Green Energy Enterprises Stock Market Value
| GYOG Stock | USD 0.0001 0.00 0.000003% |
| Symbol | Green |
Green Energy Enterprises Company Valuation
Is Aerospace & Defense 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 Green Energy. If investors know Green 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 Green 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 Green Energy Enterprises is measured differently than its book value, which is the value of Green that is recorded on the company's balance sheet. Investors also form their own opinion of Green Energy's value that differs from its market value or its book value, called intrinsic value, which is Green 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 Green Energy's market value can be influenced by many factors that don't directly affect Green 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 Green Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Green Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Green 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.
Green Energy 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Green Energy's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Green Energy.
| 07/28/2024 |
| 01/19/2026 |
If you would invest 0.00 in Green Energy on July 28, 2024 and sell it all today you would earn a total of 0.00 from holding Green Energy Enterprises or generate 0.0% return on investment in Green Energy over 540 days. Green Energy is related to or competes with A Sonic. Green Energy Enterprises, Inc. provides integrated aviationaerospace and legal and medical marijuana services More
Green Energy Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Green Energy's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Green Energy Enterprises upside and downside potential and time the market with a certain degree of confidence.
Green Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Green Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Green Energy's standard deviation. In reality, there are many statistical measures that can use Green Energy historical prices to predict the future Green Energy's volatility.Green Energy Enterprises Backtested Returns
We have found four technical indicators for Green Energy Enterprises, which you can use to evaluate the volatility of the firm. Please check out Green Energy's Rate Of Daily Change of 1.0, daily balance of power of (9,223,372,036,855), and Day Median Price of 1.0E-4 to validate if the risk estimate we provide is consistent with the expected return of 0.0%. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Green Energy are completely uncorrelated. Green Energy Enterprises right now retains a risk of 0.0%. Please check out Green Energy daily balance of power , to decide if Green Energy will be following its current trending patterns.
Auto-correlation | -0.01 |
Very weak reverse predictability
Green Energy Enterprises has very weak reverse predictability. Overlapping area represents the amount of predictability between Green Energy time series from 28th of July 2024 to 24th of April 2025 and 24th of April 2025 to 19th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Green Energy Enterprises price movement. The serial correlation of -0.01 indicates that just 1.0% of current Green Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.97 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Green Energy Enterprises lagged returns against current returns
Autocorrelation, which is Green Energy stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Green Energy's stock expected returns. We can calculate the autocorrelation of Green Energy returns to help us make a trade decision. For example, suppose you find that Green Energy has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Green Energy regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Green Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Green Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Green Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Green Energy Lagged Returns
When evaluating Green Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Green Energy stock have on its future price. Green Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Green Energy autocorrelation shows the relationship between Green Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Green Energy Enterprises.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Green Energy Enterprises is a strong investment it is important to analyze Green Energy's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Green Energy's future performance. For an informed investment choice regarding Green Stock, refer to the following important reports:Check out Green Energy Correlation, Green Energy Volatility and Green Energy Alpha and Beta module to complement your research on Green Energy. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Green Energy technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.