Quantified Evolution Plus Fund Market Value
QEVOX Fund | USD 6.44 0.10 1.58% |
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.
04/08/2022 |
| 03/28/2024 |
If you would invest 0.00 in Quantified Evolution on April 8, 2022 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 720 days. Quantified Evolution is related to or competes with State Farm, Quantified Alternative, Quantified Alternative, Spectrum Advisors, Quantified Pattern, Quantified Stf, and Quantified Stf. 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 | 3.84 | |||
Information Ratio | 0.0216 | |||
Maximum Drawdown | 45.42 | |||
Value At Risk | (1.39) | |||
Potential Upside | 2.09 |
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 | 0.0387 | |||
Jensen Alpha | 0.1894 | |||
Total Risk Alpha | (0.71) | |||
Sortino Ratio | 0.0233 | |||
Treynor Ratio | 1.09 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantified Evolution'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 Evolution Plus Backtested Returns
We consider Quantified Evolution not too volatile. Quantified Evolution Plus maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the entity had a 0.17% 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 check Quantified Evolution's Coefficient Of Variation of 1850.83, risk adjusted performance of 0.0387, and Semi Deviation of 3.02 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The fund holds a Beta of 0.2, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quantified Evolution's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantified Evolution is expected to be smaller as well.
Auto-correlation | -0.04 |
Very weak reverse predictability
Quantified Evolution Plus has very weak reverse predictability. Overlapping area represents the amount of predictability between Quantified Evolution time series from 8th of April 2022 to 3rd of April 2023 and 3rd of April 2023 to 28th of March 2024. 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 -0.04 indicates that only as little as 4.0% of current Quantified Evolution price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.04 | |
Spearman Rank Test | 0.16 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
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 |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Quantified Evolution Plus using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Quantified Evolution Correlation, Quantified Evolution Volatility and Quantified Evolution Alpha and Beta module to complement your research on Quantified Evolution. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Complementary Tools for Quantified Mutual Fund analysis
When running Quantified Evolution's price analysis, check to measure Quantified Evolution's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quantified Evolution is operating at the current time. Most of Quantified Evolution's value examination focuses on studying past and present price action to predict the probability of Quantified Evolution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantified Evolution's price. Additionally, you may evaluate how the addition of Quantified Evolution to your portfolios can decrease your overall portfolio volatility.
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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.