ai-trader and obai

A backtesting framework for validating trading strategies complements a multi-agent research system that could generate those strategies, as one optimizes existing approaches while the other discovers new market opportunities.

ai-trader

Verified

obai

Experimental

Maintenance 17/25

Adoption 15/25

Maturity 18/25

Community 20/25

Maintenance 13/25

Adoption 3/25

Maturity 9/25

Community 0/25

Stars: 507

Forks: 71

Downloads: 138

Commits (30d): 9

Language: Python

License: GPL-3.0

Stars: 3

Forks: —

Downloads: —

Commits (30d): 0

Language: Python

License: —

No risk flags

No Package No Dependents

About ai-trader

whchien/ai-trader

Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.

Built on Backtrader with config-driven YAML workflows for reproducible backtests, it features seamless LLM integration via MCP (Model Context Protocol) server for AI assistants to autonomously run backtests and fetch data. Supports multiple asset classes—US/Taiwan stocks, crypto, forex—with SQLite persistent caching for fast repeated data access, and provides a Python API for custom strategy development alongside 20+ built-in strategies.

About obai

sixteen-dev/obai

Multi-agent AI system for stock market research, powered by the OpenAI Agent SDK and realtime FMP custom MCP.

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