⬡ Our Methodology

Quantitative rigor.
Institutional precision.

Our analytical framework combines systematic models, cross-asset data, and structured research to deliver actionable intelligence — not noise.

How It Works

A systematic, multi-layer approach

Every signal we publish passes through a multi-stage validation process before reaching your desk.

01
Data Ingestion & Normalization
We aggregate price, volume, options flow, macro indicators, and cross-asset relationships from institutional-grade data providers. All inputs are cleaned, normalized, and validated before entering our models.
02
Quantitative Model Stack
Seven proprietary intelligence models process the normalized data simultaneously — each focused on a specific signal domain: momentum, regime, flow, volatility structure, and cross-asset correlation.
03
Signal Synthesis
Model outputs are synthesized into a coherent market view, resolving conflicts across signals using a rules-based weighting system.
04
Key Level Mapping
Critical price levels — support, resistance, gamma walls, and liquidity clusters — are identified and refreshed throughout the session before being published to the desk.
05
Real-Time Updates
The desk updates continuously throughout market hours. Signals are re-evaluated as conditions evolve, ensuring you always have the most current read on the market.
Model Coverage

7 intelligence models. 450+ securities.

Our model stack is designed to identify high-conviction opportunities across equities, macro, and derivatives markets.

📊

Momentum Model

Identifies sustained directional trends across multiple timeframes, filtering for statistically significant moves with institutional participation confirmation.

🔄

Market Regime Model

Classifies current market conditions — trending, ranging, or transitional — and adjusts signal weights accordingly to reduce false signals in choppy environments.

💧

Options Flow Model

Tracks options-derived exposure analytics — including gamma, vanna, and charm where available — to identify positioning signals before moves materialize.

📉

Volatility Structure Model

Analyzes the term structure of volatility, skew, and IV rank to identify directional signals embedded in the options market.

🌐

Cross-Asset Model

Monitors correlations between equities, fixed income, currencies, and commodities to identify macro dislocations that historically precede equity moves.

🎯

Key Level Model

Statistically identifies high-probability support, resistance, and liquidity zones using order book data, historical pivots, and options gamma concentration.

🗓️

Seasonality & Event-Study Model

Leverages deep historical index data and event studies — FOMC, CPI, and PPI releases, monthly seasonality, and statistical analogues — to surface recurring, calendar-driven patterns.

7+
Intelligence Models
450+
Securities Covered
28+
Market Groups

Ready to access the desk?

Get quantitative market intelligence delivered to your terminal — models, key levels, flows, and cross-asset reads in real time.

Subscribe & Get Access →