Agilent Technologies Daily Balance Of Power

Agilent Technologies Inc -- USA Stock  

USD 66.44  0.06  0.09%

Investors can use this prediction interface to forecast Agilent Technologies historic prices and determine the direction of Agilent Technologies Inc future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Agilent Technologies historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Agilent Technologies Inc systematic risks associated with finding meaningful patterns of Agilent Technologies fundamentals over time. Check also Trending Equities.
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Agilent Technologies Inc has current Daily Balance Of Power of 0. Balance of Power indicator (or BOP) measures the strength of Agilent Technologies Inc market sensitivity to bulls and bears. It estimates the ability of Agilent Technologies buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Agilent Technologies Balance of Power indicator one can determine a trend of the price direction.
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0Agilent Technologies Daily Balance Of Power no trend
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Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.Compare Agilent Technologies to competition

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