Quantified Market Leaders Fund Market Value
| QMLAX Fund | USD 11.78 0.02 0.17% |
| Symbol | Quantified |
Quantified Market '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 Quantified Market'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 Quantified Market.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in Quantified Market on December 2, 2025 and sell it all today you would earn a total of 0.00 from holding Quantified Market Leaders or generate 0.0% return on investment in Quantified Market over 90 days. Quantified Market is related to or competes with Spectrum Advisors, Ontrack E, Ontrack E, Spectrum Unconstrained, Spectrum Low, Quantified Rising, and Quantified Alternative. The fund will typically invest primarily in equity or investment grade fixed income securities either directly through i... More
Quantified Market 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 Quantified Market'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 Quantified Market Leaders upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | 0.0418 | |||
| Maximum Drawdown | 5.21 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 1.97 |
Quantified Market Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Market's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Market's standard deviation. In reality, there are many statistical measures that can use Quantified Market historical prices to predict the future Quantified Market's volatility.| Risk Adjusted Performance | 0.0949 | |||
| Jensen Alpha | 0.031 | |||
| Total Risk Alpha | 0.0076 | |||
| Sortino Ratio | 0.0392 | |||
| Treynor Ratio | 0.1054 |
Quantified Market March 2, 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 | 0.0949 | |||
| Market Risk Adjusted Performance | 0.1154 | |||
| Mean Deviation | 0.8777 | |||
| Semi Deviation | 0.9884 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 836.32 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.34 | |||
| Information Ratio | 0.0418 | |||
| Jensen Alpha | 0.031 | |||
| Total Risk Alpha | 0.0076 | |||
| Sortino Ratio | 0.0392 | |||
| Treynor Ratio | 0.1054 | |||
| Maximum Drawdown | 5.21 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 1.97 | |||
| Downside Variance | 1.52 | |||
| Semi Variance | 0.9769 | |||
| Expected Short fall | (0.99) | |||
| Skewness | (0.18) | |||
| Kurtosis | 0.4622 |
Quantified Market Leaders Backtested Returns
At this stage we consider Quantified Mutual Fund to be very steady. Quantified Market Leaders maintains Sharpe Ratio (i.e., Efficiency) of 0.0716, which implies the entity had a 0.0716 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Quantified Market Leaders, which you can use to evaluate the volatility of the fund. Please check Quantified Market's Semi Deviation of 0.9884, risk adjusted performance of 0.0949, and Coefficient Of Variation of 836.32 to confirm if the risk estimate we provide is consistent with the expected return of 0.0819%. The fund holds a Beta of 1.22, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Quantified Market will likely underperform.
Auto-correlation | 0.49 |
Average predictability
Quantified Market Leaders has average predictability. Overlapping area represents the amount of predictability between Quantified Market time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 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 Quantified Market Leaders price movement. The serial correlation of 0.49 indicates that about 49.0% of current Quantified Market price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 Quantified Mutual Fund
Quantified Market financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Market security.
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume |