Smartfit Escola (Brazil) Statistic Functions Standard Deviation
| SMFT3 Stock | 17.90 0.65 3.50% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. Smartfit Escola de Standard Deviation measures the spread of Smartfit Escola time series from expected value (the mean).
Smartfit Escola Technical Analysis Modules
Most technical analysis of Smartfit Escola 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 Smartfit from various momentum indicators to cycle indicators. When you analyze Smartfit 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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Smartfit Escola de 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 Smartfit Escola 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 Smartfit Escola will appreciate offsetting losses from the drop in the long position's value.Smartfit Escola Pair Trading
Smartfit Escola de Pair Trading Analysis
The ability to find closely correlated positions to Smartfit Escola could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Smartfit Escola 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 Smartfit Escola - 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 Smartfit Escola de to buy it.
The correlation of Smartfit Escola 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 Smartfit Escola moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Smartfit Escola de 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 Smartfit Escola 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 Smartfit Stock Analysis
When running Smartfit Escola's price analysis, check to measure Smartfit Escola'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 Smartfit Escola is operating at the current time. Most of Smartfit Escola's value examination focuses on studying past and present price action to predict the probability of Smartfit Escola's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smartfit Escola's price. Additionally, you may evaluate how the addition of Smartfit Escola to your portfolios can decrease your overall portfolio volatility.