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Volume Indicator

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
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
Volume Heikin Ashi by CrugThis indicator combines the Heikin Ashi with classic volume candles. It is useful to see the trend and "how much" volume it contains 1 - Select Volume Candles on the graph i.postimg.cc 2- In setting remove the all the colors i.postimg.cc 3- Insert the indicator 4- Using with momentum indicators (like Market liberator B, MACD, ...) it provides more precise and realistic data to plot divergences because it combines: classic japanese candle but with volumes. In the meantime it is easier to see the main trend i.postimg.cc
อินดิเคเตอร์ Pine Script®
โดย LukeKruger
Multi-Distribution Volume Profile (Zeiierman)█ Overview Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more. Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity. On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map. Highlights Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.) Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout Value Area / Center Band computed from volume quantiles around the POC. Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids Separate bullish vs bearish volume at each price row for directional structure insights █ How It Works ⚪ Profile Construction The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows). For each historical bar within the window: It measures the candle’s price range, body, and wicks. It assigns volume to rows according to the selected Profile Build Mode, for example: * Range Uniform – volume spread evenly across the full high–low range. * Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only. * Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling). HL2 / Body Center Weighted – center weights around the middle of the range/body. Recent-Weighted Volume – amplify newer bars using exponential time decay. Volume Squared (Hard) – aggressively boost bars with large volume. Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars. For more advanced shapes, the script uses continuous distributions across the bar’s span: Linear, Triangular, Exponential to High Cosine Centered, PERT Gaussian, Lognormal, Cauchy, Laplace Pareto, Weibull, Logistic, Gumbel Gamma, Beta, Chi-Square, Student-t, F-Shape Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes. ⚪ POC & Center Band (Value Area) Once all rows are accumulated: The row with the highest total volume becomes the Point of Control (POC) The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution. This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading. ⚪ Gradient Fade Engine Each row also gets a fade metric, chosen in Fade Metric: Volume – opacity based on relative volume. Price Hits – how frequently that row was touched. Blended (Vol+Hits) – average of volume & hits. Freshness – emphasizes recent activity, controlled by Decay. Volatility Impact – rows that saw larger ranges contribute more. Dwell Time – where price “camped” the longest. Reversal Density – where direction changes cluster. Compression – tight-range compression zones. Liquidity Void – inverse of volume (thin liquidity zones). When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property. █ How to Use ⚪ Explore Different Distribution Assumptions Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure: Use Range Uniform for classical profile reading. Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering. Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity. Use Recent-Weighted Volume to prioritize the most recent structural behavior. This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest. ⚪ Identify Value, Acceptance & Rejection Zones Use the POC and Center of Profile (%) band to distinguish: High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density These regions can be used as: Targets and origin zones for mean reversion Context for breakout validation (leaving value) Bias reference for intraday rotations or swing rotations ⚪ Read Directional Structure Within the Profile Because each row is split into bullish vs bearish contributions, you can visually read: Where buyers dominated a price region (large bullish slice) Where sellers absorbed or defended (large bearish slice) Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data. ⚪ Use Fade Metrics for Contextual Heatmaps Each Fade Metric can be used for a different analytical lens: Volume / Blended – emphasize where volume and activity are concentrated. Freshness – highlight the most recently active zones that still matter. Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges. Reversal Density – locate micro turning points and battle zones. Liquidity Void – visually pop out thin regions that may act as speedways or magnets. █ Settings Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families). Bars Included – Number of bars used to build the profile from the current bar backward. Price Levels – Vertical resolution of the profile: more levels = smoother but heavier. Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top. Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes. Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric. Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void). Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer). Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window. Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
อินดิเคเตอร์ Pine Script®
โดย Zeiierman
10
Rolling Volume Profile [Matrix Volume Heatmap] by NXT2017Description This indicator offers a unique visual approach to Volume Profile analysis. Instead of the traditional histogram bars or boxes, this script renders a Rolling Volume Profile as a background "Matrix Heatmap" directly on your chart. By dividing the price action of the most recent N-candles into 30 horizontal zones (buckets), it visualizes where the most trading activity has occurred within your defined lookback period. The visualization uses dynamic transparency to highlight the Point of Control (POC) and high-volume nodes, while fading out low-volume areas. 🧠 How it Works The script operates on a "Rolling Window" basis, meaning it recalculates the profile at every bar to reflect the immediate market context. Dynamic Range: It calculates the highest High and lowest Low of the user-defined Lookback Length (default: 1000 bars). Bucket Slicing: This vertical range is divided into 30 equal price buckets. Volume Distribution (Overlap Logic): The script iterates through the historical data. If a candle is large and spans multiple buckets, its volume is distributed proportionally across those buckets. This ensures a more realistic profile compared to simply assigning volume to the close price. Heatmap Visualization: The script calculates the Maximum Volume (POC) within the profile. It uses a Reference Length to normalize this maximum. Dynamic Opacity: Zones with volume close to the maximum are rendered opaque (solid). Zones with low relative volume become highly transparent. This creates an automatic "Heatmap" effect, allowing you to instantly spot the most significant price levels. ⚙️ Settings Lookback Length (candles): Defines how far back the profile calculates volume (e.g., 1000 bars). POC Reference Length: Defines the smoothing window for the 100% volume baseline. Increasing this stabilizes the color changes; decreasing it makes the heatmap more reactive to sudden volume spikes. Profil Color: Choose the base color for the matrix. The transparency is calculated automatically. 💡 Use Case This tool is ideal for traders who want to see the "Value Area" of the current range without cluttering the chart with complex boxes or side-bars. It works excellent as a background context tool to identify: High Volume Nodes (Support/Resistance) Low Volume Nodes (Price gaps/Rejection areas) Migrating Points of Control (Trend direction)
อินดิเคเตอร์ Pine Script®
โดย NXT2017
Volume Profile VisionVolume Profile Vision - Complete Description Overview Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points. What Makes This Indicator Original Volume Profile Vision introduces several unique features not found in standard volume profile tools: Dual-Direction Histogram Display: Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes. Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play. Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems: Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting Obsidian Precision: Professional dark theme with white POC and electric cyan accents Black Ice: Monochromatic cyan family with graduated intensity Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity. Core Concepts & Calculations Volume Distribution Analysis The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by: Scanning back through the specified lookback period (customizable or visible range) For each historical bar, determining which price levels the bar's high/low range intersects Accumulating volume for each intersected price level Optionally filtering by bullish/bearish volume only Point of Control (POC) The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice). Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for: Mean reversion opportunities when price is far from POC Rejection signals when price tests POC from above/below Breakout confirmation when price breaks through and holds beyond POC Value Area (VA) The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants. Calculation Method: Start at the POC (highest volume level) Expand upward and downward, adding adjacent price levels Always add the level with higher volume next Continue until accumulated volume reaches the VA percentage threshold Value Area High (VAH): Upper boundary of accepted value - acts as resistance Value Area Low (VAL): Lower boundary of accepted value - acts as support Trading Significance: Price spending time inside VA indicates market equilibrium Breakouts above VAH suggest bullish momentum shift Breakdowns below VAL suggest bearish momentum shift Returns to VA boundaries often provide high-probability entry zones High Volume Nodes (HVN) Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation. Trading Significance: HVNs act as strong support/resistance zones Price tends to consolidate at HVNs before making directional moves Breaking through an HVN often signals strong momentum Low Volume Nodes (LVN) Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation. Trading Significance: LVNs represent areas of rejection - price finds little acceptance Price tends to move rapidly through LVN zones Useful for setting stop-losses (below LVN for longs, above for shorts) Can identify potential gaps or "air pockets" in the market structure Grayscale POC Detection A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area. How to Use This Indicator Setup Choose Lookback Period: Enable "Use Visible Range" to analyze only what's on your chart Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis Adjust Profile Resolution: "Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones Select Color Scheme: Traffic Light: Best for clear POC/VA/HVN identification Aurora Glass: Modern aesthetic for dark charts Obsidian Precision: Professional trader preference Black Ice: Minimalist single-color family Visual Customization Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars) Right Extension: Width of the traditional histogram bars on the right (default: 50 bars) Right Margin: Space between current price bar and histogram (default: 0 for flush alignment) Left Profile Gap: Space between left-side histogram and candles (default: 0) Trading Strategies Strategy 1: Value Area Mean Reversion Wait for price to move outside the Value Area (above VAH or below VAL) Look for rejection signals (wicks, bearish/bullish candles) Enter trades toward the POC Take profits as price returns to POC or opposite VA boundary Strategy 2: Breakout Confirmation Identify when price is consolidating within the Value Area Wait for a strong close above VAH (bullish) or below VAL (bearish) Enter on the breakout or on first pullback to the VA boundary Target previous HVNs or swing highs/lows outside the VA Strategy 3: POC Support/Resistance Watch for price approaching the POC level If approaching from below, look for bullish reversal patterns at POC (support) If approaching from above, look for bearish reversal patterns at POC (resistance) Trade in the direction of the bounce with stops beyond the POC Strategy 4: LVN Fast Movement Zones Identify LVN zones within the Value Area (marked with "LVN" label) When price enters an LVN, expect rapid movement through the zone Avoid entering trades within LVNs Use LVNs as confirmation of directional momentum Alert System The indicator includes 7 customizable alert conditions: POC Touch: Alerts when price comes within 0.5 ATR of POC VAH/VAL Touch: Alerts at Value Area boundaries VA Breakout: Alerts on breakouts above VAH or below VAL HVN Touch: Alerts when price contacts High Volume Nodes LVN Entry: Alerts when entering Low Volume zones POC Shift: Alerts when POC moves to a new price level Reading the Profile Price Labels (shown on the right side): POC: Point of Control - highest volume price level VAH: Value Area High - upper boundary of accepted value VAL: Value Area Low - lower boundary of accepted value LVN: Low Volume Node - expect fast movement through this zone Color Intensity Interpretation: Brighter colors = higher volume concentration Dimmer colors = lower volume Abrupt color changes = transition between volume zones Gaps in the histogram = price levels with no trading activity Technical Details Volume Accumulation Logic: For each bar in lookback period: For each price level: If bar's high/low range intersects price level: Add bar's volume to that price level's total Gradient Algorithm: Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity) Aurora Glass: Linear cyan-to-magenta interpolation Obsidian Precision: Dark blue gradient with cyan highlights Black Ice: Three-stage cyan intensity progression Real-Time Updates: The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure. Best Practices Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading Combine with Price Action: Volume profile shows WHERE, price action shows WHEN Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas Performance Notes Maximum bars back: 5000 (handles deep historical analysis) Maximum boxes: 500 (handles complex profiles) Optimized calculation: Only recalculates on last bar for efficiency Real-time capable: Updates as new ticks arrive
อินดิเคเตอร์ Pine Script®
โดย KevinSvenson_
2
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display. Credits & Attribution This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues. Purpose & Philosophy Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into: Cross-exchange arbitrage opportunities Institutional order flow patterns Market maker positioning True market sentiment beyond single-exchange data Key Features 📊 Multi-Exchange Data Aggregation Real-time tape from 3 major exchanges: Binance (BTCUSDT) Coinbase (BTCUSD) Kraken (BTCUSD) Customizable source inputs for any trading pair Synchronized price and volume tracking Exchange name identification in tape display 📈 Advanced Tape Display Dynamic tape visualization with configurable line quantity (0-50 lines) Directional flow indicators (＋/－ symbols for price changes) Exchange identification for each trade Volume precision control (0-16 decimal places) Flexible positioning (9 screen positions available) Real-time only operation for accurate order flow 🎯 Volume Delta Analysis Real-time cumulative volume delta calculation Divergence detection (price vs. volume direction) Colored visual feedback for market sentiment Total session delta displayed in footer Cross-exchange delta aggregation 🚨 Smart Alert System Marker 1: Volume Delta Bumps (⬆⬇) Triggers on consecutive volume delta increases Identifies momentum acceleration points Filters out divergent movements Marker 2: Volume Delta Thresholds (⇑⇓) Fires when delta exceeds user-defined thresholds Catches significant order imbalances Excludes divergence conditions Marker 3: Large Volume Detection (⤊⤋) Highlights unusually large individual trades Spots potential institutional activity Direction-specific triggers Configure Data Sources Adjust exchange pairs if needed (e.g., for altcoin analysis) Leave blank to disable specific exchanges Use format: EXCHANGE:SYMBOL Customize Display Set tape line quantity based on screen size Position the table for optimal visibility Choose color scheme (text or background) Adjust text size for readability Configure Alerts Enable desired markers (1, 2, or 3) Set volume thresholds appropriate for your timeframe Choose direction (Longs, Shorts, or Both) Create TradingView alerts on marker signals Trading Applications Scalping (1-5 min) Monitor tape speed for momentum shifts Watch for cross-exchange divergences Track large volume clusters Use Marker 1 for quick momentum trades Day Trading (5-60 min) Identify accumulation/distribution phases Spot institutional positioning Confirm breakout validity with volume delta Use Marker 2 for significant imbalances Swing Trading (1H+) Analyze volume delta trends Detect smart money rotation Time entries with order flow confirmation Use Marker 3 for institutional footprints Advanced Techniques Cross-Exchange Arbitrage Detection When price disparities appear between exchanges: Immediate Opportunity: Price differences > 0.1% Bot Activity: Rapid convergence patterns Liquidity Vacuum: One exchange leading others Divergence Trading Strategies Volume delta diverging from price direction: Absorption: Strong hands entering (price down, delta up) Distribution: Smart money exiting (price up, delta down) Reversal Setup: Sustained divergence over multiple bars Institutional Footprint Recognition Large volume characteristics: Simultaneous Spikes: Same timestamp across exchanges TWAP Patterns: Consistent volume over time Iceberg Orders: Repeated same-size trades Pine Script v6 Enhancements Type Safety Improvements Strict boolean type handling Explicit type declarations Enhanced error checking Performance Optimizations Improved request.security() function Better memory management with arrays Optimized table rendering Modern Syntax Updates indicator() instead of study() Namespaced math functions (math.round()) Typed input functions (input.int(), input.float()) Performance Considerations System Requirements Real-time Data: Essential for tape operation Multiple Security Calls: May impact performance Array Operations: Memory intensive with high line counts Table Rendering: CPU usage increases with tape size Optimization Tips Reduce tape lines for better performance Increase volume filter to reduce noise Disable unused markers Use text-only coloring for faster rendering
