[{"_1":2,"_620":-5,"_621":-5},"loaderData",{"_3":4,"_8":9},"root",{"_5":-5,"_6":7},"userID","isAuthenticated",false,"routes/share.$workflowId",{"_6":7,"_10":11,"_12":13,"_617":454,"_618":7,"_619":569},"csrfToken","8fcc2d52-125b-4273-bf44-e5f080409a8f","workflow",{"_14":15,"_16":17,"_18":19,"_20":21,"_596":597,"_613":614,"_615":616},"id","724e6f2a-f93b-4134-98ee-c0103ad27ecd","name","AI Stock News Analyzer & Alert","description","Runs every 30 minutes. Collects stock news from RSS feeds and HackerNews, logs all articles to Google Sheets, then processes **one unsummarized article per run** through GPT-4o-mini — extracting sentiment, tickers, and market impact — and fires a Telegram alert. Open the **Interface** tab to view the live dashboard.\n\n---\n\n**Flow overview:** Trigger → Collect articles → Log to sheet → Find next unsummarized → AI analysis → Save + Alert","workflow_data",{"_22":23,"_119":120,"_569":570,"_589":590},"edges",[24,32,36,39,43,46,51,54,57,61,64,67,70,73,75,78,80,83,85,89,92,95,98,101,104,107,109,112,114,117],{"_14":25,"_26":27,"_28":29,"_30":31},"e_0x44","source","conditional_f2ty","target","set-variable_5t3k","sourceHandle","false",{"_14":33,"_26":27,"_28":34,"_30":35},"e_iizl","agent_h8n9","true",{"_14":37,"_26":34,"_28":38},"e_ltfq","serverless-function_glor",{"_14":40,"_26":41,"_28":42},"e_ql0d","merge_ah0r","serverless-function_6gxz",{"_14":44,"_26":42,"_28":45},"e_wk46","sheets_m9bo",{"_14":47,"_26":48,"_28":49,"_30":50},"e_usi1","iteration_wsgi","rss_h2p0","loop",{"_14":52,"_26":48,"_28":41,"_30":53},"e_i56d","done",{"_14":55,"_26":45,"_28":56},"e_o2tg","sheets_j1gm",{"_14":58,"_26":59,"_28":60},"e_zi80","sheets_tad7","telegram_dwar",{"_14":62,"_26":63,"_28":41},"e_7n9k","hackernews_sul1",{"_14":65,"_26":60,"_28":66},"e_ukbm","log_0kp4",{"_14":68,"_26":69,"_28":63},"e_ysfd","trigger-run_okzw",{"_14":71,"_26":69,"_28":72},"e_crha","interface-config-form_lunm",{"_14":74,"_26":72,"_28":48},"e_pkzz",{"_14":76,"_26":49,"_28":77},"e_hndf","serverless-function_ep17",{"_14":79,"_26":77,"_28":48},"e_7gbz",{"_14":81,"_26":56,"_28":82},"e_eim0","serverless-function_owqv",{"_14":84,"_26":82,"_28":27},"e_1k4h",{"_14":86,"_26":87,"_28":88},"e_q5v5","setup_ct6s","interface-form_6wr3",{"_14":90,"_26":88,"_28":91},"e_nsal","sheets_lpj1",{"_14":93,"_26":91,"_28":94},"e_1baz","sheets_mimn",{"_14":96,"_26":94,"_28":97},"e_4ocu","set-variable_9vrb",{"_14":99,"_26":97,"_28":100},"e_46eu","interface-form_qale",{"_14":102,"_26":100,"_28":103},"e_6vqh","set-variable_217y",{"_14":105,"_26":38,"_28":106},"e_pko3","serverless-function_ks24",{"_14":108,"_26":106,"_28":59},"e_93d1",{"_14":110,"_26":69,"_28":111},"e_lppx","interface-config-form_iu96",{"_14":113,"_26":111,"_28":48},"xy-edge__interface-config-form_iu96-iteration_wsgi",{"_14":115,"_26":88,"_28":116},"xy-edge__interface-form_6wr3-set-variable_lo94","set-variable_lo94",{"_14":118,"_26":116,"_28":91},"xy-edge__set-variable_lo94-sheets_lpj1","nodes",[121,141,151,160,169,178,187,207,221,228,245,255,262,282,297,309,319,331,348,363,371,378,394,400,415,426,437,444,461,472,483,497,513,526,543,557],{"_14":122,"_123":124,"_125":126,"_127":128,"_133":134,"_135":136},"note_xi4b","type","stickyNote","width",2586,"config",{"_129":130,"_131":132},"color",8,"content","## 1 · Data Collection\nPulls fresh stock news from two sources in parallel, normalizes everything into flat rows, and appends them to the tracker sheet.\n\n- **HackerNews Finance** — searches recent stories tagged with stock / finance / investment keywords\n- **Manage RSS Feeds** — configurable list of feed URLs (Google News searches, Reddit, etc.)\n- **For Each RSS Feed** — iterates every URL in the feed list sequentially\n- **Parse RSS Feed** — fetches and parses each feed; `only_new_items` prevents re-processing old articles\n- **Slim RSS Entries** — strips raw RSS data down to title, link, and published date (keeps payloads small for the merge)\n- **Merge All Sources** — combines HackerNews hits + all RSS entries into one unified stream\n- **Extract Article Data** — normalizes all sources into `[Date, Source, Title, URL]` rows; auto-resolves Google News redirect URLs\n- **Log Article to Sheet** — appends the full batch of new rows to the spreadsheet in one call","height",1258,"position",{"_137":138,"_139":140},"x",379.2557394783207,"y",1462.1591287545489,{"_14":142,"_123":124,"_125":143,"_127":144,"_133":147,"_135":148},"note_6cq6",1979,{"_129":130,"_131":145,"_146":7},"@[youtube](https://youtu.be/F1IyzfehMCE)","isEditing",1120,{"_137":149,"_139":150},377.0165268207081,2735.163684146314,{"_14":152,"_123":124,"_125":153,"_127":154,"_133":156,"_135":157},"note_n5bf",1746,{"_129":130,"_131":155},"## 2 · AI Analysis Pipeline\nProcesses **one unsummarized article per run** — finds the first row with an empty Summary column (E), runs it through GPT-4o-mini, writes results back to the exact sheet row, and fires a Telegram alert.\n\n- **Check Existing Summaries** — reads the full sheet (`A:Z`) to find rows missing column E\n- **Extract Row Data** — iterates rows to find the first where `row[4]` is empty; returns `rowIndex` (1-based), title, URL, and source\n- **Needs Summary?** — `status == \"pending\"` → AI pipeline · `\"done\"` → skip branch (nothing left to process)\n- **Summarize and Analyze** — GPT-4o-mini receives the article title + URL and returns structured analysis\n- **Parse AI Response** — regex-extracts `Summary`, `Sentiment`, `Tickers`, and `Impact` from the agent's text output\n- **Save Summary to Sheet** — `update` operation writes columns E–H for the exact row using the dynamic `rowIndex` — no duplicate rows\n- **Send Telegram Alert** — delivers article title, full AI analysis, source name, and original link to your Telegram channel",1252,{"_137":158,"_139":159},2983.6374584408645,1469.8332022763545,{"_14":161,"_123":124,"_125":162,"_127":163,"_133":165,"_135":166},"note_cu4d",2081,{"_129":130,"_131":164},"## Setup Flow\nRun **once** to create your tracker spreadsheet and save credentials as workflow variables. Never needs to run again.\n\n1. **Google Sheets** — connect your Google account; a \"Stock News Tracker\" spreadsheet is created automatically with columns: `Date · Source · Title · URL · Summary · Sentiment · Ticker · Impact`\n2. **Save Sheet Settings** — stores spreadsheet ID + credential as `{{vars.Sheet-ID}}` and `{{vars.Sheets-Cred}}`\n3. **Telegram Settings** — connect your Telegram bot token and enter the Chat ID where alerts should land\n4. **Save Telegram Settings** — stores bot token + chat ID as `{{vars.Telegram-Cred}}` and `{{vars.Telegram-Chat}}`\n\n> After setup, trigger the main workflow manually or configure a schedule (every 30 min recommended).",747,{"_137":167,"_139":168},388.4006851743525,696.558744330136,{"_14":170,"_123":124,"_125":171,"_127":172,"_133":174,"_135":175},"note_5ctg",1789,{"_129":130,"_131":173},"## Dashboard\nStandalone — triggered by opening the **Interface** tab, not wired to the main automation. Refreshes on demand via the Refresh button.\n\n- **Load Dashboard Data** — reads the full tracker sheet each time the dashboard opens or is refreshed\n- **Stock News Dashboard** — filterable table showing all tracked articles; click any row to expand the full AI-generated summary\n - Sentiment badges: **Bullish** (green) · **Bearish** (red) · **Neutral** (grey) · **Pending** (no analysis yet)\n - Ticker tags: comma-separated tickers split into individual pill badges (e.g. `AAPL` `MSFT` `NVDA`)\n - Impact rating: **High** (orange) · **Medium** (yellow) · **Low** (grey)\n - Filter by Bullish / Bearish / Pending using the stat cards at the top",794,{"_137":176,"_139":177},2373.0360673893047,2732.9935501070477,{"_14":179,"_123":124,"_125":180,"_127":181,"_133":183,"_135":184},"note_6a37",537,{"_129":130,"_131":182},"## My Stock Watchlist\nSet your personal ticker watchlist. Articles mentioning your tickers get a 🔔 WATCHLIST prefix in Telegram alerts and a dedicated **Portfolio** tab in the dashboard with per-ticker sentiment scorecards.",545,{"_137":185,"_139":186},1046.6347543168356,1716.5111601675678,{"_14":45,"_123":188,"_127":189,"_135":204},"automation-google-sheets",{"_190":191,"_192":193,"_194":195,"_196":197,"_198":199,"_200":201,"_202":203},"label","Log Article to Sheet","range","A:Z","values","{{serverless-function_6gxz.result}}","operation","append","sheet_name","Sheet1","spreadsheet_id","{{vars.Sheet-ID}}","value_input_option","USER_ENTERED",{"_137":205,"_139":206},2544.9424175882477,2142.366697888834,{"_14":41,"_123":208,"_127":209,"_135":218},"merge",{"_210":197,"_190":211,"_127":212,"_196":197,"_215":216,"_217":216},"mode","Merge All Sources",{"_210":197,"_213":214,"_215":216,"_217":216},"_executionId","93cd4d59-fc52-483c-be71-d982c16ef10c","join_field_1","","join_field_2",{"_137":219,"_139":220},2110.026149244909,2137.5219066659774,{"_14":56,"_123":188,"_127":222,"_135":225},{"_190":223,"_192":193,"_196":224,"_198":199,"_200":201},"Check Existing Summaries","read",{"_137":226,"_139":227},2786.5891086370334,2104.350780145129,{"_14":60,"_123":229,"_127":230,"_135":242},"automation-telegram",{"_190":231,"_232":233,"_127":234,"_235":236,"_237":238,"_196":241,"_239":240},"Send Telegram Alert","chatId"," {{vars.Telegram-Chat}}",{"_232":233,"_235":236,"_237":238,"_239":240,"_213":214},"chat_id","{{vars.Telegram-Chat}}","message","{{serverless-function_ks24.result.alert_prefix}}Stock News Alert\n\n{{serverless-function_owqv.result.title}}\n\n{{agent_h8n9.response}}\n\nSource: {{serverless-function_owqv.result.source}}\nLink: {{serverless-function_owqv.result.url}}","parse_mode","HTML","send_to_chat_id",{"_137":243,"_139":244},4328.532767854955,1973.0750140763855,{"_14":59,"_123":188,"_127":246,"_135":252},{"_190":247,"_192":248,"_127":249,"_194":250,"_196":224,"_198":199,"_200":201,"_202":203},"Save Summary to Sheet","Sheet1!E{{serverless-function_owqv.result.rowIndex}}:H{{serverless-function_owqv.result.rowIndex}}",{"_192":248,"_194":250,"_196":251,"_198":199,"_213":214,"_200":201,"_202":203},"[[\"{{serverless-function_glor.result.summary}}\",\"{{serverless-function_glor.result.sentiment}}\",\"{{serverless-function_glor.result.tickers}}\",\"{{serverless-function_glor.result.impact}}\"]]","update",{"_137":253,"_139":254},4142.2525858612225,1967.376804379357,{"_14":29,"_123":256,"_127":257,"_135":259},"set-variable",{"_190":258},"Already Summarized — Skip",{"_137":260,"_139":261},3459.174860739668,2203.718949902679,{"_14":42,"_123":263,"_127":264,"_135":279},"automation-serverless-function",{"_190":265,"_127":266,"_196":276,"_268":269,"_270":277},"Extract Article Data",{"_213":267,"_268":269,"_270":271},"6a9314b8-fd71-483c-b08d-6f8e22d34e22","function_body","const data = inputs.data;\nif (!data) return [];\n\nconst processEntry = (entry, feedTitle) => {\n const link = entry.link || '';\n let realUrl = link;\n if (link.includes('google.com/url')) {\n try { realUrl = new URL(link).searchParams.get('url') || link; } catch(e) {}\n }\n return [\n entry.published || new Date().toISOString(),\n feedTitle || 'RSS Feed',\n entry.title || '',\n realUrl\n ];\n};\n\nconst rows = [];\nconst merged = data.merged || (Array.isArray(data) ? data : [data]);\n\nfor (const src of (Array.isArray(merged) ? merged : [])) {\n if (src.collected_results) {\n for (const feedItem of (Array.isArray(src.collected_results) ? src.collected_results : [])) {\n const feedOut = feedItem.lastOutput || feedItem;\n const feedTitle = feedOut.feed_title || (feedOut.feed && feedOut.feed.title) || 'RSS Feed';\n for (const entry of (Array.isArray(feedOut.entries) ? feedOut.entries : [])) {\n rows.push(processEntry(entry, feedTitle));\n }\n }\n continue;\n }\n if (src.hits) {\n for (const hit of (Array.isArray(src.hits) ? src.hits : [])) {\n rows.push([\n hit.created_at || new Date().toISOString(),\n 'HackerNews',\n hit.title || hit.story_title || '',\n hit.url || hit.story_url || ''\n ]);\n }\n continue;\n }\n if (src.entries) {\n const feedTitle = src.feed_title || (src.feed && src.feed.title) || 'RSS Feed';\n for (const entry of (Array.isArray(src.entries) ? src.entries : [])) {\n rows.push(processEntry(entry, feedTitle));\n }\n }\n}\n\nreturn rows;","function_inputs",[272],{"_16":273,"_274":275},"data","value","{{merge_ah0r.merged}}","javascript",[278],{"_16":273,"_274":275},{"_137":280,"_139":281},2334.9424175882477,2142.669507876495,{"_14":27,"_123":283,"_127":284,"_135":294},"conditional",{"_190":285,"_286":287,"_288":7,"_289":216,"_290":291,"_292":293},"Needs Summary?","input_data","{{serverless-function_owqv.result.status}}","case_sensitive","condition_field","condition_value","pending","condition_operator","equals",{"_137":295,"_139":296},3260.553576062174,2029.3566820464248,{"_14":72,"_123":298,"_125":299,"_127":300,"_133":305,"_135":306},"interface-config-form",372,{"_190":301,"_302":303,"_194":304},"Manage RSS Feeds","fields","[{\"name\":\"rss_feeds\",\"type\":\"list\",\"label\":\"RSS Feed URLs\",\"description\":\"Add or remove RSS feed URLs. The workflow checks each feed every 30 minutes for new stock news.\",\"default\":[\"https://news.google.com/rss/search?q=stock+acquisition+merger&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+buyback+repurchase&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=NVDA+NVIDIA+stock&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+earnings+report+quarterly&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+market+analysis&hl=en-US&gl=US&ceid=US:en\",\"https://www.reddit.com/r/stocks/new/.rss\",\"https://www.reddit.com/r/investing/new/.rss\",\"https://www.reddit.com/r/StockMarket/new/.rss\",\"https://www.reddit.com/r/wallstreetbets/new/.rss\",\"https://www.reddit.com/r/finance/new/.rss\"]}]","{\"rss_feeds\":[\"https://news.google.com/rss/search?q=stock+acquisition+merger&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+buyback+repurchase&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=NVDA+NVIDIA+stock&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+earnings+report+quarterly&hl=en-US&gl=US&ceid=US:en\",\"https://news.google.com/rss/search?q=stock+market+analysis&hl=en-US&gl=US&ceid=US:en\",\"https://www.reddit.com/r/stocks/new/.rss\",\"https://www.reddit.com/r/investing/new/.rss\",\"https://www.reddit.com/r/StockMarket/new/.rss\",\"https://www.reddit.com/r/wallstreetbets/new/.rss\",\"https://www.reddit.com/r/finance/new/.rss\"]}",368,{"_137":307,"_139":308},1145.758584200631,2297.0528998117143,{"_14":48,"_123":310,"_127":311,"_135":316},"iteration",{"_312":313,"_190":314,"_286":315},"items","{{interface-config-form_lunm.values.rss_feeds}}","For Each RSS Feed","{{interface-config-form_lunm.rss_feeds}}",{"_137":317,"_139":318},1691.556546955867,2167.907493516019,{"_14":49,"_123":320,"_127":321,"_135":328},"automation-rss",{"_190":322,"_323":324,"_325":326,"_327":35},"Parse RSS Feed","action","parse_feed","feed_url","{{iteration_wsgi.item}}","only_new_items",{"_137":329,"_139":330},1886.9446350612589,2337.7098206593055,{"_14":34,"_123":332,"_127":333,"_135":345},"agent",{"_334":335,"_190":336,"_337":338,"_237":339,"_18":340,"_341":342,"_343":344},"goal","AI Agent","Summarize and Analyze","model","openrouter/openai/gpt-4o-mini","Analyze this stock news article:\n\nTitle: {{serverless-function_owqv.result.title}}\nURL: {{serverless-function_owqv.result.url}}\n\nProvide:\n1. Summary (2-3 sentences, key facts only)\n2. Sentiment: Bullish / Bearish / Neutral\n3. Tickers mentioned (comma-separated)\n4. Impact: High / Medium / Low\n\nFormat:\nSummary: [text]\nSentiment: [value]\nTickers: [values]\nImpact: [value]","LangChain agent (1 nodes collapsed)","temperature",0.3,"system_prompt","You are a concise financial news analyst. You summarize stock articles and assess market sentiment.",{"_137":346,"_139":347},3482.1791558298482,1921.909022716702,{"_14":63,"_123":349,"_127":350,"_135":360},"automation-hackernews",{"_351":352,"_190":353,"_354":355,"_196":356,"_357":358,"_359":216},"tags","story","HackerNews Finance","query","stock market finance earnings investment","search_by_date","hits_per_page",20,"mcpAnimationState",{"_137":361,"_139":362},1692.8347663632076,1776.3320878856478,{"_14":66,"_123":364,"_127":365,"_135":368},"log",{"_190":366,"_237":367},"Log Alert","{{vars.setup_completed}}",{"_137":369,"_139":370},4539.237004145322,1971.505985172889,{"_14":372,"_123":188,"_127":373,"_135":375},"sheets_uyez",{"_190":374,"_192":193,"_196":224,"_198":199,"_200":201},"Load Dashboard Data",{"_137":376,"_139":377},3964.603759818464,2967.4937499527364,{"_14":379,"_123":380,"_125":381,"_127":382,"_133":390,"_135":391},"interface-html-react_edkr","interface-html-react",1194,{"_190":383,"_127":384,"_196":389,"_385":35,"_386":387},"Stock News Dashboard",{"_385":35,"_386":387,"_213":388},"fullscreen","jsx_source","import React, { useState, useEffect } from 'react';\nimport ReactDOM from 'react-dom/client';\nimport { execution } from '@noclick/sdk';\n\nconst READ_NODE = 'sheets_uyez';\nconst WATCHLIST_NODE = 'interface-config-form_iu96';\n\nconst sentimentBadge = (s) => {\n const v = (s || '').toLowerCase();\n if (v.includes('bullish')) return Bullish;\n if (v.includes('bearish')) return Bearish;\n if (s) return Neutral;\n return Pending;\n};\n\nconst impactBadge = (s) => {\n const v = (s || '').toLowerCase();\n if (v.includes('high')) return High;\n if (v.includes('medium') || v.includes('med')) return Med;\n if (v.includes('low')) return Low;\n return null;\n};\n\nconst parseTickers = (raw) => {\n if (!raw || !raw.trim()) return [];\n return raw.split(/[,;]+/).map(t => t.trim().toUpperCase()).filter(Boolean);\n};\n\nfunction TickerPills({ raw, wlSet }) {\n const tickers = parseTickers(raw);\n if (!tickers.length) return —;\n return (\n

