NRW HLDG (Germany) Odds of Future Stock Price Finishing Under 1.1
| 3NR Stock | EUR 1.70 0.06 3.66% |
NRW |
NRW HLDG Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of NRW HLDG for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for NRW HLDG can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| NRW HLDG may become a speculative penny stock |
NRW HLDG Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of NRW Stock often depends not only on the future outlook of the current and potential NRW HLDG's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. NRW HLDG's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 449.2 M | |
| Dividend Yield | 0.0426 | |
| Short Long Term Debt | 69.4 M |
NRW HLDG Technical Analysis
NRW HLDG's future price can be derived by breaking down and analyzing its technical indicators over time. NRW Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of NRW HLDG. In general, you should focus on analyzing NRW Stock price patterns and their correlations with different microeconomic environments and drivers.
NRW HLDG Predictive Forecast Models
NRW HLDG's time-series forecasting models is one of many NRW HLDG's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This non-stationary NRW HLDG'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 stock market movement and maximize returns from investment trading.
Things to note about NRW HLDG
Checking the ongoing alerts about NRW HLDG for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for NRW HLDG help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| NRW HLDG may become a speculative penny stock |
Check out NRW HLDG Backtesting, NRW HLDG Valuation, NRW HLDG Correlation, NRW HLDG Hype Analysis, NRW HLDG Volatility, NRW HLDG History as well as NRW HLDG Performance. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Complementary Tools for NRW Stock analysis
When running NRW HLDG's price analysis, check to measure NRW HLDG'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 NRW HLDG is operating at the current time. Most of NRW HLDG's value examination focuses on studying past and present price action to predict the probability of NRW HLDG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NRW HLDG's price. Additionally, you may evaluate how the addition of NRW HLDG to your portfolios can decrease your overall portfolio volatility.
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