Camimex Group (Vietnam) Analysis
| CMX Stock | 7,680 30.00 0.39% |
Camimex Group JSC is overvalued with . The main objective of Camimex Group stock analysis is to determine its intrinsic value, which is an estimate of what Camimex Group JSC is worth, separate from its market price. There are two main types of Camimex Group's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Camimex Group's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Camimex Group's stock to identify patterns and trends that may indicate its future price movements.
The Camimex Group stock is traded in Vietnam on Vietnam Stocks, with the market opening at 09:00:00 and closing at 15:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Vietnam. Camimex Stock trading window is adjusted to Asia/Ho Chi Minh timezone.
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Camimex Group JSC Investment Alerts
| Camimex Group JSC generated a negative expected return over the last 90 days |
Camimex Group JSC Price Movement Analysis
The output start index for this execution was eleven with a total number of output elements of fifty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Camimex Group 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 Camimex Group JSC. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Camimex Group Outstanding Bonds
Camimex Group 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. Camimex Group JSC 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 Camimex bonds can be classified according to their maturity, which is the date when Camimex Group JSC 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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Camimex Group Predictive Daily Indicators
Camimex Group 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 Camimex Group 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 | 1549.16 | |||
| Daily Balance Of Power | (0.38) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 7670.0 | |||
| Day Typical Price | 7673.33 | |||
| Market Facilitation Index | 5.0E-4 | |||
| Price Action Indicator | (5.00) | |||
| Period Momentum Indicator | (30.00) | |||
| Relative Strength Index | 49.57 |
Camimex Group Forecast Models
Camimex Group's time-series forecasting models are one of many Camimex Group'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 Camimex Group'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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