James Lewis

MSc Data Science & Statistics @Exeter. Building real-time trading bots, crypto analytics tools, and predictive ML pipelines.

Hey, I’m James Lewis

I’m a Data Science MSc graduate (distinction) with a background in Economics, now focused on quantitative finance, algorithmic trading, and crypto research. My work combines academic rigour with live market deployment.

Over the past year, I’ve:

  • Built and deployed live Solana trading bots — including a Dex-Paid Signal Bot that monitors new mints, detects approval events in real time, and executes tiered strategies in both paper and live trading.
  • Discovered novel on-chain alpha signals by analysing wallet behaviour, liquidity events, and market microstructure.
  • Written research on Quantile Return Forecasting in crypto, bridging advanced statistical models with trading applications.
  • Delivered projects across domains from finance and DeFi to health and ecology, always with a data-driven, research-oriented approach.

💡 What Drives Me

  • Building and refining algorithmic trading systems
  • Exploring quant research in crypto and market microstructure
  • Applying machine learning and AI to real-time trading problems
  • Engineering strategies designed to beat the market with data

🧠 Competitive Mindset

I thrive where edge matters. That shows up in both work and play:

  • Strategy games (Command & Conquer, Total War, League of Legends)
  • Rugby, Olympic Weightlifting, Brazilian Jiu-Jitsu

In trading as in sport, I focus on discipline, adaptability, and constant iteration.

📬 Want to Collaborate?

If you’re building in quant systems, algorithmic trading, or crypto analytics, let’s connect.