Sera Prognostics Stock Probability of Future Stock Price Finishing Under 9.23
| SERA Stock | USD 8.14 0.20 2.40% |
Sera |
Sera Prognostics Target Price Odds to finish below 9.23
The tendency of Sera 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 under $ 9.23 after 90 days |
| 8.14 | 90 days | 9.23 | close to 99 |
Based on a normal probability distribution, the odds of Sera Prognostics to stay under $ 9.23 after 90 days from now is close to 99 (This Sera Prognostics probability density function shows the probability of Sera Stock to fall within a particular range of prices over 90 days) . Probability of Sera Prognostics price to stay between its current price of $ 8.14 and $ 9.23 at the end of the 90-day period is about 14.54 .
Given the investment horizon of 90 days Sera Prognostics has a beta of -1.36. This usually implies as returns on its benchmark rise, returns on holding Sera Prognostics are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Sera Prognostics is expected to outperform its benchmark. Additionally Sera Prognostics has an alpha of 0.2233, implying that it can generate a 0.22 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Sera Prognostics Price Density |
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Predictive Modules for Sera Prognostics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sera Prognostics. 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.Sera Prognostics Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sera Prognostics is not an exception. The market had few large corrections towards the Sera Prognostics' 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 Sera Prognostics, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sera Prognostics within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.22 | |
β | Beta against Dow Jones | -1.36 | |
σ | Overall volatility | 0.76 | |
Ir | Information ratio | 0.04 |
Sera Prognostics 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 Sera Prognostics for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Sera Prognostics can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Sera Prognostics had very high historical volatility over the last 90 days | |
| The company reported the previous year's revenue of 306 K. Net Loss for the year was (36.24 M) with profit before overhead, payroll, taxes, and interest of 75 K. | |
| Sera Prognostics currently holds about 106.91 M in cash with (27.19 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 3.45. | |
| Roughly 72.0% of the company shares are owned by institutional investors | |
| Latest headline from prnewswire.com: LINDA YACCARINO, PRSIDENTE-DIRECTRICE GNRALE DE X CORP, SERA LINVITE DHONNEUR DU CES 2025 |
Sera Prognostics 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 Sera Stock often depends not only on the future outlook of the current and potential Sera Prognostics' 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. Sera Prognostics' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 31.2 M | |
| Cash And Short Term Investments | 49.1 M |
Sera Prognostics Technical Analysis
Sera Prognostics' future price can be derived by breaking down and analyzing its technical indicators over time. Sera Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sera Prognostics. In general, you should focus on analyzing Sera Stock price patterns and their correlations with different microeconomic environments and drivers.
Sera Prognostics Predictive Forecast Models
Sera Prognostics' time-series forecasting models is one of many Sera Prognostics' 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 Sera Prognostics' 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.