Cboe Vest Bitcoin Fund Market Value

BTCYX Fund  USD 30.62  1.51  5.19%   
Cboe Vest's market value is the price at which a share of Cboe Vest trades on a public exchange. It measures the collective expectations of Cboe Vest Bitcoin investors about its performance. Cboe Vest is trading at 30.62 as of the 25th of December 2024; that is 5.19 percent up since the beginning of the trading day. The fund's open price was 29.11.
With this module, you can estimate the performance of a buy and hold strategy of Cboe Vest Bitcoin and determine expected loss or profit from investing in Cboe Vest over a given investment horizon. Check out Cboe Vest Correlation, Cboe Vest Volatility and Cboe Vest Alpha and Beta module to complement your research on Cboe Vest.
Symbol

Please note, there is a significant difference between Cboe Vest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cboe Vest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cboe Vest's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Cboe Vest '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 Cboe Vest's 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 Cboe Vest.
0.00
06/28/2024
No Change 0.00  0.0 
In 5 months and 30 days
12/25/2024
0.00
If you would invest  0.00  in Cboe Vest on June 28, 2024 and sell it all today you would earn a total of 0.00 from holding Cboe Vest Bitcoin or generate 0.0% return on investment in Cboe Vest over 180 days. Cboe Vest is related to or competes with Vest Large, Cboe Vest, Cboe Vest, Cboe Vest, Cboe Vest, Cboe Vest, and Cboe Vest. The adviser seeks to achieve total return by constructing a dynamic portfolio with the aim of both managing the volatili... More

Cboe Vest 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 Cboe Vest's 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 Cboe Vest Bitcoin upside and downside potential and time the market with a certain degree of confidence.

Cboe Vest Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Cboe Vest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cboe Vest's standard deviation. In reality, there are many statistical measures that can use Cboe Vest historical prices to predict the future Cboe Vest's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cboe Vest's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
27.6430.6233.60
Details
Intrinsic
Valuation
LowRealHigh
29.0832.0635.04
Details
Naive
Forecast
LowNextHigh
27.7530.7233.70
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.3830.5838.78
Details

Cboe Vest Bitcoin Backtested Returns

Cboe Vest appears to be very steady, given 3 months investment horizon. Cboe Vest Bitcoin secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the fund had a 0.21% return per unit of risk over the last 3 months. By analyzing Cboe Vest's technical indicators, you can evaluate if the expected return of 0.61% is justified by implied risk. Please makes use of Cboe Vest's Downside Deviation of 2.33, mean deviation of 2.22, and Risk Adjusted Performance of 0.1754 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.7, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Cboe Vest will likely underperform.

Auto-correlation

    
  -0.16  

Insignificant reverse predictability

Cboe Vest Bitcoin has insignificant reverse predictability. Overlapping area represents the amount of predictability between Cboe Vest time series from 28th of June 2024 to 26th of September 2024 and 26th of September 2024 to 25th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cboe Vest Bitcoin price movement. The serial correlation of -0.16 indicates that over 16.0% of current Cboe Vest price fluctuation can be explain by its past prices.
Correlation Coefficient-0.16
Spearman Rank Test-0.04
Residual Average0.0
Price Variance17.71

Cboe Vest Bitcoin lagged returns against current returns

Autocorrelation, which is Cboe Vest mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Cboe Vest's mutual fund expected returns. We can calculate the autocorrelation of Cboe Vest returns to help us make a trade decision. For example, suppose you find that Cboe Vest has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Cboe Vest regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Cboe Vest mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cboe Vest mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cboe Vest mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Cboe Vest Lagged Returns

When evaluating Cboe Vest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cboe Vest mutual fund have on its future price. Cboe Vest autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Cboe Vest autocorrelation shows the relationship between Cboe Vest mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Cboe Vest Bitcoin.
   Regressed Prices   
       Timeline  

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 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
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities