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cloudQuant/README.md

Hi, I'm cloudQuant

English | 中文

English Version

Quant focused on algorithmic trading systems, research tooling, broker and exchange integration, and performance-oriented engineering across Python, C++, Rust, and TypeScript.

About Me

  • Quant credentials: CFA, FRM, CIIA, CFP
  • Main interests:
    • Algorithmic trading
    • Trading strategies and strategy research
    • Backtesting and strategy engineering
    • Portfolio and factor analytics
    • High-performance systems
    • AI-assisted research and developer tooling

What I've Been Working On Recently

Over the last two years, my GitHub work has concentrated on quantitative trading infrastructure, analytics libraries, and end-to-end trading platforms.

Recent active contribution areas include:

  • backtrader — framework maintenance, CI/CD, compatibility, and documentation
  • bt_api_py — multi-exchange standardized API SDK
  • backtrader_web — web-based strategy management and execution workflow
  • fincore — unified quantitative finance toolkit
  • akshare_web — market data and workflow tooling
  • pymt5 — MT5 Web Terminal API client for Python
  • alphalens — factor and alpha research workflows
  • pyfolio — portfolio analytics and performance evaluation

Current Focus

  • Building production-friendly Python SDKs for quant workflows
  • Improving cross-platform reliability and CI/CD for trading libraries
  • Researching and refining trading strategies across multiple market styles
  • Exploring C++ / Rust acceleration paths for quant infrastructure
  • Connecting research, backtesting, live trading, and data tooling into a unified workflow
  • Making quant systems easier to use with MCP / AI-native interfaces

Strategy Interests

  • Trend following
  • Mean reversion
  • Momentum
  • Breakout strategies
  • Multi-factor stock selection
  • Statistical arbitrage
  • Market making
  • Arbitrage and spread trading
  • Event-driven strategies
  • High-frequency trading research

Selected Projects

Trading Frameworks and Infrastructure

  • backtrader — quantitative trading framework for backtesting and live trading
  • backtrader_web — web-based full-cycle Backtrader strategy management tool
  • bt_api_py — Python SDK for multi-exchange integration with a standardized API
  • pymt5 — Python client for the MT5 Web Terminal
  • fincore — unified toolkit for financial metrics, analytics, and quant workflows

Research and Analytics

  • alphalens — factor and alpha analysis
  • pyfolio — portfolio and risk analytics
  • empyrical — financial performance metrics

Data, APIs, and Ecosystem Tooling

Technical Interests

  • Python quant libraries
  • C++ strategy engines and bindings
  • Rust for performance-critical systems
  • Exchange and broker API integration
  • Factor research and portfolio analytics
  • Cross-platform automation and release engineering

Contact

  • Email: yunjinqi@gmail.com

If you're building something around quant research, trading systems, analytics infrastructure, broker/exchange connectivity, or trading strategies, feel free to reach out.

中文版本

我是 cloudQuant，一名专注于量化交易系统、研究工具、券商与交易所接口集成，以及 Python、C++、Rust、TypeScript 高性能工程实践的 quant。

关于我

  • 量化相关资质：CFA、FRM、CIIA、CFP
  • 主要兴趣方向：
    • 算法交易
    • 交易策略与策略研究
    • 回测系统与策略工程
    • 组合分析与因子研究
    • 高性能系统
    • AI 辅助研究与开发工具

近两年的主要工作方向

近两年我在 GitHub 上的公开工作，主要集中在量化交易基础设施、分析库，以及从研究到执行的一体化平台。

近期比较活跃的仓库方向包括：

  • backtrader — 框架维护、CI/CD、兼容性与文档改进
  • bt_api_py — 多交易所统一接口 Python SDK
  • backtrader_web — 基于 Web 的策略管理与执行平台
  • fincore — 统一的量化金融工具包
  • akshare_web — 数据与工作流管理工具
  • pymt5 — MT5 Web Terminal 的 Python API 客户端
  • alphalens — 因子与 Alpha 研究分析
  • pyfolio — 投资组合分析与绩效评估

当前关注重点

  • 构建更适合生产环境的 Python 量化 SDK
  • 提升交易类库的跨平台可靠性与 CI/CD 质量
  • 研究和优化不同风格的交易策略
  • 探索 C++ / Rust 在量化基础设施中的加速路径
  • 打通研究、回测、实盘执行和数据工具之间的完整工作流
  • 让量化系统更容易与 MCP / AI 原生接口结合

感兴趣的策略方向

  • 趋势跟踪
  • 均值回归
  • 动量策略
  • 突破策略
  • 多因子选股
  • 统计套利
  • 做市策略
  • 套利与价差交易
  • 事件驱动策略
  • 高频交易研究

代表项目

交易框架与基础设施

  • backtrader — 量化交易回测与实盘框架
  • backtrader_web — 基于 Web 的 Backtrader 全流程管理工具
  • bt_api_py — 多交易所标准化接口 Python SDK
  • pymt5 — MT5 Web Terminal Python 客户端
  • fincore — 金融指标、分析与量化流程统一工具包

研究与分析

数据、接口与生态工具

技术兴趣

  • Python 量化库
  • C++ 策略引擎与绑定
  • Rust 高性能系统
  • 券商与交易所接口集成
  • 因子研究与组合分析
  • 跨平台自动化与发布工程

联系方式

  • Email: yunjinqi@gmail.com

如果你正在做量化研究、交易系统、分析基础设施、券商 / 交易所接口，或者交易策略相关项目，欢迎交流。

Pinned Loading

  1. empyrical_cpp empyrical_cpp Public

    a header-only project using C++20 re-implement the "empyrical" project, which was originally written in Python.

    C++

  2. woniunote woniunote Public

    A blog and website (https://www.yunjinqi.top) written by python, flask, html, css, javascript and mysql.

    JavaScript

  3. alphalens alphalens Public

    Performance analysis of predictive (alpha) factors

    Python 19

  4. pyfolio pyfolio Public

    Forked from quantopian/pyfolio

    Portfolio and risk analytics in Python

    Python 3 1

  5. backtrader backtrader Public

    Quantitative Trading Framework (Backtesting & Live Trading) for Quants

    Python 66 22

  6. bt_api_py bt_api_py Public

    A Python SDK for Multi-Exchange Integration with Standardized API

    Python 2 2