Suzlon Energy (India) Statistic Functions Linear Regression Slope

SUZLON Stock   62.98  0.75  1.18%   
Suzlon Energy statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Suzlon Energy. Suzlon Energy 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. Suzlon Energy 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 nine with a total number of output elements of fifty-two. The Linear Regression Slope is the rate of change in Suzlon Energy Limited price series over its benchmark or peer price series.

Suzlon Energy Technical Analysis Modules

Most technical analysis of Suzlon Energy 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 Suzlon from various momentum indicators to cycle indicators. When you analyze Suzlon 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 Suzlon Energy 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 Suzlon Energy Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of Suzlon Energy Limited based on widely used predictive technical indicators. In general, we focus on analyzing Suzlon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Suzlon Energy'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 Suzlon Energy's intrinsic value. In addition to deriving basic predictive indicators for Suzlon Energy, we also check how macroeconomic factors affect Suzlon Energy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
60.6663.6066.54
Details
Intrinsic
Valuation
LowRealHigh
50.5953.5370.10
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Suzlon Energy in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Suzlon Energy's short interest history, or implied volatility extrapolated from Suzlon Energy options trading.

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Other Information on Investing in Suzlon Stock

Suzlon Energy financial ratios help investors to determine whether Suzlon 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 Suzlon with respect to the benefits of owning Suzlon Energy security.