Use cases from SignalPilot

Fit an SPX options IV surface from existing dataframes and ship publication-ready plots without rewriting your notebook.

Turn noisy crypto returns into rolling correlation views and heatmaps that highlight which assets actually move together.

Join Amplitude product events to internal RSVPs, analyze funnel drop-off, and generate a PM-ready narrative of where users churn.

Extend a real PM2.5 forecasting notebook with new features, model runs, and plots ready for a paper or stakeholder report.

Backtest a cointegration-based GLD/SLV mean-reversion strategy—from spread construction to trade rules and P&L—in one notebook.

Simulate portfolio performance through the 2011 Euro debt crisis, compute drawdowns and recovery times, and visualize risk profiles.

Pull multi-season NBA data via APIs, engineer features, and train a classifier to predict game outcomes with in-notebook evaluation.

Compare control vs treatment page performance, run proper stats, and turn conversion metrics into a clear ship/hold recommendation.

Analyze how FOMC rate decisions move the 2y/10y/30y curve with event windows, auto-generated plots, and commentary on inversions.

Clean and join messy NYC campaign CSVs, fuzzy-match candidates, and see which campaigns turned dollars into votes most efficiently.

Prototype a sector ETF momentum strategy—pull prices, define rules, backtest, and compare against SPY and equal-weight benchmarks.

Turn a wide country-by-year gold-reserve sheet into a tidy panel, rank gainers/losers from 2002–2022, and generate publication-ready visuals.