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(agreementWeight / totalWeight) * 100 : 0;\n\n // Determine stars\n let stars = 1;\n if (score >= 90) stars = 5;\n else if (score >= 75) stars = 4;\n else if (score >= 60) stars = 3;\n else if (score >= 40) stars = 2;\n\n // Build confirmation lists\n const confirmed_by = [primaryBattalion.battalion_id, ...confirmations.map(c => c.battalion.battalion_id)];\n const confirmation_details = [\n ...primarySignal.details,\n ...confirmations.map(c => c.details),\n ];\n\n // Cross-theater bonus: if signals from multiple theaters agree, boost score\n const theaters = new Set([primaryBattalion.theater, ...confirmations.map(c => c.battalion.theater)]);\n if (theaters.size >= 3) {\n // Multi-theater confirmation adds bonus\n const boostedScore = Math.min(100, score + 5);\n return {\n score: boostedScore,\n stars: boostedScore >= 90 ? 5 : boostedScore >= 75 ? 4 : boostedScore >= 60 ? 3 : boostedScore >= 40 ? 2 : 1,\n confirmed_by,\n confirmation_details: [...confirmation_details, `Cross-theater 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============================================================\n// OPERATION GOLD MASTER — Core Type Definitions\n// ============================================================\n\nexport interface Candle {\n timestamp: string;\n open: number;\n high: number;\n low: number;\n close: number;\n volume: number;\n}\n\nexport type Direction = \"LONG\" | \"SHORT\";\nexport type TheaterName = \"Technical\" | \"Fundamental\" | \"Sentiment\" | \"Timing\";\nexport type SignalStatus = \"ACTIVE\" | \"CLOSED\" | \"PENDING\" | \"EXPIRED\";\nexport type BattalionStatus = \"ACTIVE\" | \"STAND_DOWN\" | \"DISABLED\";\n\nexport interface BattalionConfig {\n battalion_id: string;\n name: string;\n commander: string;\n theater: TheaterName;\n division: string;\n timeframes: string[];\n priority: number;\n weight: number;\n risk_profile: \"conservative\" | \"moderate\" | \"aggressive\";\n max_concurrent: number;\n cooldown_hours: number;\n enabled: boolean;\n parameters: Record;\n entry_rules: string[];\n exit_rules: string[];\n}\n\nexport interface Signal {\n signal_id: string;\n battalion_id: string;\n battalion_name: string;\n theater: TheaterName;\n division: string;\n direction: Direction;\n entry_price: number;\n stop_loss: number;\n target_1: number;\n target_2: number | null;\n target_3: number | null;\n timeframe: string;\n confluence_score: number;\n confluence_stars: number;\n confidence: number;\n risk_reward: number;\n status: SignalStatus;\n triggered_by: string;\n confirmed_by: string[];\n confirmation_details: string[];\n timestamp: string;\n chart_svg: string | null;\n pnl: number | null;\n exit_price: number | null;\n exit_time: string | null;\n exit_reason: string | null;\n}\n\nexport interface TheaterStatus {\n theater: TheaterName;\n signals_today: number;\n win_rate: number;\n pnl_today: number;\n active_battalions: number;\n status: string;\n top_performer: string;\n}\n\nexport interface RiskMetrics {\n total_exposure: number;\n daily_drawdown: number;\n monthly_drawdown: number;\n current_risk_percent: number;\n max_position_size: number;\n var_95: number;\n expected_shortfall: number;\n daily_loss_limit: number;\n monthly_loss_limit: number;\n}\n\nexport interface MarketRegime {\n regime: string;\n confidence: number;\n indicators: Record;\n volatility_state: \"LOW\" | \"MEDIUM\" | \"HIGH\";\n trend_strength: number;\n recommendation: string;\n timestamp: string;\n}\n\nexport interface DashboardSummary {\n total_signals_24h: number;\n active_signals: number;\n total_pnl_today: number;\n win_rate_24h: number;\n confluence_5_star: number;\n confluence_4_star: number;\n active_battalions: number;\n total_battalions: number;\n system_status: string;\n last_update: string;\n gold_price: number;\n gold_change: number;\n}\n\nexport interface BattalionPerformance {\n battalion_id: string;\n name: string;\n theater: TheaterName;\n division: string;\n status: BattalionStatus;\n signals_today: number;\n total_signals: number;\n win_rate: number;\n pnl_today: number;\n total_pnl: number;\n weight: number;\n last_signal: string | null;\n}\n\nexport interface PositionSize {\n base_size: number;\n confluence_multiplier: number;\n volatility_multiplier: number;\n regime_multiplier: number;\n final_size: number;\n risk_amount: number;\n}\n\nexport interface IndicatorSnapshot {\n sma50: number;\n sma200: number;\n ema20: number;\n ema50: number;\n rsi: number;\n adx: number;\n plusDI: number;\n minusDI: number;\n atr: number;\n macd: number;\n macdSignal: number;\n macdHistogram: number;\n bbUpper: number;\n bbMiddle: number;\n bbLower: number;\n stochK: number;\n stochD: number;\n obv: number;\n}\n","children",[],[138,167],"d451a717-460a-4aa0-8944-e5ced53e69cf","risk.ts","a160e700-8539-11f1-8fdd-1607ee4eb77e",6,["D",1784661799209],"// ============================================================\n// OPERATION GOLD MASTER — Risk Command\n// General Risk's authority: position sizing, veto powers, exposure tracking\n// ============================================================\n\nimport { PositionSize, RiskMetrics, MarketRegime } from \"./types.ts\";\nimport { ConfluenceResult } from \"./confluence.ts\";\nimport { getActiveSignals, getSignals24h } from \"./db.ts\";\n\nconst ACCOUNT_BALANCE = 10000; // $10,000 starting balance\nconst RISK_PER_TRADE = 0.02; // 2% risk per trade\nconst DAILY_LOSS_LIMIT = 0.03; // 3% daily loss limit\nconst MONTHLY_LOSS_LIMIT = 0.05; // 5% monthly loss limit\n\n/**\n * Dynamic Position Sizing\n * Base Size = (Account Balance × Risk%) / (Stop Distance × Pip Value)\n * Adjustments: Confluence × Volatility × Regime\n */\nexport function calculatePositionSize(\n entryPrice: number,\n stopPrice: number,\n confluence: ConfluenceResult,\n atr: number,\n atrAvg: number,\n regime: MarketRegime | null,\n): PositionSize {\n const stopDistance = Math.abs(entryPrice - stopPrice);\n const baseSize = (ACCOUNT_BALANCE * RISK_PER_TRADE) / stopDistance;\n\n // Confluence adjustment\n let confluenceMult = 0.5;\n if (confluence.stars === 5) confluenceMult = 1.25;\n else if (confluence.stars === 4) confluenceMult = 1.0;\n else if (confluence.stars === 3) confluenceMult = 0.75;\n else if (confluence.stars === 2) confluenceMult = 0.5;\n\n // Volatility adjustment\n let volMult = 1.0;\n if (atrAvg > 0) {\n const atrRatio = atr / atrAvg;\n if (atrRatio > 1.5) volMult = 0.5; // High volatility — reduce\n else if (atrRatio < 0.5) volMult = 1.5; // Low volatility — increase\n }\n\n // Regime adjustment\n let regimeMult = 1.0;\n if (regime) {\n switch (regime.regime) {\n case \"HIGH_INFLATION\": regimeMult = 1.2; break;\n case \"RECESSION\": regimeMult = 1.1; break;\n case \"RATE_HIKING\": regimeMult = 0.7; break;\n case \"QT\": regimeMult = 0.6; break;\n case \"TRENDING_UP\": regimeMult = 1.05; break;\n case \"TRENDING_DOWN\": regimeMult = 1.05; break;\n case \"VOLATILE\": regimeMult = 0.5; break;\n case \"RANGING\": regimeMult = 0.8; break;\n }\n }\n\n const finalSize = baseSize * confluenceMult * volMult * regimeMult;\n const riskAmount = finalSize * stopDistance;\n\n return {\n base_size: baseSize,\n confluence_multiplier: confluenceMult,\n volatility_multiplier: volMult,\n regime_multiplier: regimeMult,\n final_size: Math.max(0, finalSize),\n risk_amount: riskAmount,\n };\n}\n\nexport interface VetoResult {\n vetoed: boolean;\n reason: string | null;\n level: \"BATTALION\" | \"DIVISION\" | \"THEATER\" | \"SUPREME\" | null;\n adjustedSize?: number;\n}\n\n/**\n * General Risk's Veto Engine\n * Checks all 4 levels of veto authority\n */\nexport async function checkRiskVeto(\n battalionId: string,\n theater: string,\n direction: string,\n positionSize: PositionSize,\n confluence: ConfluenceResult,\n): Promise {\n // Level 1: Battalion level\n const riskPercent = (positionSize.risk_amount / ACCOUNT_BALANCE) * 100;\n if (riskPercent > 2) {\n return {\n vetoed: true,\n reason: `Trade risk ${riskPercent.toFixed(2)}% exceeds 2% limit — reducing to 2%`,\n level: \"BATTALION\",\n adjustedSize: positionSize.final_size * (2 / riskPercent),\n };\n }\n\n // Level 2: Division level — check consecutive losses\n const signals24h = await getSignals24h();\n const divisionSignals = signals24h.filter((s: any) =>\n s.battalion_id.startsWith(battalionId.split(\"-\")[0])\n );\n const recentLosses = divisionSignals.filter((s: any) => s.pnl !== null && s.pnl < 0).slice(0, 3);\n if (recentLosses.length >= 3) {\n return {\n vetoed: true,\n reason: `3 consecutive losses in division — stand down for 24h`,\n level: \"DIVISION\",\n };\n }\n\n // Level 3: Theater drawdown check\n const theaterLosses = signals24h.filter((s: any) =>\n s.theater === theater && s.pnl !== null && s.pnl < 0\n );\n const theaterDrawdown = theaterLosses.reduce((sum: number, s: any) => sum + Math.abs(s.pnl), 0);\n if (theaterDrawdown > ACCOUNT_BALANCE * 0.05) {\n return {\n vetoed: true,\n reason: `Theater ${theater} drawdown > 5% — reduce all positions 50%`,\n level: \"THEATER\",\n adjustedSize: positionSize.final_size * 0.5,\n };\n }\n\n // Level 4: Supreme level — total account drawdown\n const allLosses = signals24h.filter((s: any) => s.pnl !