Quantified Government Income Fund Technical Analysis
| QGITX Fund | USD 6.90 0.03 0.43% |
As of the 13th of February 2026, Quantified Government holds the Risk Adjusted Performance of (0.09), coefficient of variation of (1,571), and Variance of 0.0288. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Government, as well as the relationship between them.
Quantified Government 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 Government '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 Government'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 Government.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Quantified Government on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Quantified Government Income or generate 0.0% return on investment in Quantified Government over 90 days. Quantified Government is related to or competes with T Rowe, Tweedy Browne, Ashmore Emerging, and Prudential Emerging. The fund invests at least 80 percent of its net assets in U.S More
Quantified Government 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 Government'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 Government Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.54) | |||
| Maximum Drawdown | 0.8646 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.289 |
Quantified Government Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Government's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Government's standard deviation. In reality, there are many statistical measures that can use Quantified Government historical prices to predict the future Quantified Government's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.57) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantified Government'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.
Quantified Government February 13, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 0.1119 | |||
| Coefficient Of Variation | (1,571) | |||
| Standard Deviation | 0.1696 | |||
| Variance | 0.0288 | |||
| Information Ratio | (0.54) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 0.8646 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.289 | |||
| Skewness | (0.02) | |||
| Kurtosis | 1.05 |
Quantified Government Backtested Returns
Quantified Government maintains Sharpe Ratio (i.e., Efficiency) of -0.0427, which implies the entity had a -0.0427 % return per unit of risk over the last 3 months. Quantified Government exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantified Government's Coefficient Of Variation of (1,571), variance of 0.0288, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The fund holds a Beta of 0.0368, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quantified Government's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantified Government is expected to be smaller as well.
Auto-correlation | -0.45 |
Modest reverse predictability
Quantified Government Income has modest reverse predictability. Overlapping area represents the amount of predictability between Quantified Government time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 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 Government price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Quantified Government price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quantified Government 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 Government Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Quantified Government across different markets.
About Quantified Government 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 Government Income 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 Government Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Quantified Government price pattern first instead of the macroeconomic environment surrounding Quantified Government. By analyzing Quantified Government'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 Government'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 Government specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantified Government February 13, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 0.1119 | |||
| Coefficient Of Variation | (1,571) | |||
| Standard Deviation | 0.1696 | |||
| Variance | 0.0288 | |||
| Information Ratio | (0.54) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 0.8646 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.289 | |||
| Skewness | (0.02) | |||
| Kurtosis | 1.05 |
Quantified Government February 13, 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 | 1.00 | ||
| Day Median Price | 6.90 | ||
| Day Typical Price | 6.90 | ||
| Price Action Indicator | (0.01) |
Other Information on Investing in Quantified Mutual Fund
Quantified Government 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 Government security.
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