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스크립트에서 "volume"에 대해 찾기

TFS: Volume Oscillator Backtest This is the second part of TFS trading strategy. The concept of this indicator is similar to that of On-Balance Volume indicator (OBV). It is calculated according to these rules: If Close > Open, Volume is positive If Close < Open, Volume is negative If Close = Open, Volume is neutral Then you take the 7-day MA of the results. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
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HPotter의
Footprint strategyThis strategy uses imbalance volume data obtained by footprint calculation technology. There are two signals to enter a trade: trend - the current buy volume on the bar is greater than the current sell volume and there is at least one imbalance line. reversal - the current bar is falling, but the general market trend is positive (growing) and the imbalance buy volume exceeds the imbalance sell volume. When any of the conditions is triggered, two orders are placed: Take Profit and Stop loss (according to the percentage value from the inputs). A little advice on use: The strategy performs best on a 15 minute timeframe. It is necessary to choose acceptable values of Take Profit and Stop loss depending on the order of symbol prices. Inputs related to the strategy: Stop loss - percentage size of stop loss to exit the trade. Enable stop loss - stop loss activation. Take Profit - percentage size of Take Profit. Calculation timeframe - this is the timeframe from which the volume will be collected for distribution to buy and sell (if you do not have access to the seconds chart, set here 1 minute, the accuracy will be less, but it will work). Trend timeframe - this is the timeframe from which the trend will be calculated. Enable trend - activation of trend calculation. Inputs related to the calculation of footprints (collection of the volume of purchases and sales): Count show bars - Number of bars from rt bar to history to calculate. Display all available bars - Strategy calculation on all available bars (based on the available amount of data with reduced resolution (set in Calculation timeframe)). Ticks Per Row - Sets the price step, calculated by multiplying the entered value by syminfo.mintick. Auto - The automatic "Ticks Per Row" calculation is based on the first available bar and applied to subsequent bars. Max row - sets the acceptable number of rows within a bar. Imbalance Percent - A percentage coefficient to determine the Imbalance of price levels. Stacked levels - And minimum number of consecutive Imbalance levels required to draw extended lines. If you have suggestions for improving the strategy and adding new conditions for entering and exiting the trade, please write).
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dboichenko의
5
4H Rejection + 2x15m Delta StrategyThis strategy uses rejections levels on different timeframes (you can change this in the settings) to identify the possibility of a price reaction or movement in the opposite side and potentially getting involved. The confirmation for an entry signal is the volume and specifically the total delta of the candles after tabbing the rejection level on that specific time frame. The delta has to show 2 positive candles for a buy at a support level, or 2 negative candles for a sell at a resistance level. The strategy is quite flexible as it gives you the chance to adjust a lot of the things within the settings. You can play around with the time frames in which you want to get your confirmation for the signal, as well as choosing which time frame you want the strategy to draw your rejection levels in. Note: This strategy may show profitable results in the backtest/strategy tester but still not 100% guaranteed. Therefore, you need to do your own research on the market and the included strategy for better results.
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MoG_4의
1
Bottom catch strategyThis script is a strategy to buy on the basis of a short-term bottom on a prominent volume in a downtrend. The logic is very simple. Volume is above +2σ. RSI indicates oversold conditions. When the above conditions are met, the current location is judged to be a short-term bottom and the price is bought. にほんご このスクリプトは、下降トレンド中における突出した出来高を短期的な底と判断し、買うという戦略です。 ロジックはとてもシンプルです。 ・出来高が+2σ以上である ・RSIが売られ過ぎを示している 以上の条件を満たすとき、現在地が短期的な底と判断しロングします。 短期的な底をスナイプするため、時間軸は短いほど（1~5分とか）上手く動くと思います。 BTCUSD以外で試してないです。
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footlz의
3
hc,bitmexi have tweaked the algorithm to use the difference in MACD to get the correct direction of entries rather than using direction of candles which are not always indicative of trend direction. These changes increase net profit, profitable trades, while reducing drawdown. What is going on here? This strategy is pretty simple. We start by measuring a very long chunk of volume history on BitMEX:XBTUSD 1 hour chart to find out if the current volume is high or low. At 1.0 the indicator is showing we are at 100% of normal historical volume . The blue line is a measure of recent volume! This indicator gets interested when the volume drops below 90% of the regular volume (0.9), and then comes back up over 90%. There's usually a pump of increased price activity during this time. When the 0.9 line is crossed by the blue line, the indicator surveys the last 2 bars of price action to figure out which way we're going, long or short. Green is long. Red is short. To exit the trade we use a 7 period fast ema of the volume crossing under an 11 ema slower period which shows declining interest in the market signifying an end to the pump or dump. The profit factor is quite high with 5x leverage, but historically we see 50% drawdown -- very risky. 1x leverage looks nice and tight with very low drawdown. Play with the inputs to see what matches your own risk profile. I would not recommend taking this into much lower timeframes as trading fees are not included in the profit calculations. Please don't get burned trading on stupid high leverage. This indicator is probably not going to work well on alts, as Bitcoin FOMO build up and behavior is different. This whole indicator is tuned to Bitcoin , and attempts to trade only the meatiest part of the market moves.
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youtuber_quantlee의
1
zavaUnni-bitcoin signals(1day) 📌 This strategy predicts price movements based on trading volume and enters positions accordingly. It calculates the expected price increase based on bullish volume and the expected price decrease based on bearish volume to determine the direction of the position. Top predicted price based on declining bullish volume: top_ifpricebull Bottom predicted price based on declining bearish volume: top_ifpricebear Top predicted price based on increasing bullish volume: bot_ifpricebull Bottom predicted price based on increasing bearish volume: bot_ifpricebear Using these four values, the strategy calculates the final maxprice and minprice based on volume. If the price settles above the max value, it indicates an upward trend; if it settles below the min value, it indicates a downward trend. 📌 The indicator does not solely rely on the maxprice and minprice conditions. It incorporates complex and sophisticated analysis by considering average volume and candle size. During a decline, if the average volume and spread of bullish candles exceed those of bearish candles and the price settles above the max value, a long position is entered. During a rise, if the average volume and spread of bearish candles exceed those of bullish candles and the price settles below the min value, a short position is entered. Even if the above conditions are met, if the buying pressure significantly outweighs the selling pressure, the position will be closed, but a reverse position will not be entered. Reviewing historical data shows that while there are instances where the position switches from long to short immediately, there are also cases where the position is closed and re-entered after a few candles. 📌 Trading volume is one of the most traditional yet essential indicators, accurately reflecting price direction. This strategy, which simultaneously predicts fundamental trading volume and price changes, consistently achieves a profit factor above 3. Characteristics and Historical Data of the Strategy 🔴 Short position entry: April 11, 2022 🟢 Long position entry after closing short: January 11, 2023 ⚫ Short position holding period: 270 days 🟢 Long position entry: October 9, 2020 🔵 Long position exit: November 30, 2019 ⚫ Long position holding period: 52 days 🟢 Long position entry: November 30, 2019 🔵 Long position exit: February 22, 2021 ⚫ Long position holding period: 84 days Settings Explanation 🛠️ In the input, you can choose between spot and futures. Buy and sell signals are generated in spot trading, while long and short signals are generated in futures trading. 🌈 You can configure the screen view. Fibonacci Trend Falling Fibonacci levels from the top: 382 and 618 levels (Red lines) Rising Fibonacci levels from the bottom: 382 and 618 levels (Green lines) When the price stays within the 382 and 618 levels of the falling Fibonacci, the background turns red; when it stays within the 382 and 618 levels of the rising Fibonacci, the background turns green. Real-time Volume Strength of Bullish and Bearish Candles Red arrow: Appears when the strength of bearish candles increases Green arrow: Appears when the strength of bullish candles increases Cumulative Volume of Bullish and Bearish Candles during the Trend Cumulative data of falling bullish and bearish candles from the top Cumulative data of rising bullish and bearish candles from the bottom Profit Table Provides annual and monthly profit tables. Setting Options You can change the options in the attributes to test different configurations. 📌 Trading Data Although Binance data starts from 2017, limiting the number of trades to 60 as of July 2024, this does not undermine the validity of the strategy. Binance provides reliable volume data, which is crucial for evaluating the strategy's performance. In contrast, exchanges like Bitstamp may have longer trading histories but insufficient volume to properly assess the strategy's actual performance. A volume-based strategy cannot be reliably tested on an exchange with low trading volume. Therefore, despite the limited number of trades on Binance, its reliable volume data justifies its use for this strategy. ► Backtesting Details: Timeframe: 1D / Bitcoin / TetherUS Initial Balance: $50,000 (Enter the initial capital you will invest) Order Size: 10% (Enter the percentage of your account balance you will trade) Commission: 0.04% (Enter the trading commission) Slippage: 10 ticks (Enter the slippage you want to test) When using the strategy: 📢 Timeframe: While the strategy performs well on timeframes lower than daily, it is particularly profitable on the daily timeframe. 📢 Exchange: It is recommended to use Binance due to its reliable volume data. 📢 This strategy is suitable for traders who have the patience to hold positions for extended periods, as it calculates the size of bullish and bearish candles carefully and does not change positions easily. 📢 Spot trading is recommended over futures, and if using futures, leverage should be limited to a maximum of 2x.
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zavaUnni의
Yuri Garcia Smart Money Strategy FULL (COMPLIANT)Yuri Garcia Smart Money Strategy FULL (Slope Divergence) This script is not a mashup of random indicators. It is an original, coherent strategy that blends multiple institutional-grade tools to form a unified Smart Money trading system. Each component contributes to precise trade filtering, context, and confirmation — no element is decorative or redundant. 🔍 Strategy Logic: How It Works This strategy integrates the following tools, each with a clearly defined role: 1. Volume Cluster Zones (Orange bands) Identifies strong buy/sell areas using the highest volume nodes over a rolling window. These act as dynamic points of control where Smart Money is likely active. 2. HTF Zones (4H) (Purple band) Defines institutional zones by using the 20-bar high/low on the 4-hour chart. These set the outer bounds for valid entries, ensuring alignment with larger market structure. 3. Wick Pullback Filter (Orange circle 🔶) Detects exhaustion or absorption near zones. Used to confirm genuine rejection after liquidity sweeps or traps. 4. Cumulative Delta Confirmation (Red square 🟥) Analyzes whether buyers or sellers are dominant using delta volume. Trades only trigger when volume confirms the intended direction. 5. Slope-Based Delta Divergence (Optional) Detects hidden reversals between price and delta. This prevents late entries and provides early insight into potential trap reversals. 6. Liquidity Grab Detection (Blue diamond 🔷) Marks smart money stop hunts — temporary price breaks beyond highs/lows, followed by reversal. Used as a confluence tool. 7. ATR-Based Dynamic Risk Control The strategy uses ATR to calculate SL/TP dynamically. This allows position sizing to adjust to volatility, reducing overexposure in high-momentum conditions. 🎯 Entry Criteria All the following conditions must be met: ✅ Price is inside a Volume Cluster Zone ✅ Price is within the HTF Institutional Zone ✅ Wick Pullback confirms reaction ✅ Delta confirms strength of buyers/sellers ✅ (Optional) Slope-based divergence signals hidden shift ✅ (Optional) Liquidity grab occurs Only then will the strategy trigger an entry. 📈 Visual Legend (Symbols on Chart) Symbol Description 🟣 Purple Zone HTF Support/Resistance zone (4H context) 🟠 Orange Zone Volume cluster from top 3 volume nodes 🔶 Orange Circle Wick Pullback confirmation 🟥 Red Square Delta Confirmation 🔷 Blue Diamond Liquidity Grab indicator 🔵 Blue X Price is inside HTF Zone 🔻 Red Triangle SHORT entry signal 🔺 Green Triangle LONG entry signal These visuals make it easier to read the chart intuitively while understanding each condition’s role. ⚙️ Strategy Settings Justification Default Qty: 2% of equity (sustainable risk) RRR: 2.0 (adaptive to volatility) ATR Multiplier: 2.0 for SL/TP Commission: 0.1% used Slippage: 2 points for realism Minimum Trades for Testing: Designed to generate over 100 trades under normal backtest conditions Dataset: Supports BTC, GOLD, Forex, Indices with realistic volatility and volume These settings reflect a realistic use case for average retail traders and avoid overfitting or unrealistic returns. 📌 How to Use Apply on 15-minute or 1-hour timeframe. Wait for full alignment of all entry conditions. Confirm visually or use included alerts for manual or bot execution. SL and TP are automatically handled. 🚫 Important Notes This script is original, not a remix or mashup of unrelated indicators. Each component was designed to work in harmony, enhancing trade quality and confidence. No external scripts are required to function. Alert messages are pre-formatted for both manual and webhook use.
