I'm a bit confused about this. I didn't know what this means and had to look it up.

Is '0.26 (99.98%)' as it's supposed to be? The percents seem to indicate that the 0.26 should actually be calculated as 1/n = 3.85?
Or have I misunderstood this completely? Has this been 'turned around' so that the smaller the number the better the expectancy?


I found this chart:

Z-Score & Confidence Limit (%)

3.00 / 99.73%
2.58 / 99.00%
2.33 / 98.00%
2.17 / 97.00%
2.05 / 96.00%
2.00 / 95.45%
1.96 / 95.00%
1.64 / 90.00%


EDIT: Seems that everyone has got a 99.98%?

I think it's this:

http://ltcconline.net/greenl/courses/201/probdist/zScore.htm

I don't know. I was reading it but got distracted by a beer. Now I can't concentrate....

Guys, I've just noticed this topic.

Here's an explanation we've posted in our blog:

The sign doesn’t make the z-score value any better or worse – what we’re looking to see is a z-score value greater than 1.96 or less than -1.96 (Equal to 95% probability or better).

While z-score tells us if the streak of losses/wins are random or not, the sign simply tells us if the dependence is positive or negative, meaning:

Z-Score negative – dependence is positive.
Z-Score positive – dependence is negative.

Positive dependence – a profit will be followed by a profit and a loss by a loss.
Negative dependence – a loss will be followed by a profit and a profit by a loss.

And how certain can we be that it will happen? This is the percentage that is shown to you in your system’s z-score value. So for example, if z-score = 2.17(97.0%), it means there is a 97% confidence level that a loss will be followed by a profit and a profit by a loss (negative dependence). In such case you would want to miss a trade after a profit and take a trade after a loss to maximize profits and minimize losses.

Hope that’s clear enough! We’ll add a section describing it in full, in the next several days.

Looks like an issue on our side - currently checking it, please stand by.