Regions Financial Stock Technical Analysis
| RF Stock | USD 27.74 0.26 0.95% |
As of the 27th of January, Regions Financial holds the Risk Adjusted Performance of 0.1221, semi deviation of 0.9378, and Coefficient Of Variation of 625.31. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Regions Financial, as well as the relationship between them. Please check Regions Financial downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Regions Financial is priced some-what accurately, providing market reflects its current price of 27.74 per share. Given that Regions Financial has jensen alpha of 0.1252, we recommend you to check out Regions Financial's recent market performance to make sure the company can sustain itself at a future point.
Regions 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 Regions, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RegionsRegions Financial's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Regions Financial Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 30.38 | Buy | 24 | Odds |
Most Regions analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Regions stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Regions Financial, talking to its executives and customers, or listening to Regions conference calls.
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 Regions Financial. If investors know Regions will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Regions Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Dividend Share 1.03 | Earnings Share 2.3 | Revenue Per Share | Quarterly Revenue Growth 0.156 | Return On Assets |
The market value of Regions Financial is measured differently than its book value, which is the value of Regions that is recorded on the company's balance sheet. Investors also form their own opinion of Regions Financial's value that differs from its market value or its book value, called intrinsic value, which is Regions Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Regions Financial's market value can be influenced by many factors that don't directly affect Regions Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Regions Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Regions Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Regions Financial'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.
Regions 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 Regions Financial'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 Regions Financial.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Regions Financial on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Regions Financial or generate 0.0% return on investment in Regions Financial over 90 days. Regions Financial is related to or competes with Huntington Bancshares, Fifth Third, MT Bank, Citizens Financial, First Horizon, KeyCorp, and Comerica Incorporated. Regions Financial Corporation, a financial holding company, provides banking and bank-related services to individual and... More
Regions 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 Regions Financial'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 Regions Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.1017 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 3.11 |
Regions Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Regions Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Regions Financial's standard deviation. In reality, there are many statistical measures that can use Regions Financial historical prices to predict the future Regions Financial's volatility.| Risk Adjusted Performance | 0.1221 | |||
| Jensen Alpha | 0.1252 | |||
| Total Risk Alpha | 0.0779 | |||
| Sortino Ratio | 0.1127 | |||
| Treynor Ratio | 0.1731 |
Regions Financial January 27, 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 | 0.1221 | |||
| Market Risk Adjusted Performance | 0.1831 | |||
| Mean Deviation | 1.04 | |||
| Semi Deviation | 0.9378 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 625.31 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 | |||
| Information Ratio | 0.1017 | |||
| Jensen Alpha | 0.1252 | |||
| Total Risk Alpha | 0.0779 | |||
| Sortino Ratio | 0.1127 | |||
| Treynor Ratio | 0.1731 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 3.11 | |||
| Downside Variance | 1.57 | |||
| Semi Variance | 0.8795 | |||
| Expected Short fall | (1.19) | |||
| Skewness | 0.4181 | |||
| Kurtosis | 0.488 |
Regions Financial Backtested Returns
Regions Financial appears to be very steady, given 3 months investment horizon. Regions Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the firm had a 0.19 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Regions Financial, which you can use to evaluate the volatility of the company. Please evaluate Regions Financial's Coefficient Of Variation of 625.31, risk adjusted performance of 0.1221, and Semi Deviation of 0.9378 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Regions Financial holds a performance score of 14. The company holds a Beta of 1.23, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Regions Financial will likely underperform. Please check Regions Financial's downside variance, and the relationship between the sortino ratio and accumulation distribution , to make a quick decision on whether Regions Financial's historical price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Regions Financial has no correlation between past and present. Overlapping area represents the amount of predictability between Regions Financial time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 Regions Financial price movement. The serial correlation of 0.0 indicates that just 0.0% of current Regions Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Regions 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.
Regions Financial 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 Regions Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Regions 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 Regions 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 Regions Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Regions Financial price pattern first instead of the macroeconomic environment surrounding Regions Financial. By analyzing Regions 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 Regions 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 Regions Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2025 | 2026 (projected) | Dividend Yield | 0.0488 | 0.038 | 0.0448 | Price To Sales Ratio | 1.98 | 2.47 | 1.5 |
Regions Financial January 27, 2026 Technical Indicators
Most technical analysis of Regions 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 Regions from various momentum indicators to cycle indicators. When you analyze Regions 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 | 0.1221 | |||
| Market Risk Adjusted Performance | 0.1831 | |||
| Mean Deviation | 1.04 | |||
| Semi Deviation | 0.9378 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 625.31 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 | |||
| Information Ratio | 0.1017 | |||
| Jensen Alpha | 0.1252 | |||
| Total Risk Alpha | 0.0779 | |||
| Sortino Ratio | 0.1127 | |||
| Treynor Ratio | 0.1731 | |||
| Maximum Drawdown | 6.55 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 3.11 | |||
| Downside Variance | 1.57 | |||
| Semi Variance | 0.8795 | |||
| Expected Short fall | (1.19) | |||
| Skewness | 0.4181 | |||
| Kurtosis | 0.488 |
Regions Financial January 27, 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 Regions 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 | 0.01 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 27.61 | ||
| Day Typical Price | 27.65 | ||
| Price Action Indicator | 0.26 | ||
| Market Facilitation Index | 0.26 |
Complementary Tools for Regions Stock analysis
When running Regions Financial's price analysis, check to measure Regions 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 Regions Financial is operating at the current time. Most of Regions Financial's value examination focuses on studying past and present price action to predict the probability of Regions 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 Regions Financial's price. Additionally, you may evaluate how the addition of Regions Financial to your portfolios can decrease your overall portfolio volatility.
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