Qs Large Cap Fund Technical Analysis
| LMUSX Fund | USD 28.19 0.01 0.04% |
As of the 29th of January, Qs Large owns the market risk adjusted performance of 0.1726, and Standard Deviation of 0.8288. In relation to fundamental indicators, the technical analysis model allows you to check practical technical drivers of Qs Large Cap, as well as the relationship between them.
Qs Large Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as LMUSX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LMUSXLMUSX |
Qs Large '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 Large'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 Qs Large.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Qs Large on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Qs Large Cap or generate 0.0% return on investment in Qs Large over 90 days. Qs Large is related to or competes with T Rowe, T Rowe, Pro-blend(r) Moderate, T Rowe, T Rowe, Strategic Allocation:, and T Rowe. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus borrowings for investment purpo... More
Qs Large 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 Large'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 Qs Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9049 | |||
| Information Ratio | 0.0623 | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.26 |
Qs Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Large's standard deviation. In reality, there are many statistical measures that can use Qs Large historical prices to predict the future Qs Large's volatility.| Risk Adjusted Performance | 0.1134 | |||
| Jensen Alpha | 0.0701 | |||
| Total Risk Alpha | 0.0434 | |||
| Sortino Ratio | 0.0571 | |||
| Treynor Ratio | 0.1626 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qs Large'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.
Qs Large 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 | 0.1134 | |||
| Market Risk Adjusted Performance | 0.1726 | |||
| Mean Deviation | 0.6014 | |||
| Semi Deviation | 0.7161 | |||
| Downside Deviation | 0.9049 | |||
| Coefficient Of Variation | 654.85 | |||
| Standard Deviation | 0.8288 | |||
| Variance | 0.6869 | |||
| Information Ratio | 0.0623 | |||
| Jensen Alpha | 0.0701 | |||
| Total Risk Alpha | 0.0434 | |||
| Sortino Ratio | 0.0571 | |||
| Treynor Ratio | 0.1626 | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.26 | |||
| Downside Variance | 0.8188 | |||
| Semi Variance | 0.5128 | |||
| Expected Short fall | (0.63) | |||
| Skewness | 0.1825 | |||
| Kurtosis | 1.8 |
Qs Large Cap Backtested Returns
At this stage we consider LMUSX Mutual Fund to be very steady. Qs Large Cap retains Efficiency (Sharpe Ratio) of 0.13, which implies the entity had a 0.13 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Qs Large, which you can use to evaluate the volatility of the fund. Please check Qs Large's standard deviation of 0.8288, and Market Risk Adjusted Performance of 0.1726 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The fund owns a Beta (Systematic Risk) of 0.72, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Qs Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding Qs Large is expected to be smaller as well.
Auto-correlation | -0.02 |
Very weak reverse predictability
Qs Large Cap has very weak reverse predictability. Overlapping area represents the amount of predictability between Qs Large 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 Large Cap price movement. The serial correlation of -0.02 indicates that only 2.0% of current Qs Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Qs Large 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 Large Cap 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 Qs Large Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Qs Large 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 Large Cap 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 Large Cap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Qs Large Cap price pattern first instead of the macroeconomic environment surrounding Qs Large Cap. By analyzing Qs Large'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 Large'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 Large specific price patterns or momentum indicators. Please read more on our technical analysis page.
Qs Large January 29, 2026 Technical Indicators
Most technical analysis of LMUSX 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 LMUSX from various momentum indicators to cycle indicators. When you analyze LMUSX 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 | 0.1134 | |||
| Market Risk Adjusted Performance | 0.1726 | |||
| Mean Deviation | 0.6014 | |||
| Semi Deviation | 0.7161 | |||
| Downside Deviation | 0.9049 | |||
| Coefficient Of Variation | 654.85 | |||
| Standard Deviation | 0.8288 | |||
| Variance | 0.6869 | |||
| Information Ratio | 0.0623 | |||
| Jensen Alpha | 0.0701 | |||
| Total Risk Alpha | 0.0434 | |||
| Sortino Ratio | 0.0571 | |||
| Treynor Ratio | 0.1626 | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.26 | |||
| Downside Variance | 0.8188 | |||
| Semi Variance | 0.5128 | |||
| Expected Short fall | (0.63) | |||
| Skewness | 0.1825 | |||
| Kurtosis | 1.8 |
Qs Large 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 LMUSX 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 | 28.19 | ||
| Day Typical Price | 28.19 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in LMUSX Mutual Fund
Qs Large financial ratios help investors to determine whether LMUSX 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 LMUSX with respect to the benefits of owning Qs Large security.
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |