Risk to ruin?

Generic
1 
Ruin : r
Success: m
Kelly Factor: k 

def gambler_ruin(r, m, p):
    if r == 0:
        return 1
    if m == 0:
        return 0
    else:
        return p*gambler_ruin(r-1, m, p) + (1-p)*gambler_ruin(r, m-1, p)

Does this look good? Its a risk to ruin method I found online. Do you have any material on this? Risk to ruin* 



def gambler_ruin(r, m, p):

    return (1-r**(1-2/p))/(m**(1-2/p)-r**(1-2/p))



They look good but they give me wild values instead of 1-100 or 0-.99 Both methods give me negative numbers at times.

 

2

Hi Jane,



You might find this learning track helpful.



Thanks,

Rushda

3

Do these courses cover that (Risk to Ruin using Monte Carlo Simulation)?

4

Thank you,

Namaste.

5

No, unfortunately our courses don't cover what you're looking for.



Thanks

6

Ok thanks for the response, I appreciate it. But it would be an amazing addition to the curriculum. 





Please truly consider it,



Much thanks as always.