Aspiring Quantitative Researcher actively building toward a career in systematic trading & alpha research at firms like WorldQuant.
Currently an IT undergraduate at UIT (VNUHCM, enrolled Mar 2026, expected 2028), I committed to a formal CS degree to fully embrace the AI revolution — combining it with 2+ years of hands-on experience building AI-driven trading systems and quantitative strategies.
"I build trading systems that think. My goal is to generate alpha through rigorous research, not gut feelings."
📍 Based in: Ho Chi Minh City, Vietnam
🎓 Education: UIT – VNUHCM (B.Sc. IT, Distance Learning, 2026–2028)
💼 Focus: Quantitative Research · Algorithmic Trading · AI Agent Systems
🏆 Goal: WorldQuant Brain Consultant → Full-time Quant Researcher
| Timeline | Milestone | Status |
|---|---|---|
| Q2 2026 | Complete WorldQuant Brain IQC · Submit 10+ alphas · Statistics & Probability foundations | 🔄 In Progress |
| Q3 2026 | Build end-to-end quant research project · Linear Algebra + Time Series · Reach Bronze+ on WQ Brain | ⏳ Planned |
| Q4 2026 | Publish alpha research blog · Factor models & Portfolio optimization · Apply WQ Brain Research Consultant | ⏳ Planned |
| Q1 2027 | Stochastic Calculus foundations · Competitive programming practice · Production backtesting framework | ⏳ Planned |
| Q2–Q3 2027 | Internship applications (WorldQuant, Jump, Two Sigma) · Reach Silver+ on WQ Brain | ⏳ Planned |
| Q4 2027 | Graduation thesis: Quantitative research topic · Full-time application cycle | ⏳ Planned |
Backtested, production-grade systems for Forex (XAUUSD), Crypto, and Prop Firm challenges:
| Project | Description | Tech |
|---|---|---|
| ex5-backtest | 🆕 MT5 Auto-Backtest Pipeline — Headless CLI: Compile→Test→Rank 70 EAs. MT5×AI Agent bridge | PowerShell, MQL5, CLI |
| xauusd-smc-signal-engine | AI Trading Engine — XGBoost + Smart Money Concepts. EV+0.183R, 78% monthly win rate | Python, XGBoost, Walk-Forward |
| btc-smc-rl-bot | Reinforcement Learning (PPO) learns BTC entry points, auto-exports MT5 EA | Python, Stable-Baselines3 |
| xauusd-ichimoku-rl-bot | RL (PPO) multi-timeframe Ichimoku for XAUUSD. +7.12% test, PF 3.76, WR 86.7% | Python, Gymnasium |
| comarai-arb-bot | On-chain Stablecoin Arbitrage on Solana — dynamic threshold, cooldown protection | TypeScript, Solana |
| comarai-algo-promax | SMC + Trend MAs + Proxy ML Triggers — Pine Script + Python backtesting pipeline | Pine Script, Python |
| mql5-multisignal-dca-ccbsn | 9 Signal Modes × DCA × Anti-Detect — MT5 EA with Python ML Optimizer | MQL5, Python |
| ict-system-ea | ICT System EA v2.0 for The5%ers Prop Firm | MQL5 |
| trade-quy-v2 | Ichimoku DCA CCBSN — designed for FTMO/The5ers evaluations | MQL5 |
| hcc-reader | Reverse-engineered MT5 .hcc/.hc binary format parser | Python |
| lorentzian_mq5 | Lorentzian Classification ported to MQL5 | MQL5 |
📊 More Trading Tools & Indicators (click to expand)
- pinescript-ict — ICT SSL Premium & Discount PineScript v6 indicator
- Pine-Script-Code — Strategy & indicator code vault
- indicator-tradingview — TradingView indicators collection
- moondev-agent — Trading AI Agents: Ichimoku + MQL5 Backtest Pipeline
- mql5-algo-trading-portfolio — Full MQL5 EA portfolio
- MQL5-WORKSPACE — MQL5 development workspace
- ICT_AI_TradingPanel — ICT manual trading panel with AI
- telegram-copy-signal — Signal copy dashboard
- telegram-channel-analyzer — NLP keyword analysis + engagement stats
- ML-for-Investment — Machine Learning for investment research
- quant-trading — Quantitative trading research
- hung-quant-handbook-2026 — Personal quant study notes
Building "zero-human" autonomous systems that research, decide, and execute:
| Project | Description |
|---|---|
| BizClaw | Trait-driven AI Agent framework — runs from Raspberry Pi to Cloud |
| ClawWork | Virtual AI workplace: agents cày task independently ($15K benchmarked in 11hrs) |
| business-deep-research | AI business research + Devil's Advocate debate (Gemini + Google Grounding) |
| social-lead-gen | Crawl (Playwright) → Classify (DeepSeek R1) → Auto-outreach (BizClaw) |
Quantitative Research & Trading
Data Science & Machine Learning
AI & Automation
University of Information Technology – VNUHCM (2026–2028) B.Sc. Information Technology (Distance Learning)
Enrolled in March 2026 — fully committed to technology & engineering to ride the AI wave, build deep technical foundations, and create lasting impact for my family in this new era.
BTEC HND in Business (Level 5) Foundation in business analysis and strategic thinking
I'm actively seeking opportunities in quantitative research, alpha generation, and systematic trading.
| 📞 Contact | |
|---|---|
| hungphamphunguyen@gmail.com | |
| GitHub | github.com/hungpixi |
| Website | comarai.com |
Built with [Antigravity AI Automation] × Human Intelligence.