East Africa Stock Forward View - Triple Exponential Smoothing

East Africa Additional Predictive Modules

Most predictive techniques to examine East price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for East using various technical indicators. When you analyze East 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. Triple exponential smoothing for East Africa - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When East Africa prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in East Africa price movement. However, neither of these exponential smoothing models address any seasonality of East Africa Metals.

East Africa Triple Exponential Smoothing Price Forecast For the 4th of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of East Africa Metals on the next trading day is expected to be 0.11 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000072, and the sum of the absolute errors of 0.37.

East Africa Stock Forecast Pattern

Backtest East Africa

East Africa Price Prediction

Research Analysis

East Africa Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of East Africa stock data series using in forecasting. Note that when a statistical model is used to represent East Africa stock, 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. As with simple exponential smoothing, in triple exponential smoothing models past East Africa observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older East Africa Metals observations.

Predictive Modules for East Africa

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as East Africa Metals. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.

Hype Prediction Low Estimated High 0.01 0.11 6.85 Details

Intrinsic Valuation Low Real High 0.00 0.09 6.83 Details

Bollinger Band Projection (param) Low Middle High 0.1 0.12 0.14 Details

East Africa After-Hype Price Density Analysis

East Africa Estimiated After-Hype Price Volatility

East Africa Stock Price Outlook Analysis

Notes

East Africa Hype Timeline

East Africa Metals is currently traded for 0.11on TSX Venture Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. East is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.22%. %. The volatility of related hype on East Africa is about 101100.0%, with the expected price after the next announcement by competition of 0.11. About 37.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.95. Some equities with similar Price to Book (P/B) outperform the market in the long run. East Africa Metals recorded a loss per share of 0.01. The entity had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out Historical Fundamental Analysis of East Africa to cross-verify your projections.

East Africa Related Hype Analysis

Other Forecasting Options for East Africa

For every potential investor in East, whether a beginner or expert, East Africa's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. East Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in East. Basic forecasting techniques help filter out the noise by identifying East Africa's price trends.

East Africa Related Equities

Risk & Return

Correlation

East Africa Market Strength Events

East Africa Risk Indicators

Story Coverage note for East Africa

Other Macroaxis Stories

Additional Tools for East Stock Analysis