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EVS BTC V1Overview The "EVS BTC V1" is a momentum-based trading strategy designed for Bitcoin (BTC) or similar volatile assets on TradingView. It combines Exponential Moving Averages (EMAs) for trend direction, volume confirmation to filter for strong moves, and an optional Relative Strength Index (RSI) filter to avoid overextended entries. The strategy uses a trailing stop for exits to lock in profits dynamically. It's set up for backtesting with an initial capital of $10,000, risking 10% of equity per trade, and accounting for 0.1% commissions.This is a crossover strategy: it goes long on bullish EMA crossovers with high volume (and RSI not overbought) and short on bearish crossunders (with high volume and RSI not oversold). It's overlayed on the main price chart for easy visualization.Key Parameters (User-Adjustable)Fast EMA Period: 9 (default) – Shorter-term trend line. Slow EMA Period: 21 (default) – Longer-term trend line. Volume Multiplier: 1.5 (default) – Requires volume to be 1.5x the 20-period average for signal validation. Use RSI Filter?: Enabled (default) – Optional toggle to apply RSI conditions. RSI Period: 14 (default), with overbought threshold at 70 and oversold at 30. Trailing Stop Profit: 50 points (default) – Activates trailing once this profit level is hit. Trailing Stop Offset: 20 points (default) – Distance from the high/low to trail the stop-loss. Indicators UsedEMAs: 9-period (fast, blue line) and 21-period (slow, red line) on close prices. Volume Filter: Compares current volume to a 20-period SMA; signals only trigger if volume exceeds the average by the multiplier (highlighted in yellow bars). RSI: 14-period on close; plotted in purple on a sub-panel if enabled, with dashed horizontal lines at 70 (overbought) and 30 (oversold). Entry RulesEntries are triggered only when all conditions align on a bar close:Direction Conditions Long (Buy) - Fast EMA crosses over Slow EMA (bullish trend shift). - Volume is "high" (> 1.5x 20-period avg). - RSI < 70 (not overbought; skipped if filter disabled). Short (Sell) - Fast EMA crosses under Slow EMA (bearish trend shift). - Volume is "high" (> 1.5x 20-period avg). - RSI > 30 (not oversold; skipped if filter disabled). On entry: Places a market order using 10% of current equity. Alerts: Fires a one-time alert per bar (e.g., "Long Signal: EMA Crossover + High Volume!"). Exit RulesNo fixed take-profit or stop-loss on entry. Uses a trailing stop for both long and short positions:Trails the stop-loss 20 points below the highest high (for longs) or 20 points above the lowest low (for shorts), but only activates after 50 points of unrealized profit. This allows winners to run while protecting gains dynamically. Positions close automatically on opposite signals or trailing stop hits (no pyramiding; only one position per direction at a time). VisualizationMain Chart: Blue fast EMA and red slow EMA lines. Green background tint on long signals, red on short signals. Volume Sub-Panel: Gray columns for normal volume, yellow for high-volume bars; zero line for reference. RSI Sub-Panel (if enabled): Purple RSI line with overbought/oversold dashed lines. Strengths and ConsiderationsStrengths: Simple, trend-following with volume to avoid weak signals; RSI adds mean-reversion protection; trailing stops suit trending markets like BTC. Risks: Whipsaws in sideways markets (EMA crossovers can false-signal); volume filter may miss low-volume breakouts; trailing parameters (50/20 points) assume a specific price scale (e.g., BTC/USD in dollars—adjust for other pairs). Best For: Higher timeframes (e.g., 1H or 4H) on volatile crypto pairs. Backtest on historical data to tune parameters.
Pine Script® strategy
by ArcNobody13
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.
Pine Script® strategy
by Kara_Tools
MTF EMA Hariss 369The strategy has been prepared in a simplistic manner and easy to understand the concept by any novice trader. Indicators used: Current Time frame 20 EMA- Gives clear look about current time frame dynamic support and resistance and trend as well. Higher Time Frame 20 EMA: Gives macro level trend, support and resistance Kama: Capture volatility and trend direction. RVOL: Main factor of price movement. Buy when price closes above current time frame 20 ema and current time frame 20 ema is above higher time frame 20 ema. Stop loss just below the low of last candle. One can use current time frame 20 ema, higher time frame 20 ema or kama as stop loss depending upon type of asset class and risk appetite. The ideal way is to keep 20 ema as trailing sl if one wants to trail with trend. Sell when price closes below current time frame 20 ema and current time frame 20 ema is lower than higher time frame 20 ema. Stop loss just above high of last candle. Ideal target is 1.5 or 2 times of stop loss. Entry and exit time depends on trading style. Eg. if you want to enter and exit in 5 min time frame, then choose 15 min or 1h as higher time frame as trend filter. Buy and sell signals are also plotted based on this strategy. One should always go with the higher time frame trend. Opting higher time frame trend filter always filters out market noises.
