Financial Institutions Stock Technical Analysis
| FISI Stock | USD 26.97 0.35 1.31% |
As of the 18th of January 2025, Financial Institutions shows the Mean Deviation of 1.67, downside deviation of 2.04, and Coefficient Of Variation of 1982.68. Financial Institutions technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Financial Institutions Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Financial, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FinancialFinancial |
Financial Institutions Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 31.0 | Hold | 2 | Odds |
Most Financial 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 Financial stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Financial Institutions, talking to its executives and customers, or listening to Financial conference calls.
Financial Institutions 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.
Financial Institutions Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Financial Institutions volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Financial Institutions Trend Analysis
Use this graph to draw trend lines for Financial Institutions. You can use it to identify possible trend reversals for Financial Institutions 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 Financial Institutions price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Financial Institutions Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Financial Institutions applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Financial Institutions will continue generating value for investors. It has 122 observation points and a regression sum of squares at 50.43, which is the sum of squared deviations for the predicted Financial Institutions price change compared to its average price change.About Financial Institutions 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 Financial Institutions 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 Financial Institutions based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Financial Institutions price pattern first instead of the macroeconomic environment surrounding Financial Institutions. By analyzing Financial Institutions'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 Financial Institutions'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 Financial Institutions specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0508 | 0.0603 | 0.0543 | 0.029 | Price To Sales Ratio | 1.76 | 1.64 | 1.88 | 2.83 |
Financial Institutions January 18, 2025 Technical Indicators
Most technical analysis of Financial 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 Financial from various momentum indicators to cycle indicators. When you analyze Financial 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 | 0.0489 | |||
| Market Risk Adjusted Performance | 0.2515 | |||
| Mean Deviation | 1.67 | |||
| Semi Deviation | 1.86 | |||
| Downside Deviation | 2.04 | |||
| Coefficient Of Variation | 1982.68 | |||
| Standard Deviation | 2.59 | |||
| Variance | 6.71 | |||
| Information Ratio | 0.039 | |||
| Jensen Alpha | 0.1108 | |||
| Total Risk Alpha | 0.0596 | |||
| Sortino Ratio | 0.0495 | |||
| Treynor Ratio | 0.2415 | |||
| Maximum Drawdown | 18.42 | |||
| Value At Risk | (3.88) | |||
| Potential Upside | 3.45 | |||
| Downside Variance | 4.16 | |||
| Semi Variance | 3.47 | |||
| Expected Short fall | (1.91) | |||
| Skewness | 2.12 | |||
| Kurtosis | 10.49 |
Complementary Tools for Financial Stock analysis
When running Financial Institutions' price analysis, check to measure Financial Institutions' 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 Financial Institutions is operating at the current time. Most of Financial Institutions' value examination focuses on studying past and present price action to predict the probability of Financial Institutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Financial Institutions' price. Additionally, you may evaluate how the addition of Financial Institutions to your portfolios can decrease your overall portfolio volatility.
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