Methodology (How the scanner works)

This page explains what we mean by Probability of Profit (PoP), the assumptions behind it, and what we intentionally filter out.
Educational only — not financial advice.

What “PoP” means here

PoP is an estimate of the chance a spread expires at max profit (or within a profit zone), based on option prices and volatility. It is a model-based estimate — not a guarantee.

  • Uses market-implied inputs (like IV) + standard option math assumptions.
  • Assumes liquid markets and normal execution constraints (fills, slippage).
  • Does not know future news, gaps, or regime shifts.

Assumptions (and why they matter)

  • Volatility is not constant: models can be wrong when IV changes fast.
  • Early management changes outcomes: exiting early can raise win rate and lower tail risk.
  • Execution matters: wide bid/ask spreads and low liquidity can wreck theoretical edges.

What we filter out (by design)

  • Illiquid chains (poor fills, misleading prices)
  • Spreads with unattractive risk/reward for the given PoP
  • Setups that fail basic sanity checks (pricing/greeks inconsistencies)

Validation status of A–F grades

We pre-register hypotheses and run backtests on real 2020–2023 option chains with realistic (bid-side) fills. Both real-market validations of the grading system to date were rejected:

  • H-SCAN-1 (faithful production replay, 2020–2023): produced no A-grade picks on the coarse historical strike grid; the picks it did produce had negative average expected value at bid-side fills. Rejected.
  • H-SCAN-2 (cost-aware ranking, held-out 2022–2023): A-grade picks had significantly negative expected value per margin at bid-side fills. Rejected.

Bottom line: grades are experimental and have not demonstrated a positive edge net of costs. Use them as a screening convenience, not a proven signal. We will update this section if a future pre-registered validation passes.

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See exactly how to go from scanner → short list → execution.

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