Quant Research
Quantitative research metrics: SOTA evaluation for range bars, Sharpe ratios with daily aggregation, ML prediction quality (IC, autocorrelation), crypto-specific considerations
Skills in this plugin
8- ▌ Adaptive Wfo Epoch · terrylica bundleAdaptive epoch selection for Walk-Forward Optimization. TRIGGERS - WFO epoch, epoch selection, WFE optimization, overfitting epochs.
- ▌ Backtesting Py Oracle · terrylica bundlebacktesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against.
- ▌ Exchange Session Detector · terrylica bundleDST-aware exchange session detection using exchange_calendars. Holiday & lunch break handling. TRIGGERS - exchange session, trading hours
- ▌ Zigzag Pattern Classifier · terrylica bundleZigZag swing pattern classification for algorithmic trading. UP-DOWN and UP-DOWN-UP patterns. TRIGGERS - zigzag, swing classification
- ▌ Opendeviation Eval Metrics · terrylica bundleevaluating open deviation bar signal quality, computing Sharpe ratios with non-IID bars, running PSR/DSR/MinTRL statistical tests, or assessing.
- ▌ Evolutionary Metric Ranking · terrylica bundleMulti-objective evolutionary optimization for per-metric percentile cutoffs and intersection-based config selection.
- ▌ Odb Microstructure Forensics · terrylica bundleInvestigate why ODB bars are oversized, have zero duration, or show anomalous price ranges by forensically analyzing Parquet.
- ▌ Sharpe Ratio Non Iid Corrections · terrylica bundleGeneralized Sharpe ratio inference under non-Normal serially correlated returns. Implements López de Prado, Lipton & Zoonekynd (2026): PSR, MinTRL, DSR, pFDR, oFDR, SFDR with ρ-corrected variance (Eq 2-3). Numba JIT for production speed. Use when computing Sharpe significance, minimum track record, false discovery rates, or deflated Sharpe ratios with autocorrelation correction.