Uscf Etf Trust Etf Market Value
| ZSC Etf | 22.74 0.01 0.04% |
| Symbol | USCF |
The market value of USCF ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is USCF ETF'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 ETF's market value can be influenced by many factors that don't directly affect USCF ETF'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 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. However, USCF ETF'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 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.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in USCF ETF on December 19, 2024 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 30 days. USCF ETF is related to or competes with Freedom Day, IShares MSCI, SmartETFs Dividend, Listed Funds, Global X, First Trust, and Vanguard Total. 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.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.86 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 0.7898 |
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 | (0.06) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.42) |
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 Trust Backtested Returns
USCF ETF Trust retains Efficiency (Sharpe Ratio) of -0.0416, which indicates the etf had a -0.0416% return per unit of volatility over the last 3 months. USCF ETF exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate USCF ETF's risk adjusted performance of (0.06), and Standard Deviation of 0.6443 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.14, which indicates not very significant fluctuations relative to the market. 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 | 0.35 |
Below average predictability
USCF ETF Trust has below average predictability. Overlapping area represents the amount of predictability between USCF ETF time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th of January 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 ETF Trust price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current USCF ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
USCF ETF Trust lagged returns against current returns
Autocorrelation, which is USCF ETF 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 ETF's etf expected returns. We can calculate the autocorrelation of USCF ETF returns to help us make a trade decision. For example, suppose you find that USCF ETF 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 ETF 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 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if USCF ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in USCF ETF etf over time.
Current vs Lagged Prices |
| Timeline |
USCF ETF Lagged Returns
When evaluating USCF ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of USCF ETF etf have on its future price. USCF ETF 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 ETF autocorrelation shows the relationship between USCF ETF etf current value and its past values and can show if there is a momentum factor associated with investing in USCF ETF Trust.
Regressed Prices |
| Timeline |
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Check out USCF ETF Correlation, USCF ETF Volatility and USCF ETF Alpha and Beta module to complement your research on USCF ETF. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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.