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Pro Risk Review Framework
A member-only framework for reviewing drawdown thresholds, stress scenarios, exposure overlap, and decision triggers before scaling an idea.
Quantitative Analysis Methods Primer
A practical introduction to turning a market observation into a measurable hypothesis, reviewable evidence, and a clear limitation note.
Backtest review card
A compact review card for documenting benchmark choice, bias checks, cost assumptions, and limitations.
Research journal template
A structured template for recording hypotheses, assumptions, evidence, decisions, and follow-up review notes.
Backtesting discipline
References for evaluating historical simulations without overstating what they prove.
Evaluation checklist
A pre-publication checklist for historical research summaries.
Hypothesis design
A checklist for turning an observation into a testable quantitative research question.
Quantitative methods
Core research-method references for hypothesis design, measurement discipline, and reproducible analysis.
Research journal template
A durable structure for recording quantitative experiments and review decisions.
Methods
Research design, hypotheses, evidence standards, and reproducible analysis.
Backtesting
Historical strategy validation, assumptions, and reproducibility.
Research
Research notes, experiments, and reproducible analysis.
Moving average crossover research template
A structured example showing how to document assumptions, costs, and limitations without presenting a signal.
Hypothesis
A testable claim that states what relationship or behavior the research expects to observe.
Hypothesis is written after seeing results
Research setup troubleshooting: The research note reads like the result was known in advance
Lookahead bias
A research error where an analysis uses information that would not have been available at the simulated decision time.
Out-of-sample
Data reserved for evaluation after rules or parameters have been chosen on separate development data.
Pre-analysis plan
A written note that defines the question, sample, metric, and decision rule before reviewing the final result.
Primary metric
The main measurement used to judge whether a result supports the research question.
Survivorship bias
A research error caused by testing only observations that survived to the current sample.
Transaction costs
The frictions that reduce implementable results, including fees, spreads, market impact, and other execution costs.