Capital Power Stock Forecast - Polynomial Regression

CPX Stock  CAD 59.85  1.05  1.79%   
Capital Stock outlook is based on your current time horizon.
As of today, the value of RSI of Capital Power's share price is approaching 45 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Capital Power, making its price go up or down.

Momentum 45

 Impartial

 
Oversold
 
Overbought
The successful prediction of Capital Power's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Capital Power, which may create opportunities for some arbitrage if properly timed.
Using Capital Power hype-based prediction, you can estimate the value of Capital Power from the perspective of Capital Power response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Capital Power on the next trading day is expected to be 57.56 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 76.98.

Capital Power after-hype prediction price

    
  CAD 59.85  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Capital Power to cross-verify your projections.

Capital Power Additional Predictive Modules

Most predictive techniques to examine Capital price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Capital using various technical indicators. When you analyze Capital 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.
Capital Power polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Capital Power as well as the accuracy indicators are determined from the period prices.

Capital Power Polynomial Regression Price Forecast For the 27th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Capital Power on the next trading day is expected to be 57.56 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.37, and the sum of the absolute errors of 76.98.
Please note that although there have been many attempts to predict Capital 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 Capital Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Capital Power Stock Forecast Pattern

Backtest Capital Power  Capital Power Price Prediction  Buy or Sell Advice  

Capital Power Forecasted Value

In the context of forecasting Capital 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. Capital Power's downside and upside margins for the forecasting period are 55.54 and 59.57, respectively. We have considered Capital 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.
Market Value
59.85
57.56
Expected Value
59.57
Upside

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 Capital Power stock data series using in forecasting. Note that when a statistical model is used to represent Capital 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.
AICAkaike Information Criteria118.9723
BiasArithmetic mean of the errors None
MADMean absolute deviation1.262
MAPEMean absolute percentage error0.0204
SAESum of the absolute errors76.9833
A single variable polynomial regression model attempts to put a curve through the Capital Power historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Capital 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 Capital 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.
Hype
Prediction
LowEstimatedHigh
57.8459.8561.86
Details
Intrinsic
Valuation
LowRealHigh
50.4252.4365.84
Details
Bollinger
Band Projection (param)
LowMiddleHigh
57.0659.0361.00
Details

Capital Power After-Hype Price Density Analysis

As far as predicting the price of Capital 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 Capital 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 Capital Power, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Capital Power Estimiated After-Hype Price Volatility

In the context of predicting Capital Power's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Capital Power's historical news coverage. Capital Power's after-hype downside and upside margins for the prediction period are 57.84 and 61.86, respectively. We have considered Capital 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
59.85
59.85
After-hype Price
61.86
Upside
Capital Power is very steady at this time. Analysis and calculation of next after-hype price of Capital Power is based on 3 months time horizon.

Capital Power Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Capital Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Capital 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 Capital Power, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.23 
2.01
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
59.85
59.85
0.00 
0.00  
Notes

Capital Power Hype Timeline

Capital Power is currently traded for 59.85on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Capital 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 insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at -0.23%. %. The volatility of related hype on Capital Power is about 0.0%, with the expected price after the next announcement by competition of 59.85. About 23.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.82. Some equities with similar Price to Book (P/B) outperform the market in the long run. Capital Power has Price/Earnings To Growth (PEG) ratio of 2.9. The entity last dividend was issued on the 31st of December 2025. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days.
Check out Historical Fundamental Analysis of Capital Power to cross-verify your projections.

Capital Power Related Hype Analysis

Having access to credible news sources related to Capital Power's direct competition is more important than ever and may enhance your ability to predict Capital Power's future price movements. Getting to know how Capital 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 Capital Power may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
ALAAltaGas 0.00 0 per month 0.00 (0.08) 1.69 (1.80) 5.54 
BIP-PEBrookfield Infrastructure Partners 0.00 0 per month 0.43 (0.05) 1.00 (0.84) 3.35 
TATransAlta Corp 0.00 0 per month 0.00 (0.21) 3.24 (5.06) 14.79 
BEP-UNBrookfield Renewable Partners 0.00 0 per month 0.00 (0.15) 2.35 (2.36) 9.24 
EMAEmera Inc 0.00 0 per month 0.73 (0.06) 1.35 (1.10) 4.84 
CUCanadian Utilities Limited 0.00 0 per month 0.37  0.14  1.45 (0.98) 5.01 
BEPCBrookfield Renewable Corp 0.00 0 per month 0.00 (0.15) 2.27 (2.44) 7.47 
ACO-XATCO 0.00 0 per month 0.63  0.11  1.47 (1.09) 4.78 
BIPCBrookfield Infrastructure Corp 0.00 0 per month 1.24 (0.06) 2.15 (2.12) 7.62 
MXGMaxim Power Corp 0.00 0 per month 0.00 (0.07) 1.86 (2.30) 7.68 

Other Forecasting Options for Capital Power

For every potential investor in Capital, whether a beginner or expert, Capital Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Capital Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Capital. Basic forecasting techniques help filter out the noise by identifying Capital Power's price trends.

Capital 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 Capital Power stock to make a market-neutral strategy. Peer analysis of Capital Power could also be used in its relative valuation, which is a method of valuing Capital Power by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Capital Power Market Strength Events

Market strength indicators help investors to evaluate how Capital 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 Capital Power shares will generate the highest return on investment. By undertsting and applying Capital Power stock market strength indicators, traders can identify Capital Power entry and exit signals to maximize returns.

Capital Power Risk Indicators

The analysis of Capital 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 Capital Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capital 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.
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 Capital Power

The number of cover stories for Capital Power depends on current market conditions and Capital 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 Capital 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 Capital 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

Capital Power Short Properties

Capital Power's future price predictability will typically decrease when Capital Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Capital Power often depends not only on the future outlook of the potential Capital 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. Capital Power's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding129.2 M
Cash And Short Term Investments865 M

Other Information on Investing in Capital Stock

Capital Power financial ratios help investors to determine whether Capital 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 Capital with respect to the benefits of owning Capital Power security.