Kartal Yenilenebilir Stock Forecast - Naive Prediction

KARYE Stock   28.60  0.52  1.79%   
The Naive Prediction forecasted value of Kartal Yenilenebilir Enerji on the next trading day is expected to be 30.39 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 31.17. Investors can use prediction functions to forecast Kartal Yenilenebilir's stock prices and determine the direction of Kartal 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 Kartal Yenilenebilir's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Correlation Analysis 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 naive forecasting model for Kartal Yenilenebilir is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Kartal Yenilenebilir Enerji value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Kartal Yenilenebilir Naive Prediction Price Forecast For the 12th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Kartal Yenilenebilir Enerji on the next trading day is expected to be 30.39 with a mean absolute deviation of 0.51, mean absolute percentage error of 0.47, and the sum of the absolute errors of 31.17.
Please note that although there have been many attempts to predict Kartal 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 Kartal Yenilenebilir's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kartal Yenilenebilir Stock Forecast Pattern

Kartal Yenilenebilir Forecasted Value

In the context of forecasting Kartal 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. Kartal Yenilenebilir's downside and upside margins for the forecasting period are 27.80 and 32.97, respectively. We have considered Kartal 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
28.60
30.39
Expected Value
32.97
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Kartal Yenilenebilir stock data series using in forecasting. Note that when a statistical model is used to represent Kartal 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 Criteria117.358
BiasArithmetic mean of the errors None
MADMean absolute deviation0.511
MAPEMean absolute percentage error0.0189
SAESum of the absolute errors31.1685
This model is not at all useful as a medium-long range forecasting tool of Kartal Yenilenebilir Enerji. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Kartal Yenilenebilir. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Kartal 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 Kartal 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 Kartal 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 Kartal Yenilenebilir

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

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

Kartal 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 Kartal 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 Kartal Yenilenebilir's current price.

Kartal Yenilenebilir Market Strength Events

Market strength indicators help investors to evaluate how Kartal 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 Kartal Yenilenebilir shares will generate the highest return on investment. By undertsting and applying Kartal Yenilenebilir stock market strength indicators, traders can identify Kartal Yenilenebilir Enerji entry and exit signals to maximize returns.

Kartal Yenilenebilir Risk Indicators

The analysis of Kartal 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 Kartal Yenilenebilir's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kartal 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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