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 Import the workflow JSON into your n8n instance 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 Set your watchlist — edit the symbols in the fetch node(s) Tune the schedule — change interval in the trigger node Customize AI prompt — adjust in the AI node for more aggressive/conservative signals Set filters — confidence threshold, max alerts per cycle, etc. Test manually — use Execute Workflow button with sample data 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