Regions Financial Stock Technical Analysis

RF Stock  USD 27.28  0.54  2.02%   
As of the 25th of November, Regions Financial holds the Semi Deviation of 0.9374, risk adjusted performance of 0.1348, and Coefficient Of Variation of 594.99. 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 27.28 per share. Given that Regions Financial has jensen alpha of 0.3165, 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 Regions
  
Regions 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 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.
A focus of Regions Financial technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Regions Financial trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Regions Financial Technical Analysis

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The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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.

Regions Financial Trend Analysis

Use this graph to draw trend lines for Regions Financial. You can use it to identify possible trend reversals for Regions Financial as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Regions Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Regions Financial Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Regions Financial applied against its price change over selected period. The best fit line has a slop of   0.07  , which suggests that Regions Financial will keep on generating value for investors. It has 122 observation points and a regression sum of squares at 202.45, which is the sum of squared deviations for the predicted Regions Financial price change compared to its average price change.

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.

Regions Financial November 25, 2024 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.

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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