mwangli/stock-trading

Backend project for an AI small-model automated stock trading system, using the DL4J framework to implement an LSTM model for stock price prediction and automated trading. The backend stack includes Spring Boot, MySQL, MongoDB, Quartz, K8s, MyBatis-Plus, WebSocket, OCR text recognition, and other technologies.

1 file for Codex and OpenCode: stock-trading AGENTS.md — 17,904 tokens loaded in every session.

148Stars on the repository
1Files it configures its agents with
17,904Tokens loaded in every session
2Agents configured

Instructions

These files are mwangli/stock-trading's own configuration — they tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.