Aston Martin Lagonda Stock Technical Analysis
AMGDF Stock | USD 1.50 0.06 4.17% |
As of the 26th of February, Aston Martin shows the Risk Adjusted Performance of 0.0558, mean deviation of 3.05, and Downside Deviation of 5.28. Aston Martin Lagonda 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. Please confirm Aston Martin Lagonda treynor ratio, as well as the relationship between the potential upside and expected short fall to decide if Aston Martin Lagonda is priced correctly, providing market reflects its regular price of 1.5 per share. Please also double-check Aston Martin Lagonda total risk alpha, which is currently at 0.248 to validate the company can sustain itself at a future point.
Aston Martin Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Aston, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AstonAston |
Aston Martin technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Aston Martin Lagonda Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Aston Martin Lagonda volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Aston Martin Lagonda Trend Analysis
Use this graph to draw trend lines for Aston Martin Lagonda. You can use it to identify possible trend reversals for Aston Martin 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 Aston Martin price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Aston Martin Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Aston Martin Lagonda applied against its price change over selected period. The best fit line has a slop of 0.0007 , which means Aston Martin Lagonda will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.02, which is the sum of squared deviations for the predicted Aston Martin price change compared to its average price change.About Aston Martin 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 Aston Martin Lagonda 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 Aston Martin Lagonda based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Aston Martin Lagonda price pattern first instead of the macroeconomic environment surrounding Aston Martin Lagonda. By analyzing Aston Martin'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 Aston Martin'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 Aston Martin specific price patterns or momentum indicators. Please read more on our technical analysis page.
Aston Martin February 26, 2025 Technical Indicators
Most technical analysis of Aston 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 Aston from various momentum indicators to cycle indicators. When you analyze Aston 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 | 0.0558 | |||
Market Risk Adjusted Performance | 1.24 | |||
Mean Deviation | 3.05 | |||
Semi Deviation | 3.58 | |||
Downside Deviation | 5.28 | |||
Coefficient Of Variation | 1549.42 | |||
Standard Deviation | 4.46 | |||
Variance | 19.92 | |||
Information Ratio | 0.0612 | |||
Jensen Alpha | 0.277 | |||
Total Risk Alpha | 0.248 | |||
Sortino Ratio | 0.0518 | |||
Treynor Ratio | 1.23 | |||
Maximum Drawdown | 24.72 | |||
Value At Risk | (7.09) | |||
Potential Upside | 7.2 | |||
Downside Variance | 27.83 | |||
Semi Variance | 12.84 | |||
Expected Short fall | (4.38) | |||
Skewness | 0.4525 | |||
Kurtosis | 1.39 |
Complementary Tools for Aston Pink Sheet analysis
When running Aston Martin's price analysis, check to measure Aston Martin'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 Aston Martin is operating at the current time. Most of Aston Martin's value examination focuses on studying past and present price action to predict the probability of Aston Martin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aston Martin's price. Additionally, you may evaluate how the addition of Aston Martin to your portfolios can decrease your overall portfolio volatility.
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