Quantified Stf Fund Technical Analysis
| QSTAX Fund | USD 14.20 0.10 0.70% |
As of the 3rd of March, Quantified Stf holds the Semi Deviation of 2.0, risk adjusted performance of 0.0463, and Coefficient Of Variation of 1887.2. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Stf, as well as the relationship between them.
Quantified Stf Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantified, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantifiedQuantified |
Quantified Stf '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 Stf'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 Stf.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Quantified Stf on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Quantified Stf Fund or generate 0.0% return on investment in Quantified Stf over 90 days. Quantified Stf is related to or competes with Spectrum Advisors, Ontrack E, Ontrack E, Spectrum Unconstrained, Quantified Market, Quantified Market, and Spectrum Low. The funds investment adviser delegates execution of the funds investment strategy to the Subadviser, Flexible Plan Inves... More
Quantified Stf 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 Stf'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 Stf Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.14 | |||
| Information Ratio | 0.0304 | |||
| Maximum Drawdown | 13.98 | |||
| Value At Risk | (4.09) | |||
| Potential Upside | 2.54 |
Quantified Stf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Stf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Stf's standard deviation. In reality, there are many statistical measures that can use Quantified Stf historical prices to predict the future Quantified Stf's volatility.| Risk Adjusted Performance | 0.0463 | |||
| Jensen Alpha | 0.1078 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | (0.47) |
Quantified Stf March 3, 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 | 0.0463 | |||
| Market Risk Adjusted Performance | (0.46) | |||
| Mean Deviation | 1.44 | |||
| Semi Deviation | 2.0 | |||
| Downside Deviation | 2.14 | |||
| Coefficient Of Variation | 1887.2 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.31 | |||
| Information Ratio | 0.0304 | |||
| Jensen Alpha | 0.1078 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | (0.47) | |||
| Maximum Drawdown | 13.98 | |||
| Value At Risk | (4.09) | |||
| Potential Upside | 2.54 | |||
| Downside Variance | 4.59 | |||
| Semi Variance | 4.0 | |||
| Expected Short fall | (1.43) | |||
| Skewness | 0.8516 | |||
| Kurtosis | 5.5 |
Quantified Stf Backtested Returns
At this stage we consider Quantified Mutual Fund to be not too volatile. Quantified Stf maintains Sharpe Ratio (i.e., Efficiency) of 0.0154, which implies the entity had a 0.0154 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Quantified Stf, which you can use to evaluate the volatility of the fund. Please check Quantified Stf's Semi Deviation of 2.0, coefficient of variation of 1887.2, and Risk Adjusted Performance of 0.0463 to confirm if the risk estimate we provide is consistent with the expected return of 0.0332%. The fund holds a Beta of -0.21, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Quantified Stf are expected to decrease at a much lower rate. During the bear market, Quantified Stf is likely to outperform the market.
Auto-correlation | -0.59 |
Good reverse predictability
Quantified Stf Fund has good reverse predictability. Overlapping area represents the amount of predictability between Quantified Stf time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd 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 Stf price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Quantified Stf price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Quantified Stf 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.
Quantified Stf Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Quantified Stf across different markets.
About Quantified Stf 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 Quantified Stf 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 Quantified Stf Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Quantified Stf price pattern first instead of the macroeconomic environment surrounding Quantified Stf. By analyzing Quantified Stf'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 Quantified Stf'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 Quantified Stf specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantified Stf March 3, 2026 Technical Indicators
Most technical analysis of Quantified 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 Quantified from various momentum indicators to cycle indicators. When you analyze Quantified 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 | 0.0463 | |||
| Market Risk Adjusted Performance | (0.46) | |||
| Mean Deviation | 1.44 | |||
| Semi Deviation | 2.0 | |||
| Downside Deviation | 2.14 | |||
| Coefficient Of Variation | 1887.2 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.31 | |||
| Information Ratio | 0.0304 | |||
| Jensen Alpha | 0.1078 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0295 | |||
| Treynor Ratio | (0.47) | |||
| Maximum Drawdown | 13.98 | |||
| Value At Risk | (4.09) | |||
| Potential Upside | 2.54 | |||
| Downside Variance | 4.59 | |||
| Semi Variance | 4.0 | |||
| Expected Short fall | (1.43) | |||
| Skewness | 0.8516 | |||
| Kurtosis | 5.5 |
Quantified Stf March 3, 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 Quantified 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 | 0.99 | ||
| Day Median Price | 14.20 | ||
| Day Typical Price | 14.20 | ||
| Price Action Indicator | (0.05) |
Other Information on Investing in Quantified Mutual Fund
Quantified Stf 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 Stf security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
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