Altur Slatina (Romania) Analysis
| ALT Stock | 0.08 0.0005 0.65% |
Altur Slatina is overvalued with Real Value of 0.0655 and Hype Value of 0.08. The main objective of Altur Slatina stock analysis is to determine its intrinsic value, which is an estimate of what Altur Slatina is worth, separate from its market price. There are two main types of Altur Slatina's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Altur Slatina's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Altur Slatina's stock to identify patterns and trends that may indicate its future price movements.
The Altur Slatina stock is traded in Romania on Bucharest Stock Exchange, with the market opening at 10:00:00 and closing at 17:45:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Romania. Altur Slatina is usually not traded on Easter Sunday, Easter Monday, International Workers ' Day, International Children 's Day, Whitsunday, Whitmonday, Assumption of Mary, St . Andrew 's Day, National Day, Christmas Day, Boxing Day, New Year 's Day, Day after New Year 's Day, Union Day / Small Union. Altur Stock trading window is adjusted to Europe/Bucharest timezone.
Altur |
Altur Slatina Investment Alerts
| Altur Slatina generated a negative expected return over the last 90 days | |
| Altur Slatina has some characteristics of a very speculative penny stock |
Technical Drivers
As of the 21st of November, Altur Slatina shows the Risk Adjusted Performance of (0.03), mean deviation of 1.39, and Standard Deviation of 2.22. Our technical analysis interface gives you tools to check existing technical drivers of Altur Slatina, as well as the relationship between them.Altur Slatina Price Movement Analysis
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Altur Slatina middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Altur Slatina. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Altur Slatina Outstanding Bonds
Altur Slatina issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Altur Slatina uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Altur bonds can be classified according to their maturity, which is the date when Altur Slatina has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Altur Slatina Predictive Daily Indicators
Altur Slatina intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Altur Slatina stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Altur Slatina Forecast Models
Altur Slatina's time-series forecasting models are one of many Altur Slatina's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary Altur Slatina'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 market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Altur Slatina to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in Altur Stock
Altur Slatina financial ratios help investors to determine whether Altur 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 Altur with respect to the benefits of owning Altur Slatina security.