Simplify Propel Opportunities Etf Market Value
SURI Etf | 23.69 0.54 2.33% |
Symbol | Simplify |
The market value of Simplify Propel Oppo is measured differently than its book value, which is the value of Simplify that is recorded on the company's balance sheet. Investors also form their own opinion of Simplify Propel's value that differs from its market value or its book value, called intrinsic value, which is Simplify Propel'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 Simplify Propel's market value can be influenced by many factors that don't directly affect Simplify Propel'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 Simplify Propel's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simplify Propel is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simplify Propel'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.
Simplify Propel '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 Simplify Propel'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 Simplify Propel.
05/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in Simplify Propel on May 4, 2023 and sell it all today you would earn a total of 0.00 from holding Simplify Propel Opportunities or generate 0.0% return on investment in Simplify Propel over 570 days. Simplify Propel is related to or competes with Simplify Exchange, Rbb Fund, TCW ETF, US Treasury, and Calamos Antetokounmpo. Simplify Propel is entity of United States More
Simplify Propel 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 Simplify Propel'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 Simplify Propel Opportunities upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.01 | |||
Information Ratio | (0.01) | |||
Maximum Drawdown | 13.08 | |||
Value At Risk | (3.71) | |||
Potential Upside | 2.84 |
Simplify Propel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simplify Propel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simplify Propel's standard deviation. In reality, there are many statistical measures that can use Simplify Propel historical prices to predict the future Simplify Propel's volatility.Risk Adjusted Performance | 0.042 | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.25) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.096 |
Simplify Propel Oppo Backtested Returns
Simplify Propel is very steady at the moment. Simplify Propel Oppo owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0187, which indicates the etf had a 0.0187% return per unit of risk over the last 3 months. We have found thirty technical indicators for Simplify Propel Opportunities, which you can use to evaluate the volatility of the etf. Please validate Simplify Propel's Coefficient Of Variation of 2161.12, risk adjusted performance of 0.042, and Semi Deviation of 1.9 to confirm if the risk estimate we provide is consistent with the expected return of 0.0402%. The entity has a beta of 0.94, which indicates possible diversification benefits within a given portfolio. Simplify Propel returns are very sensitive to returns on the market. As the market goes up or down, Simplify Propel is expected to follow.
Auto-correlation | -0.07 |
Very weak reverse predictability
Simplify Propel Opportunities has very weak reverse predictability. Overlapping area represents the amount of predictability between Simplify Propel time series from 4th of May 2023 to 13th of February 2024 and 13th of February 2024 to 24th of November 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 Simplify Propel Oppo price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Simplify Propel price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.07 | |
Spearman Rank Test | -0.02 | |
Residual Average | 0.0 | |
Price Variance | 1.71 |
Simplify Propel Oppo lagged returns against current returns
Autocorrelation, which is Simplify Propel 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 Simplify Propel's etf expected returns. We can calculate the autocorrelation of Simplify Propel returns to help us make a trade decision. For example, suppose you find that Simplify Propel 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 |
Simplify Propel 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 Simplify Propel etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simplify Propel etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simplify Propel etf over time.
Current vs Lagged Prices |
Timeline |
Simplify Propel Lagged Returns
When evaluating Simplify Propel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simplify Propel etf have on its future price. Simplify Propel 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, Simplify Propel autocorrelation shows the relationship between Simplify Propel etf current value and its past values and can show if there is a momentum factor associated with investing in Simplify Propel Opportunities.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Simplify Propel Oppo offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Simplify Propel'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 Simplify Propel Opportunities Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Simplify Propel Opportunities Etf:Check out Simplify Propel Correlation, Simplify Propel Volatility and Simplify Propel Alpha and Beta module to complement your research on Simplify Propel. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Simplify Propel 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.