Foundation group
Results & Evidence
How to read paths, uncertainty, sensitivity, fidelity, attribution, and risk together.
Guide map
Read only as far as the decision requires.
Each guide stands on its own while linking forward to the strategy or Results question it supports.
Results & Evidence guides
Performance paths and trade distributions
Read the route a strategy took, not only the summary statistic at the destination.
Monte Carlo, resampling, and stress paths
Different uncertainty tools answer different questions; none creates a trustworthy future from weak assumptions.
Null models: randomized entries and permutation tests
Compare a strategy with deliberately uninformative alternatives that preserve the parts of the problem you want to hold fixed.
Sensitivity, optimizer surfaces, and convergence
A stable research idea should not depend on one isolated parameter point or an optimizer that stopped for the wrong reason.
Execution fidelity and result provenance
A result is only interpretable when its data, fill model, costs, engine, and configuration can be traced.
Portfolio attribution, correlation, and risk
Explain a portfolio result through contribution, interaction, concentration, and changing dependence.