{ "id": "sEYA9EaF4kAUsgNb", "meta": { "instanceId": "c4eae34af81eeff658410c97c38d8a485e4c73ba5cea5b25eef189aa5e5a73b9", "templateCredsSetupCompleted": true }, "name": "AI-Powered Solana Multi-Timeframe Market Analyzer with Telegram Integration", "tags": [], "nodes": [ { "id": "2c250d48-9e8f-4d4b-889f-659013a60ad2", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 896, 192 ], "parameters": { "text": "=Perform a full Multi-Timeframe Technical Analysis and Trading Recommendation using the following real market data.\n\nSymbol: {{$node[\"Transcribe\"].json[\"symbol\"]}}\nCurrent Price: {{$node[\"Transcribe\"].json[\"price\"]}}\n\n1-Minute Candlestick Data:\n{{$node[\"Transcribe\"].json[\"data_1m\"]}}\n\n5-Minute Candlestick Data:\n{{$node[\"Transcribe\"].json[\"data_5m\"]}}\n\n1-Hour Candlestick Data:\n{{$node[\"Transcribe\"].json[\"data_1h\"]}}\n\nAnalyze all timeframes, identify confluence between trends, support/resistance zones, and likely scenarios.\nReturn your final answer in valid JSON format, enclosed in triple backticks like this:\n\n```json\n{\n \"symbol\": \"{{$node['Transcribe'].json['symbol']}}\",\n \"analysis\": {\n \"1m\": {\n \"price_momentum\": \"\",\n \"volume_patterns\": \"\",\n \"support_resistance\": \"\",\n \"trend_direction\": \"\",\n \"moving_averages\": \"\",\n \"momentum_indicators\": \"\",\n \"volatility\": \"\"\n },\n \"market_structure\": {\n \"trend_alignment\": \"\",\n \"confluence_zones\": \"\",\n \"candlestick_patterns\": \"\"\n \"5m\": {\n \"price_momentum\": \"\",\n \"volume_patterns\": \"\",\n \"support_resistance\": \"\",\n \"trend_direction\": \"\",\n \"moving_averages\": \"\",\n \"momentum_indicators\": \"\",\n \"volatility\": \"\"\n },\n \"market_structure\": {\n \"trend_alignment\": \"\",\n \"confluence_zones\": \"\",\n \"candlestick_patterns\": \"\"\n \"1hr\": {\n \"price_momentum\": \"\",\n \"volume_patterns\": \"\",\n \"support_resistance\": \"\",\n \"trend_direction\": \"\",\n \"moving_averages\": \"\",\n \"momentum_indicators\": \"\",\n \"volatility\": \"\"\n },\n \"market_structure\": {\n \"trend_alignment\": \"\",\n \"confluence_zones\": \"\",\n \"candlestick_patterns\": \"\"\n },\n \"trading_recommendation\": {\n \"action\": \"\",\n \"immediate_action\": \"\",\n \"entry_strategy\": \"\",\n \"stop_loss\": \"\",\n \"take_profit\": {\n \"tp1\": \"\",\n \"tp2\": \"\",\n \"tp3\": \"\"\n },\n \"position_size\": \"\"\n }\n },\n \"disclaimer\": \"This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.\"\n}", "options": { "systemMessage": "You are a professional quantitative crypto trading analyst.\n\nYour task is to perform structured, multi-timeframe technical analysis using real market data. Use professional trading terminology and objective, data-driven reasoning.\n\nAlways produce your report in this exact structure:\n\n1. **1-Minute Analysis**\n - Price Momentum\n - Volume Patterns and Spikes\n - Support/Resistance Levels\n - Short-Term Trend Direction\n - Moving Averages\n - Momentum Indicators\n - Volatility\n\n2. **Market Structure Analysis**\n - Trend Alignment Across Timeframes\n - Confluence Zones\n - Candlestick Patterns\n\n3. **Trading Recommendation**\n - Action\n - Immediate Action\n - Entry Strategy\n - Stop-Loss\n - Take-Profit (TP1, TP2, TP3)\n - Position Size\n\nGuidelines:\n- Only use the data provided. Do not assume or fabricate values.\n- Identify key support/resistance, trend strength, and momentum shifts.\n- Be concise, professional, and avoid emotional language.\n- End with this disclaimer:\n “This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.”" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2.2 }, { "id": "1a7505c6-4996-4a61-be3d-bf0a1f898580", "name": "Transcribe", "type": "n8n-nodes-base.code", "position": [ 672, 192 ], "parameters": { "jsCode": "return {\n json: {\n symbol: \"SOLUSDT\",\n price: $node[\"Fetch_1m\"].json.Data.Data.slice(-1)[0].close,\n data_1m: $node[\"Fetch_1m\"].json.Data.Data,\n data_5m: $node[\"Fetch_5m\"].json.Data.Data,\n data_1h: $node[\"Fetch_1h\"].json.Data.Data\n }\n};" }, "typeVersion": 2 }, { "id": "d3cdec57-a663-4902-b6bb-fc9461bfd3c4", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [ 448, 176 ], "parameters": { "numberInputs": 3 }, "typeVersion": 3.2 }, { "id": "b51f03b4-42e0-4920-a1a8-575f7c71f0c2", "name": "Fetch_1m", "type": "n8n-nodes-base.httpRequest", "position": [ 224, 0 ], "parameters": { "url": "https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60", "options": {} }, "typeVersion": 4.2 }, { "id": "fb5873b3-dedb-4dea-a62e-3a2e015098e1", "name": "Fetch_5m", "type": "n8n-nodes-base.httpRequest", "position": [ 224, 192 ], "parameters": { "url": "https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5", "options": {} }, "typeVersion": 4.2 }, { "id": "60504dd7-6e23-4ee5-9f18-a4cd87bea84a", "name": "Fetch_1h", "type": "n8n-nodes-base.httpRequest", "position": [ 224, 384 ], "parameters": { "url": "https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60", "options": {} }, "typeVersion": 4.2 }, { "id": "6c283a1d-289a-4fb7-b477-4c3bcb16ef51", "name": "Parse AI Output", "type": "n8n-nodes-base.code", "position": [ 1296, 192 ], "parameters": { "jsCode": "// 1️⃣ Get raw text from AI Agent output\nconst rawOutput = $node[\"AI Agent\"].json.output;\n\n// 2️⃣ Validate that something exists\nif (!rawOutput) {\n throw new Error(\"AI Agent output is empty or undefined.\");\n}\n\n// 3️⃣ Extract the JSON portion between ```json ... ```\nconst jsonMatch = rawOutput.match(/```json([\\s\\S]*?)```/);\n\nif (!jsonMatch) {\n throw new Error(\"No valid JSON found in AI Agent output. Make sure the AI returns data inside ```json ... ```\");\n}\n\n// 4️⃣ Parse the extracted JSON content\nlet parsedData;\ntry {\n parsedData = JSON.parse(jsonMatch[1].trim());\n} catch (err) {\n throw new Error(\"Failed to parse JSON from AI Agent output: \" + err.message);\n}\n\n// 5️⃣ Return as parsed object for downstream nodes (e.g., Telegram)\nreturn [parsedData];" }, "typeVersion": 2 }, { "id": "34fe93c7-e03a-45e3-9981-3b7b2dfff58e", "name": "Send a text message", "type": "n8n-nodes-base.telegram", "position": [ 1536, 192 ], "webhookId": "72d11faa-65e7-4e56-85b7-bc30a8e46b3a", "parameters": { "text": "=📊 *Multi-Timeframe Analysis*\n\n💲 *Symbol*: {{ $json.symbol }}\n💰 *Current Price*: ${{ $('Transcribe').item.json.price }}\n\n━━━━━━━━━━━━━━\n🕐 *1-Minute Analysis*\n• *Price Momentum:* {{ $json.analysis['1m'].price_momentum }}\n• *Volume Patterns:* {{ $json.analysis['1m'].volume_patterns }}\n• *Support/Resistance:* {{ $json.analysis['1m'].support_resistance }}\n• *Trend Direction:* {{ $json.analysis['1m'].trend_direction }}\n• *Moving Averages:* {{ $json.analysis['1m'].moving_averages }}\n• *Momentum Indicators:* {{ $json.analysis['1m'].momentum_indicators }}\n• *Volatility:* {{ $json.analysis['1m'].volatility }}\n\n━━━━━━━━━━━━━━\n⏱ *5-Minute Analysis*\n• *Price Momentum:* {{ $json.analysis['5m'].price_momentum }}\n• *Volume Patterns:* {{ $json.analysis['5m'].volume_patterns }}\n• *Support/Resistance:* {{ $json.analysis['5m'].support_resistance }}\n• *Trend Direction:* {{ $json.analysis['5m'].trend_direction }}\n• *Moving Averages:* {{ $json.analysis['5m'].moving_averages }}\n• *Momentum Indicators:* {{ $json.analysis['5m'].momentum_indicators }}\n• *Volatility:* {{ $json.analysis['5m'].volatility }}\n\n━━━━━━━━━━━━━━\n🕒 *1-Hour Analysis*\n• *Price Momentum:* {{ $json.analysis['1hr'].price_momentum }}\n• *Volume Patterns:* {{ $json.analysis['1hr'].volume_patterns }}\n• *Support/Resistance:* {{ $json.analysis['1hr'].support_resistance }}\n• *Trend Direction:* {{ $json.analysis['1hr'].trend_direction }}\n• *Moving Averages:* {{ $json.analysis['1hr'].moving_averages }}\n• *Momentum Indicators:* {{ $json.analysis['1hr'].momentum_indicators }}\n• *Volatility:* {{ $json.analysis['1hr'].volatility }}", "chatId": "CHAT_ID", "additionalFields": {} }, "credentials": { "telegramApi": { "id": "credential-id", "name": "telegramApi Credential" } }, "typeVersion": 1.2 }, { "id": "408670db-cabc-4e7f-bcb1-00ac43ea28d1", "name": "Send a text message1", "type": "n8n-nodes-base.telegram", "position": [ 1792, 192 ], "webhookId": "72d11faa-65e7-4e56-85b7-bc30a8e46b3a", "parameters": { "text": "=━━━━━━━━━━━━━━\n📈 *Market Structure*\n• *Trend Alignment:* {{ $('Parse AI Output').item.json.analysis.market_structure.trend_alignment }}\n• *Confluence Zones:* {{ $('Parse AI Output').item.json.analysis.market_structure.confluence_zones }}\n• *Candlestick Patterns:* {{ $('Parse AI Output').item.json.analysis.market_structure.candlestick_patterns }}\n\n━━━━━━━━━━━━━━\n🎯 *Trading Recommendation*\n• *Action:* {{ $('Parse AI Output').item.json.trading_recommendation.action }}\n• *Immediate Action:* {{ $('Parse AI Output').item.json.trading_recommendation.immediate_action }}\n• *Entry Strategy:* {{ $('Parse AI Output').item.json.trading_recommendation.entry_strategy }}\n• *Stop-Loss:* {{ $('Parse AI Output').item.json.trading_recommendation.stop_loss }}\n• *Take-Profits:*\n • TP1 → {{ $('Parse AI Output').item.json.trading_recommendation.take_profit.tp1 }}\n • TP2 → {{ $('Parse AI Output').item.json.trading_recommendation.take_profit.tp2 }}\n • TP3 → {{ $('Parse AI Output').item.json.trading_recommendation.take_profit.tp3 }}\n• *Position Size:* {{ $('Parse AI Output').item.json.trading_recommendation.position_size }}\n\n━━━━━━━━━━━━━━\n⚠️ *Disclaimer:* {{ $('Parse AI Output').item.json.disclaimer }}", "chatId": "CHAT_ID", "additionalFields": {} }, "credentials": { "telegramApi": { "id": "credential-id", "name": "telegramApi Credential" } }, "typeVersion": 1.2 }, { "id": "06d867d3-286c-4ae2-9d25-9cded3075a60", "name": "Hourly", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -96, 192 ], "parameters": { "rule": { "interval": [ { "field": "hours" } ] } }, "typeVersion": 1.2 }, { "id": "bc4c41e9-3d8e-48a4-9d37-8ea699735058", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -240, 0 ], "parameters": { "width": 368, "height": 528, "content": "### Schedule Trigger \nExecutes the workflow automatically every hour. \nThis node initiates a complete SOL/USDT analysis cycle — fetching data, performing AI-based evaluation, and generating an insight report. \nAdjust frequency if you need faster (every 15m) or slower (every 4h) update intervals.\n" }, "typeVersion": 1 }, { "id": "65e8fa78-2986-4331-89ec-480db11ebdaf", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 144, -176 ], "parameters": { "color": 2, "width": 672, "height": 704, "content": "### Market Data Collector (Crypto Compare) \nRetrieves real-time OHLCV data for SOL/USDT from the Crypto Compare API. \nPulls 1m, 5m, and 1h timeframes to detect short- and mid-term momentum trends. \nData includes:\n- Open, High, Low, Close, Volume \n- % Change metrics \nFeeds directly into the AI Analyzer for contextual interpretation.\n" }, "typeVersion": 1 }, { "id": "bb871e51-bb88-4f8e-95a1-b51bedceab8d", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 832, -48 ], "parameters": { "color": 3, "width": 352, "height": 576, "content": "### AI Multi-Timeframe Analyzer \nAnalyzes aggregated SOL/USDT market data using an AI model (Gemini or OpenAI). \nOutputs:\n- Market Sentiment (Bullish / Bearish / Neutral) \n- Suggested Position (LONG / SHORT / HOLD) \n- Key Support & Resistance Levels \n- Confidence Score + Reasoning Summary \nActs as the analytical core of the workflow — powering intelligent insights.\n" }, "typeVersion": 1 }, { "id": "88f3d126-c644-432f-ac09-374bb6fc2d40", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 896, 384 ], "parameters": { "options": {} }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "056bb308-ccc6-40c1-a508-221b96623b3d", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1200, -64 ], "parameters": { "color": 4, "width": 272, "height": 592, "content": "### Telegram Message Composer \nFormats AI analysis output into a clear Telegram message. \nMessage includes:\n- Timeframes analyzed (1m, 5m, 1h) \n- Sentiment Summary \n- Recommended Position \n- Confidence Score \nThis ensures traders receive actionable insights directly on Telegram in a clean format.\n" }, "typeVersion": 1 }, { "id": "3225de17-d7cc-4587-b2a7-e3353a2277ba", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 1488, -32 ], "parameters": { "color": 5, "width": 496, "height": 560, "content": "### Telegram Market Broadcast \nSends the AI-generated market summary to your Telegram channel or chat. \nActs as a periodic Solana market report sent automatically every hour. \nRequires:\n- Telegram Bot Token \n- Chat ID \nIdeal for traders or teams who want frequent data-driven market insights without checking charts.\n" }, "typeVersion": 1 }, { "id": "e3ce96aa-c00a-4682-b3b7-ceb87b831c13", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2000, -560 ], "parameters": { "color": 7, "width": 672, "height": 1088, "content": "## AI-Powered Solana Multi-Timeframe Market Analyzer with Telegram Integration \n\n### Try It Out! \nA fully automated Solana (SOL/USDT) market intelligence workflow that merges multi-timeframe analysis, AI decision logic, and Telegram delivery. \nRuns hourly to provide up-to-date AI insights directly to your Telegram chat.\n\n### How It Works \n1. Schedule Trigger starts analysis every hour. \n2. Fetches live market data from Crypto Compare. \n3. AI processes multiple timeframes for sentiment & strategy. \n4. Composes a professional Telegram summary message. \n5. Sends it automatically to your Telegram channel. \n\n### How to Use \n- Import into n8n workspace. \n- Configure Crypto Compare API Key and Telegram credentials. \n- Adjust analysis frequency in the Schedule Trigger node. \n- Deploy and activate to start receiving AI-powered updates.\n\n### (Optional) Extend This Workflow \n- Add confidence-based alerts (only send if Confidence > 80%). \n- Include ETH/USDT and BTC/USDT pairs for comparative insights. \n- Store hourly AI reports to Google Sheets or Notion for backtesting. \n- Integrate with AFK Crypto APIs to transition from analyzer → trader. \n\n### Requirements \n- Crypto Compare API Key \n- Telegram Bot Token + Chat ID \n- n8n Instance with HTTP Request, AI, and Telegram nodes enabled \n\n### APIs Used \n- GET https://min-api.cryptocompare.com/data/v2/histominute \n- GET https://min-api.cryptocompare.com/data/v2/histohour \n\n### Summary \nThe **AI-Powered Solana Multi-Timeframe Market Analyzer with Telegram Integration** transforms raw market data into intelligent, hourly insights delivered straight to Telegram. \nBuilt for traders who want real-time AI-driven clarity without executing trades — a pure analytical powerhouse for Solana market monitoring.\n\n## AFK Crypto Website: afkcrypto.com\n## Join our Discord: https://discord.com/invite/v4DgTEUUJJ" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "fe84d8e8-22b6-427c-bcd2-cf3a285f04c7", "connections": { "Merge": { "main": [ [ { "node": "Transcribe", "type": "main", "index": 0 } ] ] }, "Hourly": { "main": [ [ { "node": "Fetch_1m", "type": "main", "index": 0 }, { "node": "Fetch_5m", "type": "main", "index": 0 }, { "node": "Fetch_1h", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Parse AI Output", "type": "main", "index": 0 } ] ] }, "Fetch_1h": { "main": [ [ { "node": "Merge", "type": "main", "index": 2 } ] ] }, "Fetch_1m": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Fetch_5m": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "Transcribe": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Parse AI Output": { "main": [ [ { "node": "Send a text message", "type": "main", "index": 0 } ] ] }, "Send a text message": { "main": [ [ { "node": "Send a text message1", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] } } }