[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_165":166,"_167":168},"routes/_app.x.$handle.$name",{"_95":94,"_31":43,"_104":85,"_26":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":24,"_119":120,"_121":24,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":55,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":24},"version",3,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":27,"_32":33,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path","prestate.ts","latestPath","fileId","aa755104-ab2d-11f1-a326-1607ee4eb77e","name","fileType","script","content","import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\ntype Bar = { timestamp: number; open: number; high: number; low: number; close: number; volume?: number };\ntype Pivot = { type: \"H\" | \"L\"; timestamp: number; price: number; index: number };\n\nconst samples = [\"2014-06-10\", \"2014-06-24\", \"2014-06-26\"];\n\nfunction emaSeries(closes: number[], period: number): (number | null)[] {\n const out: (number | null)[] = Array(closes.length).fill(null);\n if (closes.length < period) return out;\n let seed = 0;\n for (let i = 0; i < period; i++) seed += closes[i];\n let ema = seed / period;\n out[period - 1] = ema;\n const alpha = 2 / (period + 1);\n for (let i = period; i < closes.length; i++) {\n ema = closes[i] * alpha + ema * (1 - alpha);\n out[i] = ema;\n }\n return out;\n}\n\nfunction pivots(bars: Bar[]): Pivot[] {\n const result: Pivot[] = [];\n for (let i = 2; i <= bars.length - 3; i++) {\n const b = bars[i];\n const isHigh = b.high > bars[i-1].high && b.high > bars[i-2].high && b.high >= bars[i+1].high && b.high >= bars[i+2].high;\n const isLow = b.low < bars[i-1].low && b.low < bars[i-2].low && b.low <= bars[i+1].low && b.low <= bars[i+2].low;\n if (isHigh) result.push({ type: \"H\", timestamp: b.timestamp, price: b.high, index: i });\n if (isLow) result.push({ type: \"L\", timestamp: b.timestamp, price: b.low, index: i });\n }\n result.sort((a,b) => a.timestamp - b.timestamp || (a.type === \"L\" ? -1 : 1));\n return result;\n}\n\nfunction latestN(ps: Pivot[], regime: string) {\n const wanted = regime === \"Up\" ? [\"L\",\"H\",\"L\"] : regime === \"Down\" ? [\"H\",\"L\",\"H\"] : [];\n if (!wanted.length) return null;\n for (let i = ps.length - 3; i >= 0; i--) {\n const tri = [ps[i], ps[i+1], ps[i+2]];\n if (tri[0].type === wanted[0] && tri[1].type === wanted[1] && tri[2].type === wanted[2]) return tri;\n }\n return null;\n}\n\nfunction iso(ts: number | null | undefined) { return ts == null ? null : new Date(ts).toISOString(); }\n\nconst results: any[] = [];\nfor (const sample of samples) {\n const t0 = new Date(`${sample}T00:00:00Z`);\n const from = new Date(t0.getTime() - 16 * 24 * 60 * 60 * 1000);\n const h1All = await getHistoricalRates({ instrument: \"gbpjpy\", dates: { from, to: t0 }, timeframe: \"h1\", format: \"json\", priceType: \"bid\" } as any) as Bar[];\n const m15All = await getHistoricalRates({ instrument: \"gbpjpy\", dates: { from, to: t0 }, timeframe: \"m15\", format: \"json\", priceType: \"bid\" } as any) as Bar[];\n const h1Filtered = h1All.filter((b:any) => Number(b.timestamp) < t0.getTime()).sort((a:any,b:any)=>a.timestamp-b.timestamp);\n const m15Filtered = m15All.filter((b:any) => Number(b.timestamp) < t0.getTime()).sort((a:any,b:any)=>a.timestamp-b.timestamp);\n const h1 = h1Filtered.slice(-225);\n const m15 = m15Filtered.slice(-384);\n if (h1.length < 225 || m15.length < 384) throw new Error(`${sample}: insufficient pre-t0 bars h1=${h1.length} m15=${m15.length}`);\n const closes = h1.map((b:any)=>Number(b.close));\n const ema25 = emaSeries(closes,25);\n const ema75 = emaSeries(closes,75);\n const last = h1.length-1;\n const lastClose = closes[last];\n const e25 = ema25[last]!;\n const e75 = ema75[last]!;\n const e75m6 = ema75[last-6]!;\n let regime = \"Mixed\";\n if (lastClose > e25 && e25 > e75 && e75 > e75m6) regime = \"Up\";\n else if (lastClose < e25 && e25 < e75 && e75 < e75m6) regime = \"Down\";\n const h1P = pivots(h1);\n const channelType = regime === \"Up\" ? \"L\" : regime === \"Down\" ? \"H\" : null;\n const channelPivots = channelType ? h1P.filter(p=>p.type===channelType).slice(-2) : [];\n const eligible = regime !