AlphaBuilder
AlphaBuilder is a research-driven SaaS platform for portfolio optimization and systematic rebalancing. It transforms quantitative signals into optimized portfolios by combining regime-aware risk modeling, constraint-based optimization, and rigorous backtesting. The platform is designed to evaluate how portfolios behave across changing volatility and correlation regimes, enabling disciplined allocation, rebalancing, and index-tracking decisions. AlphaBuilder emphasizes transparency and reproducibility, allowing strategies, risk models, and optimization choices to be tested, compared, and refined before deployment.
Documentation Modules
Signal Lab
Extracts predictive structure from time-series data using HMMs, SSMs, and Transformer architectures for regime detection, volatility tracking, and alpha generation.
Risk Engine
Models market uncertainty with regime-conditional volatility, drawdown, and VaR estimation. Supports stress-testing and dynamic tail-risk assessment.
Optimizer
Adaptive portfolio optimization under dynamic, non-convex, and multi-objective settings using metaheuristic and hybrid optimization algorithms.
Backtest
A validation framework for signal-driven and optimized portfolios, supporting realistic rebalancing, transaction costs, and out-of-sample performance analysis.
Research
A curated research hub publishing working papers, collaborative studies, and peer-reviewed methods underlying signals, risk models, and optimization frameworks.
Application
System-level documentation covering orchestration, data pipelines, model integration, experiment tracking, and portfolio rebalancing workflows across AlphaBuilder components.