FD Technologies Earnings Estimate

FD Technologies Earnings per Share Projection vs Actual

About FD Technologies Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of FD Technologies earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current FD Technologies estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as FD Technologies fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
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Pair Trading with FD Technologies

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 FD Technologies 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 FD Technologies will appreciate offsetting losses from the drop in the long position's value.

Moving against GYQ Stock

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The ability to find closely correlated positions to FD Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FD Technologies 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 FD Technologies - 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 FD Technologies PLC to buy it.
The correlation of FD Technologies 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 FD Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FD Technologies PLC 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 FD Technologies 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.
Pair CorrelationCorrelation Matching

Additional Tools for GYQ Stock Analysis

When running FD Technologies' price analysis, check to measure FD Technologies' 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 FD Technologies is operating at the current time. Most of FD Technologies' value examination focuses on studying past and present price action to predict the probability of FD Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FD Technologies' price. Additionally, you may evaluate how the addition of FD Technologies to your portfolios can decrease your overall portfolio volatility.