Sustainable Power Stock Forecast - Polynomial Regression
| PWI Stock | 11.64 0.14 1.22% |
Sustainable Stock outlook is based on your current time horizon. Although Sustainable 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 Sustainable Power's systematic risk associated with finding meaningful patterns of Sustainable Power fundamentals over time.
The relative strength index (RSI) of Sustainable Power's share price is above 70 as of today indicating that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Sustainable, making its price go up or down. Momentum 70
Buy Stretched
Oversold | Overbought |
Using Sustainable Power hype-based prediction, you can estimate the value of Sustainable Power Infrastructure from the perspective of Sustainable Power response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Sustainable Power Infrastructure on the next trading day is expected to be 11.67 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.96. Sustainable Power after-hype prediction price | CAD 11.64 |
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.
Sustainable |
Sustainable Power Additional Predictive Modules
Most predictive techniques to examine Sustainable price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sustainable using various technical indicators. When you analyze Sustainable 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 |
Sustainable Power Polynomial Regression Price Forecast For the 29th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Sustainable Power Infrastructure on the next trading day is expected to be 11.67 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.96.Please note that although there have been many attempts to predict Sustainable 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 Sustainable Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sustainable Power Stock Forecast Pattern
| Backtest Sustainable Power | Sustainable Power Price Prediction | Buy or Sell Advice |
Sustainable Power Forecasted Value
In the context of forecasting Sustainable 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. Sustainable Power's downside and upside margins for the forecasting period are 10.39 and 12.96, respectively. We have considered Sustainable 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sustainable Power stock data series using in forecasting. Note that when a statistical model is used to represent Sustainable 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 | 116.0175 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0961 |
| MAPE | Mean absolute percentage error | 0.0093 |
| SAE | Sum of the absolute errors | 5.9564 |
Predictive Modules for Sustainable 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 Sustainable 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.Sustainable Power After-Hype Price Density Analysis
As far as predicting the price of Sustainable 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 Sustainable 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 Sustainable Power, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sustainable Power Estimiated After-Hype Price Volatility
In the context of predicting Sustainable Power's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sustainable Power's historical news coverage. Sustainable Power's after-hype downside and upside margins for the prediction period are 10.34 and 12.94, respectively. We have considered Sustainable 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
Sustainable Power is not too volatile at this time. Analysis and calculation of next after-hype price of Sustainable Power is based on 3 months time horizon.
Sustainable Power Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Sustainable Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sustainable 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 Sustainable 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 |
0.15 | 1.28 | 0.00 | 0.01 | 6 Events / Month | 2 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11.64 | 11.64 | 0.00 |
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Sustainable Power Hype Timeline
Sustainable Power is at this time traded for 11.64on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. Sustainable 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.15%. %. The volatility of related hype on Sustainable Power is about 3723.64%, with the expected price after the next announcement by competition of 11.63. The company has price-to-book ratio of 1.14. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Sustainable Power last dividend was issued on the 31st of December 2025. The entity had 1:4 split on the 16th of August 2002. Assuming the 90 days trading horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of Sustainable Power to cross-verify your projections.Sustainable Power Related Hype Analysis
Having access to credible news sources related to Sustainable Power's direct competition is more important than ever and may enhance your ability to predict Sustainable Power's future price movements. Getting to know how Sustainable 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 Sustainable Power may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XTD | TDb Split Corp | (0.09) | 4 per month | 1.13 | 0.19 | 3.02 | (2.03) | 8.57 | |
| LBI | Lions Bay Capital | (0.09) | 4 per month | 5.75 | 0.13 | 17.86 | (6.25) | 52.38 | |
| BNK | Bankers Petroleum | (0.02) | 1 per month | 1.13 | (0) | 1.84 | (2.09) | 5.41 | |
| MATA | Matador Technologies | (0.03) | 7 per month | 0.00 | (0.04) | 15.79 | (11.11) | 49.04 | |
| DS | Dividend Select 15 | (0.02) | 4 per month | 0.91 | (0) | 1.87 | (1.47) | 6.62 | |
| BIGG | BIGG Digital Assets | (0.01) | 5 per month | 0.00 | (0.09) | 8.33 | (9.09) | 24.29 | |
| ELC | Elysee Development Corp | 0.01 | 7 per month | 2.16 | 0.08 | 6.38 | (3.92) | 13.77 | |
| CBIT | Cathedra Bitcoin | (0.03) | 5 per month | 0.00 | (0.12) | 11.89 | (12.17) | 29.36 |
Other Forecasting Options for Sustainable Power
For every potential investor in Sustainable, whether a beginner or expert, Sustainable Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sustainable Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sustainable. Basic forecasting techniques help filter out the noise by identifying Sustainable Power's price trends.Sustainable 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 Sustainable Power stock to make a market-neutral strategy. Peer analysis of Sustainable Power could also be used in its relative valuation, which is a method of valuing Sustainable Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sustainable Power Market Strength Events
Market strength indicators help investors to evaluate how Sustainable 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 Sustainable Power shares will generate the highest return on investment. By undertsting and applying Sustainable Power stock market strength indicators, traders can identify Sustainable Power Infrastructure entry and exit signals to maximize returns.
Sustainable Power Risk Indicators
The analysis of Sustainable 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 Sustainable Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sustainable 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 | 0.9631 | |||
| Semi Deviation | 0.82 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.7 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 0.6724 | |||
| Expected Short fall | (1.16) |
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 Sustainable Power
The number of cover stories for Sustainable Power depends on current market conditions and Sustainable 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 Sustainable 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 Sustainable 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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Sustainable Power Short Properties
Sustainable Power's future price predictability will typically decrease when Sustainable Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Sustainable Power Infrastructure often depends not only on the future outlook of the potential Sustainable 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. Sustainable Power's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.4 M | |
| Dividends Paid | 2.8 M | |
| Cash And Short Term Investments | 64.7 M | |
| Forward Annual Dividend Rate | 1.2 |
Other Information on Investing in Sustainable Stock
Sustainable Power financial ratios help investors to determine whether Sustainable 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 Sustainable with respect to the benefits of owning Sustainable Power security.