Hash Ratings Engine — Strategy by Hash_Capital

By Hash_Capital

Performance Metrics

Description

Hash Ratings Engine - Technical Consensus StrategyA systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management.What It DoesThis strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market.Key FeaturesTrend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades.ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions.Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts.Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out.Settings GuideIndicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals.Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion.Entry ThresholdsStrong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6.Risk ManagementATR Period: 12 is responsive, 14 is standard, 20+ is smoother.Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide.Trail Activation: How far price must move in profit before trailing begins.Trail Offset: How closely the trail follows price.Trend FilterEMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily.Trade TimingCooldown: Keep enabled. 5 bars is a good starting point.Best PracticesStart with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance.Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes.DisclaimerPast performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.Release NotesHash Ratings Engine — Technical Consensus StrategyPurposeThe Hash Ratings Engine provides a structured framework for evaluating technical market conditions by converting multiple indicator families into a single, regime-aware signal. It is designed to support systematic execution workflows, including automation through alerts, which is particularly relevant for crypto markets operating 24/7. The methodology helps operators align entries with prevailing trend strength, volatility conditions, and technical consensus rather than relying on any single indicator.Conceptual FrameworkThe strategy uses TradingView’s technical rating components to capture three complementary dimensions of market behavior:Oscillators – identify overextension and mean-reversion pressureMoving Averages – track directional bias and trend slopeA user-selected rating source (“Oscillators,” “MAs,” or “All”) determines the type of market behavior emphasized. This consolidates diverse signals into a unified directional read with adjustable conviction thresholds.Regime AlignmentTo avoid counter-trend exposure, the framework incorporates a structural trend filter using an EMA:Longs are permitted only when price is above the trend EMAShorts are permitted only when price is below the trend EMAThis reduces noise and emphasizes trades that align with the dominant regime. Trend length is operator-selectable, allowing the system to adapt to different timeframes and asset classes.Volatility-Adjusted Risk ManagementRisk parameters are based on ATR to ensure consistency across varying volatility environments:Initial Stop Loss – ATR-scaled distance from entryTrailing Logic – activates once price has moved a defined ATR multiple in favor, then follows with a configurable offsetThis keeps losses proportional to changing volatility and allows winners to extend in trending conditions.Trade Timing & Cooldown SystemA cooldown mechanism delays new entries for a defined number of bars following a stop-loss exit. This prevents rapid re-entry during unstable conditions and helps mitigate consecutive loss clusters. Optional session filters allow operators to restrict execution to specific trading hours—useful for equities, while crypto users may leave this disabled.Entry Logic (High-Level)A position is opened only when:The selected technical rating exceeds the user-defined bullish or bearish thresholdThe trend filter aligns with the directionThe time/session filter allows tradingThe cooldown period is inactiveThis ensures trades occur only during aligned technical, structural, and volatility conditions.Visual ElementsTo maintain clarity, all chart elements represent specific components of the framework:Trend EMA – defines regime directionEntry markers (green/red circles) – identify bar-level execution pointsExit markers (cyan crosses) – show where the position was closedEntry and exit reference levels – horizontal markers displaying price levels during the tradeThese visuals provide execution context without affecting strategy logic.Default Strategy Properties (Transparency)Initial Capital: 100,000 unitsOrder Size: 5% of equity per trade (kept within TradingView’s recommended risk limits)Commission: 0.10% per orderNo slippage is applied by default; users should add slippage appropriate to their venue or asset class through strategy settingsDefaults are selected to produce realistic backtests without overstating performance.Intended UseThe strategy is adaptable across liquid markets, including crypto, FX, indices, and equities.Higher timeframes (4H and above) tend to provide more stable consensus signals and larger sample sizes.Operators using alerts for automation can integrate the signals into execution workflows, provided they follow appropriate risk controls.LimitationsThe strategy does not guarantee profitability and should not be used without independent testing.Results depend on asset behavior, timeframe, liquidity, and operator configuration.Backtests may vary based on broker settings, slippage assumptions, and historical data quality.For educational discussion only. Not financial advice.

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