The Bank Of Stock Price Patterns
| BK Stock | USD 119.92 1.57 1.29% |
Momentum 58
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.308 | EPS Estimate Next Quarter 1.845 | EPS Estimate Current Year 8.3192 | EPS Estimate Next Year 9.3458 | Wall Street Target Price 132.6 |
Using Bank of New York hype-based prediction, you can estimate the value of The Bank of from the perspective of Bank of New York response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Bank of New York using Bank of New York's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Bank using crowd psychology based on the activity and movement of Bank of New York's stock price.
Bank of New York Short Interest
An investor who is long Bank of New York may also wish to track short interest. As short interest increases, investors should be becoming more worried about Bank of New York and may potentially protect profits, hedge Bank of New York with its derivative instruments, or be ready for some potential downside.
200 Day MA 102.5116 | Short Percent 0.0102 | Short Ratio 1.87 | Shares Short Prior Month 10.6 M | 50 Day MA 116.452 |
Bank of New York Hype to Price Pattern
Investor biases related to Bank of New York's public news can be used to forecast risks associated with an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around The Bank of. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Bank of New York's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Bank of New York.
Bank of New York Implied Volatility | 0.67 |
Bank of New York's implied volatility exposes the market's sentiment of The Bank of stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of New York's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Bank of New York stock will not fluctuate a lot when Bank of New York's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Bank of New York to buy its stock at a price that has no basis in reality. In that case, they are not buying Bank because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Bank of New York after-hype prediction price | USD 119.92 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Bank contract
Based on the Rule 16, the options market is currently suggesting that The Bank of will have an average daily up or down price movement of about 0.0419% per day over the life of the 2026-03-20 option contract. With Bank of New York trading at USD 119.92, that is roughly USD 0.0502 . If you think that the market is fully incorporating Bank of New York's daily price movement you should consider acquiring The Bank of options at the current volatility level of 0.67%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Bank of New York Basic Forecasting Models to cross-verify your projections. Bank of New York After-Hype Price Density Analysis
As far as predicting the price of Bank of New York at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Bank of New York or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Bank of New York, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of New York Estimiated After-Hype Price Volatility
In the context of predicting Bank of New York's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of New York's historical news coverage. Bank of New York's after-hype downside and upside margins for the prediction period are 118.75 and 121.09, respectively. We have considered Bank of New York's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Bank of New York is very steady at this time. Analysis and calculation of next after-hype price of Bank of New York is based on 3 months time horizon.
Bank of New York Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Bank of New York is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of New York backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Bank of New York, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.19 | 1.18 | 0.07 | 0.07 | 7 Events / Month | 10 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
119.92 | 119.92 | 0.00 |
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Bank of New York Hype Timeline
As of February 2, 2026 Bank of New York is listed for 119.92. The entity has historical hype elasticity of -0.07, and average elasticity to hype of competition of -0.07. Bank is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.19%. %. The volatility of related hype on Bank of New York is about 314.67%, with the expected price after the next announcement by competition of 119.85. About 90.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.94. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bank of New York has Price/Earnings To Growth (PEG) ratio of 1.1. The entity recorded earning per share (EPS) of 7.3. The firm last dividend was issued on the 23rd of January 2026. Bank of New York had 9434:10000 split on the 2nd of July 2007. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 7 days. Check out Bank of New York Basic Forecasting Models to cross-verify your projections.Bank of New York Related Hype Analysis
Having access to credible news sources related to Bank of New York's direct competition is more important than ever and may enhance your ability to predict Bank of New York's future price movements. Getting to know how Bank of New York's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Bank of New York may potentially react to the hype associated with one of its peers.
Bank of New York Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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 | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Bank of New York Predictive Indicators
The successful prediction of Bank of New York stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as The Bank of, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Bank of New York based on analysis of Bank of New York hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank of New York's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank of New York's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0364 | 0.027 | 0.0172 | 0.0164 | Price To Sales Ratio | 1.21 | 1.44 | 2.08 | 2.1 |
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Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bank of New York. Projected growth potential of Bank fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Bank of New York assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 0.308 | Dividend Share 2 | Earnings Share 7.3 | Revenue Per Share | Quarterly Revenue Growth 0.078 |
Investors evaluate Bank of New York using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Bank of New York's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Bank of New York's market price to deviate significantly from intrinsic value.
It's important to distinguish between Bank of New York's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Bank of New York should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Bank of New York's market price signifies the transaction level at which participants voluntarily complete trades.