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Volumeindicator

Market Strategies - Strat Volume Bars# Market Strategies – Strat Volume Bars ## Overview Market Strategies – Strat Volume Bars brings The Strat directly into your volume analysis by color-coding every volume bar based on the candle's Strat classification. Instead of viewing volume as a standalone metric, this indicator allows traders to instantly identify whether volume is occurring on an Inside Bar (1), Directional Up Bar (2U), Directional Down Bar (2D), or Outside Bar (3). This provides a deeper layer of context by combining price action structure with volume participation. --- ## Strat Volume Classifications ### 🟨 Yellow Volume Bar – Inside Bar (1) An Inside Bar occurs when the current candle remains completely inside the range of the previous candle. **Interpretation:** * Market compression * Indecision * Energy building * Potential setup candle before expansion High volume on an Inside Bar can indicate absorption or accumulation before a larger move develops. --- ### 🟩 Green Volume Bar – 2 Up A 2 Up candle takes out the previous candle's high without taking out the previous candle's low. **Interpretation:** * Bullish directional movement * Buyers in control * Expansion to the upside When accompanied by volume above the average volume line, it may signal strong participation behind the move. --- ### 🟥 Red Volume Bar – 2 Down A 2 Down candle takes out the previous candle's low without taking out the previous candle's high. **Interpretation:** * Bearish directional movement * Sellers in control * Expansion to the downside Higher-than-average volume on a 2 Down often suggests increased selling pressure. --- ### 🟪 Fuchsia Volume Bar – Outside Bar (3) An Outside Bar takes out both the previous candle's high and low. **Interpretation:** * Volatility expansion * Aggressive participation from both buyers and sellers * Potential reversal or continuation Large-volume Outside Bars often represent important decision points in the market. --- ## Average Volume Line The indicator includes an optional moving average volume line to help identify abnormal participation. ### Volume Above Average * Increased market interest * Greater conviction * Potential trend continuation ### Volume Below Average * Reduced participation * Lower conviction * Higher probability of chop or failed moves --- ## How to Use ### Bullish Conditions Look for: * Green (2 Up) volume bars * Volume above average * Breaks of important market structure * Alignment with higher timeframe direction ### Bearish Conditions Look for: * Red (2 Down) volume bars * Volume above average * Breaks below support or key levels * Alignment with higher timeframe direction ### Compression Setups Look for: * Yellow (Inside Bar) volume bars * Tight consolidation * Followed by a directional 2 Up or 2 Down break ### Volatility Events Look for: * Fuchsia (Outside Bar) volume bars * Significant volume spikes * Confirmation from the next candle --- ## Key Benefits ✔ Instantly identify Strat candle types through volume ✔ Quickly spot volume-supported directional moves ✔ Easily distinguish compression from expansion ✔ Helps validate breakouts and breakdowns ✔ Works across all markets and timeframes ✔ Complements The Strat methodology without cluttering the chart --- ## Disclaimer This indicator is designed as a market structure and volume visualization tool. It should be used alongside proper risk management, market context, and confirmation techniques. No indicator should be used as a standalone trading system.
Pine Script®指标
由samb817提供
volume profil multitimeframe**Volume Profile D/W/M — Auction Map** Volume Profile D/W/M is a visual auction-analysis indicator designed to display confirmed Daily, Weekly, or Monthly volume profiles on the chart. It focuses on value areas, volume concentration, auction structure, and important reaction zones. The script is intended for discretionary market analysis and does not generate automatic buy or sell signals. --- ## Overview This indicator builds a volume profile from a selected confirmed period: * Daily * Weekly * Monthly Only one mode is active at a time. The goal is to keep the chart readable while still showing the most important auction levels. The profile highlights where volume was concentrated during the selected period and displays key levels such as POC, VAH, VAL, HVN, LVN, VWAP, Initial Balance, naked POC levels, imbalance zones, confluence zones, and auction-state information. --- ## Main Features ### Confirmed Volume Profile The script draws confirmed profiles from closed periods. This makes historical profiles stable and prevents them from constantly changing after the period has closed. Available profile modes: * Daily profile * Weekly profile * Monthly profile The current developing profile can also be displayed with the dedicated option, but it should be understood as a live preview and not as a confirmed profile. --- ### POC, VAH and VAL The script displays the main volume profile levels: * POC: the price row with the highest volume * VAH: upper boundary of the value area * VAL: lower boundary of the value area These levels are used to read market acceptance, rejection, rotation, and possible return-to-value behavior. --- ### HVN and LVN The script can highlight: * HVN: high-volume nodes, where the market accepted price * LVN: low-volume nodes, where price often moved quickly or found less acceptance HVN levels may act as areas of balance or reaction. LVN levels may act as rejection zones or acceleration zones depending on context. --- ### Bull / Bear Split and Delta Imbalance Rows Each profile row can be split into bullish and bearish volume estimates. This helps visualize whether a price area was dominated by bullish or bearish pressure. The indicator also includes imbalance rows, which highlight areas where one side strongly dominated the row volume. To avoid label clutter, imbalance labels can be displayed as: * a single multiplier label * one label per row * no label The multiplier mode is recommended for normal use. --- ### Confluence Zones The confluence module looks for clusters where several important levels are close to each other. Examples of levels used in confluence: * POC * VAH / VAL * HVN / LVN * Period open / close * Naked POC * Profile high / low * Poor high / poor low * Composite levels A confluence zone does not predict direction by itself. It simply marks an area where several auction references are grouped together. --- ### Naked POC Tracking The script can track previous POC levels that have not yet been revisited. These levels are often watched as potential return-to-value or magnet zones. Naked POC levels include status logic such as: * Fresh * Tested * Respected * Broken * Dead The extension distance can be adjusted so naked POC levels do not appear too far away from the rest of the profile. --- ### VWAP and Initial Balance The indicator includes optional period VWAP and VWAP bands. It can also display Initial Balance levels: * IB High * IB Low * IB Mid * 1x / 2x IB extensions These tools are useful for reading whether price is rotating inside value, expanding away from balance, or failing an attempted breakout. --- ### Auction Dashboard The dashboard summarizes useful auction information such as: * selected mode * current price location * auction state * value relation * POC migration * profile shape * nearest target * risk zone * dominant session * confluence score * POC, VAH, VAL, VWAP and IB information The dashboard is only a reading aid. It should not be used as a standalone trading system. --- ## Beginner Tutorial ### Step 1 — Choose the Profile Mode Start with Daily mode. Daily mode is usually the easiest to understand because each profile represents one completed trading day. Once you are comfortable, you can test Weekly and Monthly modes to read the larger market structure. --- ### Step 2 — Read the Main Levels Start with three levels: * POC * VAH * VAL A simple way to read them: * Price above VAH: market is trading above accepted value * Price below VAL: market is trading below accepted value * Price around POC: market is rotating near the main accepted price * Price between VAH and VAL: market is inside value --- ### Step 3 — Look for Reaction Areas After the basic value area is understood, check: * HVN zones * LVN zones * naked POC levels * confluence zones * VWAP * Initial Balance Do not use every line as a trade signal. The goal is to identify areas where price may react, pause, reject, or accelerate. --- ### Step 4 — Use the Dashboard The dashboard helps summarize the profile state. For example: * If price is above VAH and POC migration is rising, the market may be accepting higher prices. * If price rejects above VAH and returns inside value, it may indicate a failed auction. * If price is near a confluence zone, the area may deserve more attention. --- ## Example Use Cases ### Example 1 — Return to Value Price trades above VAH, fails to hold, and returns inside the value area. A trader may watch for a rotation back toward POC. This is not a direct entry signal. Confirmation should come from price action, market structure, or another method. --- ### Example 2 — POC Magnet Price moves away from the previous POC but later returns toward it. A naked POC or composite POC may act as a reference level where traders expect a reaction or pause. --- ### Example 3 — LVN Acceleration Price approaches an LVN zone. Because LVN zones represent low acceptance, price may either reject quickly or move through the area with speed. The direction depends on context, not on the LVN alone. --- ### Example 4 — Weekly Context, Daily Execution A trader can use Weekly mode to identify larger auction levels, then switch back to a lower chart timeframe to observe how price reacts near those levels. This helps separate macro context from execution timing. --- ## Recommended Timeframes The script is not designed for very low timeframes with heavy settings. Recommended chart timeframes: * 5 minutes and above for Daily mode * 15 minutes and above for Weekly mode * 15 minutes, 30 minutes, or 1 hour for Monthly mode Using the script on a 1-minute chart is not recommended, especially with Weekly or Monthly mode, developing profile enabled, high profile rows, many historical profiles, or multiple visual modules active. Very low timeframes may require too many historical bars or too many drawing objects, which can cause TradingView limits to be reached. --- ## Performance Recommendations For stable use, start with these settings: * Profiles History: 3 * Profile Rows: 48 * Current Developing Profile: Off * Imbalance Labels: Multiplier * Composite Display: Near Profile * Naked POC extension: short distance If the chart becomes heavy, reduce: * profile rows * history count * developing profile * imbalance zones * VWAP bands * Initial Balance extensions * confluence labels --- ## Important Notes This indicator is an analytical tool, not a trading system. It does not predict the market and does not provide guaranteed results. All levels should be interpreted with market context, price action, risk management, and the trader’s own strategy. Volume profile analysis is most useful when combined with structure, trend, volatility, session behavior, and confirmation from price action. Use the script to build a map of important auction areas, not as a standalone reason to enter or exit a trade.
Pine Script®指标
由Alpha_Wizard提供
CVD Multi-Timeframe DashboardCVD Multi-Timeframe Dashboard ═══════════════════════════════════════════ WHAT IT DOES ═══════════════════════════════════════════ Most CVD tools only show you the timeframe you're standing on. This one shows you the whole stack at once. Stay on your execution chart — 1m, 3m, 5m, whatever you trade — and read the net buying vs. selling pressure of the 5m, 15m, 1h, 4h, Daily and Weekly in a single on-chart table. In one glance you know whether the bigger picture is backing your trade or fighting it. ═══════════════════════════════════════════ WHY IT'S USEFUL ═══════════════════════════════════════════ Price can rise while volume delta quietly turns negative — buyers stepping back even as the candle stays green. That divergence is an early warning, and it's far more powerful when you can see it line up (or break down) across multiple timeframes: - All rows green → broad, one-sided buying. Trend trades have the wind behind them. - All rows red → broad selling pressure. Longs are swimming upstream. - Mixed rows → the timeframes disagree — often a pullback, rotation, or a turning point forming. This turns CVD from a single-timeframe reading into a top-down confluence tool. ═══════════════════════════════════════════ HOW IT WORKS ═══════════════════════════════════════════ Volume Delta = volume hitting the offer (buying) minus volume hitting the bid (selling). The script uses TradingView's ta.requestVolumeDelta() engine, which scans lower-timeframe data to approximate that split as accurately as the data allows. Each row anchors that engine to a different timeframe and reports the NET delta of that timeframe's CURRENT, developing bar — i.e. how much net buy/sell flow has built up since that candle opened. As a higher-timeframe bar progresses, its value accumulates; when a new bar opens, it resets. That's why the rows genuinely differ from one another instead of repeating the same number. ═══════════════════════════════════════════ READING THE TABLE ═══════════════════════════════════════════ TF → the monitored timeframe CVD Δ → net volume delta of its current bar (auto-formatted K / M / B) Bias → BUY (positive) or SELL (negative), colour-coded ═══════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════ - Timeframes to monitor — up to 6 slots, each with its own on/off toggle and timeframe. Set them equal to or higher than your chart timeframe. - Lower timeframe — resolution used to approximate up/down volume. Automatic by default; lower = more precise, higher = more history. - Style — table position, text size, and your own positive/negative colours. ═══════════════════════════════════════════ ALERTS ═══════════════════════════════════════════ "CVD bias flip" fires the moment any monitored timeframe's delta crosses between positive and negative — useful for catching a shift in flow without staring at the screen. ═══════════════════════════════════════════ NOTES & LIMITATIONS ═══════════════════════════════════════════ - Monitor timeframes ≥ your chart timeframe; lower ones aren't meaningful. - The symbol must provide volume data, or the script will tell you. - Lower-timeframe scanning approximates buy/sell volume — it isn't true tick or bid/ask data. Use it as a directional gauge, not an exact figure. Built on TradingView's open-source CVD logic and the ta.requestVolumeDelta() function from the TradingView/ta library. Open-source — feedback and forks welcome.
Pine Script®指标
由Arjuntrader36提供
Black Merton Volatility Engine [JOAT]Black Merton Volatility Engine Introduction Black Merton Volatility Engine blends multiple realized-volatility estimators with expected-move rails, cone rank, jump pressure, and tail-state classification. This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used. Core Concepts 1. Composite Realized Volatility Close-to-close, Parkinson, Garman-Klass, Rogers-Satchell, and Yang-Zhang-style estimates contribute to the volatility state. 2. Volatility Cone Current volatility is ranked against a historical cone to identify squeeze and shock conditions. 3. Expected Move Rails Annualized volatility is converted into a multi-day expected move around price. 4. Tail and Jump Pressure Large returns, rail breaches, and volatility divergence contribute to tail and jump states. expectedMove = close * realizedVol * math.sqrt(days / 252) Features Composite realized volatility Expected-move rails Squeeze and shock regimes Gamma pin, tail shock, clean expansion, and jump labels Movable quant HUD Input Parameters Fast, base, and slow vol windows Vol cone window Expected move days Squeeze and shock percentiles Cooldown and display toggles How to Use This Script Use the rails as volatility context. Squeeze, shock, tail, and jump states describe volatility conditions, not a certain direction. Limitations The script uses historical OHLCV data and cannot know future prices. Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting. Model outputs should be interpreted with market context, risk controls, and independent analysis. No visual state should be treated as a certain trade outcome. Originality Statement BMV is original in blending several volatility estimators, cone ranking, jump pressure, and expected-move visualization. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment. -Made with passion by jackofalltrades
Pine Script®指标
由officialjackofalltrades提供
QuantEdge Momentum ML [PRO]🟦 QuantEdge Momentum ML PRO is a k-Nearest Neighbors driven momentum oscillator built on an adaptive machine-learning core. Unlike RSI, Stochastic, or MACD — which apply the same static formula to every asset — QE-ML PRO learns the dual-horizon RSI fingerprints that have historically led to bullish versus bearish outcomes on the exact instrument being traded, then scores the current bar against the N closest historical matches. The result is a non-parametric, self-calibrating oscillator whose decision boundary is shaped by the asset's own behaviour rather than a hard-coded curve. The indicator integrates nine independent layers — feature engine, training sampler, k-NN predictor, WMA signal line, stdev-adjusted OB/OS bands, filtered signal dots, gradient channel, theme-adaptive dashboard, and a nine-theme palette — all rendered on a single, clean oscillator panel. 🟦 HOW THE CORE ENGINE WORKS **Dual-Horizon RSI Feature Vector** Each bar, the Feature Engine computes two RSI values at different lookback windows and smooths both through a shared trend-length WMA: - `rsiFast = WMA(RSI(close, FastPeriod), TrendLength)` — reactive short-term momentum - `rsiSlow = WMA(RSI(close, SlowPeriod), TrendLength)` — structural mid-term momentum The pair `(rsiSlow, rsiFast)` is a 2-dimensional point in RSI feature space. Every training sample stores one such point along with a ±1 label that records whether price rose or fell since the previous sample. Over time the dataset accumulates a cloud of labelled points that maps which RSI states historically preceded up-moves versus down-moves on this exact asset. **Training Sampler — Multi-Trigger Collector** Three collection modes decide when to append a new labelled sample: | Mode | Trigger | Use Case | |---|---|---| | **MA Crossover** | Fast WMA crosses Slow WMA | Clean, sparse samples — classic single-trigger behaviour | | **Periodic** | Every N bars (user-set) | Fills dataset fast on new / low-history charts | | **Hybrid** | MA crossover **OR** every N bars | Richest training set — recommended for fresh assets | Sampling is gated by `barstate.isconfirmed` so the dataset never absorbs unconfirmed values from a flickering live bar. **k-NN Predictor with Adaptive k** On every bar, the predictor computes Euclidean distance in the 2D RSI feature space between the live `(rsiSlow, rsiFast)` point and every historical sample: ``` d = sqrt((rsiSlow_now - rsiSlow_hist)² + (rsiFast_now - rsiFast_hist)²) ``` The K closest historical points vote by summing their ±1 labels. The effective K is resolved adaptively using the classical statistical heuristic: ``` kEff = max(3, min(kMax, floor(sqrt(N)))) ``` This means early bars — when only a handful of samples exist — use a small K, and the value stabilises as the dataset fills. On a fresh chart you never get a noisy prediction from an undersized neighborhood, and on a mature dataset K automatically scales up for smoother output. **Bias Correction — Label-Mean Recentering** Raw k-NN output is biased whenever the label distribution is skewed. On a trending asset, Periodic sampling fills the dataset with mostly +1 (or mostly −1) labels, pushing every prediction off zero. QE-ML PRO subtracts the expected value from the raw sum: ``` prediction = neighborLabelSum − (kEff × meanLabelAcrossDataset) ``` This keeps the mid-level visually centred at zero regardless of how trending the underlying asset has been. The correction is applied on every bar and is what makes the oscillator read cleanly on both sideways and strongly trending markets. **Minimum Sample Gate** Until the dataset has reached the user-defined Minimum Training Samples threshold, the predictor outputs exactly zero. This prevents unreliable readings during the warm-up phase on fresh charts. **FIFO Rotation** The dataset is hard-capped at Max Dataset Size. Once the cap is reached, the oldest sample is discarded on every new insertion — classical rolling window memory that keeps the k-NN scan bounded and the indicator fast on long histories. 🟦 PREDICTION LINE — FIVE VISUAL STYLES All five styles are line-based. Only the visual effect differs — the underlying k-NN math is identical across styles. | Style | Character | |---|---| | **Stratum** | Thick adaptive line with zone-based opacity: solid in extreme zones, semi-transparent in the mid zone. Layered intensity aesthetic — default | | **Neon** | Bright core line with an outer glow halo. Cyberpunk luminous effect, best on dark backgrounds | | **Resonance** | LRI-style gradient line that fades near the midline and brightens toward the rolling extremes | | **Pulse** | Adaptive bull/bear color (above midline = bull, below = bear) plus the WMA signal line. The QE-ML PRO classic look | | **Mono** | Single flat theme-bull line, no gradient, no adaptive coloring. Minimalist single-color silhouette | 🟦 SIGNAL LINE A WMA of the raw prediction output, used as a crossover trigger line in the MACD convention. Crossovers between the prediction and signal line mark momentum regime changes. **Two Visual Styles** | Style | Rendering | |---|---| | **Neon** | Bright core line wrapped in a wider semi-transparent glow halo — cyberpunk aesthetic | | **Flat** | Plain single-color line, no halo, no gradient — minimalist clean look | 🟦 SIGNAL DOTS — FILTERED CROSSOVER MARKERS A two-layer neon cross-dot renderer fires on every Prediction × Signal crossover that survives the active filter mode. Four progressive filters decide which raw crosses reach the chart: | Filter Mode | Behaviour | Signal Count | |---|---|---| | **All Crosses** | Every cross becomes a dot | Highest — noisy on choppy assets | | **Zone Only** | Only crosses inside an OB or OS strip | Mean-reversion triggers — strongest reversal setups | | **Mid Aligned** | Bull dots only above mid, bear dots only below | Trend-following — keeps you on regime side | | **Strict** | Zone Only + Mid Aligned + extra strength multiplier on mid-zone crosses | Fewest signals, highest conviction — default | Two additional gates filter out whipsaws: - **Cooldown (bars)** — minimum spacing between consecutive dots, prevents cluster spam in ranges - **Min Strength** — minimum `|prediction − signal|` separation at the moment of the cross, drops razor-thin crossovers that close back on themselves Each dot is a two-layer plot: an outer glow halo with user-adjustable size and opacity, and a bright solid core on top — independently sized and opacity-controlled so users can dial in the exact visual weight they want. The dot is placed at the actual cross point: bull dots at `min(prediction, signalLine)`, bear dots at `max(prediction, signalLine)`. 🟦 DYNAMIC BANDS — STDEV-ADJUSTED OB / OS ZONES QE-ML PRO does not use fixed 80 / 20 overbought / oversold levels. Instead, the bands adapt to the actual historical range of the prediction output: - **Channel Extremes** — rolling highest / lowest of the prediction over a user-configurable lookback - **Stdev Band** — EMA of rolling standard deviation of the prediction, multiplied by the user's stdev length - **OB Level** = `rangeHi − stdevBand` (inner boundary of the overbought strip) - **OS Level** = `rangeLo + stdevBand` (inner boundary of the oversold strip) The result is a pair of mean-reversion zones that tighten during quiet markets and widen during volatile ones — no manual recalibration needed across assets. The strips are rendered as gradient fills anchored on the live prediction plot, so they only appear visually while the prediction is actually inside the zone. 🟦 CHANNEL GRADIENT Two symmetric gradient fills bracket the mid line. The upper fill stretches from `midValue` to `rangeHi`, the lower fill from `midValue` to `rangeLo`. Opacity fades from full intensity at the extremes to fully transparent at the midline — a visual range meter showing how close the prediction is sitting to its historical boundaries. Colors are pulled from the active Theme. A single opacity slider controls the gradient intensity. 🟦 DASHBOARD — LIVE DATA PANEL A compact 2-column × 7-row monospace panel drawn on the last bar only (zero historical overhead). Every field updates in real time on the live bar. | Row | Left | Right | |---|---|---| | Header | QE-ML PRO | Regime (▲ BULL / ▼ BEAR / ■ NEUTRAL) | | Row 1 | Prediction | Raw value + trend arrow vs previous bar | | Row 2 | Signal | WMA trigger line value | | Row 3 | Strength | 10-block gauge of `|prediction − signal|` normalised against rolling channel | | Row 4 | Zone | OB / MID / OS tag | | Row 5 | Dataset | Sample count / effective k | | Row 6 | Mode | Active Learning Mode (MA Cross / Periodic / Hybrid) | **Theme-Aware Auto-Invert** The panel background scaffolds auto-switch: - **Tropic / Amber / Pastel / Cyber / Gold / Electric / Candy** → dark panel with bright theme accent text - **Midnight / Graphite** → light panel with dark theme accent text This guarantees legibility on every theme without breaking the theme's color identity — because Midnight and Graphite use deep dark bull tones that would drown against a black panel. **Direction via Glyphs, Not Color** Both columns share the same full-strength theme tone. Regime direction is conveyed by `▲ ▼ ■` glyphs rather than color shifts, which keeps the panel reading cleanly even on the most minimal themes. 🟦 NINE COLOR THEMES One theme selector drives every colored component — Prediction line, Signal line, Channel fill, OB / OS strips, Mid-level line, Signal Dots, and Dashboard panel. No per-color manual inputs. | Theme | Character | Bull | Bear | |---|---|---|---| | **Tropic** | Cyan steel + deep orange — electric contrast (default) | Cyan | Deep Orange | | **Amber** | Warm amber + indigo blue — fire tones | Amber | Red | | **Pastel** | Sky blue + soft lavender — cool arctic glow | Sky Blue | Lavender | | **Cyber** | Neon lime + hot crimson — cyber terminal | Neon Green | Crimson | | **Gold** | Bright gold + scarlet — solar warmth | Yellow Gold | Red | | **Electric** | Electric aqua + magenta — high-voltage neon | Aqua | Magenta | | **Candy** | Neon green + hot pink — dark energy pop | Mint Green | Hot Pink | | **Midnight** | Deep navy + dark crimson — dark depth (auto light dashboard) | Navy Blue | Dark Red | | **Graphite** | Near-black + silver grey — monochrome minimal (auto light dashboard) | Near Black | Grey | 🟦 ALERT SYSTEM — TEN CONDITIONS Every alert is gated by its matching "Show X" visibility toggle — if a component is hidden from the chart, its alerts are automatically suppressed. This eliminates the mismatch between visual signals and alert signals that plagues many indicators. | Alert | Condition | Gated By | |---|---|---| | Crossover OB | Prediction crosses above the overbought boundary | Show OB/OS Fill | | Crossunder OB | Prediction crosses back down through OB | Show OB/OS Fill | | Crossover OS | Prediction crosses up through oversold boundary | Show OB/OS Fill | | Crossunder OS | Prediction crosses below the oversold boundary | Show OB/OS Fill | | Crossover Mid | Prediction crosses above the mid line — bullish regime flip | Show Mid Level | | Crossunder Mid | Prediction crosses below the mid line — bearish regime flip | Show Mid Level | | Crossover Signal | Prediction crosses above its WMA signal line (MACD bullish) | Show Signal Line | | Crossunder Signal | Prediction crosses below its WMA signal line (MACD bearish) | Show Signal Line | | Bull Signal Dot | A filtered Bull Signal Dot is plotted (uses Filter Mode + Cooldown + Min Strength) | Show Signal Dots | | Bear Signal Dot | A filtered Bear Signal Dot is plotted (uses Filter Mode + Cooldown + Min Strength) | Show Signal Dots | 🟦 SETTINGS REFERENCE **Visual** - Theme — nine cohesive palettes. Default: Tropic **Machine Learning** - Neighbors (k) — upper bound on neighbors used by the predictor. Default: 100 - Adaptive k — scales k with dataset size using the `floor(sqrt(N))` heuristic. Default: ON - Learning Mode — MA Crossover / Periodic / Hybrid. Default: MA Crossover - Sample Every (bars) — bar interval for the Periodic / Hybrid trigger. Default: 5 - Minimum Training Samples — warm-up gate, predictor outputs zero until reached. Default: 30 - Max Dataset Size — hard FIFO cap. Default: 500 (safe on all timeframes) **Feature Engine** - Trend Length — WMA smoothing applied to both RSI features. Default: 20 - RSI Fast Period — first feature dimension. Default: 5 - RSI Slow Period — second feature dimension. Default: 20 - MA Fast Period — fast WMA for the crossover training trigger. Default: 5 - MA Slow Period — slow WMA for the crossover training trigger. Default: 20 **Prediction Line** - Show Prediction Line — master toggle. Default: ON - Prediction Style — Stratum / Neon / Resonance / Pulse / Mono. Default: Stratum - Prediction Width — 1 to 5. Default: 2 **Signal Line** - Show Signal Line — toggle. Default: ON - Signal Style — Neon / Flat. Default: Neon - Signal Period — WMA length of the signal line. Default: 20 - Signal Width — 1 to 5. Default: 1 **Signal Dots** - Show Signal Dots — toggle. Default: ON - Filter Mode — All Crosses / Zone Only / Mid Aligned / Strict. Default: Strict - Cooldown (bars) — minimum spacing between dots. Default: 5 - Min Strength — minimum `|prediction − signal|` at the cross. Default: 0.5 - Core Dot Size — 1 to 8. Default: 3 - Core Dot Opacity — 0 to 100. Default: 100 - Glow Dot Size — 1 to 12. Default: 8 - Glow Dot Opacity — 0 to 100. Default: 30 **Channel Fill** - Show Channel Fill — toggle. Default: ON - Channel Opacity — 0 to 100. Default: 25 - Channel Lookback — rolling highest / lowest window. Default: 500 **OB / OS Fill** - Show OB/OS Fill — toggle. Default: ON - Zone Stdev Length — stdev window that offsets the OB / OS boundaries inward. Default: 20 **Mid Level** - Show Mid Level — toggle. Default: ON - Mid Level Value — Y-value of the reference line. Default: 0 - Mid Level Style — Solid / Dashed / Dotted. Default: Dashed **Dashboard** - Show Dashboard — toggle. Default: ON - Panel Position — six slots (Top/Middle/Bottom × Right/Left). Default: Middle Right - Panel Text Size — Tiny / Small / Normal / Large. Default: Small **Alerts** - Ten opt-in toggles, one per alert condition. All default: ON 🟦 TRADER PRESETS — SETTINGS BY STYLE QE-ML PRO is volatility-agnostic thanks to the adaptive bands and bias correction, but the reactivity of the predictor scales directly with the feature and sampler parameters. The four presets below are tested starting points you can drop straight into the settings panel — adjust by ±20% to taste. --- ** SCALPER — 1m / 3m / 5m** High-frequency entries, tight stops, many signals per session. Priority is reaction speed — you want the predictor to flip states within a handful of bars of an actual move. | Setting | Value | |---|---| | Trend Length | 10 | | RSI Fast Period | 3 | | RSI Slow Period | 14 | | MA Fast Period | 3 | | MA Slow Period | 10 | | Signal Period | 8 | | Neighbors (k) | 40 | | Adaptive k | ON | | Learning Mode | **Hybrid** | | Sample Every | 2 | | Minimum Training Samples | 20 | | Max Dataset Size | **300** (keeps 1m charts fast) | | Filter Mode | **All Crosses** or Zone Only | | Cooldown | 2 | | Min Strength | 0.3 | | Channel Lookback | 200 | | Zone Stdev Length | 10 | | Prediction Style | Neon or Stratum | **Why:** Low smoothing (Trend=10) + short RSI pair (3/14) keeps the features razor-sharp. Hybrid learning means you never wait for an MA crossover during quiet 1m sessions. Max Dataset capped at 300 protects you from the TradingView per-bar calculation limit on long 1m histories. --- ** DAY TRADER — 15m / 30m / 1H** Balanced reactivity and conviction — the default profile. You want clean crosses without noise spam, and signals that survive the open / close volatility spikes. | Setting | Value | |---|---| | Trend Length | 20 (default) | | RSI Fast Period | 5 (default) | | RSI Slow Period | 20 (default) | | MA Fast Period | 5 (default) | | MA Slow Period | 20 (default) | | Signal Period | 20 (default) | | Neighbors (k) | 100 (default) | | Adaptive k | ON | | Learning Mode | **MA Crossover** (default) | | Minimum Training Samples | 30 (default) | | Max Dataset Size | 500 (default) | | Filter Mode | **Strict** (default) | | Cooldown | 5 (default) | | Min Strength | 0.5 (default) | | Channel Lookback | 500 (default) | | Zone Stdev Length | 20 (default) | | Prediction Style | Stratum (default) | **Why:** Every default value was tuned for this range. Strict filter + 5-bar cooldown keeps the dot count honest on a 30m chart. MA Crossover sampling gives you clean sparse data since 15m+ charts already have enough crossover events. --- ** SWING TRADER — 4H / 1D** Lower signal frequency, higher conviction per signal. You're holding for days or weeks — every dot needs to mean something. | Setting | Value | |---|---| | Trend Length | 30 | | RSI Fast Period | 7 | | RSI Slow Period | 30 | | MA Fast Period | 7 | | MA Slow Period | 30 | | Signal Period | 30 | | Neighbors (k) | 150 | | Adaptive k | ON | | Learning Mode | MA Crossover | | Minimum Training Samples | 50 | | Max Dataset Size | 800 | | Filter Mode | **Strict** | | Cooldown | 10 | | Min Strength | 0.8 | | Channel Lookback | 800 | | Zone Stdev Length | 30 | | Prediction Style | Stratum or Mono | **Why:** Longer feature periods mean the predictor only moves on genuine structural shifts. Larger k (150) + bigger dataset (800) gives the k-NN vote a wider base so outliers don't flip the sign. Cooldown of 10 bars on a 4H chart = 40 hours minimum between dots — exactly what a swing trader wants. --- ** POSITION / LONG-TERM — 1D / 1W / 1M** Macro regime detection. You're looking for the handful of generational setups per year — noise is the enemy. | Setting | Value | |---|---| | Trend Length | 50 | | RSI Fast Period | 10 | | RSI Slow Period | 40 | | MA Fast Period | 10 | | MA Slow Period | 40 | | Signal Period | 40 | | Neighbors (k) | 200 | | Adaptive k | ON | | Learning Mode | **Hybrid** | | Sample Every | 3 | | Minimum Training Samples | 40 | | Max Dataset Size | 1000 | | Filter Mode | **Strict** | | Cooldown | 15 | | Min Strength | 1.0 | | Channel Lookback | 1000 | | Zone Stdev Length | 40 | | Prediction Style | Mono or Pulse | **Why:** Weekly and monthly charts have few crossover events per year — without Hybrid mode the dataset starves. Sample Every = 3 on a weekly chart means one sample every 3 weeks, which is plenty of structural density. Min Strength 1.0 filters out every shallow cross — you only see dots on generational momentum inflections. --- **Tuning Tip** If the predictor feels **too reactive** → increase Trend Length and Signal Period by 25%, raise Cooldown. If the predictor feels **too sluggish** → switch Learning Mode to Hybrid, decrease Min Samples, lower Trend Length. If the dashboard shows **Dataset N is stuck low** → switch Learning Mode from MA Crossover to Hybrid — crossover events are too rare on your current settings. If you see **runtime / timeout errors** on long histories → drop Max Dataset Size to 300 and Channel Lookback to 300. 🟦 COMPATIBILITY Works on all asset classes and all timeframes in TradingView Pine Script v6. - **Crypto** — Spot, futures, perpetual contracts - **Forex** — All pairs - **Equities** — Stocks, ETFs, indices - **Commodities** — Metals, energy, agriculture - **Timeframes** — 1m through Monthly The k-NN engine learns each asset's own RSI fingerprint distribution, and the stdev-adjusted bands auto-scale to the volatility of that distribution, so the indicator is truly self-calibrating across assets and timeframes — no manual recalibration required. 🟦 TECHNICAL NOTES - Pine Script v6 - No repainting — training samples are gated by `barstate.isconfirmed` so the dataset never absorbs unconfirmed live-bar values - Dataset is hard-capped via FIFO rotation; no unbounded memory growth - Dashboard renders only on `barstate.islast` — zero historical overhead - All drawing objects are stateless plots (no label / box / line object pools), so `max_*_count` limits cannot be exceeded - k-NN distance pass is O(N), sort is O(N log N), both bounded by Max Dataset Size - Default Max Dataset Size of 500 is tuned to stay within TradingView's per-bar calculation budget on histories up to ~50,000 bars - Bias correction uses a single extra accumulator pass during the distance sweep — no performance penalty 🟦 DISCLAIMER This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. The k-NN engine learns from historical patterns, but markets do not guarantee that historical patterns will repeat. Always conduct your own analysis and apply proper risk management.
Pine Script®指标
由a_jabbaroff提供
26
Delta Absorption Scanner[MarkitTick]💡 This advanced analytical tool is engineered to bridge the gap between price action and order flow dynamics by identifying critical moments where market participants encounter significant liquidity barriers. In the modern trading landscape, volume alone is often insufficient to determine market direction. The Delta Absorption Scanner provides a sophisticated lens through which traders can observe the interaction between aggressive market orders and passive limit orders, specifically highlighting "Absorption" events. These events occur when high-volume "Effort" fails to produce a proportional price "Result," signaling a potential exhaustion of the current trend or a hidden accumulation/distribution phase. By synthesizing volume delta, candle spread, and multi-timeframe context into a unified interface, this script empowers traders to make decisions based on the structural integrity of the market rather than superficial price movements. ✨ Originality and Utility The primary utility of this script lies in its multi-layered approach to market analysis, moving beyond simple oscillators or trend-following moving averages. Unlike standard volume indicators that merely report total activity, this scanner differentiates between buying and selling pressure by calculating candle-based delta, allowing for a more granular view of market intent. The script introduces a unique "Scanner" architecture that monitors four distinct high-timeframe (HTF) perspectives simultaneously. This provides an institutional-grade view of the trend without the need to constantly switch chart intervals. It incorporates a proprietary "Absorption" detection logic that correlates delta percentage with the physical spread of the candle. This identifies "hidden" strength or weakness that is often invisible to the naked eye. The inclusion of Fair Value Gap (FVG) and Swing High/Low detection within the dashboard creates a comprehensive "Confluence Engine," ensuring that short-term delta signals are validated by higher-level market structures. By utilizing non-repainting multi-timeframe logic (security calls with index offsets), the indicator maintains the highest standards of data integrity, making it suitable for both discretionary trading and systemic strategy development. 🔬 Methodology and Concepts The core logic begins with the calculation of "Candle Delta," which determines the dominant force within a single bar based on its polarity. If a candle closes above its open, the entire volume is attributed to positive delta; if it closes below, it is negative. The indicator then calculates the "Spread," defined as the absolute distance between the high and low of the bar. This metric is critical for the "Effort vs. Result" analysis. Absorption is mathematically flagged when a candle exceeds the user-defined "Minimum Delta %" threshold but fails to generate significant directional movement, or when the spread is disproportionately small compared to the volume injected. The Support (S3) and Resistance (R3) levels are derived from the most recent significant high-volume or high-delta bars, creating dynamic zones that reflect where institutional liquidity was last engaged. Multi-Timeframe Integration: The script utilizes the request.security() function with a bar offset. This ensures that the data displayed from higher timeframes is "confirmed" and prevents the visual bias known as repainting. Trend determination on the dashboard is calculated using a proprietary relationship between the current price and the 14-period smoothed high/low averages, providing a stable "Trend Bias" for each monitored timeframe. ● Main Feature Components • Volume Delta labels The script places dynamic labels above or below candles that exhibit significant delta. These labels display the Delta percentage, helping traders identify where "Climax" volume is occurring. • Spread Analysis (S) Next to the Delta % is a value representing the "Spread." This allows for an immediate visual comparison: High Delta with Low Spread suggests passive absorption (reversal), while High Delta with High Spread suggests aggressive momentum (continuation). • Multi-Timeframe (HTF) Dashboard A sophisticated table displayed on the chart that aggregates data from up to four higher timeframes. This dashboard is the "brain" of the scanner, providing a bird's-eye view of the market's broader health. 🎨 Visual Guide Positive Delta Labels: Displayed as green labels with white text. These signify bars where buying volume was dominant. Negative Delta Labels: Displayed as red labels with white text. These signify bars where selling volume was dominant. Neutral/Spread Labels: Displayed in a dark neutral color to represent bars where the spread is being analyzed without a significant delta bias. Dashboard - Trend Column: Displays "UP" in green for bullish regimes and "DN" in red for bearish regimes for each of the four HTF settings. Dashboard - S3/R3 Column: Displays the price of the nearest significant support or resistance level identified by the script. Dashboard - Distance % Column: A dynamic calculation showing how far the current price is from the S3/R3 levels. Green indicates distance from support, while red indicates distance from resistance. Dashboard - FVG Column: Displays "+FVG" in green if a bullish Fair Value Gap exists on that timeframe, or "-FVG" in red if a bearish gap is present. Dashboard - Swing Column: Identifies if the current price is near a local "Top" or "Bottom" based on pivot logic. 📖 How to Use Step 1: Identify "Effort" on the Chart. Look for a large Delta % label (e.g., >20%) appearing at a local high or low. Step 2: Analyze the "Result." If the Delta is high (Green/Positive) but the candle spread (S) is small and price fails to move higher, this is a classic Bearish Absorption signal. Limit sellers are "absorbing" the market buyers. Step 3: Consult the Dashboard. Check if the HTF trends are in alignment. For a short trade based on Bearish Absorption, you ideally want to see "DN" trends on higher timeframes and the presence of a "-FVG." Step 4: Proximity to S/R. Use the "Dist %" column to ensure you are not selling directly into a higher-timeframe support (S3) or buying directly into resistance (R3). Step 5: Confluence. The highest probability trades occur when a Delta climax appears at a dashboard-confirmed Swing Top/Bottom in the direction of the HTF trend. ⚙️ Inputs and Settings Positive/Negative Delta Color: Customizes the aesthetic of the bull/bear labels to match your chart theme. Max Labels on Chart: Controls the lookback period for visual labels to maintain chart performance and reduce clutter. Minimum Delta % to Show: A sensitivity filter. Higher values (e.g., 50%) will only show the most extreme volume events, while lower values (e.g., 10%) provide more frequent signals. Show Spread (S): Toggles the visibility of the candle spread value within the labels. HTF 1-4 Settings: Allows the user to define which timeframes the dashboard should track (e.g., 1H, 4H, Daily, Weekly). Dashboard Position: Permits the user to move the table to different corners of the chart for better visibility. 🔍 Deconstruction of the Underlying Scientific and Academic Framework • The Law of Effort vs. Result Based on the principles established by Richard Wyckoff, this indicator quantifies "Effort" as Volume Delta and "Result" as Price Spread. In a balanced market, increased effort should lead to an equivalent result. When these two diverge (Anomalies), it suggests a change in market character. • Auction Market Theory (AMT) The indicator utilizes AMT principles by identifying areas of "High Volume Nodes" (represented by S3/R3) where the market has found value or met significant opposition. The "Distance %" feature measures the market's deviation from these nodes, which often acts as a mean-reversion catalyst. • Order Flow Imbalance While traditional indicators use price as a lagging derivative, the Delta Absorption Scanner attempts to lead price by observing the imbalance between aggressive market participants. By isolating the delta within each bar, the script identifies where one side of the "Auction" is becoming exhausted. • Statistical Significance of Spread The inclusion of spread analysis is rooted in statistical volatility measurements. A narrow spread during high volume indicates a high density of limit orders (Liquidity), which is a precursor to price reversals or significant breakouts once the liquidity is exhausted. • Multi-Timeframe Structuralism The scanner's architecture is based on the theory that lower-timeframe "noise" is resolved by higher-timeframe "structure." By mapping FVGs and Swings across four dimensions, the script applies a fractal analysis to the current bar's delta events. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script®指标
由MarkitTick提供
Super Volume[SV]Super Volume This indicator combines classic volume bars with a decision-making mechanism. It doesn't just measure whether volume is high; it uses the following formula to determine which direction this high volume is dominating the market (Buyer vs. Seller): $ V VOLUME > SMA(Volume, 20)$$ If the volume exceeds this threshold, the system analyzes the closing value of the candle. If it does not, the market is considered to be in "sleep mode." ________________________________________ Color Codes and Meanings The visual language of the indicator is designed to let you analyze the situation in seconds the moment you look at the screen. Here are the psychological and technical equivalents of each color: 🟢 Green (High Volume Buyer) • Condition: Volume is above the 20-period average AND the closing price is higher than the opening price. • Meaning: Major market players (institutionals) have stepped in on the buying side. • Interpretation: This is an "Aggressive Buying" signal. If a resistance level is being broken and this color appears, the probability of a false breakout is low. 🔴 Red (High Volume Seller) • Condition: Volume is above the 20-period average AND the closing price is lower than the opening price. • Meaning: Selling pressure has risen significantly above the average. Those holding assets may be exiting quickly. • Interpretation: This is a "Panic or Distribution" signal. Seeing this color at support levels indicates a high probability that the support will break. 🟠 Orange (High Volume Neutral/Indecisive) • Condition: Volume is above the 20-period average BUT the price closed near its opening (Doji-like structures). • Meaning: There is a massive battle between buyers and sellers, but no winner has emerged yet. • Interpretation: This usually points to a "Trend Reversal" or an "Accumulation" zone. The first green or red candle following an orange column typically determines the new direction. ⚪ Gray (Normal/Low Volume) • Condition: Volume is below the 20-period average. • Meaning: Market participants are reluctant. "Big money" is not currently in this asset. • Interpretation: This is the "Wait and See" zone. Trades made during gray columns often coincide with "choppy" markets, increasing the risk of getting stopped out. ________________________________________ Applied Trading Strategies 1. Breakout Confirmation If the volume bar turns Green while a stock or coin is breaking above a horizontal channel, it is a "genuine breakout." If the price is rising but the volume remains Gray, this upward movement might be a "bull trap." 2. Top and Bottom Analysis • Climactic Selling: A sudden, massive Red column during a price drop sometimes indicates that sellers are exhausted (the final wave of selling). Subsequent low-volume gray candles are signs of a bottom formation. • Buying Frenzy: An excessively large Green column at a very high price point may whisper that the last buyers have entered due to "FOMO" (fear of missing out) and a correction is imminent. 3. Average Line (Yellow Line) The volMA (Yellow line) in the code represents the "energy level" of the market. How far the columns rise above this line determines the intensity of the movement. Any movement staying below this line can be considered "noise." ________________________________________ Technical Note There is a dynamic Label on the right side of the indicator. This label updates itself based on the bar index and provides the current status in text: • "HIGH VOLUME: BUYER" • "HIGH VOLUME: SELLER" • "NORMAL VOLUME" This allows you to focus on the system's precise diagnosis rather than just the colors. GOOD LUCK!!! Author:Rmzn4406
Pine Script®指标
由Rmzn4406提供
Relative Volume Context [Alturoi]Relative Volume Context evaluates whether current volume is unusual relative to its historical time-of-day or calendar context. Instead of comparing volume to a global average, the script estimates expected volume for the current time bucket (e.g., minute of hour, hour of day, day of week, month). This creates a like-for-like comparison against historical behavior occurring at the same structural moment. All outputs are derived from a single statistical volume model. How It Works For each selected time bucket, the script maintains: Sample size (N) Mean volume (expected value) Variance (used for Z-Score) When a new bar forms, current volume is compared to the historical statistics of its bucket. This produces: Expected Volume – Typical volume for this time bucket Difference – Actual minus expected Surprise (%) – Relative deviation from expected Z-Score – Standardized deviation from the historical distribution Sample Size & Confidence – Transparency into statistical reliability Optional session-aware bucketing allows intraday traders to model volume relative to session structure. Why Time Conditioning Matters Volume follows structural patterns (open, midday, close, weekday effects). Comparing current volume to a global average ignores these effects. By conditioning volume on time, the indicator helps distinguish: Routine activity Statistically elevated participation Structurally quiet periods How to Use This indicator is designed as a contextual tool, not a trading signal. It may assist in: Evaluating whether breakouts occur with elevated participation Distinguishing routine session volume from abnormal spikes Assessing whether price movement is supported by unusual activity Interpret readings alongside price structure and risk management. Disclaimer This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past behavior does not guarantee future results.
Pine Script®指标
由Alturoi提供
Price x Volume ActivityPrice × Volume Activity highlights candles where unusually large amounts of capital are participating in the market. The indicator calculates Price × Volume (PV) for each candle and compares it to a 20-period average. When the current PV exceeds 1.8× its average, the background is highlighted to signal a participation spike. These spikes often occur during: • Breakouts and breakdowns • Institutional accumulation or distribution • High-conviction trend moves • News or momentum-driven volatility How to Read It Orange line → Current Price × Volume Blue line → 20-period PV average Red background → Unusually high participation High PV spikes suggest that significantly more capital than usual is active in the candle, helping traders confirm whether a move has strong conviction behind it. Best Use Cases This indicator works best in markets where volume reflects real traded participation, such as: • Stocks • Cryptocurrencies • Futures and other liquid derivatives It is less reliable on spot index charts, where volume may represent derived or proxy data rather than actual traded value. Tips for Using the Indicator For best results, combine this indicator with: • Price action analysis • Support and resistance levels • Volume or open interest analysis Used together, these tools can help identify high-participation moves, potential accumulation or distribution zones, and stronger breakout confirmations.
Pine Script®指标
由Alert_Trader提供
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.
Pine Script®指标
由Zeiierman提供
11
PoC Migration Map [BackQuant]PoC Migration Map A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime. What this is This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart. The result is a "migration map" of value: A side volume profile that shows how volume is distributed over the recent price range. A sequence of PoC nodes that show where local value has been accepted over time. Lines that connect those PoCs to reveal the path of value migration. Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime. Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend. Core components Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window. Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time. Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21. PoC labels - optional labels on every Nth PoC for easier reading and referencing. How it works 1) Global lookback and binning You choose: Lookback Bars - how far back to collect data. Number of Bins - how finely to split the price range. The script: Finds the highest high and lowest low in the lookback. Computes the total price range and divides it into equal binCount slices. Assigns each bar's close and volume into the appropriate price bin. This creates a discretized volume distribution across the entire lookback. 2) Side volume profile If "Show Side Profile" is enabled, a right-hand volume profile is drawn: Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar. The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin. Optionally, volume values and percentages are printed inside the profile bars. Color and transparency are controlled by: Base Profile Color and its transparency. A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins. Profile Width (%) - how wide the maximum bin can extend in bars. This gives you an at-a-glance view of the volume landscape for the chosen lookback window. 3) Segmenting for PoC migration To build the PoC trail, the lookback is divided into segments: Bars per Segment - bars in each local cluster. Number of Segments - how many segments you want to see back in time. For each segment: The script uses the same price bins and accumulates volume only from bars in that segment. It finds the bin with the highest volume in that segment, which is the local PoC for that segment. It sets the PoC price to the center of that bin. It finds the "mid bar" of the segment and places the PoC node at that time on the chart. This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time. 4) Trend regime and color coding The indicator precomputes: EMA 12 (Fast). EMA 21 (Slow). For each PoC: It samples EMA 12 and EMA 21 at the mid bar of that segment. It computes a simple trend score as fast EMA minus slow EMA. If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by: Trend Up Color if EMA 12 is above EMA 21. Trend Down Color if EMA 12 is below EMA 21. Trend Flat Color if they are roughly equal. If the trend heatmap is disabled, PoC color is instead based on PoC migration: If the current PoC is above the previous PoC, use the Up PoC Color. If the current PoC is below the previous PoC, use the Down PoC Color. If unchanged, use the Flat PoC Color. 5) Connecting PoCs and labels Once PoC prices and times are known: Each PoC is connected to the previous one with a dotted line, using the PoC's color. Optional labels are placed next to every Nth PoC: Label text uses a simple "PoC N" scheme. Label background uses a configurable label background color. Label border is colored by the PoC's own color for visual consistency. This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart. What it plots When fully enabled, you will see: A right-sided volume profile for the chosen lookback window, built from volume by price. Colored horizontal bars representing each price bin's relative volume. Optional volume text showing each bin's volume and its percentage of the profile maximum. A series of PoC nodes spaced across the chart at the mid point of each segment. Dotted lines connecting those PoCs to show the migration path of value. Optional PoC labels at each Nth node for easier reference. Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift. Reading PoC migration and market pressure Side profile as a pressure map The side profile shows where trading has been most active: Thick, opaque bars represent high volume zones and possible high interest or acceptance areas. Thin, faint bars represent low volume zones, potential rejection or transition areas. When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size. When price moves quickly through low volume bins, it often does so with less friction. This gives you a static map of where the market has been willing to do business within your lookback. PoC trail as a value migration map The PoC chain represents "where value has lived" over time: An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices. A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down. A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance. Taken together, you can interpret: Side profile as "where the volume mass sits", a static pressure field. PoC trail as "how that mass has moved", the dynamic path of value. Trend heatmap as a regime overlay When PoCs are colored by the EMA 12 / 21 spread: Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime. Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime. Gray PoCs mark flat or ambiguous trend segments. This lets you answer questions like: "Is value migrating higher while the trend regime is also up?" (trend confirming value). "Is value migrating higher but most PoCs are red?" (value against the prevailing trend). "Has value started to roll over just as PoCs flip from green to red?" (early regime transition). Key settings General Settings Lookback Bars - how many bars back to use for both the global volume profile and segment profiles. Number of Bins - how many price bins to split the high to low range into. Profile Settings Show Side Profile - toggle the right-hand volume profile on or off. Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars. Base Profile Color - the starting color for profile bars, with transparency. Show Volume Values - if enabled, print volume and percent for each non-zero bin. Profile Text Color - color for volume text inside the profile. PoC Migration Settings Show PoC Migration - toggle the PoC trail plotting. Bars per Segment - the number of bars contained in each segment. Number of Segments - how many segments to build backwards from the current bar. Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.) Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels). Right Offset (bars) - horizontal offset to anchor the side profile on the right. Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off. Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off. Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off. PoC Label Background - background color for PoC labels. Trend Heatmap Settings Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors. Fast EMA - length for the fast EMA. Slow EMA - length for the slow EMA. Trend Up Color - color for PoCs in a bullish EMA regime. Trend Down Color - color for PoCs in a bearish EMA regime. Trend Flat Color - color for neutral or flat EMA regimes. Trading applications 1) Value migration and trend confirmation Use the PoC path to see if value is following price or lagging it: In a healthy uptrend, price, PoCs, and trend regime should all lean higher. In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs. In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle. 2) Identifying acceptance and rejection zones Combine the side profile with PoC locations: High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points. PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones. High volume zones with mixed PoC colors may signal balance or prolonged negotiation. 3) Structuring entries and exits Use the map to refine trade location: Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change. Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries. Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise. 4) Regime transitions Watch how PoCs behave as the EMA regime changes: A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend. If EMAs flip but PoC migration does not follow, the trend signal may be early or false. A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend. Best practices Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse. Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing. Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing. Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests. Notes This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand: Where the bulk of trading has occurred in your chosen window. How the center of volume has migrated over time. Whether that migration is aligned with or fighting the current trend regime. By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
Pine Script®指标
由BackQuant提供
4
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.
