Regions Financial Stock Forecast - Double Exponential Smoothing
| RF Stock | USD 28.71 0.44 1.56% |
The Double Exponential Smoothing forecasted value of Regions Financial on the next trading day is expected to be 29.01 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 19.53. Regions Stock Forecast 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.
The relative strength index (RSI) of Regions Financial's share price is above 70 as of 7th of January 2026 indicating that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Regions, making its price go up or down. Momentum 71
Buy Stretched
Oversold | Overbought |
EPS Estimate Next Quarter 0.6156 | EPS Estimate Current Year 2.3698 | EPS Estimate Next Year 2.5904 | Wall Street Target Price 29.6614 | EPS Estimate Current Quarter 0.5987 |
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 24.2022 | Short Percent 0.0826 | Short Ratio 5.09 | Shares Short Prior Month 47.9 M | 50 Day MA 25.8282 |
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 | 0.27 |
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 Double Exponential Smoothing forecasted value of Regions Financial on the next trading day is expected to be 29.01 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 19.53. Regions Financial after-hype prediction price | USD 28.7 |
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. Open Interest Against 2026-03-20 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 Double Exponential Smoothing Price Forecast For the 8th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Regions Financial on the next trading day is expected to be 29.01 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.22, and the sum of the absolute errors of 19.53.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 27.41 and 30.61, 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 Double Exponential Smoothing 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0761 |
| MAD | Mean absolute deviation | 0.3256 |
| MAPE | Mean absolute percentage error | 0.0129 |
| SAE | Sum of the absolute errors | 19.5333 |
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.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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Regions Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Regions Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
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 | 1.11 | |||
| Semi Deviation | 1.54 | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 | |||
| Downside Variance | 3.37 | |||
| Semi Variance | 2.36 | |||
| Expected Short fall | (1.15) |
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.
Currently Active Assets on Macroaxis
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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 1.015 | Earnings Share 2.27 | 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.