Leonardo Kulon
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Algorithmic Trading Platform

A research platform for building, optimizing, and backtesting intraday silver futures strategies.

Role
Developer
Date

What it does

  • Genetic-algorithm optimizer and neural-net models for an intraday strategy on CME silver futures (1-minute bars)
  • Backtests against real tick data, modeling commission, limit-order fills, 150ms execution latency, and order-book depth
  • Clean holdout protocol so strategy selection and final evaluation never touch the same data

The web app

  • Candlestick charts with custom indicators written in JavaScript or Python (Pyodide) right in the browser
  • Launch GA optimization and training runs, stream their progress live, and push results back
  • Batch CSV uploads for market data

Tech Stack

  • SvelteKit + Drizzle + PostgreSQL, Better Auth
  • Python, PyTorch, pandas, Databento for market data
  • Docker Compose