Bet-at-home (Germany) Probability of Future Stock Price Finishing Under 0.26
| ACX Stock | EUR 2.64 0.05 1.93% |
Bet-at-home |
Bet-at-home 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 Bet-at-home for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for bet at home can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| bet at home generated a negative expected return over the last 90 days | |
| bet at home has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 47.56 M. Net Loss for the year was (16.31 M) with profit before overhead, payroll, taxes, and interest of 0. |
Bet-at-home 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 Bet-at-home Stock often depends not only on the future outlook of the current and potential Bet-at-home'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. Bet-at-home's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 7 M | |
| Dividends Paid | -17.5 M |
Bet-at-home Technical Analysis
Bet-at-home's future price can be derived by breaking down and analyzing its technical indicators over time. Bet-at-home Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of bet at home AG. In general, you should focus on analyzing Bet-at-home Stock price patterns and their correlations with different microeconomic environments and drivers.
Bet-at-home Predictive Forecast Models
Bet-at-home's time-series forecasting models is one of many Bet-at-home'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 Bet-at-home'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 bet at home
Checking the ongoing alerts about Bet-at-home for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for bet at home help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| bet at home generated a negative expected return over the last 90 days | |
| bet at home has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 47.56 M. Net Loss for the year was (16.31 M) with profit before overhead, payroll, taxes, and interest of 0. |
Other Information on Investing in Bet-at-home Stock
Bet-at-home financial ratios help investors to determine whether Bet-at-home Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bet-at-home with respect to the benefits of owning Bet-at-home security.