On November 25 2024 Banque nationale de was traded for 402.00 at the closing time. The maximum traded price for the trading interval was 403.00 and the lowest daily price was 402.00 . The daily volume was recorded at 47.0. The volume of trading on 25th of November 2024 did not affect price variability. The overall trading delta to the closing price today is 0.25% .
For every potential investor in Banque, whether a beginner or expert, Banque Nationale's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Banque Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Banque. Basic forecasting techniques help filter out the noise by identifying Banque Nationale's price trends.
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 Banque Nationale stock to make a market-neutral strategy. Peer analysis of Banque Nationale could also be used in its relative valuation, which is a method of valuing Banque Nationale by comparing valuation metrics with similar companies.
Banque nationale 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 Banque Nationale'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 Banque Nationale's current price.
Market strength indicators help investors to evaluate how Banque Nationale stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Banque Nationale shares will generate the highest return on investment. By undertsting and applying Banque Nationale stock market strength indicators, traders can identify Banque nationale de entry and exit signals to maximize returns.
The analysis of Banque Nationale'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 Banque Nationale's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting banque 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.
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 Banque Nationale
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 Banque Nationale 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 Banque Nationale will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Banque Nationale could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banque Nationale 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 Banque Nationale - 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 Banque nationale de to buy it.
The correlation of Banque Nationale 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 Banque Nationale moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banque nationale 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 Banque Nationale 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.
When running Banque Nationale's price analysis, check to measure Banque Nationale'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 Banque Nationale is operating at the current time. Most of Banque Nationale's value examination focuses on studying past and present price action to predict the probability of Banque Nationale's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banque Nationale's price. Additionally, you may evaluate how the addition of Banque Nationale to your portfolios can decrease your overall portfolio volatility.