Gold Protection Bot

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Gold Protection Bot — HTTP API + dashboard server.\nimport { Hono } from \"npm:hono@4\";\nimport { parseVal, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { fetchCandles, fetchQuote, INTERVALS, type Interval } from \"./src/lib/market.ts\";\nimport { runProtectionPipeline, checkOpenTrades } from \"./src/lib/pipeline.ts\";\nimport { sendTelegramMessage } from \"./src/lib/telegram.ts\";\nimport { generateBotResponse } from \"./src/lib/chat.ts\";\nimport { runProtection } from \"./src/lib/protection.ts\";\nimport { analyze } from \"./src/lib/analysis.ts\";\nimport {\n getSettings, getTelegram, listSignals, listProtection,\n listTrades, getOpenTrades, openTrade, closeTrade,\n saveChat, listChat, updateSettings,\n} from \"./src/lib/db.ts\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\nconst json = (data: unknown, status = 200) =>\n new Response(JSON.stringify(data), { status, headers: { \"Content-Type\": \"application/json\" } });\n\n// ---------- Market data ----------\napp.get(\"/api/market-data\", async (c) => {\n const settings = await getSettings();\n if (!settings.hasApiKey) return json({ error: \"No API key configured\" }, 400);\n const interval = (c.req.query(\"interval\") ?? \"5min\") as Interval;\n const what = c.req.query(\"type\") ?? \"candles\";\n try {\n if (what === \"quote\") return json(await fetchQuote(settings.apiKey));\n const outputsize = Number(c.req.query(\"outputsize\") ?? \"200\");\n const candles = await fetchCandles(settings.apiKey, interval, outputsize);\n return json({ interval, candles });\n } catch (e) {\n return json({ error: String(e) }, 502);\n }\n});\n\napp.get(\"/api/intervals\", (c) => json([...INTERVALS]));\n\n// ---------- Protection check ----------\napp.post(\"/api/protect\", async (c) => {\n const r = await runProtectionPipeline();\n return json(r, r.ok ? 200 : 400);\n});\n\n// ---------- Source bot signals (fetch from external URL) ----------\napp.get(\"/api/source-signals\", async (c) => {\n const settings = await getSettings();\n if (!settings.sourceBotUrl) return json([]);\n try {\n const res = await fetch(`${settings.sourceBotUrl}/api/bot/signals?limit=10`);\n if (!res.ok) return json([]);\n const data = await res.json();\n return json(data);\n } catch {\n return json([]);\n }\n});\n\n// ---------- Signals ----------\napp.get(\"/api/signals\", async (c) => {\n const limit = Number(c.req.query(\"limit\") ?? \"50\");\n return json(await listSignals(limit));\n});\n\n// ---------- Protection alerts ----------\napp.get(\"/api/protection\", async (c) => {\n const limit = Number(c.req.query(\"limit\") ?? \"50\");\n return json(await listProtection(limit));\n});\n\n// ---------- Demo trades ----------\napp.get(\"/api/trades\", async (c) => {\n return json(await listTrades(100));\n});\n\napp.get(\"/api/trades/open\", async (c) => {\n return json(await getOpenTrades());\n});\n\napp.post(\"/api/trades/open\", async (c) => {\n const b = await c.req.json();\n const settings = await getSettings();\n const id = await openTrade({\n direction: b.direction,\n entry: b.entry,\n stopLoss: b.stopLoss,\n takeProfit: b.takeProfit,\n size: Number(b.size ?? 0.1),\n source: b.source ?? \"MANUAL\",\n note: b.note ?? \"\",\n });\n return json({ id });\n});\n\napp.post(\"/api/trades/:id/close\", async (c) => {\n const id = Number(c.req.param(\"id\"));\n const b = await c.req.json().catch(() => ({}));\n const settings = await getSettings();\n let closePrice = b.price;\n if (!closePrice && settings.hasApiKey) {\n const q = await fetchQuote(settings.apiKey).catch(() => null);\n if (q) closePrice = q.price;\n }\n if (!closePrice) return json({ error: \"No close price available\" }, 400);\n await closeTrade(id, closePrice, b.status ?? \"CLOSED_MANUAL\");\n return json({ ok: true, closePrice });\n});\n\napp.post(\"/api/trades/check\", async (c) => {\n const r = await checkOpenTrades();\n return json(r);\n});\n\n// ---------- Chat ----------\napp.get(\"/api/chat\", async (c) => {\n return json(await listChat(100));\n});\n\napp.post(\"/api/chat\", async (c) => {\n const b = await c.req.json();\n const userText = b.text as string;\n if (!userText?.trim()) return json({ error: \"Empty message\" }, 400);\n\n // Save user message\n await saveChat(\"user\", userText);\n\n // Build chat context\n const settings = await getSettings();\n let candles: any[] = [];\n let candles1h: any[] = [];\n let protection: any = null;\n let sourceSignals: any[] = [];\n\n if (settings.hasApiKey) {\n try {\n [candles, candles1h] = await Promise.all([\n fetchCandles(settings.apiKey, \"5min\", 250),\n fetchCandles(settings.apiKey, \"1h\", 150),\n ]);\n } catch {}\n }\n\n const openTrades = await getOpenTrades();\n const recentSignals = await listSignals(1);\n const latestSignal = recentSignals[0];\n\n // Fetch source signals\n if (settings.sourceBotUrl) {\n try {\n const res = await fetch(`${settings.sourceBotUrl}/api/bot/signals?limit=5`);\n if (res.ok) sourceSignals = await res.json();\n } catch {}\n }\n\n // Run protection if we have data\n if (candles.length >= 60) {\n protection = runProtection(candles, candles1h, {\n openTrades,\n signalDirection: latestSignal?.direction ?? \"NEUTRAL\",\n signalEntry: latestSignal?.entry ?? 0,\n signalSL: latestSignal?.stopLoss ?? 0,\n });\n }\n\n const botReply = generateBotResponse(userText, {\n candles, candles1h, openTrades, protection,\n signalDirection: latestSignal?.direction ?? \"NEUTRAL\",\n signalEntry: latestSignal?.entry ?? 0,\n signalSL: latestSignal?.stopLoss ?? 0,\n sourceSignals,\n });\n\n await saveChat(\"bot\", botReply);\n return json({ reply: botReply });\n});\n\n// ---------- Settings ----------\napp.get(\"/api/settings\", async (c) => {\n const s = await getSettings();\n const { apiKey: _omit, ...safe } = s;\n return json(safe);\n});\n\napp.patch(\"/api/settings\", async (c) => {\n await updateSettings(await c.req.json());\n return json({ ok: true });\n});\n\n// ---------- Telegram ----------\napp.get(\"/api/telegram\", async (c) => {\n const t = await getTelegram();\n const { botToken: _omit, ...safe } = t;\n return json(safe);\n});\n\napp.patch(\"/api/telegram\", async (c) => {\n const { updateTelegram } = await import(\"./src/lib/db.ts\");\n await updateTelegram(await c.req.json());\n return json({ ok: true });\n});\n\napp.post(\"/api/telegram/test\", async (c) => {\n const t = await getTelegram();\n if (!t.hasToken || !t.chatId) return json({ ok: false, error: \"Configure bot token and chat ID first\" }, 400);\n const r = await sendTelegramMessage(\n t.botToken, t.chatId,\n \"🛡️ Gold Protection Bot connected!\\nYou'll receive stop loss reversal alerts here.\",\n );\n return json(r, r.ok ? 200 : 400);\n});\n\n// ---------- View source ----------\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// ---------- Static dashboard ----------\napp.get(\"/\", async () => serveFile(\"./src/frontend/index.html\", import.meta.url));\n\nexport 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Shared types for the Gold Protection Bot.\n\nexport interface Candle {\n time: number;\n open: number;\n high: number;\n low: number;\n close: number;\n volume: number;\n}\n\nexport type Direction = \"BUY\" | \"SELL\" | \"NEUTRAL\";\n\nexport interface AnalysisFactor {\n name: string;\n side: \"bullish\" | \"bearish\" | \"neutral\";\n weight: number;\n detail: string;\n}\n\nexport type ProtectionLevel = \"SAFE\" | \"CAUTION\" | \"DANGER\" | \"CRITICAL\";\n\nexport type ReversalType =\n | \"SL_APPROACH\" // price heading toward SL\n | \"DIVERGENCE\" // RSI/MACD divergence against position\n | \"STRUCTURE_BREAK\" // market structure broke against position\n | \"LIQUIDITY_SWEEP\" // liquidity swept — reversal likely\n | \"PATTERN_REVERSAL\" // reversal candlestick pattern\n | \"MOMENTUM_SHIFT\" // momentum shifted against position\n | \"TREND_FLIP\"; // EMA trend flipped\n\nexport interface ReversalSignal {\n type: ReversalType;\n severity: ProtectionLevel;\n message: string;\n detail: string;\n}\n\nexport interface ProtectionResult {\n level: ProtectionLevel;\n score: number; // 0-100, higher = more danger\n signals: ReversalSignal[];\n price: number;\n distanceToSL: number | null; // in price units\n distanceToSLPct: number | null; // as % of price\n recommendedAction: \"HOLD\" | \"TIGHTEN_SL\" | \"CLOSE_NOW\" | \"REVERSE\";\n reasoning: string[];\n timestamp: number;\n}\n\nexport interface AnalysisResult {\n direction: Direction;\n confidence: number;\n entry: number;\n stopLoss: number;\n takeProfits: [number, number, number];\n riskRewardRatios: [number, number, number];\n atr: number;\n bullishScore: number;\n bearishScore: number;\n factors: AnalysisFactor[];\n session: TradingSession;\n reasoning: string[];\n timestamp: number;\n}\n\nexport type TradingSession =\n | \"London\"\n | \"NY-London Overlap\"\n | \"New York\"\n | \"Asian/Low Liquidity\";\n\n// ---------- Demo Trading ----------\nexport interface DemoTrade {\n id: number;\n direction: Direction;\n entry: number;\n stopLoss: number;\n takeProfit: number;\n size: number; // lot size\n status: \"OPEN\" | \"CLOSED_WIN\" | \"CLOSED_LOSS\" | \"CLOSED_MANUAL\";\n closePrice: number | null;\n pnl: number | null;\n openedAt: number;\n closedAt: number | null;\n source: \"MANUAL\" | \"AUTO\";\n note: string;\n}\n\n// ---------- Chat ----------\nexport interface ChatMessage {\n id: number;\n role: \"user\" | \"bot\";\n text: string;\n timestamp: number;\n metadata?: string; // JSON string for extra data\n}\n\nexport interface SourceSignal {\n id: number;\n direction: string;\n confidence: number;\n entry: number;\n stopLoss: number;\n takeProfits: number[];\n session: string;\n createdAt: number;\n status: string;\n}\n\nexport interface CustomStrategy {\n id: number;\n name: string;\n description: string;\n side: \"bullish\" | \"bearish\";\n weight: number;\n active: boolean;\n condition: StrategyCondition;\n}\n\nexport interface StrategyCondition {\n indicator: \"rsi\" | \"ema_trend\" | \"macd_hist\" | \"price_vs_ema200\";\n operator: \"<\" | \">\" | \"==\";\n value: number;\n}\n",[],[150,206,197],"lib","9e5cde69-b12b-4906-bb76-58b78a615b44","telegram.ts","77bfa0aa-7d76-11f1-94da-1607ee4eb77e",4,["D",1783808319363],"// Telegram notifier for protection alerts + signals.