Some years ago when I was playing blackjack then I started to use the blackjack count analyser by Stanford Wong to analyse my game. This was my first venture into using software to improve my performance which later turned into me using Shuffle Trak and then in online poker, things like PokerTracker, SNGWIZ, PokerStove etc. So I have had a long history of using artificial intelligence to enhance my game and performance.
One of the key areas of blackjack is in analysing playing strategy and entry points and how that affects your earn rate. For example you do not automatically need to come in immediately when the deck turns into an advantage for the player. Very tiny advantages can be offset with playing errors and other types of error and you can often have situations that drift constantly from positive to negative and back again.
So in these situations then you cannot be upping your bet all the time and then decreasing it. Also the really tiny advantages affect your variance as well as you are basically increasing your turnover with almost no edge. The count per deck or true count needs to be +1 before the player is breaking even with the house and +2 for the player to have a roughly 0.5% advantage. But I have known many counters who did not come in at this point and waited until +3. The point behind this is that you lose an awful lot of tiny +2 edges and these are by far the most common. The optimal way forward is to try and inject as much camouflage as possible during +2 stages and be as accurate as possible and also to be properly bankrolled for the wider swings that you will incur.
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