May 2026 – Present
Trader's Edge
A team final-year project, advised by Anand Bhojan, that turns a plain-English trading idea into a backtest for students who haven't yet learned a strategy can cheat by knowing the future.
Stack
AI, LLMs, Backtesting, Quantitative Finance, Python
Links
Notes
We're building this for students who haven't yet learned that a strategy can quietly cheat by knowing the future. It takes a plain-English idea, turns it into a backtest against historical data, and surfaces the usual traps: survivorship bias, look-ahead leakage, regime dependence, overfitting. The MVP works; it's still moving.
The numbers
- Product
- A working MVP for specifying a strategy in plain English and backtesting it against historical data.
- Collaboration
- Team final-year project advised by Anand Bhojan, with source published through the NUS-FinTechAI organisation.
- Access
- The public demo requires Google sign-in.