Polygiene (Sweden) Probability of Future Stock Price Finishing Under 0.09
| POLYG Stock | SEK 10.10 0.65 6.05% |
Polygiene |
Polygiene 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 Polygiene for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Polygiene AB can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Polygiene AB generated a negative expected return over the last 90 days | |
| About 43.0% of the company outstanding shares are owned by corporate insiders |
Polygiene 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 Polygiene Stock often depends not only on the future outlook of the current and potential Polygiene'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. Polygiene's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 36.4 M | |
| Cash And Short Term Investments | 52.4 M |
Polygiene Technical Analysis
Polygiene's future price can be derived by breaking down and analyzing its technical indicators over time. Polygiene Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Polygiene AB. In general, you should focus on analyzing Polygiene Stock price patterns and their correlations with different microeconomic environments and drivers.
Polygiene Predictive Forecast Models
Polygiene's time-series forecasting models is one of many Polygiene'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 Polygiene'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 Polygiene AB
Checking the ongoing alerts about Polygiene for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Polygiene AB help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Polygiene AB generated a negative expected return over the last 90 days | |
| About 43.0% of the company outstanding shares are owned by corporate insiders |
Additional Tools for Polygiene Stock Analysis
When running Polygiene's price analysis, check to measure Polygiene'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 Polygiene is operating at the current time. Most of Polygiene's value examination focuses on studying past and present price action to predict the probability of Polygiene's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Polygiene's price. Additionally, you may evaluate how the addition of Polygiene to your portfolios can decrease your overall portfolio volatility.