Customers Bancorp Stock Technical Analysis
CUBB Stock | USD 20.00 0.15 0.74% |
As of the 27th of November, Customers Bancorp shows the Downside Deviation of 1.83, mean deviation of 1.15, and Risk Adjusted Performance of 0.042. Customers Bancorp 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.
Customers Bancorp Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Customers, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CustomersCustomers |
Customers Bancorp 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.
Customers Bancorp Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-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 Customers Bancorp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Customers Bancorp Trend Analysis
Use this graph to draw trend lines for Customers Bancorp. You can use it to identify possible trend reversals for Customers Bancorp 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 Customers Bancorp price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Customers Bancorp Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Customers Bancorp applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Customers Bancorp will continue generating value for investors. It has 122 observation points and a regression sum of squares at 12.68, which is the sum of squared deviations for the predicted Customers Bancorp price change compared to its average price change.About Customers Bancorp 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 Customers Bancorp 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 Customers Bancorp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Customers Bancorp price pattern first instead of the macroeconomic environment surrounding Customers Bancorp. By analyzing Customers Bancorp'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 Customers Bancorp'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 Customers Bancorp specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0125 | 0.0139 | 0.024 | 0.0124 | Price To Sales Ratio | 1.11 | 0.76 | 0.89 | 0.85 |
Customers Bancorp November 27, 2024 Technical Indicators
Most technical analysis of Customers 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 Customers from various momentum indicators to cycle indicators. When you analyze Customers 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 | 0.042 | |||
Market Risk Adjusted Performance | (0.47) | |||
Mean Deviation | 1.15 | |||
Semi Deviation | 1.45 | |||
Downside Deviation | 1.83 | |||
Coefficient Of Variation | 2086.67 | |||
Standard Deviation | 1.65 | |||
Variance | 2.74 | |||
Information Ratio | (0.03) | |||
Jensen Alpha | 0.0866 | |||
Total Risk Alpha | (0.19) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | (0.48) | |||
Maximum Drawdown | 8.49 | |||
Value At Risk | (3.33) | |||
Potential Upside | 2.68 | |||
Downside Variance | 3.34 | |||
Semi Variance | 2.11 | |||
Expected Short fall | (1.43) | |||
Skewness | (0.02) | |||
Kurtosis | 1.17 |
Complementary Tools for Customers Stock analysis
When running Customers Bancorp's price analysis, check to measure Customers Bancorp'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 Customers Bancorp is operating at the current time. Most of Customers Bancorp's value examination focuses on studying past and present price action to predict the probability of Customers Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Customers Bancorp's price. Additionally, you may evaluate how the addition of Customers Bancorp to your portfolios can decrease your overall portfolio volatility.
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