[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_221":222,"_223":224},"routes/_app.x.$handle.$name",{"_105":104,"_37":50,"_113":95,"_32":114,"_13":14,"_115":-5,"_11":116,"_117":118,"_119":120,"_121":122,"_123":124,"_26":-5,"_125":-5,"_126":-5,"_127":30,"_128":129,"_130":30,"_131":-5,"_132":-5,"_133":134},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_48":49,"_37":50,"_43":51,"_52":-5,"_53":30,"_54":55,"_56":55,"_57":58,"_59":-5,"_19":60,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":72,"_73":74,"_75":76,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":88,"_89":90,"_91":92,"_93":30},"version",5,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","f79387e2-2afa-4821-be88-506c97f01627","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":-7,"_29":30,"_31":30,"_32":33,"_34":33},"file",{"_35":36,"_37":38,"_39":40,"_41":42,"_43":44,"_45":14,"_46":47,"_29":30},"previous","deleted",false,"deletedHere","path","src/lib/market.ts","latestPath","fileId","8966e6f4-80de-11f1-aacc-1607ee4eb77e","name","market.ts","fileType","script","content","// Market data fetcher using Twelve Data API.\nimport type { Candle } from \"./types.ts\";\n\nconst BASE = \"https://api.twelvedata.com\";\nexport const DEFAULT_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\nfunction assertOk(json: any) {\n if (json && (json.status === \"error\" || (json.code && json.code >= 400))) {\n throw new Error(`Twelve Data error: ${json.message ?? \"unknown\"}`);\n }\n}\n\nexport async function fetchCandles(\n apiKey: string,\n symbol: string = DEFAULT_SYMBOL,\n interval: Interval = \"5min\",\n outputsize = 250,\n): Promise {\n const url = `${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, symbol: string = DEFAULT_SYMBOL): Promise {\n const url = `${BASE}/quote?symbol=${encodeURIComponent(symbol)}&apikey=${encodeURIComponent(apiKey)}`;\n const res = await fetch(url);\n const json = await res.json();\n assertOk(json);\n return {\n symbol,\n price: parseFloat(json.close ?? json.price ?? \"0\"),\n change: parseFloat(json.change ?? \"0\"),\n percentChange: parseFloat(json.percent_change ?? \"0\"),\n timestamp: json.timestamp ? Number(json.timestamp) : Math.floor(Date.now() / 1000),\n };\n}\n\n// Fetch multiple symbols in one call\nexport async function fetchMultiQuote(apiKey: string, symbols: string[]): Promise {\n if (symbols.length === 0) return [];\n const url = `${BASE}/price?symbol=${symbols.map(encodeURIComponent).join(\",\")}&apikey=${encodeURIComponent(apiKey)}`;\n const res = await fetch(url);\n const json = await res.json();\n if (Array.isArray(json)) {\n return symbols.map((s, i) => ({\n symbol: s,\n price: parseFloat(json[i]?.price ?? \"0\"),\n change: 0,\n percentChange: 0,\n timestamp: Math.floor(Date.now() / 1000),\n }));\n }\n return [];\n}\n","createdAt",["D",1784182870101],"branchVersion","branchId","95ef9e28-fe61-493c-a770-b3563a049710","id","83bdd005-8970-4353-a1d7-9af211296a36","pocket-option-trading-bot",["D",1784180422629],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Pocket Option automated trading bot with strategy engine","imageUrl","fa73935a-a3af-4c0c-9622-a681c65b50f2","pinnedFileId","d0c11b8c-80de-11f1-9307-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019f696f-20fd-72fb-bdd0-4456c2f3182a","tursoName","83bdd00589704353a1d79af211296a36","tursoHostname","83bdd00589704353a1d79af211296a36-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789525843977],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_105":104,"_112":108},"org",{"_105":104,"_106":104,"_107":108,"_19":60,"_109":110,"_111":30},"branch",{"_13":94,"_37":95,"_48":47,"_96":49,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":50,"_103":104},"isOwned",44,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","weruproton","handle","displayName","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/ae059443-2840-4e69-6920-e0dfaa3ae800/square512?exp=1789567199&sig=d51885c9429c16403a90703b8f355d2c36499eed3fb1c3e82884d3fc2e69de4b","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_48":49,"_37":50,"_43":216,"_52":-5,"_53":30,"_54":55,"_56":55,"_57":58,"_59":-5,"_19":60,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":72,"_73":74,"_75":217,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":218,"_89":219,"_91":220,"_93":30},"tree",[156],"files",[156,157,158,159,160,161,162,163],"counts",{"_146":68,"_147":140,"_148":68,"_149":150,"_151":152},"contents",[135],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_48":136,"_37":137,"_35":138,"_139":-5,"_46":47,"_45":140,"_141":64,"_43":142,"_13":68,"_39":143,"_41":-5,"_29":30,"_144":-5,"_32":145},"9e48f5fb-c18a-48fa-a03d-26ef30ba8773","src","019f698d-f7c7-70da-a4dd-2584cb575e83","parentId",1,"latest",["D",1784182339533],"directory","label",[137],"pulls","branches","forks","envVars",{"_153":68,"_155":68},"connections",{"_153":68,"_154":68},"count","unfilledCount","emptyCount",{"_48":136,"_37":137,"_35":138,"_139":-5,"_46":47,"_45":140,"_141":64,"_43":213,"_13":68,"_39":143,"_41":-5,"_29":30,"_144":-5,"_171":214,"_32":215},{"_48":209,"_37":174,"_35":167,"_139":138,"_46":47,"_45":140,"_141":64,"_43":210,"_13":68,"_39":143,"_41":-5,"_29":30,"_144":-5,"_171":211,"_32":212},{"_48":201,"_37":202,"_35":203,"_139":167,"_46":47,"_45":204,"_141":64,"_43":205,"_13":68,"_39":40,"_41":206,"_29":30,"_144":-5,"_171":207,"_32":208},{"_48":194,"_37":195,"_35":196,"_139":167,"_46":47,"_45":140,"_141":64,"_43":197,"_13":68,"_39":40,"_41":198,"_29":30,"_144":-5,"_171":199,"_32":200},{"_48":190,"_37":38,"_35":36,"_139":167,"_46":47,"_45":14,"_141":64,"_43":191,"_13":68,"_39":40,"_41":42,"_29":30,"_144":-5,"_171":192,"_32":193},{"_48":183,"_37":184,"_35":185,"_139":167,"_46":47,"_45":140,"_141":64,"_43":186,"_13":68,"_39":40,"_41":187,"_29":30,"_144":-5,"_171":188,"_32":189},{"_48":175,"_37":176,"_35":177,"_139":167,"_46":47,"_45":178,"_141":64,"_43":179,"_13":68,"_39":40,"_41":180,"_29":30,"_144":-5,"_171":181,"_32":182},{"_48":164,"_37":165,"_35":166,"_139":167,"_46":47,"_45":168,"_141":64,"_43":169,"_13":68,"_39":40,"_41":170,"_29":30,"_144":-5,"_171":172,"_32":173},"80d4677c-3d7c-485d-b18a-0fc6bcbb02cf","types.ts","5d735f60-80dd-11f1-ae56-1607ee4eb77e","019f698d-f7c7-70da-a4dd-29cf9f40f778",2,["D",1784182366904],"// Shared types for the multi-broker auto-trading bot.\n\nexport interface Candle {\n time: number; // unix seconds\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 interface AnalysisResult {\n direction: Direction;\n confidence: number; // 0-100\n entry: number;\n stopLoss: number;\n takeProfits: [number, number, number]; // 1.5R, 2.5R, 4.0R\n riskRewardRatios: [number, number, number];\n atr: number;\n bullishScore: number;\n bearishScore: number;\n factors: AnalysisFactor[];\n session: TradingSession;\n reasoning: string[];\n symbol: string;\n timestamp: number;\n}\n\nexport type TradingSession =\n | \"London\"\n | \"NY-London Overlap\"\n | \"New York\"\n | \"Asian/Low Liquidity\";\n\n// ---------- Broker types ----------\n\nexport type BrokerType =\n | \"alpaca\"\n | \"binance\"\n | \"bybit\"\n | \"oanda\"\n | \"deriv\"\n | \"ibkr\"\n | \"mt5\";\n\nexport interface BrokerConfig {\n type: BrokerType;\n displayName: string;\n description: string;\n fields: BrokerField[];\n defaultSymbols: string[];\n supportsPaperTrading: boolean;\n available: boolean; // false for brokers needing external gateway\n icon: string;\n}\n\nexport interface BrokerField {\n key: string;\n label: string;\n type: \"text\" | \"password\";\n required: boolean;\n placeholder?: string;\n}\n\n// ---------- Trade types ----------\n\nexport type TradeStatus =\n | \"pending\"\n | \"open\"\n | \"closed\"\n | \"cancelled\"\n | \"rejected\";\n\nexport interface Trade {\n id: number;\n brokerId: number;\n brokerType: BrokerType;\n symbol: string;\n direction: Direction;\n quantity: number;\n entryPrice: number;\n exitPrice: number | null;\n stopLoss: number;\n takeProfit: number;\n status: TradeStatus;\n pnl: number | null;\n confidence: number;\n reasoning: string;\n brokerOrderId: string | null;\n createdAt: number;\n closedAt: number | null;\n}\n\n// ---------- Broker adapter interface ----------\n\nexport interface BrokerAccount {\n balance: number;\n currency: string;\n buyingPower?: number;\n equity?: number;\n status: string;\n}\n\nexport interface PlaceOrderParams {\n symbol: string;\n side: \"buy\" | \"sell\";\n quantity: number;\n orderType: \"market\" | \"limit\";\n limitPrice?: number;\n stopLoss?: number;\n takeProfit?: number;\n}\n\nexport interface PlaceOrderResult {\n ok: boolean;\n orderId?: string;\n error?: string;\n filledPrice?: number;\n}\n\nexport interface BrokerAdapter {\n type: BrokerType;\n getAccount(): Promise;\n getCandles(symbol: string, interval: string, limit: number): Promise;\n getQuote(symbol: string): Promise<{ price: number; bid?: number; ask?: number }>;\n placeOrder(params: PlaceOrderParams): Promise;\n closePosition(symbol: string): Promise;\n testConnection(): Promise<{ ok: boolean; error?: string }>;\n}\n","children",[],[137,174,165],"lib","55dcf09a-05e1-4950-b710-e8029b750f8b","telegram.ts","5d7a8f92-80dd-11f1-85bc-1607ee4eb77e",3,["D",1784182366905],"// Outbound Telegram notifier.\nimport type { AnalysisResult, Trade } 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${botToken}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n chat_id: chatId,\n text,\n parse_mode: \"HTML\",\n disable_web_page_preview: true,\n }),\n });\n const json = await res.json();\n if (!json.ok) return { ok: false, error: json.description ?? \"Telegram API error\" };\n return { ok: true };\n } catch (e) {\n return { ok: false, error: String(e) };\n }\n}\n\nexport function formatSignalMessage(a: AnalysisResult): string {\n const emoji = a.direction === \"BUY\" ? \"🟢\" : a.direction === \"SELL\" ? \"🔴\" : \"⚪\";\n const arrow = a.direction === \"BUY\" ? \"▲\" : a.direction === \"SELL\" ? \"▼\" : \"■\";\n const lines = [\n `${emoji} ${a.symbol} ${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) => `• ${r}`),\n ``,\n `Educational only. Trade at your own risk.`,\n ];\n return lines.join(\"\\n\");\n}\n\nexport function formatTradeMessage(t: Trade, brokerName: string): string {\n const emoji = t.status === \"open\" ? \"📤\" : t.status === \"closed\" ? (t.pnl !== null && t.pnl >= 0 ? \"✅\" : \"❌\") : \"⏳\";\n const pnl = t.pnl !== null ? `${t.pnl >= 0 ? \"+\" : \"\"}${t.pnl.toFixed(2)}` : \"—\";\n const lines = [\n `${emoji} Trade ${t.status.toUpperCase()}`,\n `Broker: ${brokerName} (${t.brokerType})`,\n `Symbol: ${t.symbol}`,\n `Direction: ${t.direction}`,\n `Qty: ${t.quantity}`,\n `Entry: ${t.entryPrice}`,\n t.exitPrice !== null ? `Exit: ${t.exitPrice}` : \"\",\n `SL: ${t.stopLoss} · TP: ${t.takeProfit}`,\n `Confidence: ${t.confidence}%`,\n `PnL: ${pnl}`,\n ].filter(Boolean);\n return lines.join(\"\\n\");\n}\n",[],[137,174,176],"158722ce-fdbb-4ee6-8170-406c0f325be3","patterns.ts","019f698d-f7c7-70da-a4dd-307c943e36d1",["D",1784182339533],"// 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",[],[137,174,184],"18c295da-c435-45e3-9a20-bc630721da95",["D",1784182870101],[],[137,174,38],"f2f8eaa1-2d3b-4aaf-af3b-bd7920ca0f81","indicators.ts","019f698d-f7c7-70da-a4dd-2d44b75b159b",["D",1784182339533],"// 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",[],[137,174,195],"d73b8571-9adf-47c6-a793-19a79b83ea5d","db.ts","89606d42-80de-11f1-89fc-1607ee4eb77e",4,["D",1784182870098],"// Data layer: SQLite schema + typed helpers.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport type { AnalysisResult, Trade, BrokerType } from \"./types.ts\";\n\nconst P = \"mtb\"; // multi-broker trading bot\nexport const T = {\n brokers: `${P}_brokers`,\n trades: `${P}_trades`,\n signals: `${P}_signals`,\n snapshots: `${P}_price_snapshots`,\n telegram: `${P}_telegram_config`,\n settings: `${P}_bot_settings`,\n positions: `${P}_positions`,\n};\n\nlet initialized = false;\n\nexport async function initDb() {\n if (initialized) return;\n await sqlite.batch([\n { sql: `CREATE TABLE IF NOT EXISTS ${T.brokers} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n type TEXT NOT NULL,\n name TEXT NOT NULL,\n api_key TEXT DEFAULT '',\n api_secret TEXT DEFAULT '',\n extra TEXT DEFAULT '',\n is_paper INTEGER NOT NULL DEFAULT 1,\n active INTEGER NOT NULL DEFAULT 0,\n symbols TEXT DEFAULT 'XAU/USD',\n created_at INTEGER NOT NULL\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS ${T.trades} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n broker_id INTEGER NOT NULL,\n broker_type TEXT NOT NULL,\n symbol TEXT NOT NULL,\n direction TEXT NOT NULL,\n quantity REAL NOT NULL,\n entry_price REAL NOT NULL,\n exit_price REAL,\n stop_loss REAL NOT NULL,\n take_profit REAL NOT NULL,\n status TEXT NOT NULL DEFAULT 'pending',\n pnl REAL,\n confidence INTEGER NOT NULL DEFAULT 0,\n reasoning TEXT DEFAULT '',\n broker_order_id TEXT,\n created_at INTEGER NOT NULL,\n closed_at INTEGER\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS ${T.signals} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n symbol TEXT NOT NULL,\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 auto_traded INTEGER NOT NULL DEFAULT 0,\n created_at INTEGER NOT NULL\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS ${T.snapshots} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n symbol TEXT NOT NULL,\n price REAL NOT NULL,\n created_at INTEGER NOT NULL\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_buy INTEGER NOT NULL DEFAULT 1,\n notify_sell INTEGER NOT NULL DEFAULT 1,\n notify_neutral INTEGER NOT NULL DEFAULT 0,\n notify_trades INTEGER NOT NULL DEFAULT 1,\n min_confidence INTEGER NOT NULL DEFAULT 60\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 auto_trade INTEGER NOT NULL DEFAULT 0,\n min_confidence INTEGER NOT NULL DEFAULT 70,\n max_open_trades INTEGER NOT NULL DEFAULT 3,\n trade_symbol TEXT NOT NULL DEFAULT 'XAU/USD'\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS ${T.positions} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n broker_id INTEGER NOT NULL,\n symbol TEXT NOT NULL,\n side TEXT NOT NULL,\n quantity REAL NOT NULL,\n entry_price REAL NOT NULL,\n current_price REAL,\n pnl REAL,\n status TEXT NOT NULL DEFAULT 'open',\n created_at INTEGER NOT NULL\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 autoTrade: boolean;\n minConfidence: number;\n maxOpenTrades: number;\n tradeSymbol: 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 autoTrade: !!row.auto_trade,\n minConfidence: Number(row.min_confidence),\n maxOpenTrades: Number(row.max_open_trades),\n tradeSymbol: String(row.trade_symbol ?? \"XAU/USD\"),\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.autoTrade !== undefined) { sets.push(\"auto_trade = ?\"); args.push(p.autoTrade ? 1 : 0); }\n if (p.minConfidence !== undefined) { sets.push(\"min_confidence = ?\"); args.push(p.minConfidence); }\n if (p.maxOpenTrades !== undefined) { sets.push(\"max_open_trades = ?\"); args.push(p.maxOpenTrades); }\n if (p.tradeSymbol !== undefined) { sets.push(\"trade_symbol = ?\"); args.push(p.tradeSymbol); }\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 notifyBuy: boolean;\n notifySell: boolean;\n notifyNeutral: boolean;\n notifyTrades: boolean;\n minConfidence: number;\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 notifyBuy: !!row.notify_buy,\n notifySell: !!row.notify_sell,\n notifyNeutral: !!row.notify_neutral,\n notifyTrades: !!row.notify_trades,\n minConfidence: Number(row.min_confidence),\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.notifyBuy !== undefined) { sets.push(\"notify_buy = ?\"); args.push(p.notifyBuy ? 1 : 0); }\n if (p.notifySell !== undefined) { sets.push(\"notify_sell = ?\"); args.push(p.notifySell ? 1 : 0); }\n if (p.notifyNeutral !== undefined) { sets.push(\"notify_neutral = ?\"); args.push(p.notifyNeutral ? 1 : 0); }\n if (p.notifyTrades !== undefined) { sets.push(\"notify_trades = ?\"); args.push(p.notifyTrades ? 1 : 0); }\n if (p.minConfidence !== undefined) { sets.push(\"min_confidence = ?\"); args.push(p.minConfidence); }\n if (!sets.length) return;\n await sqlite.execute({ sql: `UPDATE ${T.telegram} SET ${sets.join(\", \")} WHERE id = 1`, args });\n}\n\n// ---------- Brokers ----------\nexport interface BrokerRow {\n id: number;\n type: BrokerType;\n name: string;\n apiKey: string;\n apiSecret: string;\n extra: string;\n isPaper: boolean;\n active: boolean;\n symbols: string;\n createdAt: number;\n}\n\nexport async function listBrokers(): Promise {\n await initDb();\n const r = await sqlite.execute(`SELECT * FROM ${T.brokers} ORDER BY id DESC`);\n return r.rows.map((row: any) => ({\n id: Number(row.id),\n type: row.type,\n name: String(row.name),\n apiKey: String(row.api_key ?? \"\"),\n apiSecret: String(row.api_secret ?? \"\"),\n extra: String(row.extra ?? \"\"),\n isPaper: !!row.is_paper,\n active: !!row.active,\n symbols: String(row.symbols ?? \"XAU/USD\"),\n createdAt: Number(row.created_at),\n }));\n}\n\nexport async function createBroker(b: {\n type: BrokerType; name: string; apiKey: string; apiSecret: string;\n extra: string; isPaper: boolean; symbols: string;\n}): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.brokers} (type, name, api_key, api_secret, extra, is_paper, active, symbols, created_at)\n VALUES (?, ?, ?, ?, ?, ?, 0, ?, ?)`,\n args: [b.type, b.name, b.apiKey, b.apiSecret, b.extra, b.isPaper ? 1 : 0, b.symbols, Date.now()],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function updateBroker(id: number, 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.apiSecret !== undefined && p.apiSecret !== \"\") { sets.push(\"api_secret = ?\"); args.push(p.apiSecret); }\n if (p.extra !== undefined) { sets.push(\"extra = ?\"); args.push(p.extra); }\n if (p.isPaper !== undefined) { sets.push(\"is_paper = ?\"); args.push(p.isPaper ? 1 : 0); }\n if (p.active !== undefined) { sets.push(\"active = ?\"); args.push(p.active ? 1 : 0); }\n if (p.symbols !== undefined) { sets.push(\"symbols = ?\"); args.push(p.symbols); }\n if (!sets.length) return;\n args.push(id);\n await sqlite.execute({ sql: `UPDATE ${T.brokers} SET ${sets.join(\", \")} WHERE id = ?`, args });\n}\n\nexport async function deleteBroker(id: number) {\n await initDb();\n await sqlite.execute({ sql: `DELETE FROM ${T.brokers} WHERE id = ?`, args: [id] });\n}\n\n// ---------- Signals ----------\nexport async function saveSignal(a: AnalysisResult, autoTraded: boolean): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.signals}\n (symbol, direction, confidence, entry, stop_loss, tp1, tp2, tp3, atr, bullish_score, bearish_score, session, reasoning, factors, auto_traded, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [a.symbol, 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 autoTraded ? 