Power Fi Preferred Stock Forward View - Simple Exponential Smoothing
| PWF-PP Preferred Stock | CAD 19.92 0.07 0.35% |
Power Preferred Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Power Fi stock prices and determine the direction of Power Fi 440's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Power Fi's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today, The value of RSI of Power Fi's share price is at 58 indicating that the preferred stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Power Fi, making its price go up or down. Momentum 58
Buy Extended
Oversold | Overbought |
Using Power Fi hype-based prediction, you can estimate the value of Power Fi 440 from the perspective of Power Fi response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Power Fi 440 on the next trading day is expected to be 19.87 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 8.00. Power Fi after-hype prediction price | CAD 19.85 |
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 preferred stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Power |
Power Fi 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 Fi Simple Exponential Smoothing Price Forecast For the 24th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Power Fi 440 on the next trading day is expected to be 19.87 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.09, and the sum of the absolute errors of 8.00.Please note that although there have been many attempts to predict Power Preferred Stock prices using its time series forecasting, we generally do not suggest 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 Fi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Power Fi Preferred Stock Forecast Pattern
| Backtest Power Fi | Power Fi Price Prediction | Research Analysis |
Power Fi Forecasted Value
In the context of forecasting Power Fi's Preferred 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 Fi's downside and upside margins for the forecasting period are 18.14 and 21.60, respectively. We have considered Power Fi'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Power Fi preferred stock data series using in forecasting. Note that when a statistical model is used to represent Power Fi preferred 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 | 113.8899 |
| Bias | Arithmetic mean of the errors | -0.0563 |
| MAD | Mean absolute deviation | 0.1333 |
| MAPE | Mean absolute percentage error | 0.0067 |
| SAE | Sum of the absolute errors | 7.9966 |
Predictive Modules for Power Fi
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 Fi 440. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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 Fi After-Hype Price Density Analysis
As far as predicting the price of Power Fi 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 Fi 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 Preferred Stock prices, such as prices of Power Fi, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Power Fi Estimiated After-Hype Price Volatility
In the context of predicting Power Fi's preferred stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Power Fi's historical news coverage. Power Fi's after-hype downside and upside margins for the prediction period are 18.12 and 21.58, respectively. We have considered Power Fi'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Power Fi is very steady at this time. Analysis and calculation of next after-hype price of Power Fi 440 is based on 3 months time horizon.
Power Fi Preferred Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Power Fi is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Power Fi 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 Preferred 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 Fi, 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 | 1.73 | 0.00 | 0.01 | 0 Events / Month | 1 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
19.92 | 19.85 | 0.00 |
|
Power Fi Hype Timeline
Power Fi 440 is at this time traded for 19.92on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Power is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.17%. %. The volatility of related hype on Power Fi is about 5766.67%, with the expected price after the next announcement by competition of 19.93. About 37.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 9th of January 330230. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Power Fi to cross-verify your projections.Power Fi Related Hype Analysis
Having access to credible news sources related to Power Fi's direct competition is more important than ever and may enhance your ability to predict Power Fi's future price movements. Getting to know how Power Fi'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 Fi may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RIGE | Russell Investments Global | 0.00 | 7 per month | 0.00 | (0.02) | 0.74 | 0.00 | 4.41 | |
| SNI-PR-A | Sonor Investments Limited | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 0.00 | |
| CGI | Canadian General Investments | 0.19 | 5 per month | 0.55 | 0.13 | 1.65 | (1.14) | 4.60 | |
| UPT-P | Upstart Investments | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| KUAI-P | Kua Investments | 0.00 | 2 per month | 0.00 | (0.17) | 0.00 | 0.00 | 12.50 | |
| ET | Evertz Technologies Limited | (0.01) | 3 per month | 0.43 | 0.23 | 2.26 | (1.38) | 15.34 | |
| EVT | Economic Investment Trust | 0.06 | 7 per month | 0.61 | 0.14 | 2.70 | (1.67) | 7.15 | |
| BRN-PA | Brookfield Investments | 0.00 | 2 per month | 0.75 | (0.08) | 0.60 | (1.26) | 3.94 |
Other Forecasting Options for Power Fi
For every potential investor in Power, whether a beginner or expert, Power Fi's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Power Preferred 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 Fi's price trends.Power Fi 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 Fi preferred stock to make a market-neutral strategy. Peer analysis of Power Fi could also be used in its relative valuation, which is a method of valuing Power Fi by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Power Fi Market Strength Events
Market strength indicators help investors to evaluate how Power Fi preferred 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 Fi shares will generate the highest return on investment. By undertsting and applying Power Fi preferred stock market strength indicators, traders can identify Power Fi 440 entry and exit signals to maximize returns.
Power Fi Risk Indicators
The analysis of Power Fi'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 Fi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting power preferred 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 | 0.7375 | |||
| Semi Deviation | 0.9709 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.87 | |||
| Downside Variance | 1.88 | |||
| Semi Variance | 0.9426 | |||
| Expected Short fall | (1.02) |
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 Fi
The number of cover stories for Power Fi depends on current market conditions and Power Fi'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 Fi 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 Fi'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
Story Categories
Currently Trending Categories
Other Information on Investing in Power Preferred Stock
Power Fi financial ratios help investors to determine whether Power Preferred 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 Fi security.