Mfs High Yield Stock Statistic Functions Linear Regression Slope

CMU Stock  USD 3.58  0.03  0.85%   
MFS High statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against MFS High. MFS High 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. MFS High 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.

Function
Time Period
Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in MFS High Yield price series over its benchmark or peer price series.

MFS High Technical Analysis Modules

Most technical analysis of MFS High 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 MFS from various momentum indicators to cycle indicators. When you analyze MFS 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 MFS High 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 MFS High Yield. We use our internally-developed statistical techniques to arrive at the intrinsic value of MFS High Yield based on widely used predictive technical indicators. In general, we focus on analyzing MFS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build MFS High'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 MFS High's intrinsic value. In addition to deriving basic predictive indicators for MFS High, we also check how macroeconomic factors affect MFS High price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
PTB Ratio0.860.870.780.66
Dividend Yield0.05560.04720.05430.11
Hype
Prediction
LowEstimatedHigh
3.043.584.12
Details
Intrinsic
Valuation
LowRealHigh
2.583.123.66
Details
Naive
Forecast
LowNextHigh
3.053.594.13
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3.523.563.60
Details

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Additional Tools for MFS Stock Analysis

When running MFS High's price analysis, check to measure MFS High's 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 MFS High is operating at the current time. Most of MFS High's value examination focuses on studying past and present price action to predict the probability of MFS High's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MFS High's price. Additionally, you may evaluate how the addition of MFS High to your portfolios can decrease your overall portfolio volatility.