อินดิเคเตอร์ Pine Script®
โดย d3f4ult
Luxy VWAP Magic - MTF Projection EngineThis indicator transforms the classic VWAP into a comprehensive trading system. Instead of switching between multiple indicators, you get everything in one place: multi-timeframe analysis, statistical bands, momentum detection, volume profiling, session tracking, and divergence signals. What Makes This Different Traditional VWAP indicators show a single line. This tool treats VWAP as a foundation for complete market analysis. The indicator automatically detects your asset type (stocks, crypto, forex, futures) and adjusts its behavior accordingly. Crypto traders get 24/7 session tracking. Stock traders get proper market hours handling. Everyone gets institutional-grade analytics. Anchor Period Options The anchor period determines when VWAP resets and recalculates. You have three categories of options: Time-Based Anchors: Session - Resets at market open. Best for intraday stock trading where you want fresh VWAP each day. Day - Resets at midnight UTC. Standard option for most traders. Week / Month / Quarter / Year - Longer reset periods for swing traders and position traders who want broader context. Rolling Window Anchors: Rolling 5D - A sliding 5-day window that never resets. Solves the Monday problem where weekly VWAP equals daily VWAP on first day of week. Rolling 21D - Approximately one month of trading data in continuous calculation. Excellent for crypto and forex markets that trade 24/7 without clear session breaks. Event-Based Anchors: Dividends - Resets on ex-dividend dates. Track institutional cost basis from dividend events. Splits - Resets on stock split dates. Useful for analyzing post-split trading behavior. Earnings - Resets on earnings report dates. See where volume-weighted trading occurred since last quarterly report. Standard Deviation Bands Three sets of bands surround the main VWAP line: Band 1 (Aqua) - Plus and minus one standard deviation. Approximately 68% of price action occurs within this range under normal distribution. Touches suggest minor extension. Band 2 (Fuchsia) - Plus and minus two standard deviations. Only 5% of trading should occur outside this range statistically. Touches here indicate significant overextension and high probability of mean reversion. Band 3 (Purple) - Plus and minus three standard deviations. Touches are rare (0.3% probability) and represent extreme conditions. Often marks climax moves or panic selling/buying. Each band can be toggled independently. Most traders show Band 1 by default and add Band 2 and 3 for specific setups or volatile instruments. Multi-Timeframe VWAP System The MTF section plots previous period VWAPs as horizontal support and resistance levels: Daily VWAP - Previous day's final VWAP value. Key intraday reference level. Weekly VWAP - Previous week's final VWAP. Important for swing traders. Monthly VWAP - Previous month's final VWAP. Institutional benchmark level. Quarterly VWAP - Previous quarter's final VWAP. Major support/resistance for position traders. Previous Day VWAP - Yesterday's closing VWAP specifically, separate from current daily calculation. The Confluence Zone percentage setting determines how close multiple VWAPs must be to trigger a confluence alert. When two or more timeframe VWAPs converge within this threshold, you get a high-probability support/resistance zone. Session VWAPs for Global Markets For forex, crypto, and futures traders who operate in 24/7 markets, the indicator tracks three major global sessions: Asia Session - UTC 21:00 to 08:00. Gold colored line. Typically lower volatility, range-bound action that sets overnight levels. London Session - UTC 08:00 to 17:00. Orange colored line. Often determines daily direction with high volume European participation. New York Session - UTC 13:00 to 22:00. Blue colored line. Highest volume session globally. Sharp directional moves common. Previous session VWAP values display as horizontal lines when each session closes, acting as intraday support and resistance. The table shows which sessions are currently active with checkmarks. On-Chart Labels and Signals The indicator plots several types of labels directly on price action when significant events occur: Volume Spike Labels Fire when current bar volume exceeds configurable thresholds relative to both the previous bar and the 20-bar average. Default settings require 300% of previous bar AND 200% of average volume. Green labels indicate bullish candles. Red labels indicate bearish candles. These spikes often mark institutional entry points. Momentum Shift Labels Appear when VWAP acceleration changes direction. The Slowing label warns when an active trend loses steam, often preceding reversal. The Accelerating label confirms trend continuation or potential bottom during downtrends. Filters available to show only reversal signals in existing trends. VWAP Squeeze Labels Detect when standard deviation bands contract relative to ATR (Average True Range). Low volatility compression often precedes explosive breakout moves. When the squeeze fires (releases), a label appears with directional prediction based on VWAP slope. Divergence Labels Mark price/volume divergences using CVD (Cumulative Volume Delta) analysis: Bullish divergence: Price makes lower low, but CVD makes higher low. Hidden accumulation despite price weakness. Bearish divergence: Price makes higher high, but CVD makes lower high. Hidden distribution despite price strength. Dynamic VWAP Coloring The main VWAP line changes color based on its slope direction: Green - VWAP is rising. Institutional buying pressure. Volume-weighted price increasing. Red - VWAP is falling. Institutional selling pressure. Volume-weighted price decreasing. Gray - VWAP is flat. Consolidation or balance between buyers and sellers. This coloring can be disabled for a static blue line if you prefer cleaner visuals. The VWAP label next to the line shows the current trend direction and delta percentage. Calculated Projection Cone One of the most powerful features is the Calculated Projection Cone. Unlike traditional extrapolation methods that simply extend a trend line forward, this system analyzes what actually happened in similar market conditions throughout the chart's history. How It Works: The system classifies each bar into one of 27 unique market states: Z-Score Level - LOW (oversold), MID (fair value), or HIGH (overbought) based on configurable thresholds Trend Direction - DOWN, FLAT, or UP based on VWAP slope Volume Profile - LOW (below 80%), NORMAL (80-150%), or HIGH (above 150%) relative volume When you look at the current bar, the indicator: 1. Identifies the current market state (e.g., LOW Z-Score + UP Trend + HIGH Volume) 2. Searches through all historical bars on the chart that had the same state 3. Calculates what happened in those bars X bars later (where X is your projection horizon) 4. Shows you the probability of up/down and the average move size Visual Elements: Probability Cone - Colored green (bullish probability above 55%), red (bearish below 45%), or gold (neutral). The cone width represents the historical range of outcomes (roughly the 20th to 80th percentile). Center Line - Shows the average expected price based on historical outcomes in similar conditions. Probability Label - Displays direction probability and average move. Example: "67% UP (+0.8%)" means 67% of similar past cases moved up, averaging 0.8% gain. Fallback System: When the exact 27-state match has insufficient historical data: First fallback: Uses Z-Score plus Trend only (9 broader states, ignoring volume) Second fallback: Uses Z-Score only (3 states) When fallback is active, confidence automatically adjusts Settings: Projection Horizon - How many bars forward to analyze outcomes (5, 10, 15, or 20 bars, default 10) Lookback Period - Historical data window in days (30-252, default 60) Minimum Samples - Cases needed before using fallback (5-30, default 10) Z-Score Threshold - Bucket boundary for LOW/MID/HIGH classification (1.0, 1.5, or 2.0 sigma) Cloud Transparency - Adjust visibility (50-95%) Colors - Customize bullish, bearish, and neutral cone colors Confidence Levels: HIGH - 30 or more similar historical cases found MEDIUM - 15-29 similar cases LOW - Fewer than 15 cases (more uncertainty) IMPORTANT DISCLAIMER: The Calculated Projection is based on past patterns only. It is NOT a price prediction or financial advice. Similar market states in the past do not guarantee similar outcomes in the future. The probability shown is historical frequency, not a guarantee. Always combine with other analysis and never rely solely on projections for trading decisions. Alert Conditions The indicator includes over 20 pre-built alert conditions: Price vs VWAP: Price crosses above VWAP Price crosses below VWAP Band