Who this is for
You research markets rather than react to them. You want to compare assets on the same footing, understand why a read changed, and test a thesis instead of trusting a single score.
Start from the regime, not the price
Price tells you what happened; a regime tells you what kind of market produced it. Antick runs six engines over the same universe: MSI for structure, MPI for crowd perception, SAI for quiet accumulation, LBI for order-book liquidity, SCTA for cross-timeframe alignment and SMOD for each asset against the whole market.
See clusters and outliers
The Quadrant Scatter places every asset on two structural axes. For MSI those are trend strength and directional efficiency, so leaders, clusters and outliers stand out without building a screener first.
Understand why a read changed
Each asset has a Structure DNA radar of every axis the engine measures, a Regime Interpretation in plain language and a transition timeline. When a regime flips, you can see which axis moved.
Check alignment across timeframes
SCTA separates Clean Alignment and Pullback Alignment from Fake Alignment, Divergent Move, Overextension and Breakdown. The structure matrix shows the same read from 5m to 4H, with the share of each state.
Anchor the thesis to traded volume
Volume Profile marks the point of control and the value area, and State Probabilities shows how likely each next accumulation state is. Together they tie a thesis to where volume really traded.
Open every number
The Metrics Breakdown page lists every input behind a read, one by one, with the scenarios, risk conditions and invalidation. Nothing is hidden behind a single score.
Read next
A research workflow: rank, screen and compare regimes
Metrics Breakdown: every number behind a read
Which engine answers your question?
A weekly market review routine