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A member-only framework for reviewing drawdown thresholds, stress scenarios, exposure overlap, and decision triggers before scaling an idea.

A practical introduction to turning a market observation into a measurable hypothesis, reviewable evidence, and a clear limitation note.

A compact review card for documenting benchmark choice, bias checks, cost assumptions, and limitations.

A lightweight log for recording target weights, drift bands, review cadence, and exception decisions.

A reference for sizing sleeves and reviewing allocation changes with consistent rules.

References for evaluating historical simulations without overstating what they prove.

A pre-publication checklist for historical research summaries.

Portfolio-method references for allocation, exposure, diversification, and review cadence.

Historical strategy validation, assumptions, and reproducibility.

Positions, account metrics, allocation, and reporting.

A structured example showing how to document assumptions, costs, and limitations without presenting a signal.

A reference series or policy portfolio used to evaluate performance, risk, exposure, or opportunity cost.

The degree to which exposure is dominated by a small number of holdings, factors, sectors, or assumptions.

A research error where an analysis uses information that would not have been available at the simulated decision time.

Data reserved for evaluation after rules or parameters have been chosen on separate development data.

The process of returning allocations toward defined targets or adjusting them under documented rules.

A research error caused by testing only observations that survived to the current sample.

The frictions that reduce implementable results, including fees, spreads, market impact, and other execution costs.