BOEING CO Statistic Functions Linear Regression Slope

097023CV5   97.72  2.73  2.87%   
BOEING statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against BOEING. BOEING value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. BOEING statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Slope is the rate of change in BOEING CO price series over its benchmark or peer price series.

BOEING Technical Analysis Modules

Most technical analysis of BOEING 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 BOEING from various momentum indicators to cycle indicators. When you analyze BOEING 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.

About BOEING 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 BOEING CO. We use our internally-developed statistical techniques to arrive at the intrinsic value of BOEING CO based on widely used predictive technical indicators. In general, we focus on analyzing BOEING Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build BOEING's daily price indicators and compare them against related drivers, such as statistic functions 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 BOEING's intrinsic value. In addition to deriving basic predictive indicators for BOEING, we also check how macroeconomic factors affect BOEING price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
96.6797.7298.77
Details
Intrinsic
Valuation
LowRealHigh
96.2197.2698.31
Details
Naive
Forecast
LowNextHigh
97.9198.97100.02
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
91.9197.06102.22
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BOEING. Your research has to be compared to or analyzed against BOEING's peers to derive any actionable benefits. When done correctly, BOEING's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in BOEING CO.

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Other Information on Investing in BOEING Bond

BOEING financial ratios help investors to determine whether BOEING Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BOEING with respect to the benefits of owning BOEING security.