Graniteshares 2x Long Etf Market Value
| DLLL Etf | 29.41 8.93 43.60% |
| Symbol | GraniteShares |
The market value of GraniteShares 2x Long is measured differently than its book value, which is the value of GraniteShares that is recorded on the company's balance sheet. Investors also form their own opinion of GraniteShares' value that differs from its market value or its book value, called intrinsic value, which is GraniteShares' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because GraniteShares' market value can be influenced by many factors that don't directly affect GraniteShares' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between GraniteShares' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding GraniteShares should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, GraniteShares' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
GraniteShares '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 GraniteShares' 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 GraniteShares.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in GraniteShares on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding GraniteShares 2x Long or generate 0.0% return on investment in GraniteShares over 90 days. GraniteShares is related to or competes with Direxion Daily, MicroSectors Gold, T Rowe, Innovator Laddered, SEI Exchange, IShares Residential, and Innovator. GraniteShares is entity of United States More
GraniteShares 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 GraniteShares' 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 GraniteShares 2x Long upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.62 | |||
| Information Ratio | 0.078 | |||
| Maximum Drawdown | 30.91 | |||
| Value At Risk | (10.79) | |||
| Potential Upside | 8.86 |
GraniteShares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares' standard deviation. In reality, there are many statistical measures that can use GraniteShares historical prices to predict the future GraniteShares' volatility.| Risk Adjusted Performance | 0.0774 | |||
| Jensen Alpha | 0.4786 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.093 | |||
| Treynor Ratio | 0.2563 |
GraniteShares March 1, 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 | 0.0774 | |||
| Market Risk Adjusted Performance | 0.2663 | |||
| Mean Deviation | 4.95 | |||
| Semi Deviation | 6.13 | |||
| Downside Deviation | 6.62 | |||
| Coefficient Of Variation | 1119.16 | |||
| Standard Deviation | 7.89 | |||
| Variance | 62.33 | |||
| Information Ratio | 0.078 | |||
| Jensen Alpha | 0.4786 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.093 | |||
| Treynor Ratio | 0.2563 | |||
| Maximum Drawdown | 30.91 | |||
| Value At Risk | (10.79) | |||
| Potential Upside | 8.86 | |||
| Downside Variance | 43.83 | |||
| Semi Variance | 37.63 | |||
| Expected Short fall | (5.35) | |||
| Skewness | 2.15 | |||
| Kurtosis | 12.94 |
GraniteShares 2x Long Backtested Returns
GraniteShares appears to be somewhat reliable, given 3 months investment horizon. GraniteShares 2x Long holds Efficiency (Sharpe) Ratio of 0.0633, which attests that the entity had a 0.0633 % return per unit of standard deviation over the last 3 months. By evaluating GraniteShares' technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please utilize GraniteShares' risk adjusted performance of 0.0774, and Market Risk Adjusted Performance of 0.2663 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 2.71, which attests to 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, GraniteShares will likely underperform.
Auto-correlation | -0.45 |
Modest reverse predictability
GraniteShares 2x Long has modest reverse predictability. Overlapping area represents the amount of predictability between GraniteShares time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 GraniteShares 2x Long price movement. The serial correlation of -0.45 indicates that just about 45.0% of current GraniteShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 6.61 |
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GraniteShares 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.