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Volume

Absorption BubblesSUMMARY This indicator visualizes absorption events by plotting bubbles on candle wicks where volume activity suggests one side of the market is absorbing the other’s pressure. Instead of raw volume, the script normalizes activity against a rolling standard deviation defined by the Lookback Period. Bubbles appear on upper or lower wicks depending on whether buyers or sellers are absorbing pressure. The goal is to highlight whether aggressive orders are being accepted or absorbed at key price points. METHODOLOGY Absorption occurs when one side of the market absorbs aggressive orders from the other, preventing continuation. The script measures normalized volume against a user‑defined threshold to filter out weaker signals. Green bubbles on upper wicks → Selling absorption (buyers push price up, sellers absorb the buying). Red bubbles on lower wicks → Buying absorption (sellers push price down, buyers absorb the selling). Red‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive selling activity. Green‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive buying activity. The Lookback Period controls how many bars are used to calculate the rolling standard deviation of volume, letting traders adjust sensitivity to recent vs. longer‑term activity. Optional significant volume lines extend forward, marking areas where absorption was strongest. FUNCTIONS Normalized volume detection using rolling standard deviation Adjustable Lookback Period for volume normalization Dynamic bubble plotting on candle wicks (size scales with absorption strength) Separate visualization for buying vs. selling absorption Alerts for buying absorption, selling absorption, or any absorption event (only at bar close) Bar coloring when large absorption occurs inside candle bodies APPLICATION Setup: Add the script to any chart and timeframe. Adjust the Absorption Threshold to filter out weaker bubbles and the Lookback Period to control how volume normalization is calculated. Red bubbles highlight buying absorption, often signalling potential price pivots - price can often go upwards from this. Green bubbles mark selling absorption, reflecting resistance to upward moves - price may go downwards from this. Interpretation: Green bubbles on upper wicks = sellers absorbing buying pressure. Red bubbles on lower wicks = buyers absorbing selling pressure. Larger bubbles = stronger absorption relative to recent volume. Settings & Use: Raising the Absorption Threshold filters out smaller bubbles, leaving only significant absorption events. Changing the Lookback Period alters how “normal” volume is defined — shorter periods make the script more sensitive, longer periods smooth out noise. Alerts can be set for buying absorption, selling absorption, or any absorption event, and they only trigger at bar close to avoid noise.
อินดิเคเตอร์ Pine Script®
โดย profitprotrading
5
VolumeTradingView made the default "Volume" script and I found it very bland because it only displayed volume. This script is more than just about volume. It also includes: - A comparison between price increase between the last candle of the post-market hours and first candle of the pre-market hours. - Relative volume label of that sequence. - Explicit pre-market, RTH, and post-market hours labels.
อินดิเคเตอร์ Pine Script®
โดย IAmRozz
2
INSTITUTIONAL VOLUME PROFILE + FIBONACCI + ENHANCED SIGNALS🎯 INSTITUTIONAL VOLUME PROFILE + FIBONACCI + ENHANCED SIGNALS A professional-grade indicator combining Volume Profile analysis, Fibonacci retracements, Anchored VWAP, and intelligent signal filtering to identify high-probability institutional positioning and trade setups. 📊 CORE FEATURES ▸ Volume Profile with POC (Point of Control) - Visualizes where institutional volume accumulated - Identifies High Volume Nodes (HVN) as key support/resistance - Shows Value Area (70% volume zone) for market equilibrium ▸ Dynamic Fibonacci Levels - Auto-detects swing high/low for retracement levels - Golden Pocket (0.618-0.65) highlight zone - Bull/bear direction recognition ▸ Anchored VWAP - Anchored to swing range start - Institutional mean reversion baseline - Real-time trend bias indicator ▸ Graded Signal System (A+/B/C) - A+ Signals: High probability setups (VWAP cross + POC alignment) - B Signals: Above-average quality (VWAP cross above POC) - C Signals: Lower probability (counter-trend setups) 🎮 DISPLAY MODES ⚡ TRADING LIVE MODE - Clean chart showing only A+ signals - Minimal visual noise for active trading - Perfect for intraday execution 📈 FULL OVERVIEW MODE - Complete analysis with all zones visible - Volume Profile + Fibonacci + Value Area - All signal grades displayed - Statistics dashboard 🔬 ADVANCED SIGNAL FILTERS ✓ Volume Confirmation - Requires above-average volume on signals - Filters out weak institutional participation - Configurable volume multiple (default 1.2x) ✓ Momentum Filter - Ensures price momentum aligns with signal direction - Prevents counter-trend entries - Configurable lookback period ✓ SR Proximity Upgrade ⭐ GAME CHANGER - Automatically upgrades B/C signals to A+ when near key levels - Detects proximity to POC and HVN zones - Combines technical confluence for best setups 🔔 SMART ALERTS ▸ Configurable alerts for A+, B, or C signals ▸ Real-time notifications to your device ▸ No need to watch charts constantly ▸ "Once per bar close" prevents repainting 💡 HOW TO USE FOR DAY TRADING: 1. Switch to "Trading Live" mode 2. Enable only A+ alerts 3. Set filters: Volume 1.5x, Momentum ON, Proximity 0.3% 4. Trade only A+ signals at key levels FOR SWING TRADING: 1. Use "Full Overview" mode 2. Analyze Value Area and Fibonacci confluence 3. Set filters: Volume 1.2x, Momentum ON, Proximity 0.8% 4. Enter on A+ signals with multi-timeframe confirmation FOR ANALYSIS: 1. Full Overview mode with all visuals enabled 2. Disable filters to see all raw signals 3. Study how institutions positioned at key zones 4. Plan trades around POC and Value Area ⚙️ RECOMMENDED SETTINGS 5-15 MIN CHARTS (Scalping): - Lookback: 200-300 bars - Volume: 1.5x, Momentum: 5 bars, Proximity: 0.3% - Trading Live mode + A+ alerts only 1 HOUR CHARTS (Intraday): - Lookback: 300 bars - Volume: 1.3x, Momentum: 3 bars, Proximity: 0.5% - Full Overview or Trading Live 4 HOUR CHARTS (Swing): - Lookback: 300-500 bars - Volume: 1.2x, Momentum: 3 bars, Proximity: 0.8% - Full Overview mode DAILY CHARTS (Position): - Lookback: 300-500 bars - Volume: 1.1x, Momentum: 2 bars, Proximity: 1.0% - Full Overview mode 📈 KEY CONCEPTS POC (Point of Control): Price level with highest volume - acts as magnet Value Area: Zone containing 70% of volume - equilibrium range HVN: High Volume Nodes - institutional accumulation zones AVWAP: Anchored VWAP - institutional average entry price Golden Pocket: 0.618-0.65 Fib zone - highest probability reversal area 🎯 TRADING STRATEGY TIPS 1. Wait for A+ signals - quality over quantity 2. Best setups occur at POC or Value Area boundaries 3. Use multiple timeframes for confirmation 4. Combine with your own risk management rules 5. Signals are high probability, not guaranteed - always use stops
อินดิเคเตอร์ Pine Script®
โดย Thecantillonreport
16
GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility Description Overview The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is). Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes. By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts. Methodology and Calculations 1. Logarithmic vs. Percentage Returns The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume. - The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes. - Users can opt for standard percentage changes if they prefer a linear approach. 2. Variance Proxy (Squared Returns) To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation. 3. GARCH-Style Smoothing (EWMA) Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor). - The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance. - Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance. 4. Dynamic Statistical Thresholds The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period. How to Use The indicator plots a histogram that categorizes the market into four distinct volatility regimes: 1. High Volatility (Red Histogram) Trigger: Volatility > High Band (Upper Standard Deviation). Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at: - Capitulation bottoms (panic selling). - Euphoric tops (blow-off tops). - Major news events or earnings releases. 2. Elevated Volatility (Maroon Histogram) Trigger: Volatility > Mean Average. Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily. 3. Normal/Low Volatility (Green Histogram) Trigger: Volatility is within the lower bands. Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction. 4. Extremely Low Volatility (Bright Green/Transparent) Trigger: Volatility < Low Band. Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion. Settings and Configuration Core Settings - Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable. - Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges. - Length: The baseline period for the calculation. - Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands. - EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics. -- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory). -- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory). Visuals - Show Thresholds: Toggles the visibility of the statistical bands on the chart. - High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events. Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
อินดิเคเตอร์ Pine Script®
โดย MarkitTick
Custom Monthly Volume Profile [Multi-Timeframe]This indicator renders a high-precision Monthly Volume Profile designed for intraday traders and practitioners of Auction Market Theory. Unlike standard volume profiles, this script utilizes Multi-Timeframe (MTF) data request capability to build the profile from lower timeframe data (e.g., 5-minute bars) while displaying it on your trading timeframe. This tool is optimized to keep your chart clean while providing critical developing levels (POC, VAH, VAL) and historical context from the previous month. Key Features: 1. Dynamic "Auto-Scaling" Width One of the biggest issues with monthly profiles is visual clutter. Early Month: The profile starts wide (default 10% width) so you can clearly see the developing structure when data is scarce. Late Month: As volume accumulates, the profile automatically shrinks (scales down to 2% width) to prevent the histogram from obscuring price action. Note: This can be toggled off for a static width. 2. Developing & Static Levels Current Month: Displays real-time Developing Point of Control (dPOC), Value Area High (dVAH), and Value Area Low (dVAL). Previous Month: Automatically locks in the levels from the previous month at the close, providing immediate support/resistance references for the new month. 3. Time-Filtered Alerts Avoid waking up to notifications during low-volume overnight sessions. This script includes a Session Filter (Default: 0830-1500). Alerts for crossing POC, VAH, or VAL will only trigger if the price cross occurs within the user-defined time window. 4. Calculation Precision Multi-Timeframe Data: The profile is built using lower timeframe data (Input: Calculation Precision) rather than just the current chart bars. This ensures the Volume Profile shape remains accurate even when viewing higher timeframes. Row Size: Fully adjustable "Tick/Row Size" to control the resolution of the volume buckets. Settings Overview: Calculation Precision: Determine the granularity of the data (e.g., "5" for 5-minute data). Row Size: Controls vertical resolution (Lower = higher detail). Value Area %: Standard 70% default, fully adjustable. Auto-Width: Set the Start % (Day 1) and End % (Day 31). Alerts: Toggle Current or Previous month alerts and define the active time session. Visual Customization: Customize colors for the Histogram (Value Area vs. Outer Area). Customize line width and colors for POC, VAH, and VAL. Supports Right or Left alignment. Disclaimer: This tool is for informational purposes only. Past performance and volume levels do not guarantee future price action.
อินดิเคเตอร์ Pine Script®
โดย TatankaTrading
Golden Volume Lines📌 Golden Volume — Lines (Golden Team) Golden Volume — Lines is an advanced volume-based indicator that detects Ultra High Volume candles using a statistical percentile model, then automatically draws and tracks key price levels derived from those candles. The indicator highlights where real market interest and liquidity appear and shows how price reacts when those levels are broken. 🔍 How It Works Volume Measurement Choose between: Units (raw volume) Money (Volume × Average Price) Average price can be calculated using HL2 or OHLC4. Percentile-Based Classification Volume is classified into: Medium High Ultra High Volume Thresholds are calculated using a rolling percentile window. Ultra Volume candles are colored orange. Dynamic High & Low Levels For every Ultra Volume candle: A High and Low dotted line is drawn. Lines extend to the right until price breaks them. Smart Line Break Detection (Wick-Based) A line is considered broken when price wicks through it. When a break occurs: 🟧 Orange line → broken by an Ultra Volume candle ⚪ White line → broken by a normal candle The line stops exactly at the breaking candle. 🔔 Alerts Alert on Ultra High Volume candles Alert when a High or Low line is broken Separate alerts for: Break by Ultra Volume candle Break by Normal candle 🎯 Use Cases Breakout & continuation confirmation Liquidity sweep detection Volume-validated support & resistance Market reaction after extreme participation ⚙️ Key Inputs Volume display mode (Units / Money) Percentile thresholds Lookback window size Maximum number of active Ultra levels Optional dynamic alerts ⚠️ Disclaimer This indicator is a volume and market structure tool, not a standalone trading system. Always use proper risk management and additional confirmation.
อินดิเคเตอร์ Pine Script®
โดย GoldenCryptoSignals
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner ═══════════════════════════════════════════════════════════════ WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY ═══════════════════════════════════════════════════════════════ The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines. This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets. But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story. ═══════════════════════════════════════════════════════════════ HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE ═══════════════════════════════════════════════════════════════ This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history. The core idea: convert raw surprises into Z-scores. A Z-score answers the question: "How many standard deviations away from normal is this result?" - A Z-score of 0 means the result was exactly average - A Z-score of +2 means the result was unusually high (better than ~95% of historical results) - A Z-score of -2 means the result was unusually low By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability. This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV). ═══════════════════════════════════════════════════════════════ THE 9 SCREENING CRITERIA ═══════════════════════════════════════════════════════════════ ───────────────────────────────────────── 1. SUE (Standardized Unexpected Earnings) ───────────────────────────────────────── WHAT IT IS: SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy. Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default. Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors HOW TO INTERPRET: - SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher. - SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range. - SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range. - SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower. For long positions, look for SUE values above +2.0, ideally combined with positive SURGE. ───────────────────────────────────────── 2. SURGE (Standardized Unexpected Revenue) ───────────────────────────────────────── WHAT IT IS: SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales. Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors. Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors HOW TO INTERPRET: - SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected. - SURGE between 0 and +1.5: Modest positive surprise. - SURGE < 0: Revenue missed expectations. The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone. When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth. ───────────────────────────────────────── 3. SUV (Standardized Unexpected Volume) ───────────────────────────────────────── WHAT IT IS: SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading. Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score. In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?" HOW TO INTERPRET: - SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out. - SUV between +1.0 and +2.0: Elevated volume - above normal interest. - SUV between -1.0 and +1.0: Normal volume range. - SUV < -1.0: Unusually quiet - less activity than expected. High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling). ───────────────────────────────────────── 4. % From D0 Close ───────────────────────────────────────── WHAT IT IS: This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases. Calculation: ((Current Price - D0 Close) / D0 Close) × 100 HOW TO INTERPRET: - Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift. - 0% to +5%: Modest positive drift - earnings were received well but momentum is limited. - +5% to +15%: Strong drift - buyers continue accumulating. - > +15%: Exceptional drift - significant institutional interest likely. - Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating. This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades. ───────────────────────────────────────── 5. # Pocket Pivots ───────────────────────────────────────── WHAT IT IS: Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts. Calculation: A Pocket Pivot occurs when: - The stock closes higher than it opened (up day) - The stock closes higher than the previous day's close - Today's volume exceeds the highest down-day volume of the prior 10 trading sessions The screener counts how many Pocket Pivots have occurred since the earnings announcement. HOW TO INTERPRET: - 0 Pocket Pivots: No detected institutional accumulation patterns since earnings. - 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring. - 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions. Pocket Pivots are most significant when they occur: - Immediately following earnings announcements - Near moving average support (10-day, 21-day, or 50-day) - On above-average volume - After a period of price consolidation Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event. ───────────────────────────────────────── 6. ADX/DI (Trend Strength and Direction) ───────────────────────────────────────── WHAT IT IS: ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish. Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement. The screener shows: - ADX value (trend strength) - Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down) HOW TO INTERPRET: - ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading. - ADX 20-25: Trend is emerging - potentially starting a directional move. - ADX 25-40: Strong trend - clear directional movement. Good for momentum plays. - ADX > 40: Very strong trend - powerful move in progress, but may be extended. The direction indicator (+/-) tells you which way: - "25+" means ADX of 25 with bullish direction (uptrend) - "25-" means ADX of 25 with bearish direction (downtrend) For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike. ───────────────────────────────────────── 7. Institutional Buying PASS ───────────────────────────────────────── WHAT IT IS: This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings: EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day. MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days). LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention). HOW TO INTERPRET: - Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares. - X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible. A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves. Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis. ───────────────────────────────────────── 8. Strong ATR Drift PASS ───────────────────────────────────────── WHAT IT IS: This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?" ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference. Calculation: ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings. HOW TO INTERPRET: - Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise. - X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation. Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap. A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital. ───────────────────────────────────────── 9. Days Since D0 ───────────────────────────────────────── WHAT IT IS: Simply counts the number of trading days since the earnings reaction day (D0). HOW TO INTERPRET: - Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies. - Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries. - Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses. Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in. Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate. ═══════════════════════════════════════════════════════════════ PUTTING IT ALL TOGETHER ═══════════════════════════════════════════════════════════════ You can use this screener in the chart view or in the Screener. One combination of the above filters to develop a shortlist of positive drift candidates may be: - SUE > 2.0 (significant earnings beat) - SURGE > 1.5 (significant revenue beat) - Positive % From D0 Close (price confirming the good news) - Institutional Buying PASS (big players accumulating) - Strong ATR Drift PASS (statistically significant movement) - Days Since D0 < 10 (still in the active drift window) No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction. ═══════════════════════════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════════════════════════ Key adjustable parameters: - SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison - Window Size: Number of quarters used for standardization (default: 8) - ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5) - Institutional Buying thresholds: Adjustable volume and CLV parameters ═══════════════════════════════════════════════════════════════ DISCLAIMER ═══════════════════════════════════════════════════════════════ This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
อินดิเคเตอร์ Pine Script®
โดย mericourt
Relative Volume Bollinger Band % The Relative Volume Bollinger Band % indicator is a powerful tool designed for traders seeking insights into volume, Bollinger band and relative strength dynamics. This indicator assesses the deviation of a security's trading volume relative to the Bollinger band % indicator and the RSI moving average. Together, these shed light on potential zones of interests where market shifts have a high probability of occurring. Key Features: Period: Tailor the indicator's sensitivity by adjusting the period of the smooth moving average and/or the period of the Bollinger band. How it Works: Moving Average Calculation: The script computes the simple moving average (SMA) of the relative strength over a defined period. When the higher SMA (orange line) is in the top grey zone, the security is in a zone where it has a high probability of becoming bullish. When the higher SMA is in the lower grey zone, the security is in a zone where it has a high probability of becoming bearish. -Bollinger Band %: The script also computes the BB% which is primarily used to confirm overbought and oversold areas. When overbought, it turns white and remains white until the overbuying pressure is released indicating that the security is about to become bearish. The script indicates a bearish reversal when the BB% and RVOL bars are both red or when there are no more yellow RVOL bars, if present. When the BB% is<0 and rising, it will also appear white with yellow RVOL bars above. This is a good indication that bulls are beginning to enter buying positions. Confirmation here is indicated when the yellow RVOL bars change to green. Relative Volume: The indicator then also normalizes the difference volume to indicate areas of high and low volatility. This shows where higher than normal volumes are being traded and can be used as a good indication of when to enter or exit a trade when the above criterions are met. Visual Representation: The result is visually represented on the chart using columns. Bright green columns signify bullish relative volume values that are much greater than normal. Green columns signify bullish relative volume values that are significant. Red columns represent bearish values that are significant. Blue columns on the BB% indicator represent significant bullish buying in overbought areas. Red columns on the BB% indicator that are < 0 represent a bearish trend that is in an oversold area. This is there to prevent early entry into the market. Enhancements: Areas of Interest: Optionally, Areas of interest are represented by red, yellow and green circles on the higher SMA line, aiding in the identification of significant deviations.
อินดิเคเตอร์ Pine Script®
โดย capableDealer16380
Gamma & Volatility Levels [Pro]General Purpose This indicator analyzes volatility levels and expected price movements, combining gamma concepts (financial options) with volatility analysis to identify support and resistance zones. Main Components High Volatility Level (HVL): Calculates a volatility level based on the simple moving average (SMA) of the price plus one standard deviation. This level is represented by an orange line showing where volatility is concentrated. Expected Movement (Movimiento Esperante): Uses the Average True Range (ATR) multiplied by an adjustable factor to project potential upward and downward movement ranges from the current price. It is drawn in green (upward) and red (downward). Gamma Levels (Nivelas Gamma): Identifies two key levels: the call resistance (highest high of the last 50 periods) in blue, and the put support (lowest low) in purple. These are based on recent extreme prices. Additional Information: The indicator calculates the percentage distance between the current price and the HVL, displaying it in a label. Visual Elements Colored lines on the chart for each level. Labels with exact values ​​next to each line. A table in the upper right corner summarizing all calculated values. Options to show or hide each element according to preference. This is a useful tool for traders who work with options or seek to identify levels of extreme volatility and dynamic support/resistance zones.
อินดิเคเตอร์ Pine Script®
โดย Carlos_pascual
1
Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation The best to used is side way market with long and short enable The Strategy trigger long or short market order - long - ta.crossover(rsi, 20) short - ta.crossunder(rsi, 80) And if is not take profit from the first trade start with the save trades until will do the sum of the first order - base order and the save order can be adjust from the user as well the deviation from the first order IF some user have questions let me know
กลยุทธ์ Pine Script®
โดย fullmax
4
Clean Volume (SUV)The Problem with Raw Volume Traditional volume bars tell you how much traded, but not whether that amount is unusual. This creates noise that misleads traders: Stock A averages 1M shares with wild daily swings (500K-2M is normal). Today's 2M volume looks like a spike—but it's just a routine high day. Stock B averages 1M shares with rock-steady volume (950K-1.05M typical). Today's 2M volume is genuinely extraordinary—institutions are clearly active. Both show identical 200% relative volume. But Stock B's reading is far more significant. Raw volume and simple relative volume (RVol) can't distinguish between these situations, leading to: - False signals on naturally volatile stocks - Missed signals on stable stocks where smaller deviations matter - Inconsistent comparisons across different securities --- A Solution: Standardized Unexpected Volume (SUV) SUV applies statistical normalization to volume, measuring how many standard deviations today's volume is from the mean. This z-score approach accounts for each stock's individual volume stability, not just its average. SUV = (Today's Volume - Average Volume) / Standard Deviation of Volume Using the examples above: - Stock A (high volatility): SUV = 2.0 — elevated but not unusual for this stock - Stock B (low volatility): SUV = 10.0 — extremely unusual, demands attention SUV automatically calibrates to each security's behaviour, making volume readings comparable across any stock, ETF, or timeframe. --- What SUV Is Good For ✅ Identifying genuine volume anomalies — separates signal from noise ✅ Comparing volume across different securities — apples-to-apples z-scores ✅ Spotting institutional activity — large players create statistically significant footprints ✅ Confirming breakouts — high SUV validates price moves ✅ Detecting exhaustion — extreme SUV after extended moves may signal climax ✅ Finding "dry" setups — negative SUV reveals quiet accumulation periods --- Where SUV Has Limitations ⚠️ Earnings/news events — SUV will spike dramatically (by design), but the statistical reading may be less meaningful when fundamentals change ⚠️ Low-float stocks — extreme volume volatility can produce erratic SUV readings ⚠️ First 20 bars — needs lookback period to establish baseline; early readings are less reliable ⚠️ Doesn't predict direction — SUV measures volume intensity, not whether price will rise or fall --- How to Read This Indicator Bar Height Displays actual volume (like a traditional volume chart) so you can still see absolute levels. Bar Color (SUV Intensity) Color intensity reflects the SUV z-score. Brighter = more unusual. Up Days (Green Gradient): | Color | SUV Range | Meaning | |--------------|-----------|------------------------------------------| | Bright Green | ≥ 3.0 | EXTREME — Highly unusual buying activity | | Green | ≥ 2.0 | VERY HIGH — Significant accumulation | | Light Green | ≥ 1.5 | HIGH — Above-average interest | | Pale Green | ≥ 1.0 | ELEVATED — Moderately active | | Muted Green | 0 to 1.0 | NORMAL — Typical volume | | Dark Grey | < 0 | DRY — Below-average, quiet | Down Days (Red Gradient): | Color | SUV Range | Meaning | |------------|-----------|-----------------------------------------| | Bright Red | ≥ 3.0 | EXTREME — Panic selling or capitulation | | Red | ≥ 2.0 | VERY HIGH — Heavy distribution | | Light Red | ≥ 1.5 | HIGH — Active selling | | Pale Red | ≥ 1.0 | ELEVATED — Moderate selling | | Muted Red | 0 to 1.0 | NORMAL — Routine down day | | Dark Grey | < 0 | DRY — Light profit-taking | Coiled State (Tan/Beige): When detected, bars turn muted tan regardless of direction. This indicates: - Volume compression (SUV below threshold for consecutive days) - Volatility contraction (ATR below average) - Price tightness (small recent moves) Coiled states may precede significant breakouts. Special Markers "P" Label (Blue) — Pocket Pivot detected. Morales & Kacher's signal fires when: - Price closes higher than previous close - Price closes above the open (green candle) - Volume exceeds the highest down-day volume of the last 10 bars Pocket Pivots may indicate institutional buying before a traditional breakout. "C" Label (Orange) — Coiled state confirmed. The stock is consolidating with compressed volume and tight price action. Watch for expansion. Dashboard The configurable dashboard displays real-time metrics. Default items: - Vol — Current bar volume - SUV — Z-score value - Class — Classification (EXTREME/VERY HIGH/HIGH/ELEVATED/NORMAL/DRY/COILED) - Proj RVol — Projected end-of-day relative volume (intraday only) Additional optional items: Direction, Coil Status, Relative ATR, Pocket Pivot, Average Volume. --- Practical Usage Tips 1. SUV ≥ 2 on breakouts — Validates the move has institutional participation 2. Watch for SUV < 0 bases — Quiet accumulation zones where smart money builds positions 3. Coil → Expansion — After consecutive coiled days, the first SUV ≥ 1.5 bar often signals direction 4. Pocket Pivots in bases — Early accumulation signals before price breaks out 5. Extreme SUV (≥3) after extended moves — May indicate climax/exhaustion rather than continuation --- Settings Overview | Group | Key Settings | |-----------------|-----------------------------------------------------| | SUV Settings | Lookback period (default 20) | | Coil Detection | Enable/disable, sensitivity thresholds | | Pocket Pivot | Enable/disable, lookback period | | Display | Dashboard style (Ribbon/Table), position, text size | | Dashboard Items | Toggle which metrics appear | | Colors | Fully customizable gradient colors | --- Credits SUV concept adapted from academic literature on standardized unexpected volume in market microstructure research. Pocket Pivot methodology based on Gil Morales and Chris Kacher's work. Coil detection inspired by volatility contraction patterns. --- This indicator does not provide financial advice. Always combine volume analysis with price action, market context, and proper risk management. No animals were harmed during the coding and testing of this indicator.
