Fortune Brands (Germany) Statistic Functions Linear Regression
2FB Stock | 58.00 0.50 0.87% |
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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Linear Regression model generates relationship between price series of Fortune Brands Home and its peer or benchmark and helps predict Fortune Brands future price from its past values.
Fortune Brands Technical Analysis Modules
Most technical analysis of Fortune Brands help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Fortune from various momentum indicators to cycle indicators. When you analyze Fortune charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |