Power Stock Forecast - Simple Moving Average
| POW Stock | CAD 69.97 0.78 1.10% |
The Simple Moving Average forecasted value of Power on the next trading day is expected to be 69.97 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.06. Power Stock Forecast is based on your current time horizon. Although Power's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Power's systematic risk associated with finding meaningful patterns of Power fundamentals over time.
As of today the relative strength indicator of Power's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.911 | EPS Estimate Next Quarter 1.3757 | EPS Estimate Current Year 5.3114 | EPS Estimate Next Year 5.9034 | Wall Street Target Price 70 |
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 Simple Moving Average forecasted value of Power on the next trading day is expected to be 69.97 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.06. Power after-hype prediction price | CAD 69.97 |
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 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 |
Power Simple Moving Average Price Forecast For the 25th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Power on the next trading day is expected to be 69.97 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.72, and the sum of the absolute errors of 43.06.Please note that although there have been many attempts to predict Power Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Power Stock Forecast Pattern
| Backtest Power | Power Price Prediction | Buy or Sell Advice |
Power Forecasted Value
In the context of forecasting Power's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Power's downside and upside margins for the forecasting period are 68.91 and 71.03, respectively. We have considered Power's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Power stock data series using in forecasting. Note that when a statistical model is used to represent Power stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 115.9455 |
| Bias | Arithmetic mean of the errors | -0.153 |
| MAD | Mean absolute deviation | 0.7177 |
| MAPE | Mean absolute percentage error | 0.0102 |
| SAE | Sum of the absolute errors | 43.06 |
Predictive Modules for 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 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.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 68.91 and 71.03, 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 |
0.17 | 1.06 | 0.03 | 0.17 | 9 Events / Month | 1 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
69.97 | 69.97 | 0.00 |
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Power Hype Timeline
Power is at this time traded for 69.97on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.17. Power is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.17%. %. The volatility of related hype on Power is about 108.32%, with the expected price after the next announcement by competition of 69.80. About 40.0% of the company shares are owned by institutional investors. The book value of Power was at this time reported as 36.74. The company has Price/Earnings To Growth (PEG) ratio of 1.37. Power last dividend was issued on the 31st of December 2025. The entity had 2:1 split on the 21st of July 2004. Assuming the 90 days trading horizon the next anticipated press release will be in about 9 days. Check out Historical Fundamental Analysis of Power 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 | 0.71 | 13 per month | 0.60 | 0.12 | 1.46 | (1.38) | 4.62 | |
| MFC | Manulife Financial Corp | 0.23 | 10 per month | 0.73 | 0.13 | 1.79 | (1.19) | 5.56 | |
| PWF-PZ | Power Financial Corp | 0.00 | 0 per month | 0.40 | (0.12) | 0.91 | (0.79) | 2.58 | |
| SLF | Sun Life Financial | 0.96 | 8 per month | 1.09 | (0.03) | 1.41 | (1.55) | 5.57 | |
| IFC | Intact Financial | (0.20) | 3 per month | 1.03 | (0.06) | 1.69 | (1.63) | 6.91 | |
| FFH | Fairfax Financial Holdings | (8.55) | 7 per month | 1.54 | (0.02) | 2.21 | (2.58) | 9.94 | |
| TD-PFJ | Toronto Dominion Bank Pref | 0.00 | 0 per month | 0.39 | (0.07) | 0.74 | (0.77) | 2.21 |
Other Forecasting Options for Power
For every potential investor in Power, whether a beginner or expert, Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Power Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Power. Basic forecasting techniques help filter out the noise by identifying Power's price trends.Power Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Power stock to make a market-neutral strategy. Peer analysis of Power could also be used in its relative valuation, which is a method of valuing Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Power Market Strength Events
Market strength indicators help investors to evaluate how Power stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Power shares will generate the highest return on investment. By undertsting and applying Power stock market strength indicators, traders can identify Power entry and exit signals to maximize returns.
| Accumulation Distribution | 33760.11 | |||
| Daily Balance Of Power | (0.59) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 70.1 | |||
| Day Typical Price | 70.06 | |||
| Price Action Indicator | (0.52) | |||
| Period Momentum Indicator | (0.78) |
Power Risk Indicators
The analysis of Power's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting power stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8296 | |||
| Semi Deviation | 0.815 | |||
| Standard Deviation | 1.04 | |||
| Variance | 1.09 | |||
| Downside Variance | 1.11 | |||
| Semi Variance | 0.6643 | |||
| Expected Short fall | (0.91) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.
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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 | 652 M | |
| Cash And Short Term Investments | 27.7 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.