Helios Institutional Synthesis Strategy [JOAT] by officialjackofalltrades
By officialjackofalltrades
Performance Metrics
- Author: officialjackofalltrades
- Symbol: INDEX:BTCUSD
- Timeframe: 30 minutes
- Net P&L: +21,084.50 USD (+21.08%)
- Win Rate: 40.3%
- Profit Factor: 1.381
- Max Drawdown: 7,091.23 USD (5.78%)
- Total Trades: 238
Description
Helios Institutional Synthesis Strategy [JOAT]IntroductionHelios Institutional Synthesis Strategy is an open-source Pine v6 strategy that integrates regime detection, trend bias, VWAP location, premium/discount context, liquidity sweeps, volatility gating, structured ATR stops, target levels, trailing exits, time exits, and visual trade-zone boxes.The strategy is designed as a realistic testing framework, not a performance promise. It uses confirmed-bar triggers, process-on-close order handling, commission, slippage, risk sizing, and daily risk guard logic. The default settings were made active enough to generate more samples across timeframes while still keeping basic risk controls in place.Core Concepts1. Regime and Trend BiasAn adaptive baseline, EMA momentum, DMI/ADX, and volatility score determine whether the market is bullish, bearish, or ranging. Long setups require bullish context, and short setups require bearish context unless other confluence factors compensate.2. VWAP and Premium/Discount ContextThe strategy compares price to session VWAP and to a rolling premium/discount range. This helps distinguish continuation entries from recovery or rejection setups.3. Liquidity and Retest TriggersConfirmed sweeps, daily level reclaims/rejections, VWAP bounces, baseline crosses, and channel reclaim/rejection logic can contribute to entries. This creates more than one path into a trade while still requiring a confluence score.4. Volatility and Risk GatesThe strategy filters by volatility score, ATR percent of price, daily equity guard, and minimum planned R. These controls are included to avoid unbounded entries in abnormal conditions.5. Structured ExitsStops use ATR and recent key levels. Targets use ATR multiples. A trailing stop can tighten the exit as price moves, and a max-hold rule can close trades that remain open too long.Default Strategy PropertiesInitial capital: 100000Commission: 0.01 percentSlippage: 1 tickPyramiding: 0Orders processed on close: truecalc_on_every_tick: falseDefault risk per trade: 1.0 percentDefault minimum confluence score: 4 out of 8Default cooldown: 4 barsDefault ATR stop multiple: 1.8Default ATR target multiple: 2.8Default trailing ATR multiple: 1.35Default daily equity guard: 3 percentFeatures8-point confluence model: Combines regime, VWAP, premium/discount, momentum, volatility, sweeps, squeeze release, and HTF biasConfirmed-bar entries: Long and short triggers use barstate.isconfirmedHTF confirmation: Uses request.security() with lookahead off and previous higher-timeframe valuesRisk-based sizing: Calculates quantity from equity, stop distance, and risk percentageATR stop and target: Structured stop/target logic with optional trailing behaviorDaily guard: Blocks new trades after a configured intraday equity drawdown thresholdMax-hold exit: Closes positions that exceed the configured bar countTrade-zone boxes: Shows reward/risk boxes on the chartRight-side risk rails: Labels active entry, stop, target, and R:RDashboard: Shows regime, position, confluence, risk gate, setup, volatility, VWAP sigma, liquidity, HTF bias, PD state, session, day guard, hold bars, stops, and key levelsInput ParametersCore Engine:Adaptive Baseline LengthEfficiency LookbackATR LengthADX / DMI LengthInstitutional Anchor LengthConfirmation TimeframeFilters:Enable Longs and Enable ShortsRestrict to SessionMin Confluence ScoreCooldown BarsVolatility score boundsRisk Controls:Risk percent per tradeATR stop, target, and trailing multiplesMinimum planned R multipleMax ATR percent of priceDaily equity guard percentMax hold barsHow to Use This StrategyStep 1: Start with a private draftBefore publishing results, test the strategy privately and verify the chart, settings, and description.Step 2: Use realistic costsThe script defaults to 0.01 percent commission and 1 tick slippage. Adjust them to match the market being tested.Step 3: Check sample sizeUse enough historical data to evaluate whether the strategy has a meaningful number of trades. Avoid drawing conclusions from a small sample.Step 4: Review the dashboardThe dashboard shows whether a blocked trade is caused by risk, volatility, session, confluence, or daily guard logic.Strategy LimitationsBacktests are hypothetical and do not ensure future resultsPerformance can vary significantly by symbol, session, timeframe, and cost settingsThe strategy may trade frequently on lower timeframes; costs and slippage matterHTF confirmation uses non-lookahead requests, but higher-timeframe context can still evolve while a higher-timeframe bar is unfinishedRisk controls reduce some bad conditions but cannot remove market riskOriginality StatementHelios Institutional Synthesis Strategy combines adaptive regime detection, VWAP sigma location, premium/discount context, liquidity sweep triggers, squeeze state, higher-timeframe confirmation, risk-based sizing, ATR exits, daily guard logic, time exits, and visual trade-zone mapping in one open-source Pine v6 strategy. Its purpose is to test a multi-factor decision process with transparent components rather than present a black-box signal system.DisclaimerThis strategy is for educational and informational use only. It is not financial advice, and backtested results do not ensure future performance. Trading involves substantial risk of loss. Always test with realistic commissions, slippage, and position sizing before making any decision.-Made with passion by jackofalltrades