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Automated Intraday Key LevelsThis indicator is designed for day traders who focus on price action and key support/resistance levels. It automates the morning routine of marking up charts by instantly plotting critical levels from the Previous Day, the Premarket Session, and the Current Live Session. Instead of manually drawing lines every morning, this script dynamically calculates and anchors these levels to the market open, extending them across the trading day for a clean, professional workspace. Key Features 1. Previous Day Context (Static - White Lines) Before the market opens, it is crucial to know where price closed and traded yesterday. Prev High & Low: Major support/resistance boundaries. Prev Close: A magnetic level often used for "Gap Fill" strategies. Prev Open: Provides context on yesterday's directional sentiment. 2. Premarket Session (Static - Orange Lines) The script fetches data from the Extended Trading Hours session (04:00 – 09:30 EST) to identify the overnight range. PM High & Low: A breakout above the PM High or breakdown below the PM Low often signals the start of a trend day. PM Midpoint (Dashed): Represents the overnight equilibrium. Staying above this level indicates early bullish strength. 3. Current Day Stats (Dynamic - Blue Lines) Once the Regular Trading Hours (RTH) begin, the script tracks live price action. Day High (HOD) & Low (LOD): These lines update in real-time as price pushes new extremes. They are thicker to denote their importance as immediate liquidity zones. Day Midpoint (Dashed): Calculated as (High + Low) / 2. This is a dynamic trend filter; price holding above the daily midpoint suggests buyers are in control, while trading below suggests seller dominance. Visual Guide To keep the chart clean and readable, the levels are color-coded: 🟦 Solid Blue (Width 2): Current Day High / Low (The most active levels). 🟦 Dashed Blue: Current Day Midpoint (50% Retracement level). 🟧 Solid Orange: Premarket High / Low. 🟧 Dashed Orange: Premarket Midpoint. ⬜ Solid White: Previous Day Open, High, Low, Close. All lines are anchored to the 09:30 EST start time to keep the pre-market area of your chart uncluttered.
אינדיקטור Pine Script®
מאת ‎ombvexx27‎
Pair Cointegration & Static Beta Analyzer (v6)Pair Cointegration & Static Beta Analyzer (v6) This indicator evaluates whether two instruments exhibit statistical properties consistent with cointegration and tradable mean reversion. It uses long-term beta estimation, spread standardization, AR(1) dynamics, drift stability, tail distribution analysis, and a multi-factor scoring model. 1. Static Beta and Spread Construction A long-horizon static beta is estimated using covariance and variance of log-returns. This beta does not update on every bar and is used throughout the entire model. Beta = Cov(r1, r2) / Var(r2) Spread = PriceA - Beta * PriceB This “frozen” beta provides structural stability and avoids rolling noise in spread construction. 2. Correlation Check Log-price correlation ensures the instruments move together over time. Correlation ≥ 0.85 is required before deeper cointegration diagnostics are considered meaningful. 3. Z-Score Normalization and Distribution Behavior The spread is standardized: Z = (Spread - MA(Spread)) / Std(Spread) The following statistical properties are examined: Z-Mean: Should be close to zero in a stationary process Z-Variance: Measures amplitude of deviations Tail Probability: Frequency of |Z| being larger than a threshold (e.g. 2) These metrics reveal whether the spread behaves like a mean-reverting equilibrium. 4. Mean Drift Stability A rolling mean of the spread is examined. If the rolling mean drifts excessively, the spread may not represent a stable long-term equilibrium. A normalized drift ratio is used: Mean Drift Ratio = Range( RollingMean(Spread) ) / Std(Spread) Low drift indicates stable long-run equilibrium behavior. 5. AR(1) Dynamics and Half-Life An AR(1) model approximates mean reversion: Spread(t) = Phi * Spread(t-1) + error Mean reversion requires: 0 < Phi < 1 Half-life of reversion: Half-life = -ln(2) / ln(Phi) Valid half-life for 10-minute bars typically falls between 3 and 80 bars. 6. Composite Scoring Model (0–100) A multi-factor weighted scoring system is applied: Component Score Correlation 0–20 Z-Mean 0–15 Z-Variance 0–10 Tail Probability 0–10 Mean Drift 0–15 AR(1) Phi 0–15 Half-Life 0–15 Score interpretation: 70–100: Strong Cointegration Quality 40–70: Moderate 0–40: Weak A pair is classified as cointegrated when: Total Score ≥ Threshold (default = 70) 7. Main Cointegration Panel Displays: Static beta Log-price correlation Z-Mean, Z-Variance, Tail Probability Drift Ratio AR(1) Phi and Half-life Composite score Overall cointegration assessment 8. Beta Hedge Position Sizing (Average-Price Based) To provide a more stable hedge ratio, hedge sizing is computed using average prices, not instantaneous prices: AvgPriceA = SMA(PriceA, N) AvgPriceB = SMA(PriceB, N) Required B per 1 A = Beta * (AvgPriceA / AvgPriceB) Using averaged prices results in a smoother, more reliable hedge ratio, reducing noise from bar-to-bar volatility. The panel displays: Required B security for 1 A security (average) This represents the beta-neutral quantity of B required to hedge one unit of A. Overview of Classical Stationarity & Cointegration Methods The principal econometric tools commonly used in assessing stationarity and cointegration include: Augmented Dickey–Fuller (ADF) Test Phillips–Perron (PP) Test KPSS Test Engle–Granger Cointegration Test Phillips–Ouliaris Cointegration Test Johansen Cointegration Test Since these procedures rely on regression residuals, matrix operations, and distribution-based critical values that are not supported in TradingView Pine Script, a practical multi-criteria scoring approach is employed instead. This framework leverages metrics that are fully computable in Pine and offers an operational proxy for evaluating cointegration-like behavior under platform constraints. References Engle & Granger (1987), Co-integration and Error Correction Poterba & Summers (1988), Mean Reversion in Stock Prices Vidyamurthy (2004), Pairs Trading Explanation structured with assistance from OpenAI’s ChatGPT Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
Multi-Timeframe TTM Squeeze Pro with alerts and screenersBased of John Carters TTM Squeeze. Must open the settings and select wether you want to match the timeframe in your chart. This must be done in the pinescreener as well otherwise results will not be correct. --- # **Squeeze Momentum Pro – Enhanced Screener + EMA Cross Alerts** This custom version of the Squeeze Momentum indicator expands the standard TTM-style squeeze with screening and automated alert logic so you can quickly find high-quality setups across many tickers. --- ## **What This Script Does** This indicator plots a three-level squeeze visual similar to TTM Squeeze: Dot meanings in this indicator Orange dot: Strongest squeeze – Bollinger Bands are inside the tightest Keltner level (highest volatility compression). Red dot: Medium squeeze – still compressed, but not as tight as orange. Black dot: Weak squeeze / lowest level of volatility compression. Price is coiling, but not as tight as the higher levels. Green dot (“Fired”): Squeeze has released — Bollinger Bands have expanded out of the channels and momentum is moving. A momentum histogram is plotted to show directional pressure during the squeeze. --- ## **Major Improvements Added** ### **① Screenable Conditions for Stock Scanners** This version includes multiple `alertcondition()` flags so the script can be used as a **Pine Screener inside TradingView**. Currently it can screen for: ✔ Price closing above the 50-SMA ✔ Presence of an **orange (strong) squeeze dot** ✔ 6/20 EMA crossover signals inside a squeeze These can be used inside the TradingView Screener or in watchlists to automatically highlight qualifying tickers. --- ### **② 6/20 EMA Trend Signals (Filtered by Squeeze)** A crossover system was added: * **Bullish Signal:** 6 EMA crosses above 20 EMA * **Bearish Signal:** 6 EMA crosses below 20 EMA But **these signals only trigger if the market is in a red or orange squeeze**, which helps remove noise and focus on valid setups. --- ### **③ Visual Markers Under the Histogram** Whenever an EMA crossover occurs during a squeeze: * A **green up-triangle** is plotted for a bullish cross * A **red down-triangle** for a bearish cross These markers are drawn **below the histogram**, keeping the display clean while still providing quick visual cues. --- ### **④ Fully Non-Repainting Logic** All signals and squeeze calculations are based on standard fully-resolved `ta.*` functions, making the results stable both in backtesting and real-time. --- ## **Who This Script Helps** This version is ideal for: * Traders who use TradingView’s screener and want automated breakout/continuation filtering * Traders who scan large watchlists for squeeze setups * Users who want trend confirmation during volatility compression --- ## **How to Use It** 1. Add the script to your chart 2. Open TradingView Alerts or Screener 3. Select the conditions you want, for example: * *“Orange Squeeze Detected”* * *“Squeeze Fire after 3 squeeze dots* * *“4 REd Dots in a row.”* * *“Buy Alert”* * *“EMA 6/20 Bullish Crossover (Squeeze Only)”* * *“Close Above 50 SMA”* Once active, TradingView will automatically flag symbols that meet the criteria. --- ## **Summary** This enhanced Squeeze Momentum indicator turns the standard TTM-style visual into a **true screening and alert system** by adding: * Multi-level squeezes * EMA trend signals * Screener-compatible alert conditions * Clean visual signals * Non-repainting logic It helps traders quickly locate high-probability setups across any watchlist or market.
אינדיקטור Pine Script®
מאת ‎dbmeyers‎
920 Order Flow SATY ATR//@version=6 indicator("Order-Flow / Volume Signals (No L2)", overlay=true) //====================== // Inputs //====================== rvolLen = input.int(20, "Relative Volume Lookback", minval=5) rvolMin = input.float(1.1, "Min Relative Volume (× avg)", step=0.1) wrbLen = input.int(20, "Wide-Range Lookback", minval=5) wrbMult = input.float(1, "Wide-Range Multiplier", step=0.1) upperCloseQ = input.float(0.60, "Close near High (0-1)", minval=0.0, maxval=1.0) lowerCloseQ = input.float(0.40, "Close near Low (0-1)", minval=0.0, maxval=1.0) cdLen = input.int(25, "Rolling CumDelta Window", minval=5) useVWAP = input.bool(true, "Use VWAP Bias Filter") showSignals = input.bool(true, "Show Long/Short OF Triangles") //====================== // Core helpers //====================== rng = high - low tr = ta.tr(true) avgTR = ta.sma(tr, wrbLen) wrb = rng > wrbMult * avgTR // Relative Volume volAvg = ta.sma(volume, rvolLen) rvol = volAvg > 0 ? volume / volAvg : 0.0 // Close location in bar (0..1) clo = rng > 0 ? (close - low) / rng : 0.5 // VWAP (session) + SMAs vwap = ta.vwap(close) sma9 = ta.sma(close, 9) sma20 = ta.sma(close, 20) sma200= ta.sma(close, 200) // CumDelta proxy (uptick/downtick signed volume) tickSign = close > close ? 1.0 : close < close ? -1.0 : 0.0 delta = volume * tickSign cumDelta = ta.cum(delta) rollCD = cumDelta - cumDelta //====================== // Signal conditions //====================== volActive = rvol >= rvolMin effortBuy = wrb and clo >= upperCloseQ effortSell = wrb and clo <= lowerCloseQ cdUp = ta.crossover(rollCD, 0) cdDown = ta.crossunder(rollCD, 0) biasBuy = not useVWAP or close > vwap biasSell = not useVWAP or close < vwap longOF = barstate.isconfirmed and volActive and effortBuy and cdUp and biasBuy shortOF = barstate.isconfirmed and volActive and effortSell and cdDown and biasSell //====================== // Plot ONLY on price chart //====================== // SMAs & VWAP plot(sma9, title="9 SMA", color=color.orange, linewidth=3) plot(sma20, title="20 SMA", color=color.white, linewidth=3) plot(sma200, title="200 SMA", color=color.black, linewidth=3) plot(vwap, title="VWAP", color=color.new(color.aqua, 0), linewidth=3) // Triangles with const text (no extra pane) plotshape(showSignals and longOF, title="LONG OF", style=shape.triangleup, location=location.belowbar, size=size.tiny, color=color.new(color.green, 0), text="LONG OF") plotshape(showSignals and shortOF, title="SHORT OF", style=shape.triangledown, location=location.abovebar, size=size.tiny, color=color.new(color.red, 0), text="SHORT OF") // Alerts alertcondition(longOF, title="LONG OF confirmed", message="LONG OF confirmed") alertcondition(shortOF, title="SHORT OF confirmed", message="SHORT OF confirmed") //──────────────────────────── // End-of-line labels (offset to the right) //──────────────────────────── var label label9 = na var label label20 = na var label label200 = na var label labelVW = na if barstate.islast // delete old labels before drawing new ones label.delete(label9) label.delete(label20) label.delete(label200) label.delete(labelVW) // how far to move the labels rightward (increase if needed) offsetBars = input.int(3) label9 := label.new(bar_index + offsetBars, sma9, "9 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.orange, 0)) label20 := label.new(bar_index + offsetBars, sma20, "20 SMA", style=label.style_label_left, textcolor=color.black, color=color.new(color.white, 0)) label200 := label.new(bar_index + offsetBars, sma200, "200 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) labelVW := label.new(bar_index + offsetBars, vwap, "VWAP", style=label.style_label_left, textcolor=color.black, color=color.new(color.aqua, 0)) //──────────────────────────────────────────────────────────────────── //──────────────────────────────────────────── // Overnight High/Low + HOD/LOD (no POC) //──────────────────────────────────────────── sessionRTH = input.session("0930-1600", "RTH Session (exchange tz)") levelWidth = input.int(2, "HL line width", minval=1, maxval=5) labelOffsetH = input.int(10, "HL label offset (bars to right)", minval=0) isRTH = not na(time(timeframe.period, sessionRTH)) rthOpen = isRTH and not isRTH // --- Track Overnight High/Low during NON-RTH; freeze at RTH open // --- Track Overnight High/Low during NON-RTH; freeze at RTH open var float onHigh = na var float onLow = na var int onHighBar = na var int onLowBar = na var float onHighFix = na var float onLowFix = na var int onHighFixBar = na var int onLowFixBar = na if not isRTH if na(onHigh) or high > onHigh onHigh := high onHighBar := bar_index if na(onLow) or low < onLow onLow := low onLowBar := bar_index if rthOpen onHighFix := onHigh onLowFix := onLow onHighFixBar := onHighBar onLowFixBar := onLowBar onHigh := na, onLow := na onHighBar := na, onLowBar := na // ────────────────────────────────────────── // Candle coloring + labels for 9/20/VWAP crosses // ────────────────────────────────────────── showCrossLabels = input.bool(true, "Show cross labels") // Helpers minAll = math.min(math.min(sma9, sma20), vwap) maxAll = math.max(math.max(sma9, sma20), vwap) // All three lines goldenAll = open <= minAll and close >= maxAll deathAll = open >= maxAll and close <= minAll // 9/20 only (exclude cases that also crossed VWAP) dcUpOnly = open <= math.min(sma9, sma20) and close >= math.max(sma9, sma20) and not goldenAll dcDownOnly = open >= math.max(sma9, sma20) and close <= math.min(sma9, sma20) and not deathAll // Candle colors (priority: all three > 9/20 only) var color cCol = na cCol := goldenAll ? color.yellow : deathAll ? color.black :dcUpOnly ? color.lime :dcDownOnly ? color.red : na barcolor(cCol) // Labels plotshape(showCrossLabels and barstate.isconfirmed and goldenAll, title="GOLDEN CROSS", style=shape.labelup, location=location.belowbar, text="GOLDEN CROSS", color=color.new(color.yellow, 0), textcolor=color.black, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and deathAll, title="DEATH CROSS", style=shape.labeldown, location=location.abovebar, text="DEATH CROSS", color=color.new(color.black, 0), textcolor=color.white, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and dcUpOnly, title="DC UP", style=shape.labelup, location=location.belowbar, text="DC UP", color=color.new(color.lime, 0), textcolor=color.black, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and dcDownOnly, title="DC DOWN", style=shape.labeldown, location=location.abovebar, text="DC DOWN", color=color.new(color.red, 0), textcolor=color.white, size=size.tiny) // ────────────────────────────────────────── // Audible + alert conditions // ────────────────────────────────────────── alertcondition(goldenAll, title="GOLDEN CROSS", message="GOLDEN CROSS detected") alertcondition(deathAll, title="DEATH CROSS", message="DEATH CROSS detected") alertcondition(dcUpOnly, title="DC UP", message="Dual Cross UP detected") alertcondition(dcDownOnly,title="DC DOWN", message="Dual Cross DOWN detected")
אינדיקטור Pine Script®
מאת ‎jgriffin39nxy‎
Micha Stokes Buyers Breakout Alert v2Buyer Breakout Rules (Word Definition) The alert is triggered when ALL conditions in Section 1 and Section 3 are met, AND one of the two Scenarios in Section 2 is met. 1. The Setup and Breakout (The Initial Requirement) Price Action: The closing price of the current candle must break above the highest resistance level established during the recent period of flat trading (the setup). 2. The Confirmation (Scenario A OR Scenario B) The breakout must be accompanied by evidence of buying strength: Scenario A: High-Conviction Breakout (Immediate Demand) The current candle is GREEN (it closed higher than it opened). AND the volume is HIGHER than the volume of the previous candle. Scenario B: Seller-Exhaustion Breakout (Micha Stokes' Unique Signal) The current candle is GREEN (it closed higher than it opened). AND the volume is LOWER than the volume of the previous candle. (This means the price rose without much seller resistance.) 3. The Strength Filter (Conviction Check) The candle must close near its high, showing that buyers maintained control and didn't face significant selling pressure immediately after the breakout.
