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  • Shen Zhen, China
  • 07:26 (UTC +08:00)

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Shadowell/README.md

About Me

I work primarily as a big data development engineer. My main professional foundation is in data engineering, data pipelines, and the kind of backend and data infrastructure work that supports analysis, reporting, and operational systems.

At the same time, I have been actively expanding my focus into AI, Agent systems, quantitative research, and trading system tooling. I am especially interested in how data engineering, AI-assisted research workflows, Agent-based analysis, strategy evaluation, and execution infrastructure can connect into one practical loop:

Market Data -> Research -> Strategy Logic -> Backtesting -> Paper Trading -> Execution -> Audit

From a work perspective, I try to keep a broad but grounded engineering view across:

  • big data engineering and data pipelines
  • data infrastructure that supports research and decision systems
  • AI application workflows and AI-assisted analysis
  • AI Agent research workflows for analysis and decision support
  • quantitative research and strategy exploration
  • backtesting and paper trading infrastructure
  • A-share stock selection and signal evaluation
  • operator-facing dashboards and internal tools
  • local-first AI products and developer automation
  • open-source packaging, private deployment, and practical system integration

What I care about most is not just one isolated technology, but the full engineering chain from data to research to decision support to executable systems. That is the perspective I am trying to build further through my current AI, Agent, and quantitative projects.

What I'm Building

I'm currently building and testing a practical toolchain around the areas I want to go deeper on:

Crypto trading agent for market research and execution.

A-share research and monitoring platform covering real-time market data, AI stock analysis, factor research, strategy development, and simulation trading.

Open-source quantitative research workbench focused on real market data, backtesting, paper trading, signal audit, and risk-first strategy development.

Self-evolving A-share stock selection system combining Kronos K-line forecasting, Hermes Agent loops, and a three-pool funnel workflow.

A WeChat mini program I'm continuously operating and improving, with promotion through WeChat 搜一搜.

配料君 微信小程序码

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  1. Alpha Alpha Public

    自进化量化选股系统 — Kronos K线预测模型 + Hermes Agent 自进化闭环 + A股三池漏斗选股

    Python 11 8

  2. StockPro StockPro Public

    StockPro AI - A股智能股票分析系统 | Real-time market monitoring, AI-powered stock analysis, strategy development platform

    Python 1

  3. spark spark Public

    Forked from apache/spark

    Apache Spark

    Scala

  4. HyperTrade HyperTrade Public

    A crypto trading agent for market research and execution

    Python 1

  5. QuantBase QuantBase Public

    开源量化研究工作台:支持真实行情、Backtrader 回测验证、模拟交易、信号审计与风险优先的策略开发。

    Python

  6. Kairos Kairos Public

    Multi-market Kronos fine-tuning toolkit for A-shares and crypto, with data pipelines, backtests, and Hugging Face deployment.

    Python 1