Skip to content

QAT Systems

Where Probability Meets Structure

Menu
  • Home
    • About
    • Contact
  • Framework
    • Methodology
    • Probability-Based Levels
    • Extended Levels
    • Fast Moves
    • Pattern Definition
    • Risk Management
    • Position Size
  • Research Library
    • Introduction to Intra-Day Analytics
    • Determining Daily Intra-Day Direction
    • Determining Daily Intra-Day Direction – Is it possible? (Original)
  • Results
    • Daily Results
    • Weekly Results
    • SP 500 Results
    • ETF Results
  • Members
    • Member Portal
    • Member Research Portal
  • Login
Menu

Member Research Portal

Members

Member Research Portal

Structured access to ongoing research, daily structural data, and analytical tools generated using the Intra-Day Momentum Method.

A Research Environment Built on Structure

This section provides members with access to the research tools, outputs, and studies built around the Intra-Day Momentum Method.

The goal is not to provide signals, but to create a structured environment where intraday behavior can be observed, evaluated, and studied consistently.

Research Areas

  • Weekly Briefs
  • Daily Level Data
  • Analytical Studies
  • Historical Archive

These sections can be expanded as additional member resources are added.

Continue Exploring

Return to Member Portal
View Research
Explore Framework

About This Site

QAT Systems, LLC is dedicated to bringing the short-term and intra-day trader the absolute BEST in short-term trading analytics.

Find Us

Hours
Monday–Friday: 9:30AM–4:30PM
Saturday & Sunday: Closed

The Intra-Day Momentum Method

The Intra-Day Momentum Method is a more scientific approach to market analysis and risk management. It has been designed for intra-day trading. This method of analyzing market data has been applied to three market based ETFs from February 2022 to January 2023. In this book, Todd goes through the application of the model using eight different approaches. Each approach is analyzed and suggestions for increased improvements are offered.

During a brief career as a trader, Todd Hudson discovered that the analysis techniques used my most traders were inherently flawed. Oftentimes, the analysis resulted in guesswork. This often led to more questions than answers. After studying numerous methodologies and technical indicators, Todd decided to create a more scientific approach. This scientific approach would be based on risk management and historical patterns. This would allow traders to place trades using historical analysis of these patterns to determine future probable outcomes. The initial goal was to get a sense of the daily direction for intra-day trading.

©2026 QAT Systems | Design: Newspaperly WordPress Theme