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Old 07-26-2017, 01:16 PM   #13
ReplayRandall
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Join Date: Apr 2014
Posts: 10,614
Quote:
Originally Posted by DeltaLover View Post
What you are saying here is correct although I have the following questions:

- Why is not possible to create "contrarian concepts" ( I like the term!) based on the existing data? After all these are the data that dictate the formation of the pools and they must be responsible for the existence of betting inefficiencies.

- What is the source of the (potentially unstructured) data to use? Are they the product of web search (including social data like twiter of fb for example) or they require custom collection meaning dedicated on site observers?
Here's an example of using big data sets at a slightly losing ROI of 93-95%. If this specific data set has consistently shown these numbers for the last 3 years, I look to see how they are doing after 100 plays. If they are severely under-performing, say at a 60% rate of return, I will have the confidence based on the data to bet these specific sets HARD, until they return close to their mean performance, like an under-valued stock that has a great balance sheet, good fundamentals, product line, but for some unknown reason has fallen out of favor with the market crowd......A contrarian concept using data which most operators throw away for lack of a +ROI, but is consistent at 93-95% as they come...$$$
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