Uscf Daily Target Etf Market Value
| CPXR Etf | 25.56 0.04 0.16% |
| Symbol | USCF |
The market value of USCF Daily Target is measured differently than its book value, which is the value of USCF that is recorded on the company's balance sheet. Investors also form their own opinion of USCF Daily's value that differs from its market value or its book value, called intrinsic value, which is USCF Daily's 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 USCF Daily's market value can be influenced by many factors that don't directly affect USCF Daily's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between USCF Daily's value and its price as these two are different measures arrived at by different means. Investors typically determine if USCF Daily is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, USCF Daily's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
USCF Daily '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 Daily'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 Daily.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in USCF Daily on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding USCF Daily Target or generate 0.0% return on investment in USCF Daily over 180 days. USCF Daily is related to or competes with Strategy Shares, Horizon Flexible, GraniteShares, Horizon Digital, Pacer Funds, STKd 100, and Strategy Shares. USCF Daily is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
USCF Daily 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 Daily'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 Daily Target upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.12 | |||
| Information Ratio | 0.1494 | |||
| Maximum Drawdown | 16.88 | |||
| Value At Risk | (4.94) | |||
| Potential Upside | 5.76 |
USCF Daily Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for USCF Daily's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as USCF Daily's standard deviation. In reality, there are many statistical measures that can use USCF Daily historical prices to predict the future USCF Daily's volatility.| Risk Adjusted Performance | 0.1281 | |||
| Jensen Alpha | 0.3919 | |||
| Total Risk Alpha | 0.263 | |||
| Sortino Ratio | 0.148 | |||
| Treynor Ratio | 0.2372 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of USCF Daily'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 Daily Target Backtested Returns
USCF Daily appears to be not too volatile, given 3 months investment horizon. USCF Daily Target retains Efficiency (Sharpe Ratio) of 0.16, which indicates the etf had a 0.16 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for USCF Daily, which you can use to evaluate the volatility of the etf. Please review USCF Daily's downside deviation of 3.12, and Risk Adjusted Performance of 0.1281 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 2.19, which indicates 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, USCF Daily will likely underperform.
Auto-correlation | -0.36 |
Poor reverse predictability
USCF Daily Target has poor reverse predictability. Overlapping area represents the amount of predictability between USCF Daily time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 2025. 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 Daily Target price movement. The serial correlation of -0.36 indicates that just about 36.0% of current USCF Daily price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 1.99 |
USCF Daily Target lagged returns against current returns
Autocorrelation, which is USCF Daily etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting USCF Daily's etf expected returns. We can calculate the autocorrelation of USCF Daily returns to help us make a trade decision. For example, suppose you find that USCF Daily has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
USCF Daily regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If USCF Daily etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if USCF Daily etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in USCF Daily etf over time.
Current vs Lagged Prices |
| Timeline |
USCF Daily Lagged Returns
When evaluating USCF Daily's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of USCF Daily etf have on its future price. USCF Daily autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, USCF Daily autocorrelation shows the relationship between USCF Daily etf current value and its past values and can show if there is a momentum factor associated with investing in USCF Daily Target.
Regressed Prices |
| Timeline |
When determining whether USCF Daily Target is a strong investment it is important to analyze USCF Daily's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact USCF Daily's future performance. For an informed investment choice regarding USCF Etf, refer to the following important reports:
Check out USCF Daily Correlation, USCF Daily Volatility and USCF Daily Alpha and Beta module to complement your research on USCF Daily. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
USCF Daily 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.