Tidal Trust Ii Etf Market Value
| SQY Etf | 19.47 0.03 0.15% |
| Symbol | Tidal |
The market value of Tidal Trust II is measured differently than its book value, which is the value of Tidal that is recorded on the company's balance sheet. Investors also form their own opinion of Tidal Trust's value that differs from its market value or its book value, called intrinsic value, which is Tidal Trust'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 Tidal Trust's market value can be influenced by many factors that don't directly affect Tidal Trust'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 Tidal Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tidal Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tidal Trust'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.
Tidal Trust '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 Tidal Trust'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 Tidal Trust.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Tidal Trust on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Tidal Trust II or generate 0.0% return on investment in Tidal Trust over 30 days. Tidal Trust is related to or competes with Global X, Amplify CWP, and JPMorgan Equity. Tidal Trust is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Tidal Trust 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 Tidal Trust'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 Tidal Trust II upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.81 | |||
| Information Ratio | 0.1257 | |||
| Maximum Drawdown | 12.09 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 3.03 |
Tidal Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tidal Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tidal Trust's standard deviation. In reality, there are many statistical measures that can use Tidal Trust historical prices to predict the future Tidal Trust's volatility.| Risk Adjusted Performance | 0.1526 | |||
| Jensen Alpha | 0.242 | |||
| Total Risk Alpha | 0.0412 | |||
| Sortino Ratio | 0.1459 | |||
| Treynor Ratio | 0.3347 |
Tidal Trust II Backtested Returns
Tidal Trust appears to be very steady, given 3 months investment horizon. Tidal Trust II owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the etf had a 0.2% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Tidal Trust II, which you can use to evaluate the volatility of the etf. Please review Tidal Trust's Coefficient Of Variation of 522.57, risk adjusted performance of 0.1526, and Semi Deviation of 1.33 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.17, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Tidal Trust will likely underperform.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Tidal Trust II has insignificant reverse predictability. Overlapping area represents the amount of predictability between Tidal Trust time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 Tidal Trust II price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Tidal Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Tidal Trust II lagged returns against current returns
Autocorrelation, which is Tidal Trust 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 Tidal Trust's etf expected returns. We can calculate the autocorrelation of Tidal Trust returns to help us make a trade decision. For example, suppose you find that Tidal Trust 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 |
Tidal Trust 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 Tidal Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tidal Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tidal Trust etf over time.
Current vs Lagged Prices |
| Timeline |
Tidal Trust Lagged Returns
When evaluating Tidal Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tidal Trust etf have on its future price. Tidal Trust 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, Tidal Trust autocorrelation shows the relationship between Tidal Trust etf current value and its past values and can show if there is a momentum factor associated with investing in Tidal Trust II.
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 Tidal Trust II is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Tidal Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Tidal Trust Ii Etf. Highlighted below are key reports to facilitate an investment decision about Tidal Trust Ii Etf:Check out Tidal Trust Correlation, Tidal Trust Volatility and Tidal Trust Alpha and Beta module to complement your research on Tidal Trust. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Tidal Trust 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.