Algorithms action
Our algos move around two distinct probabilities:
a) what should happen on average and by which more likely ranges;
b) what is really happening at the actual shoe dealt.
If all of the time a>b, well the game wouldn't exist and if b>a it wouldn't be offered either.
Thus per every shoe dealt we have to approximate the different weight of such distinct factors and, no surprise, most of the times a=b or close to it.
Obviously the a=b scenarios are the best to look for and will correspond to an "average card distribution", the main parameter algos aim at.
Algos won't look for strong deviations at either positive or negative side of the operation, they prefer a more likely steady flow of the outcomes, albeit limited at different (so less easily detectable) rhythms of classification.
Yes, card distributions are considered undetectable, everything happens anytime and anywhere but always by a specific level of probability.
And as long as shoes (and cards) are dealt, such probability values will converge more and more to the a) point.
Shoe card distribution
Besides of the important specific shuffle production factor slightly affecting the 'average card distribution' I do not want to discuss here, each shoe dealt will follow or not certain "more likely" "back-to-back" patterns getting different but limited values.
Technically some "random walks" (that is two opposite fighting scenarios) are more limited in their apparition than what a binomial or slight asymmetrical bac model dictates.
That's where algos' edge comes from.
Remember that while playing a binomial game (even if taxed) streaks of something are the real enemy to get rid of.
Obviously no specific streaks classes are chasable better than others even though and generally speaking shorter streaks are more likely to form clustered patterns than isolated patterns.
Especially whether we take into account two or more streaks classes.
But symplifing a lot, the best empirical factor to get an advantage from is that a 'more likely' streak not happening so far shouldn't be included in our betting operation. Regardless of its general propensity to show up.
That means that providing a proper results registration, streaks of low lenght actually happened and coupled together will get very low variance values.
Naturally along the shoe's course things change, meaning that quite often a long streak will erase a previous streak classes flow.
More later
as.
Our algos move around two distinct probabilities:
a) what should happen on average and by which more likely ranges;
b) what is really happening at the actual shoe dealt.
If all of the time a>b, well the game wouldn't exist and if b>a it wouldn't be offered either.
Thus per every shoe dealt we have to approximate the different weight of such distinct factors and, no surprise, most of the times a=b or close to it.
Obviously the a=b scenarios are the best to look for and will correspond to an "average card distribution", the main parameter algos aim at.
Algos won't look for strong deviations at either positive or negative side of the operation, they prefer a more likely steady flow of the outcomes, albeit limited at different (so less easily detectable) rhythms of classification.
Yes, card distributions are considered undetectable, everything happens anytime and anywhere but always by a specific level of probability.
And as long as shoes (and cards) are dealt, such probability values will converge more and more to the a) point.
Shoe card distribution
Besides of the important specific shuffle production factor slightly affecting the 'average card distribution' I do not want to discuss here, each shoe dealt will follow or not certain "more likely" "back-to-back" patterns getting different but limited values.
Technically some "random walks" (that is two opposite fighting scenarios) are more limited in their apparition than what a binomial or slight asymmetrical bac model dictates.
That's where algos' edge comes from.
Remember that while playing a binomial game (even if taxed) streaks of something are the real enemy to get rid of.
Obviously no specific streaks classes are chasable better than others even though and generally speaking shorter streaks are more likely to form clustered patterns than isolated patterns.
Especially whether we take into account two or more streaks classes.
But symplifing a lot, the best empirical factor to get an advantage from is that a 'more likely' streak not happening so far shouldn't be included in our betting operation. Regardless of its general propensity to show up.
That means that providing a proper results registration, streaks of low lenght actually happened and coupled together will get very low variance values.
Naturally along the shoe's course things change, meaning that quite often a long streak will erase a previous streak classes flow.
More later
as.