heranliu / AlphaResearchOS
Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.
Why this job: matched by what the repo talks about: compatible, api, model, codex
What it does
AlphaResearchOS brings the quantitative research loop into one local workbench. Import a standard OHLCV CSV, connect Codex or a compatible model API, and describe the strategy you want to investigate.
Get started
uv sync --locked
uv run alphaos serve- Maintenance
- Active
- Last commit 34 days ago
- Stars
- 112
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.0
- Released 43 days ago
- Built with
- Python
- 84% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 5 still open
- Pull requests
- 2 merged
- 4 waiting
- Releases
- 1
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 84%
- JavaScript 12%
- HTML 4%
- Makefile <1%
Topics
- agentic-research
- backtesting
- codex
- factor-investing
- llm
- python
- quantitative-finance
- reproducible-research
- research-agents
Project record
- JobModel gateways
- StatusListed
- Commits6
- Forks11
- Watching1
- Stars in 28 days+15
- CreatedSep 22, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026