Measure the opening state
Use the first 30 minutes to define a predetermined complexity score from predictive surprise, entropy, and cross-scale disagreement.
Hugging Face Static Space · Research Prototype
A leakage-free, synthetic demonstration of how opening complexity and option liquidity may change where information appears first.
Use the first 30 minutes to define a predetermined complexity score from predictive surprise, entropy, and cross-scale disagreement.
Compare synthetic options → stock and stock → options predictive contributions over future 5-, 15-, and 30-minute horizons.
Ask whether complexity strengthens option leadership when option markets are liquid but weakens or delays transmission when they are illiquid.
Adjust the pre-outcome state. The simulator keeps the causal direction intentionally simple so the hypothesized interaction can be inspected.
Opening complexity C
0.60average of the three standardized-style components in this demoOption → stock contribution
0.000synthetic ΔR²-like scoreStock → option contribution
0.000synthetic reverse-direction scoreLeadership L
0.000positive = option leadership; negative = stock leadershipBars show the synthetic directional contributions implied by the current settings.
The empirical design fixes complexity using only 09:31–10:00 information, preventing look-ahead into the outcome window.
Complexity × option innovation × lagged option liquidity, estimated with chronological out-of-sample splits.
Volatility relabeling, stale quotes, inventory/hedging, common news, stock-borrow costs, and timing placebos must be audited.
The mechanism is processing-load-consistent, not a claim that individual cognition directly causes market outcomes.