Firecrawl AI-powered market intelligence bot: automated news insights delivery
Workflow Overview This cutting-edge n8n automation is a sophisticated market research and intelligence gathering tool designed to transform web content discovery into actionable insights. By intelligently combining web crawling, AI-powered filtering, and smart summarization, this workflow: Discovers Relevant Content: Automatically crawls target websites Identifies trending topics Extracts comprehensive article details Intelligent Content Filtering: Applies custom keyword matching Filters for most relevant articles Ensures high-quality information capture AI-Powered Summarization: Generates concise, meaningful summaries Extracts key insights Provides quick, digestible information Seamless Delivery: Sends summaries directly to Slack Enables instant team communication Facilitates rapid information sharing Key Benefits π€ Full Automation: Continuous market intelligence π‘ Smart Filtering: Precision content discovery π AI-Powered Insights: Intelligent summarization π Instant Delivery: Real-time team updates Workflow Architecture πΉ Stage 1: Content Discovery Scheduled Trigger: Daily market research FireCrawl Integration: Web content crawling Comprehensive Site Scanning: Extracts article metadata Captures full article content Identifies key information sources πΉ Stage 2: Intelligent Filtering Keyword-Based Matching Relevance Assessment Custom Domain Optimization: AI and technology focus Startup and innovation tracking πΉ Stage 3: AI Summarization OpenAI GPT Integration Contextual Understanding Concise Insight Generation: 3-point summary format Captures essential information πΉ Stage 4: Team Notification Slack Integration Instant Information Sharing Formatted Insight Delivery Potential Use Cases Market Research Teams: Trend tracking Innovation Departments: Technology monitoring Startup Ecosystems: Competitive intelligence Product Management: Industry insights Strategic Planning: Rapid information gathering Setup Requirements FireCrawl API Web crawling credentials Configured crawling parameters OpenAI API GPT model access Summarization configuration API key management Slack Workspace Channel for insights delivery Appropriate app permissions Webhook configuration n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions π€ Multi-source crawling π Advanced sentiment analysis π Customizable alert mechanisms π Expanded topic tracking π§ Machine learning refinement Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible crawling strategies Ensure compliance with website terms of service Ethical Guidelines Respect content creator rights Use data for legitimate research Maintain transparent information gathering Provide proper attribution Workflow Visualization plaintext [Daily Trigger] β¬οΈ [Web Crawling] β¬οΈ [Content Filtering] β¬οΈ [AI Summarization] β¬οΈ [Slack Delivery] Connect With Me Ready to revolutionize your market research? π§ Email: Yaron@nofluff.online π₯ YouTube: @YaronBeen πΌ LinkedIn: Yaron Been Transform your information gathering with intelligent, automated workflows! AIResearch MarketIntelligence AutomatedInsights TechTrends WebCrawling AIMarketing InnovationTracking BusinessIntelligence DataAutomation TechNews
By Yaron BeenSOL trading recommendations w/ multi-timeframe analysis using Gemini & Telegram
Try It Out! This workflow builds a Telegram-based Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer that automatically pulls live candlestick data for SOL/USDT, runs structured multi-timeframe technical analysis (1-minute, 5-minute, 1-hour) through an AI Agent, and posts a professional, JSON-structured analysis + trading recommendation straight to your Telegram chat. It combines on-chain / market data aggregation, LLM-driven interpretation, and instant Telegram reporting β giving you concise, actionable market intelligence every hour. How It Works Hourly Trigger β The workflow runs once per hour to pull fresh market data. Market Data Fetch β Three HTTP requests gather candlesticks from CryptoCompare: 1-minute (last 60 candles) 5-minute aggregate (last 60 aggregated candles) 1-hour (last 60 candles) Merge & Transcribe β The three feeds are merged and a lightweight code node extracts: symbol, current price, arrays for data1m, data5m, data_1h. AI Agent Analysis β The LLM (configured via your model node) receives the merged payload and runs a structured multi-timeframe technical analysis, returning a strict JSON report containing: Per-timeframe analysis (momentum, volume, S/R,MA, volatility) Market structure / confluence findings Trading recommendation (action, entry, stop, TPs, position sizing) A final disclaimer Parse AI Output β Extracts the JSON block from the agentβs reply and validates/parses it for downstream formatting. Telegram Reporting β Sends two nicely formatted Telegram messages: Multi-timeframe breakdown (1m / 5m / 1h) Market structure + Trading Recommendation (TPs, SL, position size, disclaimer) How to Use Import the workflow into your n8n workspace (or replicate the nodes shown in the JSON). Add credentials: CryptoCompare API Key β for reliable candlestick data. LLM model credentials β e.g., Google Gemini / OpenAI, configured in the LangChain/LM node. Telegram Bot Token & Chat ID β to send messages. (Optional) AFK Crypto API key if you want to enrich data with wallet info later. Node mapping & endpoints: Fetch_1m β GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60 Fetch_5m β GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5 Fetch_1h β GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60 Merge β combine the three responses into a single payload. Transcribe (code) β extract last close as current price and attach the arrays. AI Agent β pass the structured prompt (system message instructs exact JSON structure). Parse AI Output β extract the json ... block and JSON.parse it. Telegram nodes β format and send two messages (timeframes and recommendation). Adjust analysis frequency: default is hourly β change the Schedule Trigger node as desired. Deploy and activate: the workflow will post an AI-driven SOL/USDT market analysis to your Telegram hourly. (Optional) Extend This Workflow Add price / orderbook enrichment (e.g., AFK price endpoints or exchange orderbook) to improve context. Add wallet exposure checks (AFK wallet balances) to tailor position sizing suggestions. Store AI reports in Notion / Google Sheets for historical auditing and backtesting. Add alert filtering to only post when the LLM flags high-confidence signals or confluence across timeframes. Expose Telegram commands to request on-demand analysis (e.g., /analyze now 5m). Add risk management logic to convert LLM recommendation into automated orders (careful β requires manual review and stronger safety controls). Safety Mechanisms Explicit system prompt β forces AI to output only the exact JSON structure to avoid free-form text parsing errors. JSON parser node β validates the agent response and throws if malformed before any downstream action. Read-only market analysis β the workflow only reports by default (no auto-trading), reducing operational risk. Credentials gated β ensure LLM and Telegram credentials are stored securely in n8n. Disclaimer β every report includes a legal/financial disclaimer from the agent. Requirements CryptoCompare API Key (for minute/hour candlesticks) LLM model credentials (Google Gemini / OpenAI / other supported model in your LangChain node) Telegram Bot Token + Chat ID (where analysis messages are posted) Optional: AFK Crypto API key if you plan to add wallet/position context n8n instance with: HTTP Request, Code, Merge, LangChain/Agent, and Telegram nodes enabled AFK / External APIs Used CryptoCompare Candles: GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60 (1m) GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5 (5m) GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60 (1h) Telegram Bot API β via n8n Telegram node. LLM / LangChain β your chosen LLM provider (configured in the workflow). Summary The Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer (Telegram) gives you hourly, professional multi-timeframe technical analysis generated by an LLM agent using real candlestick data from CryptoCompare. It combines the speed of automated data collection with the structure and reasoning of an AI analyst, delivering clear trading recommendations and a timestamped analysis to your Telegram chat β ideal for traders who want reliable, concise market intelligence without manual charting. --- Our Website: https://afkcrypto.com/ Check our blogs: https://www.afkcrypto.com/blog
By AFK Crypto