Agha Steel (Pakistan) Technical Analysis
| AGHA Stock | 9.84 0.07 0.71% |
Agha Steel Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Agha, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AghaAgha |
Agha Steel 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.
Agha Steel Industries Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Agha Steel Industries volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Agha Steel Industries Trend Analysis
Use this graph to draw trend lines for Agha Steel Industries. You can use it to identify possible trend reversals for Agha Steel 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 Agha Steel price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Agha Steel Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Agha Steel Industries applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Agha Steel Industries market price will keep on failing further. It has 122 observation points and a regression sum of squares at 4.31, which is the sum of squared deviations for the predicted Agha Steel price change compared to its average price change.Agha Steel February 2, 2025 Technical Indicators
Most technical analysis of Agha 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 Agha from various momentum indicators to cycle indicators. When you analyze Agha 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 | (0.08) | |||
| Market Risk Adjusted Performance | 1.9 | |||
| Mean Deviation | 1.93 | |||
| Coefficient Of Variation | (948.59) | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.87 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 1.89 | |||
| Maximum Drawdown | 13.72 | |||
| Value At Risk | (4.70) | |||
| Potential Upside | 3.75 | |||
| Skewness | (0.52) | |||
| Kurtosis | 2.61 |
Complementary Tools for Agha Stock analysis
When running Agha Steel's price analysis, check to measure Agha Steel'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 Agha Steel is operating at the current time. Most of Agha Steel's value examination focuses on studying past and present price action to predict the probability of Agha Steel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agha Steel's price. Additionally, you may evaluate how the addition of Agha Steel to your portfolios can decrease your overall portfolio volatility.
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