Edward Chen

AI-native systematic trading & execution | Quant Trader in prediction markets

Role
Quantitative Trader at Stealth
Location
Irvine, CA, US
LinkedIn followers
500 followers
Finance & AccountingView LinkedIn profile

About Edward Chen

Building AI-native systems in agentic trading, sentiment analytics, data infrastructure and language models.With prior experience in quant research, trading, protocol engineering and agent systems.I trade on my own systems, and use realized PnL to fund further work. The focus is on real performance, production quality, and practical usefulness.Creator of- BanZhuan.AI: AI-native non-custodial agentic trading- Gigging.AI: Low-latency agentic trading on Polymarket (invite only)- SentiMove: Visualization of market-moving sentiments- SentiChain: Decentralized sentiment infrastructure-\'pip install aparecium\': Embedding matrix reversal

Experience

  1. Quantitative Trader

    Stealth

    Mar 2026 — Present

    Prediction markets (AI-native).

Education

  • University of Cambridge

    Bachelor's degree, Experimental and Theoretical Physics

Skills

  • Object-Oriented Programming (Oop)
  • Functional Programming
  • Data Analysis
  • Financial Analysis
  • Experimental Physics
  • Theoretical Physics
  • Databases
  • Fundamental Analysis
  • Quantitative Research
  • Machine Learning
  • Financial Engineering
  • Web Mining
  • Optical Character Recognition (Ocr)
  • Natural Language Processing
  • Web Development

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Edward Chen — Quantitative Trader at Stealth in Irvine, CA, US | Unifers