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

⚡ 480 views · 📈 Crypto Trading & Stock Market

Description

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

🔗 Nodes Used

Send Email, HTTP Request, Postgres, Schedule Trigger, Filter

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup