Entry 02 / 12
May 2026 – Present
Trader's Edge
My final-year project (advisor: Anand Bhojan): an AI platform that generates and backtests trading strategies, then packages them into an interactive, data-rich learning environment for students. Working MVP shipped (private).
Stack
Links
Notes
The thesis is that most people learn trading backwards: they read strategy descriptions long before they ever watch one fail on real data. Trader's Edge inverts that. You describe an idea in plain English, the system turns it into a backtestable strategy, and you watch it play out against historical data before you trust it. The hard part isn't the generation; LLMs are good at that now. It's the guardrails around backtesting: survivorship bias, look-ahead leakage, overfitting to a single regime. The learning environment exists so a student can see why a strategy that looks great in-sample falls apart out-of-sample. Still building; the MVP is private for now.