This workflow follows the HTTP Request → Telegram recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "FF High Impact \u2192 Analysis \u2192 Telegram (MVP)",
"nodes": [
{
"id": "cron-live",
"name": "Cron Live (every 15m)",
"type": "n8n-nodes-base.cron",
"parameters": {
"triggerTimes": {
"item": [
{
"mode": "everyX",
"unit": "minutes",
"value": 15
}
]
}
},
"typeVersion": 2,
"position": [
200,
200
]
},
{
"id": "http-today",
"name": "HTTP \u2192 FF Calendar (Today)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 3,
"position": [
420,
200
],
"parameters": {
"url": "https://www.forexfactory.com/calendar?day=today",
"options": {
"redirect": {
"followRedirects": true
},
"headers": {
"User-Agent": "n8n-bot"
}
},
"responseFormat": "string"
}
},
{
"id": "html-extract",
"name": "HTML Extract (High Impact)",
"type": "n8n-nodes-base.htmlExtract",
"typeVersion": 1,
"position": [
640,
200
],
"parameters": {
"extractionValues": {
"values": [
{
"key": "row",
"cssSelector": "tr.calendar__row:has(span.icon--ff-impact-red)",
"returnArray": true
}
]
},
"options": {
"rawHtml": true
}
}
},
{
"id": "html-map",
"name": "Map Fields",
"type": "n8n-nodes-base.htmlExtract",
"typeVersion": 1,
"position": [
860,
200
],
"parameters": {
"extractionValues": {
"values": [
{
"key": "time",
"cssSelector": "td.calendar__time",
"returnArray": false
},
{
"key": "currency",
"cssSelector": "td.calendar__currency",
"returnArray": false
},
{
"key": "title",
"cssSelector": "td.calendar__event a.calendar__event-title",
"returnArray": false
},
{
"key": "link",
"cssSelector": "td.calendar__event a.calendar__event-title",
"returnArray": false,
"attribute": "href"
},
{
"key": "forecast",
"cssSelector": "td.calendar__forecast",
"returnArray": false
},
{
"key": "actual",
"cssSelector": "td.calendar__actual",
"returnArray": false
},
{
"key": "previous",
"cssSelector": "td.calendar__previous",
"returnArray": false
}
]
}
}
},
{
"id": "fn-clean",
"name": "Function \u2192 Clean & TZ",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
1080,
200
],
"parameters": {
"functionCode": "const tz='Asia/Baku';\nconst toNum=(s)=>{if(!s) return null; const x=String(s).replace(/[^0-9+\\-\\.]/g,''); return x?Number(x):null};\nreturn items.map(it=>{\n const d=new Date(); // \u0627\u0645\u0631\u0648\u0632\n // \u0632\u0645\u0627\u0646 \u0631\u0648\u06cc \u0633\u0627\u06cc\u062a \u0645\u0645\u06a9\u0646\u0647 'All Day' \u06cc\u0627 '\u2014' \u0628\u0627\u0634\u062f\n const time=String(it.json.time||'').trim();\n let iso = null;\n try{\n if(/\\d/.test(time)){\n // \u0645\u062b\u0627\u0644: 8:30am \u2192 \u0628\u0647 \u062a\u0627\u0631\u06cc\u062e \u0627\u0645\u0631\u0648\u0632 \u062f\u0631 Asia/Baku \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\n const m=time.match(/(\\d{1,2}):(\\d{2})\\s*(am|pm)?/i);\n if(m){\n let h=Number(m[1]); const min=Number(m[2]); const ampm=m[3];\n if(ampm && /pm/i.test(ampm) && h<12) h+=12; if(ampm && /am/i.test(ampm) && h===12) h=0;\n const dt=new Date(Date.UTC(d.getUTCFullYear(),d.getUTCMonth(),d.getUTCDate(),h-4,min)); // \u062a\u0642\u0631\u06cc\u0628\u06cc\u061b \u0628\u0639\u062f\u0627\u064b \u0628\u0627 TZ \u0648\u0627\u0642\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\n iso=dt.toISOString();\n }\n }\n }catch(e){}\n const forecast = toNum(it.json.forecast);\n const actual = toNum(it.json.actual);\n const previous = toNum(it.json.previous);\n const surprise = (actual!=null && forecast!=null) ? (actual-forecast) : null;\n return { json: { ...it.json, time_local: iso, forecast, actual, previous, surprise } };\n});"
}
},
{
"id": "if-has-actual",
"name": "IF Actual Published?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1300,
200
],
"parameters": {
"conditions": {
"number": [
{
"value1": "={{$json[\"actual\"]}}",
"operation": "largerOrEqual",
"value2": 0
}
]
}
}
},
{
"id": "llm-analyze",
"name": "GPT-5 Thinking \u2192 Macro Impact",
"type": "n8n-nodes-base.openAiChat",
"typeVersion": 4,
"position": [
1520,
160
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"parameters": {
"model": "gpt-5-thinking",
"systemMessage": "\u062a\u0648 \u06cc\u06a9 \u062a\u062d\u0644\u06cc\u0644\u200c\u06af\u0631 \u06a9\u0644\u0627\u0646 \u0628\u0631\u0627\u06cc USD/DXY, XAU/USD, XAG/USD, NAS100, DJI \u0647\u0633\u062a\u06cc. \u062f\u0627\u062f\u0647 \u0648\u0631\u0648\u062f\u06cc: \u0646\u0627\u0645 \u0631\u0648\u06cc\u062f\u0627\u062f\u060c \u0627\u0631\u0632\u060c Forecast, Actual, Previous, Surprise \u0646\u0631\u0645\u0627\u0644 \u0634\u062f\u0647 \u0648 \u062a\u0648\u0636\u06cc\u062d \u0646\u0648\u0639 \u0631\u0648\u06cc\u062f\u0627\u062f (\u062a\u0648\u0631\u0645\u06cc/\u0627\u0634\u062a\u063a\u0627\u0644/\u0631\u0634\u062f/\u0646\u0631\u062e). \u0628\u0631 \u0627\u0633\u0627\u0633 \u0642\u0648\u0627\u0639\u062f \u0627\u0642\u062a\u0635\u0627\u062f \u06a9\u0644\u0627\u0646\u060c \u062c\u0647\u062a \u0627\u062b\u0631 1 \u062a\u0627 6 \u0633\u0627\u0639\u062a \u0622\u06cc\u0646\u062f\u0647 \u0631\u0627 \u0628\u0627 \u06cc\u06a9\u06cc \u0627\u0632 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc Strong \u2191 / Mild \u2191 / Neutral / Mild \u2193 / Strong \u2193 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0627\u0631\u0627\u06cc\u06cc \u0628\u062f\u0647 \u0648 \u06cc\u06a9 Confidence 0\u2013100% \u0647\u0645 \u0628\u062f\u0647. \u0628\u06af\u0648 \u06a9\u0647 \u0627\u06cc\u0646 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0648\u0635\u06cc\u0647 \u0633\u0631\u0645\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0646\u06cc\u0633\u062a.",
"messages": "Event: {{$json.title}} | CCY: {{$json.currency}} | Forecast: {{$json.forecast}} | Actual: {{$json.actual}} | Previous: {{$json.previous}} | Surprise: {{$json.surprise}}\n\u0646\u0648\u0639 \u0631\u0648\u06cc\u062f\u0627\u062f \u0631\u0627 \u0627\u0632 \u0639\u0646\u0648\u0627\u0646 \u062d\u062f\u0633 \u0628\u0632\u0646 (CPI/NFP/Rate/PPI/GDP/PMI...).",
"temperature": 0.2
}
},
{
"id": "format-tele",
"name": "Function \u2192 Format Telegram",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
1740,
160
],
"parameters": {
"functionCode": "return items.map(it=>{\nconst j=it.json; const a=it.json;\nconst lines=[\n`\ud83d\udce3 High Impact`,\n`\ud83d\udd52 ${j.time || '\u2014'} (Asia/Baku) | ${j.currency}`,\n`\ud83d\udccc ${j.title}`,\n`Forecast: ${j.forecast ?? '\u2014'} | Actual: ${j.actual ?? '\u2014'} | Prev: ${j.previous ?? '\u2014'}`,\n`\ud83d\udd17 FF: ${j.link}`,\n`\\n\ud83e\udde0 GPT: ${j.data || j.answer || j.text || ''}`\n];\nreturn { json: { text: lines.join('\\n') } };\n});"
}
},
{
"id": "telegram-send",
"name": "Telegram \u2192 Send Message",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1,
"position": [
1960,
160
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"parameters": {
"operation": "sendMessage",
"chatId": "REPLACE_CHAT_ID",
"text": "={{$json[\"text\"]}}",
"additionalFields": {
"parse_mode": "Markdown"
}
}
},
{
"id": "telegram-trigger",
"name": "Telegram Trigger (/today|/week|/stats)",
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1,
"position": [
200,
520
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"parameters": {
"updates": [
"message"
]
}
},
{
"id": "router-cmd",
"name": "IF Command",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
420,
520
],
"parameters": {
"conditions": {
"string": [
{
"value1": "={{$json[\"message\"][\"text\"]}}",
"operation": "contains",
"value2": "/today"
}
]
}
}
},
{
"id": "http-week",
"name": "HTTP \u2192 FF Calendar (This Week)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 3,
"position": [
420,
680
],
"parameters": {
"url": "https://www.forexfactory.com/calendar?week=this",
"responseFormat": "string"
}
}
],
"connections": {
"cron-live": {
"main": [
[
{
"node": "http-today",
"type": "main",
"index": 0
}
]
]
},
"http-today": {
"main": [
[
{
"node": "html-extract",
"type": "main",
"index": 0
}
]
]
},
"html-extract": {
"main": [
[
{
"node": "html-map",
"type": "main",
"index": 0
}
]
]
},
"html-map": {
"main": [
[
{
"node": "fn-clean",
"type": "main",
"index": 0
}
]
]
},
"fn-clean": {
"main": [
[
{
"node": "if-has-actual",
"type": "main",
"index": 0
}
]
]
},
"if-has-actual": {
"main": [
[
{
"node": "llm-analyze",
"type": "main",
"index": 0
}
],
[
{
"node": "format-tele",
"type": "main",
"index": 0
}
]
]
},
"llm-analyze": {
"main": [
[
{
"node": "format-tele",
"type": "main",
"index": 0
}
]
]
},
"format-tele": {
"main": [
[
{
"node": "telegram-send",
"type": "main",
"index": 0
}
]
]
},
"telegram-trigger": {
"main": [
[
{
"node": "router-cmd",
"type": "main",
"index": 0
}
]
]
},
"router-cmd": {
"main": [
[
{
"node": "http-today",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApitelegramApi
Pro
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About this workflow
FF High Impact → Analysis → Telegram (MVP). Uses httpRequest, htmlExtract, openAiChat, telegram. Scheduled trigger; 12 nodes.
Source: https://gist.github.com/aliadib2006m-png/cc1caef855c004d63b24236957e0ce7c — original creator credit. Request a take-down →
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