Rozpocznij

Wyszukaj w skryptach "oscillator"

Dual Purpose Pine Based CorrelationThis is my "Pine-based" correlation() function written in raw Pine Script. Other names applied to it are "Pearson Correlation", "Pearson's r", and one I can never remember being "Pearson Product-Moment Correlation Coefficient(PPMCC)". There is two basic ways to utilize this script. One is checking correlation with another asset such as the S&P 500 (provided as a default). The second is using it as a handy independent indicator correlated to time using Pine's bar_index variable. Also, this is in fact two separate correlation indicators with independent period adjustments, so I guess you could say this indicator has a dual purpose split personality. My intention was to take standard old correlation and apply a novel approach to it, and see what happens. Either way you use it, I hope you may find it most helpful enough to add to your daily TV tool belt. You will notice I used the Pine built-in correlation() in combination with my custom function, so it shows they are precisely equal, even when the first two correlation() parameters are reversed on purpose or by accident. Additionally, there's an interesting technique to provide a visually appealing line with two overlapping plot()s combined together. I'm sure many members may find that plotting tactic useful when a bird's nest of plotting is occurring on the overlay pane in some scenarios. One more thing about correlation is it's always confined to +/-1.0 irregardless of time intervals or the asset(s) it is applied to, making it a unique oscillator. As always, I have included advanced Pine programming techniques that conform to proper "Pine Etiquette". For those of you who are newcomers to Pine Script, this code release may also help you comprehend the "Power of Pine" by employing advanced programming techniques in Pine exhibiting code utilization in a most effective manner. One of the many tricks I applied here was providing floating point number safeties for _correlation(). While it cannot effectively use a floating point number, it won't error out in the event this should occur especially when applying "dominant cycle periods" to it, IF you might attempt this. NOTICE: You may have observed there is a sqrt() custom function and you may be thinking... "Did he just sick and twistedly overwrite the Pine built-in sqrt() function?" The answer is... YES, I am and yes I did! One thing I noticed, is that it does provide slightly higher accuracy precision decimal places compared to the Pine built-in sqrt(). Be forewarned, "MY" sqrt() is technically speaking slower than snail snot compared to the native Pine sqrt(), so I wouldn't advise actually using it religiously in other scripts as a daily habit. It is seemingly doing quite well in combination with these simple calculations without being "sluggish". Lastly, of course you may always just delete the custom sqrt() function, via Pine Editor, and then the script will still operate flawlessly, yet more efficiently. Features List Includes: Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting AND much, much more... You have the source! The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone!
Wskaźnik Pine Script®
od ImmortalFreedom
6
Elder's force index impulseForce Index is an oscillator. It combines volume with prices to discover the force of bulls or bears behind every rally or decline. It brings together three essential pieces of information the direction of price change, its extent, and the volume during that change. It provides a practical way of using volume for making trading decisions. Force Index can be used in its raw form, but its signals stand out much more clearly if we smooth it with a moving average. Using a short EMA of Force Index helps pinpoint entry and exit points. Using a longer EMA helps confirm trends. Efi long > 0 (bullish trend) and efi short < 0 = buy signal (green bar) Efi long < 0 (bear trend) and efi short>0 = sell signal (red bar)
Wskaźnik Pine Script®
od Biticon
Inverse Fisher Z-Score Introduction The inverse fisher transform or hyperbolic tangent function is a type os sigmoid function (sometime called squashing function) , those types of functions can rescale a result in a certain range and are widely used in artificial intelligence. More in depth the fisher transform can make the correlation coefficient of a time series normally distributed, in practice if you apply the fisher transform to the correlation coefficient between a time series and a linear function you will end up with an estimate of the z-score of the time series. The inverse transform however can do the contrary, it can take the z-score and transform it into a rough estimate of the correlation coefficient, if your z-score is not smooth then you will have a non-smooth estimate of the correlation coefficient, that's quite nice no ? The Indicator The inverse fisher transform of the z-score will produce results in a range of 1/-1, here however i will rescale in a range of 100/0 because its a standard range for oscillators in technical analysis. Values over 80 indicate an overbought market, under 20 an oversold market. The smooth option in the indicator settings will make the indicator use a linearly weighted moving average as input thus resulting in a smoother result. The indicator with smooth option. Conclusion I presented a new oscillator indicator who use the inverse fisher transform of a z-score. Using the fisher transform and its inverse can give a new shape to your indicator, make sure to control the scale of your indicator before applying the fisher transform, the inverse transform should be applied to values in range of 1/-1 but you can use higher limits (2/-2,3/-3...) , however remember that higher limits will approximate an heavy side step function (square shape) . I hope you will find an use to this indicator. Thanks for reading !
Wskaźnik Pine Script®
od alexgrover
12
Stocks and RSI (IFR e Estocagem)A simple script that promotes a good visualization of the oscillators. It shows a graph with two plots, one of relative strength index and one of stock, painting the red line when overbought and green when oversold. Um script simples mas que promove uma boa visualização dos osciladores. Mostra um gráfico com duas plotagens, uma do índice de força relativa e outra de estocagem, pintando a linha de vermelho quando está sobrecomprado e de verde quando sobrevendido.
Wskaźnik Pine Script®
od igomorf
Fast Z-ScoreIntroduction The ability of the least squares moving average to provide a great low lag filter is something i always liked, however the least squares moving average can have other uses, one of them is using it with the z-score to provide a fast smoothing oscillator. The Indicator The indicator aim to provide fast and smooth results. length control the smoothness. The calculation is inspired from my sample correlation coefficient estimation described here Instead of using the difference between a moving average of period length/2 and a moving average of period length , we use the difference between a lsma of period length/2 and a lsma of period length , this difference is then divided by the standard deviation. All those calculations use the price smoothed by a moving average as source. The yellow version don't divide the difference by a standard deviation, you can that it is less reactive. Both version have length = 200 Conclusion I presented a smooth and responsive version of a z-score, the result could be used to estimate an even faster lsma by using the line rescaling technique and our indicator as correlation coefficient. Hope you like it, feel free to modify it and share your results ! :) Notes I have been requested a lot of indicators lately, from mt4 translations to more complex time series analysis methods, this accumulation of work made that it is impossible for me to publish those within a short period of time, also some are really complex. I apologize in advance for the inconvenience, i will try to do my best !
Wskaźnik Pine Script®
od alexgrover
10
BossHouse - CCI ExtendedBossHouse - CCI Extended ( An Extended version of the Original CCI ). The commodity channel index (CCI) is an oscillator originally introduced by Donald Lambert in 1980. Guideline ________ Lambert's trading guidelines for the CCI focused on movements above +100 and below −100 to generate buy and sell signals. Because about 70 to 80 percent of the CCI values are between +100 and −100, a buy or sell signal will be in force only 20 to 30 percent of the time. When the CCI moves above +100, a security is considered to be entering into a strong uptrend and a buy signal is given. The position should be closed when the CCI moves back below +100. When the CCI moves below −100, the security is considered to be in a strong downtrend and a sell signal is given. The position should be closed when the CCI moves back above −100. Since Lambert's original guidelines, traders have also found the CCI valuable for identifying reversals. The CCI is a versatile indicator capable of producing a wide array of buy and sell signals. CCI can be used to identify overbought and oversold levels. A security would be deemed oversold when the CCI dips below −100 and overbought when it exceeds +100. From oversold levels, a buy signal might be given when the CCI moves back above −100. From overbought levels, a sell signal might be given when the CCI moved back below +100. As with most oscillators, divergences can also be applied to increase the robustness of signals. A positive divergence below −100 would increase the robustness of a signal based on a move back above −100. A negative divergence above +100 would increase the robustness of a signal based on a move back below +100. Trend line breaks can be used to generate signals. Trend lines can be drawn connecting the peaks and troughs. From oversold levels, an advance above −100 and trend line breakout could be considered bullish. From overbought levels, a decline below +100 and a trend line break could be considered bearish. Settings _______ Show 0 line Lenght Source Any help and suggestions will be appreciated. Marcos Issler @ Isslerman marcos@bosshouse.com.br
Wskaźnik Pine Script®
od isslerman
2
APEX - MFI / MA [v1]The Money Flow Index is a volume indicator used for measuring buying and selling pressure. This is done by analyzing both price and volume. The MFI's calculation generates a value that is then plotted as a line that moves within a range of 0-100, making it an oscillator. When the MFI rises, this indicates an increase in buying pressure. When it falls, this indicates an increase in selling pressure. The Money Flow Index can generate several signals, most notably; overbought and oversold conditions and divergences. You are also able to add addition smoothing and or a moving average on top of the MFI. This can help you trade only areas with increasing buying pressure.
Wskaźnik Pine Script®
od QuantTherapy
1
Ehlers Cycle StrategyThis uses Ehlers methods to create a cycle trading strategy. It finds the dominant cycle in the market, then creates filters out noise to create an oscillator. It then creates a trigger line using momentum to predict a reversal in price. Finally, Ehlers Empirical Mode Discriminator is used to evaluate trends and eliminate trading against the trend. Shout out to HPotter, Everget, and LazyBear for implementing many of Ehlers indicators, which I sampled to create this indicator and strategy.
Strategia Pine Script®
od jwammo12
3
Falling Knives Jagged SpikesThe purpose of this script is to trade with the trend, trade trend continuation, and counter-trend trades. Uptrend is price above 200 ema: Background is green and the bar colors are normal Downtrend is price below 200 ema: Background is red and the bar colors are normal Counter-trend to uptrend--Bar colors are white and the background is purple counter-trend to downtrend--Bar colors are black and the background is aqua. How to use: Uptrend (green background): Only go long Downtrend (red background): only go short Counter-trend to uptrend/downtrend (white bars/black bars): Take counter-trend trade when price is a substantial distance from the 200 EMA. Best if there was a divergence with an oscillator. A lot of times these are just deep pullbacks or rallies. trend continuation: In uptrend, after falling knives, and trend continues up (background turns to green) look to buy, you are getting a great price on the asset. Same for downtrend. Keep in mind that nothing is perfect, and to of-course test everything. Best of luck in all you do. Get money.
Wskaźnik Pine Script®
od NYBKLYN
1
SMA Accumulative DifferenceThis script uses the 7, 25, and 99 SMA's just as Binance does, but take the difference/divergence between price and these SMA's and then sums them over a definable length, to show the size of the positive and negative bubbles forming, to give indication to oversold and overbought conditions and the relative size of these conditions and the relative size of the correction to follow. Effectively its an oscillator. I have not made a Strategy out of it yet as I don't know how to do that on this system yet, and the indicator is still in its experimental stage, so use it at your own risk and discretion.
Wskaźnik Pine Script®
od rthomson
Godmode 3.1.4 - SNOW_CITY SCALPER EDITION - 7/2017 Updates to xSilas Godmode Oscillator published December 19th, 2014 Thanks to LEGION, LAZYBEAR, Ni6HTH4wK, xSilas Updates: Changed default sources to include BITSTAMP and REMOVED BTC-e Changed default lengths for SCALPING SUPREMACY - See Instructions Changed "Caution dots" to RED because YELLOW was hard to see. I mostly Ignore the oscillators and only use the caution dots with this configuration: MOST EFFECTIVE USE: BITSTAMP:BTCUSD BITSTAMP:BTCUSD - Use on 1m charts of your BITMEX swap, yes 1m. I know, but it works better this way. 5m and 15m work best when using on an exchange index. - IF overall 2H trend is DOWN, the 1m godmode on swap CAUTION DOTS appear on the UPPER BOUNDS means good SHORT entry points, and the lower dots suggest a possible reversal and good exit opportunity (not always) - If overall 2H trend is UP, the 1m godmode on swap CAUTION DOTS appear on the LOWER BOUNDS means good LONG entry points, and upper dots suggest possible oversold if they start to round over, again not always. This is ultra simple, and very effective. Default settings for VERY sensitive CAUTION DOT blop: 17,6,4 Use these settings for a slightly less sensitive CAUTION DOT blop: 14,12,9
Wskaźnik Pine Script®
od SNOW_CITY
21
Information Theory Market AnalysisINFORMATION THEORY MARKET ANALYSIS OVERVIEW This indicator applies mathematical concepts from information theory to analyze market behavior, measuring the randomness and predictability of price and volume movements through entropy calculations. Unlike traditional technical indicators, it provides insight into market structure and regime changes. KEY COMPONENTS Four Main Signals: • Price Entropy (Deep Blue): Measures randomness in price movements • Volume Entropy (Bright Blue): Analyzes volume pattern predictability • Entropy MACD (Purple): Shows relationship between price and volume entropy • SEMM (Royal Blue): Stochastic Entropy Market Monitor - overall market randomness gauge Market State Detection: The indicator identifies seven distinct market states: • Strong Trending (SEMM < 0.1) • Weak Trending (0.1-0.2) • Neutral (0.2-0.3) • Moderate Random (0.3-0.5) • High Randomness (0.5-0.8) • Very Random (0.8-1.0) • Chaotic (>1.0) KEY FEATURES Advanced Analytics: • Signal Strength Confluence: 0-5 scale measuring alignment of multiple factors • Entropy Crossovers: Detects shifts between accumulation and distribution phases • Extreme Readings: Identifies statistical outliers for potential reversals • Trend Bias Analysis: Directional momentum assessment Information Dashboard: • Real-time entropy values and market state • Signal strength indicator with visual highlighting • Trend bias with directional arrows • Color-coded alerts for extreme conditions Customizable Display: • Adjustable SEMM scaling (5x to 100x) for optimal visibility • Multiple line styles: Smooth, Stepped, Dotted • 9 table positions with 3 size options • Professional blue color scheme with transparency controls Comprehensive Alert System - 15 Alert Types Including: • Extreme entropy readings (price/volume) • Crossover signals (dominance shifts) • Market state changes (trending ↔ random) • High confluence signals (3+ factors aligned) HOW TO USE Reading the Signals: • Entropy Values > ±25: Strong structural signals • Entropy Values > ±40: Extreme readings, potential reversals • SEMM < 0.2: Trending market favors directional strategies • SEMM > 0.5: Random market favors range/scalping strategies Signal Confluence: Look for multiple factors aligning: • Signal Strength ≥ 3.0 for higher probability setups • Background highlighting indicates confluence • Table shows real-time strength assessment Timeframe Optimization: • Short-term (1m-15m): Entropy Length 14-22, Sensitivity 3-5 • Swing Trading (1H-4H): Default settings optimal • Position Trading (Daily+): Entropy Length 34-55, Sensitivity 8-12 EDUCATIONAL APPLICATIONS Market Structure Analysis: • Understand when markets are trending vs. ranging • Identify accumulation and distribution phases • Recognize extreme market conditions • Measure information content in price movements Information Theory Concepts: • Binary entropy calculations applied to financial data • Probability distribution analysis of returns • Statistical ranking and percentile analysis • Momentum-adjusted randomness measurement TECHNICAL DETAILS Calculations: • Uses binary entropy formula: - • Percentile ranking across multiple timeframes • Volume-weighted probability distributions • RSI-adjusted momentum entropy (SEMM) Customization Options: • Entropy Length: 5-100 bars (default: 22) • Average Length: 10-200 bars (default: 88) • Sensitivity: 1.0-20.0 (default: 5.0, lower = more sensitive) • SEMM Scaling: 5.0-100.0x (default: 30.0) IMPORTANT NOTES Risk Considerations: • Indicator measures probabilities, not certainties • High SEMM values (>0.5) suggest increased market randomness • Extreme readings may persist longer than expected • Always combine with proper risk management Educational Purpose: This indicator is designed for: • Market structure analysis and education • Understanding information theory applications in finance • Developing probabilistic thinking about markets • Research and analytical purposes Performance Tips: • Allow 200+ bars for proper initialization • Adjust scaling and transparency for optimal visibility • Use confluence signals for higher probability analysis • Consider multiple timeframes for comprehensive analysis DISCLAIMER This indicator is for educational and analytical purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making trading decisions. Version: 5.0 Category: Oscillators, Volume, Market Structure Best For: All timeframes, trending and ranging markets Complexity: Intermediate to Advanced
Wskaźnik Pine Script®
od bearbearbull23
Hidden Markov ModelOverview This model uses a Hidden Markov Model to identify and predict market regimes in real-time. It is designed to probabilistically identify market regime changes and predict potential reversal point using a forward algorithm to calculate the probability of a state. Unlike traditional technical indicators that rely on price patterns or moving averages, this HMM analyses the underlying statistical structure of market movements to detect when the market transitions between different behavioural states such as trending, ranging, or volatile periods How it works The HMM assumes that market behavior follows hidden states that aren't directly observable, but can be inferred from observable market data (emissions). The model uses a (somewhat simplified) Bayesian inference to estimate these probabilities. State 0: (Normal Trading): Market continuation patterns, balanced buying/selling State 1: (Top Formation): Exhaustion patterns at price highs State 2: (Bottom Formation): Capitulation patterns at price lows How to use 1) Identify the trend (you can also use it counter-trend) 2) For longing, look for a green arrow. The probability values should be red. For shorting, look for a red arrow. The probability values should be green 3) For added confluence, look for high probability values of above 25%. Advantages and what makes it unique Unlike moving averages or oscillators that react to price changes, the HMM proactively identifies the underlying market structure. This forward-looking approach can signal regime changes before they become apparent in price action, providing traders with an informational edge.
