I used python to program a basic martingale strategy of a popular Roobet dice game (online casino). The program uses a basic random number generator and a starting capital of $10 over 2000 trials. It’s interesting to see how some attempts are lucky and grow linearly, while some fizzle out due to bad luck streaks.
Did you set any maximum bet size?
What was the dice game/odds? I thought the Martingale strategy simulations always go to 0 eventually, when you lose enough times in a row. Though I guess 2000 iterations isn’t enough simulated rounds for this to happen?
I think this might be a particularly lucky set of trials. I mean, from the looks of it, you’re guaranteed to 10x your money. A decent # of traces should end up being unprofitable from the start I would think?
Unless I completely misunderstood what you told us, there is a problem with your simulation. First thing that got me to be skeptical is they never go broke, which I would have expected for some trials.
But what confirms it is you say they have 0.01$ bet (again unless I misunderstand this part). You have 2000 trials. So if you win every time, you have at the end won 2000*0.01=20$. Yet in one simulation they get to almost 800$.
Your simulation is wrong. Sometimes you are near zero. How you restore so fast? With martingale.you have 50% chance to double your money. 10% to do X10 and 1%.to do x100.
You may share your source code, and I will help you to find the error
And you, young Martingale; we shall watch your career on r/wallstreetbets with great interest.
This data is not beautiful, accurate, or insightful.
Congratulations, it’s a dataisbeautiful trifecta!
Ran so many of these.. Alwys crashed in the end.
Lol if it’s an online casino you’ll eventually get a situation where you roll under 50 thirty times in a row or something. They’re rigged and unless you’re aiming to get something on the rake back, I wouldn’t bother.
2,000 trials at $0.01 base means the max win is $20.
![[OC] Martingale Strategy Simulation](https://www.europesays.com/wp-content/uploads/2024/09/ksdyw9p47epd1-1916x1024.png)
11 comments
I used python to program a basic martingale strategy of a popular Roobet dice game (online casino). The program uses a basic random number generator and a starting capital of $10 over 2000 trials. It’s interesting to see how some attempts are lucky and grow linearly, while some fizzle out due to bad luck streaks.
Did you set any maximum bet size?
What was the dice game/odds? I thought the Martingale strategy simulations always go to 0 eventually, when you lose enough times in a row. Though I guess 2000 iterations isn’t enough simulated rounds for this to happen?
I think this might be a particularly lucky set of trials. I mean, from the looks of it, you’re guaranteed to 10x your money. A decent # of traces should end up being unprofitable from the start I would think?
Unless I completely misunderstood what you told us, there is a problem with your simulation. First thing that got me to be skeptical is they never go broke, which I would have expected for some trials.
But what confirms it is you say they have 0.01$ bet (again unless I misunderstand this part). You have 2000 trials. So if you win every time, you have at the end won 2000*0.01=20$. Yet in one simulation they get to almost 800$.
Your simulation is wrong. Sometimes you are near zero. How you restore so fast? With martingale.you have 50% chance to double your money. 10% to do X10 and 1%.to do x100.
You may share your source code, and I will help you to find the error
And you, young Martingale; we shall watch your career on r/wallstreetbets with great interest.
This data is not beautiful, accurate, or insightful.
Congratulations, it’s a dataisbeautiful trifecta!
Ran so many of these.. Alwys crashed in the end.
Lol if it’s an online casino you’ll eventually get a situation where you roll under 50 thirty times in a row or something. They’re rigged and unless you’re aiming to get something on the rake back, I wouldn’t bother.
2,000 trials at $0.01 base means the max win is $20.
You messed up somewhere.