Power Stock Price Prediction
| POW Stock | CAD 47.16 0.12 0.26% |
Oversold Vs Overbought
58
Oversold | Overbought |
Quarterly Earnings Growth (0.62) | EPS Estimate Next Quarter 1.19 | EPS Estimate Current Year 4.6074 | EPS Estimate Next Year 5.1193 | Wall Street Target Price 49.9375 |
Using Power hype-based prediction, you can estimate the value of Power from the perspective of Power response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Power to buy its stock at a price that has no basis in reality. In that case, they are not buying Power because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Power after-hype prediction price | CAD 47.09 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Power |
Power After-Hype Price Prediction Density Analysis
As far as predicting the price of Power at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Power or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Power, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Power Estimiated After-Hype Price Volatility
In the context of predicting Power's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Power's historical news coverage. Power's after-hype downside and upside margins for the prediction period are 46.23 and 47.95, respectively. We have considered Power's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Power is very steady at this time. Analysis and calculation of next after-hype price of Power is based on 3 months time horizon.
Power Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Power backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Power, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.22 | 0.86 | 0.05 | 0.05 | 4 Events / Month | 1 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
47.16 | 47.09 | 0.11 |
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Power Hype Timeline
Power is at this time traded for 47.16on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of -0.05. Power is anticipated to increase in value after the next headline, with the price projected to jump to 47.09 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is estimated to be 0.11%, whereas the daily expected return is at this time at 0.22%. The volatility of related hype on Power is about 409.52%, with the expected price after the next announcement by competition of 47.11. The company reported the revenue of 46.43 B. Net Income was 2.25 B with profit before overhead, payroll, taxes, and interest of 15.11 B. Assuming the 90 days trading horizon the next anticipated press release will be in about 4 days. Check out Power Basic Forecasting Models to cross-verify your projections.Power Related Hype Analysis
Having access to credible news sources related to Power's direct competition is more important than ever and may enhance your ability to predict Power's future price movements. Getting to know how Power's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Power may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GWO | Great West Lifeco | 0.04 | 3 per month | 0.43 | 0.12 | 1.16 | (0.99) | 4.23 | |
| MFC | Manulife Financial Corp | (0.23) | 2 per month | 0.41 | 0.17 | 1.96 | (1.40) | 6.59 | |
| SLF | Sun Life Financial | (0.18) | 3 per month | 0.13 | 0.18 | 1.31 | (0.87) | 4.45 | |
| FTS | Fortis Inc | (0.18) | 4 per month | 0.58 | (0.02) | 1.13 | (1.19) | 3.91 | |
| BCE | BCE Inc | (0.50) | 4 per month | 0.00 | (0.27) | 1.41 | (1.77) | 13.03 |
Power Additional Predictive Modules
Most predictive techniques to examine Power price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Power using various technical indicators. When you analyze Power charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Power Predictive Indicators
The successful prediction of Power stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Power, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Power based on analysis of Power hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Power's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Power's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0446 | 0.0648 | 0.0567 | 0.0463 | Price To Sales Ratio | 0.41 | 0.44 | 0.54 | 0.57 |
Story Coverage note for Power
The number of cover stories for Power depends on current market conditions and Power's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Power is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Power's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Power Short Properties
Power's future price predictability will typically decrease when Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Power often depends not only on the future outlook of the potential 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. Power's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 663.1 M | |
| Cash And Short Term Investments | 21.9 B |
Other Information on Investing in Power Stock
Power financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power security.