Quantified Evolution Plus Fund Market Value
| QEVOX Fund | USD 5.83 0.05 0.87% |
| Symbol | Quantified |
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.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Quantified Evolution on April 24, 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 Blackrock Government, Virtus Seix, and Government Securities. The Subadvisers asset allocation focuses primarily on the following categories equities, debt, gold, commodities and Bit... 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.
| Information Ratio | (0.36) | |||
| Maximum Drawdown | 2.39 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 0.8726 |
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 | (0.02) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | 0.2496 |
Quantified Evolution Plus Backtested Returns
Quantified Evolution Plus maintains Sharpe Ratio (i.e., Efficiency) of -0.0226, which implies the entity had a -0.0226 % return per unit of risk over the last 3 months. Quantified Evolution Plus exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantified Evolution's Coefficient Of Variation of (4,430), risk adjusted performance of (0.02), and Variance of 0.4119 to confirm the risk estimate we provide. The fund holds a Beta of -0.0981, which implies not very significant fluctuations relative to the market. 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 | -0.15 |
Insignificant reverse predictability
Quantified Evolution Plus has insignificant reverse predictability. Overlapping area represents the amount of predictability between Quantified Evolution time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. 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 -0.15 indicates that less than 15.0% of current Quantified Evolution price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quantified Evolution Plus lagged returns against current returns
Autocorrelation, which is Quantified Evolution mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Quantified Evolution's mutual fund expected returns. We can calculate the autocorrelation of Quantified Evolution returns to help us make a trade decision. For example, suppose you find that Quantified Evolution has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Quantified Evolution regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Quantified Evolution mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantified Evolution mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantified Evolution mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Quantified Evolution Lagged Returns
When evaluating Quantified Evolution's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantified Evolution mutual fund have on its future price. Quantified Evolution autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Quantified Evolution autocorrelation shows the relationship between Quantified Evolution mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Quantified Evolution Plus.
Regressed Prices |
| Timeline |
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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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