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

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Created by: Oneclick AI Squad || oneclick-ai

Oneclick AI Squad

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Last update 3 hours ago

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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