Created
November 26, 2015 11:45
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martingale <- function(max_round = 1000, init_token = 100, bid = 1, | |
rouletee_prob = c(19/37, 18/37)) { | |
## max_round: number of bidding | |
## init_token: initial # of chip | |
## bid: bidding chip when winning | |
## rouletee_prob: c(win, lose) | |
if (sum(rouletee_prob) != 1) stop("sum of 'rouletee_prob' must be 1") | |
capital = init_token ## current # of chip | |
PL <- 0 # the profit vector of the game | |
i=1 | |
while (capital >= bid && i <= max_round) { # the requirement of bidding on the table | |
rout = sample(0:1, size = 1, prob = rouletee_prob, replace = T) # rouletee simulation | |
if(rout == 1) { | |
PL[i] = bid ## win "bid" chips | |
bid = 1 # bidding 1 chip in the next game | |
} else { | |
PL[i] = -bid # lossing "bid" chips | |
bid=bid*2 # double bid | |
} | |
capital = capital + PL[i] ## the capital | |
i=i+1 | |
} | |
init_token + cumsum(PL) | |
} | |
## Plot | |
plot(martingale(), | |
lwd=3,font=2, | |
type="l", col="red", | |
xlab="The # of Bidding", | |
ylab="Cumulative Chips", | |
main="Martingale") | |
abline(h=init_token,col="green",lwd=2) | |
## Simulation | |
survival_round <- integer(10000) | |
final_token <- integer(10000) | |
for (i in 1:10000) { | |
mar_result <- martingale(max_round = 80, init_token = 10) | |
survival_round[i] <- length(mar_result) | |
final_token[i] <- tail(mar_result, n=1) | |
} | |
hist(survival_round, breaks=100) | |
hist(final_token, breaks=100) | |
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