{"id":1032,"date":"2021-06-18T16:43:11","date_gmt":"2021-06-18T16:43:11","guid":{"rendered":"https:\/\/www.qatsystems.com\/analytics\/?page_id=1032"},"modified":"2021-06-18T17:14:51","modified_gmt":"2021-06-18T17:14:51","slug":"determining-the-daily-high-low-with-the-intra-day-momentum-method","status":"publish","type":"page","link":"https:\/\/www.qatsystems.com\/analytics\/determining-the-daily-high-low-with-the-intra-day-momentum-method\/","title":{"rendered":"Determining the Daily High\/Low with The Intra-Day Momentum Method"},"content":{"rendered":"\n

The Intra-Day Momentum Method Levels are designed to determine the daily intra-day market direction. The results shown here are presented to demonstrate the model. When applied to over 400 stocks in the S & P 500 from April 2015 through October 2020, we see the following results. The graph below shows the High and Low of the day in relation to The Intra-Day Momentum Levels for this period of time. It demonstrates that the market has a specific price range in which it is most likely to trade.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The IDMM Level extends in both directions from the Open. The MS1 and ML1 have demonstrated to be the High or Low of the day about 1% of the time.<\/p>\n\n\n\n

Probabilistically Predicting High\/Low of the Day<\/h2>\n\n\n\n

We can to some degree calculate where the expected High or Low of the day may occur. I will describe how we will probabilistically predict the High or Low of the day using all data collected. In future articles, I will go further into detail on how we will optimize this using patterns and other forms of analysis.<\/p>\n\n\n\n

Of all the data collected, 96% would not have needed an ML4 level to capture the High of the day. Of all data collected, 95% would not have needed an MS4 level to capture the Low of the day. Using this information, we can probabilistically predict that with 96% certainty that the High of the day will come below an ML4 Level. We can also predict that 95% of the time, the Low of the day will be above the MS4 Level.<\/p>\n\n\n\n

We can also predict that 88% of the time, the High of the day will come below the ML3 Level. The Low of the day will be above the MS3 Level 86% of the time.<\/p>\n\n\n\n

We can also determine that 63% of the time the High of the day will be below the ML2 Level. The Low of the day will be above the MS2 Level 61% of the time.<\/p>\n\n\n\n

In Cases Where an Intra-Day Reversal was not Present<\/h2>\n\n\n\n

If a stock does not become an Intra-Day Reversal, historically the High of the day has been below the ML2 Level 57% of the time. If a stock was not an Intra-Day Reversal, the Low of the day was above the MS2 Level 54% of the time.<\/p>\n\n\n\n

When a stock did not become an Intra-Day Reversal the High of the day was below the ML3 Level 85% of the time. When a stock did not become an Intra-Day Reversal the Low of the day was above the MS3 Level 82% of the time.<\/p>\n\n\n\n

While we did not see a reason to calculate the fourth level. We find that 95% of the time if a stock was not an Intra-Day Reversal, the High of the day was below the ML4 Level. The Low of the day was above the ML4 92% of the time if a stock was not an Intra-Day Reversal.<\/p>\n\n\n\n

Our goal is to increase the probabilities of your trading success. We are working diligently to improve these statistics. We are only just beginning, more exciting statistics coming soon!<\/p>\n","protected":false},"excerpt":{"rendered":"

The Intra-Day Momentum Method Levels are designed to determine the daily intra-day market direction. The results shown here are presented to demonstrate the model. When applied to over 400 stocks in the…<\/p>\n","protected":false},"author":2,"featured_media":1011,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1032","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/pages\/1032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/comments?post=1032"}],"version-history":[{"count":3,"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/pages\/1032\/revisions"}],"predecessor-version":[{"id":1035,"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/pages\/1032\/revisions\/1035"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/media\/1011"}],"wp:attachment":[{"href":"https:\/\/www.qatsystems.com\/analytics\/wp-json\/wp\/v2\/media?parent=1032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}