How I Automated Crypto Pattern Analysis with Telegram Bots and Deep Learning

The Setup I wanted a system that would: Automatically analyze BTC/USDT every 4 hours Find historically similar candlestick patterns using deep learning Post the results to a Telegram channel All without manual intervention Here's how I built it using NextCandle . Why Candlestick Pattern Matching? Traditional technical analysis relies on named patterns (doji, hammer, engulfing, etc.). But there are countless unnamed patterns that repeat throughout history. Deep learning can find these without human labeling. The Process Current Chart → Extract N Candles → Deep Learning Model ↓ Historical Database ↓ Top 3 Similar Patterns ↓ What Happened Next? ↓ Trend Score (0-100) The Telegram Bot NextCandle's official channel posts automated analysis every 4 hours: 📱 Channel : t.me/nextcandle_official Each post includes: Current pattern snapshot Top 3 historical matches with similarity % Expected price range (MAX/MIN) Overall trend score What I Learned 1. More candles ≠ always better 3-candle lookback