开始

成交量

Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation The best to used is side way market with long and short enable The Strategy trigger long or short market order - long - ta.crossover(rsi, 20) short - ta.crossunder(rsi, 80) And if is not take profit from the first trade start with the save trades until will do the sum of the first order - base order and the save order can be adjust from the user as well the deviation from the first order IF some user have questions let me know
Pine Script®策略
由fullmax提供
4
Clean Volume (SUV)The Problem with Raw Volume Traditional volume bars tell you how much traded, but not whether that amount is unusual. This creates noise that misleads traders: Stock A averages 1M shares with wild daily swings (500K-2M is normal). Today's 2M volume looks like a spike—but it's just a routine high day. Stock B averages 1M shares with rock-steady volume (950K-1.05M typical). Today's 2M volume is genuinely extraordinary—institutions are clearly active. Both show identical 200% relative volume. But Stock B's reading is far more significant. Raw volume and simple relative volume (RVol) can't distinguish between these situations, leading to: - False signals on naturally volatile stocks - Missed signals on stable stocks where smaller deviations matter - Inconsistent comparisons across different securities --- A Solution: Standardized Unexpected Volume (SUV) SUV applies statistical normalization to volume, measuring how many standard deviations today's volume is from the mean. This z-score approach accounts for each stock's individual volume stability, not just its average. SUV = (Today's Volume - Average Volume) / Standard Deviation of Volume Using the examples above: - Stock A (high volatility): SUV = 2.0 — elevated but not unusual for this stock - Stock B (low volatility): SUV = 10.0 — extremely unusual, demands attention SUV automatically calibrates to each security's behaviour, making volume readings comparable across any stock, ETF, or timeframe. --- What SUV Is Good For ✅ Identifying genuine volume anomalies — separates signal from noise ✅ Comparing volume across different securities — apples-to-apples z-scores ✅ Spotting institutional activity — large players create statistically significant footprints ✅ Confirming breakouts — high SUV validates price moves ✅ Detecting exhaustion — extreme SUV after extended moves may signal climax ✅ Finding "dry" setups — negative SUV reveals quiet accumulation periods --- Where SUV Has Limitations ⚠️ Earnings/news events — SUV will spike dramatically (by design), but the statistical reading may be less meaningful when fundamentals change ⚠️ Low-float stocks — extreme volume volatility can produce erratic SUV readings ⚠️ First 20 bars — needs lookback period to establish baseline; early readings are less reliable ⚠️ Doesn't predict direction — SUV measures volume intensity, not whether price will rise or fall --- How to Read This Indicator Bar Height Displays actual volume (like a traditional volume chart) so you can still see absolute levels. Bar Color (SUV Intensity) Color intensity reflects the SUV z-score. Brighter = more unusual. Up Days (Green Gradient): | Color | SUV Range | Meaning | |--------------|-----------|------------------------------------------| | Bright Green | ≥ 3.0 | EXTREME — Highly unusual buying activity | | Green | ≥ 2.0 | VERY HIGH — Significant accumulation | | Light Green | ≥ 1.5 | HIGH — Above-average interest | | Pale Green | ≥ 1.0 | ELEVATED — Moderately active | | Muted Green | 0 to 1.0 | NORMAL — Typical volume | | Dark Grey | < 0 | DRY — Below-average, quiet | Down Days (Red Gradient): | Color | SUV Range | Meaning | |------------|-----------|-----------------------------------------| | Bright Red | ≥ 3.0 | EXTREME — Panic selling or capitulation | | Red | ≥ 2.0 | VERY HIGH — Heavy distribution | | Light Red | ≥ 1.5 | HIGH — Active selling | | Pale Red | ≥ 1.0 | ELEVATED — Moderate selling | | Muted Red | 0 to 1.0 | NORMAL — Routine down day | | Dark Grey | < 0 | DRY — Light profit-taking | Coiled State (Tan/Beige): When detected, bars turn muted tan regardless of direction. This indicates: - Volume compression (SUV below threshold for consecutive days) - Volatility contraction (ATR below average) - Price tightness (small recent moves) Coiled states may precede significant breakouts. Special Markers "P" Label (Blue) — Pocket Pivot detected. Morales & Kacher's signal fires when: - Price closes higher than previous close - Price closes above the open (green candle) - Volume exceeds the highest down-day volume of the last 10 bars Pocket Pivots may indicate institutional buying before a traditional breakout. "C" Label (Orange) — Coiled state confirmed. The stock is consolidating with compressed volume and tight price action. Watch for expansion. Dashboard The configurable dashboard displays real-time metrics. Default items: - Vol — Current bar volume - SUV — Z-score value - Class — Classification (EXTREME/VERY HIGH/HIGH/ELEVATED/NORMAL/DRY/COILED) - Proj RVol — Projected end-of-day relative volume (intraday only) Additional optional items: Direction, Coil Status, Relative ATR, Pocket Pivot, Average Volume. --- Practical Usage Tips 1. SUV ≥ 2 on breakouts — Validates the move has institutional participation 2. Watch for SUV < 0 bases — Quiet accumulation zones where smart money builds positions 3. Coil → Expansion — After consecutive coiled days, the first SUV ≥ 1.5 bar often signals direction 4. Pocket Pivots in bases — Early accumulation signals before price breaks out 5. Extreme SUV (≥3) after extended moves — May indicate climax/exhaustion rather than continuation --- Settings Overview | Group | Key Settings | |-----------------|-----------------------------------------------------| | SUV Settings | Lookback period (default 20) | | Coil Detection | Enable/disable, sensitivity thresholds | | Pocket Pivot | Enable/disable, lookback period | | Display | Dashboard style (Ribbon/Table), position, text size | | Dashboard Items | Toggle which metrics appear | | Colors | Fully customizable gradient colors | --- Credits SUV concept adapted from academic literature on standardized unexpected volume in market microstructure research. Pocket Pivot methodology based on Gil Morales and Chris Kacher's work. Coil detection inspired by volatility contraction patterns. --- This indicator does not provide financial advice. Always combine volume analysis with price action, market context, and proper risk management. No animals were harmed during the coding and testing of this indicator.
Pine Script®指标
由mericourt提供
2
WOLFGATEWOLFGATE is a clean, session-aware market structure and regime framework designed to help traders contextualize price action using widely accepted institutional references. The indicator focuses on structure, momentum alignment, and mean interaction, without generating trade signals or predictions. This script is built for clarity and decision support. It provides a consistent way to evaluate market conditions across different environments while remaining flexible to individual trading styles. What This Indicator Displays Momentum & Structure Averages 9 EMA — Short-term momentum driver 21 EMA — Structural control and trend confirmation 200 SMA — Primary regime boundary 400 SMA (optional) — Deep regime / macro bias reference These averages are intended to help assess directional alignment, trend strength, and structural consistency. Session VWAP (Institutional Mean) Session-based VWAP with a clean daily reset Default session: 09:30–16:00 ET Uses HLC3 as the VWAP source for balanced price input Rendered in a high-contrast institutional blue for visibility VWAP can be used to evaluate mean interaction, acceptance, or rejection during the active session. How to Use WOLFGATE This framework is designed for context, not signals. Traders may use WOLFGATE to: Identify bullish or bearish market regimes Evaluate momentum alignment across multiple time horizons Observe price behavior relative to VWAP Maintain directional bias during trending conditions Avoid low-quality conditions when structure is misaligned The indicator does not generate buy or sell signals and does not include alerts or automated execution logic. Important Notes Volume must be added separately using TradingView’s built-in Volume indicator (Volume cannot be embedded directly into this script due to platform limitations.) This script is intended for educational and analytical purposes only No financial advice is provided Users are responsible for their own risk management and trade decisions
Pine Script®指标
由Capitalwithluke提供