Pine Script®指标
由Zeiierman提供
41
ICT HTF Volume Candles (Based on HTF Candles by Fadi)# ICT HTF Volume Candles - Multi-Timeframe Volume Analysis ## Overview This indicator provides multi-timeframe volume visualization designed to complement price action analysis. It displays volume data from up to 6 higher timeframes simultaneously in a separate panel, allowing traders to identify volume spikes, divergences, and institutional activity without switching between timeframes. **Original Concept Credits:** This indicator builds upon the HTF Candles framework by Fadi, adapting it specifically for volume analysis with enhanced features including gap-filling for extended hours, multiple scaling methods, and advanced synchronization. ## What Makes This Script Original ### Key Innovations: 1. **Three Volume Scaling Methods:** - **Per-HTF Auto Scale:** Each timeframe scales independently for detailed comparison - **Global Auto Scale:** All timeframes use unified scale for relative volume comparison - **Manual Scale:** User-defined maximum for consistent analysis across sessions 2. **Bullish/Bearish Volume Differentiation:** - Volume bars colored based on price movement (close vs open) - Separate styling for bullish (green) and bearish (red) volume periods - Helps identify whether volume supports price direction 3. **Advanced Time Synchronization:** - Custom daily candle open times (Midnight, 8:30 AM, 9:30 AM ET) - Timezone-aware calculations for New York trading hours - Real-time countdown timers for each timeframe - **Gap-filling technology** for continuous display during extended hours and weekends 4. **Flexible Display Options:** - Configurable spacing and positioning - Label placement (top, bottom, or both) - Day-of-week or time interval labels on candles - Works reliably in backtesting and live trading ## How It Works ### Volume Calculation The indicator uses `request.security()` with optimized parameters to fetch volume data from higher timeframes: - **Volume Open/High/Low/Close (OHLC):** Tracks volume changes within each HTF candle - **Color Logic:** Compares HTF close vs open prices to determine bullish/bearish classification - **Alignment:** All volume bars share a common baseline for easy visual comparison - **Gap Handling:** Uses `gaps=barmerge.gaps_off` to maintain continuity during non-trading hours ### Technical Implementation ``` 1. Monitors HTF timeframe changes using request.security() with lookahead 2. Creates new VolumeCandle object when HTF bar opens 3. Updates current candle's volume H/L/C on each chart bar 4. Applies selected scaling method to normalize display height 5. Repositions all candles and labels on each bar update 6. Fills gaps automatically during extended hours for consistent display ``` ### Scaling Methods Explained **Method 1 - Auto Scale per HTF:** Each timeframe displays volume relative to its own maximum. Best for identifying patterns within each individual timeframe. **Method 2 - Global Auto Scale:** All timeframes share the same scale based on the highest volume across all HTFs. Best for comparing relative volume strength between timeframes. **Method 3 - Manual Scale:** User sets maximum volume value. Best for maintaining consistent scale across different trading sessions or instruments. ## How to Use This Indicator ### Setup 1. Add indicator to your chart (it appears in a separate panel below price) 2. Configure up to 6 higher timeframes (default: 5m, 15m, 1H, 4H, 1D, 1W) 3. Set number of candles to display for each timeframe 4. Choose volume scaling method based on your analysis needs 5. Enable "Fix gaps in non-trading hours" for extended hours trading (enabled by default) ### Interpretation **Volume Spikes:** - Sudden increase in volume height indicates institutional activity or strong conviction - Compare volume between timeframes to identify where the real money is moving - Look for volume spikes that appear across multiple timeframes simultaneously **Bullish vs Bearish Volume:** - **Green volume bars:** Price closed higher (buying pressure) - **Red volume bars:** Price closed lower (selling pressure) - High green volume during uptrend = confirmation of strength - High red volume during downtrend = confirmation of weakness - High volume opposite to trend = potential reversal warning **Multi-Timeframe Context:** - **5m/15m:** Scalping and day trading activity - **1H/4H:** Swing trading and intraday institutional flows - **Daily/Weekly:** Major position building and long-term trends **Divergences:** - Price making new highs but volume declining = weakening trend - Volume increasing while price consolidates = potential breakout brewing - Price breaks level but volume doesn't confirm = likely false breakout ### Practical Examples **Example 1 - Institutional Confirmation:** Price breaks above resistance. Check volume across timeframes: - 5m shows spike = retail interest - 15m + 1H + 4H all show spikes = institutional confirmation - **Trade confidence: HIGH** **Example 2 - False Breakout Detection:** Price breaks resistance with: - High volume on 5m only - Normal/low volume on 1H and 4H - **Interpretation:** Likely retail trap, institutions not participating - **Action:** Wait for pullback or avoid **Example 3 - Accumulation Phase:** Price ranges sideways but: - Daily volume gradually increasing - Weekly volume above average - **Interpretation:** Smart money accumulating - **Action:** Prepare for breakout in direction of volume **Example 4 - Volume Divergence:** Price makes new high: - Current high has lower volume than previous high across all timeframes - **Interpretation:** Weakening momentum - **Action:** Consider profit-taking or reversal trade ## Configuration Parameters ### Timeframe Settings - **HTF 1-6:** Select timeframes (must be higher than chart timeframe) - **Max Display:** Number of candles to show per timeframe (1-50) - **Limit to Next HTFs:** Display only first N enabled timeframes (1-6) ### Styling - **Bull/Bear Colors:** Separate colors for body, border, and wick - **Padding from current candles:** Distance offset from live price action - **Space between candles:** Gap between individual volume bars - **Space between Higher Timeframes:** Gap between different timeframe groups - **Candle Width:** Thickness of volume bars (1-4, multiplied by 2) ### Volume Settings - **Volume Scale Method:** Choose 1, 2, or 3 - 1 = Auto Scale per HTF (each TF independent) - 2 = Global Auto Scale (all TF unified) - 3 = Manual Scale (user-defined max) - **Auto Scale Volume:** Enable/disable automatic scaling - **Manual Scale Max Volume:** Set maximum when using Method 3 ### Label Settings - **HTF Label:** Show/hide timeframe names with color and size options - **Label Positions:** Display at Top, Bottom, or Both - **Label Alignment:** Align centered or Follow Candles - **Remaining Time:** Show countdown timer until next HTF candle - **Interval Value:** Display day-of-week or time on each candle ### Custom Daily Candle - **Enable Custom Daily:** Override default daily candle timing - **Open Time Options:** - **Midnight:** Standard 00:00 ET daily open - **8:30 AM:** Align with economic data releases - **9:30 AM:** Align with NYSE market open - Useful for specific trading strategies or market alignment ### Advanced Settings - **Fix gaps in non-trading hours:** Maintains alignment during extended hours and weekends (recommended: ON) - Prevents visual gaps during forex weekend closures - Ensures consistent display during crypto 24/7 trading - Improves backtesting reliability ## Best Practices 1. **Pair with Price Action:** Use alongside HTF price candles indicator for complete picture 2. **Start Simple:** Enable 2-3 timeframes initially (e.g., 15m, 1H, 4H), add more as needed 3. **Match Settings:** Use same candle width/spacing as companion price indicator for visual alignment 4. **Scale Appropriately:** - Use **Global scale** (Method 2) when comparing timeframes - Use **Per-HTF scale** (Method 1) for pattern analysis within each timeframe - Use **Manual scale** (Method 3) for consistent day-to-day comparison 5. **Watch for Volume Clusters:** High volume appearing simultaneously across multiple HTFs signals significant market events 6. **Confirm Breakouts:** Always check if volume supports the price movement across higher timeframes 7. **Extended Hours:** Keep "Fix gaps" enabled for 24/7 markets (Forex, Crypto) and weekend analysis ## Technical Notes - **Timezone:** All calculations use America/New_York timezone for consistency - **Real-time Updates:** Volume and timers update on each tick during market hours - **Performance:** Optimized with max_bars_back=5000 for extensive historical analysis - **Compatibility:** Works on all instruments with volume data (Stocks, Forex, Crypto, Futures) - **Gap Handling:** Uses `barmerge.gaps_off` to fill data gaps during non-trading periods - **Backtesting:** Uses `lookahead=barmerge.lookahead_on` for stable historical data without repainting - **Data Continuity:** Automatically handles market closures, weekends, and extended hours ## Updates & Improvements **Version 2.0 (Current):** - ✅ Fixed alignment issues during extended hours and weekends - ✅ Eliminated repainting in backtesting - ✅ Added gap-filling technology for continuous display - ✅ Improved data synchronization across all timeframes - ✅ Enhanced NA value handling for data integrity - ✅ Added advanced settings group for user control ## Support For questions, suggestions, or feedback, please comment on the publication or message the author. --- **Disclaimer:** This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always perform your own analysis and implement proper risk management before making trading decisions.
Pine Script®指标
由Maria4AG提供
Volumetric Compressed MAVCMA (Volumetric Compressed Moving Average) uses the compressor and weighted standard deviation functions originally translated to pinescript by @gorx1 to plot moving averages in order to use for entry confirmation. 🔹 Concepts and Idea: When we do music we always use different kinds of filters (low-pass, high pass, etc) for equalization and filtering itself. That stuff we use in finance as well. What we also always use in music are compressors, there dynamic processors that automatically adjust volume so it will be more consistent. Almost all the cool music you hear is compressed (both individual instruments (especially vocals) and the whole track afterwards), otherwise stuff will be too quite and too weak to flex on it, and also DJing it would be a nightmare. 🔹 Model: I don't wanna explain it all in statistical / DSP way for once. First of all, I think the population of volumes is log-normally distributed, so let's take logs of volumes, now we have a ~ normally distributed data. We take linearly weighted mean, add and subtract linearly weighted standard deviation from it, these would be our thresholds, the borders between different kinds of volumes explained before. The upper threshold is for downward compression, that will not let volume pass it higher. The lower threshold is for upward compression, all the volumes lower than this threshold will be brought up to the threshold's level. Then we apply multipliers to the thresholds in order to adjust em and find the sweet spots. We do it the same way as in sound engineering when we don't aim for overcompression, we adjust the thresholds until they start to touch the signal and all good. Afterwards, we delete all the number 1 and number 3 volume, leaving us exclusively with the clear main component, ready to be processed further. We return the volumes to dem real scale. For more info on Volume Compression it's highly advised to check @gorx1's initial script Volume Compressor 🔹 Settings: MA Type: Moving average type to be used for comparison after calculating the compressed version of volume. This creates the second line after the compression line, so we can consider crossovers for confirmation entries. Upward threshold: Upward threshold where the compression of volume is calculated. Increasing usually causes smoother lines. Downward threshold: Downward threshold where the compression of volume is calculated. Decreasing usually causes smoother lines. Compression Lookback: The Main lookback window of a volume that is used for compression. Increasing this would provide smoother lines but might cause delayed signals. Decreasing means more signals, but might cause whiplash and distorted signals. Comparative Lookback: This is our lookback to be used with our ma type selection. There is no static better or worse lookback value for this indicator. It should be adjusted based on the pair. 🔹 Where to use: This indicator should be used as another confirmation tool for your entry signals in your existing strategy/market following combination. Green dots (crossovers) mean bullish movement is expected, and red dots (crossbounders) mean bearish movement is expected. Automated crossover alerts are available. A reminder is that this kind of indicator should not be used on its own for trading, but rather should be used as a confirmation along with your trend detection and main entry indicators to provide additional confidence. If you want to know under the hood, read the How it works section below. 🔹 How it works: //This is our main compression calculation, which is used for the first line. Compressed_out = compressor(volume, len_window, up_thresh, down_thresh) //This is the secondary ratio calculation that we use for the second line. Comp_ma = ma(ma_type, close * compressed_out, len_ml) / ma(ma_type, compressed_out, len_ml) Vwma = ma(ma_type, close, len_window) We calculate the ratio of the compressed volume and plot it against the base MA. Base MA's length is determined by the Compression Lookback input compared to the Comperative Lookback that is used for the compressed version. This provides us with another possible confirmation indicator that can be used to take advantage of volume ranges.
Pine Script®指标
由serkany88提供
VWAP Multi-TimeframeThis is a multi-timeframe VWAP indicator that provides volume weighted average price calculations for the following time periods: 15min 30min 1H 2H 4H 6H 8H 12H 1D 1W 1M 3M 6M 1Y You can use the lower timeframes for short term trend control areas and use the longer timeframes for long term trend control areas. Trade in the direction of the trend and watch for price reactions that you can trade when price gets close to or touches any of these levels. This indicator will provide a data plot value of 1 for bullish when price is above all VWAPs that are turned on, -1 for bearish when price is below all VWAPs that are turned on and 0 for neutral when price is not above or below all VWAPs. Use this 1, -1, 0 value as a filter on your signal generating indicators so that you can prevent signals from coming in unless they are in the same direction as the VWAP trend. Features Trend direction value of 1, -1 or 0 to send to external indicators so you can filter your signal generating indicators using the VWAP trend. Trend table that shows you whether price is above or below all of the major VWAPs. This includes the daily, weekly, monthly and yearly VWAPs. Trend coloring between each VWAP and the close price of each candle so you can easily identify the trend direction. Customization Set the source value to use for all of the VWAP calculations. The default is HLC3. Turn on or off each VWAP. Change the color of each VWAP line. Change the thickness of each VWAP line. Turn on or off labels for each VWAP or turn all labels on or off at once. Change the offset length from the current bar to the label text. Change the label text color. Turn on or off trend coloring for each VWAP. Change the color for up trends and down trends. Turn on or off the trend direction display table. Change the location of the trend direction display table. Adjust the background and text colors on the trend direction display table. How To Use The Trend Direction Filtering Feature The indicator will provide a data plot value of 1 for bullish when price is above all of the VWAPs that are turned on, a value of -1 for bearish when price is below all of the VWAPS that are turned on and a value of 0 for neutral when price is above and below some of the VWAPs that are turned on. The name of the value to use with your external indicators will show up as: VWAP Multi-Timeframe: Trend Direction To Send To External Indicators Make sure to use that as your source on your external indicators to get the correct values. This 1, -1 or 0 value can then be used by another external indicator to tell the indicator what is allowed to do. For instance if you have another indicator that provides buy and sell signals, you can use this trend direction value to prevent your other indicator from giving a sell signal when the VWAP trend is bullish or prevent your other indicator from giving a buy signal when the VWAP trend is bearish. You will need to program your other indicators to use this trend filtering feature, but this indicator is already set up with this filtering code so you can use it with any other indicator that you choose to filter(if you know how to customize pine script). Markets You Can Use This Indicator On This indicator uses volume and price to calculate values, so it will work on any chart that provides volume and price data.
Pine Script®指标
由FriendOfTheTrend提供
Volume Pressure Analysis - Live DataVolume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour. ________________________________________ Key Functional Segments 1. Inputs and Configuration Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts. 2. Volume Data Calculations The indicator calculates three key volume metrics: • volToday: The current day’s volume. • volAvg: The average volume over the user-defined SMA period (default is 20 bars). • volPct: The current volume as a percentage of the average. This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness. 3. Volume Pressure Calculation The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session. 4. Visual Representation (Progress Bars) The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth. 5. Table Display A compact table is drawn on the chart showing: • Buy pressure percentage and corresponding bar. • Sell pressure percentage and corresponding bar. • Volume percentage compared to the recent average. This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays. ________________________________________ How Traders Benefit from This Indicator • Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction. • Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves. • False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries. • Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive. ________________________________________ Basic Usage Guide 1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison. 2. Customize the table’s position using the X and Y settings for clarity and alignment. 3. Interpret the outputs: o A higher red bar indicates dominant sell pressure. o A higher green bar indicates dominant buy pressure. o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction. 4. Apply to trading decisions: o High buy pressure and high volume may indicate a strong long opportunity. o High sell pressure and high volume may support short setups. o Low volume or conflicting signals may call for caution. 5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups. ________________________________________ Practical Example • Sell Pressure: 70% → Suggests strong seller control; potential for short setups. • Buy Pressure: 30% → Weak buying interest; long trades may carry risk. • Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity. ________________________________________ Tips for New Traders • Use this indicator as a confirmation tool rather than a standalone strategy. • Begin on higher timeframes (4-hour or daily) to develop familiarity. • Compare multiple examples to identify reliable patterns over time. • Always incorporate proper risk management, including stop losses. ________________________________________ Disclaimer from aiTrendview This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Pine Script®指标
由aiTrendview-Charting-System提供
1
Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers. Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation. 🔵 CONCEPTS Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers. Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts. High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance. Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars. 🔵 FEATURES Detects pivot-based resistance (highs) and support (lows) using a customizable range length. Wraps these levels in volume-weighted bands that expand/contract based on percentile volume. Color fill intensity increases with rising volume pressure, creating a live histogram feel. When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone. Bar coloring highlights the candles that generated this high-volume behavior (orange by default). Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity. 🔵 HOW TO USE Identify volume-confirmed resistance and support zones for potential reversal or breakout setups. Focus on levels with intense histogram fill and circle markers —they indicate strong participation. Use bar coloring to track when key activity started and align it with broader market context. Works well in combination with order blocks, trend indicators, or liquidity zones. Ideal for day traders, scalpers, and volume-sensitive setups. 🔵 CONCLUSION Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit.
Pine Script®指标
由BigBeluga提供
11
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table. What It Does Monitors volume for each bar and compares it to an average over a user-defined lookback period. Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume. Triggers an alert when current volume exceeds the threshold percentage above the average. Displays a table on the chart with: Current Volume Average Volume Threshold Percentage Optional empty row for spacing/formatting How It Works User Inputs: lookbackPeriods: Number of bars used to calculate the average volume. thresholdPercent: % above the average that triggers a volume spike alert. smoothingType: Type of moving average used for volume calculation. textColor, bgColor: Formatting for the display table. tablePositionInput: Where the table appears on the chart (e.g., Bottom Right). Toggles for showing/hiding parts of the table. Volume Calculations: Calculates current bar's volume. Calculates average volume using the selected smoothing method. Computes the threshold: avgVol * (1 + thresholdPercent / 100). Compares current volume to threshold. Table Display: Dynamically creates a table with volume stats. Adds rows based on user preferences. Alerts: alertcondition fires when currentVol crosses above the calculated threshold. Message: "Volume Threshold Exceeded" Usage Examples Example 1: Spotting High Activity Apply the script to a stock like AAPL on a 5-minute chart. Set lookbackPeriods to 20 and thresholdPercent to 30. Use EMA for more reactive volume tracking. When volume spikes more than 30% above the 20-period EMA, an alert triggers. Example 2: Day Trading Filter For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT). Set thresholdPercent to 50 to catch only strong surges. Position the table at the top left and reduce visible info for a clean layout. Example 3: Long-Term Context On a daily chart, use SMA and set lookbackPeriods to 50. Helps identify breakout moves supported by strong volume. How this is different from Trading View's Volume indicator: The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert. ===== ORIGINAL DESCRIPTION ===== Volume Spike Alert & Overlay This indicator will display the following as an overlay on your chart: Current volume Average Volume Threshold for Alert Description: This indicator will display the current bar volume based on the chart time frame, display the average volume based on selected conditions, allow user selectable threshold over the average volume to trigger an alert. Options: Average lookback period Smoothing type Alert Threshold % Enable / Disable Each Value Change Text Color Change Background Color Change Table location Add/Remove extra row for placement in top corner Usage Example: I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes. Set the threshold to 25% in the settings Create an alert by clicking on the 3 dots on the right of the indicator title on the chart When the threshold is exceeded the alert will trigger
Pine Script®指标
由abbadon9提供
1
ADR, ATR & VOL OverlayThis is a combined version of 2 of my other indicators: ADR / ATR Overlay VOL / AVG Overlay This indicator will display the following as an overlay on your chart: ADR % of ADR ADR % of Price ATR % of ATR ATR % of Price Custom Session Volume Average For Selected Session Volume Percentage Comparison Description: ADR : Average Day Range % of ADR : Percentage that the current price move has covered its average. ADR % of Price : The percentage move implied by the average range. ATR : Average True Range % of ATR : Percentage that the current price move has covered its average. ATR % of Price : The percentage move implied by the average true range. Custom Session Volume : User chosen time frame to monitor volume Average For Selected Session : Average for the custom session volume Volume Percentage Comparison : Current session compared to the average (calculated at session close) Options: ADR/ATR: Time Frame Length Smoothing Volume: Set Custom Time Frame For Calculations Set Custom Time Frame For Average Comparison Set Custom Time Zone Table: Enable / Disable Each Value Change Text Color Change Background Color Change Table location Add/Remove extra row for placement ADR / ATR Example: The ADR and ATR can be used to provide information about average price moves to help set targets, stop losses, entries and exits based on the potential average moves. Example: If the "% of ADR" is reading 100%, then 100% of the asset's average price range has been covered, suggesting that an additional move beyond the range has a lower probability. Example: "ADR % of Price" provides potential price movement in percentage which can be used to asses R/R for asset. Example: ADR (D) reading is 100% at market close but ATR (D) is at 70% at close. This suggests that there is a potential (coverage) move of 30% in Pre/Post market as suggested by averages. Custom Volume Session Example: Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York. When the time frame for the calculation is closed, the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table. In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day. Notes: Times must be entered in 24 hour format. (1pm = 13:00 etc.) Volume indicator is for Intra-day time frames, not > Day. How I use these values: I use these calculations to determine if a ticker symbol has the necessary range to achieve target gains, to determine if the price oscillation is within "normal" ranges to determine if the trading day will be choppy, and to determine placement of stops and targets within average ranges in combination with support, resistance and retracement levels.
