Cnb Financial Services Stock Technical Analysis
| CBFC Stock | USD 50.00 5.00 11.11% |
As of the 29th of January, CNB Financial owns the variance of 24.12, and Market Risk Adjusted Performance of (2.57). CNB Financial Services technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm's future prices.
CNB 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 CNB, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CNBCNB |
CNB Financial '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 CNB Financial's pink sheet 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 CNB Financial.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in CNB Financial on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding CNB Financial Services or generate 0.0% return on investment in CNB Financial over 90 days. CNB Financial is related to or competes with Empire Bancshares, Tennessee Valley, Community Bankers, Harbor Bankshares, Town Center, Third Century, and Absecon Bancorp. CNB Financial Services, Inc. operates as the bank holding company for CNB Bank, Inc More
CNB Financial 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 CNB Financial's pink sheet 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 CNB Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1377 | |||
| Maximum Drawdown | 38.45 |
CNB Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CNB Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CNB Financial's standard deviation. In reality, there are many statistical measures that can use CNB Financial historical prices to predict the future CNB Financial's volatility.| Risk Adjusted Performance | 0.121 | |||
| Jensen Alpha | 0.7599 | |||
| Total Risk Alpha | 0.3079 | |||
| Treynor Ratio | (2.58) |
CNB Financial January 29, 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 | 0.121 | |||
| Market Risk Adjusted Performance | (2.57) | |||
| Mean Deviation | 1.47 | |||
| Coefficient Of Variation | 653.72 | |||
| Standard Deviation | 4.91 | |||
| Variance | 24.12 | |||
| Information Ratio | 0.1377 | |||
| Jensen Alpha | 0.7599 | |||
| Total Risk Alpha | 0.3079 | |||
| Treynor Ratio | (2.58) | |||
| Maximum Drawdown | 38.45 | |||
| Skewness | 7.32 | |||
| Kurtosis | 55.74 |
CNB Financial Services Backtested Returns
CNB Financial appears to be very steady, given 3 months investment horizon. CNB Financial Services retains Efficiency (Sharpe Ratio) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We have found twenty technical indicators for CNB Financial, which you can use to evaluate the volatility of the firm. Please makes use of CNB Financial's market risk adjusted performance of (2.57), and Variance of 24.12 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, CNB Financial holds a performance score of 11. The firm owns a Beta (Systematic Risk) of -0.29, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CNB Financial are expected to decrease at a much lower rate. During the bear market, CNB Financial is likely to outperform the market. Please check CNB Financial's information ratio, kurtosis, and the relationship between the standard deviation and total risk alpha , to make a quick decision on whether CNB Financial's current price history will revert.
Auto-correlation | 0.37 |
Below average predictability
CNB Financial Services has below average predictability. Overlapping area represents the amount of predictability between CNB Financial time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 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 CNB Financial Services price movement. The serial correlation of 0.37 indicates that just about 37.0% of current CNB Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.81 |
CNB Financial 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.
CNB Financial Services Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 CNB Financial Services volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CNB 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 CNB Financial Services 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 CNB Financial Services based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CNB Financial Services price pattern first instead of the macroeconomic environment surrounding CNB Financial Services. By analyzing CNB 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 CNB 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 CNB Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
CNB Financial January 29, 2026 Technical Indicators
Most technical analysis of CNB 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 CNB from various momentum indicators to cycle indicators. When you analyze CNB 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 | 0.121 | |||
| Market Risk Adjusted Performance | (2.57) | |||
| Mean Deviation | 1.47 | |||
| Coefficient Of Variation | 653.72 | |||
| Standard Deviation | 4.91 | |||
| Variance | 24.12 | |||
| Information Ratio | 0.1377 | |||
| Jensen Alpha | 0.7599 | |||
| Total Risk Alpha | 0.3079 | |||
| Treynor Ratio | (2.58) | |||
| Maximum Drawdown | 38.45 | |||
| Skewness | 7.32 | |||
| Kurtosis | 55.74 |
CNB Financial January 29, 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 CNB 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.11 | ||
| Day Median Price | 50.00 | ||
| Day Typical Price | 50.00 | ||
| Price Action Indicator | 2.50 |
Complementary Tools for CNB Pink Sheet analysis
When running CNB Financial's price analysis, check to measure CNB 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 CNB Financial is operating at the current time. Most of CNB Financial's value examination focuses on studying past and present price action to predict the probability of CNB 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 CNB Financial's price. Additionally, you may evaluate how the addition of CNB Financial to your portfolios can decrease your overall portfolio volatility.
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