Originally published at: Add Multiple Strategies to Telegram Trading Bot | EODHD APIs Academy
Licensed Image from Adobe Stock Register & Get Data When I first architected and developed the Telegram trading bot, I approached it as a practical prototype: fetch OHLC data, apply a simple moving average (SMA) crossover, and send a concise “Buy” or “Sell” notifications via Telegram. At that stage, rapid iteration and an MVP was my priority. However, as I began integrating additional indicators—RSI, MACD, Bollinger Bands, and so on—the code started to exhibit signs of strain. Each new strategy required duplicating portions of signal‐generation logic, renaming rolling averages, and ensuring consistency across multiple modules. Although the initial implementation was functional, it soon became evident that a cleaner, more maintainable architecture was essential. In short, I needed to elevate the…