AlgoZ Smart Divergence [Trend Filtered]AlgoZ Smart Divergence is a precision entry tool designed to catch market reversals by analyzing Volume Divergence combined with Multi-Timeframe Trend Filtering. Unlike standard divergence indicators that signal on every minor price fluctuation, this script uses a strict set of filters to only present high-probability trade setups that align with the broader market trend. This is the Free Edition of the AlgoZ Suite, focused on providing clean, non-repainting Buy and Sell signals based on institutional volume flow. How It Works The script operates on a 3-step validation process: Volume Divergence: It detects anomalies where volume spikes relative to price action (e.g., Price makes a Lower Low, but Volume hits a Higher High). HTF Trend Painting: It analyzes a Higher Timeframe (Default: 3 Hours) to determine the macro trend. If the 3H trend is Bullish, the candles turn Green. If Bearish, they turn Red. Color Match Filtering: The script includes a smart filter that blocks signals that go against the trend. You will only see BUY signals when the candles are Green (Uptrend) and SELL signals when the candles are Red (Downtrend). Key Features Volume Divergence Engine: Identifies hidden accumulation and distribution zones. HTF Trend Coloring: Automatically paints your chart based on Higher Timeframe breakouts (Default: 3-Hour Trend). Smart Signal Filtering: Toggles are available to "Only Show Signals Matching Candle Color," ensuring you never trade against the momentum. EMA Trend Filter: Includes a built-in 10-period EMA filter to further refine entries. Volatility Filters: Optional RSI and ADX filters are included to avoid trading during low-volatility "chop." How to Use For Longs (Buys): Wait for the candles to turn Green (indicating the 3-Hour trend is up) and look for a BUY label. The price must also be above the 10 EMA (if enabled). For Shorts (Sells): Wait for the candles to turn Red (indicating the 3-Hour trend is down) and look for a SELL label. Risk Management: This script is designed to catch reversals. Always place your Stop Loss below the recent swing low (for buys) or above the swing high (for sells). Settings Higher Timeframe: Default is set to 3 Hours (180 minutes). You can adjust this to 1 Day or 4 Hours depending on your trading style. EMA Length: Default is 10. Color Match Filter: On by default.
Pine Script®指标
由rowdyllama提供
Orderblock Footprints [AlgoAlpha]🟠 OVERVIEW This script highlights orderblocks and then drills into what actually trades inside them. Zones are created only after an abnormal directional impulse, measured with a z-score on consecutive candle bodies, so the orderblocks are tied to real expansion rather than simple pivots. Once a zone exists, the script overlays lower-timeframe volume footprints inside the candle when price trades back into that zone. The goal is to show not just where an orderblock sits, but whether price is being accepted or absorbed when it is revisited. 🟠 CONCEPTS Orderblocks are detected after extreme bullish or bearish impulses. The script tracks consecutive body movement up or down, normalizes that distance with a rolling z-score, and only triggers when the move is statistically large. The last opposite candle before that impulse defines the orderblock range. These zones then extend forward until they are either mitigated by price closing through them or they expire by age. Inside an active zone, the script switches to a lower timeframe and builds a footprint-style profile for each bar. Each candle is split into price rows, counting time-at-price and volume delta. Positive and negative delta are colored separately. Absorption is flagged when opposing delta prints appear in the wick that rejects the zone. In practice: the impulse defines context ; the footprint shows interaction . 🟠 FEATURES Separate bullish and bearish zones with automatic extension Volume split inside each zone candle (up vs down volume) Lower-timeframe footprint with TPO-style rows and delta gradient Absorption detection using opposing delta in rejection wicks Alerts for zone creation and absorption events 🟠 USAGE Setup : Add the script to your chart. It works on any market and timeframe. The lower timeframe for footprints is fixed at 5 minutes, so higher chart timeframes show clearer structure. Use the Z-Score Window to control how strict impulse detection is and Max Box Age to limit how long old zones stay on the chart. Read the chart : Bullish orderblocks are created after strong upward impulses and are invalidated when price closes below them. Bearish orderblocks are created after strong downward impulses and are invalidated when price closes above them. When price trades inside a zone, footprint rows appear. Green-tinted rows show positive delta; red-tinted rows show negative delta. Absorption labels appear when opposing delta prints into a rejecting wick. Settings that matter : Increasing the Z-Score Window makes orderblocks rarer but more significant. Disabling Prevent Overlap allows stacked zones if you want to study clustering. Adjusting Rows per bar changes footprint resolution—lower values are cleaner, higher values show more detail but use more objects.
Pine Script®指标
由AlgoAlpha提供
18
Momentum Candle V3 by Sekolah TradingMomentum Candle v3 by Sekolah Trading Description: Momentum Candle v3 is a technical indicator designed to identify market momentum signals based on price movement within a single candle. The indicator measures the size of the candle's body and wick to determine if the market is showing strong bullish or bearish momentum. Key Features: Candle Size: Measures price movement within a single candle to assess market momentum. Short Wick: Focuses on wick length, with short wicks indicating that the closing price is more significant than the opening price. Bullish/Bearish Momentum: Provides bullish signals when the closing price is higher than the open, and bearish signals when the closing price is lower than the open. Customizable Minimum Body: Users can adjust the minimum body size for XAUUSD and USDJPY pairs according to their trading preferences. Timeframe: Works on M5 and M15 timeframes for XAUUSD and USDJPY currency pairs. How to Use: Bullish Signal: The indicator signals bullish momentum when the candle body is sufficiently large and the wick is short, with the closing price higher than the open. Bearish Signal: The indicator signals bearish momentum when the candle body is sufficiently large and the wick is short, with the closing price lower than the open. Pip Parameters: Adjust the pip values for XAUUSD and USDJPY according to market conditions or your trading preferences. Note: This indicator is a tool for technical analysis and does not guarantee specific trading results. It is recommended to use it alongside other strategies and analyses for better accuracy. Realistic Backtest Results: To ensure transparency and honesty in the backtest, here are some key factors to consider: Position Size: The backtest uses a realistic position size of about 5-10% of the account equity per trade. Commission & Slippage: A commission of 0.1% per trade and slippage of 1 pip were used in the backtest simulation to reflect real market conditions. Number of Trades: The backtest sample includes more than 100 trades for a representative result. Example of Backtest Results: Profitability: The backtest results on XAUUSD and USDJPY show consistent performance with this strategy on the M5 and M15 timeframes. Commission and Slippage: Adjusting for commission and slippage showed better accuracy under more realistic market scenarios. How to Use the Indicator: Signals from this indicator can be used to confirm market momentum in trending conditions. However, it is highly recommended to combine this indicator with other technical analysis tools to minimize the risk of false signals. Important Notes: Honesty & Transparency: This indicator is designed to provide signals based on technical analysis and does not guarantee specific trading results. No Over-Claims: The backtest results displayed represent realistic scenarios and are not intended to promise certain profits. Original Content: The code for this indicator is original and does not violate any copyrights. Tagging: Smart Tags: Momentum, Candle, XAUUSD, USDJPY, Bullish, Bearish, M5, M15, Technical Indicator, Market Momentum.
Pine Script®指标
由sekolah_trading提供
1
Volatility Trend FollowerThe script combines several classic technical analysis techniques: SuperTrend / Adaptive Band - The main idea comes from the SuperTrend indicator, which uses ATR (Average True Range) to create a trailing band that adapts to volatility ATR (Average True Range) - A volatility measure developed by J. Welles Wilder Jr. EMA (Exponential Moving Average) - Used as a global trend filter Heikin Ashi - An option to smooth prices and reduce noise
Pine Script®策略
由Benji1302提供
Fixed $200 Risk Futures Position Sizer (2R Target)This indicator is designed for traders who want to follow a strict, professional-style risk model identical to the rules used in funded futures trading programs. Instead of risking a percentage of the account, the indicator always risks a fixed $200 per trade, regardless of contract or market volatility. This allows traders to simulate evaluation accounts and maintain perfect risk discipline. The tool works across a wide range of futures markets — including micro, mini, and continuous contracts (MES, MNQ, MNQ1!, MYM, M2K, MCL, MGC, ES1!, NQ1!, GC1!) — and automatically loads the correct tick size and tick value for each contract. This ensures that stop distance and risk calculations are always accurate, even when switching between index futures, metals, or energy markets. You simply enter your Entry Price and Stop Loss Price, and the indicator calculates: The stop distance in points and ticks The exact dollar risk per contract The maximum number of contracts allowed while staying under a fixed $200 risk A fully automated 2R take-profit target (equivalent to $400 profit per trade) Expected profit per contract Total projected profit based on allowed size Full long/short direction detection This makes position sizing effortless and completely rule-based. If the chosen stop-loss distance requires more than $200 of risk per contract, the indicator will automatically show 0 contracts allowed, preventing invalid trades and helping maintain consistency. For clarity and execution, the indicator also plots: A green Entry Line A red Stop-Loss Line A blue 2R Take-Profit Line This produces a visual, easy-to-understand risk-to-reward layout directly on the chart. This tool is ideal for traders preparing for funded account challenges, traders practicing mechanical risk systems, or anyone who wants to enforce a strict, repeatable risk framework. It eliminates guesswork, improves consistency, and helps traders build discipline by sizing every trade according to a fixed dollar risk with a precise 2R reward objective.