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((row: any) => ({\n id: Number(row.id),\n symbol: String(row.symbol),\n direction: row.direction,\n confidence: Number(row.confidence),\n entry: Number(row.entry),\n stopLoss: Number(row.stop_loss),\n takeProfits: [Number(row.tp1), Number(row.tp2), Number(row.tp3)],\n atr: Number(row.atr),\n bullishScore: Number(row.bullish_score),\n bearishScore: Number(row.bearish_score),\n session: String(row.session),\n reasoning: JSON.parse(row.reasoning || \"[]\"),\n factors: JSON.parse(row.factors || \"[]\"),\n autoTraded: !!row.auto_traded,\n createdAt: Number(row.created_at),\n }));\n}\n\n// ---------- Trades ----------\nexport async function saveTrade(t: Omit): Promise {\n await initDb();\n const r = await sqlite.execute({\n sql: `INSERT INTO ${T.trades}\n (broker_id, broker_type, symbol, direction, quantity, entry_price, exit_price, stop_loss, take_profit, status, pnl, confidence, reasoning, broker_order_id, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [t.brokerId, t.brokerType, t.symbol, t.direction, t.quantity, t.entryPrice, t.exitPrice,\n t.stopLoss, t.takeProfit, t.status, t.pnl, t.confidence, t.reasoning, t.brokerOrderId, Date.now()],\n });\n return Number(r.lastInsertRowid);\n}\n\nexport async function listTrades(limit = 50): 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),\n brokerId: Number(row.broker_id),\n brokerType: row.broker_type,\n symbol: String(row.symbol),\n direction: row.direction,\n quantity: Number(row.quantity),\n entryPrice: Number(row.entry_price),\n exitPrice: row.exit_price ? Number(row.exit_price) : null,\n stopLoss: Number(row.stop_loss),\n takeProfit: Number(row.take_profit),\n status: row.status,\n pnl: row.pnl ? Number(row.pnl) : null,\n confidence: Number(row.confidence),\n reasoning: String(row.reasoning ?? \"\"),\n brokerOrderId: row.broker_order_id ?? null,\n createdAt: Number(row.created_at),\n closedAt: row.closed_at ? Number(row.closed_at) : null,\n }));\n}\n\nexport async function updateTrade(id: number, p: Partial) {\n await initDb();\n const sets: string[] = [];\n const args: any[] = [];\n if (p.exitPrice !== undefined) { sets.push(\"exit_price = ?\"); args.push(p.exitPrice); }\n if (p.status !== undefined) { sets.push(\"status = ?\"); args.push(p.status); }\n if (p.pnl !== undefined) { sets.push(\"pnl = ?\"); args.push(p.pnl); }\n if (p.brokerOrderId !== undefined) { sets.push(\"broker_order_id = ?\"); args.push(p.brokerOrderId); }\n if (p.closedAt !== undefined) { sets.push(\"closed_at = ?\"); args.push(p.closedAt); }\n if (!sets.length) return;\n args.push(id);\n await sqlite.execute({ sql: `UPDATE ${T.trades} SET ${sets.join(\", \")} WHERE id = ?`, args });\n}\n\nexport async function countOpenTrades(): Promise {\n await initDb();\n const r = await sqlite.execute({ sql: `SELECT COUNT(*) as cnt FROM ${T.trades} WHERE status IN ('pending','open')` });\n return Number((r.rows[0] as any)?.cnt ?? 0);\n}\n\n// ---------- Price snapshots ----------\nexport async function saveSnapshot(symbol: string, price: number) {\n await initDb();\n await sqlite.execute({ sql: `INSERT INTO ${T.snapshots} (symbol, price, created_at) VALUES (?, ?, ?)`, args: [symbol, price, Date.now()] });\n}\n",[],[137,174,202],"6dab4a14-5c48-409b-a51f-75ce42158d2a",["D",1784182339533],[158,159,160,161,162,163],[137,174],["D",1784182339533],[157],[137],["D",1784180422629],["D",1789525843977],{"_105":104,"_112":108},{"_105":104,"_106":104,"_107":108,"_19":60,"_109":110,"_111":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,"_132":254,"_255":256,"_257":258,"_259":30,"_260":30,"_261":30,"_262":64,"_263":-5,"_264":-7,"_265":-7,"_266":68,"_267":30,"_268":30,"_269":-5,"_270":30,"_271":30,"_272":30,"_273":-5},"ENV",{"_225":226,"_227":228,"_229":95,"_230":231,"_232":233,"_234":235,"_236":237,"_238":239,"_240":241,"_242":243,"_244":245,"_246":247,"_248":249,"_250":251,"_252":253},"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 · v5