UCM RESITA (Romania) Analysis
| UCM Stock | 0.62 0.01 1.59% |
UCM RESITA SA is overvalued with . The main objective of UCM RESITA stock analysis is to determine its intrinsic value, which is an estimate of what UCM RESITA SA is worth, separate from its market price. There are two main types of UCM RESITA's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect UCM RESITA's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of UCM RESITA's stock to identify patterns and trends that may indicate its future price movements.
The UCM RESITA 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. UCM RESITA 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. UCM Stock trading window is adjusted to Europe/Bucharest timezone.
UCM |
UCM RESITA SA Investment Alerts
| UCM RESITA SA generated a negative expected return over the last 90 days | |
| UCM RESITA SA has some characteristics of a very speculative penny stock | |
| UCM RESITA SA has high historical volatility and very poor performance |
UCM RESITA SA Price Movement Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. UCM RESITA 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 UCM RESITA SA. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
UCM RESITA Outstanding Bonds
UCM RESITA 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. UCM RESITA SA 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 UCM bonds can be classified according to their maturity, which is the date when UCM RESITA SA 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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UCM RESITA Predictive Daily Indicators
UCM RESITA 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 UCM RESITA 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.
| Accumulation Distribution | 348.58 | |||
| Daily Balance Of Power | (0.17) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 0.59 | |||
| Day Typical Price | 0.6 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | (0.01) |
UCM RESITA Forecast Models
UCM RESITA's time-series forecasting models are one of many UCM RESITA'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 UCM RESITA'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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