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Jul 9, 2014 -- 11:58AM, Facts wrote:
Vikas 09 Jul 14 17:49 Not sure if this is the right place for this topic or not but have to start from somewhere, What are chances that Machine Learning and Mathematical modelling can be used to predict starting prices of a horse in a race using past data available publicly?www.betegy.com and www.smartodds.co.uk do same for football! I somehow think Horse Racing seems more suited for ........... but starting prices seems to be always based on past performances and current conditionsObviously objective is to predict with enough accuracy that money can be made out of it, I know there are loads of tipsters but are there any companies working on something like this?All thoughts are welcome!Your statement in bold, would relate to sp forecast. Actual starting price is determined by weight of money. Hth
Hi Facts, Thanks for commenting, I agree mathematically SPs are decided by weight of money but volume of that money which is coming from different punters etc on different runners is again based on past performances and current conditions?
As far as SP forecast is concerned, they are just indicative and mostly real SPs are very out of the way.
Jul 9, 2014 -- 12:02PM, OliasOfSunhillow wrote:
I think this is an interesting topic. You could perhaps feed a set of best morning prices and SP's (although R'4 would need accounting for unless you simplifying by training only on races with no NR's) into a net along with a host of factors you feel may be relevant to price movement and then see what the NN could come up with. This would be a situation where an understanding of the masses as well as form factors would be useful.
Hi OliasOfSunhillow, Yes I also think morning prices or tissue prices + other form factors should show some patterns.
Jul 9, 2014 -- 12:22PM, Rider wrote:
predicting the market in the last 15 minutes is difficult, its about how the horses look, travel to post and the insider angle on what the jockeys orders are
True pawras, We all know various parameters and can probabaly identify steamers and drifters by spending hours every day and can also make money but is it possible to do this automaticaly using code or other mathematics like data/machine learning etc is what I am trying to figure out.
Jul 10, 2014 -- 11:21AM, pawras wrote:
the key thing is identifying a good criteria(s) as to why they're going shorten or drift.
So this can be done in 2 ways, One is build logic and test it on daily basis and fine tune it till it becomes good enough to be profitable OR get as much data as possible using betfair APIs, timeform APIs or racingpost, build own DB and feed it to ML algos and see if it can find some patterns.
I kind of think using ML will give some patterns that can help to build logic, as combination of both should have accurate prediction.
Jul 10, 2014 -- 5:47AM, Rider wrote:
weight of money as a reason for sps is a bit of an obvious statement, finding the reasons for the money is the objective, eg when a horse is heavily backed and then is seen in the race with an easy lead for the first time that is insider knowledge, it would be nice to think you could model these things but in reality you just dont know as an outsider, things that can be modelled will usually be factored in much earlier than the last 15 minutes
Rider, Do you mean money that comes in last 15 minutes may not have anything to do with form/current conditions and if I am sitting at home I will be at disadvantage as I will be an outsider? 90% of money comes in last 15-20 minutes so I was under the impression and serious money comes at that point and if we are betting on form then we should be profitable in long term, if there are people with insider's knowledge and betting on every race then long term nobody other then them will be profitable, I am thinking 3-5% of races may always have people with insider knowledge.