MOIL (India) Statistic Functions Linear Regression Slope

MOIL Stock   333.45  13.10  4.09%   
MOIL statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against MOIL. MOIL 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. MOIL 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 thirteen with a total number of output elements of fourty-eight. The Linear Regression Slope is the rate of change in MOIL Limited price series over its benchmark or peer price series.

MOIL Technical Analysis Modules

Most technical analysis of MOIL 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 MOIL from various momentum indicators to cycle indicators. When you analyze MOIL 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 MOIL 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 MOIL Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of MOIL Limited based on widely used predictive technical indicators. In general, we focus on analyzing MOIL Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build MOIL'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 MOIL's intrinsic value. In addition to deriving basic predictive indicators for MOIL, we also check how macroeconomic factors affect MOIL price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
331.08333.39335.70
Details
Intrinsic
Valuation
LowRealHigh
247.78250.09366.80
Details
Naive
Forecast
LowNextHigh
342.67344.98347.29
Details
Earnings
Estimates (0)
LowProjected EPSHigh
3.924.695.45
Details

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Additional Tools for MOIL Stock Analysis

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