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		<title>What about tweaking parameters?</title>
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		<description>hypersoniq's Blog: What about tweaking parameters?</description>
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			<title>Original Blog Entry: What about tweaking parameters?</title>
			<link>/blogentry/189412</link>
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			<pubDate>Wed, 12 Feb 2025 19:07:32 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>I am considering a python script for the pick 3 type games that can take variable parameter input to adjust the settings.<br /><br />Something like a scan of X number of draws to determine hot, neutral and cold, and then look out Y future draws to determine the composition from the hot/neutral/cold group.<br /><br />Such that running the formula<br /><br />displayComposition(30,10)<br /><br />Would take the last X+Y draws (in this case 40), grab the frequency distribution of the X (30) draws, split them into hot/neutral/cold, then display the next Y draws (in this case 10) with a composition such as HNH or CCN, to help determine the composition of hot, neutral and cold numbers that were drawn.<br /><br />The point of the variables is simple, I don&#x27;t know the ideal number of draws to do a recent history on, so this allows for some experimentation.<br /><br />Because it will be modular, it will be able to be called several times in one run with different parameters, such as<br /><br />displayComposition(30,10)<br /><br />displayComposition(250,20)<br /><br />displayComposition(1000,7)<br /><br />Since the composition would change with each change in X, we would be searching for some general guideline in the Y output, such as a higher amount of HNN draws when using X history...<br /><br />I can do a great number of tasks with Python, but I am still sure I am not asking the right questions... after over 20 years of ideas, mostly in excel, I am losing motivation. Therefore I need some different avenues to explore, and one which I have neglected is the analysis of shorter term trends. Everything up to now has been done with entire game histories.<br /><br />So a grouping of the top 3 hot, the middle 4 neutral and the last 3 cold seems like a fair split.<br /><br />Output looking like<br /><br />H1 = 7<br /><br />H2 = 4<br /><br />H3 = 2<br /><br />N1 = 6<br /><br />...<br /><br />C3 =1<br /><br />Would be the result of the analysis, and the output of the Y draws would look like<br /><br />761 - H1, N1, C3<br /><br />...<br /><br />442 - H2, H2, H3<br /><br />The generalization, which group it comes from, such as H, can be further refined with the digit that represents WHICH H it was, such as H1 being the hottest of the hots and C3 being the coldest of the colds.<br /><br />Being able to change the number of draws out with Y can help to determine just how long the trends can extend, and also open the door to a sliding back test by partitioning the history into chunks of size X+Y.<br /><br />There are still plenty of unknowns such as optimal values for X and Y, but it seems like a fitting start to begin short term trend analysis.... &#x5b;&#xa0;<a href="/blogentry/189412">More</a>&#xa0;&#x5d;</p>]]></description>
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