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ginlix-ai/LangAlpha
Open-source LLM harness for agentic trading
What it is
An open-source Python harness that brings coding-agent-style workflows to investment research and trading. It runs teams of LLM agents that read filings, pull market data, and build research theses in persistent workspaces, then place orders with supported brokerages within permissions the user sets. The project targets investors who want autonomous, multi-session research and execution loops under their own constraints. Working with live brokerages and market data likely requires API accounts, and results depend heavily on the underlying model chosen.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Strategy research, AI agents |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | High practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Commits today |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +79 over the period, now 1,813. Gaps mean no snapshot was taken that day.
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