Discover Financial Services Stock Volume Indicators Chaikin AD Oscillator
| DFS Stock | USD 158.73 7.41 4.46% |
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The output start index for this execution was twenty-five with a total number of output elements of thirty-six. The Accumulation/Distribution Oscillator was developed by Marc Chaikin. It is a moving average oscillator based on the Accumulation/Distribution indicator. The Chaikin Oscillator is created by subtracting Discover Financial 10-period exponential moving average of the Accumulation/Distribution Line from a 3-period exponential moving average of the Accumulation/Distribution Line.
Discover Financial Technical Analysis Modules
Most technical analysis of Discover Financial 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 Discover from various momentum indicators to cycle indicators. When you analyze Discover 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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About Discover Financial 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 Discover Financial Services. We use our internally-developed statistical techniques to arrive at the intrinsic value of Discover Financial Services based on widely used predictive technical indicators. In general, we focus on analyzing Discover Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Discover Financial's daily price indicators and compare them against related drivers, such as volume indicators 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 Discover Financial's intrinsic value. In addition to deriving basic predictive indicators for Discover Financial, we also check how macroeconomic factors affect Discover Financial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0259 | 0.0263 | 0.0177 | 0.0317 | Price To Sales Ratio | 2.03 | 2.9 | 2.17 | 2.96 |
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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Discover Financial pair trading
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 Discover Financial 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 Discover Financial will appreciate offsetting losses from the drop in the long position's value.Discover Financial Pair Trading
Discover Financial Services Pair Trading Analysis
The ability to find closely correlated positions to Discover Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Discover Financial 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 Discover Financial - 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 Discover Financial Services to buy it.
The correlation of Discover Financial 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 Discover Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Discover Financial 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 Discover Financial 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.Additional Tools for Discover Stock Analysis
When running Discover Financial's price analysis, check to measure Discover Financial'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 Discover Financial is operating at the current time. Most of Discover Financial's value examination focuses on studying past and present price action to predict the probability of Discover Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Discover Financial's price. Additionally, you may evaluate how the addition of Discover Financial to your portfolios can decrease your overall portfolio volatility.