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SNP420/INDI/support_resist_future_levelFunctionality – short description The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines). Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal). Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes. autor: SNP_420 project: FNXS ps: Piece a love
Pine Script® indicator
by SNP_420
2
Trend BG v2Trend BG v2 colors the chart background based on Directional Movement (DM) and DI strength. It provides an easy visual way to identify trending and non-trending conditions on any timeframe. How It Works The script calculates: Upward Directional Movement (DM+) Downward Directional Movement (DM–) True Range smoothed with RMA (14-period) Positive DI and Negative DI values from classic ADX logic The trend state is determined by comparing +DI vs –DI: +DI > –DI → Uptrend –DI > +DI → Downtrend Otherwise → Neutral / Sideways The script then applies a background color based on the detected trend. Color transparency and theme can be adjusted using the input options. Why This Script Is Useful Instead of plotting DI lines or ADX curves, this version presents the trend directly on the background, making it ideal for: Quick trend recognition Visual filtering of choppy vs trending markets Enhancing manual or automated setups Intraday scalping, positional trend following, and multi-timeframe analysis The background display is subtle, customizable, and does not interfere with other indicators on the chart. Key Features Trend-colored chart background (Up / Down / Neutral) Adjustable color palette and transparency Built using classic Directional Movement logic Works on all markets and all timeframes Lightweight and efficient (no repainting) How to Use It Apply the indicator on your chart and use the background colors to: Align trades with the market trend Avoid trading during neutral or low-momentum periods Confirm trend direction before entries Improve clarity when using your existing indicators This indicator does not generate buy/sell signals by itself; instead, it helps visualize the underlying trend environment so traders can make more informed decisions.
Pine Script® indicator
by Ramesh_G
paigep.llc - SuperMA SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way. The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine. 📌 Core Features 1. Full SMA + EMA Framework The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control. 2. Main Trend Entry & Exit Logic (8×200 and 8×20) Built-in crossover logic detects: Main Entry: SMA 8 crossing above/below EMA 200 Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg) A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins. 3. Pullback Module (20 SMA Interaction) Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions. This includes: Pullback entries through the 20 SMA Pullback exits back across the 20 SMA Labels and candle colors are available for all pullback events. 4. Optional HMA Cross Module A separate module allows traders to use two Hull Moving Averages (HMA) with customizable: Lengths Independent timeframes Line colors Cross-based entries and exits This module has its own events, labels, and optional candle coloring. 5. Advanced Candle Coloring System Candle coloring is layered in priority order, based on: Main trend entries Main exits HMA entries HMA exits Pullback entries Pullback exits Trend-only candles (based on SMA 8 relative to EMA 200) Users may also independently color wicks and borders. 6. Configurable Alerts (Fully Decoupled from Visuals) Alerts are available for all major events, including: Main Entries (8×200) Main Exits (8×20) Pullback Entries and Exits HMA Entries and Exits Bull or Bear Trend candles Any colored candle event Alerts can fire on bar close only or intrabar, depending on user preference. Use Cases SuperMA helps traders visualize: Trend direction using SMA/EMA structure Momentum shifts through HMA crosses Pullback zones around the 20 SMA Early regime transitions based on the 8×200 relationship Candle-level context through color-coded bars The indicator works across all markets and timeframes. ⚠️ Note This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Pine Script® indicator
by paigepllc
1
Fractals Trend [BigBeluga]🔵 OVERVIEW Fractals Trend is a trend-following overlay that leverages fractal swing points to define dynamic support and resistance zones. By storing and averaging recent high and low fractals, it determines trend direction and plots a smooth band that flips depending on market bias—displaying support during uptrends and resistance during downtrends . 🔵 CONCEPTS Fractal Swings: Fractals are identified using a customizable length. A high fractal forms when the current high is the highest in a range; a low fractal when the current low is the lowest. Fractal Memory: The indicator keeps a rolling window of recent high and low fractals inside arrays, limited by the user-defined storage quantity. switch upperF => FracrtalsUpper.push(high ) lowerF => FracrtalsLower.push(low ) FracrtalsUpper.size() > fCount => FracrtalsUpper.shift() FracrtalsLower.size() > fCount => FracrtalsLower.shift() Trend Detection: Price crossing above the average, min/max or median high fractals signals an uptrend; crossing below average, min/max or median low fractals signals a downtrend. Dynamic Band Plotting: Depending on the trend, the script plots the average of either the upper or lower fractals as a trailing support or resistance line. Visual Confirmation: Fractal labels appear as triangle markers at highs and lows, providing additional structural context. 🔵 FEATURES Automatically detects high and low fractals using customizable length. Stores a defined number of fractals to smooth out noise and reduce false signals. Flips trend bias dynamically with colored band and smooth transitions. Plots fractal-based support in bullish trends, resistance in bearish trends. Triangle markers show real-time fractal highs and lows. Fully configurable visuals, color themes, and fractal detection logic. Clean, non-intrusive overlay that works on any market or timeframe. 🔵 HOW TO USE Use the colored band as a directional filter: green = uptrend (support), orange = downtrend (resistance). Combine with entry signals or break/retest strategies when price approaches the band. Use triangle markers to confirm structural swing points. Adjust Fractals Length to tune sensitivity—shorter values detect quicker shifts, longer values reduce noise. Change the fractal bands type to adapt trend detection to different market conditions. Use in conjunction with momentum or volume tools for confluence. 🔵 CONCLUSION Fractals Trend offers a lightweight, intuitive way to track market bias using price structure alone. Its smart switching logic and clean visuals make it a powerful tool for trend traders seeking structure-based dynamic S/R—without laggy moving averages or overcomplicated signals.
Pine Script® indicator
by BigBeluga
3
Trend Line Methods (TLM)Trend Line Methods (TLM) Overview Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis. Method 1 – Pivot Span Trendline The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows. • The script tracks a configurable number of recent pivot highs and lows. • From the oldest and most recent stored pivot highs, it draws an upper trend line. • From the oldest and most recent stored pivot lows, it draws a lower trend line. • An optional filled area can be drawn between the two lines to highlight the active trend span. As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points. Method 2 – 5-Point Straight Channel The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window. Within the selected window: • The window is divided into five segments of similar length. • In each segment, the highest high is used as a representative high point. • In each segment, the lowest low is used as a representative low point. • A straight regression-style line is fitted through the five high points to form the upper boundary. • A second straight line is fitted through the five low points to form the lower boundary. The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market. Inputs & Menus Pivot Span Trendline group (Method 1) • Enable Pivot Span Trendline – Turns Method 1 on or off. • High trend line color / Low trend line color – Colors of the upper and lower trend lines. • Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally. • Trend line thickness – Line width for both high and low trend lines. • Trend line style – Line style (solid, dashed, or dotted). • Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points. • Pivot Count – How many historical pivot points are kept for constructing the trend lines. • Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart. 5-Point Straight Channel group (Method 2) • Enable 5-Point Straight Channel – Turns Method 2 on or off. • High channel line color / Low channel line color – Colors of the upper and lower channel lines. • Channel line thickness – Line width for both channel lines. • Channel line style – Line style (solid, dashed, or dotted). • Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel. Using Both Methods Together Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window. When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan. Notes • This script is meant as an educational and analytical tool for studying trend lines and channels. • It does not generate trading signals and does not replace independent analysis or risk management. • The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
Pine Script® indicator
by ata_sabanci
20
NBarForwardOdds# N Bar Forward Odds ## Description Calculates the probability of a closing price exceeding a closing price at a specified interval away from the current bar. It does this by iterating through a series of intervals (1 to 20) and determining if the closing price of the current bar is greater than the closing price of the bar at that interval. ## Usage: Selectable base interval from the input configuration panel is calculated with a value step in a range `1:20` to get the final interval displayed.
Pine Script® indicator
by RicardoSantos
2
Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model . It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior. 🔵 CONCEPTS Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price. This indicator enhances them with linear regression slope detection , allowing it to forecast how the band may expand or contract in the future. Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars . The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility. ▲ and ▼ markers highlight potential mean reversion points when price crosses the outer bounds of the bands. 🔵 FEATURES Forecast Engine : Uses linear regression to project Bollinger Band movement into the future. Dynamic Channel Width : Adapts standard deviation and slope for realistic volatility modeling. Auto-Labeled Levels : Displays live upper and lower forecast values for quick reference. Cross Signals : Marks potential overbought and oversold zones with ▲/▼ signals when price exits the band. Trend-Adaptive Basis Color : Basis line automatically switches color to represent short-term trend direction. Customizable Colors and Widths for complete visual control. 🔵 HOW TO USE Apply the indicator to visualize both current Bollinger structure and its forward projection. Use ▲/▼ breakout markers to identify short-term reversals or volatility shifts. When price consistently rides the upper band forecast, the trend is strong and likely continuing. When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period. For range traders, outer projected bands can be used as potential mean reversion entry points . Combine with volume or momentum filters to confirm whether breakouts are genuine or fading. 🔵 CONCLUSION Bollinger Bands Regression Forecast transforms classic Bollinger analysis into a predictive forecasting model . By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.
Pine Script® indicator
by BigBeluga
14
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets. What this indicator does The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols. It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution. Core components Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement. Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude. Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups. How it works conceptually 1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish). 2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL. 3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5. 4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation. How to interpret it Above 0: Indicates dominant buying pressure and likely continuation of upward momentum. Below 0: Suggests dominant selling pressure and potential continuation of downward movement. Crosses of 0: Often mark transitions between accumulation and distribution phases. +0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence. [-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling. Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa. Why normalization matters Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can: Compare multiple assets objectively. Set consistent alert thresholds for overbought/oversold regions. Avoid misleading interpretations from absolute oscillator values. Customization and UI Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity. Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more. Visual Toggles: * Show Oscillator : enables or hides the core histogram. * Show Moving Average : adds a smoothed overlay for signal confirmation. * Paint Candles : optional color overlay for chart candles based on oscillator direction. * Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries. How to use it Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one. Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes. Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows). Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent. Alerts Prebuilt alert conditions allow quick automation: Midline crossovers (0): transition between accumulation and distribution. Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion. Signal moving-average crosses for confirmation entries. Tips for use Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns. Use longer normalization periods for position trading, shorter for intraday analysis. In choppy markets, treat 0-line oscillations as noise filters, not trade triggers. Summary The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Pine Script® indicator
by BackQuant
Adaptive Trend Trigger // VX-ATTAdaptive Trend Trigger // VX-ATT is a trend-following bias indicator that combines a baseline EMA with adaptive ATR bands and a momentum override layer. Core idea: The EMA defines the baseline trend. ATR bands above/below the EMA mark zones where volatility is high enough to justify a directional push. A break above the upper band switches the bias to Long. A break below the lower band switches the bias to Short. Strong candle bodies (measured vs. an average body size) can temporarily override the current bias when they close far above/below the EMA (momentum override). What the indicator does: Colors the background based on the active bias (Long/Short). Plots EMA + ATR bands. Marks strong momentum candles with arrows. Provides alerts when the bias flips from Long → Short or Short → Long. Typical use cases: Trend filter for discretionary entries Bias layer for strategies or additional indicators Only trade in the direction of the active bias (e.g., favor Long setups in Long bias, avoid counter-trend scalps) This is a simplified, free component extracted from my VX toolset (VX-ATT), designed as a clean, plug-and-play trend/bias layer you can combine with your own setups.
Pine Script® indicator
by Ikaru-s-
1
XAUUSD Fisher Transform Dashboard — Trend & Momentum InsightsThe script offers an educational visualization of trend and momentum on XAUUSD by combining the Fisher Transform with EMA direction. It plots momentum shifts, trend alignment, and includes a concise dashboard showing trend bias, the latest crossover event, and customizable percentage-based reference markers. This tool is for market analysis and study purposes only and does not provide trading advice.
Pine Script® indicator
by MarkSteve_7
Breakout ScannerThis is a Breakout Scanner that shows you the immediate trend across 4 higher timeframes for up to 10 different tickers. It calculates a score from 1 to 3 for bullish and -1 to -3 for bearish based on where price is currently at compared to the previous higher timeframe’s candle levels. When price is breaking out of the previous higher timeframe candle’s range, then it will have a score of 3 for bullish breakout or -3 for bearish breakout. When price is above the high or below the low of multiple different higher timeframe candles, you can expect price to continue the breakout and move to a new area of price range. The brighter red or green the color is, the stronger the trend is on that timeframe. When it shows a bright green or red box on the far right side of a ticker, it is notifying you that the ticker is bullish or bearish on all timeframes and trending strongly, so switch over to that chart and look to trade in the direction of that trend. The tickers, colors and time frames can be customized to suit your preference and you can also turn off as many tickers or time frames as you’d like if you want less tickers or time frames to show up on the indicator. It also includes alerts for when all timeframes are bullish or all timeframes are bearish for one ticker. Make sure to keep each timeframe set to a timeframe that is higher than your chart timeframe. Bullish Scoring & Colors If the current candle close is above the midline of the higher time frame candle, it is given a score of 1 and a dark green background. If the current candle close is above the higher timeframe candle body, then it is given a score of 2 and a medium green background. If the current candle close is above the high of the higher time frame candle, it is given a score of 3 and a bright green background. The higher the score the stronger the bullish trend and the brighter green the color will be. Bearish Scoring & Colors If the current candle close is below the midline of the higher timeframe candle, it is given a score of -1 and a dark red background. If the current candle close is below the higher timeframe candle body, then it is given a score of -2 and a medium red background. If the current candle close is below the low of the higher timeframe candle, it is given a score of -3 and a bright red background. The lower the score, the stronger the bearish trend and the brighter red the color will be. Total Score Display On the right side of the indicator table, there is a column that displays the total score by adding all the scores together so you can easily tell the overall strength of the trend across all timeframes. Wait for the trend score to be at least 75% of the possible score to trade so you can ensure you are only trading very strong trends and increase your probability of winning your trade. The total score will update according to how many time frames you have enabled in the settings. You can also turn on or off the total score count if you prefer. The default setting is off. All Timeframe Trends Agree When all of the timeframes that you have turned on are in the same direction at the same time, a green or red box will appear on the far right side of the scanner. This is a visual cue that lets you know the strongest trending markets without having to read any of the numbers. Make sure to check out the charts for the markets that have a green or red box on the far right side and look for potential trend trading opportunities. Alerts You can set alerts for when all time frames for a certain ticker are bullish or bearish. If you have some time frames turned off at the time of creating your alerts, then it will only require all time frames that are on to be all bullish or bearish to generate an alert. Make sure to set your alerts to once per bar close to ensure you don’t get premature alerts that aren’t yet valid. Best Way To Use The Scanner For best results, make sure you wait for the trend to show all bullish or all bearish at the same time and then look to trade in the direction of the strong trend. If you can be patient enough to do that, you will increase the probability of winning your trade because you are trading with the direction of the overall higher timeframe trend when the market is trending strongly and making new highs or lows. When one of the markets in the scanner shows all timeframes trending, go to that chart and see how price action is reacting to the previous higher timeframe candle levels. You can see those levels easily by adding our Higher Timeframe Candle Levels indicator to your chart and using the same timeframes as your Breakout Scanner is using. If price is holding the higher timeframe candle levels well, then look to place trades in the direction of the trend that the Breakout Scanner is showing. Other Indicators To Pair This With Use this in combination with our Higher Timeframe Candle Levels indicator so you can see all of these levels being used to calculate the trend strength scores and watch how price reacts to those levels. You should also use our Trend Strength Indicator to easily read the historical trends of price compared to the higher timeframes and use those trends to guide you on when to trade and which direction to trade. Trend Strength Indicator, Higher Timeframe Candle Levels and the Breakout Scanner all use the same levels to calculate the trend scores so they are designed to work all together to help you quickly be able to read a chart and find what direction to trade in.
