Snow Capital Small Fund Overlap Studies Triangular Moving Average
SNWCX Fund | USD 52.60 0.41 0.77% |
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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. The Triangular Moving Average shows Snow Capital double smoothed mean price over a specified number of previous prices (i.e., averaged twice).
Snow Capital Technical Analysis Modules
Most technical analysis of Snow Capital 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 Snow from various momentum indicators to cycle indicators. When you analyze Snow 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Snow Capital 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 Snow Capital Small. We use our internally-developed statistical techniques to arrive at the intrinsic value of Snow Capital Small based on widely used predictive technical indicators. In general, we focus on analyzing Snow Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Snow Capital's daily price indicators and compare them against related drivers, such as overlap studies 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 Snow Capital's intrinsic value. In addition to deriving basic predictive indicators for Snow Capital, we also check how macroeconomic factors affect Snow Capital price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Snow Capital's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Snow Capital Small 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 Snow Capital 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 Snow Capital will appreciate offsetting losses from the drop in the long position's value.Snow Capital Pair Trading
Snow Capital Small Pair Trading Analysis
The ability to find closely correlated positions to Snow Capital could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Snow Capital 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 Snow Capital - 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 Snow Capital Small to buy it.
The correlation of Snow Capital 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 Snow Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Snow Capital Small 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 Snow Capital 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.Other Information on Investing in Snow Mutual Fund
Snow Capital financial ratios help investors to determine whether Snow Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Snow with respect to the benefits of owning Snow Capital security.
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