Golden Textiles (Egypt) Analysis
| GTWL Stock | 25.04 0.06 0.24% |
Golden Textiles Clothes is overvalued with . The main objective of Golden Textiles stock analysis is to determine its intrinsic value, which is an estimate of what Golden Textiles Clothes is worth, separate from its market price. There are two main types of Golden Textiles' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Golden Textiles' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Golden Textiles' stock to identify patterns and trends that may indicate its future price movements.
The Golden Textiles stock is traded in Egypt on Egyptian Exchange, with the market opening at 10:00:00 and closing at 14:15:00 every Mon,Tue,Wed,Thu,Sun except for officially observed holidays in Egypt. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Golden Textiles' ongoing operational relationships across important fundamental and technical indicators.
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Golden Textiles Clothes Investment Alerts
| Golden Textiles had very high historical volatility over the last 90 days |
Golden Textiles Thematic Classifications
In addition to having Golden Textiles stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | ApparelUSA Equities from Apparel industry as classified by Fama & French |
Golden Textiles Clothes Price Movement Analysis
The output start index for this execution was fourty-one with a total number of output elements of twenty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Golden Textiles 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 Golden Textiles Clothes. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Golden Textiles Outstanding Bonds
Golden Textiles 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. Golden Textiles Clothes 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 Golden bonds can be classified according to their maturity, which is the date when Golden Textiles Clothes 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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Golden Textiles Predictive Daily Indicators
Golden Textiles 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 Golden Textiles 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.
Golden Textiles Forecast Models
Golden Textiles' time-series forecasting models are one of many Golden Textiles' 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 Golden Textiles' 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 Golden Textiles to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for Golden Stock analysis
When running Golden Textiles' price analysis, check to measure Golden Textiles' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Golden Textiles is operating at the current time. Most of Golden Textiles' value examination focuses on studying past and present price action to predict the probability of Golden Textiles' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Golden Textiles' price. Additionally, you may evaluate how the addition of Golden Textiles to your portfolios can decrease your overall portfolio volatility.
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