\nimport type { AnalysisResult, ProtectionResult } from \"./types.ts\";\n\nexport async function sendTelegramMessage(\n botToken: string,\n chatId: string,\n text: string,\n): Promise<{ ok: boolean; error?: string }> {\n if (!botToken || !chatId) return { ok: false, error: \"Missing bot token or chat ID\" };\n try {\n const res = await fetch(`https://api.telegram.org/bot${botToken}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n chat_id: chatId,\n text,\n parse_mode: \"HTML\",\n disable_web_page_preview: true,\n }),\n });\n const json = await res.json();\n if (!json.ok) return { ok: false, error: json.description ?? \"Telegram API error\" };\n return { ok: true };\n } catch (e) {\n return { ok: false, error: String(e) };\n }\n}\n\nexport function formatProtectionMessage(p: ProtectionResult): string {\n const emojis: Record = {\n SAFE: \"✅\", CAUTION: \"⚠️\", DANGER: \"🛑\", CRITICAL: \"🚨\",\n };\n const actions: Record = {\n HOLD: \"HOLD position\", TIGHTEN_SL: \"TIGHTEN stop loss\",\n CLOSE_NOW: \"CLOSE position now\", REVERSE: \"Consider REVERSING\",\n };\n const lines = [\n `${emojis[p.level]} Protection Alert: ${p.level}`,\n `Risk Score: ${p.score}/100`,\n `Action: ${actions[p.recommendedAction]}`,\n ``,\n ];\n if (p.distanceToSLPct !== null) {\n lines.push(`Distance to SL: ${p.distanceToSL.toFixed(2)} (${p.distanceToSLPct.toFixed(2)}%)`);\n }\n lines.push(``, `Warnings:`);\n for (const s of p.signals.slice(0, 6)) {\n lines.push(`• ${s.message}`);\n }\n lines.push(``, `Gold Protection Bot — minimize your losses.`);\n return lines.join(\"\\n\");\n}\n\nexport function formatSignalMessage(a: AnalysisResult): string {\n const emoji = a.direction === \"BUY\" ? \"🟢\" : a.direction === \"SELL\" ? \"🔴\" : \"⚪\";\n const arrow = a.direction === \"BUY\" ? \"▲\" : a.direction === \"SELL\" ? \"▼\" : \"■\";\n const lines = [\n `${emoji} XAU/USD ${a.direction} ${arrow}`,\n `Confidence: ${a.confidence}%`,\n `Session: ${a.session}`,\n ``,\n `Entry: ${a.entry}`,\n `Stop Loss: ${a.stopLoss}`,\n `TP1 (${a.riskRewardRatios[0]}R): ${a.takeProfits[0]}`,\n `TP2 (${a.riskRewardRatios[1]}R): ${a.takeProfits[1]}`,\n `TP3 (${a.riskRewardRatios[2]}R): ${a.takeProfits[2]}`,\n `ATR: ${a.atr}`,\n ``,\n `Score: 🟢 ${a.bullishScore} / 🔴 ${a.bearishScore}`,\n ``,\n `Why:`,\n ...a.reasoning.slice(0, 6).map((r) => `• ${r}`),\n ``,\n `Gold Protection Bot — trade smart.`,\n ];\n return lines.join(\"\\n\");\n}\n",[],[150,206,208],"91e506e3-c026-440d-934d-a2daf81c805f","protection.ts","9a378b5c-7d76-11f1-a4b9-1607ee4eb77e",9,["D",1783808377108],"// Stop Loss Reversal Detection Engine — the core protection logic.\n// Analyzes live candles + open positions to detect early reversal signals.\nimport type {\n Candle, Direction, ProtectionLevel, ProtectionResult,\n ReversalSignal, ReversalType, DemoTrade,\n} from \"./types.ts\";\nimport { atr, ema, last, macd, rsi, swingPoints } from \"./indicators.ts\";\nimport { detectPatterns } from \"./patterns.ts\";\n\nconst SEVERITY: Record = { SAFE: 0, CAUTION: 25, DANGER: 60, CRITICAL: 85 };\n\nfunction levelFromScore(score: number): ProtectionLevel {\n if (score >= 85) return \"CRITICAL\";\n if (score >= 60) return \"DANGER\";\n if (score >= 25) return \"CAUTION\";\n return \"SAFE\";\n}\n\nexport function getSession(date = new Date()) {\n const h = date.getUTCHours();\n if (h >= 13 && h < 16) return \"NY-London Overlap\";\n if (h >= 7 && h < 13) return \"London\";\n if (h >= 16 && h < 21) return \"New York\";\n return \"Asian/Low Liquidity\";\n}\n\ninterface ProtectionContext {\n /** Open demo trades — if any, we check price vs their SL/TP */\n openTrades: DemoTrade[];\n /** Direction of the last signal (from source bot or our own) */\n signalDirection: Direction;\n /** Signal entry + SL from the latest signal */\n signalEntry: number;\n signalSL: number;\n}\n\nexport function runProtection(\n candles: Candle[],\n candles1h: Candle[],\n ctx: ProtectionContext,\n now = new Date(),\n): ProtectionResult {\n const signals: ReversalSignal[] = [];\n let score = 0;\n const closes = candles.map((c) => c.close);\n const price = last(closes);\n const reasoning: string[] = [];\n\n const ema20 = last(ema(closes, 20));\n const ema50 = last(ema(closes, 50));\n const ema200 = last(ema(closes, 200));\n const rsiv = last(rsi(closes, 14));\n const macdArr = macd(closes);\n const mp = last(macdArr);\n const mpPrev = macdArr[macdArr.length - 2];\n const atrv = last(atr(candles, 14)) || price * 0.002;\n const swings = swingPoints(candles, 2);\n\n // Determine the \"position direction\" — either from open trades or the latest signal\n const hasOpenTrades = ctx.openTrades.length > 0;\n const positionDir: Direction = hasOpenTrades\n ? ctx.openTrades[0].direction\n : ctx.signalDirection;\n\n // For open trades, check distance to SL\n let distanceToSL: number | null = null;\n let distanceToSLPct: number | null = null;\n if (hasOpenTrades) {\n const t = ctx.openTrades[0];\n distanceToSL = Math.abs(price - t.stopLoss);\n distanceToSLPct = (distanceToSL / price) * 100;\n // If price is within 0.3% of SL → critical danger\n if (distanceToSLPct < 0.3) {\n score += 85;\n signals.push({ type: \"SL_APPROACH\", severity: \"CRITICAL\",\n message: `Price ${distanceToSLPct.toFixed(2)}% from stop loss (${t.stopLoss})`,\n detail: \"Price is dangerously close to SL — exit or tighten now\" });\n reasoning.push(\"SL_APPROACH: Price within 0.3% of stop loss\");\n } else if (distanceToSLPct < 0.6) {\n score += 50;\n signals.push({ type: \"SL_APPROACH\", severity: \"DANGER\",\n message: `Price ${distanceToSLPct.toFixed(2)}% from stop loss (${t.stopLoss})`,\n detail: \"Price approaching SL — consider tightening\" });\n reasoning.push(\"SL_APPROACH: Price within 0.6% of SL\");\n } else if (distanceToSLPct < 1.0) {\n score += 20;\n signals.push({ type: \"SL_APPROACH\", severity: \"CAUTION\",\n message: `Price ${distanceToSLPct.toFixed(2)}% from stop loss (${t.stopLoss})`,\n detail: \"Monitor closely — price heading toward SL\" });\n reasoning.push(\"SL_APPROACH: Price within 1% of SL\");\n }\n } else if (ctx.signalDirection !== \"NEUTRAL\") {\n // No open trade but we have a signal — check if price is moving against the signal\n distanceToSL = Math.abs(price - ctx.signalSL);\n distanceToSLPct = (distanceToSL / price) * 100;\n }\n\n // --- Trend flip detection ---\n if (!Number.isNaN(ema20) && !Number.isNaN(ema50)) {\n const wasBullish = ema20 > ema50;\n // Check if EMA20 crossed EMA50 recently\n const ema20Arr = ema(closes, 20);\n const ema50Arr = ema(closes, 50);\n const prevDiff = ema20Arr[ema20Arr.length - 3] - ema50Arr[ema50Arr.length - 3];\n const curDiff = ema20 - ema50;\n const crossedDown = prevDiff > 0 && curDiff < 0;\n const crossedUp = prevDiff < 0 && curDiff > 0;\n\n if (positionDir === \"BUY\" && crossedDown) {\n score += 70;\n signals.push({ type: \"TREND_FLIP\", severity: \"DANGER\",\n message: \"EMA20 crossed below EMA50 — trend flipping bearish\",\n detail: \"Bullish trend has reversed to bearish\" });\n reasoning.push(\"TREND_FLIP: EMA20/50 bearish crossover against BUY position\");\n }\n if (positionDir === \"SELL\" && crossedUp) {\n score += 70;\n signals.push({ type: \"TREND_FLIP\", severity: \"DANGER\",\n message: \"EMA20 crossed above EMA50 — trend flipping bullish\",\n detail: \"Bearish trend has reversed to bullish\" });\n reasoning.push(\"TREND_FLIP: EMA20/50 bullish crossover against SELL position\");\n }\n }\n\n // --- EMA 200 bias flip ---\n if (!Number.isNaN(ema200)) {\n if (positionDir === \"BUY\" && price < ema200) {\n score += 30;\n signals.push({ type: \"TREND_FLIP\", severity: \"CAUTION\",\n message: \"Price now below EMA200 — long-term bias turned bearish\",\n detail: \"Price below 200 EMA\" });\n reasoning.push(\"TREND_FLIP: Price below EMA200 against BUY position\");\n }\n if (positionDir === \"SELL\" && price > ema200) {\n score += 30;\n signals.push({ type: \"TREND_FLIP\", severity: \"CAUTION\",\n message: \"Price now above EMA200 — long-term bias turned bullish\",\n detail: \"Price above 200 EMA\" });\n reasoning.push(\"TREND_FLIP: Price above EMA200 against SELL position\");\n }\n }\n\n // --- Momentum shift: MACD histogram changing direction against position ---\n if (mp && !Number.isNaN(mp.histogram) && mpPrev && !Number.isNaN(mpPrev.histogram)) {\n const histDecel = Math.abs(mp.histogram) < Math.abs(mpPrev.histogram);\n const histFlip = (mp.histogram > 0 && mpPrev.histogram <= 0) || (mp.histogram < 0 && mpPrev.histogram >= 0);\n if (positionDir === \"BUY\" && (histDecel && mp.histogram < mpPrev.histogram)) {\n score += 25;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"CAUTION\",\n message: \"MACD histogram decelerating — bullish momentum weakening\",\n detail: `MACD hist: ${mp.histogram.toFixed(3)} (was ${mpPrev.histogram.toFixed(3)})` });\n reasoning.push(\"MOMENTUM_SHIFT: MACD decelerating against BUY\");\n }\n if (positionDir === \"SELL\" && (histDecel && mp.histogram > mpPrev.histogram)) {\n score += 25;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"CAUTION\",\n message: \"MACD histogram rising — bearish momentum weakening\",\n detail: `MACD hist: ${mp.histogram.toFixed(3)} (was ${mpPrev.histogram.toFixed(3)})` });\n reasoning.push(\"MOMENTUM_SHIFT: MACD rising against SELL\");\n }\n if (positionDir === \"BUY\" && histFlip && mp.histogram < 0) {\n score += 40;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"DANGER\",\n message: \"MACD flipped negative — momentum fully reversed\",\n detail: \"MACD histogram crossed below zero\" });\n reasoning.push(\"MOMENTUM_SHIFT: MACD flipped negative against BUY\");\n }\n if (positionDir === \"SELL\" && histFlip && mp.histogram > 0) {\n score += 40;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"DANGER\",\n message: \"MACD flipped positive — momentum fully reversed\",\n detail: \"MACD histogram crossed above zero\" });\n reasoning.push(\"MOMENTUM_SHIFT: MACD flipped positive against SELL\");\n }\n }\n\n // --- RSI divergence: price making new extremes but RSI diverging ---\n if (!Number.isNaN(rsiv) && swings.length >= 4) {\n const rsiArr = rsi(closes, 14);\n if (positionDir === \"BUY\") {\n const lows = swings.filter((s) => s.type === \"low\").slice(-2);\n if (lows.length === 2 && lows[1].price < lows[0].price && rsiArr[lows[1].index] > rsiArr[lows[0].index]) {\n score += 45;\n signals.push({ type: \"DIVERGENCE\", severity: \"DANGER\",\n message: \"Bullish RSI divergence exhausted — price lower lows but RSI higher\",\n detail: \"RSI divergence often precedes reversal\" });\n reasoning.push(\"DIVERGENCE: Bearish RSI divergence against BUY position\");\n }\n }\n if (positionDir === \"SELL\") {\n const highs = swings.filter((s) => s.type === \"high\").slice(-2);\n if (highs.length === 2 && highs[1].price > highs[0].price && rsiArr[highs[1].index] < rsiArr[highs[0].index]) {\n score += 45;\n signals.push({ type: \"DIVERGENCE\", severity: \"DANGER\",\n message: \"Bearish RSI divergence exhausted — price higher highs but RSI lower\",\n detail: \"RSI divergence often precedes reversal\" });\n reasoning.push(\"DIVERGENCE: Bullish RSI divergence against SELL position\");\n }\n }\n // RSI extreme against position\n if (positionDir === \"BUY\" && rsiv > 75) {\n score += 20;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"CAUTION\",\n message: `RSI overbought (${rsiv.toFixed(0)}) — reversal risk`,\n detail: \"RSI above 75\" });\n reasoning.push(\"RSI overbought against BUY position\");\n }\n if (positionDir === \"SELL\" && rsiv < 25) {\n score += 20;\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"CAUTION\",\n message: `RSI oversold (${rsiv.toFixed(0)}) — reversal risk`,\n detail: \"RSI below 25\" });\n reasoning.push(\"RSI oversold against SELL position\");\n }\n }\n\n // --- Market structure break ---\n const highs = swings.filter((s) => s.type === \"high\").slice(-3);\n const lows = swings.filter((s) => s.type === \"low\").slice(-3);\n if (highs.length >= 2 && lows.length >= 2) {\n const hh = highs[highs.length - 1].price > highs[highs.length - 2].price;\n const hl = lows[lows.length - 1].price > lows[lows.length - 2].price;\n const lh = highs[highs.length - 1].price < highs[highs.length - 2].price;\n const ll = lows[lows.length - 1].price < lows[lows.length - 2].price;\n if (positionDir === \"BUY\" && lh && ll) {\n score += 55;\n signals.push({ type: \"STRUCTURE_BREAK\", severity: \"DANGER\",\n message: \"Market structure shifted to LH/LL — downtrend confirmed\",\n detail: \"Lower highs + lower lows\" });\n reasoning.push(\"STRUCTURE_BREAK: LH/LL structure against BUY position\");\n }\n if (positionDir === \"SELL\" && hh && hl) {\n score += 55;\n signals.push({ type: \"STRUCTURE_BREAK\", severity: \"DANGER\",\n message: \"Market structure shifted to HH/HL — uptrend confirmed\",\n detail: \"Higher highs + higher lows\" });\n reasoning.push(\"STRUCTURE_BREAK: HH/HL structure against SELL position\");\n }\n }\n\n // --- Liquidity sweep detection ---\n const cur = last(candles);\n const recentHighs = swings.filter((s) => s.type === \"high\").slice(-4);\n const recentLows = swings.filter((s) => s.type === \"low\").slice(-4);\n let bullishSweep = false;\n let bearishSweep = false;\n for (const lo of recentLows) {\n if (cur.low < lo.price && cur.close > lo.price && cur.close > cur.open) bullishSweep = true;\n }\n for (const hi of recentHighs) {\n if (cur.high > hi.price && cur.close < hi.price && cur.close < cur.open) bearishSweep = true;\n }\n if (positionDir === \"BUY\" && bearishSweep) {\n score += 50;\n signals.push({ type: \"LIQUIDITY_SWEEP\", severity: \"DANGER\",\n message: \"Buy-side liquidity swept — price took out highs then reversed down\",\n detail: \"Bearish liquidity sweep\" });\n reasoning.push(\"LIQUIDITY_SWEEP: Buy-side liquidity swept against BUY\");\n }\n if (positionDir === \"SELL\" && bullishSweep) {\n score += 50;\n signals.push({ type: \"LIQUIDITY_SWEEP\", severity: \"DANGER\",\n message: \"Sell-side liquidity swept — price took out lows then reversed up\",\n detail: \"Bullish liquidity sweep\" });\n reasoning.push(\"LIQUIDITY_SWEEP: Sell-side liquidity swept against SELL\");\n }\n\n // --- Reversal candlestick patterns ---\n for (const pat of detectPatterns(candles)) {\n if (positionDir === \"BUY\" && pat.side === \"bearish\") {\n score += 20;\n signals.push({ type: \"PATTERN_REVERSAL\", severity: \"CAUTION\",\n message: `Bearish candlestick pattern: ${pat.name}`,\n detail: `${pat.name} detected` });\n reasoning.push(`PATTERN_REVERSAL: ${pat.name} against BUY position`);\n }\n if (positionDir === \"SELL\" && pat.side === \"bullish\") {\n score += 20;\n signals.push({ type: \"PATTERN_REVERSAL\", severity: \"CAUTION\",\n message: `Bullish candlestick pattern: ${pat.name}`,\n detail: `${pat.name} detected` });\n reasoning.push(`PATTERN_REVERSAL: ${pat.name} against SELL position`);\n }\n }\n\n // --- Higher TF bias conflict ---\n if (candles1h.length >= 50) {\n const h = candles1h.map((c) => c.close);\n const he20 = last(ema(h, 20));\n const he50 = last(ema(h, 50));\n if (!Number.isNaN(he20) && !Number.isNaN(he50)) {\n if (positionDir === \"BUY\" && he20 < he50) {\n score += 25;\n signals.push({ type: \"TREND_FLIP\", severity: \"CAUTION\",\n message: \"1H trend is bearish — conflicts with your BUY position\",\n detail: \"1H EMA20 below EMA50\" });\n reasoning.push(\"1H bias bearish against BUY\");\n }\n if (positionDir === \"SELL\" && he20 > he50) {\n score += 25;\n signals.push({ type: \"TREND_FLIP\", severity: \"CAUTION\",\n message: \"1H trend is bullish — conflicts with your SELL position\",\n detail: \"1H EMA20 above EMA50\" });\n reasoning.push(\"1H bias bullish against SELL\");\n }\n }\n }\n\n // --- Session risk ---\n const session = getSession(now);\n if (session === \"Asian/Low Liquidity\") {\n score += 10;\n reasoning.push(\"Low-liquidity session: increased reversal risk\");\n signals.push({ type: \"MOMENTUM_SHIFT\", severity: \"CAUTION\",\n message: \"Low-liquidity session — moves can be erratic\",\n detail: \"Asian session\" });\n }\n\n // Cap score at 100\n score = Math.min(100, score);\n const level = levelFromScore(score);\n\n // Recommended action\n let action: ProtectionResult[\"recommendedAction\"] = \"HOLD\";\n if (score >= 85) action = \"REVERSE\";\n else if (score >= 60) action = \"CLOSE_NOW\";\n else if (score >= 25) action = \"TIGHTEN_SL\";\n\n if (reasoning.length === 0) {\n reasoning.push(\"All clear — no reversal signals detected. Position looks safe.\");\n }\n\n return {\n level, score, signals, price,\n distanceToSL, distanceToSLPct,\n recommendedAction: action,\n reasoning, timestamp: Math.floor(now.getTime() / 1000),\n };\n}\n",[],[150,206,216],"f51f8bc6-47d4-42d1-8c31-20a8d5cf5622","pipeline.ts","9a30b8e0-7d76-11f1-ba0e-1607ee4eb77e",8,["D",1783808377105],"// Full pipeline: fetch data → run protection check → persist → notify → auto-trade.\nimport { runProtection } from \"./protection.ts\";\nimport { fetchCandles, fetchQuote } from \"./market.ts\";\nimport { formatProtectionMessage, sendTelegramMessage, formatSignalMessage } from \"./telegram.ts\";\nimport {\n getSettings, getTelegram, getOpenTrades, saveProtection, saveSignal,\n listSignals, closeTrade, openTrade, saveChat,\n} from \"./db.ts\";\nimport { generateAutoAlert } from \"./chat.ts\";\nimport { analyze } from \"./analysis.ts\";\nimport type { ProtectionResult, AnalysisResult } from \"./types.ts\";\n\nexport interface PipelineResult {\n ok: boolean;\n error?: string;\n protection?: ProtectionResult;\n analysis?: AnalysisResult;\n protectionId?: number;\n signalId?: number;\n telegramSent: boolean;\n telegramError?: string;\n autoTraded: boolean;\n}\n\nconst LEVEL_ORDER = [\"SAFE\", \"CAUTION\", \"DANGER\", \"CRITICAL\"];\n\nexport async function runProtectionPipeline(): Promise {\n const settings = await getSettings();\n if (!settings.hasApiKey) {\n return { ok: false, error: \"No Twelve Data API key configured\", telegramSent: false, autoTraded: false };\n }\n\n let c5, c1h;\n try {\n [c5, c1h] = await Promise.all([\n fetchCandles(settings.apiKey, \"5min\", 250),\n fetchCandles(settings.apiKey, \"1h\", 150),\n ]);\n } catch (e) {\n return { ok: false, error: String(e), telegramSent: false, autoTraded: false };\n }\n if (c5.length < 60) {\n return { ok: false, error: \"Not enough 5min candles returned\", telegramSent: false, autoTraded: false };\n }\n\n // Get context: open trades + latest signal\n const openTrades = await getOpenTrades();\n const recentSignals = await listSignals(1);\n const latestSignal = recentSignals[0];\n\n // Run analysis (reuse the hybrid engine)\n const analysis = analyze(c5, c1h, { riskReward: settings.riskReward });\n\n // Run protection check\n const protection = runProtection(c5, c1h, {\n openTrades,\n signalDirection: latestSignal?.direction ?? analysis.direction,\n signalEntry: latestSignal?.entry ?? analysis.entry,\n signalSL: latestSignal?.stopLoss ?? analysis.stopLoss,\n });\n\n // Save protection alert\n const tg = await getTelegram();\n let telegramSent = false;\n let telegramError: string | undefined;\n\n // Check if this alert level meets the notification threshold\n const meetsThreshold = LEVEL_ORDER.indexOf(protection.level) >= LEVEL_ORDER.indexOf(tg.minAlertLevel);\n if (tg.hasToken && tg.chatId && tg.notifyProtection && meetsThreshold) {\n const r = await sendTelegramMessage(tg.botToken, tg.chatId, formatProtectionMessage(protection));\n telegramSent = r.ok;\n telegramError = r.error;\n }\n\n const protectionId = await saveProtection(protection, telegramSent);\n\n // Auto-chat: log critical alerts to chat\n if (protection.level === \"DANGER\" || protection.level === \"CRITICAL\") {\n await saveChat(\"bot\", generateAutoAlert(protection));\n }\n\n // Auto-trade logic: if auto-trade is on, close losing positions or open new ones\n let autoTraded = false;\n if (settings.autoTrade) {\n // Close open trades if protection is DANGER/CRITICAL\n if (openTrades.length > 0 && (protection.level === \"DANGER\" || protection.level === \"CRITICAL\")) {\n const t = openTrades[0];\n const quote = await fetchQuote(settings.apiKey).catch(() => null);\n if (quote) {\n await closeTrade(t.id, quote.price, \"CLOSED_LOSS\");\n await saveChat(\"bot\", `🤖 AUTO-CLOSED trade #${t.id} at ${quote.price.toFixed(2)} — protection level ${protection.level}`);\n autoTraded = true;\n }\n }\n // Open a new trade if no open positions and we have a strong signal\n if (openTrades.length === 0 && analysis.direction !== \"NEUTRAL\" && analysis.confidence >= 60 && protection.score < 25) {\n const risk = Math.abs(analysis.entry - analysis.stopLoss);\n const tp = analysis.direction === \"BUY\"\n ? analysis.entry + risk * settings.riskReward[0]\n : analysis.entry - risk * settings.riskReward[0];\n const id = await openTrade({\n direction: analysis.direction,\n entry: analysis.entry,\n stopLoss: analysis.stopLoss,\n takeProfit: tp,\n size: 0.1,\n source: \"AUTO\",\n note: `Auto-opened: ${analysis.confidence}% confidence, protection score ${protection.score}`,\n });\n await saveChat(\"bot\", `🤖 AUTO-OPENED ${analysis.direction} trade #${id} at ${analysis.entry} — SL ${analysis.stopLoss}, TP ${tp.toFixed(2)}`);\n if (tg.hasToken && tg.chatId && tg.notifyTrades) {\n await sendTelegramMessage(tg.botToken, tg.chatId,\n `🤖 Auto-trade opened: ${analysis.direction} at ${analysis.entry} (SL: ${analysis.stopLoss}, TP: ${tp.toFixed(2)})`);\n }\n autoTraded = true;\n }\n }\n\n // Also save the signal\n let signalId: number | undefined;\n let signalTelegramSent = false;\n if (analysis.direction !== \"NEUTRAL\") {\n if (tg.hasToken && tg.chatId && tg.notifySignals) {\n const r = await sendTelegramMessage(tg.botToken, tg.chatId, formatSignalMessage(analysis));\n signalTelegramSent = r.ok;\n }\n signalId = await saveSignal(analysis, signalTelegramSent);\n }\n\n return {\n ok: true, protection, analysis, protectionId, signalId,\n telegramSent: telegramSent || signalTelegramSent,\n telegramError, autoTraded,\n };\n}\n\n// Check open trades against live price — auto-close if SL or TP hit\nexport async function checkOpenTrades(): Promise<{ closed: number; messages: string[] }> {\n const settings = await getSettings();\n if (!settings.hasApiKey) return { closed: 0, messages: [] };\n const openTrades = await getOpenTrades();\n if (openTrades.length === 0) return { closed: 0, messages: [] };\n\n let quote;\n try {\n quote = await fetchQuote(settings.apiKey);\n } catch {\n return { closed: 0, messages: [] };\n }\n\n const price = quote.price;\n let closed = 0;\n const messages: string[] = [];\n\n for (const t of openTrades) {\n let hitSL = false;\n let hitTP = false;\n if (t.direction === \"BUY\") {\n if (price <= t.stopLoss) hitSL = true;\n else if (price >= t.takeProfit) hitTP = true;\n } else {\n if (price >= t.stopLoss) hitSL = true;\n else if (price <= t.takeProfit) hitTP = true;\n }\n if (hitSL) {\n await closeTrade(t.id, t.stopLoss, \"CLOSED_LOSS\");\n messages.push(`📉 Trade #${t.id} hit stop loss at ${t.stopLoss}`);\n closed++;\n } else if (hitTP) {\n await closeTrade(t.id, t.takeProfit, \"CLOSED_WIN\");\n messages.push(`📈 Trade #${t.id} hit take profit at ${t.takeProfit}`);\n closed++;\n }\n }\n\n return { closed, messages };\n}\n",[],[150,206,224],"84c75377-6d4e-4f30-8879-8060d93d9513","patterns.ts","019f5341-e82c-752f-ba2a-7b0c15e4a4bb",["D",1783808256047],"// Candlestick pattern detection (11 patterns) on the most recent candles.\nimport type { Candle } from \"./types.ts\";\n\nexport interface PatternHit {\n name: string;\n side: \"bullish\" | \"bearish\";\n}\n\nconst body = (c: Candle) => Math.abs(c.close - c.open);\nconst range = (c: Candle) => c.high - c.low || 1e-9;\nconst upperWick = (c: Candle) => c.high - Math.max(c.open, c.close);\nconst lowerWick = (c: Candle) => Math.min(c.open, c.close) - c.low;\nconst isBull = (c: Candle) => c.close > c.open;\nconst isBear = (c: Candle) => c.close < c.open;\n\n// Evaluate patterns ending at the last candle.\nexport function detectPatterns(candles: Candle[]): PatternHit[] {\n const hits: PatternHit[] = [];\n const n = candles.length;\n if (n < 3) return hits;\n const c = candles[n - 1];\n const p = candles[n - 2];\n const p2 = candles[n - 3];\n const b = body(c);\n const r = range(c);\n\n // Doji\n if (b <= r * 0.1) hits.push({ name: \"Doji\", side: isBull(c) ? \"bullish\" : \"bearish\" });\n\n // Hammer (bullish): small body up top, long lower wick\n if (lowerWick(c) >= b * 2 && upperWick(c) <= b * 0.6 && b > 0) {\n hits.push({ name: \"Hammer\", side: \"bullish\" });\n }\n\n // Shooting Star (bearish): small body down low, long upper wick\n if (upperWick(c) >= b * 2 && lowerWick(c) <= b * 0.6 && b > 0) {\n hits.push({ name: \"Shooting Star\", side: \"bearish\" });\n }\n\n // Pin Bar (either side) — wick >= 66% of range\n if (lowerWick(c) >= r * 0.66) hits.push({ name: \"Bullish Pin Bar\", side: \"bullish\" });\n if (upperWick(c) >= r * 0.66) hits.push({ name: \"Bearish Pin Bar\", side: \"bearish\" });\n\n // Marubozu — body is nearly the whole range\n if (b >= r * 0.9) {\n hits.push({ name: \"Marubozu\", side: isBull(c) ? \"bullish\" : \"bearish\" });\n }\n\n // Bullish Engulfing\n if (isBear(p) && isBull(c) && c.close >= p.open && c.open <= p.close) {\n hits.push({ name: \"Bullish Engulfing\", side: \"bullish\" });\n }\n // Bearish Engulfing\n if (isBull(p) && isBear(c) && c.open >= p.close && c.close <= p.open) {\n hits.push({ name: \"Bearish Engulfing\", side: \"bearish\" });\n }\n\n // Morning Star (bullish reversal): big bear, small body, big bull\n if (\n isBear(p2) && body(p2) > range(p2) * 0.5 &&\n body(p) < range(p) * 0.4 &&\n isBull(c) && body(c) > range(c) * 0.5 &&\n c.close > (p2.open + p2.close) / 2\n ) {\n hits.push({ name: \"Morning Star\", side: \"bullish\" });\n }\n // Evening Star (bearish reversal)\n if (\n isBull(p2) && body(p2) > range(p2) * 0.5 &&\n body(p) < range(p) * 0.4 &&\n isBear(c) && body(c) > range(c) * 0.5 &&\n c.close < (p2.open + p2.close) / 2\n ) {\n hits.push({ name: \"Evening Star\", side: \"bearish\" });\n }\n\n return hits;\n}\n",[],[150,206,232],"468d57ff-f237-4d2a-aef6-d210df6853bb","market.ts","019f5341-e82c-752f-ba2a-7ff15818049f",["D",1783808256047],"// Twelve Data market-data fetcher for XAU/USD.\nimport type { Candle } from \"./types.ts\";\n\nconst BASE = \"https://api.twelvedata.com\";\nexport const SYMBOL = \"XAU/USD\";\n\nexport const INTERVALS = [\"1min\", \"5min\", \"15min\", \"30min\", \"1h\", \"1day\"] as const;\nexport type Interval = (typeof INTERVALS)[number];\n\nexport interface Quote {\n symbol: string;\n price: number;\n change: number;\n percentChange: number;\n timestamp: number;\n}\n\ninterface TDError {\n status?: string;\n code?: number;\n message?: string;\n}\n\nfunction assertOk(json: any) {\n if (json && (json.status === \"error\" || json.code >= 400)) {\n const e = json as TDError;\n throw new Error(`Twelve Data error${e.code ? ` (${e.code})` : \"\"}: ${e.message ?? \"unknown\"}`);\n }\n}\n\nexport async function fetchCandles(\n apiKey: string,\n interval: Interval = \"5min\",\n outputsize = 250,\n): Promise {\n const url = `${BASE}/time_series?symbol=${encodeURIComponent(SYMBOL)}&interval=${interval}` +\n `&outputsize=${outputsize}&order=ASC&apikey=${encodeURIComponent(apiKey)}`;\n const res = await fetch(url);\n const json = await res.json();\n assertOk(json);\n if (!json.values) return [];\n return (json.values as any[]).map((v) => ({\n time: Math.floor(new Date(v.datetime.replace(\" \", \"T\") + \"Z\").getTime() / 1000),\n open: parseFloat(v.open),\n high: parseFloat(v.high),\n low: parseFloat(v.low),\n close: parseFloat(v.close),\n volume: v.volume ? parseFloat(v.volume) : 0,\n }));\n}\n\nexport async function fetchQuote(apiKey: string): Promise {\n const url = `${BASE}/quote?symbol=${encodeURIComponent(SYMBOL)}&apikey=${encodeURIComponent(apiKey)}`;\n const res = await fetch(url);\n const json = await res.json();\n assertOk(json);\n return {\n symbol: SYMBOL,\n price: parseFloat(json.close ?? json.price ?? \"0\"),\n change: parseFloat(json.change ?? \"0\"),\n percentChange: parseFloat(json.percent_change ?? \"0\"),\n timestamp: json.timestamp ? Number(json.timestamp) : Math.floor(Date.now() / 1000),\n };\n}\n",[],[150,206,239],"5f976a88-550b-42a9-a7ed-1546fb31563f","indicators.ts","019f5341-e82c-752f-ba2a-7474cc7d27c1",["D",1783808256047],"// Pure technical-indicator math. No I/O, fully unit-testable.\nimport type { Candle } from \"./types.ts\";\n\nexport function sma(values: number[], period: number): number[] {\n const out: number[] = [];\n for (let i = 0; i < values.length; i++) {\n if (i < period - 1) {\n out.push(NaN);\n continue;\n }\n let sum = 0;\n for (let j = i - period + 1; j <= i; j++) sum += values[j];\n out.push(sum / period);\n }\n return out;\n}\n\nexport function ema(values: number[], period: number): number[] {\n const out: number[] = [];\n const k = 2 / (period + 1);\n let prev = NaN;\n for (let i = 0; i < values.length; i++) {\n if (i < period - 1) {\n out.push(NaN);\n continue;\n }\n if (Number.isNaN(prev)) {\n // seed with SMA of first `period` values\n let sum = 0;\n for (let j = i - period + 1; j <= i; j++) sum += values[j];\n prev = sum / period;\n } else {\n prev = values[i] * k + prev * (1 - k);\n }\n out.push(prev);\n }\n return out;\n}\n\nexport function rsi(values: number[], period = 14): number[] {\n const out: number[] = new Array(values.length).fill(NaN);\n if (values.length <= period) return out;\n let gain = 0;\n let loss = 0;\n for (let i = 1; i <= period; i++) {\n const diff = values[i] - values[i - 1];\n if (diff >= 0) gain += diff;\n else loss -= diff;\n }\n let avgGain = gain / period;\n let avgLoss = loss / period;\n out[period] = avgLoss === 0 ? 100 : 100 - 100 / (1 + avgGain / avgLoss);\n for (let i = period + 1; i < values.length; i++) {\n const diff = values[i] - values[i - 1];\n const up = diff >= 0 ? diff : 0;\n const down = diff < 0 ? -diff : 0;\n avgGain = (avgGain * (period - 1) + up) / period;\n avgLoss = (avgLoss * (period - 1) + down) / period;\n out[i] = avgLoss === 0 ? 100 : 100 - 100 / (1 + avgGain / avgLoss);\n }\n return out;\n}\n\nexport interface MacdPoint {\n macd: number;\n signal: number;\n histogram: number;\n}\n\nexport function macd(\n values: number[],\n fast = 12,\n slow = 26,\n signalPeriod = 9,\n): MacdPoint[] {\n const emaFast = ema(values, fast);\n const emaSlow = ema(values, slow);\n const macdLine = values.map((_, i) => emaFast[i] - emaSlow[i]);\n // signal = EMA of macdLine (ignoring leading NaNs)\n const cleanIdx = macdLine.findIndex((v) => !Number.isNaN(v));\n const signalRaw = ema(\n macdLine.map((v) => (Number.isNaN(v) ? 0 : v)),\n signalPeriod,\n );\n return values.map((_, i) => {\n const m = macdLine[i];\n const s = i >= cleanIdx ? signalRaw[i] : NaN;\n return { macd: m, signal: s, histogram: m - s };\n });\n}\n\nexport function atr(candles: Candle[], period = 14): number[] {\n const out: number[] = new Array(candles.length).fill(NaN);\n if (candles.length < 2) return out;\n const trs: number[] = [0];\n for (let i = 1; i < candles.length; i++) {\n const h = candles[i].high;\n const l = candles[i].low;\n const pc = candles[i - 1].close;\n trs.push(Math.max(h - l, Math.abs(h - pc), Math.abs(l - pc)));\n }\n let sum = 0;\n for (let i = 1; i <= period && i < trs.length; i++) sum += trs[i];\n let prev = sum / period;\n out[period] = prev;\n for (let i = period + 1; i < candles.length; i++) {\n prev = (prev * (period - 1) + trs[i]) / period;\n out[i] = prev;\n }\n return out;\n}\n\nexport interface SwingPoint {\n index: number;\n price: number;\n type: \"high\" | \"low\";\n}\n\n// Find swing highs/lows using a left/right window (fractal-style).\nexport function swingPoints(candles: Candle[], window = 2): SwingPoint[] {\n const out: SwingPoint[] = [];\n for (let i = window; i < candles.length - window; i++) {\n let isHigh = true;\n let isLow = true;\n for (let j = i - window; j <= i + window; j++) {\n if (j === i) continue;\n if (candles[j].high >= candles[i].high) isHigh = false;\n if (candles[j].low <= candles[i].low) isLow = false;\n }\n if (isHigh) out.push({ index: i, price: candles[i].high, type: \"high\" });\n if (isLow) out.push({ index: i, price: candles[i].low, type: \"low\" });\n }\n return out;\n}\n\nexport const last = (arr: T[]): T => arr[arr.length - 1];\n",[],[150,206,246],"d96254ce-84de-47bc-811d-639ba0002e1a","db.ts","77c6dc1c-7d76-11f1-a1f2-1607ee4eb77e",5,["D",1783808319375],"// Data layer: SQLite schema + typed helpers for the gold protection bot.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport type { AnalysisResult, ChatMessage, DemoTrade, ProtectionResult } from \"./types.ts\";\n\nconst PREFIX = \"gold_prot\";\nexport const T = {\n signals: `${PREFIX}_signals`,\n protection: `${PREFIX}_alerts`,\n trades: `${PREFIX}_demo_trades`,\n chat: `${PREFIX}_chat`,\n telegram: `${PREFIX}_telegram_config`,\n settings: `${PREFIX}_bot_settings`,\n};\n\nlet initialized = false;\nexport async function initDb() {\n if (initialized) return;\n await sqlite.batch([\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.signals} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n direction TEXT NOT NULL,\n confidence INTEGER NOT NULL,\n entry REAL NOT NULL,\n stop_loss REAL NOT NULL,\n tp1 REAL NOT NULL, tp2 REAL NOT NULL, tp3 REAL NOT NULL,\n atr REAL NOT NULL,\n bullish_score REAL NOT NULL,\n bearish_score REAL NOT NULL,\n session TEXT NOT NULL,\n reasoning TEXT NOT NULL,\n factors TEXT NOT NULL,\n status TEXT NOT NULL DEFAULT 'open',\n telegram_sent INTEGER NOT NULL DEFAULT 0,\n created_at INTEGER NOT NULL\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.protection} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n level TEXT NOT NULL,\n score INTEGER NOT NULL,\n price REAL NOT NULL,\n signals TEXT NOT NULL,\n reasoning TEXT NOT NULL,\n action TEXT NOT NULL,\n telegram_sent INTEGER NOT NULL DEFAULT 0,\n created_at INTEGER NOT NULL\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.trades} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n direction TEXT NOT NULL,\n entry REAL NOT NULL,\n stop_loss REAL NOT NULL,\n take_profit REAL NOT NULL,\n size REAL NOT NULL DEFAULT 0.1,\n status TEXT NOT NULL DEFAULT 'OPEN',\n close_price REAL,\n pnl REAL,\n opened_at INTEGER NOT NULL,\n closed_at INTEGER,\n source TEXT NOT NULL DEFAULT 'MANUAL',\n note TEXT DEFAULT ''\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.chat} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n role TEXT NOT NULL,\n text TEXT NOT NULL,\n metadata TEXT,\n created_at INTEGER NOT NULL\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.telegram} (\n id INTEGER PRIMARY KEY CHECK (id = 1),\n bot_token TEXT DEFAULT '',\n chat_id TEXT DEFAULT '',\n notify_protection INTEGER NOT NULL DEFAULT 1,\n notify_signals INTEGER NOT NULL DEFAULT 1,\n notify_trades INTEGER NOT NULL DEFAULT 0,\n min_alert_level TEXT NOT NULL DEFAULT 'CAUTION'\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS ${T.settings} (\n id INTEGER PRIMARY KEY CHECK (id = 1),\n api_key TEXT DEFAULT '',\n risk_per_trade REAL NOT NULL DEFAULT 1,\n rr1 REAL NOT NULL DEFAULT 1.5,\n rr2 REAL NOT NULL DEFAULT 2.5,\n rr3 REAL NOT NULL DEFAULT 4.0,\n scan_interval_min INTEGER NOT NULL DEFAULT 15,\n bot_running INTEGER NOT NULL DEFAULT 0,\n auto_trade INTEGER NOT NULL DEFAULT 0,\n source_bot_url TEXT DEFAULT 'https://weruweruu--6836bf0471e311f1af651607ee4eb77e.web.val.run'\n )`,\n },\n { sql: `INSERT OR IGNORE INTO ${T.telegram} (id) VALUES (1)` },\n { sql: `INSERT OR IGNORE INTO ${T.settings} (id) VALUES (1)` },\n ]);\n initialized = true;\n}\n\n// ---------- Settings ----------\nexport interface BotSettings {\n apiKey: string;\n hasApiKey: boolean;\n riskPerTrade: number;\n riskReward: [number, number, number];\n scanIntervalMin: number;\n botRunning: boolean;\n autoTrade: boolean;\n sourceBotUrl: string;\n}\n\nexport async function getSettings(): Promise {\n await initDb();\n const r = await sqlite.execute(`SELECT * FROM ${T.settings} WHERE id = 1`);\n const row = r.rows[0] as Record;\n return {\n apiKey: String(row.api_key ?? \"\"),\n hasApiKey: !!row.api_key,\n riskPerTrade: Number(row.risk_per_trade),\n riskReward: [Number(row.rr1), Number(row.rr2), Number(row.rr3)],\n scanIntervalMin: Number(row.scan_interval_min),\n botRunning: !!row.bot_running,\n autoTrade: !!row.auto_trade,\n sourceBotUrl: String(row.source_bot_url ?? \"\"),\n };\n}\n\nexport async function updateSettings(p: Partial) {\n await initDb();\n const sets: string[] = [];\n const args: any[] = [];\n if (p.apiKey !== undefined && p.apiKey !== \"\") { sets.push(\"api_key = ?\"); args.push(p.apiKey); }\n if (p.riskPerTrade !== undefined) { sets.push(\"risk_per_trade = ?\"); args.push(p.riskPerTrade); }\n if (p.riskReward) { sets.push(\"rr1 = ?\", \"rr2 = ?\", \"rr3 = ?\"); args.push(...p.riskReward); }\n if (p.scanIntervalMin !== undefined) { sets.push(\"scan_interval_min = ?\"); args.push(p.scanIntervalMin); }\n if (p.botRunning !== undefined) { sets.push(\"bot_running = ?\"); args.push(p.botRunning ? 1 : 0); }\n if (p.autoTrade !== undefined) { sets.push(\"auto_trade = ?\"); args.push(p.autoTrade ? 1 : 0); }\n if (p.sourceBotUrl !== undefined) { sets.push(\"source_bot_url = ?\"); args.push(p.sourceBotUrl); }\n if (!sets.length) return;\n await sqlite.execute({ sql: `UPDATE ${T.settings} SET ${sets.join(\", \")} WHERE id = 1`, args });\n}\n\n// ---------- Telegram config ----------\nexport interface TelegramConfig {\n botToken: string;\n hasToken: boolean;\n chatId: string;\n notifyProtection: boolean;\n notifySignals: boolean;\n notifyTrades: boolean;\n minAlertLevel: string;\n}\n\nexport async function getTelegram(): Promise {\n await initDb();\n const r = await sqlite.execute(`SELECT * FROM ${T.telegram} WHERE id = 1`);\n const row = r.rows[0] as Record;\n return {\n botToken: String(row.bot_token ?? \"\"),\n hasToken: !!row.bot_token,\n chatId: String(row.chat_id ?? \"\"),\n notifyProtection: !!row.notify_protection,\n notifySignals: !!row.notify_signals,\n notifyTrades: !!row.notify_trades,\n minAlertLevel: String(row.min_alert_level ?? \"CAUTION\"),\n };\n}\n\nexport async function updateTelegram(p: Partial) {\n await initDb();\n const sets: string[] = [];\n const args: any[] = [];\n if (p.botToken !== undefined && p.botToken !== \"\") { sets.push(\"bot_token = ?\"); args.push(p.botToken); }\n if (p.chatId !== undefined) { sets.push(\"chat_id = ?\"); args.push(p.chatId); }\n if (p.notifyProtection !== undefined) { sets.push(\"notify_protection = ?\"); args.push(p.notifyProtection ? 1 : 0); }\n if (p.notifySignals !== undefined) { sets.push(\"notify_signals = ?\"); args.push(p.notifySignals ? 1 : 0); }\n if (p.notifyTrades !== undefined) { sets.push(\"notify_trades = ?\"); args.push(p.notifyTrades ? 1 : 0); }\n if (p.minAlertLevel !== undefined) { sets.push(\"min_alert_level = ?\"); args.push(p.minAlertLevel); }\n if (!sets.length) return;\n await sqlite.execute({ sql: `UPDATE ${T.telegram} SET ${sets.join(\", \")} WHERE id = 1`, args });\n}\n\n// ---------- Signals ----------\nexport interface SignalRow extends AnalysisResult {\n id: number;\n status: \"open\" | \"tp_hit\" | \"sl_hit\" | \"cancelled\";\n telegramSent: boolean;\n createdAt: number;\n}\n\nexport async function saveSignal(a: AnalysisResult, telegramSent: boolean): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.signals}\n (direction, confidence, entry, stop_loss, tp1, tp2, tp3, atr, bullish_score, bearish_score, session, reasoning, factors, status, telegram_sent, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'open', ?, ?)`,\n args: [a.direction, a.confidence, a.entry, a.stopLoss, a.takeProfits[0], a.takeProfits[1], a.takeProfits[2],\n a.atr, a.bullishScore, a.bearishScore, a.session, JSON.stringify(a.reasoning), JSON.stringify(a.factors),\n telegramSent ? 1 : 0, Date.now()],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function listSignals(limit = 50): Promise {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT * FROM ${T.signals} ORDER BY id DESC LIMIT ?`, args: [limit] });\n return r.rows.map(rowToSignal);\n}\n\nfunction rowToSignal(row: any): SignalRow {\n return {\n id: Number(row.id), direction: row.direction, confidence: Number(row.confidence),\n entry: Number(row.entry), stopLoss: Number(row.stop_loss),\n takeProfits: [Number(row.tp1), Number(row.tp2), Number(row.tp3)],\n riskRewardRatios: [1.5, 2.5, 4.0], atr: Number(row.atr),\n bullishScore: Number(row.bullish_score), bearishScore: Number(row.bearish_score),\n session: row.session, reasoning: JSON.parse(row.reasoning || \"[]\"),\n factors: JSON.parse(row.factors || \"[]\"),\n timestamp: Math.floor(Number(row.created_at) / 1000),\n status: row.status, telegramSent: !!row.telegram_sent, createdAt: Number(row.created_at),\n } as SignalRow;\n}\n\n// ---------- Protection Alerts ----------\nexport interface ProtectionRow {\n id: number;\n level: string;\n score: number;\n price: number;\n signals: any[];\n reasoning: string[];\n action: string;\n telegramSent: boolean;\n createdAt: number;\n}\n\nexport async function saveProtection(p: ProtectionResult, telegramSent: boolean): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.protection} (level, score, price, signals, reasoning, action, telegram_sent, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [p.level, p.score, p.price, JSON.stringify(p.signals), JSON.stringify(p.reasoning),\n p.recommendedAction, telegramSent ? 1 : 0, Date.now()],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function listProtection(limit = 50): Promise {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT * FROM ${T.protection} ORDER BY id DESC LIMIT ?`, args: [limit] });\n return r.rows.map((row: any) => ({\n id: Number(row.id), level: row.level, score: Number(row.score), price: Number(row.price),\n signals: JSON.parse(row.signals || \"[]\"), reasoning: JSON.parse(row.reasoning || \"[]\"),\n action: row.action, telegramSent: !!row.telegram_sent, createdAt: Number(row.created_at),\n }));\n}\n\n// ---------- Demo Trades ----------\nexport async function openTrade(t: {\n direction: string; entry: number; stopLoss: number; takeProfit: number;\n size: number; source: string; note: string;\n}): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.trades} (direction, entry, stop_loss, take_profit, size, status, opened_at, source, note)\n VALUES (?, ?, ?, ?, ?, 'OPEN', ?, ?, ?)`,\n args: [t.direction, t.entry, t.stopLoss, t.takeProfit, t.size, Date.now(), t.source, t.note],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function closeTrade(id: number, closePrice: number, status: string) {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT * FROM ${T.trades} WHERE id = ?`, args: [id] });\n const row = r.rows[0] as any;\n if (!row) return;\n const entry = Number(row.entry);\n const size = Number(row.size);\n const dir = row.direction;\n const pnl = dir === \"BUY\" ? (closePrice - entry) * size * 100 : (entry - closePrice) * size * 100;\n await sqlite.execute({\n sql: `UPDATE ${T.trades} SET status = ?, close_price = ?, pnl = ?, closed_at = ? WHERE id = ?`,\n args: [status, closePrice, pnl, Date.now(), id],\n });\n}\n\nexport async function listTrades(limit = 100): Promise {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT * FROM ${T.trades} ORDER BY id DESC LIMIT ?`, args: [limit] });\n return r.rows.map((row: any) => ({\n id: Number(row.id), direction: row.direction, entry: Number(row.entry),\n stopLoss: Number(row.stop_loss), takeProfit: Number(row.take_profit),\n size: Number(row.size), status: row.status,\n closePrice: row.close_price ? Number(row.close_price) : null,\n pnl: row.pnl !== null ? Number(row.pnl) : null,\n openedAt: Number(row.opened_at), closedAt: row.closed_at ? Number(row.closed_at) : null,\n source: row.source, note: row.note ?? \"\",\n }));\n}\n\nexport async function getOpenTrades(): Promise {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT * FROM ${T.trades} WHERE status = 'OPEN' ORDER BY id DESC` });\n return r.rows.map((row: any) => ({\n id: Number(row.id), direction: row.direction, entry: Number(row.entry),\n stopLoss: Number(row.stop_loss), takeProfit: Number(row.take_profit),\n size: Number(row.size), status: row.status,\n closePrice: null, pnl: null,\n openedAt: Number(row.opened_at), closedAt: null,\n source: row.source, note: row.note ?? \"\",\n }));\n}\n\n// ---------- Chat ----------\nexport async function saveChat(role: string, text: string, metadata?: string): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.chat} (role, text, metadata, created_at) VALUES (?, ?, ?, ?)`,\n args: [role, text, metadata ?? null, Date.now()],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function listChat(limit = 100): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `SELECT * FROM ${T.chat} ORDER BY id DESC LIMIT ?`,\n args: [limit],\n });\n return r.rows.map((row: any) => ({\n id: Number(row.id), role: row.role, text: row.text,\n metadata: row.metadata ?? undefined, timestamp: Number(row.created_at),\n })).reverse();\n}\n",[],[150,206,253],"44c1f62a-b7b6-4d16-a983-3fe8f535aed3","chat.ts","9a285376-7d76-11f1-b139-1607ee4eb77e",7,["D",1783808377096],"// AI-style chat assistant for trading guidance.\n// Analyzes the market context and generates contextual responses.\nimport type { Candle, ProtectionResult, DemoTrade } from \"./types.ts\";\nimport { runProtection } from \"./protection.ts\";\nimport { getSession } from \"./protection.ts\";\nimport { last, ema, rsi, macd, atr } from \"./indicators.ts\";\n\nexport interface ChatContext {\n candles: Candle[];\n candles1h: Candle[];\n openTrades: DemoTrade[];\n protection: ProtectionResult | null;\n signalDirection: string;\n signalEntry: number;\n signalSL: number;\n sourceSignals: any[];\n}\n\nexport function generateBotResponse(userText: string, ctx: ChatContext): string {\n const text = userText.toLowerCase().trim();\n const price = ctx.candles.length ? last(ctx.candles.map((c) => c.close)) : 0;\n const session = getSession();\n\n // --- Command: scan / check ---\n if (text.match(/scan|check|analy|status|protect/)) {\n if (ctx.protection) {\n const p = ctx.protection;\n let msg = `🛡️ Protection Check:\\n`;\n msg += `Level: ${p.level} (score ${p.score}/100)\\n`;\n msg += `Action: ${p.recommendedAction}\\n`;\n if (p.distanceToSLPct !== null) {\n msg += `Distance to SL: ${p.distanceToSLPct.toFixed(2)}%\\n`;\n }\n if (p.signals.length > 0) {\n msg += `\\n⚠️ Active warnings:\\n`;\n for (const s of p.signals.slice(0, 5)) {\n msg += `• ${s.message}\\n`;\n }\n } else {\n msg += `\\n✅ No reversal signals detected. Position is safe.\\n`;\n }\n return msg;\n }\n return \"No protection data available yet. Click 'Run Protection Check' on the dashboard first.\";\n }\n\n // --- Command: open / buy / sell / trade ---\n if (text.match(/open|buy|sell|trade|enter|long|short/)) {\n if (ctx.signalDirection === \"NEUTRAL\") {\n return \"⚠️ No clear signal right now — direction is NEUTRAL. Wait for a stronger signal before entering a trade.\";\n }\n const dir = ctx.signalDirection;\n const entry = ctx.signalEntry;\n const sl = ctx.signalSL;\n const risk = Math.abs(entry - sl);\n const tp1 = dir === \"BUY\" ? entry + risk * 1.5 : entry - risk * 1.5;\n let msg = `📊 Based on current analysis:\\n`;\n msg += `Direction: ${dir} at ${entry.toFixed(2)}\\n`;\n msg += `Stop Loss: ${sl.toFixed(2)}\\n`;\n msg += `TP1 (1.5R): ${tp1.toFixed(2)}\\n`;\n msg += `Risk: ${risk.toFixed(2)} points\\n`;\n if (ctx.protection && ctx.protection.score > 40) {\n msg += `\\n⚠️ WARNING: Protection score is ${ctx.protection.score}/100. Consider waiting for a better entry.\\n`;\n } else {\n msg += `\\n✅ Protection score is ${ctx.protection?.score ?? 0}/100 — looks safe to enter.\\n`;\n }\n msg += `\\nGo to the Demo Trade tab to execute this as a paper trade.`;\n return msg;\n }\n\n // --- Command: close / exit ---\n if (text.match(/close|exit|stop/)) {\n if (ctx.openTrades.length === 0) {\n return \"No open trades to close.\";\n }\n const t = ctx.openTrades[0];\n const pnl = t.direction === \"BUY\" ? (price - t.entry) * t.size * 100 : (t.entry - price) * t.size * 100;\n let msg = `📉 Closing trade #${t.id}:\\n`;\n msg += `Direction: ${t.direction}\\n`;\n msg += `Entry: ${t.entry} → Current: ${price.toFixed(2)}\\n`;\n msg += `Unrealized P&L: ${pnl >= 0 ? \"+\" : \"\"}${pnl.toFixed(2)}\\n`;\n if (ctx.protection && ctx.protection.score > 60) {\n msg += `\\n🛑 Protection alert: ${ctx.protection.level}. Closing now would limit losses.`;\n }\n return msg;\n }\n\n // --- Command: price / quote ---\n if (text.match(/price|quote|current|now/)) {\n const closes = ctx.candles.map((c) => c.close);\n const ema20 = last(ema(closes, 20));\n const ema50 = last(ema(closes, 50));\n const rsiv = last(rsi(closes, 14));\n const mp = last(macd(closes));\n const atrv = last(atr(ctx.candles, 14));\n let msg = `💹 XAU/USD Live:\\n`;\n msg += `Price: ${price.toFixed(2)}\\n`;\n msg += `EMA20: ${ema20.toFixed(2)} | EMA50: ${ema50.toFixed(2)}\\n`;\n msg += `RSI: ${rsiv.toFixed(1)}\\n`;\n msg += `MACD Hist: ${mp?.histogram.toFixed(3) ?? \"—\"}\\n`;\n msg += `ATR: ${atrv.toFixed(2)}\\n`;\n msg += `Session: ${session}\\n`;\n if (price > ema20 && ema20 > ema50) msg += `Trend: 🟢 Bullish`;\n else if (price < ema20 && ema20 < ema50) msg += `Trend: 🔴 Bearish`;\n else msg += `Trend: ⚪ Mixed`;\n return msg;\n }\n\n // --- Command: help ---\n if (text.match(/help|what|how|guide/)) {\n return `🤖 Gold Protection Bot Commands:\\n\\n` +\n `• \"scan\" or \"check\" — Run protection analysis\\n` +\n `• \"price\" — Get live XAU/USD quote + indicators\\n` +\n `• \"buy\" or \"sell\" — Get trade recommendation\\n` +\n `• \"close\" — Check open trade status\\n` +\n `• \"risk\" — Get risk assessment\\n` +\n `• \"signal\" — View latest source bot signal\\n\\n` +\n `I monitor your positions 24/7 and alert you before your stop loss gets hit.`;\n }\n\n // --- Command: risk ---\n if (text.match(/risk|danger|safe/)) {\n if (ctx.protection) {\n const p = ctx.protection;\n let msg = `🛡️ Risk Assessment:\\n`;\n msg += `Protection Level: ${p.level}\\n`;\n msg += `Risk Score: ${p.score}/100\\n`;\n msg += `Recommended: ${p.recommendedAction}\\n`;\n if (p.signals.length > 0) {\n msg += `\\nActive Risk Factors:\\n`;\n for (const s of p.signals) {\n msg += ` ${s.severity === \"CRITICAL\" ? \"🚨\" : s.severity === \"DANGER\" ? \"🛑\" : \"⚠️\"} ${s.message}\\n`;\n }\n }\n return msg;\n }\n return \"Run a protection check first to get risk assessment.\";\n }\n\n // --- Command: signal / source ---\n if (text.match(/signal|source|weru/)) {\n if (ctx.sourceSignals && ctx.sourceSignals.length > 0) {\n const s = ctx.sourceSignals[0];\n let msg = `📡 Latest Signal from Source Bot:\\n`;\n msg += `Direction: ${s.direction} @ ${s.confidence}%\\n`;\n msg += `Entry: ${s.entry}\\n`;\n msg += `SL: ${s.stopLoss}\\n`;\n msg += `Session: ${s.session}\\n`;\n msg += `Status: ${s.status}\\n`;\n return msg;\n }\n return \"No signals available from the source bot yet. Make sure the source bot URL is configured in Settings.\";\n }\n\n // --- Default response ---\n let msg = `I'm your gold protection assistant. I can help you:\\n`;\n msg += `• Check protection status (type \"scan\")\\n`;\n msg += `• Get live price (type \"price\")\\n`;\n msg += `• Get trade recommendations (type \"buy\" or \"sell\")\\n`;\n msg += `• Assess risk (type \"risk\")\\n`;\n msg += `• View source signals (type \"signal\")\\n\\n`;\n msg += `Current protection score: ${ctx.protection?.score ?? \"—\"}/100`;\n return msg;\n}\n\n// Generate auto-message when protection level changes\nexport function generateAutoAlert(p: ProtectionResult): string {\n const emojis: Record = { SAFE: \"✅\", CAUTION: \"⚠️\", DANGER: \"🛑\", CRITICAL: \"🚨\" };\n let msg = `${emojis[p.level]} AUTO-ALERT: Protection level is ${p.level}\\n`;\n msg += `Risk score: ${p.score}/100\\n`;\n msg += `Action recommended: ${p.recommendedAction}\\n`;\n if (p.signals.length > 0) {\n msg += `\\nTriggered by:\\n`;\n for (const s of p.signals.slice(0, 3)) {\n msg += `• ${s.message}\\n`;\n }\n }\n return msg;\n}\n",[],[150,206,261],"be8a2340-94ca-4acd-91a9-fa8b675c2d71","analysis.ts","019f5343-cc6e-7159-988d-5e677730bc54",10,["D",1783808380019],"// Ultimate Hybrid Gold Trading Strategy — pure analysis engine.\n// Input: 5min candles (primary) + 1h candles (higher-TF bias). Output: AnalysisResult.\nimport type {\n AnalysisFactor,\n AnalysisResult,\n Candle,\n CustomStrategy,\n Direction,\n TradingSession,\n} from \"./types.ts\";\nimport { atr, ema, last, macd, rsi, swingPoints } from \"./indicators.ts\";\nimport { detectPatterns } from \"./patterns.ts\";\n\ninterface Scored {\n bullish: number;\n bearish: number;\n factors: AnalysisFactor[];\n reasoning: string[];\n}\n\nfunction add(\n s: Scored,\n name: string,\n side: \"bullish\" | \"bearish\" | \"neutral\",\n weight: number,\n detail: string,\n) {\n s.factors.push({ name, side, weight, detail });\n if (side === \"bullish\") s.bullish += weight;\n else if (side === \"bearish\") s.bearish += weight;\n if (side !== \"neutral\") s.reasoning.push(`${detail} (${side} +${weight})`);\n}\n\n// --- Trading session (UTC hours) ---\nexport function getSession(date = new Date()): TradingSession {\n const h = date.getUTCHours();\n if (h >= 13 && h < 16) return \"NY-London Overlap\"; // highest liquidity\n if (h >= 7 && h < 13) return \"London\";\n if (h >= 16 && h < 21) return \"New York\";\n return \"Asian/Low Liquidity\";\n}\n\n// --- ICT: detect last bullish/bearish order block ---\nfunction orderBlocks(c: Candle[]) {\n let bullish: number | null = null;\n let bearish: number | null = null;\n for (let i = c.length - 3; i >= Math.max(1, c.length - 30); i--) {\n // bullish OB: down candle followed by strong up move\n if (c[i].close < c[i].open && c[i + 1].close > c[i + 1].open &&\n c[i + 1].close > c[i].high && bullish === null) {\n bullish = (c[i].open + c[i].close) / 2;\n }\n if (c[i].close > c[i].open && c[i + 1].close < c[i + 1].open &&\n c[i + 1].close < c[i].low && bearish === null) {\n bearish = (c[i].open + c[i].close) / 2;\n }\n }\n return { bullish, bearish };\n}\n\n// --- ICT: Fair Value Gaps (3-candle imbalance) on recent candles ---\nfunction fairValueGaps(c: Candle[]) {\n let bullish = false;\n let bearish = false;\n for (let i = c.length - 2; i >= Math.max(2, c.length - 20); i--) {\n if (c[i - 1].high < c[i + 1].low) bullish = true; // gap up\n if (c[i - 1].low > c[i + 1].high) bearish = true; // gap down\n }\n return { bullish, bearish };\n}\n\n// --- Liquidity sweep: wick takes out a recent swing then closes back ---\nfunction liquiditySweep(c: Candle[], swings: ReturnType) {\n const cur = last(c);\n const recentHighs = swings.filter((s) => s.type === \"high\").slice(-4);\n const recentLows = swings.filter((s) => s.type === \"low\").slice(-4);\n let bullishSweep = false; // swept lows then closed up = bullish\n let bearishSweep = false; // swept highs then closed down = bearish\n for (const lo of recentLows) {\n if (cur.low < lo.price && cur.close > lo.price && cur.close > cur.open) bullishSweep = true;\n }\n for (const hi of recentHighs) {\n if (cur.high > hi.price && cur.close < hi.price && cur.close < cur.open) bearishSweep = true;\n }\n return { bullishSweep, bearishSweep };\n}\n\n// --- Market structure: HH/HL vs LH/LL + BOS/CHoCH ---\nfunction marketStructure(swings: ReturnType) {\n const highs = swings.filter((s) => s.type === \"high\").slice(-3);\n const lows = swings.filter((s) => s.type === \"low\").slice(-3);\n let trend: \"up\" | \"down\" | \"range\" = \"range\";\n if (highs.length >= 2 && lows.length >= 2) {\n const hh = highs[highs.length - 1].price > highs[highs.length - 2].price;\n const hl = lows[lows.length - 1].price > lows[lows.length - 2].price;\n const lh = highs[highs.length - 1].price < highs[highs.length - 2].price;\n const ll = lows[lows.length - 1].price < lows[lows.length - 2].price;\n if (hh && hl) trend = \"up\";\n else if (lh && ll) trend = \"down\";\n }\n return { trend };\n}\n\n// --- Dynamic S/R from swing points nearest to price ---\nfunction nearestSR(price: number, swings: ReturnType) {\n let support = -Infinity;\n let resistance = Infinity;\n for (const s of swings) {\n if (s.price <= price && s.price > support) support = s.price;\n if (s.price >= price && s.price < resistance) resistance = s.price;\n }\n return {\n support: Number.isFinite(support) ? support : price * 0.995,\n resistance: Number.isFinite(resistance) ? resistance : price * 1.005,\n };\n}\n\nexport interface AnalyzeOptions {\n strategies?: CustomStrategy[];\n now?: Date;\n riskReward?: [number, number, number]; // defaults 1.5, 2.5, 4.0\n}\n\nexport function analyze(\n c5: Candle[],\n c1h: Candle[],\n opts: AnalyzeOptions = {},\n): AnalysisResult {\n const s: Scored = { bullish: 0, bearish: 0, factors: [], reasoning: [] };\n const closes = c5.map((x) => x.close);\n const price = last(closes);\n\n // EMAs on 5m\n const ema20 = last(ema(closes, 20));\n const ema50 = last(ema(closes, 50));\n const ema200 = last(ema(closes, 200));\n if (!Number.isNaN(ema20) && !Number.isNaN(ema50)) {\n if (ema20 > ema50 && price > ema20) add(s, \"EMA Trend (20/50)\", \"bullish\", 2, \"Price above rising 20/50 EMA\");\n else if (ema20 < ema50 && price < ema20) add(s, \"EMA Trend (20/50)\", \"bearish\", 2, \"Price below falling 20/50 EMA\");\n }\n if (!Number.isNaN(ema200)) {\n if (price > ema200) add(s, \"EMA 200 Bias\", \"bullish\", 1, \"Price above 200 EMA\");\n else add(s, \"EMA 200 Bias\", \"bearish\", 1, \"Price below 200 EMA\");\n }\n\n // Higher-TF (1h) bias\n if (c1h.length >= 50) {\n const h = c1h.map((x) => x.close);\n const e20 = last(ema(h, 20));\n const e50 = last(ema(h, 50));\n if (e20 > e50) add(s, \"1H Trend Bias\", \"bullish\", 2, \"1H EMA trend up\");\n else if (e20 < e50) add(s, \"1H Trend Bias\", \"bearish\", 2, \"1H EMA trend down\");\n }\n\n // RSI\n const rsiv = last(rsi(closes, 14));\n if (!Number.isNaN(rsiv)) {\n if (rsiv < 30) add(s, \"RSI\", \"bullish\", 2, `RSI oversold (${rsiv.toFixed(0)})`);\n else if (rsiv > 70) add(s, \"RSI\", \"bearish\", 2, `RSI overbought (${rsiv.toFixed(0)})`);\n else if (rsiv > 50) add(s, \"RSI\", \"bullish\", 1, `RSI bullish (${rsiv.toFixed(0)})`);\n else if (rsiv < 50) add(s, \"RSI\", \"bearish\", 1, `RSI bearish (${rsiv.toFixed(0)})`);\n }\n\n // MACD histogram momentum\n const macdArr = macd(closes);\n const mp = last(macdArr);\n const mpPrev = macdArr[macdArr.length - 2];\n if (mp && !Number.isNaN(mp.histogram)) {\n const rising = mpPrev && mp.histogram > mpPrev.histogram;\n if (mp.histogram > 0 && rising) add(s, \"MACD\", \"bullish\", 2, \"MACD histogram positive & rising\");\n else if (mp.histogram < 0 && !rising) add(s, \"MACD\", \"bearish\", 2, \"MACD histogram negative & falling\");\n else if (mp.histogram > 0) add(s, \"MACD\", \"bullish\", 1, \"MACD histogram positive\");\n else if (mp.histogram < 0) add(s, \"MACD\", \"bearish\", 1, \"MACD histogram negative\");\n }\n\n // Market structure\n const swings = swingPoints(c5, 2);\n const ms = marketStructure(swings);\n if (ms.trend === \"up\") add(s, \"Market Structure\", \"bullish\", 2, \"HH/HL structure (uptrend)\");\n else if (ms.trend === \"down\") add(s, \"Market Structure\", \"bearish\", 2, \"LH/LL structure (downtrend)\");\n\n // ICT order blocks\n const ob = orderBlocks(c5);\n if (ob.bullish !== null && price >= ob.bullish * 0.999 && price <= ob.bullish * 1.002) {\n add(s, \"Order Block\", \"bullish\", 2, \"Price at bullish order block\");\n }\n if (ob.bearish !== null && price <= ob.bearish * 1.001 && price >= ob.bearish * 0.998) {\n add(s, \"Order Block\", \"bearish\", 2, \"Price at bearish order block\");\n }\n\n // Fair Value Gaps\n const fvg = fairValueGaps(c5);\n if (fvg.bullish) add(s, \"Fair Value Gap\", \"bullish\", 1, \"Bullish FVG present\");\n if (fvg.bearish) add(s, \"Fair Value Gap\", \"bearish\", 1, \"Bearish FVG present\");\n\n // Liquidity sweep — highest weighted\n const sweep = liquiditySweep(c5, swings);\n if (sweep.bullishSweep) add(s, \"Liquidity Sweep\", \"bullish\", 3, \"Swept sell-side liquidity & reversed up\");\n if (sweep.bearishSweep) add(s, \"Liquidity Sweep\", \"bearish\", 3, \"Swept buy-side liquidity & reversed down\");\n\n // SMT divergence: price vs RSI\n const rsiArr = rsi(closes, 14);\n if (swings.length >= 4) {\n const lows = swings.filter((x) => x.type === \"low\").slice(-2);\n const highs = swings.filter((x) => x.type === \"high\").slice(-2);\n if (lows.length === 2) {\n const priceLower = lows[1].price < lows[0].price;\n const rsiHigher = rsiArr[lows[1].index] > rsiArr[lows[0].index];\n if (priceLower && rsiHigher) add(s, \"SMT Divergence\", \"bullish\", 2, \"Bullish RSI divergence\");\n }\n if (highs.length === 2) {\n const priceHigher = highs[1].price > highs[0].price;\n const rsiLower = rsiArr[highs[1].index] < rsiArr[highs[0].index];\n if (priceHigher && rsiLower) add(s, \"SMT Divergence\", \"bearish\", 2, \"Bearish RSI divergence\");\n }\n }\n\n // Candlestick patterns\n for (const pat of detectPatterns(c5)) {\n add(s, `Pattern: ${pat.name}`, pat.side, 1, `${pat.name} candlestick`);\n }\n\n // Custom user strategies\n for (const strat of opts.strategies ?? []) {\n if (!strat.active) continue;\n const v = strategyValue(strat.condition.indicator, { rsiv, ema20, ema50, ema200, price, macdHist: mp?.histogram ?? 0 });\n if (v === null) continue;\n const { operator, value } = strat.condition;\n const ok = operator === \"<\" ? v < value : operator === \">\" ? v > value : Math.abs(v - value) < 0.0001;\n if (ok) add(s, `Custom: ${strat.name}`, strat.side, strat.weight, strat.description || strat.name);\n }\n\n // Session filter — reduce conviction in low liquidity\n const session = getSession(opts.now ?? new Date());\n if (session === \"Asian/Low Liquidity\") {\n s.bullish *= 0.7;\n s.bearish *= 0.7;\n s.reasoning.push(\"Low-liquidity session: scores reduced 30%\");\n }\n\n // Direction needs a 2-point lead to avoid weak NEUTRAL signals\n const lead = Math.abs(s.bullish - s.bearish);\n let direction: Direction = \"NEUTRAL\";\n if (lead >= 2 && s.bullish > s.bearish) direction = \"BUY\";\n else if (lead >= 2 && s.bearish > s.bullish) direction = \"SELL\";\n\n const total = s.bullish + s.bearish || 1;\n const winner = Math.max(s.bullish, s.bearish);\n const confidence = direction === \"NEUTRAL\" ? 0 : Math.round((winner / total) * 100);\n\n // Risk levels\n const atrv = last(atr(c5, 14)) || price * 0.002;\n const sr = nearestSR(price, swings);\n const rr = opts.riskReward ?? [1.5, 2.5, 4.0];\n let stopLoss: number;\n let takeProfits: [number, number, number];\n if (direction === \"SELL\") {\n stopLoss = Math.max(sr.resistance, price + atrv * 1.5);\n const risk = stopLoss - price;\n takeProfits = [price - risk * rr[0], price - risk * rr[1], price - risk * rr[2]];\n } else {\n // BUY or NEUTRAL (still compute illustrative long levels)\n stopLoss = Math.min(sr.support, price - atrv * 1.5);\n const risk = price - stopLoss;\n takeProfits = [price + risk * rr[0], price + risk * rr[1], price + risk * rr[2]];\n }\n\n return {\n direction,\n confidence,\n entry: round(price),\n stopLoss: round(stopLoss),\n takeProfits: takeProfits.map(round) as [number, number, number],\n riskRewardRatios: rr,\n atr: round(atrv),\n bullishScore: round1(s.bullish),\n bearishScore: round1(s.bearish),\n factors: s.factors,\n session,\n reasoning: s.reasoning,\n timestamp: Math.floor((opts.now ?? new Date()).getTime() / 1000),\n };\n}\n\nfunction strategyValue(\n indicator: string,\n v: { rsiv: number; ema20: number; ema50: number; ema200: number; price: number; macdHist: number },\n): number | null {\n switch (indicator) {\n case \"rsi\": return Number.isNaN(v.rsiv) ? null : v.rsiv;\n case \"macd_hist\": return v.macdHist;\n case \"ema_trend\": return v.ema20 - v.ema50;\n case \"price_vs_ema200\": return v.price - v.ema200;\n default: return null;\n }\n}\n\nconst round = (n: number) => Math.round(n * 100) / 100;\nconst round1 = (n: number) => Math.round(n * 10) / 10;\n",[],[150,206,269],"0a9a6342-60a0-46c2-afe9-76623c79f17c",["D",1783808256047],[181,182,183,184,185,186,187,188,189,190],[150,206],"e1e062e2-86bd-4a02-b5b4-468013ce78f6","019f5342-05a5-715f-a222-13467bc00e9d",["D",1783808426587],[],[150,285,38],"frontend","401c84f5-e42b-43a8-a706-d853a4358a4f","ui.tsx","019f5342-05a5-715f-a222-19c594e830be","019f5342-05a5-715f-a222-170acb53569c",3,["D",1783808263592],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState } from \"https://esm.sh/react@18.2.0\";\nimport type { Signal } from \"../api.ts\";\n\nexport function Card({ title, children, className = \"\" }: { title?: string; children: React.ReactNode; className?: string }) {\n return (\n

