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Eric-Zhou-0302/README.md

Eric Zhou

Quantitative Researcher · Automation Builder · AI-native Toolmaker

I build reliable research systems, local-first products, and practical AI-agent workflows.
我把金融研究、工程自动化与真正可用的工具,做成可验证、可交付的系统。

English · 中文

Website LinkedIn Focus Language

What I build

Direction What it means in practice
Quantitative research Backtesting frameworks, out-of-sample validation, factor analysis, data pipelines, and financial research tooling.
AI × automation Agent-friendly workflows that turn repetitive professional work—resume preparation, job applications, research digestion—into controlled, reviewable systems.
Local-first products Useful tools with transparent data ownership: local storage where it matters, deliberate external calls where they add real value.

Selected work

Project What it does Stack
jev-A-share-trader A jev-powered technical analysis workspace for China A-shares, combining eight analytical dimensions into an evidence-backed assessment. Supports interactive charts, watchlists, and batch scans. Python FastAPI React TA-Lib
JSON-Resume Turns structured JSON into polished, one-page DOCX/PDF resumes. Includes an agent skill, validation, rendering contracts, and visual QA. Python python-docx OOXML
Offer-Rain A human-approved, agent-assisted email application workflow that pairs naturally with JSON-Resume. Python SMTP Agent workflow
AlphaPai · Lanbaoshu Briefing Generator Collects financial news, produces structured Word briefings, and optionally syncs to Feishu or drives WPS distribution. Python Selenium LLM DOCX
Vocabulary Notebook A local-first vocabulary system with FastAPI, React, FSRS-4.5 scheduling, SSE, and optional AI enrichment. FastAPI React Vite FSRS
IELTS Scribe A distraction-free, local IELTS writing practice desk with timers, autosave, history, and dark/light themes. React Vite Express
Walk-Forward Reverse Crypto A VWAP mean-reversion research framework with reverse rolling optimisation and strict out-of-sample validation. Python Polars NumPy

How I work

  • Evidence first. A result is not done merely because code runs; the data path, output, and failure modes should be inspectable.
  • Automation with guardrails. External actions remain deliberate and reviewable—especially when an email, document, or financial conclusion is involved.
  • Good interfaces respect attention. I prefer dense, calm software that removes busywork instead of creating a dashboard-shaped distraction.

Toolbox

Python FastAPI React TypeScript Next.js PostgreSQL Polars Pandas NumPy Selenium

Currently exploring

  • Robust research infrastructure for asset-pricing and systematic trading work.
  • Agent-native professional workflows that preserve user control instead of hiding decisions behind a chat box.
  • Better ways to turn long-lived personal knowledge into useful, private tools.

Most projects are built to be used, inspected, and improved—not just displayed.

Pinned Loading

  1. auto-financial-report-generator-for-Alphapai-LanBaoShu auto-financial-report-generator-for-Alphapai-LanBaoShu Public

    Alpha派蓝宝书金融新闻自动抓取,调用 LLM 生成结构化 Word 脱水纪要,支持飞书云文档同步与 WPS 自动化分发。

    Python 1

  2. Walk-Forward_Reverse_Crypto Walk-Forward_Reverse_Crypto Public

    Python 1

  3. Offer-Rain Offer-Rain Public

    Offer-Rain: 把 JD 发给 Agent,让它帮你投递简历

    Python 2

  4. JSON-Resume JSON-Resume Public

    JSON-Resume: 把 JD 发给 Agent,让它帮你制作简历

    Python

  5. jev-A-share-trader jev-A-share-trader Public

    A Jev-powered technical analysis workspace for China A-shares, supporting AKShare/Tushare, market scans, and Buy/Hold/Sell assessments with time horizons and traceable evidence.

    Python 3 1

  6. Word-Style-Studio Word-Style-Studio Public

    Design native Word styles, multilevel numbering, and reusable DOCX/DOTX templates in your browser. Files stay local.

    TypeScript