JP Morgan Math Operators Index of lowest value over a specified period

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JPM -- USA Stock  

 Earnings Call  Tomorrow

JP Morgan math-operators tool provides you with the Math Operators execution environment for running Index of lowest value over a specified period operator against JP Morgan and ING Group N. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as ING Group N and JP Morgan. Please specify Time Period to run this model.
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The output start index for this execution was eight with a total number of output elements of fifty-three. The Index of lowest value over a specified period line plots minimum index of JP Morgan Chase price series. View also all equity analysis or get more info about index of lowest value over a specified period math operators indicator.

JP Morgan Technical Analysis Modules

Most technical analysis of JP Morgan stock 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 JP Morgan from various momentum indicators to cycle indicators. When you analyze JP Morgan 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

About JP Morgan Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of JP Morgan Chase. We use our internally-developed statistical techniques to arrive at the intrinsic value of JP Morgan Chase based on widely used predictive technical indicators. In general, we focus on analyzing JP Morgan stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build JP Morgan's daily price indicators and compare them against related drivers such as math operators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of JP Morgan's intrinsic value. In addition to deriving basic predictive indicators for JP Morgan, we also check how macroeconomic factors affect JP Morgan price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Earnings
Estimates (9)
LowProjected EPSHigh
0.205.166.50
Details
Hype
Prediction
LowEstimated ValueHigh
94.1897.46100.74
Details
Intrinsic
Valuation
LowReal ValueHigh
91.4494.7298.00
Details
Naive
Forecast
LowNext ValueHigh
101.32104.60107.88
Details
15 Analysts
Consensus
LowTarget PriceHigh
96.00107.00120.00
Details
 2017 2018 2019 2020 (projected)
PPandE Turnover8.059.036.998.16
Calculated Tax Rate31.9220.3418.2224.79

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Analyst Recommendations

Analyst recommendations and target price estimates broken down by several categories
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Please see Risk vs Return Analysis. Please also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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