Pine Script®指标
由Robertwins提供
9 EMA Retracement Buy/Sell + Volume FilterFor all you scalpers out there this is a 9 ema scalp Indicator coupled with volume bars, the Indicator plots buy and sell when the conditions are met Price mist be above or below the 9 ema it must retrace and the volume bar must match the direction of the candle and then a signal will be printed with a red or green triangle, do not blindly take all trades on the signals make sure the is a trend works on any asset and remember it is for scalping only
Pine Script®指标
由boption4mzrj提供
Volume Heikin Ashi by CrugThis indicator combines the Heikin Ashi with classic volume candles. It is useful to see the trend and "how much" volume it contains 1 - Select Volume Candles on the graph i.postimg.cc 2- In setting remove the all the colors i.postimg.cc 3- Insert the indicator 4- Using with momentum indicators (like Market liberator B, MACD, ...) it provides more precise and realistic data to plot divergences because it combines: classic japanese candle but with volumes. In the meantime it is easier to see the main trend i.postimg.cc
Pine Script®指标
由LukeKruger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
10
5MA＋TrendMagic + Disparity + Volume Spikes5MA + TrendMagic + Disparity Scalping + Volume Spikes is an all-in-one trend and momentum indicator designed for fast entries, trend confirmation, and volatility detection. Main Features Multiple EMAs (9/21/50/100/200) for trend structure TrendMagic for dynamic trend direction and stop levels Ultra Fast Disparity Scalper (EMA disparity + RSI + RVI momentum) Volume Spike Detection with smart filters (valid highs/lows, candle types, color match, session filter) Gold Volatility Signals using ATR, Bollinger Bands, HV/RV spread Clear BUY/SELL markers, overheat filters, and full alert support This tool helps identify early reversals, confirm major trends, and highlight strong volume-driven turning points.
Pine Script®指标
由masato19810122提供
1
TedAlpha – Structure / FVG / OB Sessions: Only looks for trades when price is inside your defined London or NY time blocks. CHOCH: Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish. FVG: Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it. Order Blocks: On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone. Signal: A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles). Short is the mirror image. RR 1:3: SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
Pine Script®指标
由teddyleting提供
VCAI Volume & Liquidity Map LiteVCAI Volume & Liquidity Map Lite visualises recent market participation using a horizontal liquidity/volume histogram plotted beside current price. It shows where trading activity has clustered, where the chart is thin, and how much of that activity came from buying vs selling pressure. This Lite edition keeps the tool simple and fast: Yellow = buy-side volume (aggressive buyers / upward pressure) Purple = sell-side volume (aggressive sellers / downward pressure) Thicker sections = higher traded volume at that price POC line (purple) marks the price with the highest volume concentration Value Area lines (yellow dashed) mark where ~70% of volume has traded Bars extend outward to the right of price for a clean, unobstructed chart Lookback setting controls how many candles the map is built from Use it to quickly identify: high-interest price zones low-liquidity areas where price can move fast likely reaction levels where momentum may slow, reverse, or break through Designed as a lightweight, open-source tool for anyone wanting a clean liquidity/volume map without complex settings. Part of the VCAI Lite Series.
Pine Script®指标
由Vectorcoresai提供
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators. This Lite edition focuses on the essentials: real activity vs dead sessions expansion vs contraction momentum shifts around breakouts and pullbacks No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework. Use it to quickly spot: stronger moves backed by genuine participation weak pushes running on low volume areas where momentum may stall or accelerate Part of the VCAI Lite Series.