Touches: Price touches plus or minus one sigma band Price touches plus or minus two sigma band (extreme) Price touches plus or minus three sigma band (very extreme) Z-Score Extremes: Z-Score crosses above plus two (overbought extreme) Z-Score crosses below minus two (oversold extreme) Momentum and Trend: Momentum slowing Momentum accelerating Trend turns bullish/bearish/neutral Volume: Volume spike detected CVD Direction: Buyers take control Sellers take control High Probability Signals: Bullish reversal signal (oversold plus accelerating momentum) Bearish reversal signal (overbought plus slowing momentum) MTF and Special: MTF confluence zone entry VWAP squeeze fired Bullish/Bearish divergence detected Any significant signal (catch-all) All signals use confirmed bar data to prevent false alerts from incomplete candles. Settings Overview Settings are organized into logical groups: VWAP Settings Anchor Period selection Show/Hide VWAP line Dynamic coloring toggle VWAP label visibility Bands Visibility Toggle each of three bands independently Info Table Show/Hide table Table position (9 options) Text size Volume spike label settings with adjustable thresholds Momentum label settings with filters Signal labels limited to 5 most recent (auto-managed) Probability engine lookback period Multi-Timeframe VWAP Enable/Disable MTF system Show MTF in table Show MTF lines on chart Individual timeframe toggles Confluence zone threshold Squeeze detection toggle Session VWAPs Enable/Disable session tracking Apply to all assets option Show session labels Divergence Detection Enable/Disable divergence Pivot lookback period Show divergence labels Calculated Projection Enable/Disable projection cone Projection horizon (5, 10, 15, or 20 bars) Lookback period in days (30-252) Minimum samples threshold Z-Score classification threshold (1.0, 1.5, or 2.0 sigma) Cloud transparency adjustment Bullish, bearish, and neutral colors The Info Table - Your Trading Dashboard The right side of your chart displays a compact table with up to twelve metrics. Row-by-Row Breakdown: Asset and Period - Shows what the indicator detected (US Stock, Crypto, Forex, etc.) and your selected anchor period. The detection happens automatically based on exchange data, so VWAP resets and calculations match your actual trading instrument. Delta Percentage - How far current price sits from VWAP, expressed as a percentage. Positive means price trades above fair value. Negative means below. Large delta values (beyond 1-2%) often precede mean reversion moves. Day traders watch this for overextension. Z-Score - Statistical deviation from VWAP measured in standard deviations. Unlike raw delta, Z-Score accounts for volatility. A 2% move in a volatile biotech stock differs from 2% in a stable utility. Z-Score normalizes this. Values beyond plus or minus two sigma occur only 5% of the time statistically. Trend Direction - Whether VWAP itself is rising, falling, or flat. Rising VWAP means the volume-weighted average price is increasing, which indicates institutional accumulation. Falling VWAP suggests distribution. This differs from price trend since it weights by volume. Momentum State - Is the trend accelerating or slowing down? This measures the rate of change in VWAP slope. When an uptrend shows slowing momentum, it often precedes reversal. Accelerating momentum in a downtrend can signal capitulation and potential bottom. Relative Volume - Current bar volume compared to the 20-bar average, shown as percentage. Values above 150% indicate above-average activity. Spikes above 200-300% often mark institutional involvement. Low volume (below 80%) warns of potential fake moves. MTF Bias - Four checkmarks or X marks showing whether price sits above or below Daily, Weekly, Monthly, and Quarterly VWAP. Four checkmarks means strong bullish alignment across all timeframes. Four X marks indicates bearish alignment. Mixed readings suggest consolidation or transition. Band Probabilities - Historical statistics showing how often price touched each standard deviation band over your lookback period. This helps you understand if mean reversion or trend following works better for your specific instrument. Session Status - Which global trading sessions are currently active (Asia, London, New York). Shows checkmarks for active sessions. Important for forex and crypto traders who need to know when major liquidity windows open and close. Divergence State - Whether the indicator detects bullish or bearish divergence between price and cumulative volume delta. Bullish divergence occurs when price makes lower lows but buying pressure (CVD) makes higher lows, suggesting hidden accumulation. Confidence Score - A weighted composite of all factors displayed as a progress bar and percentage. Combines MTF alignment, Z-Score, trend direction, volume delta, momentum, and relative volume into a single 0-100 score. Higher scores indicate stronger conviction setups. Calculated Projection - When the Projection Cone is enabled, shows the historical probability of price direction and expected move. For example: "▲ 67% (+0.8%)" means in similar market states historically, price moved up 67% of the time with an average gain of 0.8%. The system analyzes 27 unique market states based on Z-Score, Trend, and Volume conditions. Recommended Use Cases Day Trading Stocks: Use Session anchor with Band 1 visible. Watch for price returning to VWAP after morning move. Volume spikes near VWAP often mark institutional accumulation zones. Swing Trading: Use Weekly or Rolling 21D anchor. Enable MTF lines for Daily and Weekly levels. Trade pullbacks to these levels in direction of MTF bias. Crypto and Forex: Enable Session VWAPs. Use Rolling anchors to avoid artificial resets. Monitor session transitions for breakout opportunities. Mean Reversion: Focus on Z-Score reaching plus or minus two. Add Band 2 visibility. Combine with slowing momentum for highest probability reversals. Trend Following: Watch MTF bias alignment. Four checkmarks plus accelerating momentum plus high volume confirms trend continuation setups. Projection Planning: Enable the Calculated Projection to see what happened historically in similar market conditions. Use 5-10 bars for intraday setups, 15-20 bars for swing trade planning. Focus on high probability readings (above 60%) with HIGH confidence (30 or more samples). The cone shows the probable range of outcomes based on actual historical data. Combine with other factors like MTF alignment and volume for higher conviction setups. Important Notes The indicator does not repaint. MTF values use previous period's confirmed data. Rolling VWAP works best on 15-minute timeframes and above due to bar lookback requirements. Session VWAPs apply to global markets by default (forex, crypto, futures). Enable the all-assets option for stocks if desired. Volume data for forex represents tick volume, not actual traded volume. All alert conditions fire only on confirmed (closed) bars to prevent false signals. The Calculated Projection updates each bar as market state changes. This is expected behavior. The projection shows probabilities based on similar past conditions, not a fixed prediction. Q AND A Q: Does this indicator repaint? A: No. The main VWAP calculation uses standard TradingView VWAP methodology. Multi-timeframe values use previous period's confirmed data with appropriate lookahead settings. All alert signals require bar confirmation. Q: Why does my Rolling VWAP look different on 1-minute versus 15-minute charts? A: Rolling VWAP calculates across a fixed number of trading days. On very short timeframes, the bar lookback may hit TradingView limits. For best Rolling VWAP accuracy, use 15-minute or higher timeframes. Q: Can I use this on any instrument? A: Yes. The indicator automatically detects asset type and adjusts behavior. Stocks use standard market hours. Crypto uses 24/7 calculations. Forex uses tick volume. Everything adapts automatically. Q: What does the Confidence Score actually measure? A: The score combines six weighted factors: MTF alignment (25%), Z-Score position (20%), Trend direction (20%), CVD pressure (15%), Momentum state (10%), and Relative volume (10%). Higher scores indicate more factors aligned in one direction. Q: Why are Session VWAPs not showing on my stock chart? A: Session VWAPs apply to 24-hour markets by default (forex, crypto, futures). For stocks, enable the Use for All Assets option in Session VWAP settings. Q: The Divergence labels appear delayed. Is this a bug? A: Divergence detection requires pivot confirmation, which needs bars on both sides of the pivot point. The label appears at the actual pivot location (several bars back) once confirmed. This is intentional and prevents false signals. Q: Can I change the band colors? A: Yes. Each of the three bands has its own color input setting. You can customize Band 1, Band 2, and Band 3 colors to match your preferences. The defaults are Aqua, Fuchsia, and Purple. The main VWAP line color adapts dynamically based on slope direction or can be set to static blue. Q: How do I set up alerts? A: Right-click on the chart, select Add Alert, choose this indicator, and select your desired condition from the dropdown. All conditions include descriptive alert messages with relevant data. Q: What is the Probability Engine lookback period? A: This setting determines how many trading days the indicator analyzes to calculate band touch rates and mean reversion statistics. Default is 60 days (approximately 3 months). Longer periods provide more stable statistics but may miss recent behavior changes. Q: Why do I see fewer labels than expected? A: Signal labels (Volume, Momentum, Squeeze, Divergence) are limited to 5 most recent labels on the chart to keep it clean. When a new label appears, the oldest one is automatically removed. Additionally, momentum labels have several filters: check the slope multiplier setting (higher values require stronger trends) and the Only Reversal Signals option (when enabled, labels only appear for potential reversals, not trend confirmations). Q: What is the Calculated Projection and how accurate is it? A: The Calculated Projection analyzes what happened in past market conditions similar to the current state. It classifies each bar by Z-Score level, Trend direction, and Volume profile (27 unique states), then shows the historical probability of up vs down and the average move size. It is NOT a price prediction or guarantee. The probability shown is how often similar conditions led to up/down moves historically, not a future guarantee. Always use it as one input among many. Q: Why does the Projection probability change? A: The projection updates on each bar as market state changes. If Z-Score moves from LOW to MID, or trend shifts from UP to FLAT, the system looks up a different historical category. This is expected behavior. The projection shows what happened in similar past conditions to the current bar's state. Q: The Projection shows LOW confidence. What does that mean? A: Confidence levels indicate sample size: HIGH means 30 or more historical cases found, MEDIUM means 15-29 cases, LOW means fewer than 15 cases. When sample size is low, the system uses a fallback: first aggregating by Z-Score plus Trend only (ignoring volume), then by Z-Score only. LOW confidence means less statistical reliability, so weight other factors more heavily in your decision. Q: Why does the cone sometimes show 50/50 probability? A: A 50/50 reading means that in similar past market states, price moved up roughly half the time and down half the time. This indicates a neutral or balanced condition where historical patterns provide no directional edge. Consider waiting for a higher probability setup or using other analysis methods. CREDITS AND ACKNOWLEDGMENTS Methodology Foundation: VWAP (Volume Weighted Average Price) - Standard institutional benchmark calculation, widely used since the 1980s for algorithmic execution and fair value assessment Standard Deviation Bands - Statistical volatility measurement applying normal distribution principles to price deviation from mean Z-Score Analysis - Classic statistical normalization technique for comparing values across different volatility regimes Cumulative Volume Delta (CVD) - Order flow analysis concept measuring aggressive buying versus selling pressure Concept Integration: Mean reversion probability engine - Custom historical statistics tracking for band touch rates Momentum acceleration detection - Second derivative analysis of VWAP slope changes VWAP Squeeze - Volatility compression concept adapted from TTM Squeeze methodology applied to VWAP bands versus ATR Confidence scoring system - Weighted composite scoring combining multiple technical factors Calculated Projection Cone - Probability-based projection using 27-state market classification (Z-Score, Trend, Volume) with historical outcome analysis and weighted fallback system All calculations use standard public domain formulas and TradingView built-in functions. No proprietary third-party code was used. For questions, feedback, or feature requests, please comment below or send a private message. Happy Trading!
อินดิเคเตอร์ Pine Script®
โดย orenluxy
11
VPOCS ZScoreAn indicator Showing Candle POC's. Added a Zscore Filter to filter out the High volume candle's. I like to use at Key Support and resistance Area's to see Absorbtion and Offside positions only on High volume Candles ( The high volume candle part is Key! ). Thoose candles Generally indicate forced participants opening or closing positions, or "Breakout traders entering" positions. When i see a Hi-Volume at S/R levels and price is rejecting ( trading away from the POC ) ill take that as a trigger for a trade. - Dynamic Support and resistance. - Show Offside and and Trapped traders You can tweak the Zscore nominator for Less of more Frequent hits.
อินดิเคเตอร์ Pine Script®
โดย Gumbotx
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations. Sources used: This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear The following scripts were used in this publication: 1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script: 2. Wavetrend Oscillator with crosses, Author: LazyBear 3. Squeeze Momentum Oscillator, Author: LazyBear This script functions based on the following criteria being true: 1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell) 2. Squeeze Momentum value is increasing (buy) or decreasing (sell) 3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell) By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend). This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile. How to use: Simply adjust the settings to your preference and read the given signals as generated. Settings There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart. OBV Oscillator Settings The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value. The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style. Wavetrend Settings The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4) Squeeze Momentum Settings The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length . Style Setting You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals. Time Frames: While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame. Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script) SPY 1 Minute (Factory Settings): SPX 15 minutes (Factory Settings): Considerations This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there... As Always... Happy Trading. -Not_A_Mad_Scientist (GreatfulFutures Trade University)
อินดิเคเตอร์ Pine Script®
โดย not_a_mad_scientist
Volume essential parameters overlayVolume EPO – Essential Volume Parameters Overlay 1. Motivation and design philosophy Volume EPO is designed as a conceptual overlay rather than a self contained trading system. The main idea behind this script is to take complex, foundational market concepts out of heavy, menu driven strategies and express them as lightweight, independent layers that sit on top of any chart or indicator. In many TradingView scripts, a single strategy tries to handle everything at once: signal logic, risk settings, visual cues, multi timeframe controls, and conceptual explanations. This usually leads to long input menus, performance issues, and difficult maintenance. The architectural approach behind Volume EPO is the opposite: keep the core strategy lean, and move the explanation and measurement of key concepts into dedicated overlays. In this framework, Volume EPO is the base layer for the concept of volume. It does not decide anything about entries or exits. Instead, it exposes and clarifies how different definitions of volume behave candle by candle. Other layers or strategies can then build on top of this understanding. 2. What Volume EPO does Volume EPO focuses on four essential volume parameters for each bar: - Buy volume - Sell volume - Total volume - Delta volume (the difference between buy and sell volume) The script presents these parameters in a compact heads up display (HUD) table that can be positioned anywhere on the chart. It is designed to be visually minimal, language aware, and usable on top of any other indicator or price action without cluttering the view. The indicator does not output signals, alerts, arrows, or strategy entries. It is a descriptive and educational tool that shows how volume is distributed, not a prescriptive tool that tells the trader what to do. 3. Two definitions of volume A central theme of this script is that there is more than one way to define and interpret “volume” inside a single candle. Volume EPO implements and clearly separates two different approaches: - A geometric, candle based approximation that uses only OHLC and volume of the current bar. - An intrabar, data driven definition that uses lower timeframe up and down volume when it is available. The user can switch between these modes via the calculation method input. The mode is prominently shown inside the on chart table so that the context is always explicit. 