Quantum Genomics (France) Probability of Future Stock Price Finishing Over 0.0669
| ALQGC Stock | EUR 0.07 0 1.77% |
Quantum |
Quantum Genomics Target Price Odds to finish over 0.0669
The tendency of Quantum 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 stay above € 0.07 in 90 days |
| 0.07 | 90 days | 0.07 | about 37.56 |
Based on a normal probability distribution, the odds of Quantum Genomics to stay above € 0.07 in 90 days from now is about 37.56 (This Quantum Genomics SA probability density function shows the probability of Quantum Stock to fall within a particular range of prices over 90 days) . Probability of Quantum Genomics price to stay between € 0.07 and its current price of €0.0721 at the end of the 90-day period is about 7.7 .
Assuming the 90 days trading horizon the stock has the beta coefficient of 9.19 . This suggests as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Quantum Genomics will likely underperform. In addition to that Quantum Genomics SA has an alpha of 4.0946, implying that it can generate a 4.09 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Quantum Genomics Price Density |
| Price |
Predictive Modules for Quantum Genomics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quantum Genomics. 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 Quantum Genomics' 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.
Quantum Genomics Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Quantum Genomics is not an exception. The market had few large corrections towards the Quantum Genomics' 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 Quantum Genomics SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Quantum Genomics within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 4.09 | |
β | Beta against Dow Jones | 9.19 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | 0.13 |
Quantum Genomics 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 Quantum Genomics for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Quantum Genomics can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Quantum Genomics is way too risky over 90 days horizon | |
| Quantum Genomics has some characteristics of a very speculative penny stock | |
| Quantum Genomics appears to be risky and price may revert if volatility continues | |
| The company reported the revenue of 116.21 K. Net Loss for the year was (17.36 M) with loss before overhead, payroll, taxes, and interest of (12.47 M). | |
| Quantum Genomics SA has accumulated about 5.01 M in cash with (17.02 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.89, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Quantum Genomics 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 Quantum Stock often depends not only on the future outlook of the current and potential Quantum Genomics' 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. Quantum Genomics' 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 | 13.6 M |
Quantum Genomics Technical Analysis
Quantum Genomics' future price can be derived by breaking down and analyzing its technical indicators over time. Quantum Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Quantum Genomics SA. In general, you should focus on analyzing Quantum Stock price patterns and their correlations with different microeconomic environments and drivers.
Quantum Genomics Predictive Forecast Models
Quantum Genomics' time-series forecasting models is one of many Quantum Genomics' 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 Quantum Genomics' 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 Quantum Genomics
Checking the ongoing alerts about Quantum Genomics for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Quantum Genomics help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Quantum Genomics is way too risky over 90 days horizon | |
| Quantum Genomics has some characteristics of a very speculative penny stock | |
| Quantum Genomics appears to be risky and price may revert if volatility continues | |
| The company reported the revenue of 116.21 K. Net Loss for the year was (17.36 M) with loss before overhead, payroll, taxes, and interest of (12.47 M). | |
| Quantum Genomics SA has accumulated about 5.01 M in cash with (17.02 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.89, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Additional Tools for Quantum Stock Analysis
When running Quantum Genomics' price analysis, check to measure Quantum Genomics' 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 Quantum Genomics is operating at the current time. Most of Quantum Genomics' value examination focuses on studying past and present price action to predict the probability of Quantum Genomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Genomics' price. Additionally, you may evaluate how the addition of Quantum Genomics to your portfolios can decrease your overall portfolio volatility.