927

i know its more a math question, maybe out mql forum range but let me ask, if i have

a system with, let's say, 80% accuracy, what's the probability  of miss 2 times in sequence?

thanks

9264

mrluck1:

i know its more a math question, maybe out mql forum range but let me ask, if i have

a system with, let's say, 80% accuracy, what's the probability  of miss 2 times in sequence?

thanks

20/100 * 20/100  =  1/5 * 1/5 =  1/25 = 0.04 = 4% chance

927

it's considering last month, i know there are bad spread conditions sometimes, but my question was really not considering them, just the probability of 2 consecutive losses  with 80% winning average , but thas was already solved above by James , anyway thank you for your answer

5516

you can lose 2 trades first then win 8

maybe that 2 trades is enough to burst the account? (you did not specify risk reward)

927

If a trader has 80% win rate, with expected gain 100% leveraged for each trade,  lose 1 trade is  ok, on 20% chance,  but 2 would be really against the odds, only 4%,

as james stated on his equation,so you just need to allways trade 50%, expecting 100% from this 50%, and if you get a loss, you trade the 50% and get a

full recover to next winning trades, so you are in a win win situation, right, because only 4% chance of repeated loss is very rare

26490

The formula is Bernoulli trial. That is probability to get success (known to have probability p) k times from n independent trials is:

P(k,n) = Cn(k) * pow(p, k) * pow( (1 - p), (n - k))

where Cn(k) is Binomial coefficient - n! / (k! (n - k)!), where ! is factorial.

For the trivial case of taking k = 2 times from n = 2 trials, you'll get:

P(2,2) = p * p = 0.8 * 0.8 = 0.64

to get 2 wins in a row. And 0.2 * 0.2 = 0.04 to have 2 losses in a row, but all this seems too artificial (unreal) because the sequence is most likely consisting of larger number of trades, so the extended formula should be used.

Bernoulli trial - Wikipedia
• en.wikipedia.org
Graphs of probability P of not observing independent events each of probability p after n Bernoulli trials vs n p for various p. 3 examples are shown: Blue arrow: Throwing a 6-sided dice 6 times gives 33.5% chance that 6 (or any other given number) never turns up; it can be observed that as n increases, the probability of a 1/n-chance event...
17914

 Stanislav Korotky: to get 2 wins in a row. So the probability to have 2 losses in a row is 1 - 0.64 = 0.36. 36% is the probability that you get one win/one loss or one loss/one win or two losses.
26490

whroeder1:
 36% is the probability that you get one win/one loss or one loss/one win or two losses.

I've edited my post.

BTW, why do you break formatting in your answers on the forum so, that citation with a question and your reply are located side by side in a single paragraph?

927

it's 36% or 4% the probability  of 2 consecutive losses?

and if its 36% of two losses, how is that? because its more than 20% initial missing margin for every trade.

27

mrluck1:

it's 36% or 4% the probability  of 2 consecutive losses?

and if its 36% of two losses, how is that? because its more than 20% initial missing margin for every trade.

a trader doesn't need that baloney, probability analysis is purely theoretical.

http://www.mathgoodies.com/lessons/vol6/dependent_events.html

http://www.mathgoodies.com/lessons/vol6/independent_events.html

that will give you a start.

this is what will make or lose you money:

x = wins, y = losses, z  = total trades, n = a decimal-----(x + y)/ z = n, then n * 100 =  p/l  as a %. higher the % = more \$\$\$\$\$. K.I.S.S., you can do that on a simple spreadsheet and update in real time. don't follow Bernoulli down a rabbit hole.

Tom

17914

crazydad: a trader doesn't need that baloney, probability analysis is purely theoretical.

I'll disagree with that. The OP's question relates to how much he can risk (even if he didn't state it.) What he doesn't understand is that the problem is combinatorial in nature.

For the next two trials 4%. For three trials it doubles because there are two chances.  For 10 trades, one could have 2 consecutive losses on trade#1&2, #2&3, #3&4, 4&5, 5&6, 6&7, 7&8, 8&9, or #9&10. Nine different ways essentially. The probability of 2 consecutive losses in 10 trades (0.20^2)*9 or 36% In 25 trades you will almost certainly have 2 in a row.

The probably of 4 consecutive losses in 100 trades is (0.20^4)*(100-9+1) 16%

It's not theoretical, it's fact, and is the nature of drawdown. That is why you can't trade more than a small percent per trade. Risk 5% you will have 20% DD every 100 trades.

 Consecutive losses 2 3 4 5 6 7 8 no trials 2 4.00% 3 8.00% 0.80% 20.00% 4 12.00% 1.60% 0.16% 5 16.00% 2.40% 0.32% 0.03% 10 36.00% 6.40% 1.12% 0.19% 0.03% 0.01% 0.00% 25 96.00% 18.40% 3.52% 0.67% 0.13% 0.02% 0.00% 100 396.00% 78.40% 15.52% 3.07% 0.61% 0.12% 0.02% 500 1996.00% 398.40% 79.52% 15.87% 3.17% 0.63% 0.13% 1000 3996.00% 798.40% 159.52% 31.87% 6.37% 1.27% 0.25%