== \"Mixed\" && channelPivots.length === 2;\n let slopePerHour: number | null = null;\n if (channelPivots.length===2) {\n const dtHours=(channelPivots[1].timestamp-channelPivots[0].timestamp)/3600000;\n slopePerHour=(channelPivots[1].price-channelPivots[0].price)/dtHours;\n }\n const m15P=pivots(m15);\n const n=latestN(m15P,regime);\n const wTarget=n ? n[2].price + (n[1].price-n[0].price) : null;\n results.push({\n sample,\n t0: t0.toISOString(),\n requestFrom: from.toISOString(),\n maxH1Timestamp: iso(Math.max(...h1Filtered.map((b:any)=>Number(b.timestamp)))),\n maxM15Timestamp: iso(Math.max(...m15Filtered.map((b:any)=>Number(b.timestamp)))),\n h1CountUsed:h1.length,\n m15CountUsed:m15.length,\n lastH1Timestamp:iso(h1[last].timestamp),\n lastClose, ema25:e25, ema75:e75, ema75Minus6h:e75m6,\n regime, eligible,\n h1Pivot1:channelPivots[0] ? {type:channelPivots[0].type,time:iso(channelPivots[0].timestamp),price:channelPivots[0].price}:null,\n h1Pivot2:channelPivots[1] ? {type:channelPivots[1].type,time:iso(channelPivots[1].timestamp),price:channelPivots[1].price}:null,\n mSlopePerHour:slopePerHour,\n nPattern:n ? n.map(p=>({type:p.type,time:iso(p.timestamp),price:p.price})) : null,\n wTarget,\n revealAllowed: true,\n safety: {\n allH1BeforeT0: Math.max(...h1Filtered.map((b:any)=>Number(b.timestamp))) < t0.getTime(),\n allM15BeforeT0: Math.max(...m15Filtered.map((b:any)=>Number(b.timestamp))) < t0.getTime()\n }\n });\n}\nconsole.log(JSON.stringify({proxyVersion:\"v13-prestate-1\", results}));\nexport default results;\n","createdAt",["D",1788834804636],"branchVersion","branchId","6bbdbea8-513d-480c-97fc-7ab636748a74","id","34627082-e4ec-4c54-a463-3ea218b5d496","gbpjpy-oos-audit-v13",["D",1788834734388],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Blind GBPJPY OOS data audit helper","imageUrl","47f1b7b4-c108-4fa5-8aba-913110c95502","pinnedFileId","bdbfc370-ab32-11f1-8e2e-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","01a07b92-c2cd-7644-a780-c6e700a37c2f","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_103":99},"org",{"_95":94,"_96":97,"_98":99,"_18":53,"_100":101,"_102":24},"branch",{"_13":84,"_31":85,"_41":40,"_86":42,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":43,"_93":94},"isOwned",29,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","kannsai22","handle","displayName","ふと","avatar","https://lh3.googleusercontent.com/a/ACg8ocLL18W68tCZvZ3sbIe6KR0hM5jXrvzEezgYBEh-qXEUWWMb1yvP=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_41":42,"_31":43,"_36":161,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":55,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":162,"_79":163,"_81":164,"_83":24},"tree",[152,153],"files",[152,153],"counts",{"_142":61,"_143":139,"_144":61,"_145":146,"_147":148},"contents",[126,127],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_41":134,"_31":135,"_29":136,"_129":-5,"_39":40,"_38":137,"_130":57,"_36":138,"_13":139,"_32":33,"_34":140,"_23":24,"_132":-5,"_26":141},{"_41":128,"_31":27,"_29":30,"_129":-5,"_39":40,"_38":14,"_130":24,"_36":131,"_13":61,"_32":33,"_34":35,"_23":24,"_132":-5,"_26":133},"c7d2cd82-86b3-4697-93e9-72692cff507e","parentId","latest",["D",1788834804636],"label",[27],"48b664e6-0e26-4ad1-b7f6-4af1ef4268e7","main.ts","80997036-ab2d-11f1-a479-1607ee4eb77e",2,["D",1788834755607],1,"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\nconst from = new Date(\"2014-06-09T00:00:00Z\");\nconst to = new Date(\"2014-06-10T00:00:00Z\");\nconst data: any[] = await getHistoricalRates({\n instrument: \"gbpjpy\",\n dates: { from, to },\n timeframe: \"m15\",\n format: \"json\",\n priceType: \"bid\",\n} as any);\nconst timestamps = data.map((x: any) => Number(x.timestamp));\nconst result = {\n ok: true,\n count: data.length,\n from: from.toISOString(),\n toExclusive: to.toISOString(),\n firstTimestamp: data.length ? new Date(Math.min(...timestamps)).toISOString() : null,\n maxTimestamp: data.length ? new Date(Math.max(...timestamps)).toISOString() : null,\n maxIsBeforeTo: data.length ? Math.max(...timestamps) < to.getTime() : true,\n first: data[0] ?? null,\n last: data.at(-1) ?? null,\n};\nconsole.log(JSON.stringify(result));\nexport default result;\n",[135],"pulls","branches","forks","envVars",{"_149":61,"_151":61},"connections",{"_149":61,"_150":61},"count","unfilledCount","emptyCount",{"_41":134,"_31":135,"_29":136,"_129":-5,"_39":40,"_38":137,"_130":57,"_36":158,"_13":139,"_32":33,"_34":140,"_23":24,"_132":-5,"_155":159,"_26":160},{"_41":128,"_31":27,"_29":30,"_129":-5,"_39":40,"_38":14,"_130":24,"_36":154,"_13":61,"_32":33,"_34":35,"_23":24,"_132":-5,"_155":156,"_26":157},["D",1788834804636],"children",[],[27],["D",1788834755607],[],[135],["D",1788834734388],{"_95":94,"_103":99},{"_95":94,"_96":97,"_98":99,"_18":53,"_100":101,"_102":24},{"_13":84,"_31":85,"_41":40,"_86":42,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":43,"_93":94},"ctx",{"_77":-5,"_123":198,"_199":200,"_201":202,"_203":24,"_204":24,"_205":24,"_206":57,"_207":-5,"_208":-7,"_209":-7,"_210":61,"_211":24,"_212":24,"_213":-5,"_214":24,"_215":24,"_216":24,"_217":-5},"ENV",{"_169":170,"_171":172,"_173":85,"_174":175,"_176":177,"_178":179,"_180":181,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195,"_196":197},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","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 · v3