Customers Bancorp Stock Technical Analysis
| CUBB Stock | USD 23.50 0.38 1.59% |
As of the 4th of March, Customers Bancorp shows the Downside Deviation of 0.7646, mean deviation of 0.5396, and Risk Adjusted Performance of 0.1686. 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 | Build AI portfolio with Customers Stock |
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Customers Bancorp. Projected growth potential of Customers fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Customers Bancorp assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Customers Bancorp's market price often diverges from its book value, the accounting figure shown on Customers's balance sheet. Smart investors calculate Customers Bancorp's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Customers Bancorp's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Customers Bancorp's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Customers Bancorp should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Customers Bancorp's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Customers Bancorp 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Customers Bancorp's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Customers Bancorp.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in Customers Bancorp on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding Customers Bancorp or generate 0.0% return on investment in Customers Bancorp over 90 days. Customers Bancorp is related to or competes with Customers Bancorp, First Bancorp, Enterprise Financial, Stock Yards, First Busey, Hilltop Holdings, and Nicolet Bankshares. Customers Bancorp is entity of United States More
Customers Bancorp Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Customers Bancorp's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Customers Bancorp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7646 | |||
| Information Ratio | 0.1643 | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.51 |
Customers Bancorp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Customers Bancorp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Customers Bancorp's standard deviation. In reality, there are many statistical measures that can use Customers Bancorp historical prices to predict the future Customers Bancorp's volatility.| Risk Adjusted Performance | 0.1686 | |||
| Jensen Alpha | 0.1708 | |||
| Total Risk Alpha | 0.129 | |||
| Sortino Ratio | 0.1716 | |||
| Treynor Ratio | (2.23) |
Customers Bancorp March 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1686 | |||
| Market Risk Adjusted Performance | (2.22) | |||
| Mean Deviation | 0.5396 | |||
| Semi Deviation | 0.4363 | |||
| Downside Deviation | 0.7646 | |||
| Coefficient Of Variation | 448.6 | |||
| Standard Deviation | 0.7987 | |||
| Variance | 0.6379 | |||
| Information Ratio | 0.1643 | |||
| Jensen Alpha | 0.1708 | |||
| Total Risk Alpha | 0.129 | |||
| Sortino Ratio | 0.1716 | |||
| Treynor Ratio | (2.23) | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.51 | |||
| Downside Variance | 0.5846 | |||
| Semi Variance | 0.1903 | |||
| Expected Short fall | (0.63) | |||
| Skewness | 0.6149 | |||
| Kurtosis | 2.57 |
Customers Bancorp Backtested Returns
At this point, Customers Bancorp is very steady. Customers Bancorp secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the company had a 0.21 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Customers Bancorp, which you can use to evaluate the volatility of the firm. Please confirm Customers Bancorp's Downside Deviation of 0.7646, risk adjusted performance of 0.1686, and Mean Deviation of 0.5396 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. Customers Bancorp has a performance score of 16 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0752, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Customers Bancorp are expected to decrease at a much lower rate. During the bear market, Customers Bancorp is likely to outperform the market. Customers Bancorp right now shows a risk of 0.82%. Please confirm Customers Bancorp potential upside, skewness, and the relationship between the maximum drawdown and semi variance , to decide if Customers Bancorp will be following its price patterns.
Auto-correlation | 0.66 |
Good predictability
Customers Bancorp has good predictability. Overlapping area represents the amount of predictability between Customers Bancorp time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Customers Bancorp price movement. The serial correlation of 0.66 indicates that around 66.0% of current Customers Bancorp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
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 two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Customers Bancorp across different markets.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.024 | 0.0248 | 0.015 | 0.011 | Price To Sales Ratio | 0.43 | 0.44 | 0.52 | 0.5 |
Customers Bancorp March 4, 2026 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 | 0.1686 | |||
| Market Risk Adjusted Performance | (2.22) | |||
| Mean Deviation | 0.5396 | |||
| Semi Deviation | 0.4363 | |||
| Downside Deviation | 0.7646 | |||
| Coefficient Of Variation | 448.6 | |||
| Standard Deviation | 0.7987 | |||
| Variance | 0.6379 | |||
| Information Ratio | 0.1643 | |||
| Jensen Alpha | 0.1708 | |||
| Total Risk Alpha | 0.129 | |||
| Sortino Ratio | 0.1716 | |||
| Treynor Ratio | (2.23) | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.51 | |||
| Downside Variance | 0.5846 | |||
| Semi Variance | 0.1903 | |||
| Expected Short fall | (0.63) | |||
| Skewness | 0.6149 | |||
| Kurtosis | 2.57 |
Customers Bancorp March 4, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Customers stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | (0.78) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 23.74 | ||
| Day Typical Price | 23.66 | ||
| Price Action Indicator | (0.43) | ||
| Market Facilitation Index | 0.49 |
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.
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| AI Portfolio Prophet Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |