Consumer Goods Ultrasector Fund Market Value
| CNPIX Fund | USD 84.98 1.48 1.77% |
| Symbol | Consumer |
Consumer Goods '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 Goods' 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 Goods.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Consumer Goods on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Consumer Goods Ultrasector or generate 0.0% return on investment in Consumer Goods over 90 days. Consumer Goods is related to or competes with Sp Smallcap, Energy Services, RBB Fund, Mississippi Tax-free, SMART Earnings, and Wasatch International. The index is designed to measure the performance of consumer staples companies included in the SP 500 Index More
Consumer Goods 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 Goods' 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 Goods Ultrasector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8728 | |||
| Information Ratio | 0.2226 | |||
| Maximum Drawdown | 5.05 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 2.2 |
Consumer Goods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Consumer Goods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Consumer Goods' standard deviation. In reality, there are many statistical measures that can use Consumer Goods historical prices to predict the future Consumer Goods' volatility.| Risk Adjusted Performance | 0.2456 | |||
| Jensen Alpha | 0.3092 | |||
| Total Risk Alpha | 0.2209 | |||
| Sortino Ratio | 0.2912 | |||
| Treynor Ratio | 1.08 |
Consumer Goods February 9, 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 | 0.2456 | |||
| Market Risk Adjusted Performance | 1.09 | |||
| Mean Deviation | 0.927 | |||
| Semi Deviation | 0.3979 | |||
| Downside Deviation | 0.8728 | |||
| Coefficient Of Variation | 332.07 | |||
| Standard Deviation | 1.14 | |||
| Variance | 1.3 | |||
| Information Ratio | 0.2226 | |||
| Jensen Alpha | 0.3092 | |||
| Total Risk Alpha | 0.2209 | |||
| Sortino Ratio | 0.2912 | |||
| Treynor Ratio | 1.08 | |||
| Maximum Drawdown | 5.05 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 2.2 | |||
| Downside Variance | 0.7618 | |||
| Semi Variance | 0.1583 | |||
| Expected Short fall | (1.09) | |||
| Skewness | 0.4563 | |||
| Kurtosis | (0.27) |
Consumer Goods Ultra Backtested Returns
Consumer Goods appears to be very steady, given 3 months investment horizon. Consumer Goods Ultra secures Sharpe Ratio (or Efficiency) of 0.28, which signifies that the fund had a 0.28 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Consumer Goods Ultrasector, which you can use to evaluate the volatility of the entity. Please makes use of Consumer Goods' Mean Deviation of 0.927, downside deviation of 0.8728, and Risk Adjusted Performance of 0.2456 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.31, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Consumer Goods' returns are expected to increase less than the market. However, during the bear market, the loss of holding Consumer Goods is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
Consumer Goods Ultrasector has good predictability. Overlapping area represents the amount of predictability between Consumer Goods time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Goods Ultra price movement. The serial correlation of 0.66 indicates that around 66.0% of current Consumer Goods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 19.72 |
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 Goods 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 Goods security.
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