Sp Funds Trust Etf Market Value
| SPTE Etf | 26.62 0.28 1.06% |
| Symbol | SPTE |
The market value of SP Funds Trust is measured differently than its book value, which is the value of SPTE that is recorded on the company's balance sheet. Investors also form their own opinion of SP Funds' value that differs from its market value or its book value, called intrinsic value, which is SP Funds' 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 SP Funds' market value can be influenced by many factors that don't directly affect SP Funds' 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 SP Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if SP Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SP Funds' 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.
SP Funds '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 SP Funds' 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 SP Funds.
| 02/17/2025 |
| 03/19/2025 |
If you would invest 0.00 in SP Funds on February 17, 2025 and sell it all today you would earn a total of 0.00 from holding SP Funds Trust or generate 0.0% return on investment in SP Funds over 30 days. SP Funds is related to or competes with First Trust, IShares Expanded, Invesco Dynamic, Invesco DWA, ProShares UltraShort, ProShares Ultra, and ProShares UltraShort. SP Funds is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
SP Funds 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 SP Funds' 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 SP Funds Trust upside and downside potential and time the market with a certain degree of confidence.
| Maximum Drawdown | 8.81 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 2.49 |
SP Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SP Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SP Funds' standard deviation. In reality, there are many statistical measures that can use SP Funds historical prices to predict the future SP Funds' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 0.0865 | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SP Funds' 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.
SP Funds Trust Backtested Returns
SP Funds Trust retains Efficiency (Sharpe Ratio) of -0.0412, which indicates the etf had a -0.0412 % return per unit of price deviation over the last 3 months. SP Funds exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SP Funds' Risk Adjusted Performance of (0.04), standard deviation of 1.67, and Mean Deviation of 1.23 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.85, which indicates possible diversification benefits within a given portfolio. SP Funds returns are very sensitive to returns on the market. As the market goes up or down, SP Funds is expected to follow.
Auto-correlation | 0.49 |
Average predictability
SP Funds Trust has average predictability. Overlapping area represents the amount of predictability between SP Funds time series from 17th of February 2025 to 4th of March 2025 and 4th of March 2025 to 19th of March 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 SP Funds Trust price movement. The serial correlation of 0.49 indicates that about 49.0% of current SP Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
SP Funds Trust lagged returns against current returns
Autocorrelation, which is SP Funds 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 SP Funds' etf expected returns. We can calculate the autocorrelation of SP Funds returns to help us make a trade decision. For example, suppose you find that SP Funds 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 |
SP Funds 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 SP Funds etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SP Funds etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SP Funds etf over time.
Current vs Lagged Prices |
| Timeline |
SP Funds Lagged Returns
When evaluating SP Funds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SP Funds etf have on its future price. SP Funds 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, SP Funds autocorrelation shows the relationship between SP Funds etf current value and its past values and can show if there is a momentum factor associated with investing in SP Funds Trust.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SP Funds Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SP Funds' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sp Funds Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Sp Funds Trust Etf:Check out SP Funds Correlation, SP Funds Volatility and SP Funds Alpha and Beta module to complement your research on SP Funds. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
SP Funds 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.