Bayrak EBT Stock Forecast - Simple Moving Average

BAYRK Stock  TRY 17.91  0.03  0.17%   
The Simple Moving Average forecasted value of Bayrak EBT Taban on the next trading day is expected to be 17.91 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 23.20. Bayrak Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bayrak EBT's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Bayrak EBT 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.

Bayrak EBT Simple Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Moving Average forecasted value of Bayrak EBT Taban on the next trading day is expected to be 17.91 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.38, and the sum of the absolute errors of 23.20.
Please note that although there have been many attempts to predict Bayrak 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 Bayrak EBT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bayrak EBT Stock Forecast Pattern

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Bayrak EBT Forecasted Value

In the context of forecasting Bayrak EBT'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. Bayrak EBT's downside and upside margins for the forecasting period are 14.97 and 20.85, respectively. We have considered Bayrak EBT'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
17.91
17.91
Expected Value
20.85
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 Bayrak EBT stock data series using in forecasting. Note that when a statistical model is used to represent Bayrak EBT 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 Criteria113.465
BiasArithmetic mean of the errors 0.0377
MADMean absolute deviation0.3931
MAPEMean absolute percentage error0.0216
SAESum of the absolute errors23.195
The simple moving average model is conceptually a linear regression of the current value of Bayrak EBT Taban price series against current and previous (unobserved) value of Bayrak EBT. 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 Bayrak EBT

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bayrak EBT Taban. 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
LowEstimatedHigh
14.9717.9120.85
Details
Intrinsic
Valuation
LowRealHigh
12.2915.2318.17
Details

Other Forecasting Options for Bayrak EBT

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

Bayrak EBT 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 Bayrak EBT stock to make a market-neutral strategy. Peer analysis of Bayrak EBT could also be used in its relative valuation, which is a method of valuing Bayrak EBT by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Bayrak EBT Taban 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 Bayrak EBT'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 Bayrak EBT's current price.

Bayrak EBT Market Strength Events

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

Bayrak EBT Risk Indicators

The analysis of Bayrak EBT'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 Bayrak EBT's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bayrak 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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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Bayrak Stock

Bayrak EBT financial ratios help investors to determine whether Bayrak Stock 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 Bayrak with respect to the benefits of owning Bayrak EBT security.