Optimize Strategy Index Etf Market Value
| OPTZ Etf | 31.25 0.14 0.45% |
| Symbol | Optimize |
The market value of Optimize Strategy Index is measured differently than its book value, which is the value of Optimize that is recorded on the company's balance sheet. Investors also form their own opinion of Optimize Strategy's value that differs from its market value or its book value, called intrinsic value, which is Optimize Strategy'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 Optimize Strategy's market value can be influenced by many factors that don't directly affect Optimize Strategy'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 Optimize Strategy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Optimize Strategy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Optimize Strategy'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.
Optimize Strategy '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 Optimize Strategy'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 Optimize Strategy.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Optimize Strategy on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Optimize Strategy Index or generate 0.0% return on investment in Optimize Strategy over 180 days. Optimize Strategy is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Dividend, Vanguard Large, Invesco SP, and IShares Russell. Optimize Strategy is entity of United States More
Optimize Strategy 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 Optimize Strategy'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 Optimize Strategy Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | 0.0594 | |||
| Maximum Drawdown | 4.61 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.62 |
Optimize Strategy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Optimize Strategy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Optimize Strategy's standard deviation. In reality, there are many statistical measures that can use Optimize Strategy historical prices to predict the future Optimize Strategy's volatility.| Risk Adjusted Performance | 0.1548 | |||
| Jensen Alpha | 0.0494 | |||
| Total Risk Alpha | 0.0221 | |||
| Sortino Ratio | 0.0573 | |||
| Treynor Ratio | 0.1738 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Optimize Strategy'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.
Optimize Strategy Index Backtested Returns
Optimize Strategy appears to be very steady, given 3 months investment horizon. Optimize Strategy Index maintains Sharpe Ratio (i.e., Efficiency) of 0.25, which implies the entity had a 0.25% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Optimize Strategy Index, which you can use to evaluate the volatility of the etf. Please evaluate Optimize Strategy's Coefficient Of Variation of 500.83, semi deviation of 0.8094, and Risk Adjusted Performance of 0.1548 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 1.07, which implies a somewhat significant risk relative to the market. Optimize Strategy returns are very sensitive to returns on the market. As the market goes up or down, Optimize Strategy is expected to follow.
Auto-correlation | 0.36 |
Below average predictability
Optimize Strategy Index has below average predictability. Overlapping area represents the amount of predictability between Optimize Strategy time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Optimize Strategy Index price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Optimize Strategy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 1.56 |
Optimize Strategy Index lagged returns against current returns
Autocorrelation, which is Optimize Strategy 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 Optimize Strategy's etf expected returns. We can calculate the autocorrelation of Optimize Strategy returns to help us make a trade decision. For example, suppose you find that Optimize Strategy 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 |
Optimize Strategy 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 Optimize Strategy etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Optimize Strategy etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Optimize Strategy etf over time.
Current vs Lagged Prices |
| Timeline |
Optimize Strategy Lagged Returns
When evaluating Optimize Strategy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Optimize Strategy etf have on its future price. Optimize Strategy 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, Optimize Strategy autocorrelation shows the relationship between Optimize Strategy etf current value and its past values and can show if there is a momentum factor associated with investing in Optimize Strategy Index.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Optimize Strategy Index offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Optimize Strategy'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 Optimize Strategy Index Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Optimize Strategy Index Etf:Check out Optimize Strategy Correlation, Optimize Strategy Volatility and Optimize Strategy Alpha and Beta module to complement your research on Optimize Strategy. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Optimize Strategy 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.