Pine Script® indicator
by FriendOfTheTrend
4
Trend Strength IndicatorThis is a Trend Strength Indicator that shows you the immediate trend and historical trend of price for up to 7 higher timeframes. It shows the strength of each timeframe by showing a red or green dot based on where price is at compared to the previous higher timeframe candle. The brighter red or green the dot is, the stronger the trend is compared to that higher timeframe candle. The colors and timeframes can be customized to suit your preference and you can also turn off as many timeframes as you’d like if you want less time frames to show up on the indicator. It also includes alerts for when all timeframes are bullish or all timeframes are bearish. Keep these timeframes set to higher time frames than your chart so you can trade in the direction of the overall higher timeframe trend. Bullish Scoring & Colors If the current candle close is above the midline of the higher time frame candle, it is given a score of 1 and a dark green dot. If the current candle close is above the higher timeframe candle body, then it is given a score of 2 and a medium green dot. If the current candle close is above the high of the higher time frame candle, it is given a score of 3 and a bright green dot. The higher the score the stronger the bullish trend and the brighter green the dot will be. Bearish Scoring & Colors If the current candle close is below the midline of the higher timeframe candle, it is given a score of -1 and a dark red dot. If the current candle close is below the higher timeframe candle body, then it is given a score of -2 and a medium red dot. If the current candle close is below the low of the higher timeframe candle, it is given a score of -3 and a bright red dot. The lower the score, the stronger the bearish trend and the brighter red the dot will be. Trend Scoring Modes We gave you the option to set the trend scoring mode to either score based on price above or below the midline for quick and easy trend identification, or using the midline, candle body and highs and lows to give you a more detailed view of the trend strength. You can switch between these modes by selecting your preferred mode in the settings panel. The default is Open, High, Low, Close + Midline. Sending Trend Direction To External Indicators We coded in the ability to use the trend strength score as a signal that you can use to filter other indicators. This feature is great for notifying signal generating indicators what direction the market is trending in so that the signal generating indicator only gives signals in the direction of the trend. This feature works by providing a data output of 1, 0 or -1. 1 means the trend is bullish, 0 means the trend is neutral and -1 means the trend is bearish. This score is calculated by using the score of each timeframe that is turned on and checking if all timeframes are in the same direction or not. So if 3 timeframes are turned on and they are all bullish, the indicator will provide a data output of 1. This tells your external indicators that the trend is bullish. This data output can be found in the data window and is labeled Trend Direction To Send To External Indicators. At the bottom of the settings panel, there is a setting called Trend Score Threshold For External Indicators. This setting is the score threshold that all timeframes will need to meet to allow a trend strength signal to go through. So if set to 1, then all timeframes must be scored 1 or higher for bullish or -1 or lower for bearish. If set to 2, then all timeframes must be 2 or higher for bullish or -2 or lower for bearish. If set to 3, then all timeframes must be 3 for bullish or -3 for bearish. If all timeframes have met this threshold, then a bullish or bearish signal can be sent to your external indicator as a trend filter. Labels There are labels to the right of each row of dots, telling you which timeframe is which so you can easily identify what timeframe each row is showing the trend for. Alerts You can set alerts for when all timeframes are bullish or when all timeframes are bearish. If you have some time frames turned off at the time of creating your alerts, then it will only require all timeframes that are on to be all bullish or bearish to generate an alert. Make sure to set your alerts to once per bar close to ensure you don’t get premature alerts that aren’t yet valid. Backtesting This indicator helps you quickly identify and backtest the trend direction, how strong that trend is on multiple timeframes and helps you spot reversals and trend continuations. Make sure you look back at a lot of historical data to see how price moves when trend changes take place and how well price continues in each direction compared to the overall trend. This will help you gain confidence in reading the indicator and using it to your advantage when trading. Best Way To Use The Indicator This indicator is designed to help you quickly identify the trend on various different timeframes. The brighter the green dots are, the stronger the bullish trend is. The brighter the red dots are, the stronger the bearish trend is. Trade in the direction of the trend. If the colors are mixed green and red, then price is likely to chop back and forth, so only trade the extremes of the ranges when that happens. When most of the lower timeframe dots are the same color, that means it is a strong trend and you should place trades in the direction of the trend to be safe. The lower timeframes will start trending before the higher timeframes, so take notice of the lower timeframe colors starting to agree with each other and then take advantage of the trend that is forming. You can also spot reversals with this indicator by watching for the lower timeframes to start changing color after a strong trend in one direction. The lower timeframes will start to change color one by one, indicating that the trend is actually changing direction. For best results, make sure you wait for the trend to show all bullish or all bearish at the same time before you place any trades. If you can be patient enough to do that, you will increase the probability of winning your trade because you are trading with the direction of the overall higher timeframe trend which is typically an easy way to win more trades. Of course wait for pullbacks during the trend so you can keep a tight stop loss after entering your trade. If you are scalping, you can turn off the higher timeframes and just use the 1 hour through 1 day. This won’t be as reliable as using all timeframes and waiting for them to align, but it is suitable for scalping quick intraday movements. Other Indicators To Pair This With Use this in combination with our Higher Timeframe Candle Levels indicator so you can see all of these levels being used to calculate the trend strength scores and watch how price reacts to those levels. You should also use our Breakout Scanner to find other markets with strong trends so you always know which market is trending the strongest and can trade those. Trend Strength Indicator, Higher Timeframe Candle Levels and the Breakout Scanner all use the same levels and calculate the trend scores the same way so they are designed to work all together to help you quickly be able to read a chart and find what direction to trade in.
Pine Script® indicator
by FriendOfTheTrend
Risk-On / Risk-Off Toolkit [SB1] (NQ, RTY, YM) VIXDescription: The Risk-On / Risk-Off Toolkit is a professional-grade market context indicator designed to help traders quickly identify broad market sentiment shifts and gauge risk appetite. By combining major US equity futures (NQ, RTY, YM) with VIX dynamics, this toolkit provides clear visual signals of “Risk-On” (bullish, lower volatility environment) and “Risk-Off” (bearish, higher volatility environment) conditions. This is ideal for traders using discretionary analysis, swing strategies, intraday scalping, or portfolio positioning decisions. My Personal Thoughts: Utilize all 3 charts to Identify which is Leading and who is lagging between the 3 (NQ, RTY, YM) Key Features: Futures Trend Analysis: Monitors the Nasdaq 100 (NQ), Russell 2000 (RTY), and Dow Jones (YM) futures in real-time. Determines bullish/bearish bias based on each futures contract’s current close relative to its open. Identifies when all three indices are moving in sync, highlighting broad market directional alignment. VIX Confirmation: Integrates the CBOE Volatility Index (VIX) to gauge market risk sentiment. Confirms Risk-On conditions when VIX is falling while all three futures are bullish. Confirms Risk-Off conditions when VIX is rising while all three futures are bearish. Optional background shading visually highlights Risk-On (green) and Risk-Off (red) conditions for quick, intuitive assessment. Strong Body Candle Signals: Detects high conviction candlestick moves where the body represents at least 85% of the total range. Confirms whether the candle closes near its extreme (top for bullish, bottom for bearish) within 15% of the range. Plots arrows for strong bullish or bearish candles: Green triangle-up for bullish strong candles Red triangle-down for bearish strong candles Provides a visual cue for intraday or swing traders to confirm trend momentum without cluttering the chart with labels. Alert System: Alerts can be set for Risk-On alignment: all monitored futures are bullish and VIX is falling. Alerts can also be set for Risk-Off alignment: all monitored futures are bearish and VIX is rising. Ensures traders never miss shifts in broad market sentiment, suitable for both intraday and end-of-day review. Table Summary: Provides a top-right summary table of each monitored market and VIX: Displays Index Name and Current Bias (Bullish/Bearish/Neutral). Highlights bullish conditions in green and bearish conditions in red. Includes VIX status as “↓ Falling”, “↑ Rising”, or “Flat”, providing a quick visual reference of volatility trends. Customizable Visuals: Control the visibility of strong candle arrows. Maintains dynamic bar coloring for strong candle moves (green for bullish, red for bearish). How to Use the Risk-On / Risk-Off Toolkit: Trend Confirmation: Use the alignment of NQ, RTY, and YM to determine whether the overall market environment is bullish or bearish. Risk Sentiment Filter: Use VIX confirmation to identify if traders are in a risk-on or risk-off sentiment. This is especially useful for adjusting position sizing, hedging, or timing entries. Momentum Validation: Strong candle arrows indicate decisive moves, providing additional confirmation for trade entries, breakouts, or trend continuation. Alerts & Visual Cues: Set alerts to be notified whenever Risk-On or Risk-Off conditions are met, helping you act in real-time. Quick Reference: Use the summary table for a bird’s-eye view of market alignment across indices and VIX, avoiding the need to track multiple charts simultaneously. Why This Indicator is Unique: Combines three major US indices with volatility confirmation to identify true macro market sentiment shifts. Provides both visual and alert-based signals for actionable insights. The inclusion of strong candle arrows gives intraday and swing traders a clear, low-latency cue for high-probability moves. Perfect for multi-timeframe analysis and adaptable to both short-term and long-term strategies. Indicator Name Justification: The name “Risk-On / Risk-Off Toolkit ” accurately reflects the core function: identifying broad market risk appetite and sentiment alignment across key indices with volatility confirmation. It communicates instantly that the tool helps traders understand when the market is favoring risk-taking (Risk-On) versus risk-aversion (Risk-Off).
Pine Script® indicator
by samb817
Momentum Swing 1–3 Weeks ✅ Entry (LONG) Conditions Price above EMA9 and SMA20 SMA20 > SMA50 (trend confirmation) MACD above the signal line RSI between 50–65 (healthy momentum) Volume at least 20% above the 20-day average When all conditions align, a LONG signal is generated. ✅ Exit (SELL) Conditions Price closes below EMA9 MACD gives a bearish crossover Or TP/SL levels are hit Position is closed. ✅ Multi-Stage Take Profit TP1: ATR × 1.5 → closes 50% of the position TP2: ATR × 3.0 → closes remaining 50% ✅ Stop Loss ATR × 1.5 dynamic SL ✅ What This Strategy Aims For Catching early trend continuation signals Filtering weak / low-volume breakouts Exiting when momentum fades Eliminating emotional decision-making through rules 📌 Note Backtest performance may vary by symbol and volatility. Proper risk management is strongly recommended.
