Commodity Return Strategy Fund Volatility Indicators Average True Range
| CCRSX Fund | USD 17.93 0.03 0.17% |
| Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Commodity Return Strategy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 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 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Commodity Return in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Commodity Return's short interest history, or implied volatility extrapolated from Commodity Return options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Casinos Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Investor Favorites Invested over 60 shares | |
 | Impulse Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Adviser Favorites Invested few shares | |
 | Cash Cows Invested few shares | |
 | Hedge Favorites Invested over 50 shares | |
 | Manufacturing Invested over 30 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | Artificial Intelligence Invested few shares |
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.
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Commodity Directory Find actively traded commodities issued by global exchanges |