Why structure comes before a signal
A price move has different meaning in a liquid trend, a compressed range, and a stressed market. The framework first identifies the market state, then asks whether the option chain confirms or contradicts the price narrative.
An evidence map across markets
The evidence map combines direction and dispersion in the underlying, implied-versus-realized volatility, term structure, skew, volume, open interest, bid–ask quality and distance to relevant strikes. Agreement raises confidence; disagreement becomes an explicit research question.
Interpretation discipline
No option metric is treated as a stand-alone forecast. A rich premium may represent compensation for genuine event or tail risk, while apparently cheap protection may be difficult to trade. Conclusions are conditioned on time horizon, liquidity and maximum loss.
Research method
- Define the observation window and classify trend, range, compression or stress.
- Measure realized volatility, implied volatility, term structure and skew on comparable horizons.
- Inspect option-chain liquidity, strike spacing, volume, open interest and execution friction.
- Record confirming and conflicting evidence, then state the conditions that would invalidate the interpretation.
Boundaries and limitations
Quotes, volume and open interest are snapshots rather than complete intent data. Market microstructure changes around the open, close and scheduled events, so the same pattern may carry different risk at different times.
Research takeaway
The useful unit of analysis is not a stock signal or an option premium in isolation; it is the relationship between price behavior, volatility pricing, liquidity and a clearly bounded loss profile.
Related research
Research and technology implementation only. This is not financial, investment, or trading advice.