Qraft Ai Enhanced Large Etf Market Value
| AMOM Etf | USD 51.41 0.32 0.63% |
| Symbol | QRAFT |
Investors evaluate QRAFT AI Enhanced using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating QRAFT AI'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 QRAFT AI's market price to deviate significantly from intrinsic value.
Understanding that QRAFT AI's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether QRAFT AI represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, QRAFT AI's market price signifies the transaction level at which participants voluntarily complete trades.
QRAFT AI '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 QRAFT AI'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 QRAFT AI.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in QRAFT AI on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding QRAFT AI Enhanced Large or generate 0.0% return on investment in QRAFT AI over 90 days. QRAFT AI is related to or competes with Vanguard Small, Vanguard Small, IShares SP, Vanguard Mid, Vanguard Dividend, IShares Russell, and Vanguard Mid. The fund is an actively-managed ETF that seeks to achieve its investment objective by utilizing an investment strategy e... More
QRAFT AI 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 QRAFT AI'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 QRAFT AI Enhanced Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | 0.0119 | |||
| Maximum Drawdown | 6.8 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 2.05 |
QRAFT AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QRAFT AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QRAFT AI's standard deviation. In reality, there are many statistical measures that can use QRAFT AI historical prices to predict the future QRAFT AI's volatility.| Risk Adjusted Performance | 0.0427 | |||
| Jensen Alpha | 0.0106 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0102 | |||
| Treynor Ratio | 0.0521 |
QRAFT AI February 18, 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 | 0.0427 | |||
| Market Risk Adjusted Performance | 0.0621 | |||
| Mean Deviation | 1.05 | |||
| Semi Deviation | 1.6 | |||
| Downside Deviation | 1.72 | |||
| Coefficient Of Variation | 2085.37 | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.17 | |||
| Information Ratio | 0.0119 | |||
| Jensen Alpha | 0.0106 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0102 | |||
| Treynor Ratio | 0.0521 | |||
| Maximum Drawdown | 6.8 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 2.05 | |||
| Downside Variance | 2.96 | |||
| Semi Variance | 2.56 | |||
| Expected Short fall | (0.98) | |||
| Skewness | (0.11) | |||
| Kurtosis | 1.49 |
QRAFT AI Enhanced Backtested Returns
QRAFT AI appears to be very steady, given 3 months investment horizon. QRAFT AI Enhanced retains Efficiency (Sharpe Ratio) of 0.15, which implies the entity had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for QRAFT AI, which you can use to evaluate the volatility of the etf. Please evaluate QRAFT AI's semi deviation of 1.6, and Market Risk Adjusted Performance of 0.0621 to confirm if our risk estimates are consistent with your expectations. The etf owns a Beta (Systematic Risk) of 1.16, which implies 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, QRAFT AI will likely underperform.
Auto-correlation | 0.31 |
Below average predictability
QRAFT AI Enhanced Large has below average predictability. Overlapping area represents the amount of predictability between QRAFT AI time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 QRAFT AI Enhanced price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current QRAFT AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
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Try AI Portfolio ProphetCheck out QRAFT AI Correlation, QRAFT AI Volatility and QRAFT AI Performance module to complement your research on QRAFT AI. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
QRAFT AI 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.