by ZhuLinsen · Codex Skill · ★ 120
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🧬 AlphaEvo An Open-Source Self-Evolving Stock Strategy Research Agent Watch strategies get diagnosed, mutated, re-tested, and pruned like research assets Overview · Core Capabilities · Quick Start · Architecture · Validation · CLI English | 中文 ✨ Overview AlphaEvo is a self-evolving stock strategy research agent. It turns a readable YAML strategy into a research loop: backtest, diagnose failure, propose a controlled mutation, re-test the new version, and keep the full evidence trail.
| Stars | 120 |
| Forks | 56 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 63.1882971871734/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-03 |
| Created | 2026-03-31 |
| Platforms | docker, python |
| Est. Tokens | ~18k |
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alphaevo is An Self-Evolving Stock Strategy Research Agent 策略回测和自我进化. It is categorized as a Codex Skill with 120 GitHub stars.
alphaevo is primarily written in Python. It covers topics such as agent, evolution, finance.
You can find installation instructions and usage details in the alphaevo GitHub repository at github.com/ZhuLinsen/alphaevo. The project has 120 stars and 56 forks, indicating an active community.
alphaevo is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to alphaevo on Agent Skills Hub include TradingAgents-MCPmode, hhxg-top-hhxg-python, OpenAshare. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.