stockfetcher
980 posts
msg #96301 |
9/16/2010 1:10:02 PM
| Standard Error (StdErr) |
|  | | Parameters | Indicator
Period
| | Usage | StdErr(close,45)
StdErr(MA(10),50)
| | | Description | Standard Error is a statistical measure of how well values fit the linear regression trend line for the data series. In short, the higher the error, the more volatility there is when looking at linear regression.
For example, below is an example where the standard error is used in conjunction with the linear regression slope, and r-squared to find stocks in a 45-day uptrend and the volatility around the trend line is low:
Another example that indicates increasing volatility around a 60 day downtrend:
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