Data integrity
Coverage checks, anomaly detection, symbol mapping, session alignment and corporate-action review.
We develop evidence-based frameworks that turn financial time series into clear, testable questions—not predictions presented as certainty.
Coverage checks, anomaly detection, symbol mapping, session alignment and corporate-action review.
Cross-sectional and time-series studies of momentum, value, quality, volatility and liquidity.
Measure how correlations, volatility and trend behavior change across macro and liquidity conditions.
Explore diversification, exposure, turnover, drawdown and risk-adjusted performance.
State the hypothesis, universe and decision rule before testing.
Use licensed or authorized observations with documented provenance.
Align calendars, currencies, identifiers and corporate actions.
Apply realistic costs and guard against look-ahead bias.
Run sensitivity, sub-period and out-of-sample checks.
Record assumptions, limitations and reproducible results.