Small Cap Profund Small Cap Fund Market Value
| SLPIX Fund | USD 131.81 0.56 0.43% |
| Symbol | Small-cap |
Small-cap Profund '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 Small-cap Profund's mutual fund 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 Small-cap Profund.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Small-cap Profund on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Small Cap Profund Small Cap or generate 0.0% return on investment in Small-cap Profund over 90 days. Small-cap Profund is related to or competes with Short Real, Short Real, Ultrashort Mid-cap, Ultrashort Mid-cap, Technology Ultrasector, Technology Ultrasector, and Large Cap. The fund invests in financial instruments that the fund Advisors believes, in combination, should track the performance ... More
Small-cap Profund 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 Small-cap Profund's mutual fund 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 Small Cap Profund Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.0658 | |||
| Maximum Drawdown | 5.59 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 1.98 |
Small-cap Profund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small-cap Profund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small-cap Profund's standard deviation. In reality, there are many statistical measures that can use Small-cap Profund historical prices to predict the future Small-cap Profund's volatility.| Risk Adjusted Performance | 0.0861 | |||
| Jensen Alpha | 0.0717 | |||
| Total Risk Alpha | 0.0601 | |||
| Sortino Ratio | 0.0667 | |||
| Treynor Ratio | 0.096 |
Small-cap Profund February 19, 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 | 0.0861 | |||
| Market Risk Adjusted Performance | 0.106 | |||
| Mean Deviation | 0.9355 | |||
| Semi Deviation | 1.05 | |||
| Downside Deviation | 1.19 | |||
| Coefficient Of Variation | 957.7 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.46 | |||
| Information Ratio | 0.0658 | |||
| Jensen Alpha | 0.0717 | |||
| Total Risk Alpha | 0.0601 | |||
| Sortino Ratio | 0.0667 | |||
| Treynor Ratio | 0.096 | |||
| Maximum Drawdown | 5.59 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 1.98 | |||
| Downside Variance | 1.42 | |||
| Semi Variance | 1.11 | |||
| Expected Short fall | (1.01) | |||
| Skewness | 0.1154 | |||
| Kurtosis | 0.3625 |
Small Cap Profund Backtested Returns
At this stage we consider Small-cap Mutual Fund to be very steady. Small Cap Profund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the fund had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Small Cap Profund Small Cap, which you can use to evaluate the volatility of the fund. Please validate Small-cap Profund's Risk Adjusted Performance of 0.0861, coefficient of variation of 957.7, and Semi Deviation of 1.05 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity has a beta of 1.21, 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, Small-cap Profund will likely underperform.
Auto-correlation | 0.61 |
Good predictability
Small Cap Profund Small Cap has good predictability. Overlapping area represents the amount of predictability between Small-cap Profund time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Small Cap Profund price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Small-cap Profund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 3.59 |
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.Other Information on Investing in Small-cap Mutual Fund
Small-cap Profund financial ratios help investors to determine whether Small-cap Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Small-cap with respect to the benefits of owning Small-cap Profund security.
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