Raytheon Technologies (UK) Statistic Functions Time Series Forecast

0R2N Stock   120.84  0.22  0.18%   
Raytheon Technologies statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against Raytheon Technologies. Raytheon Technologies 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 Time Series Forecast function function is designed to identify and follow existing trends. Raytheon Technologies 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 Time Series Forecast uses simple linear regression to derive Raytheon Technologies best fit line over a given time period and plot it forward over user-defined time period.

Raytheon Technologies Technical Analysis Modules

Most technical analysis of Raytheon Technologies 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 Raytheon from various momentum indicators to cycle indicators. When you analyze Raytheon 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 Raytheon Technologies 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 Raytheon Technologies Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Raytheon Technologies Corp based on widely used predictive technical indicators. In general, we focus on analyzing Raytheon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Raytheon Technologies'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 Raytheon Technologies's intrinsic value. In addition to deriving basic predictive indicators for Raytheon Technologies, we also check how macroeconomic factors affect Raytheon Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
119.62120.85122.08
Details
Intrinsic
Valuation
LowRealHigh
120.24121.47122.70
Details
Naive
Forecast
LowNextHigh
120.46121.69122.92
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
120.56120.77120.97
Details

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Additional Tools for Raytheon Stock Analysis

When running Raytheon Technologies' price analysis, check to measure Raytheon Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Raytheon Technologies is operating at the current time. Most of Raytheon Technologies' value examination focuses on studying past and present price action to predict the probability of Raytheon Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Raytheon Technologies' price. Additionally, you may evaluate how the addition of Raytheon Technologies to your portfolios can decrease your overall portfolio volatility.