Did you ever watch the Indiana Jones movies?
I love them!
In fact, I have a game on the PS4 (yes I still play computer games when I have a moment) which is all about hunting for hidden treasure.
It’s pretty complex and involves a lot of puzzle solving.
Kinda like horse racing 🙂
And the best computer to solve puzzles is… our brain.
Now I’m a big fan of using computers to do a lot of number crunching for us. Heck, I’ve built all sorts of algorithms and factors to do it.
But my goal is always to reduce the number of horses in a race, to just a few that show the strongest possible chance of being contenders.
So what I am doing, is making a strategy!
I’m creating a piece of software that will analyse a load of data and then tell me…
* This is how to reduce the field
* These are the worst horses
* These are the strongest horses
Then I take the strongest horses and, using the most powerful computers on the planet, our brains, make a decision about which we should bet on.
When you use a strategy based process, you’ll find that you:
1. Get a higher strike rate
2. Get a higher return on investment
3. Get smaller downswings
4. Get a bigger edge on the market
5. Do not have your edge eroded by other bettors with the same strategy
The downsides are…
1. It takes more time
That’s five positives to one negative. A pretty darn good ratio.
The time taken is in learning the process. Initially, it takes some time to understand the strategy, then it may take you as long as fifteen or twenty minutes to analyse a race.
But the more races you do, the quicker you’ll get.
Within a few weeks, you’ll be analysing races in just five or ten minutes, but you’ve got to put a bit of work in up front.
Heck, anything worth doing requires a bit of work upfront.
So that’s why I prefer strategies to systems, and it’s why, on the Race Advisor, we focus on them.
All the best,
Michael and the Race Advisor team