Ally Financial (Germany) Technical Analysis
GMZ Stock | EUR 34.49 0.07 0.20% |
As of the 12th of January 2025, Ally Financial shows the Downside Deviation of 1.63, mean deviation of 1.42, and Risk Adjusted Performance of 0.0782. Ally Financial 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 Ally Financial standard deviation, treynor ratio, downside variance, as well as the relationship between the information ratio and value at risk to decide if Ally Financial is priced correctly, providing market reflects its regular price of 34.49 per share.
Ally Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ally, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AllyAlly |
Ally Financial 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.
Ally Financial Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Ally Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Ally Financial Trend Analysis
Use this graph to draw trend lines for Ally Financial. You can use it to identify possible trend reversals for Ally Financial 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 Ally Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ally Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ally Financial applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Ally Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 126.38, which is the sum of squared deviations for the predicted Ally Financial price change compared to its average price change.About Ally Financial 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 Ally Financial 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 Ally Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Ally Financial price pattern first instead of the macroeconomic environment surrounding Ally Financial. By analyzing Ally Financial'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 Ally Financial'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 Ally Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ally Financial January 12, 2025 Technical Indicators
Most technical analysis of Ally 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 Ally from various momentum indicators to cycle indicators. When you analyze Ally 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 | 0.0782 | |||
Market Risk Adjusted Performance | (9.28) | |||
Mean Deviation | 1.42 | |||
Semi Deviation | 1.43 | |||
Downside Deviation | 1.63 | |||
Coefficient Of Variation | 1142.36 | |||
Standard Deviation | 2.2 | |||
Variance | 4.86 | |||
Information Ratio | 0.0884 | |||
Jensen Alpha | 0.1827 | |||
Total Risk Alpha | 0.2146 | |||
Sortino Ratio | 0.1198 | |||
Treynor Ratio | (9.29) | |||
Maximum Drawdown | 15.95 | |||
Value At Risk | (2.14) | |||
Potential Upside | 3.62 | |||
Downside Variance | 2.64 | |||
Semi Variance | 2.04 | |||
Expected Short fall | (1.74) | |||
Skewness | 1.71 | |||
Kurtosis | 7.13 |
Complementary Tools for Ally Stock analysis
When running Ally Financial's price analysis, check to measure Ally Financial'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 Ally Financial is operating at the current time. Most of Ally Financial's value examination focuses on studying past and present price action to predict the probability of Ally Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ally Financial's price. Additionally, you may evaluate how the addition of Ally Financial to your portfolios can decrease your overall portfolio volatility.
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