DFS Furniture (UK) Statistic Functions Linear Regression

DFS Stock   133.00  11.40  7.89%   
DFS Furniture statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against DFS Furniture. DFS Furniture 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 function function is designed to identify and follow existing trends. DFS Furniture 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 nineteen with a total number of output elements of fourty-two. The Linear Regression model generates relationship between price series of DFS Furniture PLC and its peer or benchmark and helps predict DFS Furniture future price from its past values.

DFS Furniture Technical Analysis Modules

Most technical analysis of DFS Furniture 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 DFS from various momentum indicators to cycle indicators. When you analyze DFS 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 DFS Furniture 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 DFS Furniture PLC. We use our internally-developed statistical techniques to arrive at the intrinsic value of DFS Furniture PLC based on widely used predictive technical indicators. In general, we focus on analyzing DFS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build DFS Furniture'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 DFS Furniture's intrinsic value. In addition to deriving basic predictive indicators for DFS Furniture, we also check how macroeconomic factors affect DFS Furniture price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
131.04133.24135.44
Details
Intrinsic
Valuation
LowRealHigh
111.67113.87146.30
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.030.040.04
Details

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Other Information on Investing in DFS Stock

DFS Furniture financial ratios help investors to determine whether DFS Stock 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 DFS with respect to the benefits of owning DFS Furniture security.