| 832248BD9 | | | 82.80 0.00 0.00% |
832248BD9 mean-deviation technical analysis lookup allows you to check this and other technical indicators for SFD 2625 13 SEP 31 or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also
Equity Screeners to view more equity screening tools
SFD 2625 13 SEP 31 has current Mean Deviation of 0.398. The mean deviation of the equity instrument is the first measure of the distances between each value of security historical prices and the mean. It gives us an idea of how spread out from the center the distribution of returns.
Mean Deviation | = | SUM(RET DEV)N |
| = | 0.398 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of 832248BD9 |
| N | = | Number of calculation points for selected time horizon |
832248BD9 Mean Deviation Peers Comparison
832248BD9 Mean Deviation Relative To Other Indicators
SFD 2625 13 SEP 31 cannot be rated in Mean Deviation category at this point. It cannot be rated in Maximum Drawdown category at this point. reporting about
7.17 of Maximum Drawdown per Mean Deviation. The ratio of Maximum Drawdown to Mean Deviation for SFD 2625 13 SEP 31 is roughly
7.17 Mean Deviation is the average of the absolute values of the differences between price distribution numbers and their mean. Mean deviation of equity instrument with a lot of historical data is a biased estimator because the time horizon used in calculation will always be much smaller than the entire price history of the equity. The mean deviation is typically used as a measure of dispersion for small investment horizon, otherwise standard deviation is a better measure of dispersion.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.