อินดิเคเตอร์ Pine Script®
โดย mericourt
2
WOLFGATEWOLFGATE is a clean, session-aware market structure and regime framework designed to help traders contextualize price action using widely accepted institutional references. The indicator focuses on structure, momentum alignment, and mean interaction, without generating trade signals or predictions. This script is built for clarity and decision support. It provides a consistent way to evaluate market conditions across different environments while remaining flexible to individual trading styles. What This Indicator Displays Momentum & Structure Averages 9 EMA — Short-term momentum driver 21 EMA — Structural control and trend confirmation 200 SMA — Primary regime boundary 400 SMA (optional) — Deep regime / macro bias reference These averages are intended to help assess directional alignment, trend strength, and structural consistency. Session VWAP (Institutional Mean) Session-based VWAP with a clean daily reset Default session: 09:30–16:00 ET Uses HLC3 as the VWAP source for balanced price input Rendered in a high-contrast institutional blue for visibility VWAP can be used to evaluate mean interaction, acceptance, or rejection during the active session. How to Use WOLFGATE This framework is designed for context, not signals. Traders may use WOLFGATE to: Identify bullish or bearish market regimes Evaluate momentum alignment across multiple time horizons Observe price behavior relative to VWAP Maintain directional bias during trending conditions Avoid low-quality conditions when structure is misaligned The indicator does not generate buy or sell signals and does not include alerts or automated execution logic. Important Notes Volume must be added separately using TradingView’s built-in Volume indicator (Volume cannot be embedded directly into this script due to platform limitations.) This script is intended for educational and analytical purposes only No financial advice is provided Users are responsible for their own risk management and trade decisions
อินดิเคเตอร์ Pine Script®
โดย Capitalwithluke
AlgoZ Smart Divergence [Trend Filtered]AlgoZ Smart Divergence is a precision entry tool designed to catch market reversals by analyzing Volume Divergence combined with Multi-Timeframe Trend Filtering. Unlike standard divergence indicators that signal on every minor price fluctuation, this script uses a strict set of filters to only present high-probability trade setups that align with the broader market trend. This is the Free Edition of the AlgoZ Suite, focused on providing clean, non-repainting Buy and Sell signals based on institutional volume flow. How It Works The script operates on a 3-step validation process: Volume Divergence: It detects anomalies where volume spikes relative to price action (e.g., Price makes a Lower Low, but Volume hits a Higher High). HTF Trend Painting: It analyzes a Higher Timeframe (Default: 3 Hours) to determine the macro trend. If the 3H trend is Bullish, the candles turn Green. If Bearish, they turn Red. Color Match Filtering: The script includes a smart filter that blocks signals that go against the trend. You will only see BUY signals when the candles are Green (Uptrend) and SELL signals when the candles are Red (Downtrend). Key Features Volume Divergence Engine: Identifies hidden accumulation and distribution zones. HTF Trend Coloring: Automatically paints your chart based on Higher Timeframe breakouts (Default: 3-Hour Trend). Smart Signal Filtering: Toggles are available to "Only Show Signals Matching Candle Color," ensuring you never trade against the momentum. EMA Trend Filter: Includes a built-in 10-period EMA filter to further refine entries. Volatility Filters: Optional RSI and ADX filters are included to avoid trading during low-volatility "chop." How to Use For Longs (Buys): Wait for the candles to turn Green (indicating the 3-Hour trend is up) and look for a BUY label. The price must also be above the 10 EMA (if enabled). For Shorts (Sells): Wait for the candles to turn Red (indicating the 3-Hour trend is down) and look for a SELL label. Risk Management: This script is designed to catch reversals. Always place your Stop Loss below the recent swing low (for buys) or above the swing high (for sells). Settings Higher Timeframe: Default is set to 3 Hours (180 minutes). You can adjust this to 1 Day or 4 Hours depending on your trading style. EMA Length: Default is 10. Color Match Filter: On by default.
อินดิเคเตอร์ Pine Script®
โดย rowdyllama
Orderblock Footprints [AlgoAlpha]🟠 OVERVIEW This script highlights orderblocks and then drills into what actually trades inside them. Zones are created only after an abnormal directional impulse, measured with a z-score on consecutive candle bodies, so the orderblocks are tied to real expansion rather than simple pivots. Once a zone exists, the script overlays lower-timeframe volume footprints inside the candle when price trades back into that zone. The goal is to show not just where an orderblock sits, but whether price is being accepted or absorbed when it is revisited. 🟠 CONCEPTS Orderblocks are detected after extreme bullish or bearish impulses. The script tracks consecutive body movement up or down, normalizes that distance with a rolling z-score, and only triggers when the move is statistically large. The last opposite candle before that impulse defines the orderblock range. These zones then extend forward until they are either mitigated by price closing through them or they expire by age. Inside an active zone, the script switches to a lower timeframe and builds a footprint-style profile for each bar. Each candle is split into price rows, counting time-at-price and volume delta. Positive and negative delta are colored separately. Absorption is flagged when opposing delta prints appear in the wick that rejects the zone. In practice: the impulse defines context ; the footprint shows interaction . 🟠 FEATURES Separate bullish and bearish zones with automatic extension Volume split inside each zone candle (up vs down volume) Lower-timeframe footprint with TPO-style rows and delta gradient Absorption detection using opposing delta in rejection wicks Alerts for zone creation and absorption events 🟠 USAGE Setup : Add the script to your chart. It works on any market and timeframe. The lower timeframe for footprints is fixed at 5 minutes, so higher chart timeframes show clearer structure. Use the Z-Score Window to control how strict impulse detection is and Max Box Age to limit how long old zones stay on the chart. Read the chart : Bullish orderblocks are created after strong upward impulses and are invalidated when price closes below them. Bearish orderblocks are created after strong downward impulses and are invalidated when price closes above them. When price trades inside a zone, footprint rows appear. Green-tinted rows show positive delta; red-tinted rows show negative delta. Absorption labels appear when opposing delta prints into a rejecting wick. Settings that matter : Increasing the Z-Score Window makes orderblocks rarer but more significant. Disabling Prevent Overlap allows stacked zones if you want to study clustering. Adjusting Rows per bar changes footprint resolution—lower values are cleaner, higher values show more detail but use more objects.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
18
Momentum Candle V3 by Sekolah TradingMomentum Candle v3 by Sekolah Trading Description: Momentum Candle v3 is a technical indicator designed to identify market momentum signals based on price movement within a single candle. The indicator measures the size of the candle's body and wick to determine if the market is showing strong bullish or bearish momentum. Key Features: Candle Size: Measures price movement within a single candle to assess market momentum. Short Wick: Focuses on wick length, with short wicks indicating that the closing price is more significant than the opening price. Bullish/Bearish Momentum: Provides bullish signals when the closing price is higher than the open, and bearish signals when the closing price is lower than the open. Customizable Minimum Body: Users can adjust the minimum body size for XAUUSD and USDJPY pairs according to their trading preferences. Timeframe: Works on M5 and M15 timeframes for XAUUSD and USDJPY currency pairs. How to Use: Bullish Signal: The indicator signals bullish momentum when the candle body is sufficiently large and the wick is short, with the closing price higher than the open. Bearish Signal: The indicator signals bearish momentum when the candle body is sufficiently large and the wick is short, with the closing price lower than the open. Pip Parameters: Adjust the pip values for XAUUSD and USDJPY according to market conditions or your trading preferences. Note: This indicator is a tool for technical analysis and does not guarantee specific trading results. It is recommended to use it alongside other strategies and analyses for better accuracy. Realistic Backtest Results: To ensure transparency and honesty in the backtest, here are some key factors to consider: Position Size: The backtest uses a realistic position size of about 5-10% of the account equity per trade. Commission & Slippage: A commission of 0.1% per trade and slippage of 1 pip were used in the backtest simulation to reflect real market conditions. Number of Trades: The backtest sample includes more than 100 trades for a representative result. Example of Backtest Results: Profitability: The backtest results on XAUUSD and USDJPY show consistent performance with this strategy on the M5 and M15 timeframes. Commission and Slippage: Adjusting for commission and slippage showed better accuracy under more realistic market scenarios. How to Use the Indicator: Signals from this indicator can be used to confirm market momentum in trending conditions. However, it is highly recommended to combine this indicator with other technical analysis tools to minimize the risk of false signals. Important Notes: Honesty & Transparency: This indicator is designed to provide signals based on technical analysis and does not guarantee specific trading results. No Over-Claims: The backtest results displayed represent realistic scenarios and are not intended to promise certain profits. Original Content: The code for this indicator is original and does not violate any copyrights. Tagging: Smart Tags: Momentum, Candle, XAUUSD, USDJPY, Bullish, Bearish, M5, M15, Technical Indicator, Market Momentum.
อินดิเคเตอร์ Pine Script®
โดย sekolah_trading
1