Science Technology Fund Technical Analysis
| USSCX Fund | USD 30.54 0.75 2.40% |
As of the 13th of February 2026, Science Technology has the Coefficient Of Variation of 3233.2, risk adjusted performance of 0.03, and Semi Deviation of 1.53. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Science Technology, as well as the relationship between them.
Science Technology Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Science, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScienceScience |
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 Semi Deviation of 1.53, coefficient of variation of 3233.2, and Risk Adjusted Performance of 0.03 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 |
Science Technology technical mutual fund 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, fund market cycles, or different charting patterns.
Science Technology Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Science Technology across different markets.
About Science Technology Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Science Technology Fund on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Science Technology Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Science Technology price pattern first instead of the macroeconomic environment surrounding Science Technology. By analyzing Science Technology's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Science Technology's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Science Technology specific price patterns or momentum indicators. Please read more on our technical analysis page.
Science Technology February 13, 2026 Technical Indicators
Most technical analysis of Science help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Science from various momentum indicators to cycle indicators. When you analyze Science charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| 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 February 13, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Science stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 30.54 | ||
| Day Typical Price | 30.54 | ||
| Price Action Indicator | (0.37) |
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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