LLM Paper Trader
I Built a Small LLM-Powered Paper Trader for a Friend This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend . What I Built I built a small paper trading system for a friend who is interested in financial markets and wanted a way to experiment with trading ideas without putting real money at risk. The idea was to combine some traditional technical indicators with an…
A small paper trading system was created using an LLM, or language model, for a friend interested in financial markets. The system aimed to combine traditional technical indicators with the AI model to experiment as a decision-making layer. Data was gathered, technical indicators were calculated, and the current market state was sent to the model to receive a BUY, SELL, or HOLD decision.
The decision was then simulated and the portfolio tracked over time. Designed simply, the project was open-source on GitHub and written in Python, allowing for easy experimentation with different models, indicators, and decision logic. By using an open-weight AI model, experimentation was more accessible and the system could be easily modified.
A coding agent assisted in development and the project was completed in time for Hacktoberfest. The paper trading system can be found at the provided GitHub link.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