Pine Script® strategy
by omfado
2
PSAR with ATR Trailing Stop + SMA Filter📈 Strategy Overview: PSAR + 6×ATR Trailing Stop with SMA Filter This strategy is built around the principle of “Cut the losers, let the winners run” — a disciplined, trend-following approach that combines the Parabolic SAR indicator with dynamic risk management and a Simple Moving Average (SMA) trend filter. 🔍 Strategy Logic Trend Filter Trades are only taken in the direction of the prevailing trend, defined by a user-selected SMA (default: 100). ✅ Long trades only when price is above the SMA ✅ Short trades only when price is below the SMA Entry Signal: A trade is triggered when the Parabolic SAR flips to the opposite side of the price bars, signaling a potential trend reversal. Stop Loss: The stop loss is dynamically set at 6×ATR from the entry price. This adapts to market volatility and is recalculated every bar — effectively acting as a trailing stop. Exit Logic: There is no fixed take profit. The trade remains open until the trailing stop is hit — allowing winners to run and losers to be cut quickly. Risk Management: Each trade risks 0.5% of total equity, ensuring consistent position sizing and capital preservation. 📊 Visual Elements PSAR dots mark trend direction changes SMA line shows the broader trend filter Trailing stop crosses (with 50% opacity) indicate the current stop level without cluttering the chart ⚙️ Customizable Inputs PSAR parameters: Start, Increment, Maximum ATR length and multiplier SMA length Risk percentage per trade This strategy is ideal for traders who want to stay aligned with the trend, automate disciplined exits, and avoid emotional decision-making. Clean, simple, and powerful. Wishing you calm and successful trades!
Pine Script® strategy
by kostastrovas
Adaptive Trend SelectorThe Adaptive Trend Selector is a comprehensive trend-following tool designed to automatically identify the optimal moving average crossover strategy. It features adjustable parameters and an integrated backtester that delivers institutional-grade insights into the recommended strategy. The model continuously adapts to new data in real time by evaluating multiple moving average combinations, determining the best performing lengths, and presenting the backtest results in a clear, color-coded table that benchmarks performance against the buy-and-hold strategy. At its core, the model systematically backtests a wide range of moving average combinations to identify the configuration that maximizes the selected optimization metric. Users can choose to optimize for absolute returns or risk-adjusted returns using the Sharpe, Sortino, or Calmar ratios. Alternatively, users can enable manual optimization to test custom fast and slow moving average lengths and view the corresponding backtest results. The label displays the Compounded Annual Growth Rate (CAGR) of the strategy, with the buy-and-hold CAGR in parentheses for comparison. The table presents the backtest results based on the fast and slow lengths displayed at the top: Sharpe = CAGR per unit of standard deviation. Sortino = CAGR per unit of downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Beta (β) = Return sensitivity relative to buy-and-hold. Alpha (α) = Excess annualized risk-adjusted returns. Win Rate = Ratio of profitable trades to total trades. Profit Factor = Total gross profit per unit of losses. Expectancy = Average expected return per trade. Trades/Year = Average number of trades per year. This indicator is designed with flexibility in mind, enabling users to specify the start date of the backtesting period and the preferred moving average strategy. Supported strategies include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA). To minimize overfitting, users can define constraints such as a minimum and maximum number of trades per year, as well as an optional optimization margin that prioritizes longer, more robust combinations by requiring shorter-length strategies to exceed this threshold. The table follows an intuitive color logic that enables quick performance comparison against buy-and-hold (B&H): Sharpe = Green indicates better than B&H, while red indicates worse. Sortino = Green indicates better than B&H, while red indicates worse. Calmar = Green indicates better than B&H, while red indicates worse. Max DD = Green indicates better than B&H, while red indicates worse. Beta (β) = Green indicates better than B&H, while red indicates worse. Alpha (α) = Green indicates above 0%, while red indicates below 0%. Win Rate = Green indicates above 50%, while red indicates below 50%. Profit Factor = Green indicates above 2, while red indicates below 1. Expectancy = Green indicates above 0%, while red indicates below 0%. In summary, the Adaptive Trend Selector is a powerful tool designed to help investors make data-driven decisions when selecting moving average crossover strategies. By optimizing for risk-adjusted returns, investors can confidently identify the best lengths using institutional-grade metrics. While results are based on the selected historical period, users should be mindful of potential overfitting, as past results may not persist under future market conditions. Since the model recalibrates to incorporate new data, the recommended lengths may evolve over time.
Pine Script® indicator
by QuantitativeAlpha
3
Better DEMAThe Better DEMA is a new tool designed to recreate the classical moving average DEMA, into a smoother, more reliable tool. Combining many methodologies, this script offers users a unique insight into market behavior. How does it work? First, to get a smoother signal, we need to calculate the Gaussian filter. A Gaussian filter is a smoothing filter that reduces noise and detail by averaging data with weights following a Gaussian (bell-shaped) curve. Now that we have the source, we will calculate the following: n2 = n/2 (half of the user defined length) a = 2/(1+n) ns Now that we have that out of the way, it is time to get into the core. Now we calculate 2 EMAs: slow EMA => EMA over n fast EMA => EMA over n2 period Rather then now doing this: DEMA = fast EMA * 2 - slow EMA I found this to be better: DEMA = slow EMA * (1-a) + fast EMA * a As a last touch I took a little something from the HMA, and used a EMA with period of √n to smooth the entire the thing. The Trend condition at base is the following (but feel free to FAFO with it): Long = dema > dema yesterday and dema < src Short = dema < dema yesterday and dema > src Methodology While the DEMA is an amazing tool used in many great indicators, it can be far too noisy. This made me test out many filters, out of which the Gaussian performed best. Then I tried out the non subtractive approach and that worked too, as it made it smoother. Compacting on all I learned and smoothing it bit by bit, I think I can say this is worth looking into :). Use cases: Following Trends => classic, effective :) Smoothing sources for other indicators => if done well enough, could be useful :) Easy trend visualization => Added extra options for that. Strategy development => Yes Another good thing is it does not a high lookback period, so it should be better and less overfit. That is all for today Gs, Have fun and enjoy!
Pine Script® indicator
by MisinkoMaster
Reactive Curvature Smoother Moving Average IndicatorSummary in one paragraph RCS MA is a reactive curvature smoother for any liquid instrument on intraday through swing timeframes. It helps you act only when context strengthens by adapting its window length with a normalized path energy score and by smoothing with robust residual weights over a quadratic fit, then optionally blending a capped one step forecast. Add it to a clean chart and watch the single colored line. Shapes can shift while a bar forms and settle on close. For conservative use, judge on bar close. Scope and intent • Markets: major FX pairs, index futures, large cap equities, liquid crypto • Timeframes: one minute to daily • Purpose: reduce lag in trends while resisting chop and outliers • Limits: indicator only, no orders Originality and usefulness • Novelty: adaptive window selection by minimizing normalized path energy with directionality bias, plus Huber weighted residuals and curvature aware penalty, finished with a mintick capped forecast blend • Failure modes addressed: whipsaws from fixed length MAs and outlier spikes that pull means • Testable: Inputs expose all components and optional diagnostics show chosen length, directionality, and energy • Portable yardstick: forecast cap uses mintick to stay symbol aware Method overview in plain language Base measures • Range span of the tested window and a path energy defined as the sum of squared price increments, normalized by span Components Adaptive window chooser: scans L between Min and Max using an energy over trend score and picks the lowest score Robust smoother: fits a quadratic to the last L bars, computes residuals, applies Huber weights and an exponential residual penalty scaled down when curvature is high Forecast blend: projects one step ahead from the quadratic, caps displacement by a multiple of mintick, blends by user weight Fusion rule • Final line equals robust mean plus optional capped forecast blend Signal rule • Visual bias only: color turns lime when close is above the line, red otherwise What you will see on the chart • One colored line that tightens in trends and relaxes in chop • Optional debug overlays for core value, chosen L, directionality, and energy • Optional last bar label with L, directionality, and energy • Reminder: drawings can move intrabar and settle on close Inputs with guidance Setup • Source: price series to smooth Logic • Min window l_min. Typical 5 to 21. Higher increases stability, adds lag • Max window l_max. Typical 40 to 128. Higher reduces noise, adds lag ceiling • Length step grid_step. Typical 1 to 8. Smaller is finer and heavier • Trend bias trend_bias. Typical 0.50 to 0.80. Higher favors trend persistence • Residual penalty lambda_base. Typical 0.8 to 2.0. Higher downweights large residuals more • Huber threshold huber_k. Typical 1.5 to 3.0. Higher admits more outliers • Curvature guard curv_guard. Typical 0.3 to 1.0. Higher reduces influence when curve is tight • Forecast blend lead_blend. 0 disables. Typical 0.10 to 0.40 • Forecast cap lead_limit. Typical 1 to 5 minticks • Show chosen L and metrics show_debug. Diagnostics toggle Optional: enable diagnostics to see length, direction, and energy Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while bars are open and settle on close • Use on standard candles for analysis and combine with your own risk process Honest limitations and failure modes • Very quiet regimes can reduce energy contrast, length selection may hover near the bounds • Gap heavy symbols can disrupt quadratic fit on the window edges • Excessive forecast blend may look anticipatory; use low values and the cap
Pine Script® indicator
by exlux
Portfolio Strategy TesterThe Portfolio Strategy Tester is an institutional-grade backtesting framework that evaluates the performance of trend-following strategies on multi-asset portfolios. It enables users to construct custom portfolios of up to 30 assets and apply moving average crossover strategies across individual holdings. The model features a clear, color-coded table that provides a side-by-side comparison between the buy-and-hold portfolio and the portfolio using the risk management strategy, offering a comprehensive assessment of both approaches relative to the benchmark. Portfolios are constructed by entering each ticker symbol in the menu, assigning its respective weight, and reviewing the total sum of individual weights displayed at the top left of the table. For strategy selection, users can choose between Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), Moving Average Convergence Divergence (MACD), and Volume-Weighted Moving Average (VWMA). Moving average lengths are defined in the menu and apply only to strategy-enabled assets. To accurately replicate real-world portfolio conditions, users can choose between daily, weekly, monthly, or quarterly rebalancing frequencies and decide whether cash is held or redistributed. Daily rebalancing maintains constant portfolio weights, while longer intervals allow natural drift. When cash positions are not allowed, capital from bearish assets is automatically redistributed proportionally among bullish assets, ensuring the portfolio remains fully invested at all times. The table displays a comprehensive set of widely used institutional-grade performance metrics: CAGR = Compounded annual growth rate of returns. Volatility = Annualized standard deviation of returns. Sharpe = CAGR per unit of annualized standard deviation. Sortino = CAGR per unit of annualized downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Beta (β) = Sensitivity of returns relative to benchmark returns. Alpha (α) = Excess annualized risk-adjusted returns relative to benchmark. Upside = Ratio of average return to benchmark return on up days. Downside = Ratio of average return to benchmark return on down days. Tracking = Annualized standard deviation of returns versus benchmark. Turnover = Average sum of absolute changes in weights per year. Cumulative returns are displayed on each label as the total percentage gain from the selected start date, with green indicating positive returns and red indicating negative returns. In the table, baseline metrics serve as the benchmark reference and are always gray. For portfolio metrics, green indicates outperformance relative to the baseline, while red indicates underperformance relative to the baseline. For strategy metrics, green indicates outperformance relative to both the baseline and the portfolio, red indicates underperformance relative to both, and gray indicates underperformance relative to either the baseline or portfolio. Metrics such as Volatility, Tracking Error, and Turnover ratio are always displayed in gray as they serve as descriptive measures. In summary, the Portfolio Strategy Tester is a comprehensive backtesting tool designed to help investors evaluate different trend-following strategies on custom portfolios. It enables real-world simulation of both active and passive investment approaches and provides a full set of standard institutional-grade performance metrics to support data-driven comparisons. While results are based on historical performance, the model serves as a powerful portfolio management and research framework for developing, validating, and refining systematic investment strategies.
