Sp Funds Sp Etf Market Value
| SPUS Etf | USD 51.06 0.63 1.22% |
| Symbol | SPUS |
SP Funds SP's market price often diverges from its book value, the accounting figure shown on SPUS's balance sheet. Smart investors calculate SP Funds' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since SP Funds' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental 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.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in SP Funds on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding SP Funds SP or generate 0.0% return on investment in SP Funds over 90 days. SP Funds is related to or competes with JPMorgan Momentum, Invesco SP, IShares Industrials, Innovator Defined, IShares MSCI, T Rowe, and IShares Russell. The index is composed of the constituents of the SP 500 Shariah Index other than those from the following sub-industries... 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 SP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 4.29 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.23 |
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 | (0.02) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.05) |
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 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 0.6264 | |||
| Coefficient Of Variation | (3,288) | |||
| Standard Deviation | 0.8491 | |||
| Variance | 0.721 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 4.29 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.23 | |||
| Skewness | (0.39) | |||
| Kurtosis | 0.6231 |
SP Funds SP Backtested Returns
Currently, SP Funds SP is very steady. SP Funds SP retains Efficiency (Sharpe Ratio) of 0.035, which indicates the etf had a 0.035 % return per unit of price deviation over the last 3 months. We have found twenty-three technical indicators for SP Funds, which you can use to evaluate the volatility of the etf. Please validate SP Funds' Standard Deviation of 0.8491, mean deviation of 0.6264, and Risk Adjusted Performance of (0.02) to confirm if the risk estimate we provide is consistent with the expected return of 0.0295%. The entity owns a Beta (Systematic Risk) of 0.71, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SP Funds' returns are expected to increase less than the market. However, during the bear market, the loss of holding SP Funds is expected to be smaller as well.
Auto-correlation | 0.31 |
Below average predictability
SP Funds SP has below average predictability. Overlapping area represents the amount of predictability between SP Funds 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 SP Funds SP price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current SP Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Thematic Opportunities
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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.