Hi! I am a Python developer looking to contribute to the community. While I am new to the PyMC codebase, I have spent time conceptualizing financial literacy tools, most recently through a college project called Dime Doll.
Dime Doll was a pitch for an automated wealth-building platform for women. While the project is currently in the conceptual phase, it helped me identify a major need: a safe, high-fidelity market simulator that uses more than just basic historical data.
I’ve realized that most educational tools are too slow. I want to build a Low-Latency Market Simulator that mimics High-Frequency Trading (HFT) environments.
This proposal aims to develop a Predictive Market Simulator as an open-source engine. The goal is to integrate yfinance APIs with PyMC to move beyond static charts. By using Bayesian posterior predictive simulations, the engine will generate potential future market paths and allow users to test automated “Buy/Sell” strategies in a zero-risk environment.
Would the community be interested in a project that formalizes this type of predictive simulation and strategy testing?