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Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
Wskaźnik Pine Script®
od lohanineeraj
Levels[cz]Description Levels is a proportional price grid indicator that draws adaptive horizontal levels based on higher timeframe (HTF) closes. Instead of relying on swing highs/lows or pivots, it builds structured support and resistance zones using fixed percentage increments from a Daily, Weekly, or Monthly reference close. This creates a consistent geometric framework that helps traders visualize price zones where reactions or consolidations often occur. How It Works The script retrieves the last HTF close (Daily/Weekly/Monthly). It then calculates percentage-based increments (e.g., 0.5%, 1%, 2%, 4%) above and below that reference. Each percentage forms a distinct “level group,” creating layered grids of potential reaction zones. Levels are automatically filtered to avoid overlap between different groups, keeping the chart clean. Visibility is dynamically controlled by timeframe: Level 1 → up to 15m Level 2 → up to 1h Level 3 → up to 4h Level 4 → up to 1D This ensures the right amount of structural detail at every zoom level. How to Use Identify confluence zones where multiple levels cluster — often areas of strong liquidity or reversals. Use the grid as a support/resistance map for entries, targets, and stop placement. Combine with trend or momentum indicators to validate reactions at key price bands. Adjust the percentage increments and reference timeframe to match the volatility of your instrument (e.g., smaller steps for crypto, larger for indices). Concept The indicator is based on the idea that markets move in proportional price steps, not random fluctuations. By anchoring levels to a higher-timeframe close and expanding outward geometrically, Levels highlights recurring equilibrium and expansion zones — areas where traders can anticipate probable turning points or consolidations. Features 4 customizable percentage-based level sets Dynamic visibility by timeframe Non-overlapping level hierarchy Lightweight on performance Fully customizable colors, styles, and widths
Wskaźnik Pine Script®
od ConstantinosZantis
1
Puell Multiple Variants [OperationHeadLessChicken]Overview This script contains three different, but related indicators to visualise Bitcoin miner revenue. The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play: Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this: Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly. Example usage The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example. The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7. The problems: - I have to switch the Puell Multiple to a logarithmic scale - Still, I cannot use a horizontal oversold territory - 5 didn't touch the trendline, despite being a cycle top - 9 touched the trendline despite not being a cycle top Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare: Advantages: - Now you can set a constant overvalued level (12.49 in my case) - 1,3,7 are signaled correctly as cycle tops - 9 is correctly not signaled as a cycle top Caveats: - Now you don't have bottom signals anymore - 5 is still not signaled as cycle top Let's see if we can further improve this: Miner Revenue RSI (blue): On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals. Advantages: - Uses two simple and clear horizontal levels for undervalued and overvalued levels - Signaling 1,3,5,7 correctly as cycle tops - Correctly does not signal 9 as a cycle top - Signaling 4,6,8 correctly as cycle bottoms Caveats: - Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature - In the past, gave some early overvalued signals Usage Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices You can show or hide any of the three indicators individually Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued) Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI Show or hide halving events on the indicator panel All parameters and colours are adjustable
Wskaźnik Pine Script®
od OperationHeadLessChicken
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user. The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market. Key Features: Dynamic correlation calculation between Gold and Bitcoin. Adjustable offset in days (default: 107) to fine-tune the temporal shift. Automatic labels and on-chart visualization. Compatible with multiple timeframes and logarithmic scales. Interpretation: Positive correlation suggests synchronized trends between both assets. Negative correlation signals divergence or rotation of liquidity. The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin. Recommended use: For macro-financial and global liquidity cycle analysis. As a complementary tool in cross-asset momentum strategies. © 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles. This script is for educational purposes only and does not constitute financial advice.
Wskaźnik Pine Script®
od kmanus88
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces. Core Concepts Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders. Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume). Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods: Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses. Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses. Primary Trend Signal The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market. Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period. Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period. The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control. Plotted Data In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis: Net Frequency: Shows the trend in the number of bull vs. bear pulses. Net Amplitude: Shows the trend in the strength of bull vs. bear pulses. Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses. Dynamic Threshold: The adaptive value used to identify pulses. By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
Wskaźnik Pine Script®
od Cmo22
Smooth Theil-SenI wanted to build a Theil-Sen estimator that could run on more than one bar and produce smoother output than the standard implementation. Theil-Sen regression is a non-parametric method that calculates the median slope between all pairs of points in your dataset, which makes it extremely robust to outliers. The problem is that median operations produce discrete jumps, especially when you're working with limited sample sizes. Every time the median shifts from one value to another, you get a step change in your regression line, which creates visual choppiness that can be distracting even though the underlying calculations are sound. The solution I ended up going with was convolving a Gaussian kernel around the center of the sorted lists to get a more continuous median estimate. Instead of just picking the middle value or averaging the two middle values when you have an even sample size, the Gaussian kernel weights the values near the center more heavily and smoothly tapers off as you move away from the median position. This creates a weighted average that behaves like a median in terms of robustness but produces much smoother transitions as new data points arrive and the sorted list shifts. There are variance tradeoffs with this approach since you're no longer using the pure median, but they're minimal in practice. The kernel weighting stays concentrated enough around the center that you retain most of the outlier resistance that makes Theil-Sen useful in the first place. What you gain is a regression line that updates smoothly instead of jumping discretely, which makes it easier to spot genuine trend changes versus just the statistical noise of median recalculation. The smoothness is particularly noticeable when you're running the estimator over longer lookback periods where the sorted list is large enough that small kernel adjustments have less impact on the overall center of mass. The Gaussian kernel itself is a bell curve centered on the median position, with a standard deviation you can tune to control how much smoothing you want. Tighter kernels stay closer to the pure median behavior and give you more discrete steps. Wider kernels spread the weighting further from the center and produce smoother output at the cost of slightly reduced outlier resistance. The default settings strike a balance that keeps the estimator robust while removing most of the visual jitter. Running Theil-Sen on multiple bars means calculating slopes between all pairs of points across your lookback window, sorting those slopes, and then applying the Gaussian kernel to find the weighted center of that sorted distribution. This is computationally more expensive than simple moving averages or even standard linear regression, but Pine Script handles it well enough for reasonable lookback lengths. The benefit is that you get a trend estimate that doesn't get thrown off by individual spikes or anomalies in your price data, which is valuable when working with noisy instruments or during volatile periods where traditional regression lines can swing wildly. The implementation maintains sorted arrays for both the slope calculations and the final kernel weighting, which keeps everything organized and makes the Gaussian convolution straightforward. The kernel weights are precalculated based on the distance from the center position, then applied as multipliers to the sorted slope values before summing to get the final smoothed median slope. That slope gets combined with an intercept calculation to produce the regression line values you see plotted on the chart. What this really demonstrates is that you can take classical statistical methods like Theil-Sen and adapt them with signal processing techniques like kernel convolution to get behavior that's more suited to real-time visualization. The pure mathematical definition of a median is discrete by nature, but financial charts benefit from smooth, continuous lines that make it easier to track changes over time. By introducing the Gaussian kernel weighting, you preserve the core robustness of the median-based approach while gaining the visual smoothness of methods that use weighted averages. Whether that smoothness is worth the minor variance tradeoff depends on your use case, but for most charting applications, the improved readability makes it a good compromise.
Wskaźnik Pine Script®
od The_Peaceful_Lizard
Wick Bias - by TenAMTraderWick Bias - by TenAMTrader Wick Bias helps traders quickly visualize market pressure by analyzing candle wicks and bodies over a user-defined number of bars. By comparing top and bottom wicks, the indicator identifies whether buying or selling pressure has been dominant, providing a clear Indicator Bias signal (Bullish, Bearish, or Neutral). Key Features: Shows Top Wicks %, Bottom Wicks %, and optional Body % for recent candles. Highlights Indicator Bias to indicate short-term market trends. Fully customizable colors for table rows and bias labels. Option to show or hide body percentage. Alerts trigger on bias flips, with optional on-chart labels. Table can be placed in any chart corner. Updates in real-time with each new bar. Recommended Use: Ideal for intraday and swing traders looking for a quick visual cue of short-term market momentum. Can be combined with other technical analysis tools to confirm trade setups or potential reversals. Disclaimer / Legal Notice: This indicator is for educational and informational purposes only. It is not financial advice and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Users are responsible for their own trades. The developer is not liable for any losses or damages resulting from the use of this indicator.
Wskaźnik Pine Script®
od TenAM_Trader
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass. The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments. The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch. The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one. What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form. The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations. The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention. Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks. The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally. This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version. What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
Wskaźnik Pine Script®
od The_Peaceful_Lizard
8
Low Range Predictor [NR4/NR7 after WR4/WR7/WR20, within 1-3Days]Indicator Overview The Low Range Predictor is a TradingView indicator displayed in a single panel below the chart. It spots volatility contraction setups (NR4/NR7 within 1–3 days of WR4/WR7/WR20) to predict low-range moves (e.g., <0.5% daily on SPY) over 2–5 days, perfect for your weekly 15/22 DTE put calendar spread strategy. What You See • Red Histograms (WR, Volatility Climax): • WR4: Half-length red bars, widest range in 4 bars. • WR7: Three-quarter-length red bars, widest in 7 bars. • WR20: Full-length red bars, widest in 20 bars. • Green Histograms (NR, Entry Signals): • NR4: Half-length green bars, only on NR4 days (tightest range in 4 bars) within 1–3 days of a WR4. • NR7: Full-length green bars, only on NR7 days within 1–3 days of a WR7. • Panel: All signals (red WR4/WR7/WR20, green NR4/NR7) show in one panel below the chart, with green bars marking put calendar entry days. Probabilities • Volatility Contraction: • NR4 after WR4: 65–70% chance of daily ranges <0.5% on SPY for 2–5 days (ATR drops 20–30%). Occurs ~2–3 times/month. • NR7 after WR7: 60–65% chance of similar low ranges, less frequent (~1–2 times/month). • Backtest (SPY, 2000–2025): 65% of NR4/NR7 signals lead to reduced volatility (<0.7% daily range) vs. 50% for random days. • Signal Frequency: NR4 signals are more common than NR7, ideal for weekly entries. WR20 provides context but isn’t tied to NR signals.
Wskaźnik Pine Script®
od tobi8853
AUTOMATIC ANALYSIS MODULE🧭 Overview “Automatic Analysis Module” is a professional, multi-indicator system that interprets market conditions in real time using TSI, RSI, and ATR metrics. It automatically detects trend reversals, volatility compressions, and momentum exhaustion, helping traders identify high-probability setups without manual analysis. ⚙️ Core Logic The script continuously evaluates: TSI (True Strength Index) → trend direction, strength, and early reversal zones. RSI (Relative Strength Index) → momentum extremes and technical divergences. ATR (Average True Range) → volatility expansion or compression phases. Multi-timeframe ATR comparison → detects whether the weekly structure supports or contradicts the local move. The system combines these signals to produce an automatic interpretation displayed directly on the chart. 📊 Interpretation Table At every new bar close, the indicator updates a compact dashboard (bottom right corner) showing: 🔵 Main interpretation → trend, reversal, exhaustion, or trap scenario. 🟢 Micro ATR context → volatility check and flow analysis (stable / expanding / contracting). Each condition is expressed in plain English for quick decision-making — ideal for professional traders who manage multiple charts. 📈 How to Use 1️⃣ Load the indicator on your preferred asset and timeframe (recommended: Daily or 4H). 2️⃣ Watch the blue line message for the main trend interpretation. 3️⃣ Use the green line message as a volatility gauge before entering. 4️⃣ Confirm entries with your own strategy or price structure. Typical examples: “Possible bullish reversal” → early accumulation signal. “Compression phase → wait for breakout” → avoid premature trades. “Confirmed uptrend” → trend continuation zone. ⚡ Key Features Real-time auto-interpretation of TSI/RSI/ATR signals. Detects both bull/bear traps and trend exhaustion zones. Highlights volatility transitions before breakouts occur. Works across all assets and timeframes. No repainting — stable on historical data. ✅ Ideal For Swing traders, position traders, and institutional analysts who want automated context recognition instead of manual indicator reading.
Wskaźnik Pine Script®
od LanfryBil
BB_1-44 ББ в одном (4 in 1) BB_1-4 is a multi-timeframe Bollinger Bands indicator that displays four different sets of Bollinger Bands on the price chart with customizable periods, line styles, and transparency levels. Features: - Four Bollinger Bands sets: bb_1 (20), bb_2 (80), bb_3 (160), bb_4 (320) - Customizable period and multiplier for each set - Unique line styles: standard, stepline, and stepline_diamond - Adjustable line transparency for better visibility - No fill between bands for cleaner chart layout Ideal for multi-timeframe analysis, volatility assessment, and support/resistance level identification.
Wskaźnik Pine Script®
od disafi2014
1
RSI Value Table – match builtin🧭 Overview “RSI Value Table – match builtin” displays the exact RSI value (identical to TradingView’s built-in RSI) for any selected timeframe — directly on your chart. It’s designed for professional traders who need quick RSI confirmation without switching panels or opening multiple indicators. ⚙️ Core Logic Reads RSI from any timeframe using request.security() with gaps_off and lookahead_off — ensuring a perfect match with the native RSI. Optional EMA smoothing (non-standard) for visual stability. Color-coded cell: 🟩 Green → RSI > 50 (bullish momentum) 🟥 Red → RSI < 50 (bearish momentum) 🟨 Yellow → Neutral zone around 50 Adjustable table position: top/bottom, left/right corners. ⚡ Alerts Built-in alert conditions trigger automatically: RSI > 50 → bullish momentum confirmation. RSI < 50 → bearish momentum confirmation. 📈 How to Use Select your preferred RSI timeframe (e.g., Daily, Weekly, 4H). Watch the color-coded cell: Green → trade long bias only. Red → short bias only. Ideal as a confirmation module for multi-timeframe systems or smart signal engines.
Wskaźnik Pine Script®
od LanfryBil
Constant Auto Trendlines (Extended Right)📈 Constant Auto Trendlines (Extended Right) This indicator automatically detects market structure by connecting swing highs and lows with permanent, forward-projecting trendlines. Unlike standard trendline tools that stop at the last pivot, this version extends each trendline infinitely into the future — helping traders visualize where price may react next. 🔍 How It Works The script identifies pivot highs and lows using user-defined left/right bar counts. When a new lower high or higher low appears, the indicator draws a line between the two pivots and extends it forward using extend.right. Each new confirmed trendline stays fixed, creating a historical map of structure that evolves naturally with market action. Optional filters: Min Slope – ignore nearly flat trendlines Show Latest Only – focus on the most relevant trendline Alerts – get notified when price crosses the most recent uptrend or downtrend line 🧩 Why It’s Useful This tool helps traders: Spot emerging trends early Identify dynamic support/resistance diagonals Avoid redrawing trendlines manually Backtest structure breaks historically ⚙️ Inputs Pivot Left / Right bars Min slope threshold Line color, width, and style Show only latest line toggle Alert options
Wskaźnik Pine Script®
od rrtaker86
1
Cyclical Phases of the Market🧭 Overview “Cyclical Phases of the Market” automatically detects major market cycles by connecting swing lows and measuring the average number of bars between them. Once it learns the rhythm of past cycles, it projects the next expected cycle (in time and price) using a dashed orange line and a forecast label. In simple terms: The indicator shows where the next potential low is statistically expected to occur, based on the timing and depth of previous cycles. ⚙️ Core Logic – Step by Step 1️⃣ Pivot Detection The script uses the built-in ta.pivotlow() and ta.pivothigh() functions to find local turning points: pivotLow marks a local swing low, defined by pivotLeft and pivotRight bars on each side. Only confirmed lows are used to define the major cycle points. Each new pivot low is stored in two arrays: cycleLows → price level of the low cycleBars → bar index where the low occurred 2️⃣ Cycle Identification and Drawing Every time two consecutive swing lows are found, the indicator: Calculates the number of bars between them (cycle length). If that distance is greater than or equal to minCycleBars, it draws a teal line connecting the two lows — visually representing one complete cycle. These teal lines form the historical cycle structure of the market. 3️⃣ Average Cycle Length Once there are at least three completed cycles, the script calculates the average duration (mean number of bars between lows). This value — avgCycleLength — represents the dominant periodicity or cycle rhythm of the market. 4️⃣ Forecasting the Next Cycle When a valid average cycle length exists, the model projects the next expected cycle: Time projection: Adds avgCycleLength to the last cycle’s ending bar index to find where the next low should occur. Price projection: Estimates the vertical amplitude by taking the difference between the last two cycle lows (priceDiff). Adds this same difference to the last low price to forecast the next probable low level. The result is drawn as an orange dashed line extending into the future, representing the Next Expected Cycle. 5️⃣ Forecast Label An orange label 🔮 appears at the projected future point showing: Text: 🔮 Upcoming Cycle Forecast Price: The label marks the probable area and timing of the next cyclical low. (Note: the date/time calculation currently multiplies bar count by 7 days, so it’s designed mainly for daily charts. On other timeframes, that conversion can be adapted.) 📊 How to Read It on the Chart Visual Element Meaning Interpretation Teal lines Completed historical cycles (low to low) Show actual periodic rhythm of the market Orange dashed line Projection of the next expected cycle Anticipated path toward the next cyclical low Orange label 🔮 Upcoming Cycle Forecast Displays expected price and bar location Average cycle length Internal variable (bars between lows) Represents the dominant cycle period 📈 Interpretation When teal segments show consistent spacing, the market is following a stable rhythm → cycles are predictable. When cycle spacing shortens, the market is accelerating (volatility rising). When it widens, the market is slowing down or entering accumulation. The orange dashed line represents the next expected low zone: If the market drops near this line → cyclical pattern confirmed. If the market breaks well below → cycle amplitude has increased (trend weakening). If the market rises above and delays → a new longer cycle may be forming. 🧠 Practical Use Combine with oscillators (e.g., RSI or TSI) to confirm momentum alignment near projected lows. Use in conjunction with volume to identify accumulation or exhaustion near the expected turning point. Compare across timeframes: weekly cycles confirm long-term rhythm; daily cycles refine short-term entries. ⚡ Summary Aspect Description Purpose Detect and forecast recurring market cycles Cycle basis Low-to-Low pivot analysis Visuals Teal historical cycles + Orange forecast line Forecast Next expected low (price and time) Ideal timeframe Daily Main outputs Average cycle length, next projected cycle, visual cycle map
Wskaźnik Pine Script®
od LanfryBil
1
Trend Pivot Retracements [TradeEasy]▶ OVERVIEW Trend Pivot Retracements identifies market trend direction using a Donchian-style channel and dynamically highlights retracement zones during trending conditions. It calculates the percentage pullbacks from recent highs and lows, plots labeled zones with varying intensity, and visually connects key retracement pivots. The indicator also emphasizes price proximity to trend boundaries by dynamically adjusting the thickness of plotted trend bands. ▶ TREND DETECTION & BAND STRUCTURE The indicator determines the current trend by checking for new 50-bar extremes: Uptrend: If a new highest high is made, the trend is considered bullish. Downtrend: If a new lowest low is made, the trend is considered bearish. Uptrend Band: Plots the 50-bar lowest low as a trailing support level. Downtrend Band: Plots the 50-bar highest high as a trailing resistance level. Thickness Variation: The thickness of the band increases the further price moves from it, indicating overextension. ▶ RETRACEMENT LABELING SYSTEM During a trend, the indicator monitors pivot points in the opposite direction to measure retracements: Bullish Retracement: Triggered when a pivot low forms during an uptrend. Measures % pullback from the most recent swing high (searched up to 20 bars back). Plots a bold horizontal line at the low and a dashed diagonal from the previous swing high. Adds a “-%” label above the low; intensity is based on recent 50 pullbacks. Bearish Retracement: Triggered when a pivot high forms during a downtrend. Measures % pullback from the previous swing low (up to 20 bars back). Plots a bold horizontal line at the high and a dashed diagonal from the prior swing low. Adds a “%” label below the high with gradient color based on the past 50 extremes. ▶ PIVOT CONNECTION LINES Each retracement includes a visual connector: A diagonal dashed line linking the swing extreme (20 bars back) to the retracement point. This line visually traces the path of price retreat within the trend. Helps traders understand where the retracement originated and how steep it was. ▶ TREND SWITCH SIGNALS When trend direction changes: A diamond marker is plotted on the new pivot confirming the trend shift. Green diamonds signal new bullish trends at fresh lows. Magenta diamonds signal new bearish trends at fresh highs. ▶ COLOR INTENSITY & CONTEXTUAL AWARENESS To help interpret the magnitude of retracements: The % labels are color-coded using a gradient scale that references the max of the last 50 pullbacks. Stronger pullbacks result in deeper color intensity, signaling more significant corrections. Trend bands also use standard deviation normalization to adjust line thickness based on how far price has moved from the band. This creates a visual cue for potential exhaustion or volatility extremes. ▶ USAGE Trend Pivot Retracements is a powerful tool for traders who want to: Identify trend direction and contextual pullbacks within those trends. Spot key retracement points that may serve as entry opportunities or reversal signals. Use visual retracement angles to understand market pressure and trend maturity. Read dynamic band thickness as an alert for price stretch, potential mean reversion, or breakout setups. ▶ CONCLUSION Trend Pivot Retracements gives traders a clean, visually expressive way to monitor trending markets, while capturing and labeling meaningful retracements. With adaptive color intensity, diagonal connectors, and smart trend switching, it enhances situational awareness and provides immediate clarity on trend health and pullback strength.
Wskaźnik Pine Script®
od OfficialTradeEasyIO
NWOG/NDOG + EHPDA🌐 ENGLISH DESCRIPTION Hybrid NWOG/NDOG + EHPDA – Advanced Gaps & Event Horizon Indicator (Enhanced with Real-Time Alerts and Info Table) 📊 Overview This advanced indicator combines automatic detection of weekly gaps (NWOG) and daily gaps (NDOG) with the Event Horizon (EHPDA) concept, now featuring customizable alerts and a real-time info table for a more efficient trading experience. Designed for traders who operate based on institutional price structures, liquidity zones, and SMC/ICT confluences. ✨ Key Features 1. Gap Detection & Visualization NWOG (New Week Opening Gap): Identifies and visualizes the gap between Friday’s close and Monday’s open. NDOG (New Day Opening Gap): Detects daily gaps on intraday timeframes. Enhanced visualization: Semi-transparent boxes, price levels (top, middle, bottom), and lines extended to the current bar. Customizable labels: Display gap formation date and price levels (optional). 2. Event Horizon (EHPDA) Automatically calculates the Event Horizon level between two non-overlapping gaps. Dashed line marking the equilibrium zone between bullish and bearish gaps. 3. Advanced 5pm-6pm Mode Special option to detect the Sunday-Monday gap using 4H bars. 4. Real-Time Alerts New gaps (NWOG/NDOG): Immediate notification when a new gap forms. Gap fill: Alert when price completely fills a gap. Event Horizon active: Notification when the Event Horizon level is triggered. 5. Info Table Real-time display: number of active gaps, Event Horizon status, time remaining until weekly/daily close. Customizable: position, size, and style. 🎨 Customization Configurable colors for bullish gaps, bearish gaps, and Event Horizon line. Customizable price labels and date format. 📈 Use Cases Reversal trading, price targets, liquidity zones, SMC/ICT confluences. ⚙️ Recommended Settings Timeframes: Daily and intraday (15m, 1H, 4H, etc.). NWOG: Enable on all timeframes. NDOG: Enable only on intraday. Max Gaps: 3-5 for clean charts, 10-15 for historical analysis. 📝 Important Notes Works best on 24/5 markets (Forex, Crypto). Gaps automatically close when filled. Event Horizon only appears with at least 2 non-overlapping gaps.
Wskaźnik Pine Script®
od CDC_Trading_LABN
Spread Trading Z-ScoreIndicator: Z-Score Spread Indicator Description The "Z-Score Spread Indicator" is a powerful tool for traders employing mean-reversion strategies on the spread between two financial assets (e.g., futures contracts like MNQ and MES). This indicator calculates and plots the Z-score of the price spread, indicating how far the current spread deviates from its historical mean. It features customizable entry and exit thresholds with adjustable offsets, along with an estimated p-value displayed in a table to assess statistical significance. Key Features Asset Selection: Allows users to select two asset symbols (e.g., CME_MINI:MNQ1! and CME_MINI:MES1!) via customizable inputs. Z-Score Calculation: Computes the Z-score based on the spread’s simple moving average and standard deviation over a user-defined lookback period. Customizable Thresholds with Offset: Offers adjustable base entry and exit thresholds, with an optional offset to fine-tune trading levels, plotted as horizontal lines. P-Value Estimation: Provides an approximate p-value to evaluate the statistical significance of the Z-score, displayed in a table anchored to the top-left corner. Visual Representation: Plots the Z-score with a zero line and threshold lines for intuitive interpretation. Adjustable Parameters Asset A Symbol: Symbol for Asset A (default: CME_MINI:MNQ1!). Asset B Symbol: Symbol for Asset B (default: CME_MINI:MES1!). Z-Score Lookback: Lookback period for Z-score calculation (default: 40, minimum 2). Base Entry Threshold: Threshold for entry signals (default: 1.8, adjustable with a step of 0.1). Base Exit Threshold: Threshold for exit signals (default: 0.5, adjustable with a step of 0.1). Threshold Offset (+/-): Offset to adjust entry and exit thresholds symmetrically (default: 0.0, range -5.0 to 5.0, step 0.1). Usage Add the indicator to your chart via the "Indicators" tab. Customize the parameters based on your preferred assets and trading strategy (lookback period, thresholds, offset). Observe the Z-score plot and threshold lines (red for short entry, green for long entry, orange dotted for exits) to identify potential trade setups. Check the p-value table in the top-left corner to assess the statistical significance of the current Z-score. Use this data to inform mean-reversion trading decisions, ideally in conjunction with other indicators. Notes A Z-score above the entry threshold (positive) or below the negative entry threshold suggests a potential short or long entry, respectively. Exits are signaled when the Z-score crosses the exit thresholds. The p-value is an approximation based on the normal distribution; a value below 0.05 typically indicates statistical significance, but further validation is recommended. The indicator uses a simple spread (Asset A - Asset B) without volatility adjustments; consider pairing it with a lots calculator for hedging. Limitations The p-value is an approximation and may not reflect advanced statistical tests (e.g., ADF) due to Pine Script constraints. No automatic trading signals are generated; it provides data for manual analysis. Author Developed by grogusama, October 15, 2025, 07:29 PM CEST.
Wskaźnik Pine Script®
od Grogusama