Consumer Goods Ultrasector Fund Price on November 30, 2024
| CNPIX Fund | USD 81.17 0.55 0.68% |
Below is the normalized historical share price chart for Consumer Goods Ultrasector extending back to February 06, 2004. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Consumer Goods stands at 81.17, as last reported on the 30th of November, with the highest price reaching 81.17 and the lowest price hitting 81.17 during the day.
If you're considering investing in Consumer Mutual Fund, it is important to understand the factors that can impact its price. Consumer Goods Ultra secures Sharpe Ratio (or Efficiency) of -3.0E-4, which signifies that the fund had a -3.0E-4% return per unit of risk over the last 3 months. Consumer Goods Ultrasector exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Consumer Goods' Mean Deviation of 0.7301, downside deviation of 0.9741, and Risk Adjusted Performance of 0.0185 to double-check the risk estimate we provide.
Consumer Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Consumer |
Sharpe Ratio = -3.0E-4
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | CNPIX |
Estimated Market Risk
| 0.87 actual daily | 7 93% of assets are more volatile |
Expected Return
| 0.0 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.0 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Consumer Goods is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Consumer Goods by adding Consumer Goods to a well-diversified portfolio.
Consumer Goods Valuation on November 30, 2024
It is possible to determine the worth of Consumer Goods on a given historical date. On November 30, 2024 Consumer was worth 81.17 at the beginning of the trading date compared to the closed value of 81.17. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Consumer Goods mutual fund. Still, in general, we apply an absolute valuation method to find Consumer Goods' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Consumer Goods where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Consumer Goods' related companies.
| Open | High | Low | Close | Volume | |
| 81.17 | 81.17 | 81.17 | 81.17 | 1.00 | |
11/30/2024 | 81.17 | 81.17 | 81.17 | 81.17 | 0.00 |
| Backtest Consumer Goods | | | Consumer Goods History | | | Consumer Goods Valuation | Previous |
Consumer Goods Trading Date Momentum on November 30, 2024
| On November 30 2024 Consumer Goods Ultrasector was traded for 81.17 at the closing time. The highest daily price throughout the period was 81.17 and the lowest price was 81.17 . There was no trading activity during the period 0.0. Lack of trading volume on 11/30/2024 did not affect price variability. The overall trading delta to current closing price is 0.00% . |
Consumer Goods Ultra Fundamentals Correlations and Trends
By evaluating Consumer Goods' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Consumer Goods' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Consumer financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Consumer Goods Mutual Fund history
Consumer Goods investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Consumer is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Consumer Goods Ultra will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Consumer Goods stock prices may prove useful in developing a viable investing in Consumer Goods
The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns consistent with the Daily Target. The index is one of eleven SP Select Sector Indices, each designed to measure the performance of a sector of the SP 500. The fund is non-diversified.
Consumer Goods Mutual Fund Technical Analysis
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.
Price Boundaries
Consumer Goods Period Price Range
Low | November 30, 2024
| High |
0.00 | 0.00 |
Consumer Goods Ultrasector cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Consumer Goods November 30, 2024 Market Strength
Market strength indicators help investors to evaluate how Consumer Goods mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Consumer Goods shares will generate the highest return on investment. By undertsting and applying Consumer Goods mutual fund market strength indicators, traders can identify Consumer Goods Ultrasector entry and exit signals to maximize returns
Consumer Goods Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Consumer Goods' price direction in advance. Along with the technical and fundamental analysis of Consumer Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Consumer to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0185 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.0592 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |