Green Shift's market value is the price at which a share of Green Shift trades on a public exchange. It measures the collective expectations of Green Shift Commodities investors about its performance. Green Shift is trading at 0.0214 as of the 15th of March 2025. This is a 14.74% down since the beginning of the trading day. The stock's lowest day price was 0.0214. With this module, you can estimate the performance of a buy and hold strategy of Green Shift Commodities and determine expected loss or profit from investing in Green Shift over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in population.
Symbol
Green
Green Shift '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 Shift's otc 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 Shift.
0.00
12/15/2024
No Change 0.00
0.0
In 3 months and 1 day
03/15/2025
0.00
If you would invest 0.00 in Green Shift on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Green Shift Commodities or generate 0.0% return on investment in Green Shift over 90 days.
Green Shift 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 Shift's otc 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 Shift Commodities upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Green Shift's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Green Shift's standard deviation. In reality, there are many statistical measures that can use Green Shift historical prices to predict the future Green Shift's volatility.
Green Shift Commodities holds Efficiency (Sharpe) Ratio of 0.0194, which attests that the entity had a 0.0194 % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Green Shift Commodities, which you can use to evaluate the volatility of the firm. Please check out Green Shift's Standard Deviation of 10.09, risk adjusted performance of (0.01), and Market Risk Adjusted Performance of (1.70) to validate if the risk estimate we provide is consistent with the expected return of 0.19%. Green Shift has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Green Shift's returns are expected to increase less than the market. However, during the bear market, the loss of holding Green Shift is expected to be smaller as well. Green Shift Commodities right now retains a risk of 9.98%. Please check out Green Shift information ratio and the relationship between the potential upside and period momentum indicator , to decide if Green Shift will be following its current trending patterns.
Auto-correlation
0.43
Average predictability
Green Shift Commodities has average predictability. Overlapping area represents the amount of predictability between Green Shift time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. 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 Shift Commodities price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Green Shift price fluctuation can be explain by its past prices.
Correlation Coefficient
0.43
Spearman Rank Test
0.41
Residual Average
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Price Variance
0.0
Green Shift Commodities lagged returns against current returns
Autocorrelation, which is Green Shift otc 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 Shift's otc stock expected returns. We can calculate the autocorrelation of Green Shift returns to help us make a trade decision. For example, suppose you find that Green Shift has exhibited high autocorrelation historically, and you observe that the otc 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 Shift 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 Shift otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Green Shift otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Green Shift otc stock over time.
Current vs Lagged Prices
Timeline
Green Shift Lagged Returns
When evaluating Green Shift's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Green Shift otc stock have on its future price. Green Shift 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 Shift autocorrelation shows the relationship between Green Shift otc stock current value and its past values and can show if there is a momentum factor associated with investing in Green Shift Commodities.