Valley National Bancorp Stock Pattern Recognition Short Line Candle
| VLY Stock | USD 10.64 0.04 0.37% |
| Symbol |
Recognition |
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of six valid pattern recognition events for the selected time horizon. The Short Line Candle pattern describes signals for either bullish or bearish trend during either reversal or continuation condition of Valley National Bancorp.
Valley National Technical Analysis Modules
Most technical analysis of Valley National 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 Valley from various momentum indicators to cycle indicators. When you analyze Valley 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 |
About Valley National 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 Valley National Bancorp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Valley National Bancorp based on widely used predictive technical indicators. In general, we focus on analyzing Valley Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Valley National'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 Valley National's intrinsic value. In addition to deriving basic predictive indicators for Valley National, we also check how macroeconomic factors affect Valley National 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 | 0.0343 | 0.0399 | 0.0435 | 0.0338 | Price To Sales Ratio | 4.1 | 2.95 | 3.02 | 4.97 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Valley National in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Valley National's short interest history, or implied volatility extrapolated from Valley National options trading.
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Additional Tools for Valley Stock Analysis
When running Valley National's price analysis, check to measure Valley National'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 Valley National is operating at the current time. Most of Valley National's value examination focuses on studying past and present price action to predict the probability of Valley National's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Valley National's price. Additionally, you may evaluate how the addition of Valley National to your portfolios can decrease your overall portfolio volatility.