Di Wu - Anton Oilfield Insider
Stakeholder Di Wu is not found or was disassociated from the entity Anton Oilfield Services
If you believe Di Wu is a valid insider of Anton Oilfield Services please let us know and we will check it out.
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Pair Trading with Anton Oilfield
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 Anton Oilfield 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 Anton Oilfield will appreciate offsetting losses from the drop in the long position's value.Moving together with Anton Pink Sheet
| 0.69 | AAPL | Apple Inc Aggressive Push | PairCorr |
Moving against Anton Pink Sheet
| 0.85 | WMT | Walmart Aggressive Push | PairCorr |
| 0.81 | JPM | JPMorgan Chase Sell-off Trend | PairCorr |
| 0.79 | NVDA | NVIDIA Aggressive Push | PairCorr |
| 0.76 | BAC | Bank of America Aggressive Push | PairCorr |
| 0.66 | AXP | American Express Financial Report 19th of July 2024 | PairCorr |
The ability to find closely correlated positions to Anton Oilfield could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Anton Oilfield 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 Anton Oilfield - 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 Anton Oilfield Services to buy it.
The correlation of Anton Oilfield 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 Anton Oilfield moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Anton Oilfield Services 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 Anton Oilfield 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Anton Oilfield Services. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for Anton Pink Sheet analysis
When running Anton Oilfield's price analysis, check to measure Anton Oilfield'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 Anton Oilfield is operating at the current time. Most of Anton Oilfield's value examination focuses on studying past and present price action to predict the probability of Anton Oilfield's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Anton Oilfield's price. Additionally, you may evaluate how the addition of Anton Oilfield to your portfolios can decrease your overall portfolio volatility.
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