Trading Bot
A trading bot that generated buy/sell alerts from candlestick pattern analysis, wired into a Telegram-based self-monitoring system for real-time oversight.
Problem
Watching candlestick charts by eye across instruments and timeframes for actionable buy/sell signals doesn't scale, and by the time a pattern registers visually, the entry point has often already passed.
Approach
Built a bot that continuously analyzed candlestick data for buy/sell signal patterns and pushed alerts straight to Telegram, with a self-monitoring layer so the system reported on its own uptime and activity instead of running as a silent black box.
Architecture
Market data ingestion → candlestick pattern/signal detection → alerting layer → Telegram bot for real-time buy/sell notifications and system self-monitoring.
Results
- Delivered real-time buy/sell alerts directly to Telegram as candlestick patterns formed.
- Self-monitoring layer surfaced the bot's own uptime and activity, catching issues before they caused missed signals.
Future work
Expanding the pattern library and backtesting alert accuracy across more instruments and timeframes.