Science Technology Fund Technical Analysis
| VCSTX Fund | USD 41.40 0.30 0.73% |
As of the 27th of January, Science Technology has the Variance of 2.16, risk adjusted performance of (0.02), and Coefficient Of Variation of (3,087). 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.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Science Technology on October 29, 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 Aqr Managed, Pnc Emerging, Gmo Emerging, Franklin Emerging, Dws Emerging, Eagle Mlp, and Balanced Strategy. The fund normally invests at least 80 percent of net assets in the common stocks of companies that are expected to benef... 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.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 6.94 | |||
| Value At Risk | (3.17) | |||
| Potential Upside | 2.09 |
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 | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.06) |
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 January 27, 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 | (0.05) | |||
| Mean Deviation | 1.13 | |||
| Coefficient Of Variation | (3,087) | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.16 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 6.94 | |||
| Value At Risk | (3.17) | |||
| Potential Upside | 2.09 | |||
| Skewness | (0.48) | |||
| Kurtosis | 0.4709 |
Science Technology Backtested Returns
Science Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0485, which indicates the fund had a -0.0485 % return per unit of risk over the last 3 months. Science Technology Fund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Science Technology's Variance of 2.16, risk adjusted performance of (0.02), and Coefficient Of Variation of (3,087) to confirm the risk estimate we provide. The entity has a beta of 1.03, which indicates a somewhat significant risk relative to the market. Science Technology returns are very sensitive to returns on the market. As the market goes up or down, Science Technology is expected to follow.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Science Technology Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Science Technology time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 -0.71 indicates that around 71.0% of current Science Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.59 |
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 twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Science Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 January 27, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.13 | |||
| Coefficient Of Variation | (3,087) | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.16 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 6.94 | |||
| Value At Risk | (3.17) | |||
| Potential Upside | 2.09 | |||
| Skewness | (0.48) | |||
| Kurtosis | 0.4709 |
Science Technology One Year Return
Based on the recorded statements, Science Technology Fund has an One Year Return of 19.7914%. This is 97.32% higher than that of the VALIC family and significantly higher than that of the Technology category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Science Technology January 27, 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 | 1.01 | ||
| Day Median Price | 41.40 | ||
| Day Typical Price | 41.40 | ||
| Price Action Indicator | 0.15 |
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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