אינדיקטור Pine Script®
מאת ‎edry20‎
CNN Fear and Greed StrategyAdaptation of the CNN Fear and Greed Index Indicator (Original by EdgeTools) The following changes have been implemented: Put/Call Ratio Data Source: The data source for the Put/Call Ratio has been updated. Bond Data Source: The data sources for the bond components (Safe Haven Demand and Junk Bond Demand) have been updated. Normalization Adjustment: The normalization method has been adjusted to allow the CNN Fear and Greed Index to display over a longer historical period, optimizing it for backtesting purposes. Style Modification: The display style has been modified for a simpler and cleaner appearance. Strategy Logic Addition: Added a new strategy entry condition: index >= 25 AND index crosses over its 5-period Simple Moving Average (SMA), and a corresponding exit condition of holding the position for 252 bars (days). CNN Fear & Greed Backtest Strategy (Adapted) This script is an adaptation of the popular CNN Fear & Greed Index, originally created by EdgeTools, with significant modifications to optimize it for long-term backtesting on the TradingView platform. The core function of the Fear & Greed Index is to measure the current emotional state of the stock market, ranging from 0 (Extreme Fear) to 100 (Extreme Greed). It operates on the principle that excessive fear drives prices too low (a potential buying opportunity), and excessive greed drives them too high (a potential selling opportunity). Key Components of the Index (7 Factors) The composite index is calculated as a weighted average of seven market indicators, each normalized to a score between 0 and 100: Market Momentum: S&P 500's current level vs. its 125-day Moving Average. Stock Price Strength: Stocks hitting 52-week highs vs. those hitting 52-week lows. Stock Price Breadth: Measured by the McClellan Volume Summation Index (or similar volume/breadth metric). Put/Call Ratio: The relationship between volume of put options (bearish bets) and call options (bullish bets). Market Volatility: The CBOE VIX Index relative to its 50-day Moving Average. Safe Haven Demand: The relative performance of stocks (S&P 500) vs. bonds. Junk Bond Demand: The spread between high-yield (junk) bonds and U.S. Treasury yields. Critical Adaptations for Backtesting To improve the index's utility for quantitative analysis, the following changes were made: Long-Term Normalization: The original normalization method (ta.stdev over a short LENGTH) has been replaced or adjusted to use longer historical data. This change ensures the index generates consistent and comparable sentiment scores across decades of market history, which is crucial for reliable backtesting results. Updated Data Sources: Specific ticker requests for the Put/Call Ratio and Bond components (Safe Haven and Junk Bond Demand) have been updated to use the most reliable and long-running data available on TradingView, reducing data gaps and improving chart continuity. Simplified Visuals: The chart display is streamlined, focusing only on the final Fear & Greed Index line and key threshold levels (25, 50, 75) for quick visual assessment. Integrated Trading Strategy This script also includes a simple, rules-based strategy designed to test the counter-trend philosophy of the index: Entry Logic (Long Position): A long position is initiated when the market shows increasing fear, specifically when the index score is less than or equal to the configurable FEAR_LEVEL (default 25) and the index crosses above its own short-term 5-period Simple Moving Average (SMA). This crossover acts as a confirmation that sentiment may be starting to turn around from peak fear. Exit Logic (Time-Based): All positions are subject to a time-based exit after holding for 252 trading days (approximately one year). This fixed holding period aims to capture the typical duration of a cyclical market recovery following a major panic event.
