PostNL NV (Netherlands) Probability of Future Stock Price Finishing Under 1.14
| PNL Stock | EUR 1.03 0.02 1.90% |
PostNL |
PostNL NV 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 PostNL NV for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for PostNL NV can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| PostNL NV generated a negative expected return over the last 90 days | |
| PostNL NV has some characteristics of a very speculative penny stock | |
| About 60.0% of the company shares are owned by institutional investors |
PostNL NV 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 PostNL Stock often depends not only on the future outlook of the current and potential PostNL NV'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. PostNL NV's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 513.3 M |
PostNL NV Technical Analysis
PostNL NV's future price can be derived by breaking down and analyzing its technical indicators over time. PostNL Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PostNL NV. In general, you should focus on analyzing PostNL Stock price patterns and their correlations with different microeconomic environments and drivers.
PostNL NV Predictive Forecast Models
PostNL NV's time-series forecasting models is one of many PostNL NV'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 PostNL NV'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 PostNL NV
Checking the ongoing alerts about PostNL NV for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for PostNL NV help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| PostNL NV generated a negative expected return over the last 90 days | |
| PostNL NV has some characteristics of a very speculative penny stock | |
| About 60.0% of the company shares are owned by institutional investors |
Additional Tools for PostNL Stock Analysis
When running PostNL NV's price analysis, check to measure PostNL NV'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 PostNL NV is operating at the current time. Most of PostNL NV's value examination focuses on studying past and present price action to predict the probability of PostNL NV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PostNL NV's price. Additionally, you may evaluate how the addition of PostNL NV to your portfolios can decrease your overall portfolio volatility.