Generate AI trading alerts from CoinGecko and Alpha Vantage via Slack, email and SMS

Automates real-time market monitoring, technical analysis, AI-powered signal generation for cryptocurrencies (and stocks), filters high-confidence trades, and delivers actionable alerts via multiple channels. Good to Know - Runs every 5–30 minutes (configurable trigger) to catch fresh market opportunities - Pulls real-time price data from multiple crypto/stock sources in parallel - Calculates popular technical indicators (RSI, MACD, Moving Averages, etc.) - Uses an AI model (likely Grok/xAI, OpenAI, or similar) to interpret indicators and generate buy/sell signals with confidence scores - Applies multi-layer filtering to reduce noise (thresholds, validation rules) - Stores signals in a database, logs execution history, and sends notifications - Supports email, Telegram, Discord, SMS (via Twilio), or trading execution webhooks - Saves significant time compared to manual chart watching How It Works 1. Trigger - Schedule Trigger or Manual Trigger (every 5–30 minutes) - Optional: Market Hours / Kill-zone filter (e.g. avoid low-volume periods) - Can be webhook-based for on-demand runs 2. Fetch & Prepare Data - Fetches real-time / recent OHLCV data for a watchlist of cryptocurrencies (and possibly stocks) - Sources: CoinGecko, Binance, Alpha Vantage, CoinMarketCap, Bybit, Kraken, etc. (multiple in parallel) - Combines data from different APIs - Prepares structured dataset (candles, volume, current price) - Calculates technical indicators in parallel or via Code node / community nodes (e.g. RSI(14), MACD, EMA/SMA crossovers, Bollinger Bands, etc.) 3. Analysis & Signal Generation - Sends prepared market data + calculated indicators to an AI model - Prompt instructs the model to: - Analyze current market structure - Evaluate indicator confluence - Generate Buy / Sell / Hold signal - Assign confidence score (e.g. 0–100%) - Provide short reasoning - Optional: Rule-based pre-filter (e.g. only proceed if RSI < 30 or MACD crossover) 4. Validate, Alert & Store - Filters signals: minimum confidence threshold, no-duplicate check, max signals per run, etc. - Validates against additional rules (e.g. volume spike, no recent opposite signal) - Stores signal in database (PostgreSQL, Supabase, Airtable, Google Sheets, etc.) - Includes: timestamp, symbol, signal type, confidence, price, indicators snapshot, AI reasoning - Logs full execution trace - Sends alerts: - Email notification - Telegram / Discord message (with formatting) - SMS (Twilio) - Webhook to trading bot / execution system - Optional: Push to tradingview alert or auto-execute (paper/live) Data Sources - Market Data APIs — CoinGecko, Binance, Alpha Vantage, CoinMarketCap, etc. - Technical Indicators — Calculated via Code node, community nodes (e.g. phoenix indicators), or external libraries - AI Model — Grok (xAI), OpenAI (GPT-4o), Claude, Gemini, or local LLM - Notification Channels — Email (Gmail/SMTP), Telegram, Discord, Twilio, webhook - Storage — Google Sheets, PostgreSQL, Supabase, Notion, Airtable How to Use 1. Import the workflow JSON into your n8n instance 2. Configure credentials: - API keys for market data providers (Alpha Vantage, CoinGecko Pro, Binance, etc.) - AI provider (Grok API key, OpenAI key, etc.) - Notification services (Telegram bot token, email SMTP, Twilio, etc.) - Database connection if used 3. Set your watchlist — edit the symbols in the fetch node(s) 4. Tune the schedule — change interval in the trigger node 5. Customize AI prompt — adjust in the AI node for more aggressive/conservative signals 6. Set filters — confidence threshold, max alerts per cycle, etc. 7. Test manually — use Execute Workflow button with sample data 8. Activate & monitor — check Executions tab for logs Requirements - n8n (self-hosted or cloud) - API keys for at least one market data provider - AI API access (Grok, OpenAI, etc.) - Notification credentials (Telegram bot, email account, etc.) - Optional: Database for persistent signal history Customizing This Workflow - Add more exchanges/sources for better data redundancy - Include on-chain metrics (whale alerts, funding rates) via additional APIs - Switch AI model or fine-tune prompt for your trading style - Add risk management rules (position sizing, stop-loss levels) - Integrate auto-trading via exchange API (Binance, Bybit, Alpaca, etc.) - Create dashboard output (Google Sheets + Looker Studio / Grafana) - Add backtesting mode using historical data - Implement blackout periods or news filter to avoid high-impact events