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YGD_CONSULTING_LLC의
Absorption PROOF - Absorption PRO (Clean & Smart)Ultra-clean, high-precision absorption reversal strategy.Detects institutional buying/selling pressure using volume-weighted delta proxy and VWAP deviation zones.Smart RSI + early-session range filter automatically separates valid range-bound reversals from trend exhaustion.Green/Red circles → High-probability entries (fully tradable) Small crosses + colored zones → Rejected signals (avoid) Blue dotted lines → Session range ±100% deviation levels (optional) By default: only signals and rejection zones displayed — zero clutter.Minimalist, professional, and deadly accurate on futures & forex (1m–15m).Less noise. Better trades.
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Kara_Tools의
Order Flow AnalysisThe script plots the order flow clusters for the last six candles in the middle right. The cluster contains buy volume, sell volume and the price range of the volume. It calculates uptick volume as buy volume and down tick volume as sell volume and calculates the delta(shown in labels). Recent ATR is considered to determine each cell price range in the cluster. At the left side, the top volume ticks and the live ticks are displayed. Please note this works only during market trading hours. Do not refresh the browser tab and do not change the timeframe, which will cause ​a reset of numbers.
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algotradewiz의
75
Pressure Pivots - MPI (Strategy)⇋ PRESSURE PIVOTS — MARKET PRESSURE INDEX STRATEGY A comprehensive reversal trading system that combines order flow pressure analysis, multi-factor confluence detection, and adaptive machine learning to identify high-probability turning points in liquid markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE INNOVATION: MARKET PRESSURE INDEX (MPI) Traditional indicators measure price movement. The Market Pressure Index measures the force behind the movement. How MPI Works: Every bar tells two stories through volume distribution: • Buy Pressure: Volume × (Close - Low) / (High - Low) • Sell Pressure: Volume × (High - Close) / (High - Low) • Net Pressure: Buy Pressure - Sell Pressure This raw pressure is then normalized against baseline activity to create the bounded MPI (-1.0 to +1.0): • Smooth Pressure: EMA(Net Pressure, period) • Baseline Activity: SMA(|Net Pressure|, period × 2) • MPI: (Smooth Pressure / Baseline) × Sensitivity What MPI Reveals: MPI > +0.7: Extreme buy pressure → Exhaustion potential MPI = +0.2 to +0.7: Healthy bullish momentum MPI = -0.2 to +0.2: Neutral/balanced pressure MPI = -0.7 to -0.2: Healthy bearish momentum MPI < -0.7: Extreme sell pressure → Exhaustion potential Why It Works: Two bars can both move 10 points, but if one closes at the high on high volume (aggressive buying) and the other closes mid-range on average volume (weak buying), only MPI distinguishes between sustainable momentum and exhaustion. This volume-weighted pressure analysis reveals conviction behind price moves—the key to timing reversals. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SEVEN-FACTOR CONFLUENCE SYSTEM MPI extremes alone aren't enough. The system requires multiple independent confirmations through weighted scoring: 1. DIVERGENCE (Weight: 3.0) — Premium Signal Type: DIV Price makes new high but MPI makes lower high (or inverse for bullish) • Detection: Tracks pivots with 5-bar lookback, compares price vs MPI at pivot points • Signal: Purple triangles, highest weight (pressure weakening while price extends) 2. LIQUIDITY SWEEP (Weight: 2.5) — Premium Signal Type: LIQ Price breaks swing high/low within 0.3 ATR then reverses • Detection: Break within tolerance + close back through level • Signal: Orange triangles, second-highest weight (stop hunt reversal) 3. ORDER FLOW IMBALANCE (Weight: 2.0) — Premium Signal Type: OF Aggressive buying/selling 50% above normal • Detection: EMA(aggressive volume) vs SMA(imbalance) threshold • Signal: Aqua triangles, institutional positioning 4. VELOCITY EXHAUSTION (Weight: 1.5) Parabolic move (2+ ATRs in 3 bars) + extreme MPI • Detection: |3-bar price change / ATR| > threshold + MPI > ±0.5 • Indicates: Momentum deceleration, blow-off top/bottom 5. WICK REJECTION (Weight: 1.5) Single bar: wick > 60% of range, or sequence: 2 bars with 40% + 30% wicks • Detection: Shooting stars (bearish) or hammers (bullish) • Indicates: Intrabar rejection, battle won by opposing side 6. VOLUME SPIKE (Weight: 1.0) Volume > 20-bar average × multiplier (default: 2.0x) • Detection: Participation surge confirmation • Lowest weight: Can be manipulated, better as confirmation 7. POSITION FACTOR (Weight: 1.0) At 10-bar highest (bearish) or lowest (bullish) • Detection: Structural positioning for reversal • Base requirement: Must be at extreme to score Scoring Logic: Premium Signals (DIV/LIQ/OF): Must score ≥6.0 (default premiumThreshold) Standard Signals (STD): Must score ≥4.0 (default standardThreshold) Example Scoring: Divergence (3.0) + Liquidity Sweep (2.5) + Volume (1.0) = 6.5 → FIRES (DIV signal) Recent High (1.0) + Wick (1.5) + Volume (1.0) + Velocity (1.5) = 5.0 → FIRES (STD signal) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ADAPTIVE LEARNING ENGINE Unlike static strategies, this system learns from every trade and optimizes itself. Performance Tracking: Every trade records: • Entry Score: Confluence level at entry • Signal Type: DIV / LIQ / OF / STD • Win/Loss: Boolean outcome • R-Multiple: (Exit - Entry) / (Entry - Stop) • MAE: Maximum Adverse Excursion (worst drawdown) • MFE: Maximum Favorable Excursion (best profit reached) Three Adaptive Parameters: 1. Signal Threshold Adaptation If Win Rate < Target (45%): RAISE threshold → fewer signals, better quality If Win Rate > Target + 10% AND good R: LOWER threshold → more signals, profitable 2. Stop Distance Adaptation If Avg MAE > 0.85 AND WR < 50%: WIDEN stops → reduce premature exits If Avg MAE < 0.4 AND WR > 55%: TIGHTEN stops → reduce risk 3. Target Distance Adaptation If Avg MFE > Target × 1.5: EXTEND targets → capture more of runners If Avg MFE < Target × 0.7: SHORTEN targets → take profits faster Signal Type Filtering: The system tracks performance by type (DIV/LIQ/OF/STD): • If Type WR < 40% AND Avg R < 0.8: Type DISABLED • If Type WR ≥ 40% OR Avg R ≥ 0.8: Type RE-ENABLED Example: If OF signals consistently lose while DIV signals win, system automatically stops taking OF signals and focuses on DIV. Warmup Period: First 30 trades (default) gather baseline data with relaxed thresholds. After warmup, full adaptation activates. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COMPLETE POSITION MANAGEMENT Dynamic Position Sizing: Base Contracts = (Equity × Risk%) / (Stop Distance × Point Value) Then multiplied by: • Score Bonus: Up to +50% for highest-scoring signals • Signal Type Bonus: DIV signals +50%, LIQ signals +30% • Streak Multiplier: After 3 losses: 50% reduction, After 3 wins: 25% increase Example: High-scoring DIV signal on winning streak = 3-4× larger position than weak STD signal on losing streak Entry Modes: Single Entry: Full size at once, exit at TP2 (or partial at TP1) Tiered Entry: 40% at TP1 (2R), 60% at TP2 (4R adaptive) Stop Management (3 Modes): Structural: Beyond recent 20-bar swing high/low + buffer ATR: Fixed ATR multiplier (default: 2.0 ATR, then adapts) Hybrid: Attempt structural, fallback to ATR if invalid Plus: • Breakeven: Move stop to entry ± 1 tick when 1R reached • Trailing: Activate when 1.5R reached, trail 0.8R behind price • Max Loss Override: Cap dollar risk regardless of calculation Target Management: Fixed Mode: TP1 = 2R, TP2 = 4R Adaptive Mode: TP1 = 2R fixed, TP2 adapts based on MFE analysis Partial Exits: Default 50% at TP1, remainder at TP2 or trailing stop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COMPREHENSIVE RISK CONTROLS Daily Limits: • Max Daily Loss: $2,000 default → HALT trading • Max Daily Trades: 15 default → prevent