Veritone Stock Odds of Future Stock Price Finishing Under 2.63
| VERI Stock | USD 3.28 0.64 16.33% |
Veritone |
Veritone Target Price Odds to finish below 2.63
The tendency of Veritone 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 drop to $ 2.63 or more in 90 days |
| 3.28 | 90 days | 2.63 | about 17.32 |
Based on a normal probability distribution, the odds of Veritone to drop to $ 2.63 or more in 90 days from now is about 17.32 (This Veritone probability density function shows the probability of Veritone Stock to fall within a particular range of prices over 90 days) . Probability of Veritone price to stay between $ 2.63 and its current price of $3.28 at the end of the 90-day period is about 34.43 .
Given the investment horizon of 90 days Veritone has a beta of 0.0534. This entails as returns on the market go up, Veritone average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Veritone will be expected to be much smaller as well. Additionally Veritone has an alpha of 0.0963, implying that it can generate a 0.0963 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Veritone Price Density |
| Price |
Predictive Modules for Veritone
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Veritone. 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.Veritone Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Veritone is not an exception. The market had few large corrections towards the Veritone'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 Veritone, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Veritone within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.1 | |
β | Beta against Dow Jones | 0.05 | |
σ | Overall volatility | 0.66 | |
Ir | Information ratio | 0.01 |
Veritone 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 Veritone for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Veritone can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Veritone had very high historical volatility over the last 90 days | |
| Veritone has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the previous year's revenue of 127.56 M. Net Loss for the year was (58.62 M) with profit before overhead, payroll, taxes, and interest of 122.3 M. | |
| Veritone currently holds about 220.46 M in cash with (76.42 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 6.1, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Roughly 14.0% of the company outstanding shares are owned by insiders | |
| Latest headline from thelincolnianonline.com: Chad Steelberg Sells 504,657 Shares of Veritone, Inc. Stock |
Veritone 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 Veritone Stock often depends not only on the future outlook of the current and potential Veritone'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. Veritone's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 36.9 M | |
| Cash And Short Term Investments | 79.4 M |
Veritone Technical Analysis
Veritone's future price can be derived by breaking down and analyzing its technical indicators over time. Veritone Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Veritone. In general, you should focus on analyzing Veritone Stock price patterns and their correlations with different microeconomic environments and drivers.
Veritone Predictive Forecast Models
Veritone's time-series forecasting models is one of many Veritone'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 Veritone'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.
| Naive Prediction | ||||
| Simple Exponential Smoothing | ||||
| Double Exponential Smoothing | //window.location = "/error404.html"; |