Momentum and breadth scan
Summary of short- and medium-term breadth, dispersion, and trend persistence. We compare current readings to historical quartiles to frame odds of continuation versus mean reversion.
Latest research highlights
This section curates timely explainers and data-driven observations drawn from our dashboards. We focus on what visibly changed in the data, how readings compare to prior regimes, and which indicators deserve follow-up. Each highlight includes context, such as rolling volatility, breadth, and factor leadership, to help you understand what may be noise versus trend. We emphasize clarity over prediction: you will find the inputs we used, why they matter, and how sensitive they are to revisions. Our goal is to equip readers with a consistent lens for assessing risk and opportunity, not to call tops or bottoms. If a topic interests you, jump to the Features page to see the underlying models and variable definitions, or open Case Studies to review how similar conditions played out historically with different allocation choices.
Signal attribution
Feature-level attributions show which variables drove recent model shifts. Confidence ranges and stability checks help distinguish durable moves from transient spikes.
Risk lens dashboard
A compact view of volatility regimes, drawdown depth, and cross-asset stress markers. The dashboard highlights threshold breaches that warrant closer monitoring.
Methodology and model notes
Our methodology notes explain how indicators are built and the trade-offs behind key design choices. You will find details on data normalization, outlier handling, and feature engineering approaches used in our signal engine. Each note includes assumptions, known caveats, and links to supporting references where appropriate. We prefer interpretable techniques when they provide adequate performance, and we disclose the limits of any model so you can judge fitness for purpose. These documents are not sales materials; they are working references that outline how inputs become outputs. If you want to connect a concept to live data, visit the Features page for the corresponding visualization and variable definitions. For historical context and decision framing, our Case Studies show how a given configuration would have behaved across different markets.
Data hygiene
Coverage checks, survivorship bias notes, and adjustments for splits, dividends, and contract rolls where applicable.
Feature engineering
Windowing, smoothing, and scaling choices designed to balance responsiveness with stability and reduce false positives.
Validation
Out-of-sample checks, walk-forward testing, and robustness probes that help distinguish durable signals from artifacts.
Education primers and guides
Primers offer plain-language explanations for core investing ideas that surface in our dashboards. Topics include factor investing, regime detection, drawdown management, and the role of diversification. Each guide focuses on how to interpret signals and how to avoid common pitfalls such as overfitting or reacting to single data points. We highlight context windows, stability checks, and risk controls that support a measured process. These materials are educational and designed to help you frame decisions, not to recommend specific trades. If you want to see how concepts map to real outcomes, visit Case Studies for historical walkthroughs. When you are ready to explore the live indicators, the Features section connects each idea to its model implementation and variable glossary.
Factor investing basics
Understand common equity factors, how exposures are estimated, and ways to interpret factor rotation without overreacting.
Risk management checklist
A practical list for reviewing drawdowns, volatility shifts, and scenario outcomes before changing allocations.
Important information
The resources on this page are for informational and educational purposes only and do not constitute financial, legal, or investment advice. Investing involves risk, including the possible loss of capital. Past performance does not guarantee future results.