{"repo":"bkidy/BaiQuant-public","free":true,"listed":false,"github":"https://github.com/bkidy/BaiQuant-public","clone":"git clone https://github.com/bkidy/BaiQuant-public.git","description":"OpenAI Codex + GPT-5.5 assisted A-share quantitative finance research toolkit using Harness-style backtesting, stock selection, paper trading, and risk review","language":"Python","stars":13,"topics":["a-share","algorithmic-trading","backtesting","financial-research","gpt-5","harness","openai-codex","paper-trading","quantitative-finance","stock-selection"],"license":"MIT","category":"trading","readme_excerpt":"BaiQuant English README 中文故事版 / Codex Series 01 OpenAI Codex + GPT-5.5 assisted A-share quantitative finance research toolkit for after-close stock selection, backtesting, paper replay, and manual trading review. Case study: I gave an A-share account to Codex and doubled it in one month BaiQuant turns a daily A-share research routine into reproducible code: pull local data, rank candidates, review risk, record real fills, and learn from the next session. --- --- Built with OpenAI Codex + GPT-5.5 Research style Harness-style loop: idea - rule - code - test - backtest - review Market focus China A-share equities Public strategy steady-20d Operating mode after-close plan, next-session manual execution Data stance bring your own data; no proprietary market data is shipped BaiQuant is research infrastructure, not investment advice. It is designed for individual researchers who want a local, inspectable workflow for A-share stock selection, strategy experiments, and manual trading review. What It Does - Builds a local A-share research database from your own market data. - Screens a tradable universe with A-share constraints such as lot size, T+1, limit states, ST names, suspensions, liquidity, and board-specific filters. - Produces after-close candidate lists for the next trading session. - Backtests strategy changes and generates charts for review. - Records manual trades in a local ledger so planned actions can be compared with actual fills. - Provides a lightweight local Web UI ","default_branch":null,"files":null,"tree":[],"storefront":"/r/bkidy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bkidy/BaiQuant-public/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}