Cboe Vest Sp Fund Price on February 27, 3100
| KNGIX Fund | USD 13.14 0.01 0.08% |
Below is the normalized historical share price chart for Cboe Vest Sp extending back to September 11, 2017. 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 Cboe Vest stands at 13.14, as last reported on the 2nd of December, with the highest price reaching 13.14 and the lowest price hitting 13.14 during the day.
If you're considering investing in Cboe Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Cboe Mutual Fund to be very steady. Cboe Vest Sp secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Cboe Vest Sp, which you can use to evaluate the volatility of the entity. Please confirm Cboe Vest's Risk Adjusted Performance of 0.0887, downside deviation of 0.5463, and Mean Deviation of 0.4515 to double-check if the risk estimate we provide is consistent with the expected return of 0.0584%.
Cboe Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Cboe |
Sharpe Ratio = 0.1076
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| Cash | KNGIX | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
| 0.54 actual daily | 4 96% of assets are more volatile |
Expected Return
| 0.06 actual daily | 1 99% of assets have higher returns |
Risk-Adjusted Return
| 0.11 actual daily | 8 92% of assets perform better |
Based on monthly moving average Cboe Vest is performing at about 8% of its full potential. 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 Cboe Vest by adding it to a well-diversified portfolio.
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.
About Cboe Vest Mutual Fund history
Cboe Vest 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 Cboe is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Cboe Vest Sp 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 Cboe Vest stock prices may prove useful in developing a viable investing in Cboe Vest
The fund employs an investment approach designed to track the performance of the index before fees and expenses. The index is designed with the primary goal of generating an annualized level of income that is approximately 10 percent over the annual dividend yield of the SP 500 Index and a secondary goal of generating price returns that are proportional to the price returns of the SP 500 Index.
Cboe Vest Mutual Fund Technical Analysis
Cboe Vest 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
Cboe Vest Period Price Range
Low | December 2, 2024
| High |
0.00 | 0.00 |
Cboe Vest Sp 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.
Cboe Vest December 2, 2024 Market Strength
Market strength indicators help investors to evaluate how Cboe Vest 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 Cboe Vest shares will generate the highest return on investment. By undertsting and applying Cboe Vest mutual fund market strength indicators, traders can identify Cboe Vest Sp entry and exit signals to maximize returns
Cboe Vest Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Cboe Vest's price direction in advance. Along with the technical and fundamental analysis of Cboe Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Cboe 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 | 0.0887 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1009 |
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Other Information on Investing in Cboe Mutual Fund
Cboe Vest financial ratios help investors to determine whether Cboe 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 Cboe with respect to the benefits of owning Cboe Vest security.
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |