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Can someone explain Z-score to me....
Dec 23, 2011 at 16:10
3,906 視聴
8 Replies
Oct 28, 2011からメンバー
23 投稿
Dec 23, 2011 at 16:10
Can someone explain Z-score probability including what a negative number means.
forex_trader_33781
Apr 11, 2011からメンバー
200 投稿
Dec 24, 2011 at 07:36
(編集済みのDec 24, 2011 at 07:40)
If you hover your mouse over 'Z-Score' on your account(s) page(s), it explains the use of it with regards to MyFxBook. Here it is strictly used to estimate the probability of a win followed by a loss, or a loss by a win. A stable number means you have a good, consistent trading system. You don't want "randomness" in a system.
Z-score is a principle of statistics-- when I took my college statistics class, this was a primary topic. Basically, z-score is a reading of the distribution of data for probability in a statistical sense. The z-score is calculated by taking a data point and subtracting the distribution mean and dividing the total by the standard deviation. A positive number means that the data is higher than the mean, and a negative number means the data is below the mean. The best example of this is a class with several grades. Each grade is assigned a z-score according to the distribution mean and standard deviation. The higher the z-score, the higher the variation of that student's grade from the mean.
There are other methods by which probability can determine if your next trade will be a winner or loser, but Z-score is a simple calculation that takes into account all your current numerical data. I'm really not the most qualified person for a detailed explanation-- I barely passed my Stats class and only made it because my project was pretty good (determine differences in gasoline prices in various regions of the city). 😄
Z-score is a principle of statistics-- when I took my college statistics class, this was a primary topic. Basically, z-score is a reading of the distribution of data for probability in a statistical sense. The z-score is calculated by taking a data point and subtracting the distribution mean and dividing the total by the standard deviation. A positive number means that the data is higher than the mean, and a negative number means the data is below the mean. The best example of this is a class with several grades. Each grade is assigned a z-score according to the distribution mean and standard deviation. The higher the z-score, the higher the variation of that student's grade from the mean.
There are other methods by which probability can determine if your next trade will be a winner or loser, but Z-score is a simple calculation that takes into account all your current numerical data. I'm really not the most qualified person for a detailed explanation-- I barely passed my Stats class and only made it because my project was pretty good (determine differences in gasoline prices in various regions of the city). 😄
Mar 19, 2021からメンバー
9 投稿
Oct 07, 2021 at 18:27
Working method. A bit complicated in my opinion. But working is the main thing.
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