// DEEP LEARNING FOR SYSTEMATIC TRADING
Alpha Through
Neural Architecture
// specialising in
Research, code, and live models at the intersection of deep learning and quantitative finance.
0.00
SHARPE RATIO
0.0%
BACKTEST WIN RATE
0
PUBLISHED MODELS
0.0%
VAR 95%
// LATEST RESEARCH
riskpythonquant6 min read
VaR, SVaR and CVaR: A Practical Python Implementation
Implement Value at Risk, Stressed VaR, and Conditional VaR from scratch using NumPy and SciPy on a real equity return series.
March 29, 2026
deep-learningpythonbacktesting10 min read
LSTM Price Forecasting with Attention Mechanisms
Build a PyTorch LSTM with a Bahdanau attention layer for equity price forecasting, with walk-forward backtesting and Sharpe-ratio evaluation.
March 22, 2026