Greystone Logistics Stock Technical Analysis
| GLGI Stock | USD 1.05 0.01 0.96% |
As of the 21st of January, Greystone Logistics retains the Risk Adjusted Performance of (0.09), standard deviation of 3.78, and Market Risk Adjusted Performance of 0.3606. Greystone Logistics technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Simply put, you can use this information to find out if the firm will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to analyze and collect data for thirteen technical drivers for Greystone Logistics, which can be compared to its competitors.
Greystone Logistics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Greystone, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GreystoneGreystone |
Greystone Logistics 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.
Greystone Logistics Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Greystone Logistics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Greystone Logistics Trend Analysis
Use this graph to draw trend lines for Greystone Logistics. You can use it to identify possible trend reversals for Greystone Logistics as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Greystone Logistics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Greystone Logistics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Greystone Logistics applied against its price change over selected period. The best fit line has a slop of 0.001 , which may suggest that Greystone Logistics market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted Greystone Logistics price change compared to its average price change.About Greystone Logistics Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Greystone Logistics on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Greystone Logistics based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Greystone Logistics price pattern first instead of the macroeconomic environment surrounding Greystone Logistics. By analyzing Greystone Logistics's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Greystone Logistics's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Greystone Logistics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Greystone Logistics January 21, 2025 Technical Indicators
Most technical analysis of Greystone 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 Greystone from various momentum indicators to cycle indicators. When you analyze Greystone 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 | (0.09) | |||
| Market Risk Adjusted Performance | 0.3606 | |||
| Mean Deviation | 2.86 | |||
| Coefficient Of Variation | (886.27) | |||
| Standard Deviation | 3.78 | |||
| Variance | 14.26 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | 0.3506 | |||
| Maximum Drawdown | 17.18 | |||
| Value At Risk | (6.48) | |||
| Potential Upside | 4.41 | |||
| Skewness | (0.79) | |||
| Kurtosis | 0.9194 |
Complementary Tools for Greystone OTC Stock analysis
When running Greystone Logistics' price analysis, check to measure Greystone Logistics' 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 Greystone Logistics is operating at the current time. Most of Greystone Logistics' value examination focuses on studying past and present price action to predict the probability of Greystone Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greystone Logistics' price. Additionally, you may evaluate how the addition of Greystone Logistics to your portfolios can decrease your overall portfolio volatility.
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