3.1 Geometry mode (Source File, approximate) In Geometry mode, Volume EPO works only with the current bar’s OHLC values and total volume. No lower timeframe data is required. The candle’s range is defined as high minus low. If the range is positive, the position of the close inside that range is used as a simple model for how volume might have been distributed between buyers and sellers: - The closer the close is to the high, the more of the total volume is attributed to the buying side. - The closer the close is to the low, the more of the total volume is attributed to the selling side. - In a rare case where the bar has no price range (for example a flat or doji bar), total volume is split evenly between buy and sell volume. From this model, the script derives: - Buy volume (approximated) - Sell volume (approximated) - Total volume (as reported by the bar) - Delta volume as the difference between buy and sell volume This approach is intentionally labeled as “Geometry (Approx)” in the HUD. It is a theoretical reconstruction based solely on the candle’s geometry and total volume, and it is always available on any market or timeframe that provides OHLCV data. 3.2 Intrabar mode (Precise) In Intrabar mode, Volume EPO uses the TradingView built in library for up and down volume on a user selected lower timeframe. Instead of inferring volume from the shape of the candle, it reads the underlying lower timeframe data when that data is accessible. The script requests up and down volume from a lower timeframe such as 15 seconds, using the official TA library functions. The results are then interpreted as follows: - Buy volume is taken as the absolute value of the up volume. - Sell volume is taken as the absolute value of the down volume. - Total volume is the sum of buy and sell volume. - Delta volume is provided directly by the library as the difference between up and down volume. If valid lower timeframe data exists for a bar, the bar is counted as covered by Intrabar data. If not, that bar is marked as invalid for this precise calculation and is excluded from the covered count. This mode is labeled “Precise” in the HUD, together with the selected lower timeframe, because it is anchored in actual intrabar data rather than in a geometric model. It provides a closer view of how buying and selling pressure unfolded inside the bar, at the cost of requiring more data and being dependent on the availability of that data. 4. Coverage, lookback, and what the numbers mean The top part of the HUD reports not only which volume definition is active, but also an additional line that describes the effective coverage of the data. In Intrabar (Precise) mode, the script displays: - “Scanned: N Bars” Here, N counts how many bars since the indicator was loaded have successfully received valid lower timeframe delta data. It is a measure of how much of the visible history has been truly covered by intrabar information, not a lookback window in the sense of a rolling calculation. In Geometry mode, the script displays: - “Lookback: L Bars” In this extracted layer, the lookback value L is purely descriptive. It does not change how the current bar’s volume is computed, and it is not used in any iterative or statistical calculation inside this script. It is meant as a conceptual label, for example to keep the volume layer consistent with a broader framework where lookback length is a structural parameter. Summarizing these two fields: - Scanned tells you how many bars have been processed using real intrabar data. - Lookback is a descriptive parameter in Geometry mode in this specific overlay, not a direct driver of the computations. 5. The HUD layout on the chart The on chart table is intentionally compact and structured to be read quickly: - Header: a title identifying the overlay as Volume EPO. - Mode line: explicitly states whether the script is in Precise or Geometry mode, and for Precise mode also shows the lower timeframe used. - Coverage line: - In Precise mode, it shows “Scanned: N Bars”. - In Geometry mode, it shows “Lookback: L Bars”. - Volume block: - A line for buy and sell volume, marked with clear directional symbols. - A line for total volume and the absolute delta, accompanied by the sign of the delta. - Numeric formatting uses human friendly suffixes (for example K, M, B) to keep the display readable. - Footer: the current symbol and a time stamp, adjusted by a user selectable timezone offset so that the HUD can be aligned with the trader’s local time reference. The table can be positioned anywhere on the chart and resized via inputs, and it supports multiple color themes and languages in order to integrate cleanly into different chart layouts. 6. How to use Volume EPO in practice Volume EPO is meant to be read together with price action and other tools, not in isolation. Typical uses include: - Studying how often a strong directional candle is actually supported by dominant buy or sell volume. - Comparing the behavior of delta volume between Geometry and Intrabar definitions. - Building a personal intuition for how intrabar data refines or contradicts the simple candle based approximation. - Feeding these insights into separate, lean strategy scripts that do not need to carry the full explanatory logic of volume inside them. Because it is an overlay layer, Volume EPO can be stacked with other custom indicators without adding new signals or complexity to their logic. It simply adds a clear and consistent view of volume behavior on top of whatever the trader is already watching. 7. Educational and non signalling nature Finally, it is important to stress that Volume EPO is not a trading system, not a signal generator, and not financial advice. The script does not tell the user when to enter or exit. It only reports how different definitions of volume describe the current bar. Deciding whether to trade, how to trade, and which risk parameters to use remains entirely with the user and with their own strategy. Volume EPO provides context and clarity around the concept of volume so that those decisions can be informed by a better understanding of how buying and selling pressure is structured inside each candle. Note: Even on lower timeframes, every reconstruction of volume remains an approximation, except at the true single tick level. However, the closer the chosen lower timeframe is to a one tick stream, the more accurately it can reflect the underlying order flow and balance between buying and selling pressure.
อินดิเคเตอร์ Pine Script®
โดย ata_sabanci
4
Regime Filter [BigBeluga]🔵 OVERVIEW Regime Filter is a dual-factor trend condition tool combining price trend momentum and volume expansion into a single, easy-to-read visual framework. It quantifies recent trend direction and volume shifts, then shows them as: Two oscillator plots for Trend and Volume regimes Dynamic candle coloring for trend clarity A quadrant scatter map in your chart corner for immediate regime recognition. This filter helps traders quickly detect when a trend is healthy & confirmed by strong volume, or weakening & vulnerable due to low volume. 🔵 CONCEPTS Trend Oscillator: A loop-based trend value calculated by comparing the current smoothed price (HMA of HLC3) against its own trailing history. Positive values indicate trend-up regimes, negative values signal trend-down phases. Volume Oscillator: Similar loop logic but on smoothed volume (HMA of Volume) — highlighting whether trading activity is expanding or contracting relative to past bars. hma = ta.hma(hlc3, 15) vol = ta.hma(volume, 15) for i = 0 to len if hma > hma trend += 1 else trend -= 1 for i = 0 to len if vol > vol voltrend += 1 else voltrend -= 1 Regime Map Scatter Plot: A unique 2D quadrant displayed in the bottom-right corner. This shows where the market is sitting: > Top Right (green): Trend ↑ and Volume ↑ → strong confirmed up trend. > Top Left (red): Trend ↓ but Volume ↑ → strong sell momentum. > Bottom Right (blue): Trend ↑ but Volume ↓ → uptrend losing steam. > Bottom Left (yellow): Trend ↓ and Volume ↓ → weak bearish drift. Dynamic Candle Coloring: Candles are colored by trend only: green for uptrends, red for downtrends, and orange near reversals. Threshold Fills: The oscillator region is shaded green above +10 (healthy uptrend) and red below -10 (strong downtrend) for instant confidence. 🔵 FEATURES Normalized trend and volume values adapt automatically to your lookback length. Candlestick color overrides highlight current trend state in real-time. Clear zero-line and fill bands help you gauge strength vs. noise. Scatter regime dashboard updates live to track when trend and volume align or decouple. Color gradients show intensification or cooling in both oscillators and the regime map. 🔵 HOW TO USE Look for sustained positive trend and volume values to confirm strong directional moves. Watch for the scatter dot in the green square (top right) for high-confidence breakouts. If the dot drops to bottom right, uptrend may be tiring — possible exit zone. If the dot jumps top left, bearish drive is reinforced by heavy volume — caution on longs. Use the orange trend coloring as an early warning that trend pressure may be shifting. Combine with breakout levels or moving averages for a robust regime filter system. 🔵 CONCLUSION The Regime Filter distills price trend and volume dynamics into an actionable multi-mode display: oscillators, color-coded candles, and an intuitive scatter map. This all-in-one layout helps traders visually read market regime strength and spot fading trends before they turn — perfect for swing traders, intraday scalpers, and macro trend followers alike.
อินดิเคเตอร์ Pine Script®
โดย BigBeluga
17
Penny Stock Golden Cross ScannerPenny Stock Golden Cross Scanner Scan and track potential breakout opportunities in penny stocks with this Golden Cross Scanner. Designed for traders looking at low-priced, high-volume stocks, this indicator identifies bullish setups using 50, 100, and 200-period moving averages. Key Features: ✅ Monitors up to 10 user-defined tickers. ✅ Filters penny stocks by maximum price and minimum volume. ✅ Detects proximity to 100 MA and 200 MA for potential golden cross or support/resistance signals. ✅ Assigns signal tiers for each stock (Tier 1 🔥, Tier 2 ⚡, Tier 3 📊) based on price action relative to moving averages. ✅ Customizable scanner table with position options on the chart. ✅ Real-time plotting of 50, 100, and 200 moving averages for context. ✅ Option to display only stocks currently generating signals.
อินดิเคเตอร์ Pine Script®
โดย Timmy741
1
Wyckoff + VSA Ultimate - Complete Market Analysis **Wyckoff + VSA Ultimate** combines three proven methodologies into one powerful indicator: 🔷 **Wyckoff Method** - Identifies market accumulation and distribution phases 🔷 **Volume Spread Analysis** - Confirms moves with volume and price spread 🔷 **Random Walk Index** - Validates trend strength and direction **MAIN SIGNALS:** 📊 **Wyckoff Signals** (Green = Bullish, Red = Bearish) • SC (Selling Climax) - Major buying opportunity • BC (Buying Climax) - Major selling opportunity • AR (Automatic Rally) - Confirms accumulation • DAR (Automatic Reaction) - Confirms distribution • ST (Secondary Test) - Final test before move 📊 **VSA Patterns** • Upthrust bars (weakness after rally) • Reverse upthrust (strength after decline) • No demand/supply bars • Stopping volume • Effort failures **KEY FEATURES:** ✅ Multiple signal confirmation reduces false signals ✅ Real-time info table shows phase, volume, trends ✅ Dynamic stop loss levels calculated automatically ✅ Accumulation/Distribution boxes on chart ✅ Customizable filters for your trading style ✅ 12 alert conditions for all major signals **HOW TO USE:** For Swing Trading (4H/Daily): 1. Enable "Require VSA Confirmation" 2. Wait for SC or BC signals 3. Use displayed stop levels 4. Target next opposite phase For Day Trading (15m/1H): 1. Enable "Require Trend Confirmation" 2. Trade only trend-aligned signals 3. Increase volume threshold to 1.5 4. Use tighter risk management **BEST FOR:** ✅ Stocks (high volume) ✅ Forex majors ✅ Crypto (BTC, ETH) ✅ Index futures **SETTINGS:** Customize everything: • RSI & Pivot parameters • Volume & Spread analysis • Trend periods (RWI) • Signal filters • Visual display options **ALERTS:** Pre-configured alerts for: • All Wyckoff signals • VSA reversals • Strong buy/sell combinations **Credits:** Integrates Wyckoff (faytterro) and VSA (theehoganator) methods. **Disclaimer:** Educational purposes only. Use proper risk management. Past performance doesn't guarantee future results. --- Pine Script™ v6 ---
อินดิเคเตอร์ Pine Script®
โดย alegorico
Low Volatility Profiles [BigBeluga]🔵 OVERVIEW Low Volatility Profiles is a market compression and breakout-anticipation tool that identifies phases of low volatility using ADX and then builds a real-time volume profile inside the detected range. This helps traders spot accumulation/distribution zones and prepare for explosive moves when volatility expands. When volatility is low ➜ price coils ➜ volume organizes ➜ breakouts become highly actionable. This tool visualizes that process with dynamic range boxes + volume bins + PoC extension. 🔵 CONCEPTS Low-Volatility Detection — Uses ADX threshold & cross logic to define volatility contraction regimes. Range Construction — Draws a price box that expands with highs/lows during the compression phase. Micro Volume Profile — Builds a volume histogram inside the range using bins (micro volume nodes). Delta Calculation — Tracks positive vs negative volume to gauge buyer/seller pressure within range. Point of Control (PoC) — Highlights the price level with max traded volume inside the range. PoC Extension — Optionally extends PoC into future bars to show potential reaction zone after breakout. Breakout Validation — Ends the profile zone when price breaks above or below the modeled range. Noise Removal — Automatically removes invalid or small ranges to prevent chart clutter. This tool turns consolidation into actionable structure by exposing where smart money accumulates before trending moves. 🔵 FEATURES ADX-Driven Range Detection — Identify when market transitions into low-volatility compression. Configurable ADX Threshold — Set sensitivity for contraction zones. Cross-Type Option — Detect low volatility via cross under / crossover logic. Dynamic Range Box — Expands live with price as contraction unfolds. Micro Volume Profile (Bins) — Distributes volume across bins inside range for micro POC mapping. Volume Delta Visualization — Shows imbalance inside consolidation (accumulation vs distribution). Real-Time PoC Highlight — Instantly shows most traded price inside the compression. PoC Extension Mode — Extend PoC forward to project reaction levels post-breakout. Clean Auto-Reset Logic — Removes boxes if range invalid or breakout occurs too fast. Optional Filled Boxes — Heatmap-style profile visualization inside range body. ADX Line + Threshold Plot — Visual assistance for volatility state monitoring. 🔵 HOW TO USE Identify Accumulation Zones — When price enters low-volatility ADX condition and profile builds. Watch the PoC — PoC acts as battle zone; move above/below can signal initiator strength. Breakout Strategy — Trade break above/below the range after compression. Mean Reversion Inside Range — Fade edges while price remains inside compression box. Combine With Trend Tools — Use trend confirmation (MA/EMA/Flow indicators) after breakout. Use Delta Clues — Positive delta tilt suggests accumulation; negative suggests distribution. Monitor Range Size — Longer build + high PoC volume = stronger potential breakout energy. 🔵 CONCLUSION Low Volatility Profiles isolates accumulation phases and maps volume concentration before volatility expansion. By combining ADX compression, micro volume distribution, and PoC tracing, traders gain an edge in anticipating powerful breakout cycles and institutional positioning. Trade the quiet moment before the storm — where smart money prepares the move, and the real opportunity emerges.
อินดิเคเตอร์ Pine Script®
โดย BigBeluga
11
Volume Gaps & Imbalances (Zeiierman)█ Overview Volume Gaps & Imbalances (Zeiierman) is an advanced market-structure and order-flow visualizer that maps where the market traded, where it did not, and how buyer-vs-seller pressure accumulated across the entire price range. The core of the indicator is a price-by-price volume profile built from Bullish and Bearish volume assignments. The script highlights: True zero-volume voids (regions of no traded volume) Bull/Bear imbalance rows (horizontal volume slices) A multi-section Delta Panel, showing aggregated Buy–Sell pressure per vertical sector A clean separation between profile structure, volume efficiency, and delta flows Together, these components reveal market inefficiencies, displacement zones, and fair-value regions that price tends to revisit — making it an exceptional tool for structural trading, order-flow analysis, and contextual confluence. Highlights Identifies true volume voids (untraded price regions), more precisely than standard FVG tools Plots Bull vs Bear volume at each price row for fine-grained imbalance reading Includes a sector-based Delta Grid that aggregates Buy–Sell dominance █ How It Works ⚪ Profile Construction The indicator scans a user-defined Lookback window and divides the full high–low range into Rows. Each bar's volume is allocated into the correct price bucket: Bullish volume when close > open Bearish volume when close <= open This produces three values per price level: Bull Volume Bear Volume Total Volume & Imbalance Profile Rows where no volume at all occurred are marked as volume gaps — signaling true untraded zones, often produced by impulsive imbalanced moves. ⚪ Zero-Volume Gaps (True Voids) Unlike candle-based Fair Value Gaps (FVGs), volume gaps identify the deeper, structural inefficiency: Price moved so fast through a region that no trades occurred at those prices. These areas often attract revisits because liquidity never exchanged hands there. ⚪ Bull/Bear Volume Imbalance Every price row is drawn using two colored horizontal segments: Bull segment proportional to bullish volume Bear segment proportional to bearish volume This reveals where buyers or sellers dominated individual price levels. ⚪ Delta Panel The full volume profile is cut into Summary Sections. For each block, the script computes: Δ = (Bull Volume − Bear Volume) ÷ Total Volume × 100% █ How to Use ⚪ Spot True Voids & Inefficiencies Zero-volume zones highlight where the price moved without trading. These areas often behave like: Refill zones during retracements Targets during displacement Thin regions price slices through quickly Ideal for both SMC-style trading and structural mapping. ⚪ Identify Bull/Bear Control at Each Price Level Broad bullish segments show zones of buyer absorption, while wide bearish slices reveal seller control. This helps you interpret: Where buyers supported the price Where sellers defended a level Which price levels matter for continuation or reversal ⚪ Use Delta Sectors for Contextual Direction The delta panel shows where market pressure is accumulating, revealing whether the profile is dominated by: Bullish flow (positive delta) Bearish flow (negative delta) Neutral flow (balanced or minimal delta) █ Settings Lookback – Number of bars scanned to build the profile. Rows – Vertical resolution of price bins. Source – Price source used to assign volume into rows. Summary Sections – Number of vertical delta sectors. Summary Width – Horizontal size of the delta bar panel. Gap From Profile – Distance between profile and delta grid. Show Delta Text – Toggle Δ% labels. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
อินดิเคเตอร์ Pine Script®
โดย Zeiierman
29
Accumulation And Distribution Zones (Zeiierman)█ Overview Accumulation And Distribution Zones (Zeiierman) is a structural zone indicator that highlights where the market has recently been absorbing sell pressure (Accumulation) or releasing buy pressure (Distribution). The indicator tracks a refined sequence of swing highs and lows and measures how these swings tighten, expand, or step directionally. When they form staircase-style structures such as higher lows with compressing highs for Accumulation or lower highs with compressing lows for Distribution, the script marks these areas as shifts in market control. Once the full pattern completes, the indicator converts it into an Accumulation or Distribution zone. Each zone is based on a confirmed structural sequence rather than a single point, making it more reliable and reflective of actual market behavior. The indicator can also display a mini-volume profile within each zone and extend POC levels forward, showing where trading activity clustered most. Combined, these features reveal areas where price has recently shown acceptance, absorption, or rejection, helping you understand whether current price action is reacting to, breaking from, or retesting these important structural regions. █ How It Works ⚪ Swing Structure The indicator builds its foundation by detecting swing highs and lows using a configurable Swing Detection Window. Each confirmed swing is stored with its price, time, bar index, and direction. If two consecutive swings share the same direction, only the more extreme one is kept. This produces a clean structural sequence that removes noise and keeps only meaningful turning points. ⚪ Accumulation vs Distribution Pattern Logic Using the refined swing sequence, the script looks for staircase-style formations that signal shifts in control: Accumulation (bottoming): higher lows combined with compressing highs. Distribution (topping): lower highs combined with compressing lows. Two detection modes are available: Quick for compact 4-swing formations Slow for broader 6-swing structures When a full structural pattern completes, the indicator marks the zone and resets the swing buffer for the next formation. ⚪ Volume Profile Construction The price range between the zone’s upper and lower boundary is divided into several Rows. For every bar within the zone’s swing range, the bar’s volume is added to the appropriate price row. Volume is classified as: Bullish volume when close > open Bearish volume when close < open Each row is drawn as two horizontal segments (bull and bear), colored with smooth gradients based on your bull/bear color settings. This creates a compact profile that reveals where trading activity is concentrated inside the zone and whether buyers or sellers dominate those price levels. █ How to Use The indicator is designed to provide context and confluence, not raw buy/sell signals. ⚪ Spot Fresh Accumulation & Distribution Use newly printed zones as a map of where the market has recently: Absorbed selling and formed a floor (Accumulation below price). Absorbed buying and formed a cap (Distribution above price). In a trending environment, fresh accumulation zones below price are often areas to watch for pullbacks, while distribution zones above price can act as sell zones or targets. ⚪ Volume Profile Longer horizontal bars show where the market traded the most volume inside the zone. Bull-leaning rows inside an accumulation zone often signal strong buying interest during the formation. Bear-leaning rows inside a distribution zone highlight concentrated selling pressure. By combining this volume distribution with the zone label and the broader trend context, you can judge whether the structure is more likely to hold, break, or retest as the price approaches it again. ⚪ POC (Point of Control) Trading Extended POC zones (Regular or Faded) can be treated as dynamic support/resistance rails: When price revisits a prior accumulation POC and rejects it from above, the level may act as support. When price retests a distribution POC from below and fails to break through, it can act as resistance. ⚪ Combine with Your Own Strategy The script does not decide direction for you. You get the most value by combining it with: Your own trend filters (moving averages, higher timeframe structure, volatility measures). Your preferred entry models (reversal candles, momentum breaks, liquidity grabs, etc.). Higher-timeframe mapping. Think of this tool as a map of where the market did meaningful business. You decide how to trade around those areas. █ Settings Acc/Dist Ranges – Master switch for drawing all Accumulation and Distribution zones. Turn this off to temporarily hide boxes while leaving supporting logic active. Pattern – Shows or hides the swing-based pattern outline that formed each zone. Good for structural debugging and education. Pattern Sensitivity Quick – more responsive, detects smaller compact structures. Slow – stricter, focuses on wider and more established zones. Swing Detection Window – Pivot width used to confirm swing highs and lows. Larger values filter noise and produce bigger zones; smaller values pick up more minor structures. Volume Profile – Enables the embedded volume profile inside each zone. Rows – Number of price slices used to aggregate volume in the zone. Higher values give more detail but increase visual density. Switch Order – Flips the horizontal order of bull vs bear volume segments within each row. Extend Zones – Behaviour of POC and zone extension: None – No forward extension. Faded Zones – Store and draw up to four past POC zones as faded horizontal levels. Regular Zones – Extend POC boxes forward until price breaks out. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
อินดิเคเตอร์ Pine Script®
โดย Zeiierman
6
Momentum + Volume Percentile This advanced momentum indicator combines smoothed momentum analysis with percentile-based volume filtering to identify high-quality trading opportunities backed by significant market participation. How It Works: The indicator calculates momentum (rate of change) over a customizable period and applies multiple smoothing techniques to reduce noise. It then filters price action by highlighting only periods where volume exceeds a specified percentile threshold. The algorithm: Calculates raw momentum based on price changes over the specified period Applies customizable smoothing (SMA, EMA, WMA, or HMA) to the momentum values Computes a moving average of the smoothed momentum as a trend reference Analyzes volume over a lookback period to establish percentile rankings Highlights candles where volume exceeds the percentile threshold with color-coded backgrounds Distinguishes between bullish (green) and bearish (red) high-volume events
อินดิเคเตอร์ Pine Script®
โดย andreapsoroulas21
Volume weighted average price band strategy [Kevin-Patrick]VWAP Bands strategy, Credit VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals. Key Features Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis. Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements. Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions. Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones. Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions. Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups. + Strategy setting by Kevin-Patrick
กลยุทธ์ Pine Script®
โดย Kevin-Patrick