Draco Evolution Ai Etf Market Value
| DRAI Etf | 23.90 0.27 1.14% |
| Symbol | Draco |
The market value of Draco Evolution AI is measured differently than its book value, which is the value of Draco that is recorded on the company's balance sheet. Investors also form their own opinion of Draco Evolution's value that differs from its market value or its book value, called intrinsic value, which is Draco Evolution's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Draco Evolution's market value can be influenced by many factors that don't directly affect Draco Evolution's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Draco Evolution's value and its price as these two are different measures arrived at by different means. Investors typically determine if Draco Evolution is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Draco Evolution's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Draco 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 Draco Evolution's etf 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 Draco Evolution.
| 12/24/2024 |
| 01/23/2025 |
If you would invest 0.00 in Draco Evolution on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Draco Evolution AI or generate 0.0% return on investment in Draco Evolution over 30 days. Draco Evolution is related to or competes with First Trust, Collaborative Investment, Aptus Defined, Discipline Fund, Northern Lights, and Akros Monthly. Draco Evolution is entity of United States More
Draco 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 Draco Evolution's etf 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 Draco Evolution AI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.91 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.33 |
Draco Evolution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Draco Evolution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Draco Evolution's standard deviation. In reality, there are many statistical measures that can use Draco Evolution historical prices to predict the future Draco Evolution's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.10) |
Draco Evolution AI Backtested Returns
Draco Evolution is very steady at the moment. Draco Evolution AI secures Sharpe Ratio (or Efficiency) of 0.0148, which denotes the etf had a 0.0148 % return per unit of standard deviation over the last 3 months. We have found twenty-three technical indicators for Draco Evolution AI, which you can use to evaluate the volatility of the entity. Please confirm Draco Evolution's Standard Deviation of 1.02, coefficient of variation of (13,782), and Mean Deviation of 0.6853 to check if the risk estimate we provide is consistent with the expected return of 0.0153%. The etf shows a Beta (market volatility) of 0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, Draco Evolution's returns are expected to increase less than the market. However, during the bear market, the loss of holding Draco Evolution is expected to be smaller as well.
Auto-correlation | -0.32 |
Poor reverse predictability
Draco Evolution AI has poor reverse predictability. Overlapping area represents the amount of predictability between Draco Evolution time series from 24th of December 2024 to 8th of January 2025 and 8th of January 2025 to 23rd of January 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 Draco Evolution AI price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Draco Evolution price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Draco Evolution AI lagged returns against current returns
Autocorrelation, which is Draco Evolution etf'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 Draco Evolution's etf expected returns. We can calculate the autocorrelation of Draco Evolution returns to help us make a trade decision. For example, suppose you find that Draco Evolution has exhibited high autocorrelation historically, and you observe that the etf 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 |
Draco 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 Draco Evolution etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Draco Evolution etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Draco Evolution etf over time.
Current vs Lagged Prices |
| Timeline |
Draco Evolution Lagged Returns
When evaluating Draco Evolution's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Draco Evolution etf have on its future price. Draco 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, Draco Evolution autocorrelation shows the relationship between Draco Evolution etf current value and its past values and can show if there is a momentum factor associated with investing in Draco Evolution AI.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Draco Evolution AI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Draco Evolution's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Draco Evolution Ai Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Draco Evolution Ai Etf:Check out Draco Evolution Correlation, Draco Evolution Volatility and Draco Evolution Alpha and Beta module to complement your research on Draco Evolution. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Draco Evolution technical etf 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, etf market cycles, or different charting patterns.