Quantified Evolution Plus Fund Technical Analysis
| QEVOX Fund | USD 4.90 0.03 0.62% |
As of the 26th of February, Quantified Evolution holds the Coefficient Of Variation of 476.17, risk adjusted performance of 0.1682, and Semi Deviation of 2.02. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Evolution, as well as the relationship between them.
Quantified Evolution 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 Evolution '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 Evolution'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 Evolution.
| 11/28/2025 |
| 02/26/2026 |
If you would invest 0.00 in Quantified Evolution on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding Quantified Evolution Plus or generate 0.0% return on investment in Quantified Evolution over 90 days. Quantified Evolution is related to or competes with Spectrum Advisors, Ontrack E, Ontrack E, Spectrum Unconstrained, Spectrum Low, Quantified Rising, and Quantified Alternative. The Subadvisers asset allocation focuses primarily on the following categories equities, debt, gold and commodities More
Quantified Evolution 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 Evolution'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 Evolution Plus upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.61 | |||
| Information Ratio | 0.1584 | |||
| Maximum Drawdown | 13.71 | |||
| Value At Risk | (2.85) | |||
| Potential Upside | 3.02 |
Quantified Evolution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Evolution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Evolution's standard deviation. In reality, there are many statistical measures that can use Quantified Evolution historical prices to predict the future Quantified Evolution's volatility.| Risk Adjusted Performance | 0.1682 | |||
| Jensen Alpha | 0.4712 | |||
| Total Risk Alpha | 0.1623 | |||
| Sortino Ratio | 0.1284 | |||
| Treynor Ratio | (1.15) |
Quantified Evolution February 26, 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 | 0.1682 | |||
| Market Risk Adjusted Performance | (1.14) | |||
| Mean Deviation | 1.47 | |||
| Semi Deviation | 2.02 | |||
| Downside Deviation | 2.61 | |||
| Coefficient Of Variation | 476.17 | |||
| Standard Deviation | 2.11 | |||
| Variance | 4.46 | |||
| Information Ratio | 0.1584 | |||
| Jensen Alpha | 0.4712 | |||
| Total Risk Alpha | 0.1623 | |||
| Sortino Ratio | 0.1284 | |||
| Treynor Ratio | (1.15) | |||
| Maximum Drawdown | 13.71 | |||
| Value At Risk | (2.85) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 6.8 | |||
| Semi Variance | 4.09 | |||
| Expected Short fall | (1.65) | |||
| Skewness | (1.76) | |||
| Kurtosis | 7.68 |
Quantified Evolution Plus Backtested Returns
Quantified Evolution appears to be slightly risky, given 3 months investment horizon. Quantified Evolution Plus maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the entity had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Quantified Evolution Plus, which you can use to evaluate the volatility of the fund. Please evaluate Quantified Evolution's Semi Deviation of 2.02, risk adjusted performance of 0.1682, and Coefficient Of Variation of 476.17 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of -0.38, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Quantified Evolution are expected to decrease at a much lower rate. During the bear market, Quantified Evolution is likely to outperform the market.
Auto-correlation | 0.35 |
Below average predictability
Quantified Evolution Plus has below average predictability. Overlapping area represents the amount of predictability between Quantified Evolution time series from 28th of November 2025 to 12th of January 2026 and 12th of January 2026 to 26th 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 Evolution Plus price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Quantified Evolution price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Quantified Evolution 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 Evolution Plus Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Quantified Evolution Plus across different markets.
About Quantified Evolution 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 Evolution Plus 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 Evolution Plus based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Quantified Evolution Plus price pattern first instead of the macroeconomic environment surrounding Quantified Evolution Plus. By analyzing Quantified Evolution'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 Evolution'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 Evolution specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantified Evolution February 26, 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 | 0.1682 | |||
| Market Risk Adjusted Performance | (1.14) | |||
| Mean Deviation | 1.47 | |||
| Semi Deviation | 2.02 | |||
| Downside Deviation | 2.61 | |||
| Coefficient Of Variation | 476.17 | |||
| Standard Deviation | 2.11 | |||
| Variance | 4.46 | |||
| Information Ratio | 0.1584 | |||
| Jensen Alpha | 0.4712 | |||
| Total Risk Alpha | 0.1623 | |||
| Sortino Ratio | 0.1284 | |||
| Treynor Ratio | (1.15) | |||
| Maximum Drawdown | 13.71 | |||
| Value At Risk | (2.85) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 6.8 | |||
| Semi Variance | 4.09 | |||
| Expected Short fall | (1.65) | |||
| Skewness | (1.76) | |||
| Kurtosis | 7.68 |
Quantified Evolution February 26, 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 | 1.01 | ||
| Day Median Price | 4.90 | ||
| Day Typical Price | 4.90 | ||
| Price Action Indicator | 0.02 |
Other Information on Investing in Quantified Mutual Fund
Quantified Evolution 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 Evolution security.
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