Science Technology Fund Market Value
| USSCX Fund | USD 30.54 0.75 2.40% |
| Symbol | Science |
Science Technology '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 Science Technology'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 Science Technology.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Science Technology on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Science Technology Fund or generate 0.0% return on investment in Science Technology over 90 days. Science Technology is related to or competes with Victory Diversified, Victory Sycamore, Victory Incore, Victory Integrity, Victory Integrity, Victory Munder, and Victory Incore. The fund normally invests at least 80 percent of its assets in equity securities of companies expected to benefit from t... More
Science Technology 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 Science Technology'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 Science Technology Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.6 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 9.96 | |||
| Value At Risk | (2.40) | |||
| Potential Upside | 2.42 |
Science Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Science Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Science Technology's standard deviation. In reality, there are many statistical measures that can use Science Technology historical prices to predict the future Science Technology's volatility.| Risk Adjusted Performance | 0.03 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0486 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Science Technology'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.
Science Technology February 13, 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 | 0.03 | |||
| Market Risk Adjusted Performance | 0.0586 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.53 | |||
| Downside Deviation | 1.6 | |||
| Coefficient Of Variation | 3233.2 | |||
| Standard Deviation | 1.58 | |||
| Variance | 2.49 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0486 | |||
| Maximum Drawdown | 9.96 | |||
| Value At Risk | (2.40) | |||
| Potential Upside | 2.42 | |||
| Downside Variance | 2.57 | |||
| Semi Variance | 2.33 | |||
| Expected Short fall | (1.01) | |||
| Skewness | 1.02 | |||
| Kurtosis | 4.65 |
Science Technology Backtested Returns
At this stage we consider Science Mutual Fund to be very steady. Science Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0628, which indicates the fund had a 0.0628 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Science Technology Fund, which you can use to evaluate the volatility of the fund. Please validate Science Technology's Coefficient Of Variation of 3233.2, risk adjusted performance of 0.03, and Semi Deviation of 1.53 to confirm if the risk estimate we provide is consistent with the expected return of 0.0981%. The entity has a beta of 0.8, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Science Technology's returns are expected to increase less than the market. However, during the bear market, the loss of holding Science Technology is expected to be smaller as well.
Auto-correlation | -0.68 |
Very good reverse predictability
Science Technology Fund has very good reverse predictability. Overlapping area represents the amount of predictability between Science Technology time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 Science Technology price movement. The serial correlation of -0.68 indicates that around 68.0% of current Science Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.85 |
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 Science Mutual Fund
Science Technology financial ratios help investors to determine whether Science 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 Science with respect to the benefits of owning Science Technology security.
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