Commodities Strategy Fund Technical Analysis
RYMEX Fund | USD 29.74 0.39 1.33% |
As of the 11th of December 2024, Commodities Strategy shows the Mean Deviation of 0.8736, downside deviation of 1.13, and Risk Adjusted Performance of 0.0562. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Commodities Strategy, as well as the relationship between them.
Commodities Strategy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Commodities, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CommoditiesCommodities |
Commodities Strategy technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Commodities Strategy Technical Analysis
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 Commodities Strategy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Commodities Strategy Trend Analysis
Use this graph to draw trend lines for Commodities Strategy Fund. You can use it to identify possible trend reversals for Commodities Strategy as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Commodities Strategy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Commodities Strategy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Commodities Strategy Fund applied against its price change over selected period. The best fit line has a slop of 0.0045 , which may suggest that Commodities Strategy Fund market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.78, which is the sum of squared deviations for the predicted Commodities Strategy price change compared to its average price change.About Commodities Strategy Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Commodities Strategy Fund on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Commodities Strategy Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Commodities Strategy price pattern first instead of the macroeconomic environment surrounding Commodities Strategy. By analyzing Commodities Strategy's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Commodities Strategy's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Commodities Strategy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Commodities Strategy December 11, 2024 Technical Indicators
Most technical analysis of Commodities 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 Commodities from various momentum indicators to cycle indicators. When you analyze Commodities charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
Risk Adjusted Performance | 0.0562 | |||
Market Risk Adjusted Performance | (0.26) | |||
Mean Deviation | 0.8736 | |||
Semi Deviation | 1.02 | |||
Downside Deviation | 1.13 | |||
Coefficient Of Variation | 1371.58 | |||
Standard Deviation | 1.11 | |||
Variance | 1.24 | |||
Information Ratio | (0.04) | |||
Jensen Alpha | 0.1017 | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | (0.27) | |||
Maximum Drawdown | 4.53 | |||
Value At Risk | (1.72) | |||
Potential Upside | 1.82 | |||
Downside Variance | 1.28 | |||
Semi Variance | 1.05 | |||
Expected Short fall | (0.95) | |||
Skewness | (0.18) | |||
Kurtosis | (0.28) |
Commodities Strategy December 11, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Commodities stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.00 | ||
Daily Balance Of Power | Huge | ||
Rate Of Daily Change | 1.01 | ||
Day Median Price | 29.74 | ||
Day Typical Price | 29.74 | ||
Price Action Indicator | 0.19 |
Other Information on Investing in Commodities Mutual Fund
Commodities Strategy financial ratios help investors to determine whether Commodities 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 Commodities with respect to the benefits of owning Commodities Strategy security.
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