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Dr Reddys Stock Forecast - 4 Period Moving Average

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RDY -- USA Stock  

USD 44.80  0.75  1.70%

Investors can use this prediction interface to forecast Dr Reddys historic stock prices and determine the direction of Dr Reddys Laboratories Ltd future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Dr Reddys historical fundamentals such as revenue growth or operating cash flow patterns. Additionally take a look at Historical Fundamental Analysis of Dr Reddys to cross-verify your projections.
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A four-period moving average forecast model for Dr Reddys Laboratories Ltd is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
Given 30 days horizon, the value of Dr Reddys Laboratories Ltd on the next trading day is expected to be 44.825

Dr Reddys Stock Forecast Pattern

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Dr Reddys Forecasted Value

Market Value
44.80
February 23, 2020
44.83
Expected Value
49.09
Upside

Model Predictive Factors

AICAkaike Information Criteria109.9826
BiasArithmetic mean of the errors -0.1687
MADMean absolute deviation0.5131
MAPEMean absolute percentage error0.012
SAESum of the absolute errors29.2475
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Dr Reddys. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Dr Reddys Laboratories Ltd and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Volatility Measures

Dr Reddys Risk Indicators

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Additionally take a look at Historical Fundamental Analysis of Dr Reddys to cross-verify your projections. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.