\n {tickers.map((t, i) => (\n {t}\n ))}\n

\n );\n}\n\nconst formatDate = (d) => {\n if (!d) return '—';\n try {\n const dt = new Date(d);\n if (isNaN(dt)) return d;\n return dt.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }) + ' '\n + dt.toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit' });\n } catch { return d; }\n};\n\nfunction ArticleTable({ rows, wlSet }) {\n const [expanded, setExpanded] = useState(null);\n if (!rows.length) return (\n

No articles found.

\n );\n return (\n

\n \n \n \n {['Date','Source','Title','Tickers','Sentiment','Impact','↗'].map(h => (\n \n ))}\n \n \n \n {rows.map((row, i) => {\n const isWl = parseTickers(row.Ticker).some(t => wlSet.has(t));\n return (\n \n setExpanded(expanded === i ? null : i)}\n >\n \n \n \n \n \n \n \n \n {expanded === i && (\n \n \n \n )}\n \n );\n })}\n \n

{h}
{formatDate(row.Date)}	{row.Source \|\| '—'}	\n \n {isWl && ★}\n {row.Title \|\| '—'}\n \n		{sentimentBadge(row.Sentiment)}	{impactBadge(row.Impact)}	\n {row.URL\n ? e.stopPropagation()}>Open ↗\n : —\n }\n
\n {row.Summary\n ? {row.Summary} \n : No summary yet — run the workflow to analyze this article. \n }\n

{h}

{formatDate(row.Date)}

{row.Source || '—'}

\n \n {isWl && ★}\n {row.Title || '—'}\n \n

{sentimentBadge(row.Sentiment)}

{impactBadge(row.Impact)}

\n {row.URL\n ? e.stopPropagation()}>Open ↗\n : —\n }\n

\n {row.Summary\n ?

{row.Summary}

\n :

No summary yet — run the workflow to analyze this article.

\n }\n

\n );\n}\n\nfunction PortfolioTab({ data, watchlist }) {\n const wlSet = new Set(watchlist.map(t => t.toUpperCase()));\n\n // Match by AI-extracted tickers OR by ticker appearing in the title\n const wlRows = data.filter(r => {\n if (parseTickers(r.Ticker).some(t => wlSet.has(t))) return true;\n const titleUpper = (r.Title || '').toUpperCase();\n return watchlist.some(t => titleUpper.includes(t));\n });\n\n if (watchlist.length === 0) {\n return (\n

No tickers in your watchlist.

Add tickers via the \"My Stock Watchlist\" block on the Default tab, then Refresh.

\n );\n }\n\n const tickerStats = watchlist.map(rawTicker => {\n const ticker = rawTicker.toUpperCase();\n const articles = data.filter(r =>\n parseTickers(r.Ticker).includes(ticker) ||\n (r.Title || '').toUpperCase().includes(ticker)\n );\n const analyzed = articles.filter(r => r.Summary && r.Summary.trim());\n const bullish = analyzed.filter(r => (r.Sentiment || '').toLowerCase().includes('bullish')).length;\n const bearish = analyzed.filter(r => (r.Sentiment || '').toLowerCase().includes('bearish')).length;\n const hiImpact = analyzed.filter(r => (r.Impact || '').toLowerCase().includes('high')).length;\n const bPct = analyzed.length ? Math.round(bullish / analyzed.length * 100) : 0;\n const rPct = analyzed.length ? Math.round(bearish / analyzed.length * 100) : 0;\n const signal = analyzed.length === 0 ? 'no data'\n : bPct > rPct ? 'bullish'\n : rPct > bPct ? 'bearish'\n : 'neutral';\n return { ticker, total: articles.length, analyzed: analyzed.length, bullish, bearish, bPct, rPct, hiImpact, signal };\n });\n\n const signalCls = {\n bullish: 'text-emerald-400 border-emerald-500/30 bg-emerald-500/10',\n bearish: 'text-red-400 border-red-500/30 bg-red-500/10',\n neutral: 'text-zinc-300 border-zinc-600/40 bg-zinc-700/20',\n 'no data': 'text-zinc-600 border-zinc-800/80 bg-zinc-900/50',\n };\n\n return (\n

\n {tickerStats.map(ts => (\n

\n {ts.ticker}\n {ts.signal}\n

{ts.total} articles{ts.analyzed > 0 ? ` · ${ts.analyzed} analyzed` : ''}

\n {ts.analyzed > 0 && (\n <>\n

\n {ts.bPct}% bull\n {ts.rPct}% bear\n

\n \n )}\n {ts.hiImpact > 0 &&

{ts.hiImpact} high-impact

}\n

\n ))}\n

\n\n

\n Watchlist Articles ({wlRows.length})\n

\n {wlRows.length > 0\n ? \n :

No articles mentioning your watched tickers yet.

\n }\n

\n );\n}\n\nfunction App() {\n const [data, setData] = useState([]);\n const [watchlist, setWatchlist] = useState([]);\n const [loading, setLoading] = useState(true);\n const [error, setError] = useState(null);\n const [stats, setStats] = useState({ total:0, bullish:0, bearish:0, pending:0 });\n const [filter, setFilter] = useState('all');\n const [tab, setTab] = useState('news');\n\n const loadData = async () => {\n setLoading(true);\n setError(null);\n try {\n // Run both nodes in parallel — sheet data + watchlist config form\n const [sheetResult, wlResult] = await Promise.all([\n execution.runNodesAndGetOutput([READ_NODE], [READ_NODE]).all(),\n execution.runNodesAndGetOutput([WATCHLIST_NODE], [WATCHLIST_NODE]).all(),\n ]);\n\n // Sheet data\n const values = sheetResult[READ_NODE]?.values || [];\n if (values.length >= 1) {\n const hdrs = values[0];\n const rows = values.slice(1)\n .filter(row => row.some(c => c))\n .map(row => {\n const obj = {};\n hdrs.forEach((h, i) => { obj[h] = row[i] != null ? String(row[i]) : ''; });\n return obj;\n })\n .reverse();\n setData(rows);\n const analyzed = rows.filter(r => r.Summary && r.Summary.trim());\n setStats({\n total: rows.length,\n bullish: analyzed.filter(r => (r.Sentiment||'').toLowerCase().includes('bullish')).length,\n bearish: analyzed.filter(r => (r.Sentiment||'').toLowerCase().includes('bearish')).length,\n pending: rows.length - analyzed.length,\n });\n }\n\n // Watchlist — read live values from the interface-config-form node output\n let wl = wlResult[WATCHLIST_NODE]?.values?.watched_tickers || [];\n if (typeof wl === 'string') { try { wl = JSON.parse(wl); } catch(e) { wl = []; } }\n setWatchlist(Array.isArray(wl) ? wl.map(t => String(t).trim().toUpperCase()).filter(Boolean) : []);\n\n } catch (e) {\n setError(e.message || 'Failed to load data');\n }\n setLoading(false);\n };\n\n useEffect(() => { loadData(); }, []);\n\n const wlSet = new Set(watchlist);\n const filtered = filter === 'bullish' ? data.filter(r => (r.Sentiment||'').toLowerCase().includes('bullish'))\n : filter === 'bearish' ? data.filter(r => (r.Sentiment||'').toLowerCase().includes('bearish'))\n : filter === 'pending' ? data.filter(r => !r.Summary || !r.Summary.trim())\n : data;\n\n if (loading) return (\n

Loading stock data…

\n );\n\n return (\n

\n\n

Stock News Tracker

\n {stats.total} articles · {stats.total - stats.pending} analyzed · {stats.pending} pending\n {watchlist.length > 0 && ` · watching ${watchlist.length} ticker${watchlist.length !== 1 ? 's' : ''}`}\n

\n \n \n

\n \n

\n\n {error && (\n

\n Error loading data: {error}\n

\n )}\n\n {tab === 'news' ? (\n <>\n

\n {[\n { key:'all', label:'Total', value:stats.total, color:'text-white', ab:'border-zinc-500' },\n { key:'bullish', label:'Bullish', value:stats.bullish, color:'text-emerald-400', ab:'border-emerald-500' },\n { key:'bearish', label:'Bearish', value:stats.bearish, color:'text-red-400', ab:'border-red-500' },\n { key:'pending', label:'Pending', value:stats.pending, color:'text-zinc-400', ab:'border-zinc-500' },\n ].map(({ key, label, value, color, ab }) => (\n \n ))}\n

\n {filtered.length > 0\n ? \n : (\n

\n {filter==='all' ? 'No articles yet — run the workflow to start tracking stock news.' : `No ${filter} articles found.`}\n

\n )\n }\n \n ) : (\n \n )}\n\n

\n );\n}\n\nReactDOM.createRoot(document.getElementById('root')).render();\n","430c8cca-247f-4309-9708-e7986d47a1d1","jsx",532,{"_137":392,"_139":393},2491.9120213797687,2966.7040592712747,{"_14":69,"_123":395,"_127":396,"_135":397},"trigger-run",{},{"_137":398,"_139":399},849.5389872755941,1956.1686416869143,{"_14":77,"_123":263,"_127":401,"_135":412},{"_190":402,"_127":403,"_196":276,"_268":405,"_270":410},"Slim RSS Entries",{"_213":404,"_268":405,"_270":406},"5958afd2-e906-4d6f-aab5-47be2223f781","const f = inputs.feed || {};\nconst feedTitle = (f.feed && f.feed.title) || 'RSS Feed';\nconst entries = (f.entries || []).map(e => ({\n title: e.title || '',\n link: e.link || '',\n published: e.published || e.updated || ''\n}));\nreturn { entries, feed_title: feedTitle };",[407],{"_16":408,"_274":409},"feed","{{rss_h2p0}}",[411],{"_16":408,"_274":409},{"_137":413,"_139":414},2272.3457634027027,2482.6828782725934,{"_14":82,"_123":263,"_127":416,"_135":423},{"_190":417,"_196":276,"_268":418,"_270":419},"Extract Row Data","const values = inputs.rows || [];\nfor (let i = 1; i < values.length; i++) {\n if (!values[i][4]) {\n return {\n url: values[i][3] || '',\n title: values[i][2] || '',\n source: values[i][1] || '',\n status: 'pending',\n rowIndex: i + 1\n };\n }\n}\nreturn { status: 'done', url: '', title: '', source: '', rowIndex: -1 };",[420],{"_16":421,"_274":422},"rows","{{sheets_j1gm.values}}",{"_137":424,"_139":425},3043.9075433603252,2107.701438475665,{"_14":38,"_123":263,"_127":427,"_135":434},{"_190":428,"_196":276,"_268":429,"_270":430},"Parse AI Response","const text = inputs.response || '';\nconst get = (label) => {\n const match = text.match(new RegExp(label + ':?\\\\s*([^\\\\n]+)', 'i'));\n return match ? match[1].trim() : '';\n};\nreturn {\n summary: get('Summary'),\n sentiment: get('Sentiment'),\n tickers: get('Tickers'),\n impact: get('Impact')\n};",[431],{"_16":432,"_274":433},"response","{{agent_h8n9.response}}",{"_137":435,"_139":436},3776.0365701832256,1969.1907410962087,{"_14":87,"_123":438,"_127":439,"_135":441},"setup",{"_190":440},"Setup",{"_137":442,"_139":443},572.2741187349193,1132.7854960312816,{"_14":88,"_123":445,"_127":446,"_135":458},"interface-form",{"_190":447,"_302":448},"Google Sheets",[449],{"_16":450,"_123":451,"_190":452,"_453":454,"_18":455,"_456":457},"sheets_credential","credential","Google Sheets Account","required",true,"Connect your Google account — we'll create a spreadsheet to track all stock news automatically","credential_type","google_sheets_oauth",{"_137":459,"_139":460},785.750500596926,1068.1498295615065,{"_14":91,"_123":188,"_127":462,"_135":469},{"_190":463,"_464":465,"_127":466,"_196":467,"_468":199},"Create Spreadsheet","title","Stock News Tracker",{},"create","sheet_titles",{"_137":470,"_139":471},1201.342476285498,1244.1830952966052,{"_14":94,"_123":188,"_127":473,"_135":480},{"_190":474,"_192":475,"_127":476,"_194":477,"_196":478,"_198":199,"_200":479},"Write Template Headers","A1:H1",{},"[[\"Date\",\"Source\",\"Title\",\"URL\",\"Summary\",\"Sentiment\",\"Ticker\",\"Impact\"]]","write","{{sheets_lpj1.spreadsheet_id}}",{"_137":481,"_139":482},1386.4009906483107,1214.4337357425252,{"_14":97,"_123":256,"_127":484,"_135":494},{"_190":485,"_127":486,"_487":492},"Save Sheet Settings",{"_487":488},"assignments",[489],{"_274":479,"_490":491},"variable_name","Sheet-ID",[493],{"_274":479,"_490":491},{"_137":495,"_139":496},1578.324121267996,1191.1012270791355,{"_14":100,"_123":445,"_127":498,"_135":510},{"_190":499,"_302":500},"Telegram Settings",[501,506],{"_16":502,"_123":451,"_190":503,"_453":454,"_18":504,"_456":505},"telegram_credential","Telegram Bot","Connect your Telegram bot for stock alerts","telegram_bot_token",{"_16":235,"_123":507,"_190":508,"_453":454,"_18":509},"string","Chat ID","Telegram chat/group ID. Message @userinfobot on Telegram to find yours.",{"_137":511,"_139":512},1789.4411491597157,1002.9661556158023,{"_14":103,"_123":256,"_127":514,"_135":523},{"_190":515,"_487":516},"Save Telegram Settings",[517,520],{"_274":518,"_490":519},"{{interface-form_qale.telegram_credential}}","Telegram-Cred",{"_274":521,"_490":522},"{{interface-form_qale.chat_id}}","Telegram-Chat",{"_137":524,"_139":525},2158.487509701371,1097.9539910538147,{"_14":111,"_123":298,"_125":299,"_127":527,"_133":539,"_135":540},{"_190":528,"_302":529,"_194":530},"My Stock Watchlist","[{\"name\": \"watched_tickers\", \"type\": \"list\", \"label\": \"Watched Tickers\", \"description\": \"Add stock tickers to track (e.g. AAPL, TSLA, NVDA). Articles mentioning these are highlighted in the dashboard and flagged in Telegram alerts.\", \"default\": \"[\\\"AAPL\\\", \\\"TSLA\\\", \\\"NVDA\\\", \\\"MSFT\\\", \\\"AMZN\\\"]\"}]",{"_531":532},"watched_tickers",[533,534,535,536,537,538],"AAPL","TSLA","NVDA","MSFT","AMZN","QQT",310,{"_137":541,"_139":542},1119.2921649695254,1861.6758140209436,{"_14":106,"_123":263,"_127":544,"_135":554},{"_190":545,"_196":276,"_268":546,"_270":547},"Check Watchlist","const tickersRaw = (inputs.tickers || '').toString();\nlet watchlist = inputs.watchlist;\n\n// Handle both array and JSON-string formats\nif (typeof watchlist === 'string') {\n try { watchlist = JSON.parse(watchlist); } catch(e) { watchlist = []; }\n}\nif (!Array.isArray(watchlist)) watchlist = [];\n\nconst articleTickers = tickersRaw\n .split(/[,;]+/)\n .map(t => t.trim().toUpperCase())\n .filter(Boolean);\n\nconst watchlistUpper = watchlist.map(t => t.toString().trim().toUpperCase());\n\nconst matched = articleTickers.filter(t => watchlistUpper.includes(t));\nconst isWatchlist = matched.length > 0;\nconst alertPrefix = isWatchlist\n ? '🔔 WATCHLIST: ' + matched.join(', ') + '\\n\\n'\n : '';\n\nreturn { is_watchlist: isWatchlist, matched_tickers: matched, alert_prefix: alertPrefix };",[548,551],{"_16":549,"_274":550},"tickers","{{serverless-function_glor.result.tickers}}",{"_16":552,"_274":553},"watchlist","{{interface-config-form_iu96.values.watched_tickers}}",{"_137":555,"_139":556},3946.048063483168,1972.1166475654695,{"_14":116,"_123":256,"_127":558,"_135":566},{"_190":485,"_127":559,"_487":564},{"_487":560},[561],{"_274":562,"_490":563},"{{interface-form_6wr3.sheets_credential}}","Sheets-Cred",[565],{"_274":562,"_490":563},{"_137":567,"_139":568},1052.6351960557927,1052.737856292282,"interface",{"_571":572,"_587":588},"layout",[573,582,586],{"_574":575,"_576":72,"_577":575,"_137":578,"_139":578,"_579":580,"_581":580},"h",5,"i","w",0,"minH",3,"minW",{"_574":583,"_576":379,"_577":584,"_137":578,"_139":580,"_579":585,"_581":580},4,6,2,{"_574":575,"_576":111,"_577":575,"_137":578,"_139":584,"_579":580,"_581":580},"tabOrder",[],"variables",{"_235":591,"_491":592,"_563":593,"_522":591,"_519":594,"_595":454,"_450":593,"_502":594},"-1003859068504","1wzdKENXwrXYR139kq2n_AW0lTVy9YDbeTYaA47m8h14","60029323-3050-428c-ba24-58c6381b6b32","497df227-433b-4fca-9b2f-d5f4bd4b6704","setup_completed","display_metadata",{"_598":599,"_604":605,"_606":607,"_612":-5},"viewport",{"_137":600,"_139":601,"_602":603},557.3392300619774,-212.90786653742185,"zoom",0.17351534560892554,"activeTab","canvas","flowHelperView",{"_133":608,"_604":127,"_609":7,"_610":216,"_611":7},379,"isExpanded","searchQuery","isFullScreen","selectedNodeId","owner_name","Sanskar Pandey","template_slug","ai-stock-news-analyzer-alert","isEmbed","autoFork","initialView","actionData","errors"]