01
DETECT
The Signal
We scan for institutional extremes and "crowded trades" using COT data and RS rotation scans.
StatStacks combines CFTC positioning, options gamma structure, and relative strength into one research workflow — so you can see when institutional flow, dealer hedging, and price leadership all point the same direction.
COT Sentiment
Institutional extremes and crowd positioning
GEX Structure
Dealer pressure, flip zones, and volatility floor
RS Leadership
Beta-adjusted leaders separating from peers
3
Signal Engines (COT · GEX · RS)
Daily
CFTC & Options Data Refresh
Multi-Asset
Indices · FX · Metals · Energy
Transparent
Methodology, No Black Box
Process
Trade process over prediction.
01
DETECT
The Signal
We scan for institutional extremes and "crowded trades" using COT data and RS rotation scans.
02
VALIDATE
The Context
Cross-reference signals against Gamma flip zones and strike pressure to confirm the path of least resistance.
03
EXECUTE
The Plan
Build a systematic trade plan with risk levels, invalidation points, and execution-ready alerts.
Core Modules
Each module contributes a distinct edge, then joins into one decision model.
01
Identify the Heavyweights.
Visualize where smart money is hedging and where weak hands are trapped before turns show up on price.
02
Know the Floor.
Map gamma flip zones and strike pressure to understand where dealer hedging can create support or resistance.
03
Trade the Leaders.
Use beta-aware RS to isolate true outperformers instead of buying weakness that only looks cheap.
Methodology
Scoring
Proprietary 0–100 Congruence Score based on historical sentiment extremes, gamma structure, and RS alignment.
Reality Check
StatStacks identifies probability, not certainty. Human execution discipline still determines outcome.
01
Find weekly COT regime shifts and hold trend continuation setups across a 10- to 14-day window.
02
Use gamma walls and flip zones to time entries, exits, and invalidation points in S&P and Nasdaq products.
03
Track RS rotation across indices, FX, metals, and energies to identify emerging cycle leadership.
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