S N (Romania) Analysis
| SNN Stock | 38.60 1.80 4.46% |
S N Nuclearele is fairly valued with Real Value of 39.9 and Hype Value of 38.6. The main objective of S N stock analysis is to determine its intrinsic value, which is an estimate of what S N Nuclearele is worth, separate from its market price. There are two main types of S N's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect S N's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of S N's stock to identify patterns and trends that may indicate its future price movements.
The S N 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. S N is usually not traded on 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, Easter Sunday, Easter Monday, International Workers ' Day, International Children 's Day. SNN Stock trading window is adjusted to Europe/Bucharest timezone.
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S N Nuclearele Investment Alerts
| S N Nuclearele generated a negative expected return over the last 90 days |
Technical Drivers
As of the 23rd of March, S N has the Standard Deviation of 1.37, risk adjusted performance of (0.07), and Market Risk Adjusted Performance of (0.59). Our technical analysis interface makes it possible for you to check timely technical drivers of S N Nuclearele, as well as the relationship between them.S N Nuclearele Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. S N 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 S N Nuclearele. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
S N Outstanding Bonds
S N 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. S N Nuclearele 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 SNN bonds can be classified according to their maturity, which is the date when S N Nuclearele 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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S N Predictive Daily Indicators
S N 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 S N 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.
S N Forecast Models
S N's time-series forecasting models are one of many S N'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 S N'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
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Other Information on Investing in SNN Stock
S N financial ratios help investors to determine whether SNN 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 SNN with respect to the benefits of owning S N security.