ai-trader

Unverified ML strategy on Indices by whchien. BotFinder score 18 out of 100.

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

Source: github

Explorer/Indices/ai-trader
18
Data index
IndicesMLMedium risk⚠ Unverified

ai-trader

whchienGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
2.3y
BotFinder Analysis

BotFinder analysis pending.

About

ai-trader

AI-Trader 中文版說明 (Chinese Subpage) 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 simple helpers and a clear structure. Quick Start 1. Installation Option A: Install from PyPI (Recommended for using the CLI) Use this if you want t

PythonGPL-3.0Open-sourceaiai-agentsalgorithmic-tradingbacktraderclimcpmcp-serverportfolio-management
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
whchien
Since 2023 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars1,112
Forks147
Open issues7
LanguagePython
LicenseGPL-3.0
Last update2026-03-28
Created2024-06-18
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