A quant research project to model and forecast intraday session alpha in Gold (XAU/USD). This repo tests multiple trading hypotheses via a dual-model framework, benchmarking tree-based learners (XGBoost) vs sequence models (LSTM, Transformers) across each research question for predictive performance and signal decay.
×
Scan with WeChat to Share
Open WeChat, tap "Discover" at the bottom, and use "Scan" to share this page with friends or on Moments.