Statistical technical sports analysis
- Durum: Closed
- Ödül: $151
- Alınan Girdiler: 17
- Kazanan: Collie33
I am trying to develop a technical analysis system involving a graphical display format, which includes such analytical tool variables such as a trend-line, support and resistance lines etc. The sample of data I have given, is related to sporting odd values.
Firstly the prime purpose of this task, is to help me identify the trend-line in a sports betting graph, as the odds go up and down, if a graphical technical analysis could be developed in such a way, that it would be possible to plot a line from one peak to another as a simple and fast method of prediction of whether or not the individual trusts this specific bet. This trend-line should be able to allow me to predict forthcoming odds movements, even before the sporting event result is decided.
Please see latest sample attached which shows those bets that were successful (column A) and the relevant odds which were between 1.8 and 2.2 (column B). There are 761 bets with 368 of them winning. That's an average strike rate of 48% with an average price of 2.00.
In addition the technical analysis, would be developed in a way, that allows a phase called ‘consolidation’ to be identified. In this particular phase, the technical analysis system should allow parallel lines to be created, in which it moves sideways without any sign of a climb or descent, allowing me to identify when the market is getting prepared for the next trend. Therefore helping to identify other variables that I would also like to be included in the technical analysis system i.e. support and resistance levels.
I am willing to pay a bonus for a proven formula. I will gauge your formula myself by applying your analysis onto other data that I hold.
If I feel I can establish a good working relationship with somebody I'd be keen to provide further snippets of data that would need cross referenced with the initial set to help indicate stronger betting signals. Again, a bonus may be available if the cross referencing of multiple data subsets are proving to provide stronger signals and these hold firm when I apply to other data not supplied to you.