Pine Script® strategy
by Hariss369
HMA+RVOL Strategy Hariss 369The Hull Moving Average (HMA) is a smooth, fast, and highly responsive moving average created by Alan Hull. It reduces lag significantly while still maintaining smoothness, making it one of the most popular tools for trend detection and entries. It is widely used for trend filter. Hull Moving Average(HMA) with RVOL strengthens the trend as volume is prime factor of price movement. Trading with HMA: Simple method is buy when price closes above HMA , stop less below the low of last candle and target is 1.5 or 2 times of stop loss. The reverse is for sell. The HMA automatically turns to green on bull trend and red on bear trend for better visual confirmation. Adding RVOL to HMA is better method of trading. Buy signal is initiated when price closes above HMA and RVOL is greater than 1.2. Sell signal is initiated when price closes below 89 HMA and rovl is greater than 1.2. One can change the value of RVOL according to trading style and type asset being traded. It is a back tested strategy.
Pine Script® strategy
by Hariss369
Volume weighted average price band strategy [Kevin-Patrick]VWAP Bands strategy, Credit VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals. Key Features Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis. Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements. Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions. Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones. Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions. Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups. + Strategy setting by Kevin-Patrick
Pine Script® strategy
by Kevin-Patrick
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® strategy
by DskyzInvestments
smart honey 2.0The smart honey 2.0 is a long-only trading strategy based on averaging entries. At "Entry" you can set to enter a trade at a specified averaging level. The best backtest result at "only 4th averaging". "Tp" is take profit. "Sensitivity" controls the frequency of trades - lower sensitivity means fewer, but higher-quality trades. Settings recommendations For 1m-5m timeframes, use low sensitivity and take profit values. For higher timeframes, increase the take profit value. For example, a profitable setting for many coins on a 5-minute timeframe is Tp = 1.5% Sensitivity = 2.7 Entry = only 4th averaging The strategy features a "Blue line" showing liquidity clusters influenced by Sensitivity. Price often bounces off this line. You can also set alerts for lists of coins, receiving notifications at each new candle about active positions
Pine Script® strategy
by martsinkevich
Alpha VWAP Regime🔥 Alpha VWAP Regime — Institutional VWAP Strategy (Closed Source) Alpha VWAP Regime is a multi-layered VWAP trading system that identifies the active market regime and adapts its signals based on institutional liquidity behavior. This strategy is closed-source because it uses a proprietary combination of VWAP structures, anchored pivot logic, band deviations, and regime detection filters that are not publicly available. 🧠 How the Strategy Works (Conceptual Explanation) This strategy does not rely on a single VWAP line. Instead, it builds a VWAP matrix consisting of: 1) Session VWAP Defines fair value for the current session. Used to detect intraday directional bias. 2) Anchored VWAP (AVWAP) Automatically anchored to swing highs and lows (pivot-based). Tracks where large players accumulated or distributed positions. 3) VWAP Bands (±1σ and ±2σ) Used as dynamic volatility envelopes: ±1σ = fair-value zone / no-trade area ±2σ = mean-reversion extremes 4) Market Regime Classification (ADX-based) The strategy determines which environment the market is in: Trending Regime: ADX above threshold Ranging Regime: ADX below threshold Breakout Regime: Volume-based breakout of AVWAP Each regime activates a different entry model. 📌 Entry Logic (High-Level Overview) Trend Mode Triggered only when ADX confirms a trend. Entries occur near VWAP or −1σ using price-action confirmation. Mean Reversion Mode Activated when the market is ranging. Entries target the ±2σ deviation bands. Breakout Mode Triggered by price crossing AVWAP with above-average volume. Used to catch institutional continuation moves. ALL Mode Combines the three models for a full adaptive system. 📉 Exits & Risk Management All stops and targets use ATR-based volatility sizing Trend trades aim for larger targets Mean-reversion trades aim for smaller snapback moves Breakouts use wider stops but high R:R 🔍 How to Use the Strategy Load the script on a clean chart Choose your preferred regime mode (Trend / MR / Breakout / ALL) Optionally hide VWAP indicators and display signals only Use realistic position sizing and commissions Evaluate performance across multiple assets and timeframes 🔒 Why It Is Closed-Source The code uses: A custom anchoring engine Multi-layered regime filters Dynamic VWAP matrix Prop logic for bias scoring These components were built from scratch and form a unique decision model, so the source is protected. 🇸🇦 الشرح العربي لاستراتيجية Alpha VWAP Regime Alpha VWAP Regime هي استراتيجية تداول مؤسسية متقدمة تعتمد على تحليل السيولة، وتحديد حالة السوق (Market Regime)، ودمج عدة طبقات من VWAP داخل نموذج واحد متكيف. الهدف من الاستراتيجية هو التداول في المناطق التي يتواجد فيها المال الذكي، وتجنب التداول في المناطق العشوائية أو منخفضة الجودة. ________________________________________ 🧠 كيف تعمل الاستراتيجية؟ الاستراتيجية لا تعتمد على VWAP واحد، بل تستخدم “مصفوفة VWAP” كاملة تتكوّن من: 1) VWAP اليومي (Session VWAP) يُستخدم لتحديد القيمة العادلة خلال الجلسة، وتحديد الاتجاه اللحظي (Intraday Bias). ________________________________________ 2) VWAP المثبّت (Anchored VWAP) يتم تثبيته تلقائيًا على: • القمم المهمة (Swing Highs) • القيعان المهمة (Swing Lows) ويساعد في تحديد مناطق تمركز المؤسسات، ومناطق الانعكاس أو الاختراقات الحقيقية. ________________________________________ 3) نطاقات VWAP (±1σ و ±2σ) تُستخدم كأغلفة ديناميكية للسيولة والتقلب: • ±1σ = منطقة القيمة العادلة (Fair-Value Zone) → غالبًا منطقة غير مناسبة للتداول (No-Trade Zone) • ±2σ = مناطق التشبّع الحركي (Extremes) → مناسبة لاستراتيجيات الانعكاس (Mean Reversion) ________________________________________ 4) تصنيف حالة السوق Market Regimes الاستراتيجية تستخدم مؤشر ADX لتحديد حالة السوق الحالية: حالة السوق الوصف Trending اتجاه واضح وقوي Ranging تذبذب بدون اتجاه Breakout اختراق مدعوم بحجم تداول كل Regime يفعّل نموذج دخول مختلف داخل الاستراتيجية. ________________________________________ 🎯 نماذج الدخول داخل الاستراتيجية 1) نموذج الاتجاه (Trend Mode) يعمل فقط عندما يكون السوق في اتجاه حقيقي. يعتمد على دخول Pullbacks قرب VWAP أو نطاق −1σ مع تأكيد شموعي. ________________________________________ 2) نموذج الانعكاس (Mean Reversion Mode) يعمل فقط عندما يكون السوق متذبذبًا (Range). الدخول عند لمس ±2σ بهدف العودة نحو VWAP. ________________________________________ 3) نموذج الاختراق (Breakout Mode) يستخدم اختراقات Anchored VWAP ولكن بشرط وجود حجم تداول أعلى من المتوسط (Volume Confirmation). ________________________________________ 4) وضع الدمج (ALL Mode) يجمع بين النماذج الثلاثة ويجعل الاستراتيجية متكيفة تلقائيًا مع كل حالات السوق. ________________________________________ 📉 الخروج وإدارة المخاطر تستخدم الاستراتيجية نظامًا ديناميكيًا لإدارة المخاطر: • وقف الخسارة مبني على ATR • الأهداف مبنية على طبيعة النموذج • الصفقات الاتجاهية تستهدف R:R أعلى • صفقات MR أقصر وأسرع • صفقات Breakout أوسع ولكن مدعومة بزخم قوي ________________________________________ 🧩 كيفية استخدام الاستراتيجية 1. ضع الاستراتيجية على رسم بياني نظيف بدون مؤشرات إضافية 2. اختر نموذج الدخول المناسب من الإعدادات 3. فعّل أو أخفِ خطوط VWAP حسب الحاجة 4. استخدم إعدادات مخاطرة واقعية 5. اختبر الاستراتيجية على عدة أسواق وفريمات ________________________________________ 🔒 سبب إغلاق الكود تم إغلاق الكود لأنها تعتمد على: • محرك تثبيت AVWAP خاص • نظام Regime Detection متقدم • مصفوفة VWAP متعددة الطبقات • منطق دخول/خروج خاص تم تطويره بالكامل كل ذلك يتطلب حماية الملكية الفكرية، لذا تم نشرها Closed-Source.
Pine Script® strategy
by AhmedAminTC
TSI.LTA | Base BTC 1DTSI.LTA | Base BTC 1D is a closed‑source trend‑following strategy designed for BTC on the 1D timeframe . It focuses on participating in the main directional moves of the market while avoiding as much short‑term noise as possible. 📊 The script: Uses a combination of moving‑average–based filters and volatility bands to define the active trend. Applies optional volume filters to avoid low‑participation or exhausted moves. Includes risk‑management controls (Stop Loss, Take Profit, Trailing Stop) that work on a per‑trade basis. All entries and exits are confirmed at bar close and the script does not repaint . This makes it suitable for backtesting, alerts and external automation. █  💡 CONCEPTS This strategy is built around a few simple ideas: 1 — Trend first. Positions are only taken when a group of smoothed trend filters agree on direction. The goal is to ride larger swings, not to scalp each fluctuation. 2 — Volatility awareness. Standard‑deviation–based bands help avoid entries in abnormal spikes or during very compressed ranges. 3 — Participation filter. Optional volume‑based conditions (VWMA, OBV slope, MFI, volume Z‑score) try to ensure that entries occur when the market shows enough activity, not during dead phases. 4 — Risk defined in advance. Stop‑loss and trailing‑stop inputs are expressed as percentages relative to entry price, so users can align them with their own risk tolerance. The logic is purposely conservative: it is expected to stay flat during parts of the market where the trend is unclear or participation is weak. █  ⚙️ FEATURES & INPUTS This section follows approximately the order of the script’s inputs, so users can read here and then match what they see in the “Inputs” tab. 1 — 📐 Trend filters These inputs control how the strategy detects the underlying trend: DEMA / Gaussian / SMMA lengths Control how fast or slow the trend reacts to price changes. Shorter lengths → more responsive, more trades, more noise. Longer lengths → slower reaction, fewer trades, more filtering. Volatility Bands (SD length & multipliers) Standard‑deviation bands around the smoothed price series. They are used to avoid entries during extreme moves or very narrow ranges where a breakout is not yet confirmed. In practice, these settings let the user choose between a more “aggressive” trend follower (shorter lengths, smaller bands) or a more “patient” one. 2 — 📊 Volume filters (optional) These filters are meant to restrict trades to periods where the market shows meaningful participation: VWMA filter Requires price to be aligned with a Volume‑Weighted Moving Average, which de‑emphasizes moves on very low volume. OBV slope filter Uses the slope of On‑Balance Volume to check that net volume flow supports the direction of the trade. MFI band filter Uses the Money Flow Index to avoid taking new entries in zones that often correspond to exhaustion (extreme values defined by the user). Volume Z‑Score Compares current volume to its recent history. Trades can be restricted when volume is unusually low or out of character for that period. When any of these filters are turned off, the strategy relies only on price‑based trend and volatility logic. When they are on, trades are more selective and may be fewer. 3 — 🛡️ Risk management These inputs define how individual trades are managed once entered. They do not change the trend logic itself: Stop Loss (%) A percentage move against the entry price that will close the position. Typical values on BTC 1D remain in the single‑digit range so that no single trade risks an unrealistic portion of equity. Take Profit (%) An optional fixed target that closes the trade when price has moved a chosen percentage in favor. This can be disabled if the user prefers to let the trend filters perform the exit. Trailing Stop (%) A stop that follows the most favorable price reached since entry. When the “use lower timeframe peak” option is enabled, peaks can be detected on a lower timeframe for more granular trailing, while decisions still occur at the close of the 1D bar. Fixed SL/TP Price and Activation Date Allow defining absolute price levels and a date from which they start applying. This is useful when the user wants structural protection around known price zones. The combination of these controls determines how deep a pullback the user is willing to tolerate and how much profit they are prepared to give back in order to stay in trends. 4 — 🚫 Filter failure & cooldown To avoid over‑trading in difficult environments, the script can: Automatically exit when filters remain unfavorable for a configurable number of bars. Enter a cooldown period, during which no new trades are taken, even if some conditions improve. These mechanisms are intended to protect capital during choppy or low‑quality phases rather than force constant exposure. █  📚 HOW TO USE A suggested process for using this strategy as a study tool: 1 — Start on BTC 1D. Apply the script to BTCUSD or BTC/USDT on the 1D timeframe, with default inputs. 2 — Open the Strategy Tester. Choose a time window (for example a full halving cycle, a crash + recovery period, or just the most recent bull leg). 3 — Compare with Buy & Hold. For the same window, look at: Net profit of the strategy vs Buy & Hold. Max drawdown of the strategy vs Buy & Hold. The goal is not to hit a particular number, but to see whether, in that window, the strategy manages to: Provide a smoother equity curve (lower drawdown), While still performing at least as well as, or better than, simply holding the asset. 4 — Experiment with risk inputs. Vary Stop Loss, Trailing Stop and the volume filters. After each change, re‑check the same two questions above. This should make clear how each input affects the trade‑off between participation and risk. 5 — Forward‑test. Before using any configuration with real capital, let it run for a while in paper‑trading or demo conditions. █  🚧 LIMITATIONS The strategy is built and tuned primarily for BTC on 1D. It can be used on other symbols and timeframes, but behavior may differ and requires new testing. In very tight ranges or during event‑driven gaps, trend logic may enter later than discretionary trading would. This is expected for a conservative trend‑following approach. Results from historical backtests depend on data quality, broker settings, fees and slippage configured in the Strategy Tester. █  📝 NOTES Signals are generated on bar close. The script is closed‑source, but the description explains the main ideas so users and moderators can understand what it does and how to use it. The HUD on the chart is meant as a compact summary of the same statistics available in the Strategy Tester; it simply makes comparisons quicker. █  ⚠️ DISCLAIMER This strategy is provided for educational and research purposes only . It is not financial advice and does not recommend any specific trades, assets, position sizes, or risk levels. Users are fully responsible for: Choosing their own risk parameters (Stop Loss, Take Profit, Trailing Stop, position sizing, etc.). Testing the script on the markets and timeframes they intend to trade. Verifying that any configuration is appropriate for their capital, risk tolerance and jurisdiction. Past performance in backtests or examples does not guarantee future results. Always test carefully before considering any live deployment.
Pine Script® strategy
by info_tsi_lat
Braid Filter StrategyThis strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Chad Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving AveragesThese averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
Pine Script® strategy
by ChadAnt
7
Braid Filter StrategyAnother of TradeIQ's youtube strategies. It looks a little messy but it combines all the indicators into one so there are no extra panes. This strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" name—it weaves together several conditions. The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade). 1. The Main Trend Check (The Traffic Lights) The strategy uses three main filters that must agree before it considers a trade. A. The "Braid Filter" (Direction & Strength) This is the heart of the strategy, a custom combination of three different Moving Averages These averages have fast, medium, and slow settings (3, 7, and 14 periods). Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move). Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated. Neutral (Wait): If the averages are tangled or the separation isn't strong enough. Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green). B. The EMA Trend Bars (Secondary Confirmation) This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA. Green Bars: The price is above the 34 EMA (Bullish Trend). Red Bars: The price is below the 34 EMA (Bearish Trend). Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red. C. ADX/DI Filter (The Speed Limit Sign) This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger. Must-Have Conditions: The ADX value must be above 20 (meaning there is a trend, not just random movement). The ADX line must be rising (meaning the trend is accelerating/getting stronger). The strategy will only trade when the trend is strong and building momentum. 2. The Trading Action (Entry and Exit) When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately. Entry Strategy (The "Wait-for-Confirmation" Approach): When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price. It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade. A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it. Risk Management (Stop Loss and Take Profit): Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it. Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance). 3. Additional Controls Time Filter: You can choose to only allow trades during specific hours of the day. Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red). 🎯 Summary of the Strategy's Goal This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
Pine Script® strategy
by ChadAnt
1
The Butterfly Elephant EffectStrategy Overview: The Butterfly Elephant Effect Concept & Philosophy: Welcome to "The Butterfly Elephant Effect," a sophisticated multi-indicator strategy that operates on the principle that small, precise technical signals (the Butterfly) can trigger significant market moves (the Elephant Effect). This strategy is designed to identify high-probability reversal points by combining three powerful analytical systems into one cohesive framework. It seeks to catch major trend reversals at key support and resistance levels, using a confluence of volume, momentum, and overbought/oversold oscillators. Core Components: The strategy intelligently synthesizes three distinct systems: Lucky Balls System (Volume & Trend): Utilizes the Negative Volume Index (NVI) and Positive Volume Index (PVI) to understand smart money activity and trend strength. Plots these indices on the price chart, scaled to the recent price range for actionable signals. Generates signals when price interacts with a moving average envelope, identifying potential exhaustion points. Momentum Confirmation System: Combines RSI, CCI, and PPO momentum oscillators into a single, refined line. This "Momentum Composite" line is used to confirm the strength of a reversal signal as it crosses the dynamic envelope bands. Lucky Table System (Market Breadth & Confluence): This is the heart of the strategy's filtering mechanism. It runs 36 different oscillator readings across 6 different timeframes for Stochastic, Williams %R, RSI, and MACD. It counts the number of these oscillators that are in extreme overbought or oversold territory. A "Lucky Table" signal is generated when the number of matching oscillators exceeds your customizable threshold (e.g., 30 out of 36), indicating a massive, multi-timeframe consensus on market exhaustion. The Ultimate Signals: The strategy's most powerful entries are the specially named signals that require a perfect storm of conditions: 🐘 Elephant Long Signal: Triggers when the Momentum System gives a buy, the Lucky Table shows extreme oversold consensus, AND the price is at or below the adjusted lower envelope band. This represents a potential major bullish reversal from a support zone. 🦋 Butterfly Short Signal: Triggers when the Momentum System gives a sell, the Lucky Table shows extreme overbought consensus, AND the price is at or above the adjusted upper envelope band. This represents a potential major bearish reversal from a resistance zone. Key Features: Visual Clarity: A rich set of plotshapes (🪜, 🐍, 🐸, ✈️, ⚽) makes it easy to identify the contributing signals from each subsystem on the chart. Comprehensive Dashboard: A real-time table displays all 36 oscillator values from the Lucky Table, color-coded for quick assessment of market conditions. Flexible Risk Management: Includes optional Profit Target and Stop Loss based on a percentage of entry price. Highly Customizable: Every parameter—from lookback lengths and scale factors to the crucial match threshold—can be adjusted to fit your trading style and instrument. How to Use: Add the strategy to your chart. Look for the primary Elephant (🐘) or Butterfly (🦋) signals near the envelope boundaries. Use the Lucky Table on the top-right to confirm the strength of the oversold/overbought conditions. Manage your trade using the built-in PT/SL or your own discretion. Ideal For: Swing traders and position traders looking for high-conviction entries at potential market turning points. Disclaimer: This is a complex strategy designed for educational and research purposes. Always test and forward-test any strategy in a simulated environment before committing real capital. Past performance is not indicative of future results. PS Look out for the Frog :-)
Pine Script® strategy
by ScottoLotto
TitanEdge Algo Suite — 4H BTC & ETH (Delta Exchange Ready)TitanEdge Algo Suite — 4H BTC & ETH (Delta Exchange Ready) TitanEdge Algo Suite is a next-generation trading system that fuses volatility-adaptive logic, order-block structure, SuperTrend direction filtering, and ATR-based exits into a single modular framework. It’s engineered for 4-hour BTC and ETH swing trading, delivering institutional-grade entries, dynamic risk control, and precise exits. ⚙️ Core Features 1. Volatility Oscillator (0–100) • Filters trades by volatility intensity. • Uses ATR, Range, or Bollinger Band Width normalization. • Trades trigger only when market volatility is high — filtering out sideways or weak trends. • Ensures trades occur during real momentum expansions. 2. Breakout + Order Block Engine • Detects pivot highs/lows to confirm authentic breakout levels. • Identifies “smart money” gaps — institutional imbalance zones often leading to strong reversals or continuations. • Captures both breakout continuations and order-block reversals. • Works as a hybrid structure detector combining price action and volatility alignment. 3. SuperTrend Directional Filter • Optional filter that only allows trades in the direction of the SuperTrend. • Can automatically close trades when a SuperTrend flip occurs. • Provides strong trend-following bias and helps avoid countertrend traps. 4. ATR-Based Stop & Trailing System • Adaptive stop-loss and trailing logic that expands or tightens based on volatility. • Supports three modes: StopOnly, TrailOnly, and StopAndTrail. • Works in both ATR-based distance or percentage-based configuration. • Keeps losing trades small and lets winning trades extend dynamically. 5. Volume-Based Exit Logic • Detects low-volume exhaustion to identify momentum loss. • Detects opposite-volume spikes as early reversal signals. • Optional hybrid “Both” mode combines both detection methods for stronger reliability. • Ideal for markets where volume surges indicate smart money exits or trap formations. 6. Session Filter & Anti-Churn Control • Restrict trading hours (optional; not required for crypto). • Prevents repeated signals and noise-based entries through minimum bars between trades. • Cooldown logic ensures disciplined trading and avoids strategy overlap. • Prevents multiple entries in a single bar and filters unconfirmed breakouts. 7. SmartMoney Preset Mode • Institutional-grade configuration automatically adjusting volatility, ATR, and structural logic. • Mimics smart money behavior by prioritizing clean structure and high liquidity volatility zones. • Great for traders who want simplified institutional logic without manual tuning. Optimized for 4H BTC & ETH TitanEdge performs best on BTCUSDT and ETHUSDT pairs in the 4-hour timeframe. The 4H chart captures high-volatility institutional swings, eliminates intraday noise, and provides clear order-block setups. This timeframe aligns with BTC/ETH volatility cycles, providing consistent signals and cleaner trend confirmation. Recommended settings for 4H charts: • Levels Period: 25 • Volatility Filter: 20 • volatility oscillator Auto: disable ( it depend upon your plan test with Disable/enable) • Volatility Method: BBWidth • ATR Multiplier: 1.8 • ATR Stop %: 5 • SuperTrend ATR Length: 10 • SuperTrend Factor: 3 • ATR Mode: StopAndTrail • Hold Bars: 1 • Volume Exit: Disable (Both) • Session Filter: Off (Crypto runs 24/7) Entry Logic • Long Entry: Price breaks above resistance (pivot high), volatility above threshold, and optional SuperTrend confirmation. • Short Entry: Price breaks below support (pivot low), volatility above threshold, and optional bearish SuperTrend confirmation. • Additional Entry: Triggered by order-block gaps (smart money imbalances) in volatility expansion phases. • Trades only when both direction and volatility align to ensure precision entries. Exit Logic • ATR Stop and Trail dynamically manage open trades. • SuperTrend Flip forces exit on trend reversal. • Volume Exit triggers when volume momentum drops or opposite spike occurs. • Optional session close exit to flatten trades outside hours. • Logic prevents premature exits with “Hold Bars” delay after entry. Why You Need TitanEdge Algo Suite • Trades only during high-volatility, strong-momentum phases — no false breakouts or choppy trades. • ATR risk control automatically adjusts to each market’s volatility conditions. • Identifies institutional order-blocks and clean breakouts for precise entries. • SuperTrend filter adds directional bias, boosting win-rate consistency. • Volume exit logic ensures profits are protected when market momentum fades. • Works 24/7 across all major crypto pairs — fully automated and customizable. • Built for 4H swing trades — fewer but higher-quality setups. • Fully compatible with TradingView alerts and bot integration for hands-free execution. How TitanEdge Makes Profit • TitanEdge only trades during volatility expansion, when breakout continuation probability is statistically high. • ATR dynamic stops prevent large losses by scaling protection according to real volatility. • Trend filtering keeps positions aligned with major market flows. • Order-block detection ensures entries are based on price structure rather than random signals. • Volume-based exits secure profits early when momentum weakens. • SmartMoney Preset provides optimal balance between trade frequency, accuracy, and drawdown control. • The system compounds edge by maintaining trade discipline — fewer but stronger trades over time. Delta Exchange Integration (TradingView Bot Ready) TitanEdge is fully compatible with TradingView alert webhooks and can connect to Delta Exchange or any bot-supported broker. Alert JSON message format: {"symbol":"{{ticker}}","side":"{{strategy.order.action}}","qty":1,"trigger_time":"{{timenow}}","strategy_id":"code"} qty 1 represent 1 lot so if you want to take trade with 5 lots or 0.05eth and write {"symbol":"{{ticker}}","side":"{{strategy.order.action}}","qty":5,"trigger_time":"{{timenow}}","strategy_id":"code"} Steps to automate: Create an alert on TradingView using “Once Per Bar Close”. Paste your bot or automation webhook URL. Paste the JSON above as the message. Configure your bot or API bridge (like PineConnector, AutoView, or WunderTrading) to route signals to Delta Exchange. On Delta, use BTCUSD or ETHUSD Perpetual pairs with moderate leverage (3x–5x). Enable Cross Margin for smooth drawdown handling. Test first on Delta Testnet for safety. Why 4H BTC & ETH Works Best • 4H candles capture true volatility swings and filter lower-timeframe noise. • Aligns with institutional liquidity cycles in BTC and ETH. • ATR and volume-based stops perform optimally on larger bars. • Smoother equity curve and less drawdown compared to intraday trading. • Ideal for traders seeking structured, medium-term trades with high reward-to-risk. Unique Edge • Combines breakout, order-block, and volatility principles into one adaptive model. • Incorporates volatility normalization (ATR/BBWidth) for multi-market adaptability. • Dynamic ATR stops and trailing protect capital during unstable phases. • Volume and trend exits create layered protection systems. • 4H optimization eliminates noise and provides clear institutional alignment. • SmartMoney preset auto-configures settings to mimic large-player behavior. • Fully automated via webhooks — no manual execution required. • Modular design lets you customize each component for different trading styles. TradingView Bot Integration TitanEdge is fully plug-and-play with all TradingView-compatible bots. Each alert sends structured JSON data containing direction, symbol, and quantity, ready for execution on your connected broker. You can route the data to: • PineConnector (MT4/MT5 bridge) • WunderTrading • AutoView • Custom Node/REST API handler This makes TitanEdge a professional-grade strategy suitable for semi-automatic or fully automated crypto trading setups. Professional Recommendations • Timeframe: 4H • Instruments: BTCUSDT, ETHUSDT • Exchange: Delta Exchange (Perpetual Futures) • Leverage: 3x–5x • Session Filter: Off (crypto 24/7) • Risk per trade: 0.5%–1% of total equity • Alert Type: Once Per Bar Close • Volatility Filter: 25–35 depending on market activity • Always use realistic slippage and fees for backtests. Summary TitanEdge Algo Suite is a complete trading framework built to deliver institutional-quality precision with full automation support. It captures powerful volatility expansions on 4H BTC and ETH charts using clean structure, adaptive stops, and directional trend filters. Every feature — from entry logic to exits — is designed to protect capital and amplify performance through disciplined, volatility-aware execution. TitanEdge is not just another script — it’s a professional-grade algorithm that combines volatility intelligence, structural precision, and adaptive risk control. TitanEdge Algo Suite = Smart Logic × Trend Discipline × Adaptive Risk Control Optimized for BTC & ETH on 4H charts. Built for traders who demand precision, control, and consistency.
Pine Script® strategy
by shubham_singh_1927
1
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy Overview This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets. The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse). This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums). Key Indicators 1. Normalized Open Interest (nOI) Group: Open Interest Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends. Calculation: Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI"). Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100. Upper threshold (default: 70%): Signals potential short opportunities when crossed from above. Lower threshold (default: 30%): Signals potential long opportunities when crossed from below. Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%. Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available. 2. Funding Rate Group: Funding Rate Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias. Calculation: Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium"). Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data. Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x). Upper threshold (default: 1.0%): Overheat for shorts. Lower threshold (default: 1.0%): Overcool for longs. Ultra level (default: 1.8%): Extreme for additional short signals. Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise. Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra. Notes: Custom ticker option for non-standard symbols. 3. Cumulative Volume Delta (CVD) Group: CVD (Cumulative Volume Delta) Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price. Calculation: Delta: +volume if close > open, -volume if close < open. Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20). Normalized: Scaled by absolute max in window (-1 to 1 range). Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x). Upper threshold (default: 1.0%): Over for shorts. Lower threshold (default: 1.0%): Under for longs. Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252). Filter Options (for Signal A): Enable filter (default: false). Require sign match (Long ≥0, Short ≤0). Require extreme zones. Require momentum (rising/falling over N bars, default: 3). Signal Logics for Entries Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions. Signal System A: OI + Funding (with optional CVD filter) Enabled: Default true. Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK. Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK. Signal System B: Short - Funding Crossunder + Filters Enabled: Default true. Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper. Signal System C: Short - Ultra Funding Enabled: Default false. Sell (Short): Funding crosses ultra level (up or down, both default true). Signal System D: Long - Funding Crossover + Filters Enabled: Default true. Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower. Combined: Sell if A/B/C active; Buy if A/D active. Entry Filters Cooldown: Optional pause between entries (default: false, 3 bars). Max Entries: Limit pyramiding (default: true, 6 max). Entries only if both filters pass and direction allowed. Opposite Signal Handling Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only). Processed before regular entries. Position Management Martingale (3 Steps): Enabled per step (default: all true). Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each). Resets on position close. Break Even: Enabled (default: true). Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%). Exit Systems Multiple exits checked in sequence. Exit 1: SL/TP Enabled: Separate for long/short (default: true). SL: % from avg price (defaults: 1% long/short). TP: % from avg price (defaults: 2% long/short). Exit 2: Funding Enabled: Separate for long (up) / short (down) (default: true). Long Exit: Funding > upper exit threshold (default: 0.8%). Short Exit: Funding < lower exit threshold (default: 0.8%). Exit 3: nOI Enabled: Separate for long (up) / short (down) (default: true). Long Exit: nOI > upper exit (default: 85%). Short Exit: nOI < lower exit (default: 15%). Exit 4: Global SL Enabled: Default true. Exit: If position loss ≥ % (default: 7%). Exit 5: Break Even (integrated in position block) Exit 6: Time Limit Enabled: Separate for long/short (default: true). Exit: After N bars in trade (defaults: 30 each). Timer updates on add-ons if enabled (default: true). Visual Elements Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30. All indicators plotted on a separate pane (overlay=false). Usage Notes Backtesting: Adjust parameters based on asset/timeframe. Test on historical data. Data Requirements: Works best on crypto perps with OI and funding data. Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale. Customization: All thresholds, enables, and scales are inputs for fine-tuning. Version: Pine Script v6. For questions or improvements, contact the author. Happy trading!
Pine Script® strategy
by RezzoRedPriest
Volumemetrix Variance StrategyThe “Volumemetrix Variance Strategy” is an advanced Pine Script strategy designed to identify trade entries and exits using a combination of volume profile analysis, candle structure, and volatility filters. It constructs a dynamic volume profile over a specified lookback period to identify critical price levels such as the Point of Control (PoC), Value Area High (VAH), and Value Area Low (VAL). These levels represent zones of high trading activity that often act as support and resistance. The script smooths and adjusts these levels across different timeframes to align short-term market structure with higher-timeframe trends. It incorporates a variety of filters to exclude doji candles, detect continuation or rejection patterns, and confirm alignment with higher timeframe candle direction (e.g., 4-hour bullish or bearish bias). Trade logic is built around detecting crossovers and breakouts relative to the PoC and value areas. The system can trigger entries based on several configurable behaviors: breakout, retake, bounce, reversal, or rejection near key volume zones. It supports flexible entry conditions for long, short, or both sides of the market, as well as a range of customizable settings for time-based trading restrictions, end-of-day position closures, and alert-based data capture. For execution, the script includes integrated risk management—users can specify take-profit and stop-loss levels, enable moving (trailing) stops, and even apply a “power curve” model to dynamically adjust trailing stops using exponential decay logic that adapts to price progress. Overall, the Volumemetrix Variance Strategy is a hybrid between a quantitative volume-based strategy and a volatility-adaptive trade manager. It combines fixed range volume profiling with multi-timeframe confirmation, candle pattern validation, and adaptive exit logic. Its architecture allows for detailed trade automation, alert generation for external systems, and real-time control over parameters such as ATR scaling, entry delay, or bar confirmation. The result is a high-granularity framework for both backtesting and live execution that seeks to capture statistically favorable setups around liquidity concentration zones.
Pine Script® strategy
by gggoaaat
2
MA Break Trend Strategy - Multi Stop MethodsThis is a trend-following trading strategy with multiple stop loss options for both long and short positions. Entry Signal: Trades are triggered when price crosses above (long) or below (short) a configurable moving average (EMA or SMA, default 200-period) Volume Confirmation: Optional filter requiring volume to exceed a multiplier (default 1.5x) of the 20-period volume average before entering trades Five Stop Loss Methods: - ATR-based: Dynamic stop using Average True Range multiplier below/above entry price - MA Buffer: Stop set at a percentage offset from a separate moving average (default 50-period EMA) - Donchian Channel: Uses the lowest low/highest high over a specified lookback period - Keltner Channel: ATR-based bands around an EMA basis - Lowest Low/Highest High: Simple swing point stops based on recent price extremes - Trailing Stops: All stop methods automatically trail in the profitable direction (upward for longs, downward for shorts) to lock in gains while never moving against the position Visual Indicators: - Plots the trend-following moving average in blue - Shows active stop loss levels in red when in a position - Displays reference lines for all stop types when flat - Entry signals marked with triangles (green up for long, red down for short) - Background highlighting for volume-confirmed crossovers
Pine Script® strategy
by solidSnow32524
1