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Quantitative Analytics for Intra-Day Traders

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    • Determining Daily Intra-Day Direction – Is it possible?
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    • The Significance of The IDMM Levels
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Blog

IDMM -ETF Results October 23, 2020

Posted on October 26, 2020

The QQQ reached the MS1 Level shortly after the Open and formed a base along the MS1 Level before rallying back towards the Open after 1 PM. ‘Fast Moves’ often come from…

IDMM -ETF Results October 22, 2020

Posted on October 23, 2020

None of the ETFs met the criteria for a High Probability setup during Thursday’s trading day. Due to an error in the reported High of the day for the SPY on Wednesday,…

IDMM -ETF Results October 21, 2020

Posted on October 21, 2020

All three market-based ETFs (DIA, QQQ, and SPY) reached the ML1 level up in early trading, shortly after 9:45 AM. All three for the second consecutive day had very deep pullbacks, testing…

IDMM -ETF Results October 20, 2020

Posted on October 21, 2020

The SPY and DIA met the ML1 Level up in mid-afternoon trading around 1:15-1:30 PM. Neither ETF managed to make a move to the next level. The markets made very deep pullbacks…

IDMM -ETF Results October 19, 2010

Posted on October 20, 2020

All three market-based ETFs (SPY, QQQ, DIA) reach the MS1 level down in the first hour of trading. These ETFs continued lower and close below the MS3 Level Down during Monday’s trading…

ETFs Reach MS1

Posted on September 18, 2020

Are you looking for an EDGE?

Posted on August 22, 2020

The Intra-Day Momentum Method is a model for determining the intra-day market direction. The model was developed to find historically significant levels across a large number of stocks. The model was applied…

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

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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.

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