CO2 Energy Stock Forecast - Naive Prediction
| NOEM Stock | 10.31 0.05 0.48% |
The Naive Prediction forecasted value of CO2 Energy Transition on the next trading day is expected to be 10.34 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.27. CO2 Stock Forecast is based on your current time horizon. Although CO2 Energy's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of CO2 Energy's systematic risk associated with finding meaningful patterns of CO2 Energy fundamentals over time.
At this time, CO2 Energy's Liabilities And Stockholders Equity is very stable compared to the past year. As of the 24th of December 2025, Total Liabilities is likely to grow to about 2.6 M, while Total Current Liabilities is likely to drop about 404.9 K. CO2 Energy Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the CO2 Energy's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2010-12-31 | Previous Quarter 953.1 K | Current Value 1 M | Quarterly Volatility 333.7 K |
CO2 Energy Naive Prediction Price Forecast For the 25th of December
Given 90 days horizon, the Naive Prediction forecasted value of CO2 Energy Transition on the next trading day is expected to be 10.34 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0008, and the sum of the absolute errors of 1.27.Please note that although there have been many attempts to predict CO2 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 CO2 Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CO2 Energy Stock Forecast Pattern
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CO2 Energy Forecasted Value
In the context of forecasting CO2 Energy'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. CO2 Energy's downside and upside margins for the forecasting period are 10.13 and 10.55, respectively. We have considered CO2 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of CO2 Energy stock data series using in forecasting. Note that when a statistical model is used to represent CO2 Energy 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 | 110.9963 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0209 |
| MAPE | Mean absolute percentage error | 0.002 |
| SAE | Sum of the absolute errors | 1.2736 |
Predictive Modules for CO2 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 CO2 Energy Transition. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CO2 Energy'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.
Other Forecasting Options for CO2 Energy
For every potential investor in CO2, whether a beginner or expert, CO2 Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CO2 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CO2. Basic forecasting techniques help filter out the noise by identifying CO2 Energy's price trends.CO2 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 CO2 Energy stock to make a market-neutral strategy. Peer analysis of CO2 Energy could also be used in its relative valuation, which is a method of valuing CO2 Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CO2 Energy Transition Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of CO2 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 CO2 Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CO2 Energy Market Strength Events
Market strength indicators help investors to evaluate how CO2 Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CO2 Energy shares will generate the highest return on investment. By undertsting and applying CO2 Energy stock market strength indicators, traders can identify CO2 Energy Transition entry and exit signals to maximize returns.
CO2 Energy Risk Indicators
The analysis of CO2 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 CO2 Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting co2 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 | 0.1067 | |||
| Standard Deviation | 0.2069 | |||
| Variance | 0.0428 | |||
| Downside Variance | 0.0968 | |||
| Semi Variance | (0.0006) | |||
| Expected Short fall | (0.34) |
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.
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Is Oil, Gas & Consumable Fuels space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of CO2 Energy. If investors know CO2 will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about CO2 Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of CO2 Energy Transition is measured differently than its book value, which is the value of CO2 that is recorded on the company's balance sheet. Investors also form their own opinion of CO2 Energy's value that differs from its market value or its book value, called intrinsic value, which is CO2 Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because CO2 Energy's market value can be influenced by many factors that don't directly affect CO2 Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between CO2 Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if CO2 Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CO2 Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.