Tidal Trust Ii Etf Market Value
| DISO Etf | 17.27 0.55 3.29% |
| 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.
| 10/15/2024 |
| 11/14/2024 |
If you would invest 0.00 in Tidal Trust on October 15, 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 Freedom Day, IShares MSCI, IShares Dividend, SmartETFs Dividend, Listed Funds, Martin Currie, and Global X. 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 | 0.8085 | |||
| Information Ratio | 0.0974 | |||
| Maximum Drawdown | 3.95 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 1.4 |
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 | 0.2197 | |||
| Jensen Alpha | 0.1275 | |||
| Total Risk Alpha | 0.0693 | |||
| Sortino Ratio | 0.098 | |||
| Treynor Ratio | 0.336 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tidal Trust'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.
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 0.26, which indicates the etf had a 0.26% 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 Risk Adjusted Performance of 0.2197, semi deviation of 0.4867, and Coefficient Of Variation of 347.73 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.67, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tidal Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tidal Trust is expected to be smaller as well.
Auto-correlation | -0.34 |
Poor reverse predictability
Tidal Trust II has poor reverse predictability. Overlapping area represents the amount of predictability between Tidal Trust time series from 15th of October 2024 to 30th of October 2024 and 30th of October 2024 to 14th 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 -0.34 indicates that nearly 34.0% of current Tidal Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
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 |
Pair Trading with Tidal Trust
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 Tidal Trust 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 Tidal Trust will appreciate offsetting losses from the drop in the long position's value.Moving together with Tidal Etf
| 0.95 | JEPI | JPMorgan Equity Premium | PairCorr |
| 0.95 | XYLD | Global X SP | PairCorr |
| 0.93 | DIVO | Amplify CWP Enhanced | PairCorr |
| 0.94 | RYLD | Global X Russell | PairCorr |
| 0.95 | JEPQ | JPMorgan Nasdaq Equity | PairCorr |
Moving against Tidal Etf
The ability to find closely correlated positions to Tidal Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tidal Trust 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 Tidal Trust - 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 Tidal Trust II to buy it.
The correlation of Tidal Trust 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 Tidal Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tidal Trust II 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 Tidal Trust 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 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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.