Algo Wars Hackathon 2025 — Quant Trading Strategy Evaluation
Participated in Algo Wars Hackathon 2025 London at Imperial College London. Our team FH won second place in the Trading track and received best pitch/roadshow recognition. We developed an ETH/USD spot CTA-style automated trading strategy using Pine Script and TradingView, involving Z-score price deviation, RSI normalisation, volatility thresholds, market skewness, momentum factors, and backtesting. This experience supports evaluation of crypto, trading, quantitative strategy, and financial AI outputs for logic, clarity, and domain correctness.