Developer Builds Modular Python Stock Trading Bot Using Alpaca's Free Paper Trading API

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A software developer created an automated stock trading bot in Python to eliminate the need for manual market monitoring. The bot was built using Alpaca's free paper trading API and structured into three separate layers: a data fetcher, a signal generator, and an order executor. The signal generator applies a moving-average crossover strategy to produce buy, sell, or hold signals, which the executor then acts on. Separating the bot into distinct modules made debugging easier and allowed individual components to be updated without affecting the rest of the system. The modular design also means the underlying trading strategy can be swapped out — for example, replaced with a machine-learning model — without rewriting the entire codebase.

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