Strategy Shares Newfoundresolve Etf Market Value
| ROMO Etf | USD 32.39 0.17 0.52% |
| Symbol | Strategy |
The market value of Strategy Shares Newf 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.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Strategy Shares on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Strategy Shares NewfoundReSolve or generate 0.0% return on investment in Strategy Shares over 180 days. Strategy Shares is related to or competes with Cambria Trinity, Northern Lights, Cambria Global, Alpha Architect, and Alpha Architect. The fund employs a passive management investment approach designed to track the total return performance, before fees an... 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 NewfoundReSolve upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7056 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.15 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 0.9635 |
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 | 0.104 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1163 |
Strategy Shares Newf Backtested Returns
As of now, Strategy Etf is very steady. Strategy Shares Newf owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Strategy Shares NewfoundReSolve, which you can use to evaluate the volatility of the etf. Please validate Strategy Shares' Coefficient Of Variation of 727.32, semi deviation of 0.5915, and Risk Adjusted Performance of 0.104 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity has a beta of 0.73, 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 | 0.41 |
Average predictability
Strategy Shares NewfoundReSolve has average predictability. Overlapping area represents the amount of predictability between Strategy Shares time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th 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 Newf price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Strategy Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
Strategy Shares Newf 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 NewfoundReSolve.
Regressed Prices |
| Timeline |
Pair Trading with Strategy Shares
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Strategy Shares position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Strategy Shares will appreciate offsetting losses from the drop in the long position's value.Moving together with Strategy Etf
| 0.66 | CLSC | Exchange Traded Concepts | PairCorr |
| 0.89 | RISN | Inspire Tactical Balanced | PairCorr |
| 0.93 | EAOA | iShares ESG Aware | PairCorr |
| 0.85 | DSJA | DSJA | PairCorr |
The ability to find closely correlated positions to Strategy Shares could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Strategy Shares when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Strategy Shares - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Strategy Shares NewfoundReSolve to buy it.
The correlation of Strategy Shares is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Strategy Shares moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Strategy Shares Newf moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Strategy Shares can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Strategy Shares Correlation, Strategy Shares Volatility and Strategy Shares Alpha and Beta module to complement your research on Strategy Shares. To learn how to invest in Strategy Etf, please use our How to Invest in Strategy Shares guide.You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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.