Commodity Return Strategy Fund Math Transform Inverse Tangent Over Price Movement
| CCRSX Fund | USD 17.93 0.03 0.17% |
| Symbol |
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Commodity Return Strategy Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Commodity Return price patterns.
Commodity Return Technical Analysis Modules
Most technical analysis of Commodity Return 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 COMMODITY from various momentum indicators to cycle indicators. When you analyze COMMODITY 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 Commodity Return 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 Commodity Return Strategy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Commodity Return Strategy based on widely used predictive technical indicators. In general, we focus on analyzing COMMODITY Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Commodity Return's daily price indicators and compare them against related drivers, such as math transform 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 Commodity Return's intrinsic value. In addition to deriving basic predictive indicators for Commodity Return, we also check how macroeconomic factors affect Commodity Return 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 Commodity Return'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.
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 Portfolio Manager Now
Portfolio ManagerState of the art Portfolio Manager to monitor and improve performance of your invested capital |
| All Next | Launch Module |
Commodity Return Strategy 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 Commodity Return 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 Commodity Return will appreciate offsetting losses from the drop in the long position's value.Commodity Return Pair Trading
Commodity Return Strategy Pair Trading Analysis
The ability to find closely correlated positions to Commodity Return could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Commodity Return 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 Commodity Return - 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 Commodity Return Strategy to buy it.
The correlation of Commodity Return 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 Commodity Return moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Commodity Return Strategy 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 Commodity Return 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 COMMODITY Mutual Fund
Commodity Return financial ratios help investors to determine whether COMMODITY 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 COMMODITY with respect to the benefits of owning Commodity Return security.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |