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Custom Session Hi-Low [crlmx] Overview Custom Timeframe High/Lows extensions for any intraday window. Use this to mark sessions Initial Balance (opening 60min), the first 30 or 15min (for Open-Range-Breakout strategy). Key Features - Custom session time input (e.g., 0900-1000, 1430-1445) - High/Low extension lines from session end to midnight - Toggle individual weekdays - Streamlined inputs/UI brought to you by crlmx Trading Applications - Use session open high/low as key levels for the day - Use session high/low as support/resistance day/week - Track specific windows: New York, London, Asia open/close 60min - Breakout above/below can signal directional bias - Range holds indicate consolidation NY Open (UTC): 1430-1530 | Days: Mon-Fri | Chart: 1-15min London Open (UTC): 0800-0900 | Days: Mon-Fri | Chart: 1-15min Asia Session (UTC): 0000-0600 | Days: Mon-Fri | Chart: 15min-1H Version History v1.19 (Latest - 09 Feb 2026) - Custom session time window - Weekday selection (Mon-Fri default) - High/Low extension lines to cap at midnight
Wskaźnik Pine Script®
od crlmx
Levels [BeNice] Levels is a precision mapping tool for traders who rely on High Timeframe (HTF) levels to define their daily bias. It automates the process of marking Open, High, Low, and Equilibrium (EQ) levels across all major lookback periods. 💎 Key Functionalities Dynamic HTF Mapping: Supports Yearly, Quarterly, Monthly, Weekly, Daily, and H4 timeframes. Monday Range Specialist: Specifically tracks Monday's price action, a vital zone for setting the weekly narrative. EQ (Equilibrium) Tracking: Automatically plots the mid-point of any given period, helping you identify Discount and Premium zones instantly. Clean UI Logic: Features a built-in "anti-overlap" array system. If multiple levels occupy the same price point, the script optimizes the visuals to keep your chart professional and readable. Full Customization: Control line styles (Solid, Dotted, Dashed), colors, text sizes, and line extensions to fit your personal chart aesthetic. 💡 Pro Trading Tip Use these levels as Liquidity Targets or Points of Interest (POI). When price interacts with a Prev. Weekly High or a Monthly Open, look for the Reversal Pro+ SFP signals to confirm high-probability trade entries.
Wskaźnik Pine Script®
od sinanbinay
Session Open Tines (Tokyo, London, NY, most recent ones only)Description Draws infinite vertical lines at the Tokyo (Green), London (Blue), and New York (Red) opens. The script automatically deletes previous lines, keeping your chart clean with only the most recent open for each session displayed. How to Use Add to Chart: Works best on intraday timeframes (1m, 5m, 15m, 1h). Adjust Time: Go to Settings > Inputs to match your broker's time or strategy (Defaults are in UTC). Visuals: Lines are solid and extend vertically across the entire chart.
Wskaźnik Pine Script®
od prater18
ORB | Feng FuturesThe ORB | Feng Futures indicator automatically detects the Opening Range Breakout (ORB) for each trading session, plotting the High, Low, and Midline in real time. This tool is built for futures traders who rely on ORB structure to confirm trends, identify breakout zones, and recognize reversal areas early in the session. Features: • Auto-calculated ORB High, Low, and Midline • Multi-timezone session support (NY, Chicago, London, Tokyo, etc.) • Customize ORB time range and time window for display • Real-time updating lines that freeze at session close • Optional labels with customizable size, color, and offset • Save and view multiple previous ORB sessions • Full color customization for all levels • Automatically hides on higher timeframes (Daily+) to reduce clutter • Works on ES, NQ, and all intraday futures charts • Works on stocks, crypto, forex, and other tradeable assets where ORB is applicable Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading futures involves significant risk and may not be suitable for all investors. Always do your own research and use proper risk management.
Wskaźnik Pine Script®
od ericfengg
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making. At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support. The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned. The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels. The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Wskaźnik Pine Script®
od musashibruno
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making. At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support. The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned. The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels. The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Wskaźnik Pine Script®
od musashibruno
CK INDEX Strategy Open-source code, Free, No Cost.Aqui está a tradução fiel e técnica para o inglês, ideal para a descrição do seu script no TradingView: ### 1. Requirements (The 3 Principles) 1. **Study** the code. 2. **Modify** the code. 3. **Distribute** copies or derivative versions (respecting the original credits). Description: Direction and Strength — CK Index The **CK Index** is a composite indicator formed by the conceptual sum of two CCIs and the PVT (Price Volume Trend) with an arithmetic mean. Its function is to simultaneously validate direction and accumulated flow. For a **buy operation**, both CCIs must be above zero, indicating bullish dominance across different time horizons, and the PVT must be above its average. For a **sell operation**, the CCIs must be below zero and the PVT below its average. It is important to emphasize that it acts as an **entry trigger**: the candle will turn **blue** to indicate a buy, **yellow** for a sell, and **white** when there is neutrality (meaning the color will be white when there is no clear definition—these are my personal settings). In its default form, it uses **green, red, and gray**, respectively. Good trades, and make the world a better and freer place!
Strategia Pine Script®
od musashibruno
Volatility Squeeze Pro [JOAT] Volatility Squeeze Pro — Advanced Volatility Compression Analysis System This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis. Why This Combination Provides Unique Analytical Value Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches: 1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average 2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges 3. **Directional Momentum**: Measures where price sits within its recent range The problem with using these individually: - Standard deviation alone doesn't account for intraday volatility - ATR alone doesn't consider closing price clustering - Momentum alone doesn't provide volatility context - No single measurement captures the complete volatility picture This indicator's originality lies in creating a comprehensive volatility analysis system that: **Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup **Provides Momentum Context**: Shows directional bias during compression periods **Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system **Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types Technical Innovation and Originality While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in: 1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system 2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods 3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction 4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration How the Components Work Together Analytically The three components create a comprehensive volatility analysis framework: **Standard Deviation Component**: Measures closing price dispersion around the mean float bbBasis = ta.sma(close, bbLength) float bbDev = bbMult * ta.stdev(close, bbLength) float bbUpper = bbBasis + bbDev float bbLower = bbBasis - bbDev **ATR Channel Component**: Measures actual trading range volatility float kcBasis = ta.ema(close, kcLength) float kcRange = ta.atr(atrLength) float kcUpper = kcBasis + kcRange * kcMult float kcLower = kcBasis - kcRange * kcMult **Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper // This condition indicates closing prices are clustering more tightly // than the typical trading range would suggest **Momentum Context Component**: Provides directional bias during compression float highestHigh = ta.highest(high, momLength) float lowestLow = ta.lowest(low, momLength) float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0) float momSmooth = ta.sma(momentum, smoothLength) The analytical relationship creates a system where: - Squeeze detection identifies WHEN volatility compression occurs - Momentum analysis shows WHERE price is positioned during compression - Combined analysis provides both timing and directional context How the Volatility Comparison Works The indicator compares two volatility measurements: Standard Deviation Bands These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract. // Standard deviation bands calculation float bbBasis = ta.sma(close, bbLength) float bbDev = bbMult * ta.stdev(close, bbLength) float bbUpper = bbBasis + bbDev float bbLower = bbBasis - bbDev ATR-Based Channels These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion. // ATR-based channels calculation float kcBasis = ta.ema(close, kcLength) float kcRange = ta.atr(atrLength) float kcUpper = kcBasis + kcRange * kcMult float kcLower = kcBasis - kcRange * kcMult The Squeeze Condition A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels: // Squeeze detection bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper This condition indicates that closing price volatility has compressed relative to the overall trading range. The Momentum Component The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing: // Momentum calculation float highestHigh = ta.highest(high, momLength) float lowestLow = ta.lowest(low, momLength) float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0) float momSmooth = ta.sma(momentum, smoothLength) Positive values indicate price is above the midpoint of its recent range; negative values indicate below. Why Display Both Together The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information: 1. Is volatility currently compressed? (squeeze status) 2. Where is price leaning within the current range? (momentum) These are observations about current conditions, not predictions about future movement. Visual Elements Momentum Histogram — Bars showing momentum value - Green shades: Positive momentum (price above range midpoint) - Red shades: Negative momentum (price below range midpoint) - Brighter colors: Momentum increasing - Faded colors: Momentum decreasing Squeeze Dots — Circles on the zero line - Red: Squeeze condition active - Green: No squeeze condition Release Markers — Triangle markers when squeeze condition ends Dashboard — Current readings and status Color Scheme Squeeze Active — #FF5252 (red) No Squeeze — #4CAF50 (green) Momentum Positive — #00E676 / #81C784 (green shades) Momentum Negative — #FF5252 / #E57373 (red shades) Inputs Standard Deviation Bands: Length (default: 20) Multiplier (default: 2.0) ATR Channels: Length (default: 20) Multiplier (default: 1.5) ATR Period (default: 10) Momentum: Length (default: 12) Smoothing (default: 3) How to Read the Display Red dots indicate the squeeze condition is present Green dots indicate normal volatility relationship Histogram direction shows current momentum bias Histogram color brightness shows whether momentum is increasing or decreasing Alerts Squeeze condition started Squeeze condition ended Squeeze ended with positive momentum Squeeze ended with negative momentum Extended squeeze (8+ bars) Important Limitations and Realistic Expectations Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements Many compression periods do not result in significant price expansion or directional moves Momentum direction during compression does not reliably indicate future breakout direction This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility False signals are common—not every squeeze leads to tradeable price movement Different parameter settings will produce different compression detection sensitivity Market conditions, news events, and fundamental factors often override technical volatility patterns No volatility indicator can predict the timing, direction, or magnitude of future price movements This tool should be used as one component of comprehensive market analysis Appropriate Use Cases This indicator is designed for: - Volatility state analysis and monitoring - Educational study of volatility relationships - Multi-dimensional volatility assessment - Supplementary analysis alongside other technical tools - Understanding market compression/expansion cycles This indicator is NOT designed for: - Standalone trading signal generation - Guaranteed breakout prediction - Automated trading system triggers - Market timing precision - Replacement of fundamental analysis Understanding Volatility Analysis Limitations Volatility analysis, while useful for understanding market conditions, has inherent limitations: - Past volatility patterns do not guarantee future patterns - Compression periods can extend much longer than expected - Expansion periods may be brief and insufficient for trading - External factors (news, fundamentals) often override technical patterns - Different markets and timeframes exhibit different volatility characteristics — Made with passion by officialjackofalltrades
Wskaźnik Pine Script®
od officialjackofalltrades
Vertical Time LinesVertical Time Lines is an indicator that draws vertical lines at specific times of each day on the price chart. ⚙️ Main Features Up to 5 independent time lines Precise hour and minute editing (HH:MM) Individual enable/disable option per line Customizable line color and style Works on any asset and any timeframe 📝 Note Due to Pine Script limitations, the lines are drawn using UTC time, not the time zone configured on the chart. Lines are generated only when a candle exists exactly at the configured minute. If candles for the specified hours and minutes are not visible on the chart, the lines will not be displayed.
Wskaźnik Pine Script®
od MarkiStrategy
Daily contextThis indicator automatically marks the Previous Day’s High and Low, as well as the market’s midnight opening price. These levels are updated at the start of each new trading day and remain visible throughout the entire session. By providing key daily reference points, the indicator helps establish a clear market context and allows traders to immediately understand where price is positioned relative to the previous day’s range and the daily open.
Wskaźnik Pine Script®
od yctrades_
Daily O/C Span (Real Values & SMA Comparison)This Pine Script indicator helps you visualize and track the "momentum" or "strength" of each trading day, and compares it to a recent average. It essentially measures the net movement of the price from when the market opens to when it closes. What the Script Does The script performs the following actions: Calculates Daily Movement: For every single trading day, it calculates the difference between the closing price and the opening price (Close - Open). Plots the "Span": These daily differences are plotted as vertical bars (a histogram) in a separate window below your main price chart. -Green bars mean the stock closed higher than it opened (a strong day). -Red bars mean the stock closed lower than it opened (a weak day). Calculates the Average: It calculates the Simple Moving Average (SMA) of these daily spans over an adjustable period (default is 30 days). Plots the Average Line: A blue line is plotted over the green/red bars, showing the typical magnitude of daily movement. Displays Comparison: A table in the top-right corner provides a quick, real-time numerical comparison of today's span versus the 30-day average span. How It Can Improve Trading This indicator helps you understand the character and conviction of price action, offering several trading insights: Gauging Momentum: It clarifies whether the stock's moves are generally strong and sustained within a day (large spans) or hesitant (small spans). Identifying Trends: During an uptrend, you might expect the average span line to be consistently positive (above zero), and vice versa for a downtrend. A positive average span indicates buyers are consistently closing the day stronger than where they started it. Spotting Reversals: If a stock is in a strong uptrend but you suddenly see a series of large red bars (large negative spans), it could signal a shift in momentum and potential upcoming reversal. Volatility Context: By comparing the current day's bar to the blue average line, you can quickly determine if today is an unusually strong/weak day relative to recent history. In short, it helps you see the underlying buyer/seller conviction within each day, making it easier to gauge the overall market sentiment and anticipate potential shifts.
Wskaźnik Pine Script®
od topefu
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them. > Background The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses. While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars. Directly overlaying these charts is not possible without modification to their sources. By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences. The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring". > Scaling First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day. With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open. Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period. Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open). Since each ticker's data is now tracked based on its opening price, all data is now using the same scale. The scale is simply "% change from open". > Anchoring Now that we have our scaled data, we need to put it onto the chart. Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other. By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages. Congratulations, We have now accurately scaled multiple tickers onto one chart. > Display The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart. Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed. To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled. Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well. > Examples In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart. From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high. In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period. In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side. This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited. Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart. While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script. Enjoy!
Wskaźnik Pine Script®
od SamRecio
1
Aggregated Open InterestAggregates Open Interest data across 10 major crypto exchanges: Binance, Bybit, Kraken, MEXC, Bitget, BingX, Coinbase, Deribit, HTX, and Crypto.com. Displays total market OI with candlesticks on intraday timeframes and a step line on daily+ timeframes. Color-coded: teal for increasing OI, red for decreasing OI. Toggle individual exchanges on/off in settings to customize your view. With this indicator there is no need to be on the perpetual chart of the asset for the open interest to be displayed.
Wskaźnik Pine Script®
od VisioNBG
Precision Candle Marker – OL/OH/OC ScreenerThis indicator highlights high-probability precision candles on any perpetual contract, designed especially for scalpers and short-term traders. It marks three unique candle setups on the 1-minute chart (works on other timeframes too): 🟢 Open = Low (OL) → Strong bullish momentum, buyers took control instantly. 🔴 Open = High (OH) → Strong bearish momentum, sellers took control instantly. 🔵 Open = Close (OC) → Doji / indecision candle, potential reversal or continuation signal. Use cases: Identify breakout entry points in uptrend/downtrend. Filter noise and focus on precision candles. Combine with trend indicators (EMA, VWAP, RSI) for confirmation. This tool is best suited for scalping perpetual contracts (e.g., BTCUSDT, ETHUSDT) but works on any symbol and timeframe.
Wskaźnik Pine Script®
od popularStar56kwb
Open Interest OverlayOpen Interest Overlay Overview This indicator displays Open Interest (OI) data directly on your price chart as an overlay, eliminating the need for separate panes while preserving authentic OI movement patterns. Perfect for traders who want to analyze OI correlations without sacrificing chart real estate. Key Features 📊 Smart Price Scaling • Automatically maps Open Interest values to fit within your chart's price range • Preserves all directional movements, timing, and relative magnitude relationships • Uses official TradingView Open Interest feed for accuracy 🎨 Full Customization • Custom Colors: Choose your own colors for rising/falling OI (defaults: teal/red) • Line Style: Toggle between step-line (traditional) or smooth line display • Optional Fill: Shade area between OI line and mid-price for better visual reference • Smoothing Options: Apply moving average smoothing to reduce noise ⚙️ Intelligent Settings • Normalization Window: 300-bar lookback (customizable) for scaling calculations • Auto Timeframe: Uses daily data for intraday charts on traditional assets, chart timeframe for crypto • Real Value Display: Shows actual (unscaled) OI value on the last bar How It Works The indicator performs proportional mapping of Open Interest data: 1. Calculates OI range (high/low) over the lookback period 2. Maps this range to your chart's price range during the same period 3. Displays OI movements that maintain authentic patterns and timing Perfect For ✅ Correlation Analysis - See how OI moves with price in real-time ✅ Divergence Spotting - Identify when OI and price trends diverge ✅ Clean Charts - No need for separate panes or window splitting ✅ Pattern Recognition - Spot OI building/declining during key price levels ✅ Cross-Market Analysis - View any symbol's OI overlay on your current chart (e.g., Bitcoin OI while viewing Ethereum prices) What You Get vs Traditional OI Indicators Advantages: • Authentic OI movement patterns preserved • Direct visual correlation with price action • No chart real estate sacrifice • Immediate trend and divergence recognition Trade-offs: • Shows relative OI changes rather than absolute values • Scaling is relative to the selected lookback period Ideal For • Day traders monitoring intraday OI flow • Swing traders analyzing OI trends with price movements • Futures traders tracking institutional interest • Anyone wanting clean, correlation-focused OI analysis Compatible With • Futures contracts with Open Interest data • Any timeframe (auto-adjusts for optimal data) • All TradingView-supported OI symbols
Wskaźnik Pine Script®
od geneclash