Critical Elements OTC Stock Forecast - Polynomial Regression
| CRECF Stock | USD 0.40 0.04 11.11% |
The Polynomial Regression forecasted value of Critical Elements on the next trading day is expected to be 0.39 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.61. Critical OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Critical Elements' historical fundamentals, such as revenue growth or operating cash flow patterns.
The value of RSI of Critical Elements' otc stock price is roughly 67 suggesting that the otc stock is rather overbought by investors as of 22nd of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Critical, making its price go up or down. Momentum 67
Buy Stretched
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 Critical Elements based on different types of headlines from major news networks to social media. Using Critical Elements hype-based prediction, you can estimate the value of Critical Elements from the perspective of Critical Elements response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Critical Elements on the next trading day is expected to be 0.39 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.61. Critical Elements after-hype prediction price | USD 0.4 |
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.
Critical |
Critical Elements Additional Predictive Modules
Most predictive techniques to examine Critical price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Critical using various technical indicators. When you analyze Critical 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 |
Critical Elements Polynomial Regression Price Forecast For the 23rd of January
Given 90 days horizon, the Polynomial Regression forecasted value of Critical Elements on the next trading day is expected to be 0.39 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.61.Please note that although there have been many attempts to predict Critical 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 Critical Elements' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Critical Elements OTC Stock Forecast Pattern
| Backtest Critical Elements | Critical Elements Price Prediction | Buy or Sell Advice |
Critical Elements Forecasted Value
In the context of forecasting Critical Elements' 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. Critical Elements' downside and upside margins for the forecasting period are 0 and 4.54, respectively. We have considered Critical Elements' 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 Critical Elements otc stock data series using in forecasting. Note that when a statistical model is used to represent Critical Elements 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 | 109.3435 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.01 |
| MAPE | Mean absolute percentage error | 0.0337 |
| SAE | Sum of the absolute errors | 0.6094 |
Predictive Modules for Critical Elements
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Critical Elements. 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 Critical Elements' 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.
Critical Elements After-Hype Price Prediction Density Analysis
As far as predicting the price of Critical Elements 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 Critical Elements 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 Critical Elements, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Critical Elements Estimiated After-Hype Price Volatility
In the context of predicting Critical Elements' otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Critical Elements' historical news coverage. Critical Elements' after-hype downside and upside margins for the prediction period are 0.02 and 4.55, respectively. We have considered Critical Elements' 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
Critical Elements is out of control at this time. Analysis and calculation of next after-hype price of Critical Elements is based on 3 months time horizon.
Critical Elements OTC Stock Price Prediction Analysis
Have you ever been surprised when a price of a OTC Stock such as Critical Elements is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Critical Elements 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 Critical Elements, 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 |
0.35 | 4.15 | 0.00 | 0.00 | 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 | ||
0.40 | 0.40 | 0.00 |
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Critical Elements Hype Timeline
Critical Elements is currently traded for 0.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Critical 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 currently at 0.35%. %. The volatility of related hype on Critical Elements is about 0.0%, with the expected price after the next announcement by competition of 0.40. The company recorded a loss per share of 0.02. Critical Elements had not issued any dividends in recent years. Assuming the 90 days horizon the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Critical Elements to cross-verify your projections.Critical Elements Related Hype Analysis
Having access to credible news sources related to Critical Elements' direct competition is more important than ever and may enhance your ability to predict Critical Elements' future price movements. Getting to know how Critical Elements' 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 Critical Elements may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PGEZF | Group Ten Metals | 0.00 | 0 per month | 5.75 | 0.10 | 13.04 | (11.11) | 36.84 | |
| PMMCF | Pampa Metals | 0.00 | 0 per month | 3.85 | 0.19 | 10.71 | (6.45) | 23.37 | |
| CUAUF | C3 Metals | 0.00 | 0 per month | 4.58 | 0.04 | 7.50 | (4.21) | 35.05 | |
| DFMTF | Defense Metals Corp | 0.00 | 0 per month | 4.85 | (0) | 10.53 | (11.11) | 28.64 | |
| POROF | Panoro Minerals | 0.00 | 0 per month | 4.82 | 0.02 | 11.54 | (12.50) | 29.95 | |
| WLBMF | Wallbridge Mining | 0.00 | 0 per month | 5.33 | 0.04 | 16.67 | (14.29) | 36.67 | |
| SRGMF | SRG Mining | 0.00 | 0 per month | 0.00 | (0.16) | 0.00 | 0.00 | 47.37 | |
| RCKTF | Rock Tech Lithium | 0.00 | 0 per month | 2.72 | 0.04 | 7.02 | (3.92) | 18.78 | |
| ARSMF | Ares Strategic Mining | 0.00 | 0 per month | 2.80 | 0.13 | 11.11 | (5.71) | 42.13 | |
| AGXPF | Silver X Mining | 0.00 | 0 per month | 4.81 | 0.21 | 13.33 | (7.50) | 22.30 |
Other Forecasting Options for Critical Elements
For every potential investor in Critical, whether a beginner or expert, Critical Elements' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Critical OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Critical. Basic forecasting techniques help filter out the noise by identifying Critical Elements' price trends.Critical Elements 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 Critical Elements otc stock to make a market-neutral strategy. Peer analysis of Critical Elements could also be used in its relative valuation, which is a method of valuing Critical Elements by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Critical Elements Market Strength Events
Market strength indicators help investors to evaluate how Critical Elements 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 Critical Elements shares will generate the highest return on investment. By undertsting and applying Critical Elements otc stock market strength indicators, traders can identify Critical Elements entry and exit signals to maximize returns.
Critical Elements Risk Indicators
The analysis of Critical Elements' 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 Critical Elements' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting critical 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 | 2.98 | |||
| Semi Deviation | 3.01 | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.19 | |||
| Downside Variance | 22.68 | |||
| Semi Variance | 9.04 | |||
| Expected Short fall | (5.13) |
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 Critical Elements
The number of cover stories for Critical Elements depends on current market conditions and Critical Elements' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Critical Elements 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 Critical Elements' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Critical OTC Stock
Critical Elements financial ratios help investors to determine whether Critical 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 Critical with respect to the benefits of owning Critical Elements security.