Here’s a basic file that will identify where you have an unmatched bet on the ladder.
Once the file spots a unmatched bet on a selection, it will scan the ladder for the Price.
Back and LAY bets are independent.
The scan simply +-1 from the current back/lay price every refresh until the price matches the price of an unmatched bet.
A more complex version would look at more prices per refresh but I can be arsed with that right now.
If an unmatched bet is found the file will then store a value called (FOUND_BACK _BET) or (FOUND_LAY _BET). That value will be the price of an unmatched bet.
This SV can then be used to work out how much money you have sitting at the price.
03/10/2023 13:08:53: [G_Auto 5] : Store Value (Shared) for Birmingham: FOUND_LAY _BET = 2.3
03/10/2023 13:08:53: [G_Auto 5] : Store Value (Shared) for Huddersfield: FOUND_LAY _BET = 3.3
03/10/2023 13:08:54: [G_Auto 5] : Store Value (Shared) for The Draw: FOUND_LAY _BET = 3.25
03/10/2023 13:08:54: [G_Auto 5] : Store Value (Shared) for Birmingham: FOUND_BACK _BET = 2.46
03/10/2023 13:08:54: [G_Auto 5] : Store Value (Shared) for Huddersfield: FOUND_BACK _BET = 3.75
03/10/2023 13:08:54: [G_Auto 5] : Store Value (Shared) for The Draw: FOUND_BACK _BET = 3.75
Guardian will need to be refreshing the markets you wish to scan.
Identify the price of a unmatched bet on the ladder (FILE)
This file was really just proof of concept as a few people had been asking for how to do it.
As it stands it will only get the info of the first bet that it finds during scanning.
The file could be adapted to find the average but that’s going to require a bit time than I have at the mo. To make it 100% efficient is going to take a lot of rules, as it would need to look at every price in the ladder.
As it stands it will only get the info of the first bet that it finds during scanning.
The file could be adapted to find the average but that’s going to require a bit time than I have at the mo. To make it 100% efficient is going to take a lot of rules, as it would need to look at every price in the ladder.