Pine Script®指标
由Vectorcoresai提供
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers. The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone: -Entry velocity inside the gap -Volume absorption during tests -Structural integrity and depth of penetration The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur. All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments. 🔹 Features 🔸 Automated Fair Value Gap Detection The script detects both bullish and bearish FVGs based on classic three candle logic: Bullish FVG: current low is strictly above the high from two bars ago Bearish FVG: current high is strictly below the low from two bars ago 🔸 ATR Based Gap Filter To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter. 🔸Per Gap State Machine and Lifecycle Each gap is tracked with an internal status: Fresh: gap has just formed and has not been tested Testing: price is currently trading inside the gap Tested: gap was tested and left, waiting for a potential new test Rejected: price entered the gap and then rejected away from it Filled: gap is considered fully mitigated and no longer active This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly. 🔸 Visual Ranking of Gaps by Metrics For each active gap, three additional horizontal rank bars are drawn on top of the gap area: Rank 1 (Vel): maximum entry velocity inside the gap Rank 2 (Vol): relative test volume compared to average volume Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions. 🔸Signals and Rejection Markers When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip: -Velocity percentage -Volume percentage -Safety score -Number of tests 🔸 Flexible Mitigation Logic (Close or Wick) You can choose how mitigation is defined via the Mitigation Method input: Close: the gap is considered filled only when the closing price crosses the gap boundary Wick: a full fill is detected as soon as any wick crosses the gap boundary 🔸 Alert Conditions -New FVG formed -Price entering a gap (testing) -Gap fully filled and invalidated -Rejection signal generated 🔹Calculations This section summarizes the main calculations used under the hood. Only the core logic is covered. 1. ATR Filter and Gap Size The script uses a configurable ATR length to filter out small gaps. First the ATR is computed: float atrVal = ta.atr(atrLength) Gap size for both directions is then measured: float gapSizeBull = low - high float gapSizeBear = low - high If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime. 2. Fair Value Gap Detection The basic FVG conditions use a three bar structure: bool fvgBull = low > high bool fvgBear = high < low For bullish gaps the script stores: -top as low of the current bar -bottom as high For bearish gaps: -top as high of the current bar -bottom as low This defines the price range that is considered the imbalance area. 3. Depth and Safety Score Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth: float currentDepth = 0.0 if g.isBullish if l < g.top currentDepth := g.top - l else if h > g.bottom currentDepth := h - g.bottom if currentDepth > g.maxDepth g.maxDepth := currentDepth The safety score expresses how much of the gap remains intact: float depthRatio = g.maxDepth / gapSize float safetyScore = math.max(0.0, 1.0 - depthRatio) safetyScore near 1: gap is mostly untouched safetyScore near 0: gap is mostly or fully filled 4. Velocity Metric Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap: float barRange = h - l float bodyRatio = math.abs(close - open) / barRange float directionBonus = 0.0 if g.isBullish and close > open directionBonus := 0.2 else if not g.isBullish and close < open directionBonus := 0.2 float currentVelocity = math.min(bodyRatio + directionBonus, 1.0) The gap keeps track of the strongest observed value: if currentVelocity > g.maxVelocity g.maxVelocity := currentVelocity This maximum is later used as velScore when building the velocity rank bar. 5. Volume Accumulation and Volume Score While price is trading inside a gap, the script accumulates the traded volume: if isInside g.testVolume += volume It also keeps track of the number of tests and the volume at the start of the first test: if g.status == "Fresh" g.status := "Testing" g.testCount := 1 g.testStartVolume := volume An average volume is computed using a 20 period SMA: float volAvg = ta.sma(volume, 20) The expected volume is approximated as: float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2) The volume score is then: float volScore = math.min(g.testVolume / expectedVol, 1.0) This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime. 6. Rank Bar Scaling All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width: float maxWidth = math.max(bar_index - g.index, 1) Then each metric is mapped to a bar length: int len1 = int(math.max(1, maxWidth * velScore)) g.rankBox1.set_right(g.index + len1) int len2 = int(math.max(1, maxWidth * volScore)) g.rankBox2.set_right(g.index + len2) int len3 = int(math.max(1, maxWidth * safetyScore)) g.rankBox3.set_right(g.index + len3) This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
Pine Script®指标
由UnknownUnicorn113699460提供