A modular multi-asset systematic trading platform — 130+ strategies, live execution, rigorous backtesting.
Since 2024, Saeed has built and operated a systematic trading platform from scratch — 130+ strategies live across FX, equities, commodities and crypto, executing through Interactive Brokers and Binance with real-time risk controls. Backed by a background in HPC numerical simulation and PDE-based derivatives pricing.
Modular platform running 130+ strategies live across FX, equities, commodities and crypto, executing through Interactive Brokers and Binance APIs with real-time position sizing and risk controls — execution latency reduced 25%.
Regime-switching overlays maintain robustness across structural market shifts; delta-aware confidence filtering governs when signals are trusted enough to size into.
Disciplined optimisation built to mitigate overfitting; every strategy is evaluated on out-of-sample forward return distributions before it earns live capital.
Monte Carlo simulation, Black-Scholes PDE and finite-difference schemes for options pricing and stress testing under supply/demand shock scenarios; K-Means clustering for asset grouping and capital allocation.
ARIMA, LSTM, XGBoost, Gaussian Processes and Exponential Smoothing models feeding directional signals — a 12% improvement in forecast accuracy across the pipeline.
A classification/regression pipeline for signal generation — data preprocessing, ML model training, backtest interpretation, parameter optimisation and walk-forward validation as discrete, reproducible stages rather than one monolithic script.
A step-by-step guide into the world of quants — 70+ documented systematic strategies, including commodity and FX models.
View on Amazon →The modular, multi-asset trading platform itself — 130+ integrated strategies with live execution, open on GitHub.
View repository →Certifications: Algorithmic Trading and Finance Models with Python, R & Stata (2024) · Cryptocurrency Algorithmic Trading with Python and Binance (2024) · Python for Finance (2024)