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This is the output if there is an valid selectionId passed. As can be seen there is now information connected to the selectionId used.
It shows the Price that it was last traded at on the Betfair Exchange along with the prices that it can be backed at and the price that it can be layed against it.
I will not get into what a lay bet is and for this example will only be looking at the first price available to back. Now that the basics have been covered on how to get the Races in a 24 hour period, the horses running in the races and the odds a specific horse.
The function that will be created will calculate the average of each horses form in each race. It will then determine which horse has the best average form and it will be added to a dataframe alongside the odds for the selected horse, race, and the name of the horse.
A horses form is made up of the positions that it has placed in its last 6 races. To combat this, you can weight these codes with whatever value you think is reasonable, which I have done below.
This function is also intended to be the only thing need to be run that is why I have added the first part about getting the SSOID.
The first part of the function is the declaration of variables and lists that will be used within the function, along with the creation of the pandas dataframe.
It is at this point where the form is averaged out, as can be seen this is a bit messy and requires some clean-up but for the time being it operates as required.
As can be seen the averaged number is added to a list. This list is then iterated through and checked against the lowest average that was set to at the beginning.
If the average at the current list location is less than the lowest average, then the new average is set as the new lowest average and the name of the horse and selectionId are appended to a list.
Once the list has been iterated through, the odds of the horse with the best average is collected by using the method shown above.
The values are then added into the dataframe. The reason for using horsename[-1] and selectionID[-1] is because the last item in the list is needed.
And there you have it. A basic guide through the somewhat confusing Betfair API. Now, there is many more ways to use the Betfair API and I have only scratched the surface of the possibilities that can come from this.
Like anything that has to do with predicting the outcomes of races or matches take it with a grain of salt and use it in conjunction with whatever other information you would be usually look at when deciding on which bet to place.
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Make learning your daily ritual. Take a look. Build web-applications! Enable Betfair Exchange betting on your website. Create automated betting systems or custom interfaces with the Exchange API.
Read market data, place bets, check current bet details and more. Integrate with the Betfair Exchange Games system - from creating a new client front-end system to an automated betting application.
The Exchange API is the platform on which developers build customised betting tools and interfaces to use with the Betfair Sports Exchange.
To place an order we use the placeOrders operation. A handy component of placeOrders is that you can send your strategy along with the runner that you want to back, so it is extremely easy to analyse how your strategy performed later.
Note that if you are placing a limit order you must specify a price which is allowed by Betfair. For example, the price 6.
You can read about tick points here. Now that we've placed the other, we can check if the order placing was a success and if any has been matched.
Let's now look at our current orders. To get our current orders, we need to use the listCurrentOrders operation.
We can then use either the bet id, the market id, or the bet strategy to filter our orders. Let's now cancel this bet.
To do this, we will use the cancelOrders operation. If you pass in a market ID it will cancel all orders for that specific market ID, like you can do on the website.
If we want to go back and look at past orders we have made, there are two main operations for this:. Let's now use both Sports API operations based on our previous orders and then compare it to the getAccountStatement operation.
Note that we can also filter for certain dates, bet ids, event ids, selection ids etc. We can also group by the event type, the event, the market, the runner, the side, the bet and the strategy, which is extremely useful if you're looking for a quick summary of how your strategy is performing.
Now let's find the Profit and Loss for the market. To do this we will use the listMarketProfitAndLoss operation.From laptops to datacenters, game Metzelder Neuigkeiten to scientific supercomputers, cell phones to the Internet, Java is everywhere! However the market is generally up for about a minute after the race, so if your Krombacher Pils Roulette is automated, you can check once if your bet is settled and if it is, hit the getMarketProfitAndLoss endpoint. Note that if you are placing a limit order you must specify a price which is allowed by Betfair.