Bank of New York Mellon Stock Forecast - Accumulation Distribution
BN9 Stock | EUR 74.88 1.42 1.93% |
Bank Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bank of New York Mellon's historical fundamentals, such as revenue growth or operating cash flow patterns.
Bank |
Check Bank of New York Mellon Volatility | Backtest Bank of New York Mellon | Trend Details |
Bank of New York Mellon Trading Date Momentum
On October 08 2024 The Bank of was traded for 66.08 at the closing time. The highest daily price throughout the period was 66.08 and the lowest price was 64.74 . The daily volume was 110. The net trading volume on 10/08/2024 added to the next day price rise. The overall trading delta to closing price of the next trading day was 1.46% . The trading price change to current closing price is 2.95% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
Compare Bank of New York Mellon to competition |
Other Forecasting Options for Bank of New York Mellon
For every potential investor in Bank, whether a beginner or expert, Bank of New York Mellon's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank of New York Mellon's price trends.Bank of New York Mellon Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Bank of New York Mellon stock to make a market-neutral strategy. Peer analysis of Bank of New York Mellon could also be used in its relative valuation, which is a method of valuing Bank of New York Mellon by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Bank of New York Mellon Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Bank of New York Mellon's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Bank of New York Mellon's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Bank of New York Mellon Market Strength Events
Market strength indicators help investors to evaluate how Bank of New York Mellon stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of New York Mellon shares will generate the highest return on investment. By undertsting and applying Bank of New York Mellon stock market strength indicators, traders can identify The Bank of entry and exit signals to maximize returns.
Bank of New York Mellon Risk Indicators
The analysis of Bank of New York Mellon's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Bank of New York Mellon's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 1.01 | |||
Semi Deviation | 0.5804 | |||
Standard Deviation | 1.34 | |||
Variance | 1.8 | |||
Downside Variance | 1.01 | |||
Semi Variance | 0.3369 | |||
Expected Short fall | (1.19) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
Other Information on Investing in Bank Stock
Bank of New York Mellon financial ratios help investors to determine whether Bank Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank of New York Mellon security.