is active on current bar How To Use: When footprint activity is recent (within 50 bars) or active now, it adds context to divergence signals forming in that area. ROW 7 - Current Pattern Shows the divergence type currently detected (if any). Examples: "BULLISH REGULAR", "BEARISH HIDDEN", "Scanning..." Quality: Shows pattern quality (TEXTBOOK, HIGH QUALITY, VALID) How To Use: This tells you what type of signal is active. Regular divergences are reversal setups. Hidden divergences are continuation setups. ROW 8 - Session Summary Format: "14 events | A3 H8 E3" First Value: Total institutional events this session Breakdown: A: Absorption events H: Stop hunt events E: Exhaustion events How To Use: High event counts suggest an active, volatile session with frequent structural anomalies. Low counts suggest quiet, orderly price action. ROW 9 - Confluence Score (Optimized/Full mode only) Format: "78/100 | ████████░░" Shows current real-time confluence score even if no pattern is confirmed yet. How To Use: Watch this in real-time to see how close you are to pattern formation. When it exceeds your threshold and divergence forms, a signal will appear (after confirmation delay). ROW 10 - Patterns Studied (Optimized/Full mode only) Format: "47 patterns | 12 bars ago" First Value: Total confirmed patterns detected since chart loaded Second Value: How many bars since the last confirmed pattern appeared How To Use: Helps you understand pattern frequency on your selected symbol and timeframe. If many bars have passed since last pattern, market may be trending without reversal opportunities. ROW 11 - Bull/Bear Ratio (Optimized/Full mode only) Format: "28:19 | BULL" Shows count of bullish vs bearish patterns detected. Balance: BULL: More bullish patterns detected (suggests market has had more bullish reversals/continuations) BEAR: More bearish patterns detected BAL: Equal counts How To Use: Extreme imbalances can indicate directional bias in the studied period. A heavily bullish ratio in a downtrend might suggest frequent failed rallies (bearish continuation). Context matters. ROW 12 - Volume Ratio Detail (Optimized/Full mode only) Shows current volume vs average volume in absolute terms. Example: "1.4x | 45230 / 32300" How To Use: Confirms whether current activity is above or below normal. ROW 13 - Last Institutional Event (Full mode only) Shows the most recent institutional pattern type and how many bars ago it occurred. Example: "DISTRIBUTION | 23 bars" How To Use: Tracks recency of last anomaly for context. SETTINGS GUIDE - EVERY PARAMETER EXPLAINED PERFORMANCE SECTION Enable All Visuals (Master Toggle) Default: ON What It Does: Master kill switch for ALL visual elements (labels, lines, boxes, background colors, dashboard). When OFF, only plot outputs remain (invisible unless you open data window). When To Change: Turn OFF on mobile devices, 1-second charts, or slow computers to improve performance. You can still receive alerts even with visuals disabled. Impact: Dramatic performance improvement when OFF, but you lose all visual feedback. Maximum Object History Default: 50 | Range: 10-100 What It Does: Limits how many of each object type (labels, lines, boxes) are kept in memory. Older objects beyond this limit are deleted. When To Change: Lower to 20-30 on fast timeframes (1-minute charts) to prevent slowdown. Increase to 100 on daily charts if you want more historical pattern visibility. Impact: Lower values = better performance but less historical visibility. Higher values = more history visible but potential slowdown on fast timeframes. Alert Cooldown (Bars) Default: 5 | Range: 1-50 What It Does: Minimum number of bars that must pass before another alert of the same type can fire. Prevents alert spam when multiple patterns form in quick succession. When To Change: Increase to 20+ on 1-minute charts to reduce noise. Decrease to 1-2 on daily charts if you want every pattern alerted. Impact: Higher cooldown = fewer alerts. Lower cooldown = more alerts. USER EXPERIENCE SECTION Show Enhanced Tooltips Default: ON What It Does: Enables detailed hover-over tooltips on labels and visual elements. When To Change: Turn OFF if you encounter Pine Script compilation errors related to tooltip arguments (rare, platform-specific issue). Impact: Minimal. Just adds helpful hover text. MARKET STRUCTURE DETECTION SECTION Pivot Left Bars Default: 3 | Range: 2-10 What It Does: Number of bars to the LEFT of the center bar that must be higher (for pivot low) or lower (for pivot high) than the center bar for a pivot to be valid. Example: With value 3, a pivot low requires the center bar's low to be lower than the 3 bars to its left. When To Change: Increase to 5-7 on noisy timeframes (1-minute charts) to filter insignificant pivots Decrease to 2 on slow timeframes (daily charts) to catch more pivots Impact: Higher values = fewer, more significant pivots = fewer signals. Lower values = more frequent pivots = more signals but more noise. Pivot Right Bars Default: 3 | Range: 2-10 What It Does: Number of bars to the RIGHT of the center bar that must pass for confirmation. This creates the non-repainting delay. Example: With value 3, a pivot is confirmed 3 bars AFTER it forms. When To Change: Increase to 5-7 for slower, more confirmed signals (better for swing trading) Decrease to 2 for faster signals (better for intraday, but still non-repainting) Impact: Higher values = longer delay but more reliable confirmation. Lower values = faster signals but less confirmation. This setting directly controls your signal delay in Confirmed and Relaxed modes. Minimum Confluence Score Default: 60 | Range: 40-95 What It Does: The threshold score required for a pattern to be displayed. Patterns with confluence scores below this threshold are not shown. When To Change: Increase to 75+ if you only want high-quality textbook setups (fewer signals) Decrease to 50-55 if you want to see more developing patterns (more signals, lower average quality) Impact: This is your primary signal filter. Higher threshold = fewer, higher-quality signals. Lower threshold = more signals but includes weaker setups. Recommended starting point is 60-65. TECHNICAL PERIODS SECTION RSI Period Default: 14 | Range: 5-50 What It Does: Lookback period for RSI calculation. When To Change: Decrease to 9-10 for faster, more sensitive RSI that detects shorter-term momentum changes Increase to 21-28 for slower, smoother RSI that filters noise Impact: Lower values make RSI more volatile (more frequent extremes and divergences). Higher values make RSI smoother (fewer but more significant divergences). 14 is industry standard. Volume Moving Average Period Default: 20 | Range: 10-200 What It Does: Lookback period for calculating average volume. Current volume is compared to this average to determine volume ratio. When To Change: Decrease to 10-14 for shorter-term volume comparison (more sensitive to recent volume changes) Increase to 50-100 for longer-term volume comparison (smoother, less sensitive) Impact: Lower values make volume ratio more volatile. Higher values make it more stable. 20 is standard. ATR Period Default: 14 | Range: 5-100 What It Does: Lookback period for Average True Range calculation used for volatility measurement and label positioning. When To Change: Rarely needs adjustment. Use 7-10 for faster volatility response, 21-28 for slower. Impact: Affects volatility ratio calculation and visual label spacing. Minimal impact on signals. Pressure Percentile Lookback Default: 50 | Range: 10-300 What It Does: Lookback period for calculating volume pressure percentile ranking. Your current pressure is ranked against the pressure of the last X bars. When To Change: Decrease to 20-30 for shorter-term pressure context (more responsive to recent changes) Increase to 100-200 for longer-term pressure context (smoother rankings) Impact: Lower values make pressure strength more sensitive to recent bars. Higher values provide more stable, long-term pressure assessment. Capped at 300 for performance reasons. SIGNAL DETECTION SECTION Signal Detection Mode Default: "Divergence + Confluence (Confirmed)" Options: Confluence Only (Real-time) Divergence + Confluence (Confirmed) Divergence + Confluence (Relaxed) What It Does: Selects which detection logic mode to use (see "Understanding The Three Detection Modes" section above). When To Change: Use Confirmed for learning and non-repainting signals. Use Real-time for live scanning without divergence requirement. Use Relaxed for slightly more signals than Confirmed. Impact: Fundamentally changes when and how signals appear. VISUAL LAYERS SECTION All toggles default to ON. Each controls visibility of one visual layer: Show Market Structure: Pivot markers and support/resistance lines Show Pressure Zones: Background color shading Show Divergence Lines: Dotted lines connecting pivots Show Institutional Footprint Markers: Absorption boxes, hunt labels, exhaustion labels Show Consolidated Analysis Label: Main pattern detection label Use Compact Label Format Default: OFF What It Does: Switches consolidated label between single-line compact format and multi-line detailed format. When To Change: Turn ON if you find full labels too large or distracting. Impact: Visual clarity vs. information density tradeoff. DASHBOARD SECTION Dashboard Mode Default: "Optimized" Options: Off, Compact, Optimized, Full What It Does: Controls how much information the dashboard displays. Off: No dashboard Compact: 8 rows (essential metrics only) Optimized: 12 rows (recommended balance) Full: 13 rows (every available metric) Dashboard Position Default: "Top Right" Options: Top Right, Top Left, Bottom Right, Bottom Left What It Does: Screen corner where dashboard appears. HOW TO USE VMDM - PRACTICAL WORKFLOW STEP 1 - INITIAL SETUP Add VMDM to your chart Select your detection mode (Confirmed recommended for learning) Set your minimum confluence score (start with 60-65) Adjust pivot parameters if needed (default 3/3 is good for most timeframes) Enable the visual layers you want to see STEP 2 - CHART ANALYSIS Let the indicator load and analyze historical data Review the patterns that appear historically Examine the confluence scores - notice which patterns had higher scores Observe which patterns occurred during supportive pressure zones Notice the divergence line connections - understand what price vs RSI did STEP 3 - PATTERN RECOGNITION LEARNING When a consolidated analysis label appears: Read the divergence type (regular or hidden, bullish or bearish) Check the quality tier (textbook, high quality, or valid) Review the confluence breakdown - which factors contributed Look at the chart context - where is price relative to structure, trend, etc. Observe the behavioral footprint markers nearby - do they support the pattern STEP 4 - REAL-TIME MONITORING Watch the dashboard for real-time regime and pressure state Monitor the current confluence score in the dashboard When it approaches your threshold, be alert for potential pattern formation When a new pattern appears (after confirmation delay), evaluate it using the workflow above Use your trading strategy rules to decide if the setup aligns with your criteria STEP 5 - POST-PATTERN OBSERVATION After a pattern appears: Mark the level on your chart Observe what price does after the pattern completes Did price respect the reversal/continuation signal What was the confluence score of patterns that worked vs. those that failed Learn which quality tiers and confluence levels produce better results on your specific symbol and timeframe RECOMMENDED TIMEFRAMES AND ASSET CLASSES VMDM is timeframe-agnostic and works on any asset with volume data. However, optimal performance varies: BEST TIMEFRAMES 15-Minute to 1-Hour: Ideal balance of signal frequency and reliability. Pivot confirmation delay is acceptable. Sufficient volume data for pressure analysis. 4-Hour to Daily: Excellent for swing trading. Very high-quality signals. Lower frequency but higher significance. Recommended for learning because patterns are clearer. 1-Minute to 5-Minute: Works but requires adjustment. Increase pivot bars to 5-7 for filtering. Decrease max object history to 30 for performance. Expect more noise. Weekly/Monthly: Works but very infrequent signals. Increase confluence threshold to 70+ to ensure only major patterns appear. BEST ASSET CLASSES Forex Majors: Excellent volume data and clear trends. Pressure analysis works well. Crypto (Major Pairs): Good volume data. High volatility makes divergences more pronounced. Works very well. Stock Indices (SPY, QQQ, etc.): Excellent. Clean price action and reliable volume. Individual Stocks: Works well on high-volume stocks. Low-volume stocks may produce unreliable pressure readings. Commodities (Gold, Oil, etc.): Works well. Clear trends and reactions. WHAT THIS INDICATOR CANNOT DO - LIMITATIONS LIMITATION 1 - It Does Not Predict The Future VMDM identifies when technical conditions align historically associated with potential reversals or continuations. It does not predict what will happen next. A textbook 95-confluence pattern can still fail if fundamental events, news, or larger timeframe structure override the setup. LIMITATION 2 - Confirmation Delay Means You Miss Early Entry In Confirmed and Relaxed modes, the non-repainting design means you receive signals AFTER the pivot is confirmed. Price may have already moved significantly by the time you receive the signal. This is the tradeoff for non-repainting reliability. You can use Real-time mode for faster signals but sacrifice divergence confirmation. LIMITATION 3 - It Does Not Tell You Position Sizing or Risk Management VMDM provides technical pattern analysis. It does not calculate stop loss levels, take profit targets, or position sizing. You must apply your own risk management rules. Never risk more than you can afford to lose based on a technical signal. LIMITATION 4 - Volume Pressure Analysis Requires Reliable Volume Data On assets with thin volume or unreliable volume reporting, pressure analysis may be inaccurate. Stick to major liquid assets with consistent volume data. LIMITATION 5 - It Cannot Detect Fundamental Events VMDM is purely technical. It cannot predict earnings reports, central bank decisions, geopolitical events, or other fundamental catalysts that can override technical patterns. LIMITATION 6 - Divergence Requires Two Pivots The indicator cannot detect divergence until at least two pivots of the same type have formed. In strong trends without pullbacks, you may go long periods without signals. LIMITATION 7 - Institutional Pattern Names Are Interpretive The behavioral footprint patterns are named using common trading education terminology, but they are detected through technical analysis, not actual institutional data access. The patterns are interpretations based on price and volume behavior. CONCEPT FOUNDATION - WHY THIS APPROACH WORKS MARKET PRINCIPLE 1 - Momentum Divergence Precedes Price Reversal Price is the final output of market forces, but momentum (the rate of change in those forces) shifts first. When price makes a new low but the momentum behind that move is weaker (higher RSI low), it signals that sellers are losing strength even though they temporarily pushed price lower. This precedes reversal. This is a fundamental principle in technical analysis taught by Charles Dow, widely observed in market behavior. MARKET PRINCIPLE 2 - Volume Reveals Conviction Price can move on low volume (low conviction) or high volume (high conviction). When price makes a new low on declining volume while RSI shows improving momentum, it suggests the new low is not confirmed by participant conviction. Adding volume pressure analysis to momentum divergence adds a confirmation layer that filters false divergences. MARKET PRINCIPLE 3 - Anomalies Mark Structural Extremes When volume spikes significantly but range contracts (absorption), or when price spikes beyond structure then reverses (stop hunt), or when aggressive moves are met with large-wick rejection (exhaustion), these anomalies often mark short-term extremes. Combining these structural observations with momentum analysis creates context. MARKET PRINCIPLE 4 - Confluence Improves Probability No single technical factor is reliable in isolation. RSI divergence alone fails frequently. Volume analysis alone cannot time entries. Combining multiple independent factors into a weighted system increases the probability that observed patterns have structural significance rather than random noise. THE EDUCATIONAL VALUE By visualizing all four layers simultaneously and breaking down the confluence scoring transparently, VMDM teaches you to think in terms of multi-dimensional analysis rather than single-indicator reliance. Over time, you will learn to recognize these patterns manually and understand which combinations produce better results on your traded assets. INSTITUTIONAL TERMINOLOGY - IMPORTANT CLARIFICATION This indicator uses the following terms that are common in trading education: Institutional Footprint Absorption (Accumulation / Distribution) Stop Hunt Exhaustion CRITICAL DISCLAIMER: These terms are EDUCATIONAL LABELS for specific price action and volume behavior patterns detected through technical analysis of publicly available chart data (open, high, low, close, volume). This indicator does NOT have access to: Actual institutional order flow or order book data Market maker positions or intentions Broker stop-loss databases Non-public trading data Proprietary institutional information The patterns labeled as "institutional footprint" are interpretations based on observable price and volume behavior that educational trading literature often associates with potential large-participant activity. The detection is algorithmic pattern recognition, not privileged data access. When this indicator identifies "absorption," it means it detected high volume within a small range - a condition that MAY indicate large orders being filled but is not confirmation of actual institutional participation. When it identifies a "stop hunt," it means price briefly penetrated a structural level then reversed - a pattern that MAY have triggered stop losses but is not confirmation that stops were specifically targeted. When it identifies "exhaustion," it means high volume with large rejection wicks - a pattern that MAY indicate aggressive participation meeting strong opposition but is not confirmation of institutional involvement. These are technical analysis interpretations, not factual statements about market participant identity or intent. DISCLAIMER AND RISK WARNING EDUCATIONAL PURPOSE ONLY This indicator is designed as an educational tool to help traders learn to recognize technical patterns, understand multi-factor analysis, and practice systematic market observation. It is NOT a trading system, signal service, or financial advice. NO PERFORMANCE GUARANTEE Past pattern behavior does not guarantee future results. A pattern that historically preceded price movement in one direction may fail in the future due to changing market conditions, fundamental events, or random variance. Confluence scores reflect historical technical alignment, not future certainty. TRADING INVOLVES SUBSTANTIAL RISK Trading financial instruments involves substantial risk of loss. You can lose more than your initial investment. Never trade with money you cannot afford to lose. Always use proper risk management including stop losses, position sizing, and portfolio diversification. NO PREDICTIVE CLAIMS This indicator does NOT predict future price movement. It identifies when technical conditions align in patterns that historically have been associated with potential reversals or continuations. Market behavior is probabilistic, not deterministic. BACKTESTING LIMITATIONS If you backtest trading strategies using this indicator, ensure you account for: Realistic commission costs Realistic slippage (difference between signal price and actual fill price) Sufficient sample size (minimum 100 trades for statistical relevance) Reasonable position sizing (risking no more than 1-2 percent of account per trade) The confirmation delay inherent in the indicator (you cannot enter at the exact pivot in Confirmed mode) Backtests that do not account for these factors will produce unrealistic results. AUTHOR LIABILITY The author (BullByte) is not responsible for any trading losses incurred using this indicator. By using this indicator, you acknowledge that all trading decisions are your sole responsibility and that you understand the risks involved. NOT FINANCIAL ADVICE Nothing in this indicator, its code, its description, or its visual outputs constitutes financial, investment, or trading advice. Consult a licensed financial advisor before making investment decisions. FREQUENTLY ASKED QUESTIONS Q: Why do signals appear in the past, not at the current bar A: In Confirmed and Relaxed modes, signals appear at confirmed pivots, which requires waiting for right-side confirmation bars (default 3). This creates a delay but prevents repainting. Use Real-time mode if you want current-bar signals without pivot confirmation. Q: Can I use this for automated trading A: You can create alert-based automation, but understand that Confirmed mode signals appear AFTER the pivot with delay, so your entry will not be at the pivot price. Real-time mode signals can change as the current bar develops. Automation requires careful consideration of these factors. Q: How do I know which confluence score to use A: Start with 60. Observe which patterns work on your symbol/timeframe. If too many false signals, increase to 70-75. If too few signals, decrease to 55. Quality vs. quantity tradeoff. Q: Do regular divergences mean I should enter a reversal trade immediately A: No. Regular divergences indicate momentum exhaustion, which is a WARNING sign that trend may reverse, not a confirmation that it will. Use confluence score, market context, support/resistance, and your strategy rules to make entry decisions. Many divergences fail. Q: What's the difference between regular and hidden divergence A: Regular divergence = price and momentum move in opposite directions at extremes = potential reversal signal. Hidden divergence = price and momentum move in opposite directions during pullbacks = potential continuation signal. Hidden divergence suggests the pullback is just a correction within the larger trend. Q: Why does the pressure zone color sometimes conflict with the divergence direction A: Pressure is real-time current bar analysis. Divergence is confirmed pivot analysis from the past. They measure different things at different times. A bullish divergence confirmed 3 bars ago might appear during current selling pressure. This is normal. Q: Can I use this on stocks without volume data A: No. Volume is required for pressure analysis and behavioral pattern detection. Use only on assets with reliable volume reporting. Q: How often should I expect signals A: Depends on timeframe and settings. Daily charts might produce 5-10 signals per month. 1-hour charts might produce 20-30. 15-minute charts might produce 50-100. Adjust confluence threshold to control frequency. Q: Can I modify the code A: Yes, this is open source. You can modify for personal use. If you publish a modified version, please credit the original and ensure your publication meets TradingView guidelines. Q: What if I disagree with a pattern's confluence score A: The scoring weights are based on general observations and may not suit your specific strategy or asset. You can modify the code to adjust weights if you have data-driven reasons to do so. Final Notes VMDM - Volume, Momentum and Divergence Master is an educational multi-layer market analysis system designed to teach systematic pattern recognition through transparent, confluence-weighted signal detection. By combining RSI momentum divergence, volume pressure quantification, behavioral footprint pattern recognition, and quality scoring into a unified framework, it provides a comprehensive learning environment for understanding market structure. Use this tool to develop your analytical skills, understand how multiple technical factors interact, and learn to distinguish high-quality setups from noise. Remember that technical analysis is probabilistic, not predictive. No indicator replaces proper education, risk management, and trading discipline. Trade responsibly. Learn continuously. Risk only what you can afford to lose. -BullByte
Wskaźnik Pine Script®
od BullByte
10
RSI HTF Hardcoded (A/B Presets) + Regimes [CHE]RSI HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe RSI emulation with acceptance-based regime filter and on-chart diagnostics Summary This indicator emulates a higher-timeframe RSI on the current chart by resolving hardcoded “HTF-like” lengths from a time-bucket mapping, avoiding cross-timeframe requests. It computes RSI on a resolved length, smooths it with a resolved moving average, and derives a histogram-style difference (RSI minus its smoother). A four-state regime classifier is gated by a dead-band and an acceptance filter requiring consecutive bars before a regime is considered valid. An on-chart table reports the active preset, resolved mapping tag, resolved lengths, and the current filtered regime. Pine version: v6 Overlay: false Primary outputs: RSI line, SMA(RSI) line, RSI–SMA histogram columns, reference levels (30/50/70), regime-change alert, info table Motivation Cross-timeframe RSI implementations often rely on `request.security`, which can introduce repaint pathways and additional update latency. This design uses deterministic, on-series computation: it infers a coarse target bucket (or uses a forced bucket) and resolves lengths accordingly. The dead-band reduces noise at the decision boundaries (around RSI 50 and around the RSI–SMA difference), while the acceptance filter suppresses rapid flip-flops by requiring sustained agreement across bars. Differences Baseline: Standard RSI with a user-selected length on the same timeframe, or HTF RSI via cross-timeframe requests. Key differences: Hardcoded preset families and a bucket-based mapping to resolve “HTF-like” lengths on the current chart. No `request.security`; all calculations run on the chart’s own series. Regime classification uses two independent signals (RSI relative to 50 and RSI–SMA difference), gated by a configurable dead-band and an acceptance counter. Always-on diagnostics via a persistent table (optional), showing preset, mapping tag, resolved lengths, and filtered regime. Practical effect: The oscillator behaves like a slower, higher-timeframe variant with more stable regime transitions, at the cost of delayed recognition around sharp turns (by design). How it works 1. Bucket selection: The script derives a coarse “target bucket” from the chart timeframe (Auto) or uses a user-forced bucket. 2. Length resolution: A chosen preset defines base lengths (RSI length and smoothing length). A bucket/timeframe mapping resolves a multiplier, producing final lengths used for RSI and smoothing. 3. Oscillator construction: RSI is computed on the resolved RSI length. A moving average of RSI is computed on the resolved smoothing length. The difference (RSI minus its smoother) is used as the histogram series. 4. Regime classification: Four regimes are defined from: RSI relative to 50 (bullish above, bearish below), with a dead-band around 50 Difference relative to 0 (positive/negative), with a dead-band around 0 These two axes produce strong/weak bull and bear states, plus a neutral state when inside the dead-band(s). 5. Acceptance filter: The raw regime must persist for `n` consecutive bars before it becomes the filtered regime. The alert triggers when the filtered regime changes. 6. Diagnostics and visualization: Histogram columns change shade based on sign and whether the difference is rising/falling. The table displays preset, mapping tag, resolved lengths, and the filtered regime description. Parameter Guide Source — Input series for RSI — Default: Close — Smoother sources reduce noise but add lag. Preset — Base lengths family — Default: A(14/14) — Switch presets to change RSI and smoothing responsiveness. Target Bucket — Auto or forced bucket — Default: Auto — Force a bucket to lock behavior across chart timeframe changes. Table X / Table Y — Table anchor — Default: right / top — Move to avoid covering content. Table Size — Table text size — Default: normal — Increase for presentations, decrease for dense layouts. Dark Mode — Table theme — Default: enabled — Match chart background for readability. Show Table — Toggle diagnostics table — Default: enabled — Disable for a cleaner pane. Epsilon (dead-band) — Noise gate for decisions — Default: 1.0 — Raise to reduce flips near boundaries; lower to react faster. Acceptance bars (n) — Bars required to confirm a regime — Default: 3 — Higher reduces whipsaw; lower increases reactivity. Reading Histogram (RSI–SMA): Above zero indicates RSI is above its smoother (positive momentum bias). Below zero indicates RSI is below its smoother (negative momentum bias). Darker/lighter shading indicates whether the difference is increasing or decreasing versus the previous bar. RSI vs SMA(RSI): RSI’s position relative to 50 provides broad directional bias. RSI’s position relative to its smoother provides momentum confirmation/contra-signal. Regimes: Strong bull: RSI meaningfully above 50 and difference meaningfully above 0. Weak bull: RSI above 50 but difference below 0 (pullback/transition). Strong bear: RSI meaningfully below 50 and difference meaningfully below 0. Weak bear: RSI below 50 but difference above 0 (pullback/transition). Neutral: inside the dead-band(s). Table: Use it to validate the active preset, the mapping tag, the resolved lengths, and the filtered regime output. Workflows Trend confirmation: Favor long bias when strong bull is active; favor short bias when strong bear is active. Treat weak regimes as pullback/transition context rather than immediate reversals, especially with higher acceptance. Structure + oscillator: Combine regimes with swing structure, breakouts, or a baseline trend filter to avoid trading against dominant structure. Use regime change alerts as a “state change” notification, not as a standalone entry. Multi-asset consistency: The bucket mapping helps keep a consistent “feel” across different chart timeframes without relying on external timeframe series. Behavior/Constraints Intrabar behavior: No cross-timeframe requests are used; values can still evolve on the live bar and settle at close depending on your chart/update timing. Warm-up requirements: Large resolved lengths require sufficient history to seed RSI and smoothing. Expect a warm-up period after loading or switching symbols/timeframes. Latency by design: Dead-band and acceptance filtering reduce noise but can delay regime changes during sharp reversals. Chart types: Intended for standard time-based charts. Non-time-based or synthetic chart types (e.g., Heikin-Ashi, Renko, Kagi, Point-and-Figure, Range) can distort oscillator behavior and regime stability. Tuning Too many flips near decision boundaries: Increase Epsilon and/or increase Acceptance bars. Too sluggish in clean trends: Reduce Acceptance bars by one, or choose a faster preset (shorter base lengths). Too sensitive on lower timeframes: Choose a slower preset (longer base lengths) or force a higher Target Bucket. Want less clutter: Disable the table and keep only the alert + plots you need. What it is/isn’t This indicator is a regime and visualization layer for RSI using higher-timeframe emulation and stability gates. It is not a complete trading system and does not provide position sizing, risk management, or execution rules. Use it alongside structure, liquidity/volatility context, and protective risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino.
Wskaźnik Pine Script®
od chervolino
1
VuManChu Filtered OverlayVuManChu Filtered Overlay is a price-overlay signal tool inspired by VuManChu Cipher B. Instead of plotting the full oscillator in a separate pane, this script focuses on generating clean long/short signals directly on the chart, combining WaveTrend, Money Flow–style momentum, and an adjustable overbought/oversold threshold. Under the hood, the script builds a smoothed “Inertia Wave” using a normalized (close–open)/(high–low) money-flow proxy and a long SMA. This is used together with a classic WaveTrend (wt1 / wt2) calculation. Signals are only triggered when: WaveTrend lines cross (wt1 vs wt2), The cross direction matches the expected bias Bull: cross up from below, WaveTrend below zero Bear: cross down from above, WaveTrend above zero The custom money-flow curve (rsiMFI) confirms direction Bull: rsiMFI > 0 Bear: rsiMFI < 0 The WaveTrend line is beyond a user-defined OS/OB magnitude (Wavetrendtrigger), so only meaningful extremes are considered. The “VuManChu WaveTrend OS/OB threshold (+/-)” input lets you control how aggressive the signals are: Lower values (e.g. 5–10) → more frequent, more sensitive signals Higher values (e.g. 40–60) → fewer signa ls, focused on strong exhaustion moves Bullish and bearish opportunities are plotted as green and red dots on the candles, and corresponding alerts are fired: 🟢 Optimized VuManChu LONG signal detected on timeframe: X 🔴 Optimized VuManChu SHORT signal detected on timeframe: X This script is meant as a filter / confirmation layer, not a standalone system. For best results, combine it with your own trend, volume, or higher-timeframe context. This is not financial advice and should be used for educational and experimental purposes only.
Wskaźnik Pine Script®
od BTraderMS
Mirpapa_Lib_SumBoxLibrary "Mirpapa_Lib_SumBox" CreateSumCandleStates() CreateSumCandleStates @desc Creates a set of sum candle state strings. Returns (SumCandleStates): State string set (pending, confirmed, completed) Returns: SumCandleStates state string set CreateSumCandleData(sumOpen, sumHigh, sumLow, sumClose, sumStartTime, sumEndTime, sumHighTime, sumLowTime, state) CreateSumCandleData @desc Creates sum candle data (factory function). sumOpen (float): Sum open price sumHigh (float): Sum high price sumLow (float): Sum low price sumClose (float): Sum close price sumStartTime (int): Sum start time (milliseconds) sumEndTime (int): Sum end time (milliseconds) sumHighTime (int): High point occurrence time (milliseconds) sumLowTime (int): Low point occurrence time (milliseconds) state (string): State (pending/confirmed/completed) Returns (SumCandleData): Created sum candle data Parameters: sumOpen (float): (float) Sum open price sumHigh (float): (float) Sum high price sumLow (float): (float) Sum low price sumClose (float): (float) Sum close price sumStartTime (int): (int) Sum start time sumEndTime (int): (int) Sum end time sumHighTime (int): (int) High point occurrence time sumLowTime (int): (int) Low point occurrence time state (string): (string) State Returns: SumCandleData Created sum candle data ValidateSumCandleData(sumData, confirmedState) ValidateSumCandleData @desc Validates sum candle data. sumData (SumCandleData): Sum candle data to validate confirmedState (string): CONFIRMED state string Returns ( ): Parameters: sumData (SumCandleData): (SumCandleData) Sum candle data to validate confirmedState (string): (string) CONFIRMED state string Returns: CanConfirmSumCandle(sumData, pendingState, confirmedState, completedState) CanConfirmSumCandle @desc Validates whether a sum candle can be confirmed. sumData (SumCandleData): Sum candle data to confirm pendingState (string): PENDING state string confirmedState (string): CONFIRMED state string completedState (string): COMPLETED state string Returns ( ): Parameters: sumData (SumCandleData): (SumCandleData) Sum candle data to confirm pendingState (string): (string) PENDING state string confirmedState (string): (string) CONFIRMED state string completedState (string): (string) COMPLETED state string Returns: UpdateSumCandleState(sumData, newState, pendingState, confirmedState, completedState) UpdateSumCandleState @desc Updates the state of a sum candle (includes validation). sumData (SumCandleData): Sum candle data to update newState (string): New state pendingState (string): PENDING state string confirmedState (string): CONFIRMED state string completedState (string): COMPLETED state string Returns ( ): Parameters: sumData (SumCandleData): (SumCandleData) Sum candle data to update newState (string): (string) New state pendingState (string): (string) PENDING state string confirmedState (string): (string) CONFIRMED state string completedState (string): (string) COMPLETED state string Returns: CreateSumCandleBox(sumOpen, sumClose, sumStartTime, endTime, bullColor, bearColor, borderColor, borderWidth) CreateSumCandleBox @desc Creates a sum candle body box. sumOpen (float): Sum open price sumClose (float): Sum close price sumStartTime (int): Sum start time (milliseconds) endTime (int): Sum end time (milliseconds) bullColor (color): Bullish candle color bearColor (color): Bearish candle color borderColor (color): Border color borderWidth (int): Border width (1-5) Returns (box): Created body box Parameters: sumOpen (float): (float) Sum open price sumClose (float): (float) Sum close price sumStartTime (int): (int) Sum start time endTime (int): (int) Sum end time bullColor (color): (color) Bullish candle color bearColor (color): (color) Bearish candle color borderColor (color): (color) Border color borderWidth (int): (int) Border width Returns: box Body box CreateSumCandleLine(x, y1, y2, lineColor, lineWidth) CreateSumCandleLine @desc Creates a sum candle wick line. x (int): Line x coordinate (time, milliseconds) y1 (float): Line start y coordinate (price) y2 (float): Line end y coordinate (price) lineColor (color): Line color lineWidth (int): Line width (1-5) Returns (line): Created wick line Parameters: x (int): (int) Line x coordinate (time) y1 (float): (float) Line start y coordinate y2 (float): (float) Line end y coordinate lineColor (color): (color) Line color lineWidth (int): (int) Line width Returns: line Wick line DeleteSumCandleVisuals(sumData) DeleteSumCandleVisuals @desc Deletes visualization objects (boxes, lines) of a sum candle. sumData (SumCandleData): Sum candle data to delete Returns (void): No return value Parameters: sumData (SumCandleData): (SumCandleData) Sum candle data to delete Returns: void GetBodyBounds(sumOpen, sumClose) GetBodyBounds @desc Calculates the top and bottom boundaries of the body. sumOpen (float): Sum open price sumClose (float): Sum close price Returns ( ): Parameters: sumOpen (float): (float) Sum open price sumClose (float): (float) Sum close price Returns: ManageMemory(sumArray, maxSize) ManageMemory @desc Manages array size and deletes old data. sumArray (array): Sum candle array to manage maxSize (int): Maximum size Returns (void): No return value Parameters: sumArray (array): (array) Sum candle array to manage maxSize (int): (int) Maximum size Returns: void IsSingleCandle(sumData) IsSingleCandle @desc Checks if it's a sum consisting of only one candle. sumData (SumCandleData): Sum candle data to check Returns (bool): true if single candle, false otherwise Parameters: sumData (SumCandleData): (SumCandleData) Sum candle data to check Returns: bool Single candle status CalculateWickCenterTime(startTime, endTime) CalculateWickCenterTime @desc Calculates the center time where the wick will be displayed. startTime (int): Sum start time (milliseconds) endTime (int): Sum end time (milliseconds) Returns (int): Center time (milliseconds) Parameters: startTime (int): (int) Sum start time endTime (int): (int) Sum end time Returns: int Center time SumCandleStates Fields: pending (series string) confirmed (series string) completed (series string) SumCandleData Fields: _open (series float) _high (series float) _low (series float) _close (series float) _startTime (series int) _endTime (series int) _highTime (series int) _lowTime (series int) _isBull (series bool) _state (series string) _boxBody (series box) _wickHigh (series line) _wickLow (series line)
Biblioteka Pine Script®
od goodia