E Data (Turkey) Chance of Future Stock Price Finishing Over 13.31

EDATA Stock   13.58  0.12  0.88%   
E Data's future price is the expected price of E Data instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of E Data Teknoloji Pazarlama performance during a given time horizon utilizing its historical volatility. Check out E Data Backtesting, E Data Valuation, E Data Correlation, E Data Hype Analysis, E Data Volatility, E Data History as well as E Data Performance.
  
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E Data Target Price Odds to finish over 13.31

The tendency of EDATA Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to stay above  13.31  in 90 days
 13.58 90 days 13.31 
about 87.03
Based on a normal probability distribution, the odds of E Data to stay above  13.31  in 90 days from now is about 87.03 (This E Data Teknoloji Pazarlama probability density function shows the probability of EDATA Stock to fall within a particular range of prices over 90 days) . Probability of E Data Teknoloji price to stay between  13.31  and its current price of 13.58 at the end of the 90-day period is under 4.
Assuming the 90 days trading horizon E Data Teknoloji Pazarlama has a beta of -0.32 suggesting as returns on the benchmark increase, returns on holding E Data are expected to decrease at a much lower rate. During a bear market, however, E Data Teknoloji Pazarlama is likely to outperform the market. Additionally E Data Teknoloji Pazarlama has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   E Data Price Density   
       Price  

Predictive Modules for E Data

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as E Data Teknoloji. 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
11.3513.5815.81
Details
Intrinsic
Valuation
LowRealHigh
10.3212.5514.78
Details
Naive
Forecast
LowNextHigh
10.9713.1915.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.5113.6213.73
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as E Data. Your research has to be compared to or analyzed against E Data's peers to derive any actionable benefits. When done correctly, E Data's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in E Data Teknoloji.

E Data Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. E Data is not an exception. The market had few large corrections towards the E Data's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold E Data Teknoloji Pazarlama, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of E Data within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.45
β
Beta against Dow Jones-0.32
σ
Overall volatility
1.88
Ir
Information ratio -0.26

E Data Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of E Data for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for E Data Teknoloji can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
E Data Teknoloji generated a negative expected return over the last 90 days
About 81.0% of the company shares are held by company insiders

E Data Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of EDATA Stock often depends not only on the future outlook of the current and potential E Data's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. E Data's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding45 M

E Data Technical Analysis

E Data's future price can be derived by breaking down and analyzing its technical indicators over time. EDATA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of E Data Teknoloji Pazarlama. In general, you should focus on analyzing EDATA Stock price patterns and their correlations with different microeconomic environments and drivers.

E Data Predictive Forecast Models

E Data's time-series forecasting models is one of many E Data's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary E Data's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about E Data Teknoloji

Checking the ongoing alerts about E Data for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for E Data Teknoloji help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
E Data Teknoloji generated a negative expected return over the last 90 days
About 81.0% of the company shares are held by company insiders

Other Information on Investing in EDATA Stock

E Data financial ratios help investors to determine whether EDATA 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 EDATA with respect to the benefits of owning E Data security.