אסטרטגיית Pine Script®
מאת ‎rwanwan‎
Forward Returns – (Next Month Start)This indicator calculates 1-month, 3-month, 6-month, and 12-month forward returns starting from the first trading day of the month following a defined price event. A price event occurs when the selected asset drops below a user-defined threshold over a chosen timeframe (Day, Week, or Month). For monthly conditions, the script evaluates the entire performance of the previous calendar month and triggers the event only at the first trading session of the next month, ensuring accurate forward-return alignment with historical monthly cycles. The forward returns for each detected event are displayed in a paginated performance table, allowing users to navigate through large datasets using a page selector. Each page includes: Entry Date Forward returns (1M, 3M, 6M, 12M) Average forward return Win rate (percentage of positive outcomes) This tool is useful for studying historical performance after major drawdowns, identifying seasonal patterns, and building evidence-based risk-management or timing models.
אינדיקטור Pine Script®
מאת ‎pcingari‎
ATR Volatility AlertsOverview: This is a dynamic alert tool based on the Average True Range (ATR), designed to help traders detect sudden price movements that exceed normal volatility levels. Whether you are trading breakouts or monitoring for abnormal spikes, this indicator visualizes these events on the chart and triggers system alerts when the price move exceeds your specified ATR multiplier. Key Features: Fully Customizable ATR Range: You can adjust the ATR Length (Default: 14) and the Multiplier (Default: 1.5x). Tip: Increase the multiplier (e.g., to 2.0 or 3.0) to catch only extreme volatility, or lower it for scalping smaller moves. Visual Chart Signals: Visual markers appear instantly when a bar's movement exceeds the ATR threshold. Green Triangle: Indicates an Upward Spike. Red Triangle: Indicates a Downward Spike. Flexible System Alerts: Designed to integrate seamlessly with TradingView's alert system. You can choose from three specific alert directions based on your strategy: 1.Price Spike Up: Triggers only on sharp upward moves. 2.Price Spike Down: Triggers only on sharp downward moves. 3.Bidirectional Volatility Alert: Triggers on BOTH huge pumps and dumps. How to Set Alerts: Click the "Create Alert" button in TradingView. Select ATR Volatility Alerts in the "Condition" dropdown. Choose the specific logic you need: · Select Price Spike Up for bullish monitoring. · Select Price Spike Down for bearish monitoring. · Select Bidirectional Volatility Alert to watch for any volatility expansion.
אינדיקטור Pine Script®
מאת ‎Sewell_‎
TICK Indicator with Extreme AlertsOverview: This indicator is designed to provide intraday traders (especially those trading SPX, ES, and NQ) with a clearer NYSE TICK analysis tool featuring visual alerts. Unlike traditional TICK line charts, this indicator utilizes OHLC Candlesticks to display data, allowing you to fully view the Open, High, Low, and Close within a specific timeframe, thereby capturing instantaneous liquidity sweeps. Core Features & Logic: Candlestick Visualization (OHLC Candles): Uses the USI:TICK.US data source by default. The candlestick patterns allow you to clearly see if the TICK pierced key levels intraday but retraced by the close—vital information that standard line charts often miss. Dual Key Level System: The indicator is designed with two independent reference tiers for trend observation and reversal detection: Reference Lines (+/- 800): Marked by gray dashed lines. These represent the standard bull/bear dividing zones. When TICK sustains above +800 or below -800, it typically indicates a strong trending market. Extreme Alerts (+/- 1000): These thresholds are used to identify extreme market sentiment (overbought/oversold conditions). Background Highlight Alerts (Visual Alerts): To reduce screen-watching fatigue, the indicator automatically highlights the candlestick background when extreme market sentiment occurs: Green Background: Triggered when TICK High breaks above +1000. Represents extreme buying sentiment, potentially indicating exhaustion or a short squeeze. Red Background: Triggered when TICK Low drops below -1000. Represents extreme panic selling (Washout), often serving as a potential signal for an intraday reversal or a short-term bottom. Custom Settings: All thresholds (800 reference lines, 1000 alert lines) are fully adjustable in the settings. All colors (Candles, Reference Lines, Background Alert Colors) can be customized. Use Cases: This tool is ideal for intraday counter-trend or trend-following trading when combined with Price Action analysis and key Support & Resistance levels.
