Regions Financial Preferred Stock Technical Analysis
RF-PE Preferred Stock | USD 19.59 0.16 0.82% |
As of the 25th of November, Regions Financial holds the Semi Deviation of 0.7983, risk adjusted performance of 0.0744, and Coefficient Of Variation of 1042.29. 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 treynor ratio, and the relationship between the variance and potential upside to decide if Regions Financial is priced some-what accurately, providing market reflects its current price of 19.59 per share. Given that Regions Financial has jensen alpha of 0.0578, 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 |
Regions Financial technical preferred 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, preferred stock market cycles, or different charting patterns.
Regions Financial Technical Analysis
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 0.01 , which means Regions Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.02, 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.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.0744 | |||
Market Risk Adjusted Performance | 0.6933 | |||
Mean Deviation | 0.6319 | |||
Semi Deviation | 0.7983 | |||
Downside Deviation | 0.914 | |||
Coefficient Of Variation | 1042.29 | |||
Standard Deviation | 0.8364 | |||
Variance | 0.6996 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | 0.0578 | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | (0.06) | |||
Treynor Ratio | 0.6833 | |||
Maximum Drawdown | 4.01 | |||
Value At Risk | (1.42) | |||
Potential Upside | 1.24 | |||
Downside Variance | 0.8354 | |||
Semi Variance | 0.6372 | |||
Expected Short fall | (0.64) | |||
Skewness | (0.11) | |||
Kurtosis | 0.3212 |
Regions Financial November 25, 2024 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 | 247.03 | ||
Daily Balance Of Power | 0.55 | ||
Rate Of Daily Change | 1.01 | ||
Day Median Price | 19.65 | ||
Day Typical Price | 19.63 | ||
Price Action Indicator | 0.03 |
Complementary Tools for Regions Preferred 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.
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |