Research foundations
In-sample vs out-of-sample, distributions, drawdown, uncertainty, selection, and why one backtest is not a conclusion.
Start here →Learn / structured education
Learn the reasoning before memorizing the buttons.
Learning paths connect visual concepts, methods, task-based How-Tos, and precise reference material so a user can move from “what is this?” to “how do I use it?” without losing context.
RESEARCH
QUESTION
01Conceptplain language02Visualinspect geometry03Methodassumptions04How-Tocomplete a task05Docsexact referenceQUESTION
Start here
Choose a learning path.
These paths organize the curriculum. Product-specific lessons appear only after their behavior has been verified.
Visual research
Use interactive synthetic diagrams to understand high-dimensional candidate sets, Monte Carlo paths, and robustness geometry.
Open Research Lab →Product workflows
Task-focused lessons connect practical workflows to the concepts that explain why each step matters.
Open How-Tos →Concept atlas
Start with the question, then open the visual or method.
Use these concept pages to understand the research idea before applying it to a workflow or result.
Monte Carlo
Alternative paths under an explicit randomization or resampling rule.
Open concept →Out-of-sample evidence
Separate evidence used for development from evidence reserved for evaluation.
Open concept →Walk-forward analysis
Move the train/evaluate boundary through ordered windows.
Open concept →Parameter robustness
Compare a broad neighborhood with an isolated optimized point.
Open concept →Drawdown
Depth, duration, and recovery from a prior running peak.
Open concept →Selection bias
Why the best-looking result changes meaning when many candidates were tried.
Open concept →Correlation & diversification
See structure in relationships instead of counting exposures.
Open concept →Distribution shape
Mean and dispersion can hide skew, tail mass, and multimodality.
Open concept →Regime coordinates
Define a regime with explicit state variables before treating the label as meaningful.
Open concept →Academy structure
Academy is not a thumbnail wall. Each lesson combines a short goal, written explanation, optional click-to-load video, related concepts, expected state, common mistakes, and the exact Docs link when a product reference exists.
Start HereOrientation and research vocabulary.
ValidationHoldouts, walk-forward, Monte Carlo, selection bias, and interpretation.
Charts & Visual ResearchReading visual evidence without confusing graphics with proof.
ModelsEvaluation, calibration, uncertainty, and selection principles before product-specific instruction.
Video LessonsOptional click-to-load companions paired with complete written explanations.