Truist Financial (Germany) Technical Analysis
| BBK Stock | EUR 40.67 0.58 1.41% |
As of the 22nd of December, Truist Financial has the Semi Deviation of 1.34, risk adjusted performance of 0.0595, and Coefficient Of Variation of 1482.76. Truist Financial technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Truist Financial information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Truist Financial is priced more or less accurately, providing market reflects its prevalent price of 40.67 per share.
Truist 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 Truist, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TruistTruist |
Truist 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.
Truist Financial 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 Truist Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Truist Financial Trend Analysis
Use this graph to draw trend lines for Truist Financial. You can use it to identify possible trend reversals for Truist 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 Truist Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Truist Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Truist Financial applied against its price change over selected period. The best fit line has a slop of 0.12 , which means Truist Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 577.26, which is the sum of squared deviations for the predicted Truist Financial price change compared to its average price change.About Truist 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 Truist 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 Truist Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Truist Financial price pattern first instead of the macroeconomic environment surrounding Truist Financial. By analyzing Truist 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 Truist 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 Truist Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Truist Financial December 22, 2024 Technical Indicators
Most technical analysis of Truist 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 Truist from various momentum indicators to cycle indicators. When you analyze Truist 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 | 0.0595 | |||
| Market Risk Adjusted Performance | 0.1013 | |||
| Mean Deviation | 1.42 | |||
| Semi Deviation | 1.34 | |||
| Downside Deviation | 1.43 | |||
| Coefficient Of Variation | 1482.76 | |||
| Standard Deviation | 2.01 | |||
| Variance | 4.04 | |||
| Information Ratio | 0.0514 | |||
| Jensen Alpha | 0.095 | |||
| Total Risk Alpha | 0.0693 | |||
| Sortino Ratio | 0.0721 | |||
| Treynor Ratio | 0.0913 | |||
| Maximum Drawdown | 13.32 | |||
| Value At Risk | (2.61) | |||
| Potential Upside | 2.55 | |||
| Downside Variance | 2.06 | |||
| Semi Variance | 1.81 | |||
| Expected Short fall | (1.87) | |||
| Skewness | 2.03 | |||
| Kurtosis | 9.1 |
Complementary Tools for Truist Stock analysis
When running Truist Financial's price analysis, check to measure Truist 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 Truist Financial is operating at the current time. Most of Truist Financial's value examination focuses on studying past and present price action to predict the probability of Truist 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 Truist Financial's price. Additionally, you may evaluate how the addition of Truist Financial to your portfolios can decrease your overall portfolio volatility.
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