אינדיקטור Pine Script®
מאת ‎Sewell_‎
Dobrusky Pressure CoreWhat it does & who it’s for Dobrusky Pressure Core is a volume by time replacement for traders who care about which side actually controls each bar. Instead of just plotting total volume, it splits each bar into estimated buy vs sell pressure and overlays a custom, session-aware volume baseline. It’s built for discretionary traders who want more nuanced volume context for entries, breakouts, and pullbacks. Core ideas Buy/sell pressure split: Each bar’s volume is broken into estimated buying and selling pressure. Dominant side highlighting: The dominant side (buy or sell) is always displayed starting from the bottom of the bar, so you can quickly see who “owned” that bar. Median-based baseline: Uses the median of the last N bars (50 by default) to build a robust volume baseline that’s less sensitive to one-off spikes. Session-aware behavior: Baseline is calculated from Regular Trading Hours (RTH) by default, with an option to include Extended Hours (ETH) and a control to force Regular data on higher timeframes. Volume regimes: Three multipliers (1x, 1.5x, 2x by default) show normal, high, and extreme volume regions. Flexible display: Baseline can be shown as lines or as columns behind the volume, with full color customization. How the pressure logic works For each bar, the script: Adjusts the range for gaps relative to the prior close so the “true” traded range is more consistent. Computes buy pressure as a proportion of the adjusted range from low to close. Defines sell pressure as: total volume minus buy pressure. Marks the bar as buy-dominant if buy pressure ≥ sell pressure, otherwise sell-dominant, and colors the dominant side from the bottom to at least the midpoint using the selected buy/sell colors. In practice, this turns basic volume columns into bars where the internal split and dominant side are clearly visible, helping you judge whether aggressive buyers or sellers truly controlled the bar instead of just looking at the price action. Volume baseline & session logic The script builds a session-aware baseline from recent volume: Baseline length: A rolling window (default 50 bars) is used to compute a median volume value instead of a simple moving average. RTH-only by default: By default, the baseline is built from Regular Trading Hours bars only. During extended hours, the baseline effectively “freezes” at the last RTH-derived value unless you choose to include extended session data. Extended mode: If you select Extended mode, the script builds separate rolling baselines for RTH and ETH trading, using the appropriate one depending on the current session. Force Regular Above Timeframe: On timeframes equal to or higher than your chosen threshold, the baseline automatically uses Regular session data, even if Extended is selected. Multipliers: Three adjustable multipliers (1x, 1.5x, 2x by default) create normal, high, and extreme volume bands for quick identification. This lets you choose whether you want a pure RTH reference or a baseline that adapts to extended-session activity. Example ways to use it 1. Replace standard volume bars Add Dobrusky Pressure Core to your volume pane and hide the default volume if you prefer a clean look. Use the colors and split to see at a glance whether buyers or sellers were dominant on each bar. 2. Pressure confirmation for entries For longs (example concept; adapt to your own rules): Require that the entry bar’s buy pressure is greater than the previous bar’s sell pressure , or If the entry and prior bar are both buy-dominant, require that the entry bar has more buy pressure than the prior bar. This helps avoid taking a long when buying pressure is clearly fading relative to what sellers recently showed. A mirrored idea can be used for short setups with sell pressure. 3. Context from baseline multipliers Use ~1x baseline as “normal” volume. Watch for bars at or above 1.5x baseline when you want to see increased participation. Treat 2x baseline and above as “extreme” volume zones that may mark climactic or especially important bars. In practice, the baseline and multipliers are best used as context and filters, not as rigid rules. Settings overview Display - Show Volume Baseline: toggle the baseline and its levels on or off. - Baseline Display: choose between Line or Bars for the baseline visualization. Baseline Calculation - Length: lookback for the median baseline (default 50, configurable). - Baseline Session Data: choose Regular or Extended to control which session data feeds the baseline. Session Controls - Regular Session (Local to TZ): define your RTH window (e.g., 0930-1600). - Session Time Zone: choose the time zone used for that window. - Force Regular Above Timeframe: on higher timeframes, force the baseline to use Regular session data only. Baseline Levels - Show Level x Multiplier 1/2/3: toggle each volume regime level. - Multiplier 1/2/3: define what you consider normal, high, and extreme volume (defaults: 1.0, 1.5, 2.0). Colors - Buy Volume / Sell Volume: choose colors for buy and sell pressure. - Baseline Bars (Base / x2 / x3): colors when the baseline is drawn as columns. - Baseline Line (Base / x2 / x3): colors when the baseline is drawn as lines. Limitations & best practices This is a decision-support and visualization tool, not a buy/sell signal generator. Best suited to markets where volume data is meaningful (e.g., index futures, liquid equities, liquid crypto). The usefulness of any volume-based metric depends on the underlying data feed and instrument structure. Always combine pressure and baseline context with your own strategy, risk management, and testing. Originality Most volume tools either show total volume only or compare it to a simple moving average. Dobrusky Pressure Core combines: An intrabar buy/sell pressure split based on a gap-adjusted price range. A median-based, configurable baseline built from session-specific data. Session-aware behavior that keeps the baseline focused on Regular hours by default, with the option to incorporate Extended hours and force Regular data on higher timeframes. The goal is to give traders a richer, session-aware view of participation and pressure that standard volume bars and simple SMA overlays don’t provide, while keeping everything transparent and open-source so users can review and adapt the logic.
אינדיקטור Pine Script®
מאת ‎adobtrades‎
Institutional Volume Flow (IVF) with VWAP & Zones. Accumulation Zone (Green Background)Logic: Signals potential institutional buying at the low.Conditions: The current close price is below VWAP $\text{(close} < \text{VWAP)}$, AND there has been at least one Aggressive Buy (IVF) bar within the last $\text{N}$ bars.2. Manipulation Zone (Red Background)Logic: Signals a Stop Hunt or False Breakout where the market briefly takes out a previous extreme before reversing with institutional conviction.Conditions:False Break High: Current high is a new 2-bar high, immediately followed by an Aggressive Sell (IVF) bar.False Break Low: Current low is a new 2-bar low, immediately followed by an Aggressive Buy (IVF) bar.3. Compression Zone (Purple Background)Logic: Signals a period of low volatility where price is "coiling up" for a large move.Conditions: The bar's range $\text{(high} - \text{low)}$ is consistently small (less than a multiplier of the Average True Range (ATR)) for a specific number of bars.The zones are plotted using bgcolor() for a visual area on the chart and plotshape() to mark the specific bar where the condition is met. Manipulation is given the highest plotting priority to ensure it's visible over other zones if conditions overlap.Would you like me to elaborate on the typical trading strategy associated with any of these three zones (Accumulation, Manipulation, or Compression)?
אינדיקטור Pine Script®
מאת ‎shunty2731‎
Vince/Williams Market Internals SuiteThis indicator is a powerhouse combination of three distinct market internal strategies developed by Ralph Vince and Larry Williams. Instead of using three separate scripts to monitor market health, this tool consolidates them into a single dashboard that analyzes NYSE "New Lows" data to detect structural rot, capitulation, and crash risks. The first component is the Volatility Vulnerability monitor, which identifies when the market structure is decaying. It looks for an extended period where the number of New Lows fails to drop to negligible levels. If you see an Orange Circle while price is above the 50 SMA, it is a major warning that the uptrend is hollow and prone to a crash. Conversely, a Blue Circle below the 50 SMA suggests the weakness is already priced in, offering a contrarian entry signal. The second component is the Selling Climax signal. This identifies moments of pure terror where New Lows hit extreme levels (default 20%). The script marks these panic days with Orange Diamonds, but the real value is the Green Diamond that appears immediately when the panic subsides, often signaling a sharp V-bottom. Finally, the Bloodbath Rule runs in the background as a defensive filter. When the background turns red (marked by a Red Cross), it means New Lows have breached the "danger" threshold (default 4%). During these periods, internal selling pressure is accelerating, and you should strictly avoid entering new long positions until the background clears. Note: This script relies on broad market data (ADVN/DECN/LOWN) and works best on Daily timeframes.
אינדיקטור Pine Script®
מאת ‎suresh789‎