\n {title &&

{title}

}\n {children}\n

\n );\n}\n\nexport function Btn({ children, onClick, variant = \"primary\", disabled, className = \"\" }: {\n children: React.ReactNode; onClick?: () => void; variant?: \"primary\" | \"ghost\" | \"danger\" | \"success\"; disabled?: boolean; className?: string;\n}) {\n const styles: Record = {\n primary: \"bg-amber-500 hover:bg-amber-400 text-slate-950\",\n success: \"bg-emerald-600 hover:bg-emerald-500 text-white\",\n danger: \"bg-red-600 hover:bg-red-500 text-white\",\n ghost: \"bg-slate-800 hover:bg-slate-700 text-slate-200\",\n };\n return (\n \n );\n}\n\nexport function Input(props: React.InputHTMLAttributes) {\n return ;\n}\n\nexport function DirBadge({ dir }: { dir: string }) {\n const map: Record = {\n BUY: \"bg-emerald-500/15 text-emerald-400 border-emerald-500/30\",\n SELL: \"bg-red-500/15 text-red-400 border-red-500/30\",\n NEUTRAL: \"bg-slate-500/15 text-slate-400 border-slate-500/30\",\n };\n return {dir};\n}\n\nexport function StatusBadge({ status }: { status: string }) {\n const map: Record = {\n open: [\"Open\", \"bg-blue-500/15 text-blue-400\"],\n tp_hit: [\"Hit TP\", \"bg-emerald-500/15 text-emerald-400\"],\n sl_hit: [\"Hit SL\", \"bg-red-500/15 text-red-400\"],\n cancelled: [\"Cancelled\", \"bg-slate-600/20 text-slate-400\"],\n };\n const [label, cls] = map[status] ?? map.open;\n return {label};\n}\n\nexport function SignalCard({ s, onStatus }: { s: Signal; onStatus?: (status: string) => void }) {\n const [open, setOpen] = useState(false);\n const time = new Date(s.createdAt).toLocaleString();\n return (\n

\n \n {s.confidence}%\n \n

\n {s.telegramSent ? 📨 : null}\n {time}\n

\n \n \n \n \n \n

\n 🟢 {s.bullishScore} / 🔴 {s.bearishScore} · {s.session} · ATR {s.atr}\n

\n \n

\n {open && (\n

• {r}

\n {onStatus && s.status === \"open\" && (\n

\n onStatus(\"tp_hit\")}>Hit TP\n onStatus(\"sl_hit\")}>Hit SL\n onStatus(\"cancelled\")}>Cancel\n

\n )}\n

\n );\n}\n\nfunction Stat({ label, value, cls = \"\" }: { label: string; value: number; cls?: string }) {\n return (\n

{label}

{value}

\n );\n}\n",[],[150,285,295,287],"components","d55e0e00-1592-4c73-87cd-95514c6b4538","Chart.tsx","019f5342-05a5-715f-a222-1df467ae274e",["D",1783808263592],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useEffect, useRef } from \"https://esm.sh/react@18.2.0\";\nimport type { Candle } from \"../api.ts\";\n\nexport function CandleChart({ candles }: { candles: Candle[] }) {\n const ref = useRef(null);\n\n useEffect(() => {\n const canvas = ref.current;\n if (!canvas || candles.length === 0) return;\n const dpr = window.devicePixelRatio || 1;\n const W = canvas.clientWidth;\n const H = canvas.clientHeight;\n canvas.width = W * dpr;\n canvas.height = H * dpr;\n const ctx = canvas.getContext(\"2d\")!;\n ctx.scale(dpr, dpr);\n ctx.clearRect(0, 0, W, H);\n\n const priceH = H * 0.78;\n const volH = H * 0.22;\n const padR = 56;\n const plotW = W - padR;\n\n const data = candles.slice(-120);\n const highs = data.map((c) => c.high);\n const lows = data.map((c) => c.low);\n const maxP = Math.max(...highs);\n const minP = Math.min(...lows);\n const range = maxP - minP || 1;\n const maxV = Math.max(...data.map((c) => c.volume), 1);\n\n const cw = plotW / data.length;\n const bodyW = Math.max(1, cw * 0.6);\n const yP = (p: number) => 6 + (priceH - 12) * (1 - (p - minP) / range);\n\n // grid + price axis\n ctx.font = \"10px ui-monospace, monospace\";\n ctx.textBaseline = \"middle\";\n for (let i = 0; i <= 4; i++) {\n const p = minP + (range * i) / 4;\n const y = yP(p);\n ctx.strokeStyle = \"rgba(148,163,184,0.12)\";\n ctx.beginPath();\n ctx.moveTo(0, y);\n ctx.lineTo(plotW, y);\n ctx.stroke();\n ctx.fillStyle = \"rgba(148,163,184,0.8)\";\n ctx.fillText(p.toFixed(2), plotW + 6, y);\n }\n\n // candles\n data.forEach((c, i) => {\n const x = i * cw + cw / 2;\n const up = c.close >= c.open;\n const color = up ? \"#22c55e\" : \"#ef4444\";\n ctx.strokeStyle = color;\n ctx.fillStyle = color;\n // wick\n ctx.beginPath();\n ctx.moveTo(x, yP(c.high));\n ctx.lineTo(x, yP(c.low));\n ctx.stroke();\n // body\n const yo = yP(c.open);\n const yc = yP(c.close);\n const top = Math.min(yo, yc);\n const h = Math.max(1, Math.abs(yc - yo));\n ctx.fillRect(x - bodyW / 2, top, bodyW, h);\n // volume\n const vh = (c.volume / maxV) * (volH - 6);\n ctx.globalAlpha = 0.5;\n ctx.fillRect(x - bodyW / 2, H - vh, bodyW, vh);\n ctx.globalAlpha = 1;\n });\n }, [candles]);\n\n return (\n \n );\n}\n",[],[150,285,295,297],"4fd9465d-b58d-4bf5-ae04-ebc646247020",["D",1783808263592],[177,178],[150,285,295],"30ce04f6-d815-4074-800c-88f6e59ae45e",["D",1783808263592],[176,179],[150,285],["D",1783808256047],[175,180],[150],"8f3b0d37-7d45-47c5-b561-37f0f3f47623","autocheck.ts","a9cc91fc-7d76-11f1-a32d-1607ee4eb77e",["D",1783808403250],"interval","// Scheduled auto-protection check. Runs every 15 min (free-tier minimum).\n// Runs protection pipeline + checks open trades for SL/TP hits.\nimport { getSettings } from \"../src/lib/db.ts\";\nimport { runProtectionPipeline, checkOpenTrades } from \"../src/lib/pipeline.ts\";\nimport { saveChat } from \"../src/lib/db.ts\";\n\nexport default async function () {\n const settings = await getSettings();\n if (!settings.botRunning) {\n console.log(\"Auto-check skipped: bot is stopped.\");\n return;\n }\n if (!settings.hasApiKey) {\n console.log(\"Auto-check skipped: no API key.\");\n return;\n }\n\n // First, check if any open trades hit SL/TP\n const tradeCheck = await checkOpenTrades();\n for (const msg of tradeCheck.messages) {\n console.log(\"Trade event:\", msg);\n await saveChat(\"bot\", msg);\n }\n\n // Run the full protection pipeline\n const r = await runProtectionPipeline();\n if (!r.ok) {\n console.error(\"Auto-check failed:\", r.error);\n return;\n }\n console.log(\n `Auto-check: protection ${r.protection!.level} (${r.protection!.score}/100)` +\n ` | signal ${r.analysis!.direction} @ ${r.analysis!.confidence}%` +\n (r.telegramSent ? \" (sent to Telegram)\" : \"\") +\n (r.autoTraded ? \" (auto-traded)\" : \"\"),\n );\n}\n",[],[156,315],["D",1783808403250],[173],[156],["D",1783808251262],["D",1789526460011],{"_104":103,"_112":108},{"_104":103,"_105":106,"_107":108,"_19":59,"_109":110,"_111":30},{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"ctx",{"_86":-5,"_132":363,"_364":365,"_366":367,"_368":30,"_369":30,"_370":30,"_371":63,"_372":-5,"_373":-7,"_374":-7,"_375":67,"_376":30,"_377":30,"_378":-5,"_379":30,"_380":30,"_381":30,"_382":-5},"ENV",{"_334":335,"_336":337,"_338":94,"_339":340,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360,"_361":362},"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"]

Diff · v14