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whchien/ai-trader

Score: 42.2 Rank #1515

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

Overview

whchien/ai-trader is a Python MCP server licensed under GPL-3.0. Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders. Topics: ai, algorithmic-trading, backtrader, portfolio-management, stock-price-prediction, trading, ai-agents, cli, mcp, mcp-server, quantitative-finance.

Ranked #1515 out of 25632 indexed tools.

In the top 6% of all indexed tools.

Ecosystem

Python GPL-3.0
aialgorithmic-tradingbacktraderportfolio-managementstock-price-predictiontradingai-agentsclimcpmcp-serverquantitative-finance

Signal Breakdown

Stars 514
Freshness 1mo ago
Issue Health 57%
Contributors 1
Dependents 0
Forks 71
Description Detailed
License GPL-3.0

How to Improve

Freshness high impact

Last commit was 40 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

AgentRank score for whchien/ai-trader
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Matched Queries

"mcp server""mcp-server"

From the README

# AI-Trader

[中文版說明 (Chinese Subpage)](README_zh.md)

A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across stocks, crypto, and forex markets.

## Key Features

- **Config-Driven Workflows**: Define and manage backtests with version-controllable YAML files for reproducible results.
- **Seamless LLM Integration**: Built-in MCP (Model Context Protocol) server allows AI assistants like Claude to run backtests, fetch data, and analyze strategies.
- **Multi-Market Support**: Test strategies on US stocks, Taiwan stocks, cryptocurrencies, and forex.
- **Extensive Strategy Library**: Comes with over 20 built-in strategies, from classic indicators to advanced adaptive models.
- **Powerful CLI**: A rich command-line interface to run backtests, fetch market data, and list strategies.
- **Developer Friendly**: Easily create and test custom strategies with
Read full README on GitHub →
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