Pine Script®指标
由abbadon9提供
Vacuum Candles [XrayAlgo]The Vacuum Candles indicator helps traders identify inefficient price movements—where the price moves significantly but lacks sufficient volume to support it. These inefficiencies may signal weak trends, potential reversals, or false breakouts/breakdowns. Inefficient candles are visually marked with a darker / black body to indicate when the price movement is disproportionate to the volume. 1. Spotting Potential Reversals When the indicator marks an inefficient candle, it signals that the price movement may be unsustainable. In an uptrend: A inefficient bullish candle suggests that the uptrend is losing momentum, potentially leading to a downward reversal. In a downtrend: A inefficient bearish candle signals that the downtrend may be weakening, with a potential bullish reversal. 2. Identifying Breakout and Breakdown Failures This indicator is useful for recognizing false breakouts or false breakdowns. If price breaks resistance but the candle is inefficient, the breakout may be weak and could fail quickly. If price breaks support with an inefficient bearish candle, the breakdown could be a false signal, with price reverting back above support. 3. Recognizing Weak Trends Inefficient candles help you spot when a trend is losing strength and could soon reverse or consolidate. In an uptrend: A series of dark body bullish candles suggests that the uptrend may be weakening, signaling a potential correction or trend reversal. In a downtrend: A series of dark body bearish candles suggests that the selling pressure is weakening, indicating a potential bullish reversal. 4. Fine-Tuning Entries and Exits Inefficient candles offer an opportunity to fine-tune your entries and exits based on weak price moves. Entering a trade: An inefficient candle near key support or resistance can indicate a reversal, making it a good entry point for a counter-trend position. Exiting a trade: If you're already in a trend, and an inefficient candle appears, it suggests the trend is losing strength, indicating it may be a good time to exit before a potential reversal. 5. Fine-Tuning with Inputs The Vacuum Candles indicator includes two key inputs: Length: The number of candles used to calculate the average price movement and volume. A longer length (e.g., 20-30) smooths out the inefficiencies, while a shorter length (e.g., 10-15) makes the indicator more sensitive to recent price moves. Multiplier: Controls the threshold for what is considered an inefficient candle: A higher Multiplier (e.g., 1.5–3) filters out smaller inefficiencies and focuses on large discrepancies. A lower Multiplier (e.g., 0.1–0.9) captures even smaller inefficiencies in highly efficient markets.
Pine Script®指标
由XrayAlgo提供
Multi-TF Volume & Price Analysis[BullByte]This indicator offers a comprehensive view of market dynamics by combining volume and price analysis across multiple timeframes. It calculates key metrics—such as bullish/bearish volume percentages, relative volume (RVol), cumulative volume delta (CVD), and price change percentages—for each timeframe that you choose (for example, 1, 3, 5, and 15 minutes). Here are the main features in simple terms: - Multi-Timeframe Analysis: The tool analyzes volume and price action from four different timeframes simultaneously. This means you get insights from short-term and slightly longer-term trends in one view. - Volume Breakdown: It splits the volume into bullish and bearish parts by comparing closing and opening prices. This helps you see how much of the trading volume is driving the market upward versus downward. - Relative Volume & Spike Detection: It calculates relative volume (current volume compared to a moving average) and flags any significant volume spikes based on a customizable multiplier. This feature helps identify unusual trading activity. - Volume Smoothing Option: For a cleaner signal, you can enable a smoothing option (using an exponential moving average) to reduce noise in the volume data. - Advanced Summary: The indicator combines volume data, price changes, and volume spikes to produce an overall market summary for each timeframe—labeling conditions as “Bullish Strong,” “Bullish Moderate,” “Bearish Strong,” “Bearish Moderate,” or “Neutral.” - Cumulative Overview: In addition to individual timeframe analysis, it aggregates the data to offer a cumulative view. This includes a collective bullish/bearish percentage, overall CVD, and even a simplified volume level (Low, Normal, or High). - Customizable Dashboard: All these metrics are neatly displayed in a dashboard on the chart. You can customize its position and text size. The dashboard uses dynamic, color-coded cells to instantly convey the market sentiment—making it easy to spot trends at a glance. - VWAP Integration: Finally, the dashboard includes VWAP information, providing an additional layer of context to the price action. Overall, this indicator is designed to provide a quick yet thorough snapshot of market conditions, enabling traders to make more informed decisions with a clear visual representation of volume and price activity across different timeframes.
Pine Script®指标
由BullByte提供
8
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals . █ CORE METHODOLOGY Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows. Volume Aggregation: Accumulates bullish/bearish or total volume within each price row. POC: The row with the highest total volume. Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%). Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume. █ KEY FEATURES - Customizable Lookback & Resolution Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis. - Configurable Profile Width & Horizontal Offset Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor. Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future. - Value Area & POC Highlighting Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified. Value Area rows are colored distinctly, while the POC is marked with a bold line. - Flexible Display Options Show bullish/bearish volume splits or total volume. Place the profile on the right or left of the chart. - Gradient Coloring Rows fade in color intensity based on their relative volume strength . - Real-Time Adjustments Modify horizontal offset, profile width, and appearance without reloading. █ USAGE EXAMPLES Example 1: Basic Volume Profile with Value Area Settings: Lookback: 500 bars Number of Rows: 100 Value Area: 70% Display Type: Up/Down Placement: Right Image Context: The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume. Example 2: Total Volume with Gradient Colors Settings: Lookback: 800 bars Number of Rows: 100 Profile Width: 60 Horizontal Offset: 20 Display Type: Total Gradient Colors: Enabled Image Context: Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration. Example 3: Left-Aligned Profile with Narrow Value Area Settings: Lookback: 600 bars Number of Rows: 100 Profile Width: 45 Horizontal Offset: 500 Value Area: 50% Profile Placement: Left Image Context: The profile shifts to the left, with a tighter Value Area (50%). █ USER INPUTS Calculation Settings Lookback: Historical bars analyzed (default: 500). Number of Rows: Vertical resolution of the profile (default: 100). Profile Width: Horizontal length of rows (default: 50). Horizontal Offset: Distance from the current bar to the POC (default: 50). Value Area (%): Cumulative volume threshold for the Value Area (default: 70%). Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume. Profile Placement: Align profile to the Right or Left of the chart. Appearance Rows Border: Customize border width/color. Gradient Colors: Enable fading color effects. Value Area Colors: Set distinct colors for bullish and bearish Value Area rows. POC Line: Adjust color, width, and visibility. █ CONCLUSION The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels. █ IMPORTANT NOTES ⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels. ⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile. ⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques. █ RISK DISCLAIMER Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results. 📊 Happy trading! 🚀
Pine Script®指标
由ActiveQuants提供
3
PVSRA Volume Suite with Volume DeltaPVSRA Volume Suite with Volume Delta 🔹 Overview This indicator is a Volume Suite that enhances PVSRA (Price, Volume, Support, Resistance Analysis) by incorporating Volume Delta and AI-driven predictive alerts. It is designed to help traders analyze volume pressure, market trends, and price movements with color-coded visualizations. 📌 Key Features PVSRA Volume Color Coding – Highlights vector candles based on extreme volume/spread conditions. Volume Delta Analysis – Tracks buying/selling pressure using up/down volume data. AI-Powered Predictive Alerts – Identifies potential trend shifts based on volume and trend context. Volatility-Adjusted Thresholds – Dynamically adapts volume conditions based on ATR (Average True Range). Customizable MA & Symbol Overrides – Allows traders to tweak settings for personalized market insights. Debug & Diagnostic Labels – Shows statistical z-scores, thresholds, and volume dynamics. How It Works PVSRA Color Coding – The script classifies candles into four categories based on volume and spread analysis: 🔴 Red Vector → Extreme bearish volume/spread 🟢 Green Vector → Extreme bullish volume/spread 🟣 Violet Vector → Above-average bearish volume 🔵 Blue Vector → Above-average bullish volume Volume Delta Calculation – Uses lower timeframe volume analysis to estimate up/down volume differentials. Trend & Predictive Alerts – Combines EMA crossovers with statistical volume analysis to detect potential trend shifts. Volatility Adaptation – Adjusts volume thresholds based on ATR, making signals more reliable in changing market conditions. Custom Symbol Override – Fetches PVSRA data from a different instrument, useful for index-based volume analysis. Customizable Inputs PVSRA Color Settings – Modify candle color schemes for better visual clarity. Volume Delta Colors – Customize delta volume body, wick, and border colors. AI Settings – Tune z-score thresholds, lookback periods, and enable predictive alerts. Symbol Overrides – Analyze volume from a different market or asset. Moving Average (MA) Settings – Display a volume-based moving average for trend confirmation. Important Notes Works best on intraday timeframes where volume data is reliable. Lower timeframe volume delta estimates might not be precise for all assets. No guarantees of accuracy – Use alongside other confluence tools for decision-making. Credits & Open-Source Notice This script is based on PVSRA methodologies and integrates Volume Delta analysis. Special thanks to Traders Reality and TradingView for their contributions to volume-based analysis.
Pine Script®指标
由starseedmaster1提供