Datagate Bilgisayar Stock Forecast - 8 Period Moving Average

DGATE Stock  TRY 42.00  0.98  2.39%   
The 8 Period Moving Average forecasted value of Datagate Bilgisayar Malzemeleri on the next trading day is expected to be 41.11 with a mean absolute deviation of 1.05 and the sum of the absolute errors of 55.59. Datagate Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Datagate Bilgisayar's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Datagate Bilgisayar is based on an artificially constructed time series of Datagate Bilgisayar daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Datagate Bilgisayar 8 Period Moving Average Price Forecast For the 14th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of Datagate Bilgisayar Malzemeleri on the next trading day is expected to be 41.11 with a mean absolute deviation of 1.05, mean absolute percentage error of 2.02, and the sum of the absolute errors of 55.59.
Please note that although there have been many attempts to predict Datagate 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 Datagate Bilgisayar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Datagate Bilgisayar Stock Forecast Pattern

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Datagate Bilgisayar Forecasted Value

In the context of forecasting Datagate Bilgisayar'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. Datagate Bilgisayar's downside and upside margins for the forecasting period are 38.34 and 43.88, respectively. We have considered Datagate Bilgisayar'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
42.00
41.11
Expected Value
43.88
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Datagate Bilgisayar stock data series using in forecasting. Note that when a statistical model is used to represent Datagate Bilgisayar 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 Criteria104.109
BiasArithmetic mean of the errors 0.0838
MADMean absolute deviation1.0489
MAPEMean absolute percentage error0.0261
SAESum of the absolute errors55.59
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Datagate Bilgisayar Malzemeleri 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Datagate Bilgisayar

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Datagate Bilgisayar. 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 Datagate Bilgisayar'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.
Hype
Prediction
LowEstimatedHigh
38.2541.0243.79
Details
Intrinsic
Valuation
LowRealHigh
31.4934.2645.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
39.9141.8543.78
Details

Other Forecasting Options for Datagate Bilgisayar

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

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

Datagate Bilgisayar 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 Datagate Bilgisayar'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 Datagate Bilgisayar's current price.

Datagate Bilgisayar Market Strength Events

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

Datagate Bilgisayar Risk Indicators

The analysis of Datagate Bilgisayar'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 Datagate Bilgisayar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting datagate 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

Explore Investment Opportunities

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 Datagate Stock

Datagate Bilgisayar financial ratios help investors to determine whether Datagate 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 Datagate with respect to the benefits of owning Datagate Bilgisayar security.