Charlottes Web Holdings Stock Probability of Future OTC Stock Price Finishing Over 0.16
| CWBHF Stock | USD 0.16 0.01 5.88% |
Charlottes |
Charlottes Web Target Price Odds to finish over 0.16
The tendency of Charlottes OTC 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 above the current price in 90 days |
| 0.16 | 90 days | 0.16 | about 86.5 |
Based on a normal probability distribution, the odds of Charlottes Web to move above the current price in 90 days from now is about 86.5 (This Charlottes Web Holdings probability density function shows the probability of Charlottes OTC Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon the otc stock has the beta coefficient of 1.1 suggesting Charlottes Web Holdings market returns are reactive to returns on the market. As the market goes up or down, Charlottes Web is expected to follow. Additionally Charlottes Web Holdings has an alpha of 0.2876, implying that it can generate a 0.29 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Charlottes Web Price Density |
| Price |
Predictive Modules for Charlottes Web
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Charlottes Web Holdings. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 Charlottes Web'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.
Charlottes Web Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Charlottes Web is not an exception. The market had few large corrections towards the Charlottes Web'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 Charlottes Web Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Charlottes Web within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.29 | |
β | Beta against NYSE Composite | 1.10 | |
σ | Overall volatility | 0.03 | |
Ir | Information ratio | 0.04 |
Charlottes Web 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 Charlottes Web for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Charlottes Web Holdings can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Charlottes Web had very high historical volatility over the last 90 days | |
| Charlottes Web has some characteristics of a very speculative penny stock | |
| Charlottes Web has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 96.09 M. Net Loss for the year was (137.72 M) with profit before overhead, payroll, taxes, and interest of 47.53 M. | |
| Charlottes Web Holdings has accumulated about 14.82 M in cash with (29.56 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.1. |
Charlottes Web 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 Charlottes OTC Stock often depends not only on the future outlook of the current and potential Charlottes Web'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. Charlottes Web's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 144.7 M | |
| Cash And Short Term Investments | 19.5 M |
Charlottes Web Technical Analysis
Charlottes Web's future price can be derived by breaking down and analyzing its technical indicators over time. Charlottes OTC Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Charlottes Web Holdings. In general, you should focus on analyzing Charlottes OTC Stock price patterns and their correlations with different microeconomic environments and drivers.
Charlottes Web Predictive Forecast Models
Charlottes Web's time-series forecasting models is one of many Charlottes Web's otc 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 Charlottes Web'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 otc stock market movement and maximize returns from investment trading.
Things to note about Charlottes Web Holdings
Checking the ongoing alerts about Charlottes Web for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Charlottes Web Holdings help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Charlottes Web had very high historical volatility over the last 90 days | |
| Charlottes Web has some characteristics of a very speculative penny stock | |
| Charlottes Web has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 96.09 M. Net Loss for the year was (137.72 M) with profit before overhead, payroll, taxes, and interest of 47.53 M. | |
| Charlottes Web Holdings has accumulated about 14.82 M in cash with (29.56 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.1. |
Other Information on Investing in Charlottes OTC Stock
Charlottes Web financial ratios help investors to determine whether Charlottes OTC 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 Charlottes with respect to the benefits of owning Charlottes Web security.