whchien/ai-trader
Some data may be outdated — see provenance labels.
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders. observed · 2026-10-03
Health v2 · maintenance only
62/100
- Activity 66
- Release rhythm 57
- Longevity 61
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 16
- age_days: 854
- days_rel: 288
- days_push: 206
- n_releases_24m: 2
Adoption not part of the score
1109 stars · 146 forks observed · 2026-10-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A config-driven backtesting framework for algorithmic trading built on Backtrader, with 20+ built-in strategies and multi-market support (US/Taiwan stocks, crypto, forex). It includes a CLI for running backtests and fetching market data, plus an integrated MCP server so LLM assistants like Claude can run backtests and analyze strategies.
Use cases
- backtest trading strategies on historical stock data
- run algorithmic trading backtests from yaml config files
- fetch historical market data for stocks crypto and forex
- let claude run backtests via mcp server
- test technical indicator strategies like sma crossovers
- build custom trading strategies in python
- quick backtest on a csv of price data
When to choose
- you want a Python backtesting framework built on Backtrader with a rich CLI
- you need multi-market support across US stocks, Taiwan stocks, crypto, and forex
- you want LLM/AI assistants to trigger and analyze backtests through MCP
- you prefer reproducible, version-controlled YAML-driven backtest configs
When to avoid
- you need live trading execution or broker integration rather than backtesting
- you want a GUI-based trading platform
- you need high-frequency or tick-level backtesting performance
- you require a non-Python or non-GPL-licensed solution
Facets
framework · maturity active
cli mcp sdk data-science trading fintech developer-tools python cli cross-platform backtesting backtrader algorithmic-trading mcp-server technical-analysis quantitative-finance llm-integration multi-market command-line
2 sources
- readme: https://github.com/whchien/ai-trader · fetched 2026-10-03 · 6aba3b58100e
- registry_pypi: https://pypi.org/pypi/ai-trader/json · fetched 2026-08-29 · 8a64a0ead483
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| whchien/ai-trader | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="whchien/ai-trader")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem