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thankcoom/README.md

Hi, I'm Tsung-Ying Liu 👋

Python & AI Engineer · LLM / RAG / AI Agents · Quant Trading Systems
Indie builder at 喵哩文化創意 · Taiwan (UTC+8) · Open to remote roles

LinkedIn Email Open to remote


🧭 About me

  • 🛠️ I build and run production Python systems end to end: data in, decisions out, with monitoring on top.
  • 📈 3 years as a quantitative trading researcher at a crypto hedge fund, then 3 years shipping my own trading infrastructure, LLM tools and an iOS app.
  • 🔬 I care about honest validation: preregistered research, walk-forward tests and point-in-time universes. I also write post-mortems when the backtest turns out to be wrong.
  • 🤖 I use Claude Code and Cursor every day, with tests and evidence-level "done" contracts keeping AI-assisted work safe.

🚀 Featured work

Project What it is Stack
AS Grid Dragon Multi-exchange grid trading bot (Binance · Bybit · Bitget · Gate.io) built on an exchange adapter pattern, with WebSocket market data, backtesting and risk controls Python · asyncio · FastAPI · Docker
Harmonic Pattern Scanner (private) Telegram signal service for Binance USDT perpetuals: pattern detection, indicator confirmation, signal lifecycle tracking, 800+ automated tests, and a preregistered research program that removed survivorship bias Python · ccxt · PostgreSQL · Alembic · Sentry
Alpha research pipeline (private) Automated generator → simulator → gate audit → curator loop run by Claude Code subagents; I cut a core compile step from 127s to 31s Python · SQLite · Claude Code
Multi-agent AI writing system (private) Research, fact-check, edit and SEO agents that publish to WordPress; the v7 cleanup removed 16k lines and cut per-session context by 58% Claude Code · MCP · Playwright
MeowDaigou iOS pricing calculator for cross-border shopping agents; hit Top 3 in App Store Business on day three SwiftUI · SwiftData · StoreKit 2

🧰 Tech stack

Languages   Python TypeScript Swift SQL

AI / LLM   OpenAI Claude RAG Agents

Backend & Data   FastAPI PostgreSQL Redis Pandas

Ops   Docker Linux Grafana Sentry pytest

Quant   Backtesting · Walk-forward validation · Reality Check / SPA · Monte Carlo risk models · ccxt

✍️ Lessons I write about

  • Why a 92.6% backtest win rate didn't survive a point-in-time universe (survivorship bias)
  • Win rate is a free parameter, so judge strategies by net expectancy
  • A single factor beat my 8-factor model
  • Evidence levels (D0–D4) for AI coding agents

Remote teams working on AI, LLM products, trading infrastructure or backend Python: let's talk.

Popular repositories Loading

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    Multi-exchange crypto grid trading bot (Binance · Bybit · Bitget · Gate.io) — exchange adapter pattern, WebSocket feeds, backtesting & risk controls | 多交易所網格交易機器人

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    Official website for MeowDaigou — iOS pricing calculator for Japan/Korea shopping agents | 喵代購官網

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    Landing page for an AI-assisted quant trading strategy course | AI 策略包租公課程頁

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    Claude Code multi-agent WordPress blog-writing system (research · fact-check · edit · SEO) | 部落格 AI 寫手系統

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  6. claude-code claude-code Public

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