Uscf Etf Trust Etf Technical Analysis
| UDI Etf | USD 34.54 0.24 0.70% |
As of the 15th of February 2026, USCF ETF owns the downside deviation of 0.5815, and Risk Adjusted Performance of 0.2239. In relation to fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of USCF ETF Trust, as well as the relationship between them.
USCF ETF Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as USCF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to USCFUSCF ETF'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.Understanding USCF ETF Trust requires distinguishing between market price and book value, where the latter reflects USCF's accounting equity. The concept of intrinsic value - what USCF ETF's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push USCF ETF's price substantially above or below its fundamental value.
Please note, there is a significant difference between USCF ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if USCF ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, USCF ETF's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
USCF ETF '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 USCF ETF'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 USCF ETF.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in USCF ETF on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding USCF ETF Trust or generate 0.0% return on investment in USCF ETF over 90 days. USCF ETF is related to or competes with Invesco MSCI, Macquarie Focused, Bank of Montreal, IShares Environmental, Advisors Series, Renaissance International, and Series Portfolios. USCF ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
USCF ETF 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 USCF ETF'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 USCF ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5815 | |||
| Information Ratio | 0.1731 | |||
| Maximum Drawdown | 3.22 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.24 |
USCF ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for USCF ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as USCF ETF's standard deviation. In reality, there are many statistical measures that can use USCF ETF historical prices to predict the future USCF ETF's volatility.| Risk Adjusted Performance | 0.2239 | |||
| Jensen Alpha | 0.1381 | |||
| Total Risk Alpha | 0.1244 | |||
| Sortino Ratio | 0.1941 | |||
| Treynor Ratio | 0.2989 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of USCF ETF'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.
USCF ETF February 15, 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 | 0.2239 | |||
| Market Risk Adjusted Performance | 0.3089 | |||
| Mean Deviation | 0.5134 | |||
| Semi Deviation | 0.2571 | |||
| Downside Deviation | 0.5815 | |||
| Coefficient Of Variation | 356.64 | |||
| Standard Deviation | 0.6519 | |||
| Variance | 0.425 | |||
| Information Ratio | 0.1731 | |||
| Jensen Alpha | 0.1381 | |||
| Total Risk Alpha | 0.1244 | |||
| Sortino Ratio | 0.1941 | |||
| Treynor Ratio | 0.2989 | |||
| Maximum Drawdown | 3.22 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.24 | |||
| Downside Variance | 0.3382 | |||
| Semi Variance | 0.0661 | |||
| Expected Short fall | (0.61) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2402 |
USCF ETF Trust Backtested Returns
USCF ETF is very steady at the moment. USCF ETF Trust retains Efficiency (Sharpe Ratio) of 0.3, which indicates the etf had a 0.3 % return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for USCF ETF, which you can use to evaluate the volatility of the etf. Please validate USCF ETF's downside deviation of 0.5815, and Risk Adjusted Performance of 0.2239 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity owns a Beta (Systematic Risk) of 0.58, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, USCF ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding USCF ETF is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
USCF ETF Trust has very good predictability. Overlapping area represents the amount of predictability between USCF ETF time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 USCF ETF Trust price movement. The serial correlation of 0.82 indicates that around 82.0% of current USCF ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.85 |
USCF ETF 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.
USCF ETF Trust Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for USCF ETF Trust across different markets.
About USCF ETF 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 USCF ETF Trust 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 USCF ETF Trust based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on USCF ETF Trust price pattern first instead of the macroeconomic environment surrounding USCF ETF Trust. By analyzing USCF ETF'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 USCF ETF'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 USCF ETF specific price patterns or momentum indicators. Please read more on our technical analysis page.
USCF ETF February 15, 2026 Technical Indicators
Most technical analysis of USCF 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 USCF from various momentum indicators to cycle indicators. When you analyze USCF 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 | 0.2239 | |||
| Market Risk Adjusted Performance | 0.3089 | |||
| Mean Deviation | 0.5134 | |||
| Semi Deviation | 0.2571 | |||
| Downside Deviation | 0.5815 | |||
| Coefficient Of Variation | 356.64 | |||
| Standard Deviation | 0.6519 | |||
| Variance | 0.425 | |||
| Information Ratio | 0.1731 | |||
| Jensen Alpha | 0.1381 | |||
| Total Risk Alpha | 0.1244 | |||
| Sortino Ratio | 0.1941 | |||
| Treynor Ratio | 0.2989 | |||
| Maximum Drawdown | 3.22 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.24 | |||
| Downside Variance | 0.3382 | |||
| Semi Variance | 0.0661 | |||
| Expected Short fall | (0.61) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2402 |
USCF ETF February 15, 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 USCF 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 | 1.01 | ||
| Day Median Price | 34.54 | ||
| Day Typical Price | 34.54 | ||
| Price Action Indicator | 0.12 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in USCF ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in unemployment. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Understanding USCF ETF Trust requires distinguishing between market price and book value, where the latter reflects USCF's accounting equity. The concept of intrinsic value - what USCF ETF's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push USCF ETF's price substantially above or below its fundamental value.
Please note, there is a significant difference between USCF ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if USCF ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, USCF ETF's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.