Carnegie Clean OTC Stock Forecast - Simple Exponential Smoothing
| CWGYF Stock | USD 0.05 0.0006 1.24% |
The Simple Exponential Smoothing forecasted value of Carnegie Clean Energy on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.33. Carnegie OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Carnegie Clean's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026, the value of RSI of Carnegie Clean's share price is approaching 47 suggesting that the otc 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 Carnegie Clean, making its price go up or down. Momentum 47
Impartial
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Carnegie Clean based on different types of headlines from major news networks to social media. Using Carnegie Clean hype-based prediction, you can estimate the value of Carnegie Clean Energy from the perspective of Carnegie Clean response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Carnegie Clean Energy on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.33. Carnegie Clean after-hype prediction price | USD 0.05 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Carnegie |
Carnegie Clean Additional Predictive Modules
Most predictive techniques to examine Carnegie price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Carnegie using various technical indicators. When you analyze Carnegie 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 |
Carnegie Clean Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Carnegie Clean Energy on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000052, and the sum of the absolute errors of 0.33.Please note that although there have been many attempts to predict Carnegie OTC 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 Carnegie Clean's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Carnegie Clean OTC Stock Forecast Pattern
| Backtest Carnegie Clean | Carnegie Clean Price Prediction | Buy or Sell Advice |
Carnegie Clean Forecasted Value
In the context of forecasting Carnegie Clean's OTC 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. Carnegie Clean's downside and upside margins for the forecasting period are 0.0005 and 15.42, respectively. We have considered Carnegie Clean'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 Carnegie Clean otc stock data series using in forecasting. Note that when a statistical model is used to represent Carnegie Clean otc 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 | 106.4003 |
| Bias | Arithmetic mean of the errors | 8.0E-4 |
| MAD | Mean absolute deviation | 0.0055 |
| MAPE | Mean absolute percentage error | 0.11 |
| SAE | Sum of the absolute errors | 0.3322 |
Predictive Modules for Carnegie Clean
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Carnegie Clean Energy. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carnegie Clean'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.
Carnegie Clean After-Hype Price Prediction Density Analysis
As far as predicting the price of Carnegie Clean 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 Carnegie Clean 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 OTC Stock prices, such as prices of Carnegie Clean, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Carnegie Clean Estimiated After-Hype Price Volatility
In the context of predicting Carnegie Clean's otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Carnegie Clean's historical news coverage. Carnegie Clean's after-hype downside and upside margins for the prediction period are 0.00 and 15.30, respectively. We have considered Carnegie Clean'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
Carnegie Clean is out of control at this time. Analysis and calculation of next after-hype price of Carnegie Clean Energy is based on 3 months time horizon.
Carnegie Clean OTC Stock Price Prediction Analysis
Have you ever been surprised when a price of a OTC Stock such as Carnegie Clean is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Carnegie Clean 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 OTC 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 Carnegie Clean, 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 |
0.83 | 15.37 | 0.00 | 0.03 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.05 | 0.05 | 5.04 |
|
Carnegie Clean Hype Timeline
Carnegie Clean Energy is currently traded for 0.05. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.03. Carnegie is anticipated to increase in value after the next headline, with the price projected to jump to 0.05 or above. The average volatility of media hype impact on the company the price is insignificant. The price rise on the next news is projected to be 5.04%, whereas the daily expected return is currently at 0.83%. The volatility of related hype on Carnegie Clean is about 36691.33%, with the expected price after the next announcement by competition of 0.02. Carnegie Clean Energy has accumulated about 4.1 M in cash with 960.54 K of positive cash flow from operations. Assuming the 90 days horizon the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Carnegie Clean to cross-verify your projections.Carnegie Clean Related Hype Analysis
Having access to credible news sources related to Carnegie Clean's direct competition is more important than ever and may enhance your ability to predict Carnegie Clean's future price movements. Getting to know how Carnegie Clean'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 Carnegie Clean may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SHUNF | Shunfeng International Clean | 0.00 | 0 per month | 0.00 | (0.14) | 0.00 | 0.00 | 44.74 | |
| CLMOF | Climeon AB | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CLNV | Clean Vision Corp | (0.01) | 1 per month | 0.00 | (0.13) | 9.01 | (13.01) | 39.45 | |
| CETI | NexGen Holdings Corp | 0.00 | 0 per month | 0.00 | (0.08) | 33.33 | (37.50) | 116.30 | |
| AWSL | Atlantic Wind Solar | 0.00 | 0 per month | 0.00 | (0.09) | 24.50 | (22.13) | 69.66 | |
| MPIR | Empire Diversified Energy | 0.00 | 0 per month | 0.00 | 0.04 | 0.00 | (18.18) | 150.00 | |
| CNQQF | Clean Teq Water | (0.22) | 1 per month | 19.31 | 0.18 | 20.00 | (19.23) | 2,698 | |
| RROYF | RE Royalties | (0.19) | 2 per month | 3.55 | 0.03 | 9.52 | (10.53) | 37.19 | |
| SMAYF | SIMEC Atlantis Energy | 0.00 | 0 per month | 0.00 | 0.05 | 23.91 | (2.75) | 101.31 | |
| SUME | Summer Energy Holdings | 0.00 | 0 per month | 0.00 | (0.43) | 0.00 | 0.00 | 2.78 |
Other Forecasting Options for Carnegie Clean
For every potential investor in Carnegie, whether a beginner or expert, Carnegie Clean's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Carnegie OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Carnegie. Basic forecasting techniques help filter out the noise by identifying Carnegie Clean's price trends.Carnegie Clean 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 Carnegie Clean otc stock to make a market-neutral strategy. Peer analysis of Carnegie Clean could also be used in its relative valuation, which is a method of valuing Carnegie Clean by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Carnegie Clean Market Strength Events
Market strength indicators help investors to evaluate how Carnegie Clean otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Carnegie Clean shares will generate the highest return on investment. By undertsting and applying Carnegie Clean otc stock market strength indicators, traders can identify Carnegie Clean Energy entry and exit signals to maximize returns.
| Accumulation Distribution | 0.048 | |||
| Daily Balance Of Power | (0.25) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 0.0488 | |||
| Day Typical Price | 0.0484 | |||
| Market Facilitation Index | 0.0024 | |||
| Price Action Indicator | (0) | |||
| Period Momentum Indicator | (0.0006) | |||
| Relative Strength Index | 47.84 |
Carnegie Clean Risk Indicators
The analysis of Carnegie Clean'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 Carnegie Clean's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting carnegie otc 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 | 10.91 | |||
| Semi Deviation | 12.43 | |||
| Standard Deviation | 15.11 | |||
| Variance | 228.23 | |||
| Downside Variance | 251.13 | |||
| Semi Variance | 154.47 | |||
| Expected Short fall | (15.36) |
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 Carnegie Clean
The number of cover stories for Carnegie Clean depends on current market conditions and Carnegie Clean's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Carnegie Clean 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 Carnegie Clean'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 Carnegie OTC Stock
Carnegie Clean financial ratios help investors to determine whether Carnegie OTC 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 Carnegie with respect to the benefits of owning Carnegie Clean security.