Seeing Machines (UK) Probability of Future Stock Price Finishing Over 9.88
| SEE Stock | 3.40 0.20 6.25% |
Seeing |
Seeing Machines Target Price Odds to finish over 9.88
The tendency of Seeing 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 9.88 or more in 90 days |
| 3.40 | 90 days | 9.88 | near 1 |
Based on a normal probability distribution, the odds of Seeing Machines to move over 9.88 or more in 90 days from now is near 1 (This Seeing Machines Limited probability density function shows the probability of Seeing Stock to fall within a particular range of prices over 90 days) . Probability of Seeing Machines price to stay between its current price of 3.40 and 9.88 at the end of the 90-day period is over 95.51 .
Assuming the 90 days trading horizon Seeing Machines Limited has a beta of -0.63. This usually implies as returns on the benchmark increase, returns on holding Seeing Machines are expected to decrease at a much lower rate. During a bear market, however, Seeing Machines Limited is likely to outperform the market. Additionally Seeing Machines Limited 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. Seeing Machines Price Density |
| Price |
Predictive Modules for Seeing Machines
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Seeing Machines. 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.Seeing Machines Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Seeing Machines is not an exception. The market had few large corrections towards the Seeing Machines' 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 Seeing Machines Limited, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Seeing Machines within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.49 | |
β | Beta against Dow Jones | -0.63 | |
σ | Overall volatility | 0.66 | |
Ir | Information ratio | -0.21 |
Seeing Machines 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 Seeing Machines for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Seeing Machines can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Seeing Machines generated a negative expected return over the last 90 days | |
| Seeing Machines has high historical volatility and very poor performance | |
| Seeing Machines has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 67.62 M. Net Loss for the year was (31.28 M) with profit before overhead, payroll, taxes, and interest of 28.9 M. | |
| Seeing Machines generates negative cash flow from operations | |
| About 13.0% of the company outstanding shares are owned by corporate insiders | |
| Latest headline from news.google.com: Seeing Machines makes confident start to new financial year - Proactive Investors UK |
Seeing Machines 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 Seeing Stock often depends not only on the future outlook of the current and potential Seeing Machines' 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. Seeing Machines' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 4.2 B | |
| Cash And Short Term Investments | 23.7 M |
Seeing Machines Technical Analysis
Seeing Machines' future price can be derived by breaking down and analyzing its technical indicators over time. Seeing Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Seeing Machines Limited. In general, you should focus on analyzing Seeing Stock price patterns and their correlations with different microeconomic environments and drivers.
Seeing Machines Predictive Forecast Models
Seeing Machines' time-series forecasting models is one of many Seeing Machines' 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 Seeing Machines' 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 Seeing Machines
Checking the ongoing alerts about Seeing Machines for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Seeing Machines help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Seeing Machines generated a negative expected return over the last 90 days | |
| Seeing Machines has high historical volatility and very poor performance | |
| Seeing Machines has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 67.62 M. Net Loss for the year was (31.28 M) with profit before overhead, payroll, taxes, and interest of 28.9 M. | |
| Seeing Machines generates negative cash flow from operations | |
| About 13.0% of the company outstanding shares are owned by corporate insiders | |
| Latest headline from news.google.com: Seeing Machines makes confident start to new financial year - Proactive Investors UK |
Other Information on Investing in Seeing Stock
Seeing Machines financial ratios help investors to determine whether Seeing 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 Seeing with respect to the benefits of owning Seeing Machines security.