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1], prev2 = candles[i - 2];\n if (prev2.close < prev2.open && c.close > c.open && c.close > prev2.high)\n obs.push({ type: \"BULLISH\", price: prev2.close, time: prev2.timestamp });\n if (prev2.close > prev2.open && c.close < c.open && c.close < prev2.low)\n obs.push({ type: \"BEARISH\", price: prev2.close, time: prev2.timestamp });\n }\n return obs.slice(-3);\n}\n\nfunction detectFVGs(candles: any[]) {\n const fvgs: any[] = [];\n for (let i = 2; i < candles.length; i++) {\n const l = candles[i - 2], m = candles[i - 1], r = candles[i];\n if (l.low > r.high && m.low > r.high)\n fvgs.push({ type: \"BULLISH\", top: l.low, bottom: r.high, time: m.timestamp });\n if (l.high < r.low && m.high < r.low)\n fvgs.push({ type: \"BEARISH\", top: r.low, bottom: l.high, time: m.timestamp });\n }\n return fvgs.slice(-3);\n}\n\nfunction detectBOS(candles: any[]) {\n if (candles.length < 5) return [];\n const recent = candles.slice(-10);\n const prevHigh = Math.max(...recent.slice(0, -1).map((c: any) => c.high));\n const prevLow = Math.min(...recent.slice(0, -1).map((c: any) => c.low));\n const last = recent[recent.length - 1];\n const bos: any[] = [];\n if (last.close > prevHigh) bos.push({ type: \"BULLISH_BOS\", level: prevHigh });\n if (last.close < prevLow) bos.push({ type: \"BEARISH_BOS\", level: prevLow });\n return bos;\n}\n\nfunction detectCHoCH(candles: any[]) {\n if (candles.length < 20) return [];\n const mid = Math.floor(candles.length / 2);\n const fh = candles.slice(0, mid), sh = candles.slice(mid);\n const fhTrend = fh[fh.length - 1].close - fh[0].close;\n const shBreak = sh[sh.length - 1].close - sh[0].close;\n if (fhTrend > 0 && shBreak < -Math.abs(fhTrend) * 0.5)\n return [{ type: \"BEARISH_CHoCH\", description: \"Uptrend broken\" }];\n if (fhTrend < 0 && shBreak > Math.abs(fhTrend) * 0.5)\n return [{ type: \"BULLISH_CHoCH\", description: \"Downtrend broken\" }];\n return [];\n}\n\n// ── Multi-Timeframe Alignment ──\nexport function checkTimeframeAlignment(timeframes: any) {\n const { daily, h4, h1, m15 } = timeframes;\n if (!daily || !h4 || !h1 || !m15)\n return { aligned: false, setup: \"NEUTRAL\", reason: \"Missing timeframe data\", trends: {} };\n\n const getTrend = (candles: any[]) => {\n if (!candles || candles.length < 50) return \"NEUTRAL\";\n const e20 = candles.slice(-20).reduce((a: number, c: any) => a + c.close, 0) / 20;\n const e50 = candles.slice(-50).reduce((a: number, c: any) => a + c.close, 0) / 50;\n const last = candles[candles.length - 1].close;\n if (last > e20 && e20 > e50) return \"BULLISH\";\n if (last < e20 && e20 < e50) return \"BEARISH\";\n return \"NEUTRAL\";\n };\n\n const dT = getTrend(daily), h4T = getTrend(h4), h1T = getTrend(h1), m15T = getTrend(m15);\n const bull = [dT, h4T, h1T, m15T].filter((t) => t === \"BULLISH\").length;\n const bear = [dT, h4T, h1T, m15T].filter((t) => t === \"BEARISH\").length;\n\n if (bull >= 3) return { aligned: true, setup: \"BUY\", trends: { daily: dT, h4: h4T, h1: h1T, m15: m15T } };\n if (bear >= 3) return { aligned: true, setup: \"SELL\", trends: { daily: dT, h4: h4T, h1: h1T, m15: m15T } };\n return { aligned: false, setup: \"NEUTRAL\", reason: \"Timeframes mixed\", trends: { daily: dT, h4: h4T, h1: h1T, m15: m15T } };\n}\n","createdAt",["D",1784415990161],"branchVersion","branchId","54943cb1-5eb6-49b1-a5a6-fdb88fd203df","id","3ff70071-e8b3-453d-b19c-be2c16c3e99f","king-of-gold",["D",1784414655544],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Gold (XAU/USD) trading dashboard demo","imageUrl","92a2409a-59e8-4e9a-8fcb-0f2ef364a8f4","pinnedFileId","3d4fdd20-82fa-11f1-a886-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019f7763-604a-7497-acd2-b97f42ba11bc","tursoName","3ff70071e8b3453db19cbe2c16c3e99f","tursoHostname","3ff70071e8b3453db19cbe2c16c3e99f-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789472446807],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_105":104,"_113":109},"org",{"_105":104,"_106":107,"_108":109,"_19":60,"_110":111,"_112":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",19,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","Kingblackgold","handle","displayName","kingblack4","avatar","https://avatars.githubusercontent.com/u/306623541?v=4","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_48":49,"_37":50,"_43":248,"_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":249,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":250,"_89":251,"_91":252,"_93":30},"tree",[165,175],"files",[165,166,167,168,169,170,171,172,173,174,175],"counts",{"_155":68,"_156":141,"_157":68,"_158":159,"_160":161},"contents",[136,137],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_48":148,"_37":149,"_35":150,"_140":-5,"_46":47,"_45":151,"_142":64,"_43":152,"_13":68,"_39":153,"_41":-5,"_29":30,"_146":-5,"_32":154},{"_48":138,"_37":139,"_35":62,"_140":-5,"_46":47,"_45":141,"_142":30,"_43":143,"_13":68,"_39":144,"_41":145,"_29":30,"_146":-5,"_32":147},"3831d0be-4ac1-439b-ba50-138b262c3862","main.ts","parentId",1,"latest",["D",1784414670717],"http","// King of Gold — simplified demo dashboard (simulated price feed, no external API keys needed)\n\nlet price = 2350 + Math.random() * 20;\nconst history: number[] = [price];\n\nfunction tick() {\n const change = (Math.random() - 0.5) * 4;\n price = Math.max(1800, price + change);\n history.push(price);\n if (history.length > 50) history.shift();\n}\n\nfunction signal() {\n if (history.length < 10) return { direction: \"NEUTRAL\", confidence: 0 };\n const fast = avg(history.slice(-5));\n const slow = avg(history.slice(-10));\n if (fast > slow) return { direction: \"BUY\", confidence: Math.min(95, Math.round(((fast - slow) / slow) * 5000)) };\n if (fast < slow) return { direction: \"SELL\", confidence: Math.min(95, Math.round(((slow - fast) / slow) * 5000)) };\n return { direction: \"NEUTRAL\", confidence: 0 };\n}\n\nfunction avg(arr: number[]) {\n return arr.reduce((a, b) => a + b, 0) / arr.length;\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (url.pathname === \"/api/price\") {\n tick();\n return Response.json({\n price: Math.round(price * 100) / 100,\n history: history.map((p) => Math.round(p * 100) / 100),\n signal: signal(),\n timestamp: Date.now(),\n });\n }\n\n return new Response(HTML, { headers: { \"Content-Type\": \"text/html\" } });\n}\n\nconst HTML = `\n\n\n\n\n👑 King of Gold\n\n\n\n

👑 King of Gold

\n Live Demo\n

XAU/USD (simulated)

\n --\n \n

Price History

This is a simplified starter — a simulated price feed and a moving-average signal. Ask to add real market data, strategies, or trade journaling.

\n\n\n`;\n","label",[139],"07103bcf-5c68-489e-97f2-06ce137cb433","src","83d2c7fd-4498-4a48-b659-784cb3f0d7de",2,["D",1784415787311],"directory",[149],"pulls","branches","forks","envVars",{"_162":141,"_164":68},"connections",{"_162":68,"_163":68},"count","unfilledCount","emptyCount",{"_48":148,"_37":149,"_35":150,"_140":-5,"_46":47,"_45":151,"_142":64,"_43":245,"_13":68,"_39":153,"_41":-5,"_29":30,"_146":-5,"_177":246,"_32":247},{"_48":241,"_37":189,"_35":183,"_140":150,"_46":47,"_45":151,"_142":64,"_43":242,"_13":68,"_39":153,"_41":-5,"_29":30,"_146":-5,"_177":243,"_32":244},{"_48":233,"_37":234,"_35":235,"_140":183,"_46":47,"_45":236,"_142":64,"_43":237,"_13":68,"_39":40,"_41":238,"_29":30,"_146":-5,"_177":239,"_32":240},{"_48":225,"_37":226,"_35":227,"_140":183,"_46":47,"_45":228,"_142":64,"_43":229,"_13":68,"_39":40,"_41":230,"_29":30,"_146":-5,"_177":231,"_32":232},{"_48":217,"_37":218,"_35":219,"_140":183,"_46":47,"_45":220,"_142":30,"_43":221,"_13":68,"_39":40,"_41":222,"_29":30,"_146":-5,"_177":223,"_32":224},{"_48":213,"_37":38,"_35":36,"_140":183,"_46":47,"_45":14,"_142":64,"_43":214,"_13":68,"_39":40,"_41":42,"_29":30,"_146":-5,"_177":215,"_32":216},{"_48":206,"_37":207,"_35":208,"_140":183,"_46":47,"_45":151,"_142":64,"_43":209,"_13":68,"_39":40,"_41":210,"_29":30,"_146":-5,"_177":211,"_32":212},{"_48":198,"_37":199,"_35":200,"_140":183,"_46":47,"_45":201,"_142":64,"_43":202,"_13":68,"_39":40,"_41":203,"_29":30,"_146":-5,"_177":204,"_32":205},{"_48":190,"_37":191,"_35":192,"_140":183,"_46":47,"_45":193,"_142":30,"_43":194,"_13":68,"_39":40,"_41":195,"_29":30,"_146":-5,"_177":196,"_32":197},{"_48":180,"_37":181,"_35":182,"_140":183,"_46":47,"_45":184,"_142":64,"_43":185,"_13":68,"_39":40,"_41":186,"_29":30,"_146":-5,"_177":187,"_32":188},{"_48":138,"_37":139,"_35":62,"_140":-5,"_46":47,"_45":141,"_142":30,"_43":176,"_13":68,"_39":144,"_41":145,"_29":30,"_146":-5,"_177":178,"_32":179},["D",1784414670717],"children",[],[139],"b3c6c382-3fcb-4228-af36-90063558b7ae","telegram.ts","061b5476-82fd-11f1-8179-1607ee4eb77e","af041d0b-a77a-401b-a787-ec6a56c7c7bb",5,["D",1784415866541],"export async function sendTelegram(text: string): Promise {\n const token = Deno.env.get(\"TELEGRAM_BOT_TOKEN\");\n const chatId = Deno.env.get(\"TELEGRAM_CHAT_ID\");\n if (!token || !chatId) return;\n\n for (let attempt = 0; attempt < 3; attempt++) {\n try {\n const ctrl = new AbortController();\n const timer = setTimeout(() => ctrl.abort(), 8000);\n const res = await fetch(`https://api.telegram.org/bot${token}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, text, parse_mode: \"HTML\" }),\n signal: ctrl.signal,\n });\n clearTimeout(timer);\n if (res.ok) return;\n } catch {\n // retry\n }\n if (attempt < 2) await new Promise((r) => setTimeout(r, 2000 * (attempt + 1)));\n }\n}\n",[],[149,189,181],"lib","57e6cd56-924f-4bd7-9b65-5aec87ac0f76","strategies.ts","4fc944a2-82fd-11f1-a9ea-1607ee4eb77e",8,["D",1784415990159],"import { ema, rsi, macd, bollinger, vwap, atr, stochastic, adx, ichimoku } from \"../indicators.ts\";\n\ntype Signal = \"BUY\" | \"SELL\" | \"NEUTRAL\";\n\nexport interface Strategy {\n id: string;\n name: string;\n category: string;\n description: string;\n evaluate: (candles: any[]) => { signal: Signal; score: number; confidence: number };\n}\n\n// ── 1. EMA Crossover ──\nconst maCrossover: Strategy = {\n id: \"ma-crossover\", name: \"EMA Crossover\", category: \"Trend\",\n description: \"Golden/Death cross between 9 and 21 EMA\",\n evaluate: (c) => {\n const closes = c.map((x: any) => x.close);\n if (closes.length < 50) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const e9 = ema(closes, 9), e21 = ema(closes, 21);\n const p9 = e9[e9.length - 2], p21 = e21[e21.length - 2];\n const c9 = e9[e9.length - 1], c21 = e21[e21.length - 1];\n if (p9 <= p21 && c9 > c21) return { signal: \"BUY\", score: 75, confidence: 70 };\n if (p9 >= p21 && c9 < c21) return { signal: \"SELL\", score: 75, confidence: 70 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 2. RSI Reversal ──\nconst rsiStrategy: Strategy = {\n id: \"rsi-reversal\", name: \"RSI Reversal\", category: \"Momentum\",\n description: \"Overbought/oversold RSI reversal\",\n evaluate: (c) => {\n const closes = c.map((x: any) => x.close);\n if (closes.length < 15) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const r = rsi(closes, 14);\n const last = r[r.length - 1];\n if (last < 30) return { signal: \"BUY\", score: 60, confidence: 65 };\n if (last > 70) return { signal: \"SELL\", score: 60, confidence: 65 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 3. MACD Momentum ──\nconst macdStrategy: Strategy = {\n id: \"macd-momentum\", name: \"MACD Momentum\", category: \"Momentum\",\n description: \"MACD histogram direction change\",\n evaluate: (c) => {\n const closes = c.map((x: any) => x.close);\n if (closes.length < 35) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const { histogram: h } = macd(closes);\n if (h[h.length - 2] < 0 && h[h.length - 1] > 0) return { signal: \"BUY\", score: 70, confidence: 68 };\n if (h[h.length - 2] > 0 && h[h.length - 1] < 0) return { signal: \"SELL\", score: 70, confidence: 68 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 4. Bollinger Squeeze ──\nconst bollingerStrategy: Strategy = {\n id: \"bollinger-squeeze\", name: \"Bollinger Squeeze\", category: \"Volatility\",\n description: \"Price touching bands after squeeze\",\n evaluate: (c) => {\n const closes = c.map((x: any) => x.close);\n if (closes.length < 21) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const { upper, lower } = bollinger(closes, 20, 2);\n const price = closes[closes.length - 1];\n if (price <= lower[lower.length - 1]) return { signal: \"BUY\", score: 65, confidence: 62 };\n if (price >= upper[upper.length - 1]) return { signal: \"SELL\", score: 65, confidence: 62 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 5. VWAP Deviation ──\nconst vwapStrategy: Strategy = {\n id: \"vwap-deviation\", name: \"VWAP Deviation\", category: \"Mean Reversion\",\n description: \"Price deviation from VWAP\",\n evaluate: (c) => {\n if (c.length < 20) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const v = vwap(c);\n const price = c[c.length - 1].close;\n const dev = (price - v[v.length - 1]) / v[v.length - 1];\n if (dev < -0.001) return { signal: \"BUY\", score: 55, confidence: 58 };\n if (dev > 0.001) return { signal: \"SELL\", score: 55, confidence: 58 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 6. Volume Spike ──\nconst volumeSpike: Strategy = {\n id: \"volume-spike\", name: \"Volume Spike\", category: \"Confirmation\",\n description: \"Volume spike confirming price move\",\n evaluate: (c) => {\n if (c.length < 20) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const vols = c.slice(-20).map((x: any) => x.volume);\n const avg = vols.slice(0, -1).reduce((a: number, b: number) => a + b, 0) / 19;\n const lastVol = vols[vols.length - 1];\n const up = c[c.length - 1].close > c[c.length - 2].close;\n if (lastVol > avg * 2) return { signal: up ? \"BUY\" : \"SELL\", score: 60, confidence: 60 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 7. S/R Breakout ──\nconst supportResistance: Strategy = {\n id: \"sr-breakout\", name: \"S/R Breakout\", category: \"Breakout\",\n description: \"Breakout above resistance or below support\",\n evaluate: (c) => {\n if (c.length < 50) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const lookback = c.slice(-50, -1);\n const resistance = Math.max(...lookback.map((x: any) => x.high));\n const support = Math.min(...lookback.map((x: any) => x.low));\n const close = c[c.length - 1].close;\n if (close > resistance * 1.001) return { signal: \"BUY\", score: 72, confidence: 65 };\n if (close < support * 0.999) return { signal: \"SELL\", score: 72, confidence: 65 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 8. ATR Trailing ──\nconst atrTrailing: Strategy = {\n id: \"atr-trailing\", name: \"ATR Trailing\", category: \"Trend\",\n description: \"Price beyond ATR trailing stop\",\n evaluate: (c) => {\n if (c.length < 22) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const a = atr(c, 14);\n const close = c[c.length - 1].close, prev = c[c.length - 2].close;\n if (close > prev + a * 2) return { signal: \"BUY\", score: 58, confidence: 55 };\n if (close < prev - a * 2) return { signal: \"SELL\", score: 58, confidence: 55 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 9. Stochastic Cross ──\nconst stochasticStrategy: Strategy = {\n id: \"stochastic-cross\", name: \"Stochastic Cross\", category: \"Momentum\",\n description: \"%K crossing %D in extreme zones\",\n evaluate: (c) => {\n if (c.length < 20) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const { k, d } = stochastic(c, 14, 3);\n const lk = k[k.length - 1], ld = d[d.length - 1];\n const pk = k[k.length - 2], pd = d[d.length - 2];\n if (pk < pd && lk > ld && lk < 20) return { signal: \"BUY\", score: 62, confidence: 60 };\n if (pk > pd && lk < ld && lk > 80) return { signal: \"SELL\", score: 62, confidence: 60 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 10. ADX Trend ──\nconst adxStrategy: Strategy = {\n id: \"adx-trend\", name: \"ADX Trend Strength\", category: \"Trend\",\n description: \"ADX above 25 with DI alignment\",\n evaluate: (c) => {\n if (c.length < 28) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const { adx: a, plusDI, minusDI } = adx(c.slice(-28), 14);\n if (a > 25 && plusDI > minusDI) return { signal: \"BUY\", score: 64, confidence: 62 };\n if (a > 25 && minusDI > plusDI) return { signal: \"SELL\", score: 64, confidence: 62 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 11. Ichimoku Cloud ──\nconst ichimokuStrategy: Strategy = {\n id: \"ichimoku-cloud\", name: \"Ichimoku Cloud\", category: \"Trend\",\n description: \"Price above/below cloud with TK cross\",\n evaluate: (c) => {\n if (c.length < 60) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const { tenkan, kijun, senkouA, senkouB } = ichimoku(c);\n const price = c[c.length - 1].close;\n const cT = Math.max(senkouA[senkouA.length - 1], senkouB[senkouB.length - 1]);\n const cB = Math.min(senkouA[senkouA.length - 1], senkouB[senkouB.length - 1]);\n const tk = tenkan[tenkan.length - 1] > kijun[kijun.length - 1];\n if (price > cT && tk) return { signal: \"BUY\", score: 68, confidence: 65 };\n if (price < cB && !tk) return { signal: \"SELL\", score: 68, confidence: 65 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 12. Fibonacci Retracement ──\nconst fibonacciStrategy: Strategy = {\n id: \"fib-retrace\", name: \"Fibonacci Retracement\", category: \"Pullback\",\n description: \"Bounce from 0.618 or 0.5 level\",\n evaluate: (c) => {\n if (c.length < 30) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const swing = c.slice(-30);\n const hi = Math.max(...swing.map((x: any) => x.high));\n const lo = Math.min(...swing.map((x: any) => x.low));\n const range = hi - lo;\n const price = c[c.length - 1].close;\n const fib618 = hi - range * 0.618, fib5 = hi - range * 0.5;\n const dist = Math.min(Math.abs(price - fib618), Math.abs(price - fib5));\n if (dist / range < 0.005) {\n const recent = c.slice(-5).reduce((a: number, x: any) => a + x.close, 0) / 5;\n if (recent > fib618) return { signal: \"BUY\", score: 58, confidence: 55 };\n return { signal: \"SELL\", score: 58, confidence: 55 };\n }\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 13. Pivot Points ──\nconst pivotStrategy: Strategy = {\n id: \"pivot-points\", name: \"Pivot Points\", category: \"Mean Reversion\",\n description: \"Price action around daily pivot\",\n evaluate: (c) => {\n if (c.length < 2) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const prev = c[c.length - 2];\n const pivot = (prev.high + prev.low + prev.close) / 3;\n const price = c[c.length - 1].close;\n const range = prev.high - prev.low;\n if (range > 0 && Math.abs(price - pivot) / range < 0.01) {\n return { signal: price > pivot ? \"BUY\" : \"SELL\", score: 50, confidence: 50 };\n }\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 14. Engulfing Pattern ──\nconst engulfingStrategy: Strategy = {\n id: \"engulfing\", name: \"Engulfing Pattern\", category: \"Price Action\",\n description: \"Bullish/Bearish engulfing candlestick\",\n evaluate: (c) => {\n if (c.length < 3) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const prev = c[c.length - 2], curr = c[c.length - 1];\n const pBody = Math.abs(prev.close - prev.open), cBody = Math.abs(curr.close - curr.open);\n if (cBody > pBody * 1.5) {\n if (prev.close < prev.open && curr.close > curr.open && curr.close > prev.open && curr.open < prev.close)\n return { signal: \"BUY\", score: 70, confidence: 68 };\n if (prev.close > prev.open && curr.close < curr.open && curr.close < prev.open && curr.open > prev.close)\n return { signal: \"SELL\", score: 70, confidence: 68 };\n }\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\n// ── 15. Morning/Evening Star ──\nconst morningStar: Strategy = {\n id: \"morning-evening-star\", name: \"Morning/Evening Star\", category: \"Price Action\",\n description: \"Three-candle reversal pattern\",\n evaluate: (c) => {\n if (c.length < 4) return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n const c1 = c[c.length - 3], c2 = c[c.length - 2], c3 = c[c.length - 1];\n const b1 = Math.abs(c1.close - c1.open), b2 = Math.abs(c2.close - c2.open), b3 = Math.abs(c3.close - c3.open);\n if (c1.close < c1.open && c3.close > c3.open && b2 < b1 * 0.3 && b3 > b1 * 0.8 && c2.close < c1.close && c3.open > c2.close)\n return { signal: \"BUY\", score: 72, confidence: 70 };\n if (c1.close > c1.open && c3.close < c3.open && b2 < b1 * 0.3 && b3 > b1 * 0.8 && c2.close > c1.close && c3.open < c2.close)\n return { signal: \"SELL\", score: 72, confidence: 70 };\n return { signal: \"NEUTRAL\", score: 0, confidence: 0 };\n },\n};\n\nexport const STRATEGIES: Strategy[] = [\n maCrossover, rsiStrategy, macdStrategy, bollingerStrategy, vwapStrategy,\n volumeSpike, supportResistance, atrTrailing, stochasticStrategy, adxStrategy,\n ichimokuStrategy, fibonacciStrategy, pivotStrategy, engulfingStrategy, morningStar,\n];\n\nexport interface StrategyResult {\n strategyId: string; name: string; signal: Signal; score: number;\n confidence: number; category: string;\n}\n\nexport function evaluateStrategies(timeframes: any, weights?: Record): StrategyResult[] {\n const results: StrategyResult[] = [];\n for (const s of STRATEGIES) {\n const w = weights?.[s.id] ?? 1.0;\n if (w <= 0) continue;\n const evalData = timeframes.m15 || timeframes.h1 || timeframes.h4 || timeframes.daily;\n if (!evalData || evalData.length < 5) continue;\n const res = s.evaluate(evalData);\n if (res.signal === \"NEUTRAL\") continue;\n results.push({\n strategyId: s.id, name: s.name, signal: res.signal,\n score: res.score * w, confidence: res.confidence, category: s.category,\n });\n }\n return results;\n}\n",[],[149,189,191],"45ee84f6-85fd-4a69-99bc-1dd1541c872f","market.ts","0621e3a4-82fd-11f1-82ac-1607ee4eb77e",6,["D",1784415866543],"import { getNextKey, exhaustKey } from \"./api-key-manager.ts\";\n\ninterface Candle {\n timestamp: number;\n open: number;\n high: number;\n low: number;\n close: number;\n volume: number;\n}\n\nconst cache = new Map();\nconst CACHE_TTL = 45000;\n\nexport async function fetchGoldData(interval = \"1min\", outputSize = 100): Promise {\n const cacheKey = `gold_${interval}_${outputSize}`;\n const cached = cache.get(cacheKey);\n if (cached && Date.now() - cached.ts < CACHE_TTL) return cached.data;\n\n let attempt = 0;\n while (attempt < 5) {\n const key = await getNextKey();\n if (!key) throw new Error(\"All API keys exhausted — set TWELVE_DATA_API_KEYS env var\");\n\n const ctrl = new AbortController();\n const timer = setTimeout(() => ctrl.abort(), 10000);\n try {\n const url = `https://api.twelvedata.com/time_series?symbol=XAU/USD&interval=${interval}&outputsize=${outputSize}`;\n const res = await fetch(url, {\n headers: { Authorization: `apikey ${key}` },\n signal: ctrl.signal,\n });\n clearTimeout(timer);\n\n if (res.status === 429) {\n await exhaustKey(key);\n attempt++;\n continue;\n }\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n\n const json = await res.json();\n if (!json.values) throw new Error(json.message || \"No values in response\");\n\n const candles: Candle[] = json.values.map((v: any) => ({\n timestamp: new Date(v.datetime).getTime(),\n open: parseFloat(v.open),\n high: parseFloat(v.high),\n low: parseFloat(v.low),\n close: parseFloat(v.close),\n volume: parseInt(v.volume || \"0\"),\n })).reverse();\n\n cache.set(cacheKey, { data: candles, ts: Date.now() });\n return candles;\n } catch (e) {\n clearTimeout(timer);\n attempt++;\n if (attempt >= 5) throw e;\n await new Promise((r) => setTimeout(r, 1000 * 2 ** attempt));\n }\n }\n throw new Error(\"All fetch attempts failed\");\n}\n\nexport async function getLivePrice(): Promise {\n const data = await fetchGoldData(\"1min\", 1);\n return data[data.length - 1].close;\n}\n\n// Fallback: generate simulated candles when no API key is configured\nexport function generateSimCandles(count = 100, basePrice = 2350): Candle[] {\n const candles: Candle[] = [];\n let price = basePrice;\n const now = Date.now();\n for (let i = count - 1; i >= 0; i--) {\n const change = (Math.random() - 0.48) * 3;\n const open = price;\n price = Math.max(1800, price + change);\n const high = Math.max(open, price) + Math.random() * 2;\n const low = Math.min(open, price) - Math.random() * 2;\n candles.push({\n timestamp: now - i * 60000,\n open,\n high,\n low,\n close: price,\n volume: 1000 + Math.random() * 5000,\n });\n }\n return candles;\n}\n",[],[149,189,199],"64938629-e424-40c7-8ce9-c3fc72e6df0d","indicators.ts","d6db7290-82fc-11f1-a610-1607ee4eb77e",["D",1784415787311],"// ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n// Technical Indicators — pure functions, no imports\n// ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nexport function sma(data: number[], period: number): number {\n if (data.length < period) return 0;\n return data.slice(-period).reduce((a, b) => a + b, 0) / period;\n}\n\nexport function ema(data: number[], period: number): number[] {\n const k = 2 / (period + 1);\n const out: number[] = [data[0]];\n for (let i = 1; i < data.length; i++) {\n out.push(data[i] * k + out[i - 1] * (1 - k));\n }\n return out;\n}\n\nexport function emaValue(data: number[], period: number): number {\n const arr = ema(data, period);\n return arr[arr.length - 1] || 0;\n}\n\nexport function rsi(closes: number[], period = 14): number[] {\n if (closes.length < period + 1) return [];\n const out: number[] = [];\n let gains = 0, losses = 0;\n for (let i = 1; i <= period; i++) {\n const ch = closes[i] - closes[i - 1];\n if (ch > 0) gains += ch; else losses -= ch;\n }\n let avgGain = gains / period;\n let avgLoss = losses / period;\n for (let i = period + 1; i < closes.length; i++) {\n const ch = closes[i] - closes[i - 1];\n const g = ch > 0 ? ch : 0;\n const l = ch < 0 ? -ch : 0;\n avgGain = (avgGain * (period - 1) + g) / period;\n avgLoss = (avgLoss * (period - 1) + l) / period;\n const rs = avgLoss === 0 ? 100 : avgGain / avgLoss;\n out.push(100 - 100 / (1 + rs));\n }\n return out;\n}\n\nexport function macd(closes: number[]): { macd: number[]; signal: number[]; histogram: number[] } {\n const e12 = ema(closes, 12);\n const e26 = ema(closes, 26);\n const m: number[] = closes.map((_, i) => (e12[i] || 0) - (e26[i] || 0));\n const sig = ema(m, 9);\n const hist: number[] = m.map((v, i) => v - (sig[i] || 0));\n return { macd: m, signal: sig, histogram: hist };\n}\n\nexport function bollinger(closes: number[], period = 20, mult = 2) {\n const middle: number[] = [], upper: number[] = [], lower: number[] = [];\n for (let i = period - 1; i < closes.length; i++) {\n const slice = closes.slice(i - period + 1, i + 1);\n const avg = slice.reduce((a, b) => a + b, 0) / period;\n const variance = slice.reduce((a, b) => a + (b - avg) ** 2, 0) / period;\n const std = Math.sqrt(variance);\n middle.push(avg);\n upper.push(avg + std * mult);\n lower.push(avg - std * mult);\n }\n return { middle, upper, lower };\n}\n\nexport function vwap(candles: any[]): number[] {\n let tpv = 0, vol = 0;\n const out: number[] = [];\n for (const c of candles) {\n const tp = (c.high + c.low + c.close) / 3;\n tpv += tp * c.volume;\n vol += c.volume;\n out.push(vol === 0 ? c.close : tpv / vol);\n }\n return out;\n}\n\nexport function atr(candles: any[], period = 14): number {\n if (candles.length < period + 1) return 0;\n const trs: number[] = [];\n for (let i = 1; i < candles.length; i++) {\n trs.push(Math.max(\n candles[i].high - candles[i].low,\n Math.abs(candles[i].high - candles[i - 1].close),\n Math.abs(candles[i].low - candles[i - 1].close),\n ));\n }\n return trs.slice(-period).reduce((a, b) => a + b, 0) / period;\n}\n\nexport function stochastic(candles: any[], kP = 14, dP = 3) {\n const k: number[] = [];\n for (let i = kP - 1; i < candles.length; i++) {\n const slice = candles.slice(i - kP + 1, i + 1);\n const lo = Math.min(...slice.map((c: any) => c.low));\n const hi = Math.max(...slice.map((c: any) => c.high));\n const cur = candles[i].close;\n k.push(hi === lo ? 50 : ((cur - lo) / (hi - lo)) * 100);\n }\n const d: number[] = [];\n for (let i = dP - 1; i < k.length; i++) {\n d.push(k.slice(i - dP + 1, i + 1).reduce((a, b) => a + b, 0) / dP);\n }\n return { k, d };\n}\n\nexport function adx(candles: any[], period = 14) {\n if (candles.length < period + 2) return { adx: 0, plusDI: 0, minusDI: 0 };\n const trs: number[] = [], pDM: number[] = [], mDM: number[] = [];\n for (let i = 1; i < candles.length; i++) {\n const h = candles[i].high, l = candles[i].low, pc = candles[i - 1].close;\n const ph = candles[i - 1].high, pl = candles[i - 1].low;\n trs.push(Math.max(h - l, Math.abs(h - pc), Math.abs(l - pc)));\n pDM.push(h - ph > pl - l ? Math.max(h - ph, 0) : 0);\n mDM.push(pl - l > h - ph ? Math.max(pl - l, 0) : 0);\n }\n const aTR = trs.slice(-period).reduce((a, b) => a + b, 0) / period;\n const pDI = aTR > 0 ? (pDM.slice(-period).reduce((a, b) => a + b, 0) / period) / aTR * 100 : 0;\n const mDI = aTR > 0 ? (mDM.slice(-period).reduce((a, b) => a + b, 0) / period) / aTR * 100 : 0;\n const dx = (pDI + mDI) > 0 ? Math.abs(pDI - mDI) / (pDI + mDI) * 100 : 0;\n return { adx: isNaN(dx) ? 0 : dx, plusDI: pDI, minusDI: mDI };\n}\n\nexport function ichimoku(candles: any[]) {\n const tenkan: number[] = [], kijun: number[] = [], sA: number[] = [], sB: number[] = [];\n for (let i = 51; i < candles.length; i++) {\n const h9 = Math.max(...candles.slice(i - 8, i + 1).map((c: any) => c.high));\n const l9 = Math.min(...candles.slice(i - 8, i + 1).map((c: any) => c.low));\n const h26 = Math.max(...candles.slice(i - 25, i + 1).map((c: any) => c.high));\n const l26 = Math.min(...candles.slice(i - 25, i + 1).map((c: any) => c.low));\n const h52 = Math.max(...candles.slice(i - 51, i + 1).map((c: any) => c.high));\n const l52 = Math.min(...candles.slice(i - 51, i + 1).map((c: any) => c.low));\n const t = (h9 + l9) / 2, k = (h26 + l26) / 2;\n tenkan.push(t); kijun.push(k);\n sA.push((t + k) / 2); sB.push((h52 + l52) / 2);\n }\n return { tenkan, kijun, senkouA: sA, senkouB: sB };\n}\n",[],[149,189,207],"b5b4c7cf-d6bf-4cd7-88f1-a80e4e26fcdb",["D",1784415990161],[],[149,189,38],"fdd2701a-92e7-497c-a590-12f417ce3fc2","filters.ts","4fc1ebe4-82fd-11f1-8d46-1607ee4eb77e",7,["D",1784415990151],"import { adx, atr } from \"../indicators.ts\";\n\n// ── Regime Detector ──\nexport function detectRegime(timeframes: any) {\n const h1 = timeframes.h1;\n if (!h1 || h1.length < 28) return { regime: \"UNKNOWN\" as const, trend: \"NEUTRAL\" as const };\n const { adx: a } = adx(h1, 14);\n const aVal = atr(h1, 14);\n const avgRange = h1.slice(-20).reduce((acc: number, c: any) => acc + (c.high - c.low), 0) / 20;\n const volatility = avgRange > 0 ? aVal / avgRange : 0;\n if (a > 30 && volatility < 1.5) return { regime: \"TRENDING\", trend: \"STRONG\" };\n if (a < 20 && volatility < 1.2) return { regime: \"RANGING\", trend: \"NEUTRAL\" };\n if (volatility > 2.0) return { regime: \"VOLATILE\", trend: \"CHAOTIC\" };\n return { regime: \"MIXED\", trend: \"UNCERTAIN\" };\n}\n\n// ── Quality Filter ──\nexport function qualityFilter(results: any[], regime: any) {\n const active = results.filter((r) => r.signal !== \"NEUTRAL\");\n if (active.length < 3) return { pass: false, reason: \"Insufficient confluence (<3 strategies)\" };\n const buy = active.filter((r) => r.signal === \"BUY\").length;\n const sell = active.filter((r) => r.signal === \"SELL\").length;\n const agreement = Math.max(buy, sell) / active.length;\n if (agreement < 0.6) return { pass: false, reason: \"Low directional agreement\" };\n if (regime.regime === \"VOLATILE\" && agreement < 0.75)\n return { pass: false, reason: \"Volatile regime requires higher agreement\" };\n const avgConf = active.reduce((a: number, r: any) => a + r.confidence, 0) / active.length;\n if (avgConf < 55) return { pass: false, reason: \"Average confidence too low\" };\n return { pass: true, agreement, avgConfidence: avgConf };\n}\n\n// ── Confluence Scorer ──\nexport function confluenceScore(results: any[]) {\n const active = results.filter((r) => r.signal !== \"NEUTRAL\");\n if (active.length === 0) return { confidence: 0, score: 0 };\n const buyScore = active.filter((r) => r.signal === \"BUY\").reduce((a: number, r: any) => a + r.score, 0);\n const sellScore = active.filter((r) => r.signal === \"SELL\").reduce((a: number, r: any) => a + r.score, 0);\n const net = Math.abs(buyScore - sellScore);\n const max = active.reduce((a: number, r: any) => a + r.score, 0);\n return { confidence: Math.round(max > 0 ? (net / max) * 100 : 0), score: net };\n}\n\n// ── Signal Strength ──\nexport function signalStrength(results: any[], regime: any) {\n const active = results.filter((r) => r.signal !== \"NEUTRAL\");\n const avg = active.length > 0 ? active.reduce((a: number, r: any) => a + r.score, 0) / active.length : 0;\n let strength = \"WEAK\";\n if (avg > 70) strength = \"STRONG\";\n else if (avg > 55) strength = \"MODERATE\";\n if (regime.regime === \"TRENDING\" && strength === \"MODERATE\") strength = \"STRONG\";\n return { strength: strength as \"STRONG\" | \"MODERATE\" | \"WEAK\", avgScore: avg };\n}\n",[],[149,189,218],"b5cd9ee1-3d6d-4ad6-b5e7-c1c49a201b7a","db.ts","fc19b666-82fc-11f1-b702-1607ee4eb77e",3,["D",1784415849799],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nexport async function initDB() {\n await sqlite.batch([\n { sql: `CREATE TABLE IF NOT EXISTS api_keys (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n api_key TEXT UNIQUE NOT NULL,\n daily_limit INTEGER DEFAULT 800,\n used_today INTEGER DEFAULT 0,\n last_used INTEGER DEFAULT 0,\n is_active INTEGER DEFAULT 1,\n priority INTEGER DEFAULT 0\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS trades (\n id TEXT PRIMARY KEY,\n timestamp INTEGER,\n strategy_id TEXT,\n strategy_name TEXT,\n direction TEXT,\n entry_price REAL,\n exit_price REAL,\n quantity REAL,\n pnl REAL,\n pnl_percent REAL,\n confidence REAL,\n notes TEXT\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS strategy_performance (\n strategy_id TEXT PRIMARY KEY,\n wins INTEGER DEFAULT 0,\n losses INTEGER DEFAULT 0,\n pnl REAL DEFAULT 0,\n updated_at INTEGER\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS scanner_results (\n timestamp INTEGER PRIMARY KEY,\n scan_data TEXT\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS paper_portfolio (\n id INTEGER PRIMARY KEY CHECK (id = 1),\n balance REAL DEFAULT 100000,\n equity REAL DEFAULT 100000,\n open_pnl REAL DEFAULT 0,\n total_trades INTEGER DEFAULT 0,\n updated_at INTEGER\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS paper_positions (\n id TEXT PRIMARY KEY,\n strategy_id TEXT,\n direction TEXT,\n entry_price REAL,\n quantity REAL,\n stop_loss REAL,\n take_profit REAL,\n open_time INTEGER,\n pnl REAL DEFAULT 0\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS marketplace_strategies (\n id TEXT PRIMARY KEY,\n name TEXT,\n description TEXT,\n price REAL,\n seller TEXT,\n purchases INTEGER DEFAULT 0\n )` },\n { sql: `CREATE TABLE IF NOT EXISTS marketplace_purchases (\n user_id TEXT,\n strategy_id TEXT,\n purchased_at INTEGER,\n PRIMARY KEY (user_id, strategy_id)\n )` },\n { sql: `CREATE INDEX IF NOT EXISTS idx_trades_ts ON trades(timestamp)` },\n { sql: `CREATE INDEX IF NOT EXISTS idx_trades_strat ON trades(strategy_id)` },\n { sql: `CREATE INDEX IF NOT EXISTS idx_perf_strat ON strategy_performance(strategy_id)` },\n { sql: `CREATE INDEX IF NOT EXISTS idx_positions_open ON paper_positions(open_time)` },\n ]);\n\n const existing = await sqlite.execute(\"SELECT 1 FROM paper_portfolio LIMIT 1\");\n if (existing.rows.length === 0) {\n await sqlite.execute({\n sql: \"INSERT INTO paper_portfolio (id, balance, equity, updated_at) VALUES (1, 100000, 100000, ?)\",\n args: [Date.now()],\n });\n }\n}\n\nexport { sqlite };\n",[],[149,189,226],"033486cf-ba5c-45e3-816b-e7d91dd875ae","api-key-manager.ts","06133890-82fd-11f1-9b13-1607ee4eb77e",4,["D",1784415866533],"import { sqlite } from \"./db.ts\";\n\nexport async function initKeysFromEnv() {\n const keys = Deno.env.get(\"TWELVE_DATA_API_KEYS\");\n if (!keys) return;\n for (const key of keys.split(\",\").map((k) => k.trim()).filter(Boolean)) {\n await sqlite.execute({\n sql: \"INSERT OR IGNORE INTO api_keys (api_key, daily_limit) VALUES (?, 800)\",\n args: [key],\n });\n }\n}\n\nexport async function getNextKey(): Promise {\n const now = Date.now();\n const dayStart = new Date().setHours(0, 0, 0, 0).getTime();\n\n // Reset daily counters\n await sqlite.execute({\n sql: \"UPDATE api_keys SET used_today = 0 WHERE last_used < ?\",\n args: [dayStart],\n });\n\n const result = await sqlite.execute(\n `SELECT api_key FROM api_keys WHERE is_active = 1 AND used_today < daily_limit ORDER BY used_today ASC, priority ASC LIMIT 1`,\n );\n if (result.rows.length === 0) return null;\n\n const key = result.rows[0].api_key as string;\n await sqlite.execute({\n sql: \"UPDATE api_keys SET used_today = used_today + 1, last_used = ? WHERE api_key = ?\",\n args: [now, key],\n });\n return key;\n}\n\nexport async function exhaustKey(key: string) {\n await sqlite.execute({\n sql: \"UPDATE api_keys SET used_today = daily_limit, last_used = ? WHERE api_key = ?\",\n args: [Date.now(), key],\n });\n}\n\nexport async function addApiKey(key: string, limit = 800) {\n await sqlite.execute({\n sql: \"INSERT OR IGNORE INTO api_keys (api_key, daily_limit) VALUES (?, ?)\",\n args: [key, limit],\n });\n}\n\nexport async function removeApiKey(key: string) {\n await sqlite.execute({ sql: \"DELETE FROM api_keys WHERE api_key = ?\", args: [key] });\n}\n\nexport async function getApiKeysStatus() {\n const result = await sqlite.execute(\n \"SELECT api_key, used_today, daily_limit, is_active FROM api_keys\",\n );\n return result.rows;\n}\n",[],[149,189,234],"59a1f1be-0f9d-4ba0-8755-8b946c559a50",["D",1784415787311],[167,168,169,170,171,172,173,174],[149,189],["D",1784415787311],[166],[149],["D",1784414655544],["D",1789472446807],{"_105":104,"_113":109},{"_105":104,"_106":107,"_108":109,"_19":60,"_110":111,"_112":30},{"_13":94,"_37":95,"_48":47,"_96":49,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":50,"_103":104},"ctx",{"_87":-5,"_133":286,"_287":288,"_289":290,"_291":30,"_292":30,"_293":30,"_294":64,"_295":-5,"_296":-7,"_297":-7,"_298":68,"_299":30,"_300":30,"_301":-5,"_302":30,"_303":30,"_304":30,"_305":-5},"ENV",{"_257":258,"_259":260,"_261":95,"_262":263,"_264":265,"_266":267,"_268":269,"_270":271,"_272":273,"_274":275,"_276":277,"_278":279,"_280":281,"_282":283,"_284":285},"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 · v9