Bank of AmericaCDR Stock Forecast - Day Median Price
| BOFA Stock | 21.95 0.02 0.09% |
Bank Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bank of AmericaCDR stock prices and determine the direction of Bank of America's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bank of AmericaCDR's historical fundamentals, such as revenue growth or operating cash flow patterns.
Bank |
| Previous Day Median Price | Day Median Price | Trend |
| 21.83 | 21.83 |
| Check Bank of AmericaCDR Volatility | Backtest Bank of AmericaCDR | Information Ratio |
Bank of AmericaCDR Trading Date Momentum
| On March 22 2025 Bank of America was traded for 21.95 at the closing time. The highest price during the trading period was 22.00 and the lowest recorded bid was listed for 21.66 . There was no trading activity during the period 0.0. Lack of trading volume on March 22, 2025 did not affect price variability. The overall trading delta to the current price is 0.82% . |
The median price is the midpoint of the trading periods range.
| Compare Bank of AmericaCDR to competition |
Other Forecasting Options for Bank of AmericaCDR
For every potential investor in Bank, whether a beginner or expert, Bank of AmericaCDR'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 AmericaCDR's price trends.Bank of AmericaCDR 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 AmericaCDR stock to make a market-neutral strategy. Peer analysis of Bank of AmericaCDR could also be used in its relative valuation, which is a method of valuing Bank of AmericaCDR by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank of AmericaCDR 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 AmericaCDR'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 AmericaCDR'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 AmericaCDR Market Strength Events
Market strength indicators help investors to evaluate how Bank of AmericaCDR 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 AmericaCDR shares will generate the highest return on investment. By undertsting and applying Bank of AmericaCDR stock market strength indicators, traders can identify Bank of America entry and exit signals to maximize returns.
Bank of AmericaCDR Risk Indicators
The analysis of Bank of AmericaCDR'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 AmericaCDR'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 | 1.11 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.01 |
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.
Pair Trading with Bank of AmericaCDR
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of AmericaCDR position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of AmericaCDR will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Bank of AmericaCDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of AmericaCDR when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of AmericaCDR - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of America to buy it.
The correlation of Bank of AmericaCDR is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of AmericaCDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of AmericaCDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of AmericaCDR can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Bank of AmericaCDR to cross-verify your projections. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .