Graniteshares 2x Long Etf Market Value
| AMDL Etf | 12.74 7.21 36.14% |
| Symbol | GraniteShares |
Understanding GraniteShares 2x Long requires distinguishing between market price and book value, where the latter reflects GraniteShares's accounting equity. The concept of intrinsic value - what GraniteShares' is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push GraniteShares' price substantially above or below its fundamental value.
Understanding that GraniteShares' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether GraniteShares represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, GraniteShares' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
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.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in GraniteShares on November 6, 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 GraniteShares, Goldman Sachs, IShares Trust, Global X, Global X, IShares Paris, and Tidal Trust. 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.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 33.62 | |||
| Value At Risk | (10.42) | |||
| Potential Upside | 12.47 |
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 | 4.0E-4 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 0.1194 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares' 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.
GraniteShares February 4, 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 | 4.0E-4 | |||
| Market Risk Adjusted Performance | 0.1294 | |||
| Mean Deviation | 4.83 | |||
| Coefficient Of Variation | (8,678) | |||
| Standard Deviation | 6.6 | |||
| Variance | 43.57 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 0.1194 | |||
| Maximum Drawdown | 33.62 | |||
| Value At Risk | (10.42) | |||
| Potential Upside | 12.47 | |||
| Skewness | 0.1974 | |||
| Kurtosis | 0.5798 |
GraniteShares 2x Long Backtested Returns
As of now, GraniteShares Etf is somewhat reliable. GraniteShares 2x Long holds Efficiency (Sharpe) Ratio of 0.0275, which attests that the entity had a 0.0275 % return per unit of standard deviation over the last 3 months. We have found twenty-four technical indicators for GraniteShares 2x Long, which you can use to evaluate the volatility of the entity. Please check out GraniteShares' risk adjusted performance of 4.0E-4, and Market Risk Adjusted Performance of 0.1294 to validate if the risk estimate we provide is consistent with the expected return of 0.18%. The etf retains a Market Volatility (i.e., Beta) of -0.72, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning GraniteShares are expected to decrease at a much lower rate. During the bear market, GraniteShares is likely to outperform the market.
Auto-correlation | -0.09 |
Very weak reverse predictability
GraniteShares 2x Long has very weak reverse predictability. Overlapping area represents the amount of predictability between GraniteShares time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 GraniteShares 2x Long price movement. The serial correlation of -0.09 indicates that less than 9.0% of current GraniteShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 7.32 |
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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.