openInvest
Enables AI-driven investment decisions with auditability and backtesting rigor, reducing model blindness and compliance risk in automated trading systems.
Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results
- Ask Claude to evaluate investment opportunities through multiple AI perspectives before committing capital.
- Generate auditable investment recommendations with documented reasoning for compliance and governance reviews.
- Backtest investment strategies while preventing data leakage and validating real-world performance potential.
Enables AI-driven investment decisions with auditability and backtesting rigor, reducing model blindness and compliance risk in automated trading systems.
Quantitative teams and compliance officers building AI-powered investment platforms requiring documented decision trails.
https://github.com/longsizhuo/openInvest
By longsizhuo
How to Get It
claude plugins install longsizhuo/openInvest
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Evaluate investment opportunities through multiple AI perspectives before committing capital
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- OpenInvest iPhone App — Hacker News · 6 pts
- J.P. Morgan to Acquire OpenInvest — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 87 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 87 GitHub stars; contributors unknown; last commit 0d ago; license MIT.