Siit Small Cap Fund Overlap Studies Simple Moving Average
| SLPAX Fund | USD 15.12 0.02 0.13% |
| Symbol |
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Simple Moving Average indicator is calculated by adding the closing price of Siit Small for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Siit Small Cap short-term fluctuations and highlight longer-term trends or cycles.
Siit Small Technical Analysis Modules
Most technical analysis of Siit Small 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 Siit from various momentum indicators to cycle indicators. When you analyze Siit 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 Siit Small 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 Siit Small Cap. We use our internally-developed statistical techniques to arrive at the intrinsic value of Siit Small Cap based on widely used predictive technical indicators. In general, we focus on analyzing Siit Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Siit Small'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 Siit Small's intrinsic value. In addition to deriving basic predictive indicators for Siit Small, we also check how macroeconomic factors affect Siit Small 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 Price Ceiling Movement Now
Price Ceiling MovementCalculate and plot Price Ceiling Movement for different equity instruments |
| All Next | Launch Module |
Siit Small Cap 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 Siit Small 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 Siit Small will appreciate offsetting losses from the drop in the long position's value.Siit Small Pair Trading
Siit Small Cap Pair Trading Analysis
The ability to find closely correlated positions to Siit Small could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Siit Small 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 Siit Small - 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 Siit Small Cap to buy it.
The correlation of Siit Small 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 Siit Small moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Siit Small Cap 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 Siit Small 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 Siit Mutual Fund
Siit Small financial ratios help investors to determine whether Siit 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 Siit with respect to the benefits of owning Siit Small security.
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |