Consumer Products Fund Market Value
| RYCIX Fund | USD 129.77 0.52 0.40% |
| Symbol | Consumer |
Consumer Products 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Consumer Products' mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Consumer Products.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Consumer Products on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Consumer Products Fund or generate 0.0% return on investment in Consumer Products over 90 days. Consumer Products is related to or competes with Consumer Products, Internet Fund, Guggenheim Alpha, Small-cap Growth, Guggenheim Alpha, Tcw Conservative, and Utilities Fund. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Consumer Produc... More
Consumer Products Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Consumer Products' mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Consumer Products Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7031 | |||
| Information Ratio | 0.1251 | |||
| Maximum Drawdown | 18.79 | |||
| Value At Risk | (0.98) | |||
| Potential Upside | 1.41 |
Consumer Products Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Consumer Products' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Consumer Products' standard deviation. In reality, there are many statistical measures that can use Consumer Products historical prices to predict the future Consumer Products' volatility.| Risk Adjusted Performance | 0.1162 | |||
| Jensen Alpha | 0.3408 | |||
| Total Risk Alpha | 0.1906 | |||
| Sortino Ratio | 0.4112 | |||
| Treynor Ratio | (2.58) |
Consumer Products February 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1162 | |||
| Market Risk Adjusted Performance | (2.57) | |||
| Mean Deviation | 0.916 | |||
| Semi Deviation | 0.2101 | |||
| Downside Deviation | 0.7031 | |||
| Coefficient Of Variation | 670.29 | |||
| Standard Deviation | 2.31 | |||
| Variance | 5.34 | |||
| Information Ratio | 0.1251 | |||
| Jensen Alpha | 0.3408 | |||
| Total Risk Alpha | 0.1906 | |||
| Sortino Ratio | 0.4112 | |||
| Treynor Ratio | (2.58) | |||
| Maximum Drawdown | 18.79 | |||
| Value At Risk | (0.98) | |||
| Potential Upside | 1.41 | |||
| Downside Variance | 0.4944 | |||
| Semi Variance | 0.0441 | |||
| Expected Short fall | (1.27) | |||
| Skewness | 6.73 | |||
| Kurtosis | 51.14 |
Consumer Products Backtested Returns
Consumer Products appears to be very steady, given 3 months investment horizon. Consumer Products secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the fund had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Consumer Products Fund, which you can use to evaluate the volatility of the entity. Please makes use of Consumer Products' Risk Adjusted Performance of 0.1162, mean deviation of 0.916, and Downside Deviation of 0.7031 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of -0.13, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Consumer Products are expected to decrease at a much lower rate. During the bear market, Consumer Products is likely to outperform the market.
Auto-correlation | 0.66 |
Good predictability
Consumer Products Fund has good predictability. Overlapping area represents the amount of predictability between Consumer Products time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Consumer Products price movement. The serial correlation of 0.66 indicates that around 66.0% of current Consumer Products price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 10.33 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Consumer Mutual Fund
Consumer Products financial ratios help investors to determine whether Consumer 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 Consumer with respect to the benefits of owning Consumer Products security.
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