Canopy Growth Corp Stock Probability of Future Stock Price Finishing Over 21.65
| WEED Stock | CAD 4.02 0.07 1.71% |
Canopy |
Canopy Growth Target Price Odds to finish over 21.65
The tendency of Canopy 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 C$ 21.65 or more in 90 days |
| 4.02 | 90 days | 21.65 | close to zero percent |
Based on a normal probability distribution, the odds of Canopy Growth to move over C$ 21.65 or more in 90 days from now is close to zero percent (This Canopy Growth Corp probability density function shows the probability of Canopy Stock to fall within a particular range of prices over 90 days) . Probability of Canopy Growth Corp price to stay between its current price of C$ 4.02 and C$ 21.65 at the end of the 90-day period is roughly 96.0 .
Assuming the 90 days trading horizon Canopy Growth has a beta of 0.48. This entails as returns on the market go up, Canopy Growth average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Canopy Growth Corp will be expected to be much smaller as well. Additionally Canopy Growth Corp 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. Canopy Growth Price Density |
| Price |
Predictive Modules for Canopy Growth
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Canopy Growth Corp. 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.Canopy Growth Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Canopy Growth is not an exception. The market had few large corrections towards the Canopy Growth'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 Canopy Growth Corp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Canopy Growth within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.53 | |
β | Beta against Dow Jones | 0.48 | |
σ | Overall volatility | 0.93 | |
Ir | Information ratio | -0.11 |
Canopy Growth 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 Canopy Growth for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Canopy Growth Corp can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Canopy Growth Corp generated a negative expected return over the last 90 days | |
| Canopy Growth Corp has high historical volatility and very poor performance | |
| Canopy Growth Corp has a very high chance of going through financial distress in the upcoming years | |
| The company reported the revenue of 297.15 M. Net Loss for the year was (483.68 M) with loss before overhead, payroll, taxes, and interest of (81.94 M). | |
| Canopy Growth Corp has accumulated about 214.55 M in cash with (281.95 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 5.54, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Latest headline from news.google.com: Atb Cap Markets Forecasts Higher Earnings for Canopy Growth - MarketBeat |
Canopy Growth 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 Canopy Stock often depends not only on the future outlook of the current and potential Canopy Growth'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. Canopy Growth's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 74.8 M | |
| Cash And Short Term Investments | 205.8 M |
Canopy Growth Technical Analysis
Canopy Growth's future price can be derived by breaking down and analyzing its technical indicators over time. Canopy Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Canopy Growth Corp. In general, you should focus on analyzing Canopy Stock price patterns and their correlations with different microeconomic environments and drivers.
Canopy Growth Predictive Forecast Models
Canopy Growth's time-series forecasting models is one of many Canopy Growth'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 Canopy Growth'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 Canopy Growth Corp
Checking the ongoing alerts about Canopy Growth for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Canopy Growth Corp help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Canopy Growth Corp generated a negative expected return over the last 90 days | |
| Canopy Growth Corp has high historical volatility and very poor performance | |
| Canopy Growth Corp has a very high chance of going through financial distress in the upcoming years | |
| The company reported the revenue of 297.15 M. Net Loss for the year was (483.68 M) with loss before overhead, payroll, taxes, and interest of (81.94 M). | |
| Canopy Growth Corp has accumulated about 214.55 M in cash with (281.95 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 5.54, which can makes it an attractive takeover target, given it will continue generating positive cash flow. | |
| Latest headline from news.google.com: Atb Cap Markets Forecasts Higher Earnings for Canopy Growth - MarketBeat |
Check out Canopy Growth Backtesting, Canopy Growth Valuation, Canopy Growth Correlation, Canopy Growth Hype Analysis, Canopy Growth Volatility, Canopy Growth History as well as Canopy Growth Performance. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.