ZhuLinsen / alphaevo
An Self-Evolving Stock Strategy Research Agent 策略回测和自我进化
Why this job: matched by what the repo talks about: agent, self, research, evolv
What it does
- Backtesting and evaluation. run strategies on real data with sampling, multi-metric scoring, and anti-overfitting checks.
- LLM-guided strategy evolution. diagnose failure modes, propose targeted mutations, and re-test whether the new version is actually better.
- Deterministic research committee. technical, risk, overfit, data-quality, and mutation-planning verdicts without requiring an API key.
- Traceable research workflow. keep reports, LLM evidence, evolution trees, and trajectory exports for every iteration.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 218
- +4 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 2 still open
- Pull requests
- 12 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
Topics
- agent
- llm
- openclaw
- quant
- evolution
- finance
- fintech
- python
- stock
Project record
- JobAgent frameworks
- StatusListed
- Commits30
- Forks88
- Watching4
- Stars in 28 days+12
- CreatedMar 31, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026