Consumer Goods Ultrasector Fund Technical Analysis
| CNPIX Fund | USD 84.98 1.48 1.77% |
As of the 8th of February, Consumer Goods shows the Mean Deviation of 0.927, risk adjusted performance of 0.2456, and Downside Deviation of 0.8728. Consumer Goods Ultra technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Consumer Goods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Consumer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ConsumerConsumer |
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.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Consumer Goods on November 10, 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 8, 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 0.3, which signifies that the fund had a 0.3 % 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' Risk Adjusted Performance of 0.2456, downside deviation of 0.8728, and Mean Deviation of 0.927 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 | 0.77 |
Good predictability
Consumer Goods Ultrasector has good predictability. Overlapping area represents the amount of predictability between Consumer Goods time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 0.77 indicates that around 77.0% of current Consumer Goods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 19.72 |
Consumer Goods 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.
Consumer Goods Ultra Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Consumer Goods Ultra volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Consumer Goods 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 Consumer Goods Ultrasector 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 Consumer Goods Ultrasector based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Consumer Goods Ultra price pattern first instead of the macroeconomic environment surrounding Consumer Goods Ultra. By analyzing Consumer Goods'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 Consumer Goods'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 Consumer Goods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Consumer Goods February 8, 2026 Technical Indicators
Most technical analysis of Consumer 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 Consumer from various momentum indicators to cycle indicators. When you analyze Consumer 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 | 0.2456 | |||
| 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 One Year Return
Based on the recorded statements, Consumer Goods Ultrasector has an One Year Return of 4.0264%. This is 92.29% lower than that of the ProFunds family and 92.84% lower than that of the Trading--Leveraged Equity category. The one year return for all United States funds is 2.98% higher than that of the company.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Consumer Goods February 8, 2026 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 Consumer 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 | 1.02 | ||
| Day Median Price | 84.98 | ||
| Day Typical Price | 84.98 | ||
| Price Action Indicator | 0.74 |
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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