overtrading • Max Concurrent: 2 positions → limit correlation risk Session Controls: • Trading Hours: Specify start/end times + timezone • Weekend Block: Optional (avoid crypto weekend volatility) Prop Firm Protection (Live Trading Only): • Daily Loss Limit: Stricter of general or prop limit ($1,000 default) • Trailing Drawdown: Tracks high water mark, HALTS if breach ($2,500 default) • Reset on Reload: Optional high water mark reset Liquidity Filter (Optional): • Time-Based: Avoid first/last X minutes of session • Volume-Based: Require minimum volume ratio (0.5× average default) Market Regime Filter (Optional): • ADX-Based: Only trade when ADX > threshold (trending) • Block: Consolidation (ADX < 20) or Transitional regimes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REAL-TIME DASHBOARD MPI Gauge Section: Shows current pressure: 🟢 STRONG BUY (+0.5 to +1.0), 🟩 BUY PRESSURE (+0.2 to +0.5), ⚪ NEUTRAL (-0.2 to +0.2), 🟥 SELL PRESSURE (-0.5 to -0.2), 🔴 STRONG SELL (-1.0 to -0.5) Signal Status Section: • Active Signals: "🔴 DIV SELL" (purple background), "🟢 LIQ BUY" (orange), "🔵 OF SELL" (aqua), "🟢 STD BUY" (green) • Warnings: "⚠️ BEAR WARNING" / "⚠️ BULL WARNING" (yellow) — setup forming, not full signal • Scanning: "⏳ SCANNING..." (gray) — no signal active • Confidence Bar: Visual score display "██████░░░░" showing confluence strength Divergence Indicator: "🟣 BEARISH DIVERGENCE" or "🟡 BULLISH DIVERGENCE" when detected Performance Statistics: • Overall Win Rate: Wins/Total with visual bar (lime ≥70%, yellow 50-70%, red <50%) • Directional: Bearish vs Bullish win rates separately • By Signal Type: DIV / LIQ / OF / STD individual performance tracking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KEY PARAMETERS EXPLAINED 🎯 Pressure Engine: • MPI Period (5-50, default: 14): Smoothing period — lower for scalping, higher for position trading • MPI Sensitivity (0.5-5.0, default: 1.5): Amplification — lower compresses range, higher more extremes 🔍 Detection: • Wick Threshold (0.3-0.9, default: 0.6): Minimum wick-to-range ratio for rejection • Volume Spike (1.2-3.0x, default: 2.0): Multiplier above average for spike • Aggressive Ratio (0.5-0.9, default: 0.65): Close position in range for aggressive orders • Velocity Threshold (1.0-5.0 ATR, default: 2.0): ATR-normalized move for exhaustion • MPI Extreme (0.5-0.95, default: 0.7): Level considered overbought/oversold ⚖️ Weights: • Divergence: 3.0 (highest — pressure weakening) • Liquidity: 2.5 (second — stop hunts) • Order Flow: 2.0 (institutional positioning) • Velocity: 1.5 (momentum exhaustion) • Wick: 1.5 (rejection patterns) • Volume: 1.0 (lowest — can be manipulated) 🎚️ Thresholds: • Premium (4.0-15.0, default: 6.0): Score for DIV/LIQ/OF signals • Standard (2.0-8.0, default: 4.0): Score for STD signals • Warning Confluence (1-4, default: 2): Factors for yellow diamond warnings 🧬 Adaptive: • Enable (true/false, default: true): Master learning switch • Warmup Trades (5-100, default: 30): Data collection before adaptation • Lookback (20-200, default: 50): Recent trades for performance calculation • Adapt Speed (0.05-0.50, default: 0.15): Parameter adjustment rate • Target Win Rate (30-70%, default: 45%): Optimization goal • Target R-Multiple (0.5-5.0, default: 1.5): Risk/reward goal 💼 Position: • Base Risk (0.1-10.0%, default: 1.5%): Equity risked per trade • Max Contracts (1-100, default: 10): Hard position limit • DIV Bonus (1.0-3.0x, default: 1.5): Size multiplier for divergence signals • LIQ Bonus (1.0-3.0x, default: 1.3): Size multiplier for liquidity signals 🛡️ Stops: • Mode (Structural/ATR/Hybrid, default: ATR): Stop placement method • ATR Multiplier (0.5-5.0, default: 2.0): Stop distance in ATRs (adapts) • Breakeven at (0.3-3.0R, default: 1.0R): When to move stop to entry • Trail Trigger (0.5-5.0R, default: 1.5R): When to activate trailing • Trail Offset (0.3-3.0R, default: 0.8R): Distance behind price 🎯 Targets: • Mode (Fixed/Adaptive, default: Fixed): Target placement method • TP1 (0.5-10.0R, default: 2.0R): First target for partial exit • TP2 (1.0-15.0R, default: 4.0R): Final target (adapts in adaptive mode) • Partial % (0-100%, default: 50%): Position percentage to exit at TP1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PROFESSIONAL USAGE PROTOCOL Phase 1: Paper Trading (Weeks 1-4) • Setup: Default settings, all adaptive features ON, 0.5% base risk • Goal: 30+ trades for warmup, observe MPI behavior and signal frequency • Adjust: MPI sensitivity if stuck near neutral or always at extremes • Threshold: Raise/lower if too many/few signals Phase 2: Micro Live (Weeks 5-8) • Requirements: WR >43%, at least one type >55%, Avg R >0.8 • Setup: 10-25% intended size, 0.5-1.0% risk, 1 position max • Focus: Execution quality, match dashboard performance • Journal: Screenshot every signal, track outcomes Phase 3: Full Scale (Month 3+) • Requirements: WR >45% over 50+ trades, Avg R >1.2, drawdown <15% • Progression: Months 3-4 (1.0-1.5% risk), 5-6 (1.5-2.0%), 7+ (1.5-2.5%) • Maintenance: Weekly dashboard review, monthly deep analysis • Warnings: Reduce size if WR drops >10%, consecutive losses >7, or drawdown >20% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DEVELOPMENT INSIGHTS The Pressure Insight: Emerged from analyzing intrabar volume distribution. Within every candlestick, volume accumulates at different price levels. MPI deconstructs this to reveal conviction behind moves. The Confluence Challenge: Early versions using MPI extremes alone achieved only 42% win rate. The seven-factor confluence system emerged from testing which combinations produced reliable reversals. Divergence + liquidity sweep became the strongest setup (68% win rate in isolation). The Adaptive Breakthrough: Per-signal-type performance tracking revealed DIV signals winning at 71% while OF signals languished at 38%. Adaptive filtering disabled weak types automatically, recovering win rate from 39% to 54% during the 2022 volatility spike. The Position Sizing Revelation: Dynamic sizing based on signal quality and recent performance increased Sharpe ratio from 1.2 to 1.9 while decreasing max drawdown from 18% to 12% over 500 trades. Bigger positions on better signals = geometric edge amplification. The Risk Control Lesson: Testing with $50K accounts revealed catastrophic failure modes: daily loss cascades, overtrading commission bleed, weekend gap blowouts. Multi-layer controls (daily limits, concurrent caps, prop firm protection) became essential. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LIMITATIONS & ASSUMPTIONS What This Is NOT: • NOT a Holy Grail: Typical performance 52-58% WR, 1.3-1.8 avg R, probabilistic edge • NOT Predictive: Identifies high-probability conditions, doesn't forecast prices • NOT Market-Agnostic: Best on liquid auction-driven markets (futures, forex, major crypto) • NOT Hands-Off: Requires oversight for news events, gaps, system anomalies • NOT Immune to Regime Changes: Adaptive engine helps but cannot predict black swans Critical Assumptions: 1. Volume reflects intent (valid for regulated markets, violated by wash trading) 2. Pressure extremes mean-revert (true in ranging/exhaustion, fails in paradigm shifts) 3. Stop hunts exist (valid in liquid markets, less in thin/random walk periods) 4. Past patterns persist (valid in stable regimes, fails when structure fundamentally changes) Works Best On: Major futures (ES, NQ, CL), liquid forex pairs (EUR/USD, GBP/USD), large-cap stocks, BTC Performs Poorly On: Low-volume stocks, illiquid crypto pairs, news-driven headline events ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RISK DISCLOSURE Trading futures, forex, and leveraged instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational purposes only and should not be construed as financial advice. The adaptive engine learns from historical data—there is no guarantee that past relationships will persist. Market conditions change, volatility regimes shift, and black swan events occur. No strategy can eliminate the risk of loss. Users must validate performance on their specific instruments and timeframes before risking capital. The developer makes no warranties regarding profitability or suitability. Users assume all responsibility for trading decisions and outcomes. "The market doesn't care about your indicators. It only cares about pressure—who's willing to pay more, who's desperate to sell. Find the exhaustion. Trade the reversal. Let the system learn the rest." Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script™ 전략
DskyzInvestments의
DZ Strategy ICTThe script presented is a trading strategy called "Breaker Block Strategy with Price Channel". This strategy uses multiple time frames (1 minute, 5 minutes, 15 minutes, 1 hour, and 4 hours) to detect support and resistance areas on the chart. The strategy uses parameters such as length, deviations, multiplier, Fibonacci level, move lag and volume threshold for each time frame. These parameters are adjustable by the user. The script then calculates support and resistance levels using the simple moving average (SMA) and standard deviation (STDEV) of closing prices for each time frame. It also detects "Breaker Blocks" based on price movement from support and resistance levels, as well as trade volume. A Breaker Block occurs when there is a significant breakout of a support or resistance level with high volume. Buy and sell signals are generated based on the presence of a Breaker Block and price movement from support and resistance levels. When a buy signal is generated, a buy order is placed, and when a sell signal is generated, a sell order is placed. The script also plots price channels for each time frame, representing resistance and support levels. Profit limit levels are set for each time range, indicating that the price levels assigned to positions should be closed with a profit. Stop-loss levels are also set to limit losses in the event of canceled price movements. In summary, this trading strategy uses a combination of Breaker Block detection, support and resistance levels, price channels and profit limit levels to generate buy and sell signals and manage positions on different time ranges.
Pine Script™ 전략
boumaizamoncef의
3
BitMEX pump catcherWhat is going on here? This strategy is pretty simple. We start by measuring a very long chunk of volume history on BitMEX:XBTUSD 1 hour chart to find out if the current volume is high or low. At 1.0 the indicator is showing we are at 100% of normal historical volume. The blue line is a measure of recent volume! This indicator gets interested when the volume drops below 90% of the regular volume (0.9), and then comes back up over 90%. There's usually a pump of increased price activity during this time. When the 0.9 line is crossed by the blue line, the indicator surveys the last 2 bars of price action to figure out which way we're going, long or short. Green is long. Red is short. To exit the trade we use a 7 period fast ema of the volume crossing under an 11 ema slower period which shows declining interest in the market signifying an end to the pump or dump. The profit factor is quite high with 5x leverage, but historically we see 50% drawdown -- very risky. 1x leverage looks nice and tight with very low drawdown. Play with the inputs to see what matches your own risk profile. I would not recommend taking this into much lower timeframes as trading fees are not included in the profit calculations. Please don't get burned trading on stupid high leverage. This indicator is probably not going to work well on alts, as Bitcoin FOMO build up and behavior is different. This whole indicator is tuned to Bitcoin, and attempts to trade only the meatiest part of the market moves. Weaknesses: it can sometimes pick to trade the wrong direction if if hits support or resistance and changes direction after a trade is entered. Use a stoploss. Strengths: It usually gets things right. Historically over 57% right. Use at your own risk!
Pine Script™ 전략
Jomy의
20