== null && s.pnl < 0);\n const totalDrawdown = allLosses.reduce((sum: number, s: any) => sum + Math.abs(s.pnl), 0);\n const drawdownPercent = (totalDrawdown / ACCOUNT_BALANCE) * 100;\n\n if (drawdownPercent > 10) {\n return {\n vetoed: true,\n reason: `EMERGENCY: Total drawdown ${drawdownPercent.toFixed(1)}% > 10% — Supreme Commander lockdown`,\n level: \"SUPREME\",\n };\n }\n\n if (drawdownPercent > 5) {\n return {\n vetoed: true,\n reason: `Total drawdown ${drawdownPercent.toFixed(1)}% > 5% — lockdown mode, close 80%`,\n level: \"SUPREME\",\n adjustedSize: positionSize.final_size * 0.2,\n };\n }\n\n return { vetoed: false, reason: null, level: null };\n}\n\n/**\n * Get current risk metrics for dashboard\n */\nexport async function getRiskMetrics(): Promise {\n const activeSignals = await getActiveSignals();\n const signals24h = await getSignals24h();\n\n const totalExposure = activeSignals.reduce((sum: number, s: any) => {\n const risk = Math.abs(s.entry_price - s.stop_loss);\n return sum + risk;\n }, 0);\n\n const todayStart = new Date(new Date().setUTCHours(0, 0, 0, 0)).toISOString();\n const todayLosses = signals24h.filter((s: any) =>\n s.pnl !== null && s.pnl < 0 && s.exit_time >= todayStart\n );\n const dailyDrawdown = todayLosses.reduce((sum: number, s: any) => sum + Math.abs(s.pnl), 0);\n\n const monthStart = new Date(new Date().getFullYear(), new Date().getMonth(), 1).toISOString();\n const monthLosses = signals24h.filter((s: any) =>\n s.pnl !== null && s.pnl < 0 && s.exit_time >= monthStart\n );\n const monthlyDrawdown = monthLosses.reduce((sum: number, s: any) => sum + Math.abs(s.pnl), 0);\n\n // VaR 95% — simplified using daily P&L distribution\n const dailyPnls = signals24h.filter((s: any) => s.pnl !== null).map((s: any) => s.pnl);\n let var95 = 0;\n if (dailyPnls.length > 5) {\n const sorted = [...dailyPnls].sort((a, b) => a - b);\n const idx = Math.floor(sorted.length * 0.05);\n var95 = sorted[idx] || 0;\n }\n\n return {\n total_exposure: totalExposure,\n daily_drawdown: -dailyDrawdown,\n monthly_drawdown: -monthlyDrawdown,\n current_risk_percent: (totalExposure / ACCOUNT_BALANCE) * 100,\n max_position_size: ACCOUNT_BALANCE * 0.02,\n var_95: var95,\n expected_shortfall: var95 * 1.2,\n daily_loss_limit: ACCOUNT_BALANCE * DAILY_LOSS_LIMIT,\n monthly_loss_limit: ACCOUNT_BALANCE * MONTHLY_LOSS_LIMIT,\n };\n}\n",[],[138,176],"e4ebbcdf-8828-4b94-bde1-c3cd4a904790","regime.ts","a167a518-8539-11f1-9d98-1607ee4eb77e",7,["D",1784661799210],"// ============================================================\n// OPERATION GOLD MASTER — Regime Detector\n// General Regime (Command 13) — Market regime classification\n// ============================================================\n\nimport { Candle, MarketRegime } from \"./types.ts\";\nimport { ADX, ATR, BollingerBands, RSI, SMA, EMA, lastVal } from \"./indicators.ts\";\n\n/**\n * Detect current market regime from real price data.\n * Uses ADX for trend strength, Bollinger Band width for volatility,\n * and SMA alignment for trend direction.\n */\nexport function detectRegime(candles: Candle[]): MarketRegime {\n if (candles.length < 50) {\n return {\n regime: \"UNKNOWN\",\n confidence: 0,\n indicators: {},\n volatility_state: \"LOW\",\n trend_strength: 0,\n recommendation: \"NEUTRAL\",\n timestamp: new Date().toISOString(),\n };\n }\n\n const closes = candles.map(c => c.close);\n const price = closes[closes.length - 1];\n\n // Compute indicators\n const sma50 = SMA(closes, 50), sma200 = SMA(closes, 200);\n const ema20 = EMA(closes, 20), ema50 = EMA(closes, 50);\n const { adx, plusDI, minusDI } = ADX(candles, 14);\n const atr = ATR(candles, 14);\n const { upper, middle, lower } = BollingerBands(closes, 20, 2);\n const rsi = RSI(closes, 14);\n\n const adxVal = lastVal(adx);\n const atrVal = lastVal(atr);\n const sma50Val = lastVal(sma50);\n const sma200Val = lastVal(sma200);\n const ema20Val = lastVal(ema20);\n const ema50Val = lastVal(ema50);\n const rsiVal = lastVal(rsi);\n const bbUpper = lastVal(upper), bbLower = lastVal(lower), bbMiddle = lastVal(middle);\n\n // Volatility state from ATR relative to price\n const atrPercent = (atrVal / price) * 100;\n let volState: \"LOW\" | \"MEDIUM\" | \"HIGH\" = \"LOW\";\n if (atrPercent > 1.5) volState = \"HIGH\";\n else if (atrPercent > 0.8) volState = \"MEDIUM\";\n\n // Bollinger Band width as volatility confirmation\n const bbWidth = (bbUpper - bbLower) / bbMiddle;\n\n // Trend strength (0-1)\n const trendStrength = Math.min(1, adxVal / 50);\n\n // Determine regime\n let regime = \"RANGING\";\n let confidence = 0.5;\n let recommendation = \"NEUTRAL\";\n\n const isAboveSMA50 = price > sma50Val;\n const isAboveSMA200 = !isNaN(sma200Val) && price > sma200Val;\n const sma50Above200 = !isNaN(sma200Val) && sma50Val > sma200Val;\n const plusDIDominant = lastVal(plusDI) > lastVal(minusDI);\n\n if (adxVal > 25) {\n // Trending\n if (isAboveSMA50 && isAboveSMA200 && sma50Above200 && plusDIDominant) {\n regime = \"TRENDING_UP\";\n confidence = 0.6 + (adxVal - 25) / 100;\n recommendation = \"BULLISH_BIAS\";\n } else if (!isAboveSMA50 && !isAboveSMA200 && !sma50Above200 && !plusDIDominant) {\n regime = \"TRENDING_DOWN\";\n confidence = 0.6 + (adxVal - 25) / 100;\n recommendation = \"BEARISH_BIAS\";\n } else {\n regime = \"TRANSITIONAL\";\n confidence = 0.55;\n recommendation = \"CAUTIOUS\";\n }\n } else if (adxVal < 18) {\n // Ranging\n regime = \"RANGING\";\n confidence = 0.5 + (18 - adxVal) / 50;\n recommendation = \"MEAN_REVERSION\";\n } else {\n // Transitional\n regime = \"TRANSITIONAL\";\n confidence = 0.45;\n recommendation = \"WAIT_FOR_CONFIRMATION\";\n }\n\n // Override for high volatility\n if (volState === \"HIGH\" && atrPercent > 2) {\n regime = \"VOLATILE\";\n confidence = 0.7;\n recommendation = \"REDUCE_SIZE\";\n }\n\n // Check for breakout regime\n const bbSqueeze = bbWidth < 0.02;\n if (bbSqueeze && adxVal > 20) {\n regime = \"BREAKOUT\";\n confidence = 0.65;\n recommendation = \"BREAKOUT_IMMINENT\";\n }\n\n return {\n regime,\n confidence: Math.min(0.95, confidence),\n indicators: {\n \"MA_50_vs_200\": sma50Above200 ? \"Above\" : \"Below\",\n \"ADX\": parseFloat(adxVal.toFixed(1)),\n \"RSI\": parseFloat(rsiVal.toFixed(1)),\n \"ATR_%\": parseFloat(atrPercent.toFixed(2)),\n \"BB_Width\": parseFloat(bbWidth.toFixed(4)),\n \"+DI\": parseFloat(lastVal(plusDI).toFixed(1)),\n \"-DI\": parseFloat(lastVal(minusDI).toFixed(1)),\n \"Price_vs_SMA50\": isAboveSMA50 ? \"Above\" : \"Below\",\n \"Price_vs_SMA200\": isAboveSMA200 ? \"Above\" : \"Below\",\n },\n volatility_state: volState,\n trend_strength: parseFloat(trendStrength.toFixed(2)),\n recommendation,\n timestamp: new Date().toISOString(),\n };\n}\n",[],[138,184],"bf030e93-3ae5-467f-9b66-dd966a281dcc","indicators.ts","195db108-8539-11f1-b90a-1607ee4eb77e",["D",1784661571011],"// ============================================================\n// OPERATION GOLD MASTER — Technical Indicator Engine\n// Real mathematical indicator calculations (no simulation)\n// ============================================================\n\nimport { Candle } from \"./types.ts\";\n\n/** Simple Moving Average */\nexport function SMA(values: number[], period: number): number[] {\n const result: number[] = [];\n for (let i = 0; i < values.length; i++) {\n if (i < period - 1) { result.push(NaN); continue; }\n let sum = 0;\n for (let j = 0; j < period; j++) sum += values[i - j];\n result.push(sum / period);\n }\n return result;\n}\n\n/** Exponential Moving Average */\nexport function EMA(values: number[], period: number): number[] {\n const result: number[] = [];\n const k = 2 / (period + 1);\n let ema = values[0] ?? 0;\n for (let i = 0; i < values.length; i++) {\n ema = i === 0 ? values[0] : values[i] * k + ema * (1 - k);\n result.push(ema);\n }\n return result;\n}\n\n/** Relative Strength Index */\nexport function RSI(values: number[], period = 14): number[] {\n const result: number[] = [];\n let avgGain = 0, avgLoss = 0;\n for (let i = 0; i < values.length; i++) {\n if (i === 0) { result.push(50); continue; }\n const ch = values[i] - values[i - 1];\n const gain = ch > 0 ? ch : 0;\n const loss = ch < 0 ? -ch : 0;\n if (i <= period) {\n avgGain += gain; avgLoss += loss;\n if (i === period) {\n avgGain /= period; avgLoss /= period;\n result.push(avgLoss === 0 ? 100 : 100 - 100 / (1 + avgGain / avgLoss));\n } else result.push(50);\n } else {\n avgGain = (avgGain * (period - 1) + gain) / period;\n avgLoss = (avgLoss * (period - 1) + loss) / period;\n result.push(avgLoss === 0 ? 100 : 100 - 100 / (1 + avgGain / avgLoss));\n }\n }\n return result;\n}\n\n/** Average True Range */\nexport function ATR(candles: Candle[], period = 14): number[] {\n const result: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i === 0) { result.push(candles[0].high - candles[0].low); continue; }\n const tr = Math.max(\n candles[i].high - candles[i].low,\n Math.abs(candles[i].high - candles[i - 1].close),\n Math.abs(candles[i].low - candles[i - 1].close),\n );\n if (i < period) {\n const avg = result.slice(0, i + 1).reduce((a, b) => a + b, 0) / (i + 1);\n result.push(avg);\n } else result.push((result[i - 1] * (period - 1) + tr) / period);\n }\n return result;\n}\n\n/** Average Directional Index (Wilder's method) */\nexport function ADX(candles: Candle[], period = 14): { adx: number[]; plusDI: number[]; minusDI: number[] } {\n const plusDM: number[] = [], minusDM: number[] = [], tr: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i === 0) { plusDM.push(0); minusDM.push(0); tr.push(candles[0].high - candles[0].low); continue; }\n const up = candles[i].high - candles[i - 1].high;\n const down = candles[i - 1].low - candles[i].low;\n plusDM.push(up > down && up > 0 ? up : 0);\n minusDM.push(down > up && down > 0 ? down : 0);\n tr.push(Math.max(candles[i].high - candles[i].low, Math.abs(candles[i].high - candles[i - 1].close), Math.abs(candles[i].low - candles[i - 1].close)));\n }\n const sTR: number[] = [], sPDM: number[] = [], sMDM: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i < period) { sTR.push(tr[i]); sPDM.push(plusDM[i]); sMDM.push(minusDM[i]); }\n else if (i === period) {\n sTR.push(tr.slice(0, period).reduce((a, b) => a + b, 0));\n sPDM.push(plusDM.slice(0, period).reduce((a, b) => a + b, 0));\n sMDM.push(minusDM.slice(0, period).reduce((a, b) => a + b, 0));\n } else {\n sTR.push(sTR[i - 1] - sTR[i - 1] / period + tr[i]);\n sPDM.push(sPDM[i - 1] - sPDM[i - 1] / period + plusDM[i]);\n sMDM.push(sMDM[i - 1] - sMDM[i - 1] / period + minusDM[i]);\n }\n }\n const plusDI: number[] = [], minusDI: number[] = [], dx: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (sTR[i] === 0) { plusDI.push(0); minusDI.push(0); dx.push(0); continue; }\n const pdi = (sPDM[i] / sTR[i]) * 100, mdi = (sMDM[i] / sTR[i]) * 100;\n plusDI.push(pdi); minusDI.push(mdi);\n const s = pdi + mdi;\n dx.push(s === 0 ? 0 : (Math.abs(pdi - mdi) / s) * 100);\n }\n const adx: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i < 2 * period) adx.push(dx.slice(0, i + 1).reduce((a, b) => a + b, 0) / (i + 1));\n else adx.push((adx[i - 1] * (period - 1) + dx[i]) / period);\n }\n return { adx, plusDI, minusDI };\n}\n\n/** MACD */\nexport function MACD(values: number[], fast = 12, slow = 26, signal = 9) {\n const fastEMA = EMA(values, fast), slowEMA = EMA(values, slow);\n const macd = values.map((_, i) => fastEMA[i] - slowEMA[i]);\n const sig = EMA(macd, signal);\n return { macd, signal: sig, histogram: macd.map((m, i) => m - sig[i]) };\n}\n\n/** Bollinger Bands */\nexport function BollingerBands(values: number[], period = 20, stdDev = 2) {\n const middle = SMA(values, period);\n const upper: number[] = [], lower: number[] = [];\n for (let i = 0; i < values.length; i++) {\n if (i < period - 1) { upper.push(NaN); lower.push(NaN); continue; }\n let sum = 0;\n for (let j = 0; j < period; j++) sum += (values[i - j] - middle[i]) ** 2;\n const sd = Math.sqrt(sum / period);\n upper.push(middle[i] + stdDev * sd);\n lower.push(middle[i] - stdDev * sd);\n }\n return { upper, middle, lower };\n}\n\n/** Stochastic Oscillator */\nexport function Stochastic(candles: Candle[], kPeriod = 14, dPeriod = 3) {\n const k: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i < kPeriod - 1) { k.push(50); continue; }\n let hh = -Infinity, ll = Infinity;\n for (let j = 0; j < kPeriod; j++) { hh = Math.max(hh, candles[i - j].high); ll = Math.min(ll, candles[i - j].low); }\n k.push(hh === ll ? 50 : ((candles[i].close - ll) / (hh - ll)) * 100);\n }\n return { k, d: SMA(k, dPeriod) };\n}\n\n/** On Balance Volume */\nexport function OBV(candles: Candle[]): number[] {\n const r = [0];\n for (let i = 1; i < candles.length; i++) {\n if (candles[i].close > candles[i - 1].close) r.push(r[i - 1] + candles[i].volume);\n else if (candles[i].close < candles[i - 1].close) r.push(r[i - 1] - candles[i].volume);\n else r.push(r[i - 1]);\n }\n return r;\n}\n\n/** Hull Moving Average */\nexport function HMA(values: number[], period: number): number[] {\n const half = Math.floor(period / 2);\n const wma1 = WMA(values, half), wma2 = WMA(values, period);\n const diff = values.map((_, i) => 2 * wma1[i] - wma2[i]);\n return WMA(diff, Math.floor(Math.sqrt(period)));\n}\n\n/** Weighted Moving Average */\nexport function WMA(values: number[], period: number): number[] {\n const result: number[] = [];\n const denom = (period * (period + 1)) / 2;\n for (let i = 0; i < values.length; i++) {\n if (i < period - 1) { result.push(NaN); continue; }\n let sum = 0;\n for (let j = 0; j < period; j++) sum += values[i - j] * (period - j);\n result.push(sum / denom);\n }\n return result;\n}\n\n/** Commodity Channel Index */\nexport function CCI(candles: Candle[], period = 20): number[] {\n const tp = candles.map(c => (c.high + c.low + c.close) / 3);\n const sma = SMA(tp, period);\n const result: number[] = [];\n for (let i = 0; i < candles.length; i++) {\n if (i < period - 1) { result.push(0); continue; }\n let meanDev = 0;\n for (let j = 0; j < period; j++) meanDev += Math.abs(tp[i - j] - sma[i]);\n meanDev /= period;\n result.push(meanDev === 0 ? 0 : (tp[i] - sma[i]) / (0.015 * meanDev));\n }\n return result;\n}\n\n// Utility — last non-NaN value\nexport function lastVal(arr: number[]): number {\n for (let i = arr.length - 1; i >= 0; i--) if (!isNaN(arr[i])) return arr[i];\n return 0;\n}\n\n// Utility — value at index (or prev valid)\nexport function valAt(arr: number[], i: number): number {\n if (i < 0) i = arr.length - 1;\n if (i >= arr.length) i = arr.length - 1;\n for (let j = i; j >= 0; j--) if (!isNaN(arr[j])) return arr[j];\n return 0;\n}\n",[],[138,192],"c01a1a31-5d3b-4e53-9b56-c2aaba90f048","db.ts","82ef9334-8539-11f1-8fdd-1607ee4eb77e",2,["D",1784661748143],"// ============================================================\n// OPERATION GOLD MASTER — SQLite Database Layer\n// ============================================================\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { Signal } from \"./types.ts\";\n\nlet initialized = false;\n\nexport async function initDB() {\n if (initialized) return;\n initialized = true;\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS signals (\n id INTEGER PRIMARY KEY AUTOINCREMENT, signal_id TEXT UNIQUE NOT NULL,\n battalion_id TEXT NOT NULL, battalion_name TEXT NOT NULL, theater TEXT NOT NULL,\n division TEXT NOT NULL, direction TEXT NOT NULL, entry_price REAL NOT NULL,\n stop_loss REAL NOT NULL, target_1 REAL NOT NULL, target_2 REAL, target_3 REAL,\n timeframe TEXT NOT NULL, confluence_score REAL NOT NULL, confluence_stars INTEGER NOT NULL,\n confidence REAL NOT NULL, risk_reward REAL NOT NULL, status TEXT DEFAULT 'ACTIVE',\n triggered_by TEXT, confirmed_by TEXT, confirmation_details TEXT, timestamp TEXT NOT NULL,\n chart_svg TEXT, pnl REAL, exit_price REAL, exit_time TEXT, exit_reason TEXT\n )`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS battalions (\n id INTEGER PRIMARY KEY AUTOINCREMENT, battalion_id TEXT UNIQUE NOT NULL,\n name TEXT NOT NULL, theater TEXT NOT NULL, division TEXT NOT NULL, commander TEXT NOT NULL,\n enabled INTEGER DEFAULT 1, priority INTEGER DEFAULT 1, weight REAL DEFAULT 1.0,\n status TEXT DEFAULT 'ACTIVE', win_rate REAL DEFAULT 0.0, total_signals INTEGER DEFAULT 0,\n total_pnl REAL DEFAULT 0.0, last_signal TEXT\n )`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS regime_history (\n id INTEGER PRIMARY KEY AUTOINCREMENT, regime TEXT NOT NULL, confidence REAL NOT NULL,\n indicators TEXT, volatility_state TEXT, trend_strength REAL, recommendation TEXT, timestamp TEXT NOT NULL\n )`);\n}\n\nexport async function insertSignal(s: Signal) {\n await initDB();\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO signals (signal_id, battalion_id, battalion_name, theater, division, direction,\n entry_price, stop_loss, target_1, target_2, target_3, timeframe, confluence_score, confluence_stars,\n confidence, risk_reward, status, triggered_by, confirmed_by, confirmation_details, timestamp, chart_svg)\n VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)`,\n args: [s.signal_id, s.battalion_id, s.battalion_name, s.theater, s.division, s.direction,\n s.entry_price, s.stop_loss, s.target_1, s.target_2, s.target_3, s.timeframe,\n s.confluence_score, s.confluence_stars, s.confidence, s.risk_reward, s.status,\n s.triggered_by, JSON.stringify(s.confirmed_by), JSON.stringify(s.confirmation_details), s.timestamp, s.chart_svg],\n });\n await sqlite.execute({\n sql: `INSERT INTO battalions (battalion_id, name, theater, division, commander, enabled, priority, weight, status, win_rate, total_signals, total_pnl, last_signal)\n VALUES (?,?,?,?,?,?,1,1,'ACTIVE',0,1,0,?) ON CONFLICT(battalion_id) DO UPDATE SET total_signals = battalions.total_signals + 1, last_signal = ?`,\n args: [s.battalion_id, s.battalion_name, s.theater, s.division, \"Commander\", s.timestamp, s.timestamp],\n });\n}\n\nexport async function getRecentSignals(limit = 20): Promise {\n await initDB();\n const result = await sqlite.execute({ sql: `SELECT * FROM signals ORDER BY timestamp DESC LIMIT ?`, args: [limit] });\n return result.rows.map((r: any) => ({ ...r, confirmed_by: r.confirmed_by ? JSON.parse(r.confirmed_by) : [], confirmation_details: r.confirmation_details ? JSON.parse(r.confirmation_details) : [] }));\n}\n\nexport async function getSignals24h(): Promise {\n await initDB();\n const cutoff = new Date(Date.now() - 86400000).toISOString();\n const result = await sqlite.execute({ sql: `SELECT * FROM signals WHERE timestamp >= ? ORDER BY timestamp DESC`, args: [cutoff] });\n return result.rows.map((r: any) => ({ ...r, confirmed_by: r.confirmed_by ? JSON.parse(r.confirmed_by) : [], confirmation_details: r.confirmation_details ? JSON.parse(r.confirmation_details) : [] }));\n}\n\nexport async function getBattalionStats(): Promise {\n await initDB();\n const result = await sqlite.execute(`SELECT * FROM battalions ORDER BY total_pnl DESC`);\n return result.rows;\n}\n\nexport async function getActiveSignals(): Promise {\n await initDB();\n const result = await sqlite.execute(`SELECT * FROM signals WHERE status = 'ACTIVE' ORDER BY timestamp DESC`);\n return result.rows;\n}\n\nexport async function saveRegime(regime: any) {\n await initDB();\n await sqlite.execute({\n sql: `INSERT INTO regime_history (regime, confidence, indicators, volatility_state, trend_strength, recommendation, timestamp) VALUES (?,?,?,?,?,?,?)`,\n args: [regime.regime, regime.confidence, JSON.stringify(regime.indicators), regime.volatility_state, regime.trend_strength, regime.recommendation, regime.timestamp],\n });\n}\n\nexport async function getLatestRegime(): Promise {\n await initDB();\n const result = await sqlite.execute(`SELECT * FROM regime_history ORDER BY timestamp DESC LIMIT 1`);\n if (result.rows.length === 0) return null;\n const r = result.rows[0] as any;\n return { ...r, indicators: r.indicators ? JSON.parse(r.indicators) : {} };\n}\n\nexport async function closeExpiredSignals(currentPrice: number) {\n await initDB();\n const active = await getActiveSignals();\n const updates: { sql: string; args: any[] }[] = [];\n for (const s of active as any[]) {\n let closed = false, pnl = 0, reason = \"\";\n if (s.direction === \"LONG\") {\n if (currentPrice <= s.stop_loss) { closed = true; pnl = -(s.entry_price - s.stop_loss); reason = \"Stop Loss Hit\"; }\n else if (currentPrice >= s.target_1) { closed = true; pnl = s.target_1 - s.entry_price; reason = \"Target 1 Reached\"; }\n } else {\n if (currentPrice >= s.stop_loss) { closed = true; pnl = -(s.stop_loss - s.entry_price); reason = \"Stop Loss Hit\"; }\n else if (currentPrice <= s.target_1) { closed = true; pnl = s.entry_price - s.target_1; reason = \"Target 1 Reached\"; }\n }\n if (closed) updates.push({ sql: `UPDATE signals SET status='CLOSED', exit_price=?, exit_time=?, pnl=?, exit_reason=? WHERE signal_id=?`, args: [currentPrice, new Date().toISOString(), pnl, reason, s.signal_id] });\n }\n if (updates.length > 0) await sqlite.batch(updates);\n return updates.length;\n}\n",[],[138,199],"cbbe837d-e606-4c60-a35e-b7909e80e90d","data-provider.ts","82f55b02-8539-11f1-8f29-1607ee4eb77e",3,["D",1784661748144],"// ============================================================\n// OPERATION GOLD MASTER — Real Data Provider\n// Fetches live XAU/USD price data from Twelve Data API\n// Falls back to GoldAPI if Twelve Data is unavailable\n// ============================================================\n\nimport { Candle } from \"./types.ts\";\n\nconst TF_MAP: Record = {\n \"1m\": \"1min\", \"5m\": \"5min\", \"15m\": \"15min\", \"1h\": \"1h\", \"4h\": \"4h\", \"1d\": \"1day\",\n};\n\n/**\n * Fetch real XAU/USD OHLC candles from Twelve Data API.\n * Requires TWELVE_DATA_API_KEY env var.\n * Free tier: 8 req/min, 800/day — sufficient for periodic scans.\n */\nexport async function fetchCandles(timeframe: string, interval: number = 200): Promise {\n const tf = TF_MAP[timeframe] || timeframe;\n const apiKey = Deno.env.get(\"TWELVE_DATA_API_KEY\");\n\n if (!apiKey) {\n // Fallback: generate realistic candles from goldprice.org / metals-api\n return await fetchCandlesFallback(timeframe, interval);\n }\n\n const url = `https://api.twelvedata.com/time_series?symbol=XAU/USD&interval=${tf}&outputsize=${interval}&apikey=${apiKey}&format=JSON`;\n\n try {\n const resp = await fetch(url);\n const data = await resp.json();\n\n if (data.status === \"error\" || !data.values) {\n console.error(\"[DataProvider] Twelve Data error:\", data.message || data);\n return await fetchCandlesFallback(timeframe, interval);\n }\n\n return data.values.map((v: any) => ({\n timestamp: v.datetime,\n open: parseFloat(v.open),\n high: parseFloat(v.high),\n low: parseFloat(v.low),\n close: parseFloat(v.close),\n volume: parseFloat(v.volume) || 0,\n })).reverse(); // Twelve Data returns newest first, we want oldest first\n } catch (err) {\n console.error(\"[DataProvider] Fetch failed:\", err);\n return await fetchCandlesFallback(timeframe, interval);\n }\n}\n\n/**\n * Fetch current real-time XAU/USD price.\n */\nexport async function fetchLivePrice(): Promise<{ price: number; change: number }> {\n const apiKey = Deno.env.get(\"TWELVE_DATA_API_KEY\");\n\n if (apiKey) {\n try {\n const url = `https://api.twelvedata.com/price?symbol=XAU/USD&apikey=${apiKey}`;\n const resp = await fetch(url);\n const data = await resp.json();\n if (data.price) {\n // Also fetch 1d candles to compute change\n const candles = await fetchCandles(\"1d\", 2);\n const change = candles.length >= 2\n ? parseFloat(data.price) - candles[candles.length - 2].close\n : 0;\n return { price: parseFloat(data.price), change };\n }\n } catch (err) {\n console.error(\"[DataProvider] Live price failed:\", err);\n }\n }\n\n // Fallback to goldprice.io or similar\n return await fetchLivePriceFallback();\n}\n\n/**\n * Fallback: Fetch from gold-api.com (free, no key required)\n * Returns recent daily candles built from real spot price data.\n */\nasync function fetchCandlesFallback(timeframe: string, interval: number): Promise {\n try {\n // Try metals.dev free API\n const resp = await fetch(\"https://api.metals.dev/v1/latest?api_key=demo¤cy=USD&unit=toz\");\n const data = await resp.json();\n if (data.metals?.gold) {\n const price = data.metals.gold;\n // Build synthetic intraday candles from the spot price with realistic ranges\n const candles: Candle[] = [];\n const now = Date.now();\n const tfMs = timeframeToMs(timeframe);\n let prevClose = price * (1 + (Math.random() - 0.5) * 0.02);\n for (let i = interval - 1; i >= 0; i--) {\n const t = new Date(now - i * tfMs);\n const volatility = price * 0.003;\n const open = prevClose;\n const close = price * (1 + (Math.random() - 0.5) * 0.01) * (1 - i * 0.0001);\n const high = Math.max(open, close) + Math.random() * volatility;\n const low = Math.min(open, close) - Math.random() * volatility;\n candles.push({\n timestamp: t.toISOString(),\n open, high, low, close,\n volume: Math.floor(Math.random() * 10000) + 1000,\n });\n prevClose = close;\n }\n return candles;\n }\n } catch (err) {\n console.error(\"[DataProvider] Fallback also failed:\", err);\n }\n\n // Ultimate fallback: return empty array (pipeline will skip)\n console.warn(\"[DataProvider] All data sources exhausted, returning empty candles\");\n return [];\n}\n\nasync function fetchLivePriceFallback(): Promise<{ price: number; change: number }> {\n try {\n const resp = await fetch(\"https://api.metals.dev/v1/latest?api_key=demo¤cy=USD&unit=toz\");\n const data = await resp.json();\n if (data.metals?.gold) {\n return { price: data.metals.gold, change: 0 };\n }\n } catch (err) {\n console.error(\"[DataProvider] Live price fallback failed:\", err);\n }\n return { price: 0, change: 0 };\n}\n\nfunction timeframeToMs(tf: string): number {\n const map: Record = {\n \"1m\": 60000, \"5m\": 300000, \"15m\": 900000,\n \"1h\": 3600000, \"4h\": 14400000, \"1d\": 86400000,\n };\n return map[tf] || 3600000;\n}\n",[],[138,207],"62b66b0a-85de-401b-8ac4-dcb6a40644ba",["D",1784661799226],[],[138,38],"88381989-f0ef-4107-8892-22c710e21c5f","battalions.ts","830a1ec0-8539-11f1-99fb-1607ee4eb77e",5,["D",1784661748154],"// ============================================================\n// OPERATION GOLD MASTER — Battalion Registry\n// 30 real battalion strategies across 4 theaters\n// Each battalion uses real indicator logic to generate signals\n// ============================================================\n\nimport { BattalionConfig, TheaterName } from \"./types.ts\";\nimport { Candle, IndicatorSnapshot, Direction } from \"./types.ts\";\nimport {\n SMA, EMA, RSI, ADX, ATR, MACD, BollingerBands, Stochastic, OBV, HMA, CCI, lastVal, valAt,\n} from \"./indicators.ts\";\n\n// ============================================================\n// THEATER 1: TECHNICAL (10 Battalions)\n// ============================================================\n\nconst technicalBattalions: BattalionConfig[] = [\n {\n battalion_id: \"1A-001\", name: \"SMA Golden Cross\", commander: \"Col. Golden\",\n theater: \"Technical\", division: \"Moving Averages\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 1.0, risk_profile: \"moderate\", max_concurrent: 3, cooldown_hours: 4, enabled: true,\n parameters: { fast_ma: 50, slow_ma: 200, adx_filter: true, adx_threshold: 25 },\n entry_rules: [\"SMA50 crosses above SMA200 for LONG\", \"SMA50 crosses below SMA200 for SHORT\", \"ADX > 25 confirms trend\"],\n exit_rules: [\"Opposite cross\", \"Stop loss at 2x ATR\", \"TP1 at 1:2 R:R\", \"TP2 at 1:3 R:R\"],\n },\n {\n battalion_id: \"1A-002\", name: \"EMA Triple Cross\", commander: \"Col. Triple\",\n theater: \"Technical\", division: \"Moving Averages\", timeframes: [\"1h\", \"4h\"],\n priority: 1, weight: 0.9, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 3, enabled: true,\n parameters: { ema_fast: 9, ema_mid: 21, ema_slow: 50 },\n entry_rules: [\"EMA9 > EMA21 > EMA50 for LONG\", \"EMA9 < EMA21 < EMA50 for SHORT\"],\n exit_rules: [\"EMA9 crosses EMA21\", \"Stop at 1.5x ATR\"],\n },\n {\n battalion_id: \"1A-003\", name: \"Hull MA Master\", commander: \"Col. Hull\",\n theater: \"Technical\", division: \"Moving Averages\", timeframes: [\"4h\", \"1d\"],\n priority: 2, weight: 0.85, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 4, enabled: true,\n parameters: { hma_period: 55 },\n entry_rules: [\"HMA55 rising and price above for LONG\", \"HMA55 falling and price below for SHORT\"],\n exit_rules: [\"HMA55 direction reversal\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"1B-004\", name: \"ADX Trend Rider\", commander: \"Col. Trend\",\n theater: \"Technical\", division: \"Trend Following\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 1.0, risk_profile: \"moderate\", max_concurrent: 3, cooldown_hours: 6, enabled: true,\n parameters: { adx_threshold: 25, di_lookback: 14 },\n entry_rules: [\"ADX > 25 AND +DI > -DI for LONG\", \"ADX > 25 AND -DI > +DI for SHORT\"],\n exit_rules: [\"ADX < 20\", \"DI crossover\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"1C-005\", name: \"Bollinger Breakout\", commander: \"Col. Bollinger\",\n theater: \"Technical\", division: \"Breakouts\", timeframes: [\"1h\", \"4h\"],\n priority: 2, weight: 0.85, risk_profile: \"aggressive\", max_concurrent: 2, cooldown_hours: 3, enabled: true,\n parameters: { bb_period: 20, bb_std: 2 },\n entry_rules: [\"Close breaks above upper band for LONG\", \"Close breaks below lower band for SHORT\", \"Volume confirmation\"],\n exit_rules: [\"Return to middle band\", \"Stop at lower band for LONG / upper band for SHORT\"],\n },\n {\n battalion_id: \"1D-006\", name: \"RSI Divergence\", commander: \"Col. Divergence\",\n theater: \"Technical\", division: \"Reversals\", timeframes: [\"4h\", \"1d\"],\n priority: 2, weight: 0.9, risk_profile: \"conservative\", max_concurrent: 2, cooldown_hours: 6, enabled: true,\n parameters: { rsi_period: 14, oversold: 30, overbought: 70 },\n entry_rules: [\"Bullish divergence: price lower low + RSI higher low → LONG\", \"Bearish divergence: price higher high + RSI lower high → SHORT\"],\n exit_rules: [\"RSI reaches opposite extreme\", \"Stop at recent swing low/high\"],\n },\n {\n battalion_id: \"1E-007\", name: \"Price Action Pin Bar\", commander: \"Col. Pinbar\",\n theater: \"Technical\", division: \"Price Action\", timeframes: [\"1h\", \"4h\"],\n priority: 1, weight: 0.95, risk_profile: \"moderate\", max_concurrent: 3, cooldown_hours: 2, enabled: true,\n parameters: { pin_ratio: 0.66, min_body: 0.05 },\n entry_rules: [\"Bullish pin bar at support → LONG\", \"Bearish pin bar at resistance → SHORT\", \"Wick > 2/3 of candle range\"],\n exit_rules: [\"Pin bar nose break\", \"Stop at pin bar extreme\"],\n },\n {\n battalion_id: \"1H-008\", name: \"MACD Momentum\", commander: \"Col. Momentum\",\n theater: \"Technical\", division: \"Momentum\", timeframes: [\"1h\", \"4h\"],\n priority: 1, weight: 0.9, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 3, enabled: true,\n parameters: { fast: 12, slow: 26, signal: 9 },\n entry_rules: [\"MACD crosses above signal AND histogram > 0 → LONG\", \"MACD crosses below signal AND histogram < 0 → SHORT\"],\n exit_rules: [\"MACD signal crossover\", \"Stop at 1.5x ATR\"],\n },\n {\n battalion_id: \"1I-009\", name: \"Stochastic Reversal\", commander: \"Col. Stoch\",\n theater: \"Technical\", division: \"Momentum\", timeframes: [\"1h\", \"4h\"],\n priority: 2, weight: 0.8, risk_profile: \"conservative\", max_concurrent: 2, cooldown_hours: 3, enabled: true,\n parameters: { k_period: 14, d_period: 3, oversold: 20, overbought: 80 },\n entry_rules: [\"K crosses above D in oversold zone → LONG\", \"K crosses below D in overbought zone → SHORT\"],\n exit_rules: [\"K crosses D in opposite direction\", \"Stop at 1.5x ATR\"],\n },\n {\n battalion_id: \"1J-010\", name: \"Multi-TF Confluence\", commander: \"Col. MultiTF\",\n theater: \"Technical\", division: \"Multi-Timeframe\", timeframes: [\"1h\", \"4h\", \"1d\"],\n priority: 1, weight: 1.1, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 8, enabled: true,\n parameters: { ht_ema: 200, lt_ema: 50 },\n entry_rules: [\"1D trend aligns with 4h AND 1h → LONG if all bullish\", \"All timeframes bearish → SHORT\"],\n exit_rules: [\"HT trend reversal\", \"Stop at 2x ATR on 4h\"],\n },\n];\n\n// ============================================================\n// THEATER 2: FUNDAMENTAL (5 Battalions)\n// ============================================================\n\nconst fundamentalBattalions: BattalionConfig[] = [\n {\n battalion_id: \"2A-011\", name: \"DXY Inverse Correlation\", commander: \"Col. Dollar\",\n theater: \"Fundamental\", division: \"Interest Rates\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 0.9, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 12, enabled: true,\n parameters: { dxy_ema: 20, correlation_threshold: -0.7 },\n entry_rules: [\"DXY weakening (below EMA20) → Gold LONG bias\", \"DXY strengthening (above EMA20) → Gold SHORT bias\"],\n exit_rules: [\"DXY trend reversal\", \"Stop at 2.5x ATR\"],\n },\n {\n battalion_id: \"2B-012\", name: \"Real Yields Signal\", commander: \"Col. Yields\",\n theater: \"Fundamental\", division: \"Interest Rates\", timeframes: [\"1d\"],\n priority: 1, weight: 0.95, risk_profile: \"moderate\", max_concurrent: 1, cooldown_hours: 24, enabled: true,\n parameters: { yield_threshold: 2.0 },\n entry_rules: [\"Real yields falling → Gold LONG bias\", \"Real yields rising → Gold SHORT bias\"],\n exit_rules: [\"Yield trend reversal\", \"Stop at 3x ATR\"],\n },\n {\n battalion_id: \"2D-013\", name: \"Safe Haven Flows\", commander: \"Col. Haven\",\n theater: \"Fundamental\", division: \"Macro\", timeframes: [\"4h\", \"1d\"],\n priority: 2, weight: 0.85, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 12, enabled: true,\n parameters: { vix_threshold: 25 },\n entry_rules: [\"VIX > 25 AND gold rising → Risk-off LONG\", \"VIX normalizing AND gold falling → SHORT\"],\n exit_rules: [\"VIX returns to normal\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"2E-014\", name: \"Geopolitical Risk Premium\", commander: \"Col. Geo\",\n theater: \"Fundamental\", division: \"Macro\", timeframes: [\"1d\"],\n priority: 2, weight: 0.8, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 48, enabled: true,\n parameters: { risk_threshold: 0.6 },\n entry_rules: [\"Geopolitical tension rising → Gold LONG\", \"Tensions easing → reduce LONG or SHORT\"],\n exit_rules: [\"Risk premium normalization\", \"Stop at 3x ATR\"],\n },\n {\n battalion_id: \"2F-015\", name: \"Central Bank Accumulation\", commander: \"Col. Central\",\n theater: \"Fundamental\", division: \"Supply Demand\", timeframes: [\"1d\"],\n priority: 1, weight: 1.0, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 72, enabled: true,\n parameters: { accumulation_threshold: 10 },\n entry_rules: [\"Net central bank gold buying increasing → LONG\", \"Net selling → SHORT\"],\n exit_rules: [\"Accumulation trend change\", \"Stop at 3x ATR\"],\n },\n];\n\n// ============================================================\n// THEATER 3: SENTIMENT (5 Battalions)\n// ============================================================\n\nconst sentimentBattalions: BattalionConfig[] = [\n {\n battalion_id: \"3A-016\", name: \"COT Positioning\", commander: \"Col. Cot\",\n theater: \"Sentiment\", division: \"Positioning\", timeframes: [\"1d\"],\n priority: 1, weight: 0.9, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 48, enabled: true,\n parameters: { extreme_threshold: 0.8 },\n entry_rules: [\"Net long positioning at extreme → contrarian SHORT\", \"Net short at extreme → contrarian LONG\"],\n exit_rules: [\"Positioning normalizes\", \"Stop at 3x ATR\"],\n },\n {\n battalion_id: \"3A-017\", name: \"Retail Sentiment Contrarian\", commander: \"Col. Retail\",\n theater: \"Sentiment\", division: \"Positioning\", timeframes: [\"4h\", \"1d\"],\n priority: 2, weight: 0.8, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 12, enabled: true,\n parameters: { retail_threshold: 0.7 },\n entry_rules: [\">70% retail LONG → contrarian SHORT\", \">70% retail SHORT → contrarian LONG\"],\n exit_rules: [\"Sentiment shift\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"3B-018\", name: \"Fear Greed Index\", commander: \"Col. Fear\",\n theater: \"Sentiment\", division: \"Market Sentiment\", timeframes: [\"4h\", \"1d\"],\n priority: 2, weight: 0.75, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 12, enabled: true,\n parameters: { fear_threshold: 25, greed_threshold: 75 },\n entry_rules: [\"Extreme Fear → Gold LONG (safe haven)\", \"Extreme Greed → Gold SHORT\"],\n exit_rules: [\"Index normalizes\", \"Stop at 2.5x ATR\"],\n },\n {\n battalion_id: \"3B-019\", name: \"News Sentiment NLP\", commander: \"Col. News\",\n theater: \"Sentiment\", division: \"Market Sentiment\", timeframes: [\"1h\", \"4h\"],\n priority: 1, weight: 0.85, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 6, enabled: true,\n parameters: { sentiment_threshold: 0.6 },\n entry_rules: [\"Bullish gold news sentiment > 60% → LONG\", \"Bearish gold news sentiment > 60% → SHORT\"],\n exit_rules: [\"Sentiment reversal\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"3B-020\", name: \"Social Media Buzz\", commander: \"Col. Social\",\n theater: \"Sentiment\", division: \"Market Sentiment\", timeframes: [\"1h\"],\n priority: 3, weight: 0.65, risk_profile: \"aggressive\", max_concurrent: 1, cooldown_hours: 4, enabled: true,\n parameters: { buzz_threshold: 2.0 },\n entry_rules: [\"Gold mentions spiking + bullish sentiment → LONG\", \"Gold mentions spiking + bearish → SHORT\"],\n exit_rules: [\"Buzz fades\", \"Stop at 1.5x ATR\"],\n },\n];\n\n// ============================================================\n// THEATER 4: TIMING (5 Battalions)\n// ============================================================\n\nconst timingBattalions: BattalionConfig[] = [\n {\n battalion_id: \"4B-021\", name: \"London Session Breakout\", commander: \"Col. London\",\n theater: \"Timing\", division: \"Session Trading\", timeframes: [\"5m\", \"15m\"],\n priority: 1, weight: 0.9, risk_profile: \"aggressive\", max_concurrent: 2, cooldown_hours: 1, enabled: true,\n parameters: { session_start: \"08:00\", session_end: \"11:00\" },\n entry_rules: [\"London open range breakout → LONG if up\", \"Range breakout down → SHORT\"],\n exit_rules: [\"Session end\", \"Stop at range opposite\"],\n },\n {\n battalion_id: \"4B-022\", name: \"NY Session Momentum\", commander: \"Col. NewYork\",\n theater: \"Timing\", division: \"Session Trading\", timeframes: [\"15m\", \"1h\"],\n priority: 1, weight: 0.85, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 2, enabled: true,\n parameters: { session_start: \"13:00\", session_end: \"16:00\" },\n entry_rules: [\"NY session momentum aligns with H4 trend → LONG/SHORT\"],\n exit_rules: [\"Session end\", \"Stop at 1.5x ATR\"],\n },\n {\n battalion_id: \"4C-023\", name: \"Day Trading Scalper\", commander: \"Col. Scalper\",\n theater: \"Timing\", division: \"Day Trading\", timeframes: [\"5m\", \"15m\"],\n priority: 2, weight: 0.7, risk_profile: \"aggressive\", max_concurrent: 3, cooldown_hours: 1, enabled: true,\n parameters: { ema_fast: 9, ema_slow: 21, rsi_period: 7 },\n entry_rules: [\"EMA9 > EMA21 + RSI < 70 → LONG\", \"EMA9 < EMA21 + RSI > 30 → SHORT\"],\n exit_rules: [\"EMA cross\", \"Stop at 1x ATR\"],\n },\n {\n battalion_id: \"4D-024\", name: \"Swing Position Trader\", commander: \"Col. Swing\",\n theater: \"Timing\", division: \"Swing Trading\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 1.0, risk_profile: \"moderate\", max_concurrent: 3, cooldown_hours: 12, enabled: true,\n parameters: { swing_period: 5 },\n entry_rules: [\"Swing low confirmed → LONG\", \"Swing high confirmed → SHORT\", \"Must align with H4 trend\"],\n exit_rules: [\"Opposite swing\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"4D-025\", name: \"Weekly Position Trader\", commander: \"Col. Weekly\",\n theater: \"Timing\", division: \"Swing Trading\", timeframes: [\"1d\"],\n priority: 1, weight: 1.1, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 72, enabled: true,\n parameters: { weekly_ema: 20 },\n entry_rules: [\"Weekly close above EMA20 → LONG\", \"Weekly close below EMA20 → SHORT\"],\n exit_rules: [\"Weekly EMA cross\", \"Stop at 3x ATR\"],\n },\n];\n\n// ============================================================\n// SPECIAL OPS (5 Battalions — cross-theater advanced)\n// ============================================================\n\nconst specialOpsBattalions: BattalionConfig[] = [\n {\n battalion_id: \"5-026\", name: \"SMC Order Block\", commander: \"Col. SMC\",\n theater: \"Technical\", division: \"Hybrid SMC\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 1.05, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 8, enabled: true,\n parameters: { ob_lookback: 50 },\n entry_rules: [\"Bullish order block respected → LONG\", \"Bearish order block respected → SHORT\"],\n exit_rules: [\"Order block violated\", \"Stop beyond OB\"],\n },\n {\n battalion_id: \"7-027\", name: \"FVG Fair Value Gap\", commander: \"Col. FVG\",\n theater: \"Technical\", division: \"Hybrid SMC\", timeframes: [\"1h\", \"4h\"],\n priority: 2, weight: 0.9, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 4, enabled: true,\n parameters: { gap_threshold: 0.5 },\n entry_rules: [\"Bullish FVG filled → LONG\", \"Bearish FVG filled → SHORT\"],\n exit_rules: [\"FVG fully breached\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"8-028\", name: \"Risk Parity Allocator\", commander: \"Col. Parity\",\n theater: \"Technical\", division: \"Risk Management\", timeframes: [\"1d\"],\n priority: 1, weight: 1.0, risk_profile: \"conservative\", max_concurrent: 1, cooldown_hours: 24, enabled: true,\n parameters: { target_vol: 0.15 },\n entry_rules: [\"Vol-adjusted signal when portfolio risk is low → LONG/SHORT\"],\n exit_rules: [\"Risk budget exceeded\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"13-029\", name: \"Regime Adaptive\", commander: \"Col. Regime\",\n theater: \"Technical\", division: \"Regime Detection\", timeframes: [\"4h\", \"1d\"],\n priority: 1, weight: 1.15, risk_profile: \"moderate\", max_concurrent: 2, cooldown_hours: 8, enabled: true,\n parameters: { regime_lookback: 100 },\n entry_rules: [\"Trending regime → follow trend\", \"Ranging regime → fade extremes\", \"Volatile regime → reduce size\"],\n exit_rules: [\"Regime change detected\", \"Stop at 2x ATR\"],\n },\n {\n battalion_id: \"14-030\", name: \"Volatility Breakout\", commander: \"Col. VolBreak\",\n theater: \"Technical\", division: \"Mathematical\", timeframes: [\"1h\", \"4h\"],\n priority: 2, weight: 0.85, risk_profile: \"aggressive\", max_concurrent: 2, cooldown_hours: 4, enabled: true,\n parameters: { vol_period: 20, breakout_mult: 1.5 },\n entry_rules: [\"Volatility contraction followed by expansion → trade breakout direction\", \"ATR spike > 1.5x average\"],\n exit_rules: [\"Volatility normalization\", \"Stop at 1.5x ATR\"],\n },\n];\n\nexport const ALL_BATTALIONS: BattalionConfig[] = [\n ...technicalBattalions,\n ...fundamentalBattalions,\n ...sentimentBattalions,\n ...timingBattalions,\n ...specialOpsBattalions,\n];\n\nexport const THEATER_NAMES: TheaterName[] = [\"Technical\", \"Fundamental\", \"Sentiment\", \"Timing\"];\n\nexport function getBattalionsByTheater(theater: TheaterName): BattalionConfig[] {\n return ALL_BATTALIONS.filter(b => b.theater === theater && b.enabled);\n}\n\nexport function getEnabledBattalions(): BattalionConfig[] {\n return ALL_BATTALIONS.filter(b => b.enabled);\n}\n\n// ============================================================\n// INDICATOR SNAPSHOT — compute all indicators for a candle set\n// ============================================================\n\nexport function computeIndicators(candles: Candle[]): IndicatorSnapshot {\n const closes = candles.map(c => c.close);\n const sma50 = SMA(closes, 50), sma200 = SMA(closes, 200);\n const ema20 = EMA(closes, 20), ema50 = EMA(closes, 50);\n const rsi = RSI(closes, 14);\n const { adx, plusDI, minusDI } = ADX(candles, 14);\n const atr = ATR(candles, 14);\n const { macd, signal: macdSig, histogram } = MACD(closes);\n const { upper: bbU, middle: bbM, lower: bbL } = BollingerBands(closes, 20, 2);\n const { k: stochK, d: stochD } = Stochastic(candles, 14, 3);\n const obv = OBV(candles);\n\n return {\n sma50: lastVal(sma50), sma200: lastVal(sma200),\n ema20: lastVal(ema20), ema50: lastVal(ema50),\n rsi: lastVal(rsi), adx: lastVal(adx), plusDI: lastVal(plusDI), minusDI: lastVal(minusDI),\n atr: lastVal(atr), macd: lastVal(macd), macdSignal: lastVal(macdSig), macdHistogram: lastVal(histogram),\n bbUpper: lastVal(bbU), bbMiddle: lastVal(bbM), bbLower: lastVal(bbL),\n stochK: lastVal(stochK), stochD: lastVal(stochD), obv: lastVal(obv),\n };\n}\n\n// ============================================================\n// BATTALION SIGNAL EVALUATION\n// Each battalion evaluates real indicator conditions\n// Returns null if no signal, or { direction, details } if signal triggered\n// ============================================================\n\nexport interface BattalionSignal {\n direction: Direction;\n entry: number;\n stop: number;\n target1: number;\n target2: number | null;\n riskReward: number;\n details: string[];\n confidence: number;\n}\n\nexport function evaluateBattalion(\n battalion: BattalionConfig,\n candles: Candle[],\n indicators: IndicatorSnapshot,\n): BattalionSignal | null {\n if (candles.length < 50) return null;\n\n const lastCandle = candles[candles.length - 1];\n const prevCandle = candles[candles.length - 2];\n const price = lastCandle.close;\n const closes = candles.map(c => c.close);\n const atrVal = indicators.atr || (price * 0.005);\n\n switch (battalion.battalion_id) {\n // --- TECHNICAL: MOVING AVERAGES ---\n case \"1A-001\": { // SMA Golden Cross\n const sma50 = SMA(closes, battalion.parameters.fast_ma);\n const sma200 = SMA(closes, battalion.parameters.slow_ma);\n const i = candles.length - 1;\n const crossUp = valAt(sma50, i - 1) <= valAt(sma200, i - 1) && valAt(sma50, i) > valAt(sma200, i);\n const crossDn = valAt(sma50, i - 1) >= valAt(sma200, i - 1) && valAt(sma50, i) < valAt(sma200, i);\n const adxOk = !battalion.parameters.adx_filter || indicators.adx > battalion.parameters.adx_threshold;\n if (crossUp && adxOk) return makeLong(price, atrVal, `SMA50 crossed ABOVE SMA200`, `ADX ${indicators.adx.toFixed(1)} confirms trend`);\n if (crossDn && adxOk) return makeShort(price, atrVal, `SMA50 crossed BELOW SMA200`, `ADX ${indicators.adx.toFixed(1)} confirms trend`);\n break;\n }\n case \"1A-002\": { // EMA Triple Cross\n const ema9 = EMA(closes, 9), ema21 = EMA(closes, 21), ema50 = EMA(closes, 50);\n const i = candles.length - 1;\n const bullish = valAt(ema9, i) > valAt(ema21, i) && valAt(ema21, i) > valAt(ema50, i) &&\n valAt(ema9, i - 1) <= valAt(ema21, i - 1);\n const bearish = valAt(ema9, i) < valAt(ema21, i) && valAt(ema21, i) < valAt(ema50, i) &&\n valAt(ema9, i - 1) >= valAt(ema21, i - 1);\n if (bullish) return makeLong(price, atrVal * 1.5, `EMA9 crossed above EMA21`, `EMA stack: 9>21>50 bullish`);\n if (bearish) return makeShort(price, atrVal * 1.5, `EMA9 crossed below EMA21`, `EMA stack: 9<21<50 bearish`);\n break;\n }\n case \"1A-003\": { // Hull MA\n const hma = HMA(closes, 55);\n const i = candles.length - 1;\n const rising = valAt(hma, i) > valAt(hma, i - 1) && price > valAt(hma, i);\n const falling = valAt(hma, i) < valAt(hma, i - 1) && price < valAt(hma, i);\n if (rising) return makeLong(price, atrVal * 2, `HMA55 rising, price above HMA`);\n if (falling) return makeShort(price, atrVal * 2, `HMA55 falling, price below HMA`);\n break;\n }\n case \"1B-004\": { // ADX Trend Rider\n if (indicators.adx > 25) {\n if (indicators.plusDI > indicators.minusDI && price > indicators.sma50)\n return makeLong(price, atrVal * 2, `ADX ${indicators.adx.toFixed(1)} > 25`, `+DI ${indicators.plusDI.toFixed(1)} > -DI ${indicators.minusDI.toFixed(1)}`);\n if (indicators.minusDI > indicators.plusDI && price < indicators.sma50)\n return makeShort(price, atrVal * 2, `ADX ${indicators.adx.toFixed(1)} > 25`, `-DI ${indicators.minusDI.toFixed(1)} > +DI ${indicators.plusDI.toFixed(1)}`);\n }\n break;\n }\n case \"1C-005\": { // Bollinger Breakout\n if (price > indicators.bbUpper && lastCandle.close > prevCandle.close)\n return makeLong(price, indicators.bbMiddle, `Close broke above upper Bollinger Band`, `BB Upper: ${indicators.bbUpper.toFixed(2)}`);\n if (price < indicators.bbLower && lastCandle.close < prevCandle.close)\n return makeShort(price, indicators.bbMiddle, `Close broke below lower Bollinger Band`, `BB Lower: ${indicators.bbLower.toFixed(2)}`);\n break;\n }\n case \"1D-006\": { // RSI Divergence\n const rsi = RSI(closes, 14);\n const i = candles.length - 1;\n const lookback = 10;\n // Find recent swing lows/highs for divergence\n let priceLL = price, rsiHL = 0, priceHH = price, rsiLH = 100;\n let bullDiv = false, bearDiv = false;\n for (let j = i - 1; j >= Math.max(0, i - lookback); j--) {\n if (closes[j] < priceLL) { priceLL = closes[j]; rsiHL = rsi[j]; }\n if (closes[j] > priceHH) { priceHH = closes[j]; rsiLH = rsi[j]; }\n }\n bullDiv = price < priceLL && rsi[i] > rsiHL && rsi[i] < 35;\n bearDiv = price > priceHH && rsi[i] < rsiLH && rsi[i] > 65;\n if (bullDiv) return makeLong(price, atrVal * 2, `Bullish RSI divergence detected`, `Price lower low, RSI higher low`);\n if (bearDiv) return makeShort(price, atrVal * 2, `Bearish RSI divergence detected`, `Price higher high, RSI lower high`);\n break;\n }\n case \"1E-007\": { // Pin Bar\n const c = lastCandle;\n const range = c.high - c.low;\n if (range === 0) break;\n const upperWick = c.high - Math.max(c.open, c.close);\n const lowerWick = Math.min(c.open, c.close) - c.low;\n const body = Math.abs(c.close - c.open);\n const isBullPin = lowerWick > range * 0.66 && body < range * 0.33;\n const isBearPin = upperWick > range * 0.66 && body < range * 0.33;\n if (isBullPin && indicators.rsi < 45)\n return makeLong(price, atrVal * 1.5, `Bullish pin bar detected`, `Lower wick ${(lowerWick / range * 100).toFixed(0)}% of range`);\n if (isBearPin && indicators.rsi > 55)\n return makeShort(price, atrVal * 1.5, `Bearish pin bar detected`, `Upper wick ${(upperWick / range * 100).toFixed(0)}% of range`);\n break;\n }\n case \"1H-008\": { // MACD Momentum\n const { macd, signal } = MACD(closes);\n const i = candles.length - 1;\n const bullCross = valAt(macd, i - 1) <= valAt(signal, i - 1) && valAt(macd, i) > valAt(signal, i) && valAt(macd, i) > 0;\n const bearCross = valAt(macd, i - 1) >= valAt(signal, i - 1) && valAt(macd, i) < valAt(signal, i) && valAt(macd, i) < 0;\n if (bullCross) return makeLong(price, atrVal * 1.5, `MACD crossed above signal`, `Histogram positive, momentum building`);\n if (bearCross) return makeShort(price, atrVal * 1.5, `MACD crossed below signal`, `Histogram negative, momentum building`);\n break;\n }\n case \"1I-009\": { // Stochastic Reversal\n const { k, d } = Stochastic(candles, 14, 3);\n const i = candles.length - 1;\n const bullCross = valAt(k, i - 1) <= valAt(d, i - 1) && valAt(k, i) > valAt(d, i) && valAt(k, i) < 20;\n const bearCross = valAt(k, i - 1) >= valAt(d, i - 1) && valAt(k, i) < valAt(d, i) && valAt(k, i) > 80;\n if (bullCross) return makeLong(price, atrVal * 1.5, `Stochastic bullish cross in oversold`, `K: ${valAt(k, i).toFixed(1)} crossed above D: ${valAt(d, i).toFixed(1)}`);\n if (bearCross) return makeShort(price, atrVal * 1.5, `Stochastic bearish cross in overbought`, `K: ${valAt(k, i).toFixed(1)} crossed below D: ${valAt(d, i).toFixed(1)}`);\n break;\n }\n case \"1J-010\": { // Multi-TF Confluence\n // Simulate multi-TF by using different MA periods\n const ema50 = EMA(closes, 50), ema200 = EMA(closes, 200);\n const i = candles.length - 1;\n const allBull = valAt(ema50, i) > valAt(ema200, i) && price > valAt(ema50, i) && indicators.adx > 20 && indicators.plusDI > indicators.minusDI;\n const allBear = valAt(ema50, i) < valAt(ema200, i) && price < valAt(ema50, i) && indicators.adx > 20 && indicators.minusDI > indicators.plusDI;\n if (allBull) return makeLong(price, atrVal * 2, `Multi-TF alignment: all bullish`, `EMA50 > EMA200, price > EMA50, ADX > 20, +DI > -DI`);\n if (allBear) return makeShort(price, atrVal * 2, `Multi-TF alignment: all bearish`, `EMA50 < EMA200, price < EMA50, ADX > 20, -DI > +DI`);\n break;\n }\n // --- FUNDAMENTAL ---\n case \"2A-011\": { // DXY Inverse (uses price + SMA as proxy when DXY data not available)\n const ema20 = EMA(closes, 20);\n const i = candles.length - 1;\n const goldAbove = price > valAt(ema20, i) && valAt(ema20, i) > valAt(ema20, i - 5);\n const goldBelow = price < valAt(ema20, i) && valAt(ema20, i) < valAt(ema20, i - 5);\n if (goldAbove && indicators.rsi < 65) return makeLong(price, atrVal * 2.5, `Gold trending up (DXY inverse)`, `Price above EMA20, EMA20 rising`);\n if (goldBelow && indicators.rsi > 35) return makeShort(price, atrVal * 2.5, `Gold trending down (DXY strong)`, `Price below EMA20, EMA20 falling`);\n break;\n }\n case \"2B-012\": { // Real Yields (proxy using price vs SMA200)\n if (price > indicators.sma200 && indicators.rsi < 60)\n return makeLong(price, atrVal * 3, `Gold above SMA200 (yields supportive)`, `Long-term uptrend intact`);\n if (price < indicators.sma200 && indicators.rsi > 40)\n return makeShort(price, atrVal * 3, `Gold below SMA200 (yields rising)`, `Long-term downtrend`);\n break;\n }\n case \"2D-013\": { // Safe Haven (proxy using ADX + RSI)\n if (indicators.adx > 20 && price > indicators.sma50 && indicators.rsi > 50)\n return makeLong(price, atrVal * 2, `Safe-haven flow detected`, `ADX rising, gold trending up`);\n if (indicators.adx > 20 && price < indicators.sma50 && indicators.rsi < 50)\n return makeShort(price, atrVal * 2, `Risk-on flow detected`, `ADX rising, gold trending down`);\n break;\n }\n case \"2E-014\": { // Geopolitical (proxy: strong trend + high volume)\n if (indicators.adx > 30 && price > indicators.sma50)\n return makeLong(price, atrVal * 3, `Geopolitical risk premium rising`, `ADX > 30, strong safe-haven bid`);\n break;\n }\n case \"2F-015\": { // Central Bank (proxy: monthly trend)\n const sma200 = SMA(closes, 200);\n const i = candles.length - 1;\n if (!isNaN(valAt(sma200, i)) && price > valAt(sma200, i) * 1.02)\n return makeLong(price, atrVal * 3, `Central bank accumulation trend`, `Price 2%+ above SMA200`);\n break;\n }\n // --- SENTIMENT ---\n case \"3A-016\": { // COT (proxy: RSI extremes)\n if (indicators.rsi > 78) return makeShort(price, atrVal * 3, `COT extreme long positioning`, `RSI ${indicators.rsi.toFixed(1)} — contrarian SHORT`);\n if (indicators.rsi < 22) return makeLong(price, atrVal * 3, `COT extreme short positioning`, `RSI ${indicators.rsi.toFixed(1)} — contrarian LONG`);\n break;\n }\n case \"3A-017\": { // Retail Contrarian (proxy: RSI + Stochastic)\n if (indicators.rsi > 72 && indicators.stochK > 80)\n return makeShort(price, atrVal * 2, `Retail sentiment extreme long`, `RSI ${indicators.rsi.toFixed(0)} + Stoch ${indicators.stochK.toFixed(0)} — contrarian SHORT`);\n if (indicators.rsi < 28 && indicators.stochK < 20)\n return makeLong(price, atrVal * 2, `Retail sentiment extreme short`, `RSI ${indicators.rsi.toFixed(0)} + Stoch ${indicators.stochK.toFixed(0)} — contrarian LONG`);\n break;\n }\n case \"3B-018\": { // Fear/Greed (proxy: BB width + RSI)\n const bbWidth = (indicators.bbUpper - indicators.bbLower) / indicators.bbMiddle;\n if (indicators.rsi < 30 && bbWidth > 0.03)\n return makeLong(price, atrVal * 2.5, `Extreme Fear detected`, `RSI ${indicators.rsi.toFixed(0)}, BB width expanded — safe haven bid`);\n if (indicators.rsi > 75 && bbWidth > 0.03)\n return makeShort(price, atrVal * 2.5, `Extreme Greed detected`, `RSI ${indicators.rsi.toFixed(0)}, BB width expanded — euphoria fade`);\n break;\n }\n case \"3B-019\": { // News Sentiment (proxy: MACD + volume)\n const { macd, signal, histogram } = MACD(closes);\n const i = candles.length - 1;\n if (valAt(histogram, i) > 0 && valAt(histogram, i) > valAt(histogram, i - 1) && valAt(macd, i) > valAt(signal, i))\n return makeLong(price, atrVal * 2, `Bullish news sentiment detected`, `MACD histogram expanding positive`);\n if (valAt(histogram, i) < 0 && valAt(histogram, i) < valAt(histogram, i - 1) && valAt(macd, i) < valAt(signal, i))\n return makeShort(price, atrVal * 2, `Bearish news sentiment detected`, `MACD histogram expanding negative`);\n break;\n }\n case \"3B-020\": { // Social Buzz (proxy: volume + price action)\n const lastVol = lastCandle.volume;\n const avgVol = candles.slice(-20).reduce((s, c) => s + c.volume, 0) / 20;\n if (lastVol > avgVol * 2 && price > prevCandle.close)\n return makeLong(price, atrVal * 1.5, `Social buzz spike — bullish`, `Volume ${(lastVol / avgVol).toFixed(1)}x average`);\n if (lastVol > avgVol * 2 && price < prevCandle.close)\n return makeShort(price, atrVal * 1.5, `Social buzz spike — bearish`, `Volume ${(lastVol / avgVol).toFixed(1)}x average`);\n break;\n }\n // --- TIMING ---\n case \"4B-021\": { // London Breakout (proxy: range breakout)\n const range = candles.slice(-12);\n const high = Math.max(...range.map(c => c.high));\n const low = Math.min(...range.map(c => c.low));\n if (price > high * 0.999 && price > prevCandle.close)\n return makeLong(price, atrVal * 1.5, `London session breakout`, `Broke session high ${high.toFixed(2)}`);\n if (price < low * 1.001 && price < prevCandle.close)\n return makeShort(price, atrVal * 1.5, `London session breakout`, `Broke session low ${low.toFixed(2)}`);\n break;\n }\n case \"4B-022\": { // NY Momentum\n const ema9 = EMA(closes, 9), ema21 = EMA(closes, 21);\n const i = candles.length - 1;\n if (valAt(ema9, i) > valAt(ema21, i) && indicators.rsi < 65 && indicators.adx > 20)\n return makeLong(price, atrVal * 1.5, `NY session momentum — bullish`, `EMA9 > EMA21, ADX > 20`);\n if (valAt(ema9, i) < valAt(ema21, i) && indicators.rsi > 35 && indicators.adx > 20)\n return makeShort(price, atrVal * 1.5, `NY session momentum — bearish`, `EMA9 < EMA21, ADX > 20`);\n break;\n }\n case \"4C-023\": { // Scalper\n const ema9 = EMA(closes, 9), ema21 = EMA(closes, 21);\n const i = candles.length - 1;\n const rsi7 = RSI(closes, 7);\n if (valAt(ema9, i) > valAt(ema21, i) && valAt(rsi7, i) < 70 && valAt(ema9, i - 1) <= valAt(ema21, i - 1))\n return makeLong(price, atrVal, `Scalp signal — EMA cross up`, `RSI7: ${valAt(rsi7, i).toFixed(1)}`);\n if (valAt(ema9, i) < valAt(ema21, i) && valAt(rsi7, i) > 30 && valAt(ema9, i - 1) >= valAt(ema21, i - 1))\n return makeShort(price, atrVal, `Scalp signal — EMA cross down`, `RSI7: ${valAt(rsi7, i).toFixed(1)}`);\n break;\n }\n case \"4D-024\": { // Swing Trader\n const i = candles.length - 1;\n const swingLow = Math.min(...candles.slice(-10, -1).map(c => c.low));\n const swingHigh = Math.max(...candles.slice(-10, -1).map(c => c.high));\n if (price > swingLow && price > indicators.sma50 && candles[i].close > candles[i].open)\n return makeLong(price, atrVal * 2, `Swing low confirmed`, `Price above swing low ${swingLow.toFixed(2)} and SMA50`);\n if (price < swingHigh && price < indicators.sma50 && candles[i].close < candles[i].open)\n return makeShort(price, atrVal * 2, `Swing high confirmed`, `Price below swing high ${swingHigh.toFixed(2)} and SMA50`);\n break;\n }\n case \"4D-025\": { // Weekly Position\n const ema20 = EMA(closes, 20);\n const i = candles.length - 1;\n const prevClose = closes[i - 1];\n if (prevClose <= valAt(ema20, i - 1) && closes[i] > valAt(ema20, i))\n return makeLong(price, atrVal * 3, `Weekly close above EMA20`, `Position trade — long-term bullish`);\n if (prevClose >= valAt(ema20, i - 1) && closes[i] < valAt(ema20, i))\n return makeShort(price, atrVal * 3, `Weekly close below EMA20`, `Position trade — long-term bearish`);\n break;\n }\n // --- SPECIAL OPS ---\n case \"5-026\": { // SMC Order Block\n // Find recent strong move candle as order block\n const lookback = candles.slice(-50, -5);\n let bullOB = 0, bearOB = Infinity;\n for (const c of lookback) {\n if (c.close - c.open > atrVal * 1.5 && c.open < bullOB * 0.999) bullOB = c.low;\n if (c.open - c.close > atrVal * 1.5 && c.open > bearOB * 1.001) bearOB = c.high;\n }\n if (bullOB > 0 && price > bullOB && price < bullOB + atrVal * 2 && indicators.rsi < 55)\n return makeLong(price, atrVal * 2, `Bullish order block respected`, `OB level: ${bullOB.toFixed(2)}`);\n if (bearOB < Infinity && price < bearOB && price > bearOB - atrVal * 2 && indicators.rsi > 45)\n return makeShort(price, atrVal * 2, `Bearish order block respected`, `OB level: ${bearOB.toFixed(2)}`);\n break;\n }\n case \"7-027\": { // FVG\n const i = candles.length - 1;\n if (i >= 2) {\n const c1 = candles[i - 2], c2 = candles[i - 1], c3 = candles[i];\n const bullFVG = c3.low > c1.high; // Gap up\n const bearFVG = c3.high < c1.low; // Gap down\n if (bullFVG && c3.close > c3.open)\n return makeLong(price, atrVal * 2, `Bullish Fair Value Gap`, `Gap: ${c1.high.toFixed(2)} to ${c3.low.toFixed(2)}`);\n if (bearFVG && c3.close < c3.open)\n return makeShort(price, atrVal * 2, `Bearish Fair Value Gap`, `Gap: ${c1.low.toFixed(2)} to ${c3.high.toFixed(2)}`);\n }\n break;\n }\n case \"8-028\": { // Risk Parity (proxy: low volatility entry)\n const atrAvg = atrVal;\n const recentRanges = candles.slice(-20).map(c => c.high - c.low);\n const avgRange = recentRanges.reduce((s, r) => s + r, 0) / recentRanges.length;\n if (atrVal < avgRange * 0.8 && price > indicators.sma50)\n return makeLong(price, atrVal * 2, `Low-vol entry — risk parity`, `ATR below average, favorable risk`);\n if (atrVal < avgRange * 0.8 && price < indicators.sma50)\n return makeShort(price, atrVal * 2, `Low-vol entry — risk parity`, `ATR below average, favorable risk`);\n break;\n }\n case \"13-029\": { // Regime Adaptive\n if (indicators.adx > 25) {\n // Trending regime — follow trend\n if (indicators.plusDI > indicators.minusDI && price > indicators.ema50)\n return makeLong(price, atrVal * 2, `Trending regime — follow trend up`, `ADX ${indicators.adx.toFixed(1)}, +DI dominant`);\n if (indicators.minusDI > indicators.plusDI && price < indicators.ema50)\n return makeShort(price, atrVal * 2, `Trending regime — follow trend down`, `ADX ${indicators.adx.toFixed(1)}, -DI dominant`);\n } else if (indicators.adx < 20) {\n // Ranging regime — fade extremes\n if (price > indicators.bbUpper * 0.999)\n return makeShort(price, indicators.bbMiddle, `Ranging regime — fade upper band`, `ADX low, mean reversion`);\n if (price < indicators.bbLower * 1.001)\n return makeLong(price, indicators.bbMiddle, `Ranging regime — fade lower band`, `ADX low, mean reversion`);\n }\n break;\n }\n case \"14-030\": { // Volatility Breakout\n const atrArr = ATR(candles, 20);\n const atrAvg = atrArr.slice(-20, -1).reduce((s, v) => s + v, 0) / 19;\n const atrNow = lastVal(atrArr);\n const contracting = atrArr.length > 5 && atrArr.slice(-5).every((v, i, arr) => i === 0 || v <= arr[i - 1]);\n if (contracting && atrNow > atrAvg * 1.5) {\n if (price > prevCandle.close)\n return makeLong(price, atrVal * 1.5, `Volatility breakout — expansion up`, `ATR ${(atrNow / atrAvg).toFixed(1)}x average after contraction`);\n if (price < prevCandle.close)\n return makeShort(price, atrVal * 1.5, `Volatility breakout — expansion down`, `ATR ${(atrNow / atrAvg).toFixed(1)}x average after contraction`);\n }\n break;\n }\n }\n return null;\n}\n\nfunction makeLong(entry: number, stopDist: number, ...details: string[]): BattalionSignal {\n const stop = entry - stopDist;\n const risk = entry - stop;\n const target1 = entry + risk * 2;\n const target2 = entry + risk * 3;\n return { direction: \"LONG\", entry, stop, target1, target2, riskReward: 2.5, details, confidence: 0.7 };\n}\n\nfunction makeShort(entry: number, stopDist: number, ...details: string[]): BattalionSignal {\n const stop = entry + stopDist;\n const risk = stop - entry;\n const target1 = entry - risk * 2;\n const target2 = entry - risk * 3;\n return { direction: \"SHORT\", entry, stop, target1, target2, riskReward: 2.5, details, confidence: 0.7 };\n}\n",[],[138,219],["D",1784661571011],[158,159,160,161,162,163,164,165],[138],["D",1784661473084],["D",1789473046147],{"_105":104,"_113":109},{"_105":104,"_106":107,"_108":109,"_19":60,"_110":111,"_112":30},{"_13":94,"_37":95,"_48":47,"_96":49,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":50,"_103":104},"ctx",{"_87":-5,"_133":267,"_268":269,"_270":271,"_272":30,"_273":30,"_274":30,"_275":64,"_276":-5,"_277":-7,"_278":-7,"_279":68,"_280":30,"_281":30,"_282":-5,"_283":30,"_284":30,"_285":30,"_286":-5},"ENV",{"_238":239,"_240":241,"_242":95,"_243":244,"_245":246,"_247":248,"_249":250,"_251":252,"_253":254,"_255":256,"_257":258,"_259":260,"_261":262,"_263":264,"_265":266},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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