Method Detail

I have a computer assisted routine that looks at price trends, mainly for the first three place getters. It analyses price fluctuations from 30 minutes before start time up unto they jump.

I have identified about 3 trends in my search list that consistently provide a strong return on investment.

I use computer software that analyses live horse racing data from the Betfair site that I bet with, and it honks at me when the price fluctuation trend for the race is within a certain tolerance level of one of the 3 winning trends in my search list.

I had a programmer develop software so that when a price fluctuation trend is identified as being in close proximity of one of the search list trends it fills the online betting slip within BetFair. I only have to review it and submit.

The analysis function of the software always has a pipeline of promising new trends. As I write, there are 5 trends that are forming. I normally wait until I receive at least 3 months of consistent returns (without wagering) before adding the trend to the search list.

Typically 1 new trend is adopted every 6 - 12 months. So far I have only dropped two trends from my search list. They both did well for about 6 - 9 months but then started to lose more than they won. I continue to monitor these under-performing trends and am starting to notice a pattern emerging for one of them that correlates to the race seasons. A few possible explanations for this change in performance may be the different behaviour of punters for 'big racing carnivals' or that serious punters do not participate as strongly during certain racing seasons impacting the fluctuation patterns. Whatever the reason, as long as I monitor the trends' performance I am guaranteed not to stay on a sinking ship if it turns bad.

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