Labouchere System for Gambling Tested

import random
import time
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import style

style.use("ggplot")

broke_count = 0

totalFunded = 0
totalEnding = 0

wins = 0
losses = 0

def Labouchere():
    global broke_count
    global totalFunded
    global totalEnding
    global wins
    global losses

    
    starting_funds = 100

    totalFunded += starting_funds

    
    goal = 10
    system = [1,1,1,1,1,1,1,1,1,1]
    #system = [1,2,2,3,2]

    profit = 0

    current_funds = starting_funds

    wagerSizes = []
    plot_funds = []

    not_broke = True

    wins = 0
    losses = 0

    while profit < goal and not_broke:
        if len(system) > 1:
            size = system[0]+system[-1]
            wagerSizes.append(size)
            plot_funds.append(current_funds)

        else:
            size = system[0]
            wagerSizes.append(size)
            plot_funds.append(current_funds)


        if current_funds <= 0:
            not_broke = False
            broke_count += 1
            losses += 1

        elif current_funds - size <= 0:
            size = current_funds
            not_broke = False
            broke_count += 1

        dice = random.randrange(1,101)

        if dice < 51:
            losses += 1
            system.append(size)
            current_funds -= size
            profit = current_funds - starting_funds

        else:
            wins += 1
            current_funds += size
            profit = current_funds - starting_funds

            if profit != goal:
                try:
                    del system[0]
                    del system[-1]
                except:
                    pass

    wagerSizes.append(size)
    plot_funds.append(current_funds)

    totalEnding += current_funds

    s1.plot(wagerSizes)
    s2.plot(plot_funds)

    


f = plt.figure()
s1 = f.add_subplot(211)
s2 = f.add_subplot(212)

sample_size = 10000

for x in range(sample_size):
    Labouchere()

#print("Winners:",wins,"losers:",losses)
print(totalFunded, totalEnding)
print("Broke Percentage:", ((float(broke_count)/sample_size))*100.0)

plt.show()

		

Outcome:

1000000 1000456
Broke Percentage: 10.41
	  

That's all for this tutorial series. For more Python tutorials, head to the Home Page