Wskaźnik Pine Script®
od stormeta
3
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \ \Overview\ The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise. \Calculation\ \ \ \Step 1: Weighted Price (P)\ For each bar t, compute a weighted price: ``` Pₜ = Hₜ + Lₜ + 2·Cₜ ``` where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t. Also compute Pₜ₋₁ for the prior bar. \ \Step 2: Raw Range (R)\ Calculate the two‐bar range: ``` Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁) ``` This Rₜ is used indirectly in the exponential dampener below. \ \Step 3: Normalize Volume (VolNorm)\ Compute an EMA of volume over n₁ bars (e.g. n₁=13): ``` EMA_Volₜ = EMA(Volume, n₁)ₜ ``` Then ``` VolNormₜ = Volumeₜ / EMA_Volₜ ``` If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero. \ \Step 4: BuyPower vs. SellPower\ Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically: • If Pₜ > Pₜ₋₁, ``` BuyPowerₜ = (VolNormₜ) / exp ``` otherwise ``` BuyPowerₜ = VolNormₜ. ``` • If Pₜ < Pₜ₋₁, ``` SellPowerₜ = (VolNormₜ) / exp ``` otherwise ``` SellPowerₜ = VolNormₜ. ``` Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10). \ \Step 5: Smooth Buy/Sell Power\ Apply a short EMA (n₂ bars, typically n₂=2) to each: ``` EMA_Buyₜ = EMA(BuyPower, n₂)ₜ EMA_Sellₜ = EMA(SellPower, n₂)ₜ ``` \ \Step 6: Raw Demand Index (DI\_raw)\ ``` DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ ``` A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite. \ \Step 7: Optional EMA Smoothing on DI (DI)\ To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5): ``` DIₜ = EMA(DI_raw, n₃)ₜ. ``` If n₃ = 1, DI = DI\_raw (no further smoothing). \ \Interpretation\ \ \ \Crossing Zero Line\ • DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal. • Crossing from above to below zero signals dominant selling pressure—potential Short signal. \ \DI\_raw vs. DI (EMA)\ • When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating. • When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration). \ \Divergences\ • If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal. • If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce. \ \Volume Confirmation\ • A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves. • Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout. \ \Usage Notes & Warnings\ \ \ \Never Use DI in Isolation\ It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades. \ \Parameter Selection\ • \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier. • \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing. • \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal. \ \Market Adaptation\ Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise. --- \In Summary\ The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Wskaźnik Pine Script®
od TradeQUO
Market Push Meter - CoffeeStyleMarket Push Meter - CoffeeKiller Indicator Guide Welcome traders! This guide will walk you through the Market Push Meter indicator, a sophisticated volume analysis tool developed by CoffeeKiller with the help and assistance of FindBetterTrades that measures and visualizes the ongoing battle between buyers and sellers through volume pressure analysis. 🔔 **Warning: This Is Not a Standard Volume Indicator** 🔔 This indicator analyzes volume pressure in a unique way, combining directional volume with price action to identify market imbalances between buyers and sellers. All credit for the core logic for this indicator goes to FindBetterTrades and his/hers Volume Pressure Histogram (Normalized) (this is my adaptation and style added to that core logic, thus the CoffeeStyle name was added). Core Concept: Volume Pressure Analysis The foundation of this indicator lies in measuring the imbalance between buying and selling volume, providing insights into which market participants are exerting more pressure on price movements. Volume Pressure Columns: Buying vs Selling Force - Positive Green Columns: Net buying pressure - Negative Red Columns: Net selling pressure - Color intensity varies based on pressure strength - Special coloring for new high/low boundaries Marker Lines: Dynamic Support/Resistance - High Marker Line (Magenta): Tracks the highest point reached during buying phases - Low Marker Line (Cyan): Tracks the lowest point reached during selling phases - Creates visual boundaries showing pressure extremes Peak Detection System: - Triangular markers identify significant local maxima and minima - Background highlighting shows important pressure peaks - Helps identify potential reversal points and pressure exhaustion Reference Lines: - Overbought Level: Threshold for extreme selling pressure - Oversold Level: Threshold for extreme buying pressure - Used to identify potential reversal zones Core Components 1. Volume Pressure Calculation - Separation of up-volume and down-volume - Calculation of net volume pressure - Smoothing for consistent visualization - Normalization against total volume for percentage scaling 2. Boundary Tracking System - Automatic detection of highest values in buying phases - Automatic detection of lowest values in selling phases - Step-line visualization of boundaries - Color-coded for easy identification 3. Peak Detection System - Identification of local maxima and minima - Background highlighting of significant peaks - Triangle markers for peak visualization - Zero-line cross detection for trend changes 4. Threshold Settings - Extreme threshold multiplier for identifying significant pressure - Overbought/oversold levels for potential reversals - Dynamic color coding based on pressure intensity - Alert conditions for key pressure levels Main Features Volume Analysis Settings - Customizable volume MA length - Signal smoothing for clearer readings - Optional log scale for handling wide range variations - Adjustable threshold multiplier for sensitivity Visual Elements - Color-coded columns showing pressure direction and strength - Dynamic marker lines for pressure boundaries - Peak triangles for significant turning points - Background highlighting for peak identification - Overbought/oversold reference lines Signal Generation - Zero-line crosses for trend change signals - Boundary breaks for pressure strength - Peak formation for potential reversals - Color changes for pressure direction and intensity - Alert conditions for extreme pressure levels Customization Options - Volume analysis parameters - Marker line visibility and colors - Peak marker display options - Log scale toggle for handling various markets - Overbought/oversold threshold adjustments Trading Applications 1. Trend Identification - Volume pressure crossing above zero: buying pressure emerging - Volume pressure crossing below zero: selling pressure emerging - Column color: indicates pressure direction - Column height: indicates pressure strength - Signal line: confirms overall trend direction 2. Reversal Detection - Peak triangles after extended trend: potential exhaustion - Background highlighting: significant reversal points - Volume pressure approaching marker lines: potential trend change - Color shifts from bright to muted: decreasing pressure - Readings beyond overbought/oversold levels: potential reversal zones 3. Pressure Analysis - Breaking above previous high boundary: accelerating buying pressure - Breaking below previous low boundary: accelerating selling pressure - Special coloring (magenta/cyan): boundary breaks indicating strength - Extreme readings: potential climactic buying/selling 4. Market Structure Assessment - Consecutive higher peaks: strengthening buying structure - Consecutive lower troughs: strengthening selling structure - Peak comparisons: relative strength of pressure phases - Boundary line steps: market structure levels Optimization Guide 1. Volume Analysis Settings - Volume MA Length: Default 25 provides balanced signals - Lower values (10-15): More responsive, potentially noisier - Higher values (30-50): Smoother, fewer false signals - Signal Smoothing Length: Default 8 provides good balance - Lower values: More responsive to pressure changes - Higher values: Smoother trend identification 2. Threshold Settings - Extreme Threshold Multiplier: Default 20.0 - Lower values: More signals, potentially more noise - Higher values: Fewer signals, but more significant - Overbought/Oversold Levels: Defaults at 20/-20 - Adjust based on instrument volatility - Wider settings for more volatile instruments 3. Visual Customization - Marker Line Colors: Adjust for visibility on your chart - Peak Marker Color: Default yellow provides good contrast - Enable/disable background highlights based on preference - Consider log scale for instruments with wide volume ranges 4. Alert Settings - Configure alerts for high buying pressure - Configure alerts for high selling pressure - Set additional alerts for zero-line crosses - Consider timeframe when setting alert sensitivity Best Practices 1. Signal Confirmation - Wait for zero-line crosses to confirm pressure changes - Look for peak formations to identify potential reversals - Check for boundary breaks to confirm strong pressure - Use with price action for entry/exit precision - Consider extreme threshold crossings as significant signals 2. Timeframe Selection - Lower timeframes: more signals, potential noise - Higher timeframes: cleaner signals, less frequent - Multiple timeframes: confirm signals across time horizons - Match to your trading style and holding period 3. Market Context - Strong buying phase: positive columns breaking above marker line - Strong selling phase: negative columns breaking below marker line - Columns approaching zero: potential pressure shift - Columns beyond overbought/oversold: extreme conditions, potential reversal 4. Combining with Other Indicators - Use with trend indicators for confirmation - Pair with price action oscillators for divergence detection - Combine with traditional volume indicators for validation - Consider support/resistance levels with boundary lines Advanced Trading Strategies 1. Boundary Break Strategy - Enter long when volume pressure breaks above previous high marker line - Enter short when volume pressure breaks below previous low marker line - Use zero-line as initial stop-loss reference - Take profits at formation of opposing peaks 2. Peak Trading Strategy - Identify significant peaks with triangular markers - Look for consecutive lower peaks in buying phases for shorting opportunities - Look for consecutive higher troughs in selling phases for buying opportunities - Use zero-line crosses as confirmation 3. Extreme Reading Strategy - Look for volume pressure beyond overbought/oversold levels - Watch for color changes and peak formations - Enter counter-trend positions after confirmed peaks - Use tight stops due to extreme market conditions 4. Volume Color Strategy - Enter long when columns turn bright green (increasing buying pressure) - Enter short when columns turn bright red (increasing selling pressure) - Exit when color intensity fades (decreasing pressure) - Use marker lines as dynamic support/resistance Practical Analysis Examples Bullish Market Scenario - Volume pressure crosses above zero line - Green columns grow in height and intensity - High marker line forms steps upward - Peak triangles appear at local maxima - Background highlights appear at significant buying pressure peaks Bearish Market Scenario - Volume pressure crosses below zero line - Red columns grow in depth and intensity - Low marker line forms steps downward - Peak triangles appear at local minima - Background highlights appear at significant selling pressure troughs Consolidation Scenario - Volume pressure oscillates around zero line - Column colors alternate frequently - Marker lines remain relatively flat - Few or no new peak highlights appear - Pressure values remain small Understanding Market Dynamics Through Market Push Meter At its core, this indicator provides a unique lens to visualize market pressure through volume analysis: 1. Volume Imbalance: By separating and comparing buying volume (up candles) from selling volume (down candles), the indicator provides insights into which side is exerting more pressure in the market. 2. Normalized Pressure: The indicator normalizes volume pressure as a percentage of total volume, making it more comparable across different market conditions and instruments. 3. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of pressure in both directions, helping to identify when markets are making new pressure extremes. 4. Exhaustion Signals: The peak detection system highlights moments where pressure has reached a local maximum or minimum, often precursors to reversals or consolidations. Remember: - Combine signals from volume pressure, marker lines, and peak formations - Use appropriate timeframe settings for your trading style - Customize the indicator to match your visual preferences and market - Consider overall market conditions and correlate with price action This indicator works best when: - Used as part of a comprehensive trading system - Combined with proper risk management - Applied with an understanding of current market conditions - Signals are confirmed by price action and other indicators DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Wskaźnik Pine Script®
od CoffeeKiller
TVMC - Composite Indicator with Technical RatingsDescription: The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making. Key Features: 1. Trend Component (TC): * Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend. * The MACD signal is normalized to a range of -1 to +1 for consistency and clarity. 2. Momentum Component (MC): * Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements. * This component highlights overbought or oversold conditions, which may indicate potential market reversals. 3. Volume Confirmation (VC): * Compares the current trading volume to its moving average over a specified period. * High volume relative to the average confirms the validity of the current trend. 4. Volatility Filter (VF): * Uses ATR (Average True Range) to gauge market volatility. * Adjusts and smooths signals to reduce noise during periods of high volatility. 5. Technical Ratings Integration: * Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both. * Users can choose their preferred source of ratings for enhanced signal confirmation. How It Works: The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role: * Trend: Identifies whether the market is bullish, bearish, or neutral. * Momentum: Highlights the strength of price action. * Volume: Confirms whether the current price action is supported by sufficient trading activity. * Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output. Visualization: 1. Bullish Signals: * The indicator line turns green and remains above the zero line, indicating upward momentum. 2. Bearish Signals: * The indicator line turns red and falls below the zero line, signaling downward momentum. 3. Neutral Signals: * The line is orange and stays near zero, indicating a lack of strong trend or momentum. 4. Zones: * Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively. * A zero line is included for clear separation between bullish and bearish signals. Recommended Usage: * Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts. * Trading Style: Suitable for swing and positional trading. * Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences. Customization Options: * Adjustable weights for Trend, Momentum, and Volume components. * Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods. * Timeframe selection for multi-timeframe analysis. Important Notes: 1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators. 2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code. 3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools. Compliance with TradingView Rules: * The indicator is written in Pine Script version 5, adhering to TradingView’s language standards. * The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality. * No promotional content, links, or unrelated references are included. * The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Wskaźnik Pine Script®
od SuperStrategyINC
2