Capital Power Pink Sheet Forecast - Simple Moving Average

CPXWF Stock  USD 42.40  0.24  0.57%   
The Simple Moving Average forecasted value of Capital Power on the next trading day is expected to be 42.40 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 46.95. Capital Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Capital Power's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of Capital Power's share price is below 20 suggesting that the pink sheet 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
The successful prediction of Capital Power's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Capital Power and does not consider all of the tangible or intangible factors available from Capital Power's fundamental data. 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 Simple Moving Average forecasted value of Capital Power on the next trading day is expected to be 42.40 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 46.95.

Capital Power after-hype prediction price

    
  USD 42.6  
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 pink sheet 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.
A two period moving average forecast for Capital Power is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Capital Power Simple Moving Average Price Forecast For the 24th of January

Given 90 days horizon, the Simple Moving Average forecasted value of Capital Power on the next trading day is expected to be 42.40 with a mean absolute deviation of 0.78, mean absolute percentage error of 1.13, and the sum of the absolute errors of 46.95.
Please note that although there have been many attempts to predict Capital Pink Sheet 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 Pink Sheet Forecast Pattern

Backtest Capital PowerCapital Power Price PredictionBuy or Sell Advice 

Capital Power Forecasted Value

In the context of forecasting Capital Power's Pink Sheet 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 40.10 and 44.70, 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
42.40
42.40
Expected Value
44.70
Upside

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 Capital Power pink sheet data series using in forecasting. Note that when a statistical model is used to represent Capital Power pink sheet, 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 Criteria116.3954
BiasArithmetic mean of the errors 0.1811
MADMean absolute deviation0.7824
MAPEMean absolute percentage error0.0174
SAESum of the absolute errors46.945
The simple moving average model is conceptually a linear regression of the current value of Capital Power price series against current and previous (unobserved) value of Capital Power. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

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 pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Capital Power's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
40.3042.6044.90
Details
Intrinsic
Valuation
LowRealHigh
35.0437.3446.64
Details
Bollinger
Band Projection (param)
LowMiddleHigh
41.1543.3745.59
Details

Capital Power After-Hype Price Prediction 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 Pink Sheet 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 pink sheet 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 40.30 and 44.90, 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
42.40
42.60
After-hype Price
44.90
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 Pink Sheet Price Prediction 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 Pink Sheet 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 
2.30
  0.20 
  0.06 
15 Events / Month
4 Events / Month
In about 15 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
42.40
42.60
0.47 
270.59  
Notes

Capital Power Hype Timeline

Capital Power is currently traded for 42.40. The entity has historical hype elasticity of 0.2, and average elasticity to hype of competition of 0.06. Capital is anticipated to increase in value after the next headline, with the price projected to jump to 42.6 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is estimated to be 0.47%, whereas the daily expected return is currently at -0.23%. The volatility of related hype on Capital Power is about 833.33%, with the expected price after the next announcement by competition of 42.46. The company reported the revenue of 1.76 B. Net Income was 98 M with profit before overhead, payroll, taxes, and interest of 939 M. Assuming the 90 days horizon the next anticipated press release will be in about 15 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
EDRVYEDP Renovveis SA 0.00 0 per month 0.00  0.01  0.00  0.00  9.54 
UEPCNUnion Electric 0.00 0 per month 0.00 (0.17) 1.26  0.00  6.07 
FORFFFortis Inc(0.09)18 per month 0.00 (0.04) 0.00  0.00  2.41 
DNNGYOrsted AS ADR 0.00 0 per month 8.75  0.02  4.72 (7.54) 108.22 
DOGEFOrsted AS 0.62 3 per month 3.03  0.02  6.25 (4.64) 17.73 
CLPXYChina Longyuan Power 0.00 0 per month 0.00 (0.09) 3.59 (4.88) 15.11 
EQUEYEquatorial Energia SA(0.09)10 per month 2.78  0.02  7.20 (6.72) 23.84 
ENGGYEnagas SA 0.85 22 per month 1.34 (0.06) 2.03 (2.20) 5.02 
CRPJFChina Resources Power 0.85 2 per month 0.00  0.00  0.00  0.00  0.00 
ATGFFAltaGas 0.62 8 per month 0.00 (0.10) 1.84 (2.19) 5.12 

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 Pink Sheet 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 pink sheet 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 pink sheet 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 pink sheet 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 pink sheet 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

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Other Information on Investing in Capital Pink Sheet

Capital Power financial ratios help investors to determine whether Capital Pink Sheet 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.