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 ...
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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