Qs Small Capitalization Fund Technical Analysis
| LGSCX Fund | USD 14.74 0.06 0.41% |
As of the 29th of January, Qs Us owns the market risk adjusted performance of 0.2211, and Standard Deviation of 1.31. In relation to fundamental indicators, the technical analysis model allows you to check practical technical drivers of Qs Small Capitalization, as well as the relationship between them.
Qs Us Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as LGSCX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LGSCXLGSCX |
Qs Us '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 Qs Us' 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 Qs Us.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Qs Us on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Qs Small Capitalization or generate 0.0% return on investment in Qs Us over 90 days. Qs Us is related to or competes with Blackrock, Virtus Seix, Us Government, Us Government, Aig Government, Franklin Adjustable, and Us Government. The fund normally invests at least 80 percent of net assets, plus any borrowings for investment purposes, in equity secu... More
Qs Us 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 Qs Us' 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 Qs Small Capitalization upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.11 | |||
| Information Ratio | 0.1054 | |||
| Maximum Drawdown | 8.07 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.14 |
Qs Us Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Us' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Us' standard deviation. In reality, there are many statistical measures that can use Qs Us historical prices to predict the future Qs Us' volatility.| Risk Adjusted Performance | 0.124 | |||
| Jensen Alpha | 0.1403 | |||
| Total Risk Alpha | 0.0873 | |||
| Sortino Ratio | 0.1241 | |||
| Treynor Ratio | 0.2111 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qs Us' 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.
Qs Us January 29, 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 | 0.124 | |||
| Market Risk Adjusted Performance | 0.2211 | |||
| Mean Deviation | 0.9022 | |||
| Semi Deviation | 0.8362 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 614.58 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.71 | |||
| Information Ratio | 0.1054 | |||
| Jensen Alpha | 0.1403 | |||
| Total Risk Alpha | 0.0873 | |||
| Sortino Ratio | 0.1241 | |||
| Treynor Ratio | 0.2111 | |||
| Maximum Drawdown | 8.07 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.14 | |||
| Downside Variance | 1.23 | |||
| Semi Variance | 0.6992 | |||
| Expected Short fall | (1.02) | |||
| Skewness | 1.37 | |||
| Kurtosis | 6.15 |
Qs Small Capitalization Backtested Returns
Qs Us appears to be very steady, given 3 months investment horizon. Qs Small Capitalization retains Efficiency (Sharpe Ratio) of 0.17, which implies the entity had a 0.17 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Qs Us, which you can use to evaluate the volatility of the fund. Please evaluate Qs Us' market risk adjusted performance of 0.2211, and Standard Deviation of 1.31 to confirm if our risk estimates are consistent with your expectations. The fund owns a Beta (Systematic Risk) of 0.96, which implies possible diversification benefits within a given portfolio. Qs Us returns are very sensitive to returns on the market. As the market goes up or down, Qs Us is expected to follow.
Auto-correlation | 0.59 |
Modest predictability
Qs Small Capitalization has modest predictability. Overlapping area represents the amount of predictability between Qs Us time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 Qs Small Capitalization price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Qs Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Qs Us 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.
Qs Small Capitalization Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Qs Small Capitalization across different markets.
About Qs Us 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 Qs Small Capitalization 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 Qs Small Capitalization based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Qs Small Capitalization price pattern first instead of the macroeconomic environment surrounding Qs Small Capitalization. By analyzing Qs Us'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 Qs Us'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 Qs Us specific price patterns or momentum indicators. Please read more on our technical analysis page.
Qs Us January 29, 2026 Technical Indicators
Most technical analysis of LGSCX 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 LGSCX from various momentum indicators to cycle indicators. When you analyze LGSCX 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 | 0.124 | |||
| Market Risk Adjusted Performance | 0.2211 | |||
| Mean Deviation | 0.9022 | |||
| Semi Deviation | 0.8362 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 614.58 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.71 | |||
| Information Ratio | 0.1054 | |||
| Jensen Alpha | 0.1403 | |||
| Total Risk Alpha | 0.0873 | |||
| Sortino Ratio | 0.1241 | |||
| Treynor Ratio | 0.2111 | |||
| Maximum Drawdown | 8.07 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.14 | |||
| Downside Variance | 1.23 | |||
| Semi Variance | 0.6992 | |||
| Expected Short fall | (1.02) | |||
| Skewness | 1.37 | |||
| Kurtosis | 6.15 |
Qs Us January 29, 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 LGSCX 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 | 1.00 | ||
| Day Median Price | 14.74 | ||
| Day Typical Price | 14.74 | ||
| Price Action Indicator | 0.03 |
Other Information on Investing in LGSCX Mutual Fund
Qs Us financial ratios help investors to determine whether LGSCX 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 LGSCX with respect to the benefits of owning Qs Us security.
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