Datawalk (Poland) Analysis
| DAT Stock | 43.20 2.90 6.29% |
Datawalk SA is overvalued with . The main objective of Datawalk stock analysis is to determine its intrinsic value, which is an estimate of what Datawalk SA is worth, separate from its market price. There are two main types of Datawalk's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Datawalk's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Datawalk's stock to identify patterns and trends that may indicate its future price movements.
The Datawalk stock is traded in Poland on Warsaw Stock Exchange, with the market opening at 09:00:00 and closing at 17:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Poland. Datawalk is usually not traded on Corpus Christi, Constitution Day, Assumption of Mary, All Saints ' Day, Independence Day, Christmas Day, Boxing Day, New Year 's Day, Epiphany, Easter Sunday, Easter Monday, International Workers ' Day. Datawalk Stock trading window is adjusted to Europe/Warsaw timezone.
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Datawalk SA Investment Alerts
| Datawalk SA had very high historical volatility over the last 90 days |
Datawalk Thematic Classifications
In addition to having Datawalk 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.
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Datawalk SA Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Datawalk 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 Datawalk SA. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Datawalk Outstanding Bonds
Datawalk 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. Datawalk 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 Datawalk bonds can be classified according to their maturity, which is the date when Datawalk 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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Datawalk Predictive Daily Indicators
Datawalk 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 Datawalk 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.
Datawalk Forecast Models
Datawalk's time-series forecasting models are one of many Datawalk'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 Datawalk'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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Additional Tools for Datawalk Stock Analysis
When running Datawalk's price analysis, check to measure Datawalk's 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 Datawalk is operating at the current time. Most of Datawalk's value examination focuses on studying past and present price action to predict the probability of Datawalk's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datawalk's price. Additionally, you may evaluate how the addition of Datawalk to your portfolios can decrease your overall portfolio volatility.