First Business Financial Stock Pattern Recognition Inverted Hammer
| FBIZ Stock | USD 50.51 0.42 0.82% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Inverted Hammer pattern indicates that the buyers drove prices of First Business Financial up, at some point during the period, but encountered selling pressure which drove prices back down to close near to where they opened.
First Business Technical Analysis Modules
Most technical analysis of First Business 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 First from various momentum indicators to cycle indicators. When you analyze First 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About First Business Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of First Business Financial. We use our internally-developed statistical techniques to arrive at the intrinsic value of First Business Financial based on widely used predictive technical indicators. In general, we focus on analyzing First Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build First Business's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of First Business's intrinsic value. In addition to deriving basic predictive indicators for First Business, we also check how macroeconomic factors affect First Business price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0254 | 0.0245 | 0.0259 | 0.0157 | Price To Sales Ratio | 2.15 | 2.35 | 2.27 | 3.85 |
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If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Index Invested over 90 shares | |
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Additional Tools for First Stock Analysis
When running First Business' price analysis, check to measure First Business' 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 First Business is operating at the current time. Most of First Business' value examination focuses on studying past and present price action to predict the probability of First Business' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Business' price. Additionally, you may evaluate how the addition of First Business to your portfolios can decrease your overall portfolio volatility.