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Searching for High Probability Intra-Day Methods

To find a Higher Probability scenario for the original Intra-Day Momentum Method levels, I made a few observations. I ask a few questions. I want to know, what percentage of the time did the market close above the ML1 if the midpoint from the Open to MS1 had not been reached.

Then answer to this question are in the following image. These results are from applying The Intra-Day Momentum Method to over 400 stocks in the S & P 500 since April 2015.

The problem with this approach is that we are looking back. Because all intra-day reversals will meet this criteria. Also, we have no knowledge which level was met first. Meaning that it is quite possible that the ML1 level was reached before the midpoint to the downside. However, we are just looking for ideas to increase the success of the levels.

Conclusion

My research shows that as long as the midpoint from the Open to the MS1 was not reached, the stock closed above the ML1 over 60% of the time. It also had an increased probability of reaching the ML2 level. As well as the ML3 level.

We will continue this with the same calculation, when the MS1 is reached.

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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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