Level 3 quantitative analysis built for macro professionals. From trend detection to AI-powered forecasting— the same analytics used by hedge funds and central banks, now accessible on every dataset page.
Quant Analytics transforms raw economic time series into actionable intelligence. Go beyond basic charting with institutional-grade tools that automatically analyze trends, measure volatility regimes, classify business cycles, detect correlations, flag anomalies, and generate forward-looking forecasts.
Every metric is computed on-the-fly from the latest data, ensuring your analysis reflects real-time conditions. Whether you're building macro models, stress-testing portfolios, or writing research notes, Quant Analytics delivers the edge you need.
Automatically detect trend direction and strength using linear regression slopes, momentum indicators, and moving average crossovers. Quickly identify whether a series is in acceleration, deceleration, or reversal.
Measure historical volatility and detect regime changes in real time. Identify low-vol, normal, and crisis regimes using rolling standard deviation and z-score thresholds calibrated to macro data.
Map each data point to a stage of the business cycle—expansion, peak, contraction, or trough. Built on HP-filter detrending and second-derivative analysis to align with NBER methodology.
Compare any dataset against macro benchmarks (GDP, CPI, rates, equities) with rolling and static correlation matrices. Spot lead/lag relationships and diversification opportunities.
Automatically flag outliers and data revisions that could skew your analysis. Uses z-score thresholds and moving-average deviation to surface suspicious data points before they impact your models.
Generate probabilistic forecasts with confidence intervals using a blend of ARIMA, exponential smoothing, and DataSetIQ's AI engine. Perfect for scenario analysis and forward-looking research.
Quant Analytics is available on all dataset pages for Pro and Team subscribers.
