Regions Financial Stock Forecast - Naive Prediction
| RF Stock | USD 27.86 0.01 0.04% |
Regions Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of Regions Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 29th of January 2026, The relative strength index (RSI) of Regions Financial's share price is at 55 indicating that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Regions Financial, making its price go up or down. Momentum 55
Impartial
Oversold | Overbought |
EPS Estimate Next Quarter 0.6035 | EPS Estimate Current Year 2.6032 | EPS Estimate Next Year 2.8501 | Wall Street Target Price 30.3773 | EPS Estimate Current Quarter 0.6117 |
Using Regions Financial hype-based prediction, you can estimate the value of Regions Financial from the perspective of Regions Financial response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Regions Financial using Regions Financial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Regions using crowd psychology based on the activity and movement of Regions Financial's stock price.
Regions Financial Short Interest
A significant increase or decrease in Regions Financial's short interest from the previous month could be a good indicator of investor sentiment towards Regions. Short interest can provide insight into the potential direction of Regions Financial stock and how bullish or bearish investors feel about the market overall.
200 Day MA 24.7444 | Short Percent 0.0708 | Short Ratio 4.61 | Shares Short Prior Month 62.5 M | 50 Day MA 26.9412 |
Regions Relative Strength Index
The Naive Prediction forecasted value of Regions Financial on the next trading day is expected to be 28.03 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.85.Regions Financial Hype to Price Pattern
Investor biases related to Regions Financial's public news can be used to forecast risks associated with an investment in Regions. The trend in average sentiment can be used to explain how an investor holding Regions can time the market purely based on public headlines and social activities around Regions Financial. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Regions Financial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Regions Financial.
Regions Financial Implied Volatility | 0.37 |
Regions Financial's implied volatility exposes the market's sentiment of Regions Financial stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Regions Financial's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Regions Financial stock will not fluctuate a lot when Regions Financial's options are near their expiration.
The Naive Prediction forecasted value of Regions Financial on the next trading day is expected to be 28.03 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.85. Regions Financial after-hype prediction price | USD 27.86 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Regions Financial to cross-verify your projections. Prediction based on Rule 16 of the current Regions contract
Based on the Rule 16, the options market is currently suggesting that Regions Financial will have an average daily up or down price movement of about 0.0231% per day over the life of the 2026-04-17 option contract. With Regions Financial trading at USD 27.86, that is roughly USD 0.006443 . If you think that the market is fully incorporating Regions Financial's daily price movement you should consider acquiring Regions Financial options at the current volatility level of 0.37%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Regions Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Regions Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Regions Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Regions Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Regions Financial's open interest, investors have to compare it to Regions Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Regions Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Regions. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Regions Financial Additional Predictive Modules
Most predictive techniques to examine Regions price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Regions using various technical indicators. When you analyze Regions charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Regions Financial Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Regions Financial's financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 1989-12-31 | Previous Quarter 3.1 B | Current Value 10.9 B | Quarterly Volatility 5.7 B |
Regions Financial Naive Prediction Price Forecast For the 30th of January
Given 90 days horizon, the Naive Prediction forecasted value of Regions Financial on the next trading day is expected to be 28.03 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.85.Please note that although there have been many attempts to predict Regions Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Regions Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Regions Financial Stock Forecast Pattern
| Backtest Regions Financial | Regions Financial Price Prediction | Buy or Sell Advice |
Regions Financial Forecasted Value
In the context of forecasting Regions Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Regions Financial's downside and upside margins for the forecasting period are 26.62 and 29.44, respectively. We have considered Regions Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Regions Financial stock data series using in forecasting. Note that when a statistical model is used to represent Regions Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.2541 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3364 |
| MAPE | Mean absolute percentage error | 0.0128 |
| SAE | Sum of the absolute errors | 20.8539 |
Predictive Modules for Regions Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Regions Financial. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Regions Financial After-Hype Price Density Analysis
As far as predicting the price of Regions Financial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Regions Financial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Regions Financial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Regions Financial Estimiated After-Hype Price Volatility
In the context of predicting Regions Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Regions Financial's historical news coverage. Regions Financial's after-hype downside and upside margins for the prediction period are 26.46 and 29.26, respectively. We have considered Regions Financial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Regions Financial is very steady at this time. Analysis and calculation of next after-hype price of Regions Financial is based on 3 months time horizon.
Regions Financial Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Regions Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Regions Financial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Regions Financial, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.26 | 1.41 | 0.06 | 0.07 | 6 Events / Month | 6 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
27.86 | 27.86 | 0.00 |
|
Regions Financial Hype Timeline
As of January 29, 2026 Regions Financial is listed for 27.86. The entity has historical hype elasticity of -0.06, and average elasticity to hype of competition of -0.07. Regions is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.26%. %. The volatility of related hype on Regions Financial is about 542.31%, with the expected price after the next announcement by competition of 27.79. About 88.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.37. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Regions Financial has Price/Earnings To Growth (PEG) ratio of 1.15. The entity last dividend was issued on the 1st of December 2025. The firm had 12346:10000 split on the 1st of July 2004. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of Regions Financial to cross-verify your projections.Regions Financial Related Hype Analysis
Having access to credible news sources related to Regions Financial's direct competition is more important than ever and may enhance your ability to predict Regions Financial's future price movements. Getting to know how Regions Financial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Regions Financial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HBAN | Huntington Bancshares Incorporated | 0.71 | 8 per month | 1.57 | 0.04 | 2.86 | (2.40) | 10.36 | |
| FITB | Fifth Third Bancorp | (0.24) | 17 per month | 1.06 | 0.13 | 2.74 | (1.80) | 9.19 | |
| MTB | MT Bank | (0.24) | 6 per month | 0.72 | 0.17 | 2.65 | (1.25) | 5.45 | |
| CFG | Citizens Financial Group | (0.24) | 3 per month | 0.88 | 0.17 | 2.80 | (1.80) | 9.61 | |
| FHN | First Horizon National | (0.24) | 3 per month | 1.04 | 0.13 | 2.71 | (1.77) | 7.47 | |
| KEY | KeyCorp | (0.24) | 17 per month | 0.81 | 0.19 | 2.76 | (1.44) | 5.63 | |
| CMA | Comerica Incorporated | (1.35) | 20 per month | 0.97 | 0.15 | 2.60 | (1.66) | 9.13 | |
| PNC | PNC Financial Services | (0.24) | 12 per month | 0.61 | 0.20 | 2.38 | (1.53) | 5.33 |
Other Forecasting Options for Regions Financial
For every potential investor in Regions, whether a beginner or expert, Regions Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Regions Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Regions. Basic forecasting techniques help filter out the noise by identifying Regions Financial's price trends.Regions Financial Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Regions Financial stock to make a market-neutral strategy. Peer analysis of Regions Financial could also be used in its relative valuation, which is a method of valuing Regions Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Regions Financial Market Strength Events
Market strength indicators help investors to evaluate how Regions Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Regions Financial shares will generate the highest return on investment. By undertsting and applying Regions Financial stock market strength indicators, traders can identify Regions Financial entry and exit signals to maximize returns.
| Accumulation Distribution | 193149.0 | |||
| Daily Balance Of Power | (0.03) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 27.79 | |||
| Day Typical Price | 27.81 | |||
| Price Action Indicator | 0.065 | |||
| Period Momentum Indicator | (0.01) | |||
| Relative Strength Index | 55.55 |
Regions Financial Risk Indicators
The analysis of Regions Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Regions Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting regions stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.03 | |||
| Semi Deviation | 0.9101 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.91 | |||
| Downside Variance | 1.59 | |||
| Semi Variance | 0.8283 | |||
| Expected Short fall | (1.17) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Regions Financial
The number of cover stories for Regions Financial depends on current market conditions and Regions Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Regions Financial is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Regions Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Regions Financial Short Properties
Regions Financial's future price predictability will typically decrease when Regions Financial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Regions Financial often depends not only on the future outlook of the potential Regions Financial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Regions Financial's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 880 M | |
| Cash And Short Term Investments | 38.5 B |
Check out Historical Fundamental Analysis of Regions Financial to cross-verify your projections. For more detail on how to invest in Regions Stock please use our How to Invest in Regions Financial guide.You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Can Regional Banks industry sustain growth momentum? Does Regions have expansion opportunities? Factors like these will boost the valuation of Regions Financial. Anticipated expansion of Regions directly elevates investor willingness to pay premium valuations. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Regions Financial demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Dividend Share 1.03 | Earnings Share 2.3 | Revenue Per Share | Quarterly Revenue Growth 0.156 | Return On Assets |
Investors evaluate Regions Financial using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Regions Financial's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Regions Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Regions Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Regions Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Regions Financial's market price signifies the transaction level at which participants voluntarily complete trades.