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blave-agent MCP Server

Blave-TW/blave-agent

Score: 63.9 Rank #5291 MCP Server
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Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading idea into a backtested strategy and runs it live.

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Overview

Blave-TW/blave-agent is a Python tool licensed under Apache-2.0. Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading idea into a backtested strategy and runs it live. Topics: ai-agent, algorithmic-trading, backtesting, claude-code, codex, crypto, electron, macos, mcp, quant, taiwan-stock, trading-bot, windows.

Ranked #5291 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0
ai-agentalgorithmic-tradingbacktestingclaude-codecodexcryptoelectronmacosmcpquanttaiwan-stocktrading-botwindows

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 102

102 stars → growing community

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 21
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

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

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Matched Queries

topic:mcp

From the README

# Blave Agent

## Quant Workspace for AI Agents

Build, backtest and trade strategies live with Claude Code or Codex. Free and open source.

**English** | [繁體中文](README.zh-TW.md) | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [Español](README.es.md) | [Português](README.pt.md) | [Tiếng Việt](README.vi.md)

 

https://github.com/user-attachments/assets/7b33edb7-9c65-4e19-854a-40295c6e8b74

[Download for macOS](https://github.com/Blave-TW/blave-agent/releases/latest) · [Download for Windows](https://download.blave.org/desktop/win/Blave-Setup.exe) · [Quick start (from source)](#quick-start) · [Run it with your computer off](https://blave.org/agent/en)

Star the repo if this is useful — and Watch › Releases to get notified of new versions.

## What Makes It Different

### Backtests That Check for Overfitting and Use Real Fees

Overfitting: parameters that just happen to fit past data.

- Every Type A backtest runs a Monte Carlo permutation test by default (MCPT, `lib/validation.py`) and
Read full README on GitHub →

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