Smead Funds Trust Fund Volatility Indicators Average True Range
| SVXAX Fund | USD 55.36 0.26 0.47% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Smead Funds Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Smead Funds Technical Analysis Modules
Most technical analysis of Smead Funds 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 Smead from various momentum indicators to cycle indicators. When you analyze Smead 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 Smead Funds 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 Smead Funds Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Smead Funds Trust based on widely used predictive technical indicators. In general, we focus on analyzing Smead Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Smead Funds's daily price indicators and compare them against related drivers, such as volatility indicators 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 Smead Funds's intrinsic value. In addition to deriving basic predictive indicators for Smead Funds, we also check how macroeconomic factors affect Smead Funds price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run My Watchlist Analysis Now
My Watchlist AnalysisAnalyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |
| All Next | Launch Module |
Smead Funds Trust 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 Smead Funds 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 Smead Funds will appreciate offsetting losses from the drop in the long position's value.Smead Funds Pair Trading
Smead Funds Trust Pair Trading Analysis
The ability to find closely correlated positions to Smead Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Smead Funds 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 Smead Funds - 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 Smead Funds Trust to buy it.
The correlation of Smead Funds 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 Smead Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Smead Funds Trust 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 Smead Funds 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 Smead Mutual Fund
Smead Funds financial ratios help investors to determine whether Smead 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 Smead with respect to the benefits of owning Smead Funds security.
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Money Managers Screen money managers from public funds and ETFs managed around the world |