by ZhuLinsen · Codex Skill · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🧬 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 | 92 |
| Forks | 39 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 46.89/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-21 |
| Created | 2026-03-31 |
| Platforms | docker, python |
| Est. Tokens | ~18k |
These tools work well together with alphaevo for enhanced workflows:
Looking for a alphaevo alternative? If you're comparing alphaevo with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
TradingAgents-MCPmode 是一个创新的多智能体交易分析系统，集成了 Model Context Protocol (MCP) 工具，实现了智能化的股票分析和交易决策流程。系统通过多个专业化智能体的协作，
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A Model Context Protocol (MCP) server for stock traders
Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git
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📈 提供股票、加密货币的数据查询和分析功能MCP服务器
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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 92 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 92 stars and 39 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, mcp-trader. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.