Akfen Yenilenebilir Stock Forecast - Simple Moving Average

AKFYE Stock   18.51  0.29  1.54%   
The Simple Moving Average forecasted value of Akfen Yenilenebilir Enerji on the next trading day is expected to be 18.51 with a mean absolute deviation of 0.37 and the sum of the absolute errors of 21.83. Investors can use prediction functions to forecast Akfen Yenilenebilir's stock prices and determine the direction of Akfen Yenilenebilir Enerji's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Akfen Yenilenebilir's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income.
  
A two period moving average forecast for Akfen Yenilenebilir 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.

Akfen Yenilenebilir Simple Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Akfen Yenilenebilir Enerji on the next trading day is expected to be 18.51 with a mean absolute deviation of 0.37, mean absolute percentage error of 0.21, and the sum of the absolute errors of 21.83.
Please note that although there have been many attempts to predict Akfen Stock 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 Akfen Yenilenebilir's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Akfen Yenilenebilir Stock Forecast Pattern

Akfen Yenilenebilir Forecasted Value

In the context of forecasting Akfen Yenilenebilir's Stock 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. Akfen Yenilenebilir's downside and upside margins for the forecasting period are 16.38 and 20.64, respectively. We have considered Akfen Yenilenebilir'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.
Market Value
18.51
18.51
Expected Value
20.64
Upside

Model Predictive Factors

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 Akfen Yenilenebilir stock data series using in forecasting. Note that when a statistical model is used to represent Akfen Yenilenebilir 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.
AICAkaike Information Criteria112.8528
BiasArithmetic mean of the errors 0.0952
MADMean absolute deviation0.3701
MAPEMean absolute percentage error0.02
SAESum of the absolute errors21.835
The simple moving average model is conceptually a linear regression of the current value of Akfen Yenilenebilir Enerji price series against current and previous (unobserved) value of Akfen Yenilenebilir. 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 Akfen Yenilenebilir

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Akfen Yenilenebilir. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Akfen Yenilenebilir's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.

Other Forecasting Options for Akfen Yenilenebilir

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

Akfen Yenilenebilir Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Akfen Yenilenebilir stock to make a market-neutral strategy. Peer analysis of Akfen Yenilenebilir could also be used in its relative valuation, which is a method of valuing Akfen Yenilenebilir by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Akfen Yenilenebilir Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Akfen Yenilenebilir'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 Akfen Yenilenebilir's current price.

Akfen Yenilenebilir Market Strength Events

Market strength indicators help investors to evaluate how Akfen Yenilenebilir stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Akfen Yenilenebilir shares will generate the highest return on investment. By undertsting and applying Akfen Yenilenebilir stock market strength indicators, traders can identify Akfen Yenilenebilir Enerji entry and exit signals to maximize returns.

Akfen Yenilenebilir Risk Indicators

The analysis of Akfen Yenilenebilir's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Akfen Yenilenebilir's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting akfen stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

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