hi everyone, i am encountering a strange problem when I ran simulations using CV Data yesterday, and am wondering whether anyone else has encountered this. My gut feeling is that this relates to my defined multi-hand betting strategy (the simulations seem to work fine for single-hand betting stratgies).
I run the simulation and then look at the 'True Count distribution' table and/or the 'True Count Won/Lost' table. The data is broken down into rows by true count. This is all looking good except that there is a signficant amount of data for 'TC <- -39' - meaning situations where the True Count is -39 or lower. This must of course be incorrect. The bell-shaped true count distribution on my tables seem to range between -16 and +20. The tables are saying that 24.3 million out of the 230 million hands occurred at true count of -39 or lower. Additionally, this row of data contributes a good 25% of the 'Dollars/Hour Win rate'.
I am reluctant to use this data for decision-making because i don't know understand what has gone on here.
Can anyone shed light on this situation?
I run the simulation and then look at the 'True Count distribution' table and/or the 'True Count Won/Lost' table. The data is broken down into rows by true count. This is all looking good except that there is a signficant amount of data for 'TC <- -39' - meaning situations where the True Count is -39 or lower. This must of course be incorrect. The bell-shaped true count distribution on my tables seem to range between -16 and +20. The tables are saying that 24.3 million out of the 230 million hands occurred at true count of -39 or lower. Additionally, this row of data contributes a good 25% of the 'Dollars/Hour Win rate'.
I am reluctant to use this data for decision-making because i don't know understand what has gone on here.
Can anyone shed light on this situation?