Net Power Stock Probability of Future Stock Price Finishing Over 19.96
| NPWR Stock | 12.99 0.54 4.34% |
NET |
NET Power Target Price Odds to finish over 19.96
The tendency of NET 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 19.96 or more in 90 days |
| 12.99 | 90 days | 19.96 | near 1 |
Based on a normal probability distribution, the odds of NET Power to move over 19.96 or more in 90 days from now is near 1 (This NET Power probability density function shows the probability of NET Stock to fall within a particular range of prices over 90 days) . Probability of NET Power price to stay between its current price of 12.99 and 19.96 at the end of the 90-day period is about 1.89 .
Given the investment horizon of 90 days NET Power has a beta of -0.29. This indicates as returns on the benchmark increase, returns on holding NET Power are expected to decrease at a much lower rate. During a bear market, however, NET Power is likely to outperform the market. Additionally NET Power has an alpha of 0.8935, implying that it can generate a 0.89 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). NET Power Price Density |
| Price |
Predictive Modules for NET Power
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NET Power. 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 NET Power'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.
NET Power Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. NET Power is not an exception. The market had few large corrections towards the NET Power'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 NET Power, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of NET Power within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.89 | |
β | Beta against Dow Jones | -0.29 | |
σ | Overall volatility | 2.08 | |
Ir | Information ratio | 0.15 |
NET Power 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 NET Power for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for NET Power can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| NET Power is way too risky over 90 days horizon | |
| NET Power appears to be risky and price may revert if volatility continues | |
| The company reported the previous year's revenue of 175 K. Net Loss for the year was (77.23 M) with profit before overhead, payroll, taxes, and interest of 305 K. | |
| NET Power generates negative cash flow from operations | |
| Over 87.0% of the company shares are owned by institutional investors | |
| Latest headline from gurufocus.com: Why Zoom Stock Declined Today |
NET Power 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 NET Stock often depends not only on the future outlook of the current and potential NET Power'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. NET Power's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 41.2 M | |
| Cash And Short Term Investments | 636.9 M |
NET Power Technical Analysis
NET Power's future price can be derived by breaking down and analyzing its technical indicators over time. NET Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of NET Power. In general, you should focus on analyzing NET Stock price patterns and their correlations with different microeconomic environments and drivers.
NET Power Predictive Forecast Models
NET Power's time-series forecasting models is one of many NET Power'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 NET Power'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 NET Power
Checking the ongoing alerts about NET Power for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for NET Power help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| NET Power is way too risky over 90 days horizon | |
| NET Power appears to be risky and price may revert if volatility continues | |
| The company reported the previous year's revenue of 175 K. Net Loss for the year was (77.23 M) with profit before overhead, payroll, taxes, and interest of 305 K. | |
| NET Power generates negative cash flow from operations | |
| Over 87.0% of the company shares are owned by institutional investors | |
| Latest headline from gurufocus.com: Why Zoom Stock Declined Today |
Additional Tools for NET Stock Analysis
When running NET Power's price analysis, check to measure NET Power's 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 NET Power is operating at the current time. Most of NET Power's value examination focuses on studying past and present price action to predict the probability of NET Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NET Power's price. Additionally, you may evaluate how the addition of NET Power to your portfolios can decrease your overall portfolio volatility.