Q Linea (Sweden) Odds of Future Stock Price Finishing Over 18.91
QLINEA Stock | SEK 0.68 0.09 11.69% |
QLINEA |
Q Linea Target Price Odds to finish over 18.91
The tendency of QLINEA Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current Price | Horizon | Target Price | Odds to move over kr 18.91 or more in 90 days |
0.68 | 90 days | 18.91 | close to zero percent |
Based on a normal probability distribution, the odds of Q Linea to move over kr 18.91 or more in 90 days from now is close to zero percent (This Q linea AB probability density function shows the probability of QLINEA Stock to fall within a particular range of prices over 90 days) . Probability of Q linea AB price to stay between its current price of kr 0.68 and kr 18.91 at the end of the 90-day period is under 95 .
Assuming the 90 days trading horizon Q Linea has a beta of 0.75 indicating as returns on the market go up, Q Linea average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Q linea AB will be expected to be much smaller as well. Additionally Q linea AB has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Q Linea Price Density |
Price |
Predictive Modules for Q Linea
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Q linea AB. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Q Linea's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Q Linea Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Q Linea is not an exception. The market had few large corrections towards the Q Linea's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Q linea AB, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Q Linea within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -2.06 | |
β | Beta against Dow Jones | 0.75 | |
σ | Overall volatility | 0.76 | |
Ir | Information ratio | -0.39 |
Q Linea 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 Q Linea for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Q linea 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.Q linea AB generated a negative expected return over the last 90 days | |
Q linea AB has high historical volatility and very poor performance | |
Q linea AB has some characteristics of a very speculative penny stock | |
Q linea AB has high likelihood to experience some financial distress in the next 2 years | |
The company reported the revenue of 9.34 M. Net Loss for the year was (231.24 M) with loss before overhead, payroll, taxes, and interest of (24.63 M). | |
Q linea AB has accumulated about 15.09 M in cash with (255.05 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 11.76, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
Roughly 75.0% of the company shares are owned by institutional investors |
Q Linea 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 QLINEA Stock often depends not only on the future outlook of the current and potential Q Linea'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. Q Linea's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 107.5 M | |
Cash And Short Term Investments | 166 M |
Q Linea Technical Analysis
Q Linea's future price can be derived by breaking down and analyzing its technical indicators over time. QLINEA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Q linea AB. In general, you should focus on analyzing QLINEA Stock price patterns and their correlations with different microeconomic environments and drivers.
Q Linea Predictive Forecast Models
Q Linea's time-series forecasting models is one of many Q Linea'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 Q Linea'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 Q linea AB
Checking the ongoing alerts about Q Linea for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Q linea AB help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Q linea AB generated a negative expected return over the last 90 days | |
Q linea AB has high historical volatility and very poor performance | |
Q linea AB has some characteristics of a very speculative penny stock | |
Q linea AB has high likelihood to experience some financial distress in the next 2 years | |
The company reported the revenue of 9.34 M. Net Loss for the year was (231.24 M) with loss before overhead, payroll, taxes, and interest of (24.63 M). | |
Q linea AB has accumulated about 15.09 M in cash with (255.05 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 11.76, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
Roughly 75.0% of the company shares are owned by institutional investors |
Other Information on Investing in QLINEA Stock
Q Linea financial ratios help investors to determine whether QLINEA 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 QLINEA with respect to the benefits of owning Q Linea security.