Published on Fri Oct 17 2025 19:00:00 GMT-0500 (Central Daylight Time) by Orkid Labs
TL;DR
- Traditional scoring: Routes ranked by EV alone miss critical timing and microstructure factors
- Complex microstructure factor: $Q_C = A_C e^{i\phi_C}$ captures bandwidth, depth, and phase alignment
- Time-normalized metrics: Profit per millisecond reveals true opportunity quality
- Phase conjugation: Aligning action to oppose market skew maximizes extraction
- Practical framework: Simulate EV, estimate latency, construct $Q_C$, rank by composite score
Introduction: The Limits of Simple EV
Most DeFi routing algorithms rank paths by a single metric: expected value (EV)—the simulated profit after gas and slippage.
Problem: EV alone is insufficient for high-frequency MEV extraction.
Why?
- Timing matters: A $10 profit in 1ms is better than $10 in 1000ms
- Microstructure matters: Bandwidth, book depth, and fill probability affect execution
- Phase matters: Orderflow timing relative to peers determines who captures value
Solution: We introduce a complex microstructure framework that combines:
- Negative EV pockets (from our previous post)
- Time normalization (profit per unit time)
- Complex phase factors (alignment with market dynamics)
… (truncated for brevity)
Written by Orkid Labs
← Back to blog
