Use options, sizing, calibration, and microstructure surfaces when the research workflow needs narrower evidence.
Use this guide when the core research workflow is not enough and the hypothesis needs options-derived context, empirical sizing, calibration, or market-microstructure detail.
These surfaces are method-specific instruments, not generic dashboards. Open them because the question requires them, not because they look available.
Options, sizing, calibration, and microstructure each answer a different layer of the research problem and should be chained deliberately.
Keep the same instrument, interval, and date-window assumptions aligned across these methods so the outputs remain comparable.
These are the specialist research tools that deepen a mature hypothesis.
Collect option chains, build surfaces, and inspect skew or term-structure context for a selected instrument.
Use empirical Kelly, analog matches, path sampling, and recommendation outputs to frame position sizing.
Build calibration runs, inspect surfaces and drift, and review stability before trusting model probabilities.
Inspect trades, quotes, order book, role features, and QC rows when execution detail matters to the hypothesis.
Cross-check the adjacent market-facing microstructure surface when the research read needs desk-oriented confirmation.
Use this loop to keep narrow methods tied back to the broader research question.
Lock the watchlist, instrument, interval, and date horizon before you generate any method-specific output.
Use options and microstructure surfaces to understand flow, structure, and liquidity context before you choose exposure.
Treat empirical sizing as the risk layer that translates the thesis into position bounds instead of a standalone decision.
Use calibration surfaces and drift checks to verify that the probability layer is stable enough to support a decision.
Do not run these methods with drifting instrument or horizon assumptions unless you are explicitly testing sensitivity.
Options and microstructure should clarify the market state, not be used to reverse-engineer a preferred conclusion.
Sizing recommendations are only as trustworthy as the analog and calibration context behind them.
Calibration drift or thin-sample warnings should slow the workflow down before the result is used for promotion or execution.
Jump into the options surface to inspect chains, surfaces, and matrix outputs.
Review analog-supported sizing runs, path outputs, and recommendation fields.
Inspect calibration surfaces, drift, and stability when the model-confidence layer needs verification.
Mar 24, 2026
Report unclear guidance, stale contracts, missing coverage, or broken docs UI on this page.
Open feedback issueJump to the section you need without losing your place.
Mar 24, 2026
Report unclear guidance, stale contracts, missing coverage, or broken docs UI on this page.
Open feedback issue