Ft Cboe Vest Etf Market Value
| XISE Etf | 30.22 0.00 0.00% |
| Symbol | XISE |
Investors evaluate FT Cboe Vest using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Cboe's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between FT Cboe's value and its price as these two are different measures arrived at by different means. Investors typically determine if FT Cboe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.
FT Cboe '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 FT Cboe's etf 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 FT Cboe.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in FT Cboe on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding FT Cboe Vest or generate 0.0% return on investment in FT Cboe over 90 days. FT Cboe is related to or competes with Innovator ETFs, Tema Monopolies, MRP SynthEquity, Cohen Steers, Innovator Growth, AIM ETF, and Impact Shares. FT Cboe is entity of United States. It is traded as Etf on BATS exchange. More
FT Cboe 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 FT Cboe's etf 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 FT Cboe Vest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1761 | |||
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 0.709 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.3055 |
FT Cboe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Cboe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Cboe's standard deviation. In reality, there are many statistical measures that can use FT Cboe historical prices to predict the future FT Cboe's volatility.| Risk Adjusted Performance | 0.0716 | |||
| Jensen Alpha | 0.012 | |||
| Total Risk Alpha | 0.0015 | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | 0.5344 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FT Cboe'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.
FT Cboe February 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0716 | |||
| Market Risk Adjusted Performance | 0.5444 | |||
| Mean Deviation | 0.1162 | |||
| Downside Deviation | 0.1761 | |||
| Coefficient Of Variation | 683.09 | |||
| Standard Deviation | 0.1596 | |||
| Variance | 0.0255 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | 0.012 | |||
| Total Risk Alpha | 0.0015 | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | 0.5344 | |||
| Maximum Drawdown | 0.709 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.3055 | |||
| Downside Variance | 0.031 | |||
| Semi Variance | (0.0001) | |||
| Expected Short fall | (0.12) | |||
| Skewness | 0.0723 | |||
| Kurtosis | 0.4472 |
FT Cboe Vest Backtested Returns
At this point, FT Cboe is very steady. FT Cboe Vest retains Efficiency (Sharpe Ratio) of 0.2, which denotes the etf had a 0.2 % return per unit of price deviation over the last 3 months. We have found twenty-six technical indicators for FT Cboe, which you can use to evaluate the volatility of the entity. Please confirm FT Cboe's Variance of 0.0255, coefficient of variation of 683.09, and Market Risk Adjusted Performance of 0.5444 to check if the risk estimate we provide is consistent with the expected return of 0.0313%. The etf owns a Beta (Systematic Risk) of 0.025, which means not very significant fluctuations relative to the market. As returns on the market increase, FT Cboe's returns are expected to increase less than the market. However, during the bear market, the loss of holding FT Cboe is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
FT Cboe Vest has good predictability. Overlapping area represents the amount of predictability between FT Cboe time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 FT Cboe Vest price movement. The serial correlation of 0.66 indicates that around 66.0% of current FT Cboe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.When determining whether FT Cboe Vest is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if XISE Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ft Cboe Vest Etf. Highlighted below are key reports to facilitate an investment decision about Ft Cboe Vest Etf:Check out FT Cboe Correlation, FT Cboe Volatility and FT Cboe Performance module to complement your research on FT Cboe. You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
FT Cboe technical etf 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, etf market cycles, or different charting patterns.