Strategy Shares Nasdaq Etf Market Value
| HNDL Etf | USD 22.26 0.09 0.41% |
| Symbol | Strategy |
The market value of Strategy Shares Nasdaq is measured differently than its book value, which is the value of Strategy that is recorded on the company's balance sheet. Investors also form their own opinion of Strategy Shares' value that differs from its market value or its book value, called intrinsic value, which is Strategy Shares' 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 Strategy Shares' market value can be influenced by many factors that don't directly affect Strategy Shares' 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 Strategy Shares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Strategy Shares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Strategy Shares' 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.
Strategy Shares '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 Strategy Shares' 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 Strategy Shares.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Strategy Shares on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Strategy Shares Nasdaq or generate 0.0% return on investment in Strategy Shares over 30 days. Strategy Shares is related to or competes with NEOS ETF, First Trust, Amplify High, Global X, and Global X. The fund will invest at least 80 percent of its assets in securities of the NASDAQ 7 HANDL Index More
Strategy Shares 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 Strategy Shares' 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 Strategy Shares Nasdaq upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.561 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 2.2 | |||
| Value At Risk | (0.82) | |||
| Potential Upside | 0.699 |
Strategy Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strategy Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strategy Shares' standard deviation. In reality, there are many statistical measures that can use Strategy Shares historical prices to predict the future Strategy Shares' volatility.| Risk Adjusted Performance | 0.0642 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.0857 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strategy Shares' 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.
Strategy Shares Nasdaq Backtested Returns
As of now, Strategy Etf is very steady. Strategy Shares Nasdaq owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0969, which indicates the etf had a 0.0969% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Strategy Shares Nasdaq, which you can use to evaluate the volatility of the etf. Please validate Strategy Shares' Coefficient Of Variation of 1101.21, risk adjusted performance of 0.0642, and Semi Deviation of 0.4751 to confirm if the risk estimate we provide is consistent with the expected return of 0.0491%. The entity has a beta of 0.42, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Strategy Shares' returns are expected to increase less than the market. However, during the bear market, the loss of holding Strategy Shares is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
Strategy Shares Nasdaq has very good predictability. Overlapping area represents the amount of predictability between Strategy Shares time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Strategy Shares Nasdaq price movement. The serial correlation of 0.83 indicates that around 83.0% of current Strategy Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Strategy Shares Nasdaq lagged returns against current returns
Autocorrelation, which is Strategy Shares 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 Strategy Shares' etf expected returns. We can calculate the autocorrelation of Strategy Shares returns to help us make a trade decision. For example, suppose you find that Strategy Shares 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 |
Strategy Shares 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 Strategy Shares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strategy Shares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Strategy Shares etf over time.
Current vs Lagged Prices |
| Timeline |
Strategy Shares Lagged Returns
When evaluating Strategy Shares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strategy Shares etf have on its future price. Strategy Shares 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, Strategy Shares autocorrelation shows the relationship between Strategy Shares etf current value and its past values and can show if there is a momentum factor associated with investing in Strategy Shares Nasdaq.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Strategy Shares Correlation, Strategy Shares Volatility and Strategy Shares Alpha and Beta module to complement your research on Strategy Shares. For more information on how to buy Strategy Etf please use our How to buy in Strategy Etf guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Strategy Shares 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.