Uses of Package
com.quantfinlib.core

Packages that use com.quantfinlib.core
Package
Description
Cross-sectional alpha research: signal generation, evaluation, validation, execution-aware backtesting, portfolio construction and reporting, each a separate step.
Bar-based backtesting engines, execution models and performance analytics.
Multi-asset portfolio backtesting with point-in-time universes and financing.
Validation tools that test a backtest for overfitting.
Core bar and bar-series types used by every analytics package.
Loading, recording, replaying and aligning market data.
Order routing, execution algorithms and the venue models they learn from.
Technical indicators in batch and streaming form.
Market microstructure analytics: impact, liquidity, order-flow signals and intraday curves.
Benchmark-fix and regulatory execution metrics.
Risk measurement, decomposition, limits and model validation.
Stock screening by technical and fundamental filters, with ranking and CSV export.
Volatility models: EWMA, GARCH-family, HAR-RV, a model-free volatility index and a systematic/idiosyncratic decomposition.