The Simple Moving Average forecasted value of Epsilon Healthcare Limited on the next trading day is expected to be 0 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Epsilon Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Epsilon Healthcare's historical fundamentals, such as revenue growth or operating cash flow patterns.
Epsilon
A two period moving average forecast for Epsilon Healthcare is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.
Epsilon Healthcare Simple Moving Average Price Forecast For the 27th of February
Given 90 days horizon, the Simple Moving Average forecasted value of Epsilon Healthcare Limited on the next trading day is expected to be 0 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Epsilon Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Epsilon Healthcare's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Epsilon Healthcare's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Epsilon Healthcare's downside and upside margins for the forecasting period are 0 and 0, respectively. We have considered Epsilon Healthcare's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Epsilon Healthcare pink sheet data series using in forecasting. Note that when a statistical model is used to represent Epsilon Healthcare pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AIC
Akaike Information Criteria
-9.223372036854776E14
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
0.0
SAE
Sum of the absolute errors
0.0
The simple moving average model is conceptually a linear regression of the current value of Epsilon Healthcare Limited price series against current and previous (unobserved) value of Epsilon Healthcare. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future
Predictive Modules for Epsilon Healthcare
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Epsilon Healthcare. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
For every potential investor in Epsilon, whether a beginner or expert, Epsilon Healthcare's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Epsilon Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Epsilon. Basic forecasting techniques help filter out the noise by identifying Epsilon Healthcare's price trends.
Epsilon Healthcare Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Epsilon Healthcare's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Epsilon Healthcare's current price.
Market strength indicators help investors to evaluate how Epsilon Healthcare pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Epsilon Healthcare shares will generate the highest return on investment. By undertsting and applying Epsilon Healthcare pink sheet market strength indicators, traders can identify Epsilon Healthcare Limited entry and exit signals to maximize returns.
Other Information on Investing in Epsilon Pink Sheet
Epsilon Healthcare financial ratios help investors to determine whether Epsilon Pink Sheet 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 Epsilon with respect to the benefits of owning Epsilon Healthcare security.