Andrew Squires - American Lithium Insider
Stakeholder Andrew Squires is not found or was disassociated from the entity American Lithium Corp
If you believe Andrew Squires is a valid insider of American Lithium Corp please let us know and we will check it out.
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Pair Trading with American Lithium
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 American Lithium 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 American Lithium will appreciate offsetting losses from the drop in the long position's value.Moving against American Stock
| 0.64 | FDY | Faraday Copper Corp | PairCorr |
| 0.58 | TD-PFL | Toronto Dominion Bank Earnings Call This Week | PairCorr |
| 0.57 | TD-PFD | Toronto Dominion Bank Earnings Call This Week | PairCorr |
| 0.54 | RY-PM | Royal Bank | PairCorr |
| 0.51 | TD-PFM | Toronto Dominion Bank Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to American Lithium could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American Lithium 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 American Lithium - 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 American Lithium Corp to buy it.
The correlation of American Lithium 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 American Lithium moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American Lithium Corp 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 American Lithium 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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in American Lithium Corp. 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for American Stock analysis
When running American Lithium's price analysis, check to measure American Lithium'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 American Lithium is operating at the current time. Most of American Lithium's value examination focuses on studying past and present price action to predict the probability of American Lithium's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Lithium's price. Additionally, you may evaluate how the addition of American Lithium to your portfolios can decrease your overall portfolio volatility.
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