Agrometal SAI (Argentina) Technical Analysis
AGRO Stock | ARS 66.20 1.10 1.63% |
As of the 18th of January 2025, Agrometal SAI shows the Risk Adjusted Performance of 0.0912, downside deviation of 2.9, and Mean Deviation of 2.88. Agrometal SAI technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Agrometal SAI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Agrometal, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AgrometalAgrometal |
Agrometal SAI 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.
Agrometal SAI Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Agrometal SAI volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Agrometal SAI Trend Analysis
Use this graph to draw trend lines for Agrometal SAI. You can use it to identify possible trend reversals for Agrometal SAI 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 Agrometal SAI price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Agrometal SAI Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Agrometal SAI applied against its price change over selected period. The best fit line has a slop of 0.37 , which means Agrometal SAI will continue generating value for investors. It has 122 observation points and a regression sum of squares at 5216.7, which is the sum of squared deviations for the predicted Agrometal SAI price change compared to its average price change.About Agrometal SAI 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 Agrometal SAI 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 Agrometal SAI based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Agrometal SAI price pattern first instead of the macroeconomic environment surrounding Agrometal SAI. By analyzing Agrometal SAI'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 Agrometal SAI'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 Agrometal SAI specific price patterns or momentum indicators. Please read more on our technical analysis page.
Agrometal SAI January 18, 2025 Technical Indicators
Most technical analysis of Agrometal 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 Agrometal from various momentum indicators to cycle indicators. When you analyze Agrometal 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 | 0.0912 | |||
Market Risk Adjusted Performance | (0.42) | |||
Mean Deviation | 2.88 | |||
Semi Deviation | 2.59 | |||
Downside Deviation | 2.9 | |||
Coefficient Of Variation | 1001.24 | |||
Standard Deviation | 3.62 | |||
Variance | 13.08 | |||
Information Ratio | 0.0917 | |||
Jensen Alpha | 0.3674 | |||
Total Risk Alpha | 0.266 | |||
Sortino Ratio | 0.1142 | |||
Treynor Ratio | (0.43) | |||
Maximum Drawdown | 16.31 | |||
Value At Risk | (4.40) | |||
Potential Upside | 6.79 | |||
Downside Variance | 8.43 | |||
Semi Variance | 6.73 | |||
Expected Short fall | (3.62) | |||
Skewness | 0.6515 | |||
Kurtosis | (0.13) |
Complementary Tools for Agrometal Stock analysis
When running Agrometal SAI's price analysis, check to measure Agrometal SAI'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 Agrometal SAI is operating at the current time. Most of Agrometal SAI's value examination focuses on studying past and present price action to predict the probability of Agrometal SAI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agrometal SAI's price. Additionally, you may evaluate how the addition of Agrometal SAI to your portfolios can decrease your overall portfolio volatility.
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