Ft Vest Equity Etf Technical Analysis
| DGOC Etf | 31.30 0.04 0.13% |
As of the 19th of February, FT Vest owns the Downside Deviation of 0.2796, market risk adjusted performance of 1.38, and Standard Deviation of 0.2491. Our technical analysis interface provides you with a way to check timely technical drivers of FT Vest Equity, as well as the relationship between them.
FT Vest Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DGOC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DGOCFT Vest's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Investors evaluate FT Vest Equity using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Vest'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 Vest's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Vest's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Vest should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Vest's market price signifies the transaction level at which participants voluntarily complete trades.
FT 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 FT Vest'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 Vest.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in FT Vest on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding FT Vest Equity or generate 0.0% return on investment in FT Vest over 90 days. FT Vest is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Total, Vanguard Value, Vanguard Growth, and Vanguard Mid. FT Vest is entity of United States. It is traded as Etf on BATS exchange. More
FT 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 FT Vest'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 Vest Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2796 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 1.36 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.45 |
FT Vest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Vest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Vest's standard deviation. In reality, there are many statistical measures that can use FT Vest historical prices to predict the future FT Vest's volatility.| Risk Adjusted Performance | 0.0552 | |||
| Jensen Alpha | 0.0138 | |||
| Total Risk Alpha | 0.0027 | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 1.37 |
FT Vest February 19, 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 | 0.0552 | |||
| Market Risk Adjusted Performance | 1.38 | |||
| Mean Deviation | 0.1787 | |||
| Semi Deviation | 0.2036 | |||
| Downside Deviation | 0.2796 | |||
| Coefficient Of Variation | 1027.98 | |||
| Standard Deviation | 0.2491 | |||
| Variance | 0.062 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | 0.0138 | |||
| Total Risk Alpha | 0.0027 | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 1.37 | |||
| Maximum Drawdown | 1.36 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.45 | |||
| Downside Variance | 0.0782 | |||
| Semi Variance | 0.0415 | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.02) | |||
| Kurtosis | 1.15 |
FT Vest Equity Backtested Returns
At this point, FT Vest is very steady. FT Vest Equity retains Efficiency (Sharpe Ratio) of 0.21, which denotes the etf had a 0.21 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for FT Vest, which you can use to evaluate the volatility of the entity. Please confirm FT Vest's Downside Deviation of 0.2796, standard deviation of 0.2491, and Market Risk Adjusted Performance of 1.38 to check if the risk estimate we provide is consistent with the expected return of 0.0497%. The etf owns a Beta (Systematic Risk) of 0.0104, which means not very significant fluctuations relative to the market. As returns on the market increase, FT Vest's returns are expected to increase less than the market. However, during the bear market, the loss of holding FT Vest is expected to be smaller as well.
Auto-correlation | 0.22 |
Weak predictability
FT Vest Equity has weak predictability. Overlapping area represents the amount of predictability between FT Vest time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Vest Equity price movement. The serial correlation of 0.22 indicates that over 22.0% of current FT Vest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FT Vest 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.
FT Vest Equity Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 FT Vest Equity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About FT Vest 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 FT Vest Equity 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 FT Vest Equity based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on FT Vest Equity price pattern first instead of the macroeconomic environment surrounding FT Vest Equity. By analyzing FT Vest'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 FT Vest'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 FT Vest specific price patterns or momentum indicators. Please read more on our technical analysis page.
FT Vest February 19, 2026 Technical Indicators
Most technical analysis of DGOC 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 DGOC from various momentum indicators to cycle indicators. When you analyze DGOC 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 | 0.0552 | |||
| Market Risk Adjusted Performance | 1.38 | |||
| Mean Deviation | 0.1787 | |||
| Semi Deviation | 0.2036 | |||
| Downside Deviation | 0.2796 | |||
| Coefficient Of Variation | 1027.98 | |||
| Standard Deviation | 0.2491 | |||
| Variance | 0.062 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | 0.0138 | |||
| Total Risk Alpha | 0.0027 | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 1.37 | |||
| Maximum Drawdown | 1.36 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.45 | |||
| Downside Variance | 0.0782 | |||
| Semi Variance | 0.0415 | |||
| Expected Short fall | (0.18) | |||
| Skewness | (0.02) | |||
| Kurtosis | 1.15 |
FT Vest February 19, 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 DGOC 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 | 1.00 | ||
| Day Median Price | 31.30 | ||
| Day Typical Price | 31.30 | ||
| Price Action Indicator | (0.02) |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FT Vest Equity. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Investors evaluate FT Vest Equity using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Vest'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 Vest's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Vest's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Vest should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Vest's market price signifies the transaction level at which participants voluntarily complete trades.