Green Shift Commodities Stock Technical Analysis
| GRCMF Stock | 0.04 0 4.87% |
Green Shift Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Green, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GreenGreen |
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.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Green Shift on December 3, 2025 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.
| Downside Deviation | 13.54 | |||
| Information Ratio | 0.133 | |||
| Maximum Drawdown | 73.48 | |||
| Value At Risk | (13.93) | |||
| Potential Upside | 22.95 |
Green Shift Market Risk Indicators
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.| Risk Adjusted Performance | 0.1157 | |||
| Jensen Alpha | 1.77 | |||
| Total Risk Alpha | 0.6259 | |||
| Sortino Ratio | 0.1357 | |||
| Treynor Ratio | 0.9965 |
Green Shift March 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1157 | |||
| Market Risk Adjusted Performance | 1.01 | |||
| Mean Deviation | 7.9 | |||
| Semi Deviation | 7.43 | |||
| Downside Deviation | 13.54 | |||
| Coefficient Of Variation | 720.05 | |||
| Standard Deviation | 13.81 | |||
| Variance | 190.72 | |||
| Information Ratio | 0.133 | |||
| Jensen Alpha | 1.77 | |||
| Total Risk Alpha | 0.6259 | |||
| Sortino Ratio | 0.1357 | |||
| Treynor Ratio | 0.9965 | |||
| Maximum Drawdown | 73.48 | |||
| Value At Risk | (13.93) | |||
| Potential Upside | 22.95 | |||
| Downside Variance | 183.27 | |||
| Semi Variance | 55.17 | |||
| Expected Short fall | (14.41) | |||
| Skewness | 1.96 | |||
| Kurtosis | 7.22 |
Green Shift Commodities Backtested Returns
Green Shift Commodities holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.92% are justified by taking the suggested risk. Use Green Shift Commodities Market Risk Adjusted Performance of 1.01, risk adjusted performance of 0.1157, and Downside Deviation of 13.54 to evaluate company specific risk that cannot be diversified away. Green Shift holds a performance score of 11 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of 1.91, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Green Shift will likely underperform. Use Green Shift Commodities information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to analyze future returns on Green Shift Commodities.
Auto-correlation | -0.25 |
Weak reverse predictability
Green Shift Commodities has weak reverse predictability. Overlapping area represents the amount of predictability between Green Shift time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 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 Shift Commodities price movement. The serial correlation of -0.25 indicates that over 25.0% of current Green Shift price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Green Shift technical otc 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, otc market cycles, or different charting patterns.
Green Shift Commodities Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Green Shift Commodities across different markets.
Green Shift March 3, 2026 Technical Indicators
Most technical analysis of Green help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Green from various momentum indicators to cycle indicators. When you analyze Green charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1157 | |||
| Market Risk Adjusted Performance | 1.01 | |||
| Mean Deviation | 7.9 | |||
| Semi Deviation | 7.43 | |||
| Downside Deviation | 13.54 | |||
| Coefficient Of Variation | 720.05 | |||
| Standard Deviation | 13.81 | |||
| Variance | 190.72 | |||
| Information Ratio | 0.133 | |||
| Jensen Alpha | 1.77 | |||
| Total Risk Alpha | 0.6259 | |||
| Sortino Ratio | 0.1357 | |||
| Treynor Ratio | 0.9965 | |||
| Maximum Drawdown | 73.48 | |||
| Value At Risk | (13.93) | |||
| Potential Upside | 22.95 | |||
| Downside Variance | 183.27 | |||
| Semi Variance | 55.17 | |||
| Expected Short fall | (14.41) | |||
| Skewness | 1.96 | |||
| Kurtosis | 7.22 |
Green Shift March 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Green stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 0.04 | ||
| Day Typical Price | 0.04 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Green OTC Stock analysis
When running Green Shift's price analysis, check to measure Green Shift's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Green Shift is operating at the current time. Most of Green Shift's value examination focuses on studying past and present price action to predict the probability of Green Shift's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Shift's price. Additionally, you may evaluate how the addition of Green Shift to your portfolios can decrease your overall portfolio volatility.
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