Cardinal Energy Pink Sheet Forecast - Polynomial Regression
| CRLFF Stock | USD 6.18 0.23 3.59% |
The Polynomial Regression forecasted value of Cardinal Energy on the next trading day is expected to be 5.99 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.80. Cardinal Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Cardinal Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Cardinal Energy's share price is above 70 as of 6th of January 2026 suggesting that the pink sheet 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 Cardinal, making its price go up or down. Momentum 77
Buy Stretched
Oversold | Overbought |
Using Cardinal Energy hype-based prediction, you can estimate the value of Cardinal Energy from the perspective of Cardinal Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Cardinal Energy on the next trading day is expected to be 5.99 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.80. Cardinal Energy after-hype prediction price | USD 6.18 |
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.
Cardinal |
Cardinal Energy Additional Predictive Modules
Most predictive techniques to examine Cardinal price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Cardinal using various technical indicators. When you analyze Cardinal 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 |
Cardinal Energy Polynomial Regression Price Forecast For the 7th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Cardinal Energy on the next trading day is expected to be 5.99 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.80.Please note that although there have been many attempts to predict Cardinal 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 Cardinal Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Cardinal Energy Pink Sheet Forecast Pattern
| Backtest Cardinal Energy | Cardinal Energy Price Prediction | Buy or Sell Advice |
Cardinal Energy Forecasted Value
In the context of forecasting Cardinal Energy'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. Cardinal Energy's downside and upside margins for the forecasting period are 3.95 and 8.03, respectively. We have considered Cardinal Energy'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 Cardinal Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Cardinal Energy 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.| AIC | Akaike Information Criteria | 116.528 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1419 |
| MAPE | Mean absolute percentage error | 0.0236 |
| SAE | Sum of the absolute errors | 8.7977 |
Predictive Modules for Cardinal Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cardinal Energy. 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.Other Forecasting Options for Cardinal Energy
For every potential investor in Cardinal, whether a beginner or expert, Cardinal Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cardinal Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cardinal. Basic forecasting techniques help filter out the noise by identifying Cardinal Energy's price trends.Cardinal Energy 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 Cardinal Energy pink sheet to make a market-neutral strategy. Peer analysis of Cardinal Energy could also be used in its relative valuation, which is a method of valuing Cardinal Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Cardinal Energy Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Cardinal Energy's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Cardinal Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Cardinal Energy Market Strength Events
Market strength indicators help investors to evaluate how Cardinal Energy 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 Cardinal Energy shares will generate the highest return on investment. By undertsting and applying Cardinal Energy pink sheet market strength indicators, traders can identify Cardinal Energy entry and exit signals to maximize returns.
Cardinal Energy Risk Indicators
The analysis of Cardinal Energy'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 Cardinal Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cardinal 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.
| Mean Deviation | 1.62 | |||
| Semi Deviation | 1.91 | |||
| Standard Deviation | 2.06 | |||
| Variance | 4.25 | |||
| Downside Variance | 4.95 | |||
| Semi Variance | 3.67 | |||
| Expected Short fall | (1.68) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Cardinal Pink Sheet
Cardinal Energy financial ratios help investors to determine whether Cardinal 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 Cardinal with respect to the benefits of owning Cardinal Energy security.