Pine Script® indicator
by QuantitativeAlpha
Z-Score Momentum | MisinkoMasterThe Z-Score Momentum is a new trend analysis indicator designed to catch reversals, and shifts in trends by comparing the "positive" and "negative" momentum by using the Z-Score. This approach helps traders and investors get unique insight into the market of not just Crypto, but any market. A deeper dive into the indicator First, I want to cover the "Why?", as I believe it will ease of the part of the calculation to make it easier to understand, as by then you will understand how it fits the puzzle. I had an attempt to create a momentum oscillator that would catch reversals and provide high tier accuracy while maintaining the main part => the speed. I thought back to many concepts, divergences between averages? - Did not work Maybe a MACD rework? - Did not work with what I tried :( So I thought about statistics, Standard Deviation, Z-Score, Sharpe/Sortino/Omega ratio... Wait, was that the Z-Score? I only tried the For Loop version of it :O So on my way back from school I formulated a concept (originaly not like this but to that later) that would attempt to use the Z-Score as an accurate momentum oscillator. Many ideas were falling out of the blue, but not many worked. After almost giving up on this, and going to go back to developing my strategies, I tried one last thing: What if we use divergences in the average, formulated like a Z-score? Surprise-surprise, it worked! Now to explain what I have been so passionately yapping about, and to connect the pieces of the puzzle once and for all: The indicator compares the "strength" of the bullish/bearish factors (could be said differently, but this is my "speach bubble", and I think this describes it the best) What could we use for the "bullish/bearish" factors? How about high & low? I mean, these are by definitions the highest and lowest points in price, which I decided to interpret as: The highest the bull & bear "factors" achieved that bar. The problem here is comparison, I mean high will ALWAYS > low, unless the asset decided to unplug itself and stop moving, but otherwise that would be unfair. Now if I use my Z-score, it will get higher while low is going up, which is the opposite of what I want, the bearish "factor" is weaker while we go up! So I sat on my ret*rded a*s for 25 minutes, completly ignoring the fact the number "-1" exists. Surprise surprise, multiplying the Z-Score of the low by -1 did what I wanted! Now it reversed itself (magically). Now while the low keeps going down, the bear factor increases, and while it goes up the bear factor lowers. This was btw still too noisy, so instead of the classic formula: a = current value b = average value c = standard deviation of a Z = (a-b)/c I used: a = average value over n/2 period b = average value over n period c = standard deviation of a Z = (a-b)/c And then compared the Z-Score of High to the Z-Score of Low by basic subtraction, which gives us final result and shows us the strength of trend, the direction of the trend, and possibly more, which I may have not found. As always, this script is open source, so make sure to play around with it, you may uncover the treasure that I did not :) Enjoy Gs!
Pine Script® indicator
by MisinkoMaster
Volume Delta [BigBeluga]🔵 OVERVIEW The Volume Delta indicator visualizes the dominance between buying and selling volume within a given period. It calculates the percentage of bullish (buy) versus bearish (sell) volume, then color-codes the candles and provides a real-time dashboard comparing delta values across multiple currency pairs. This makes it a powerful tool for monitoring order-flow strength and intermarket relationships in real time. 🔵 CONCEPTS Each bar’s buy volume is counted when the close is higher than the open. Each bar’s sell volume is counted when the close is lower than the open. volumeBuy = 0. volumeSell = 0. for i = 0 to period if close > open volumeBuy += volume else volumeSell += volume The indicator sums both over a chosen period to calculate the ratio of buy-to-sell pressure. Delta (%) = (Buy Volume ÷ (Buy Volume + Sell Volume)) × 100. Gradient colors highlight whether buying or selling pressure dominates. 🔵 FEATURES Calculates real-time Volume Delta for the selected chart or for multiple assets. Colors candles dynamically based on the delta intensity (green = buy pressure, red = sell pressure). Displays a dashboard table showing volume delta % for up to five instruments. The dashboard features visual progress bars for quick intermarket comparison. An optional Delta Bar Panel shows the ratio of Buy/Sell volumes near the latest bar. A floating label shows the exact Buy/Sell percentages. Works across all symbols and timeframes for multi-asset delta tracking. 🔵 HOW TO USE When Buy % > Sell % , it often signals bullish momentum or strong accumulation—but can also indicate over-excitement and a possible market top. Market Tops When Sell % > Buy % , it typically reflects bearish pressure or distribution—but may also occur near a market bottom where selling exhaustion forms. Market Bottom Use the Dashboard to compare volume flow across correlated assets (e.g., major Forex pairs or sector groups). Combine readings with trend or volatility filters to confirm whether the imbalance aligns with broader directional conviction. Treat the Delta Bar visualization as a real-time sentiment gauge—showing which side (buyers or sellers) dominates the current session. 🔵 CONCLUSION Volume Delta transforms volume analysis into an intuitive directional signal. By quantifying buy/sell pressure and displaying it as a percentage or color gradient, it provides traders with a clearer picture of real-time volume imbalance — whether within one market or across multiple correlated instruments.
Pine Script® indicator
by BigBeluga
7