Tidal Etf Trust Etf Market Value
| AHOY Etf | USD 23.75 0.30 1.28% |
| Symbol | Tidal |
The market value of Tidal ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is Tidal ETF'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 ETF's market value can be influenced by many factors that don't directly affect Tidal ETF'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 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tidal ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tidal ETF'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 ETF '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 ETF'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 ETF.
| 08/10/2023 |
| 05/06/2024 |
If you would invest 0.00 in Tidal ETF on August 10, 2023 and sell it all today you would earn a total of 0.00 from holding Tidal ETF Trust or generate 0.0% return on investment in Tidal ETF over 270 days. Tidal ETF is related to or competes with Anfield Universal, Aptus Drawdown, HUMANA, Barloworld, Morningstar Unconstrained, High-yield Municipal, and Thrivent High. Under normal market conditions, the fund will invest at least 80 percent of its net assets, plus any borrowings for inve... More
Tidal ETF 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 ETF'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 ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.581 | |||
| Information Ratio | 0.0665 | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 1.28 |
Tidal ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tidal ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tidal ETF's standard deviation. In reality, there are many statistical measures that can use Tidal ETF historical prices to predict the future Tidal ETF's volatility.| Risk Adjusted Performance | 0.1166 | |||
| Jensen Alpha | 0.0552 | |||
| Total Risk Alpha | 0.04 | |||
| Sortino Ratio | 0.0776 | |||
| Treynor Ratio | 0.134 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tidal ETF'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 ETF Trust Backtested Returns
We consider Tidal ETF very steady. Tidal ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the etf had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Tidal ETF Trust, which you can use to evaluate the volatility of the etf. Please validate Tidal ETF's Coefficient Of Variation of 544.48, risk adjusted performance of 0.1166, and Semi Deviation of 0.3445 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity has a beta of 0.85, which indicates possible diversification benefits within a given portfolio. Tidal ETF returns are very sensitive to returns on the market. As the market goes up or down, Tidal ETF is expected to follow.
Auto-correlation | -0.23 |
Weak reverse predictability
Tidal ETF Trust has weak reverse predictability. Overlapping area represents the amount of predictability between Tidal ETF time series from 10th of August 2023 to 23rd of December 2023 and 23rd of December 2023 to 6th of May 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 ETF Trust price movement. The serial correlation of -0.23 indicates that over 23.0% of current Tidal ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
Tidal ETF Trust lagged returns against current returns
Autocorrelation, which is Tidal ETF 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 ETF's etf expected returns. We can calculate the autocorrelation of Tidal ETF returns to help us make a trade decision. For example, suppose you find that Tidal ETF 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 ETF 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 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tidal ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tidal ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Tidal ETF Lagged Returns
When evaluating Tidal ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tidal ETF etf have on its future price. Tidal ETF 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 ETF autocorrelation shows the relationship between Tidal ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Tidal ETF Trust.
Regressed Prices |
| Timeline |
Pair Trading with Tidal ETF
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 ETF 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 ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Tidal Etf
| 0.86 | VTI | Vanguard Total Stock | PairCorr |
| 0.83 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
| 0.86 | IVV | iShares Core SP | PairCorr |
| 0.8 | VIG | Vanguard Dividend | PairCorr |
| 0.82 | VV | Vanguard Large Cap | PairCorr |
The ability to find closely correlated positions to Tidal ETF 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 ETF 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 ETF - 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 ETF Trust to buy it.
The correlation of Tidal ETF 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 ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tidal ETF Trust 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 ETF 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 ETF Correlation, Tidal ETF Volatility and Tidal ETF Alpha and Beta module to complement your research on Tidal ETF. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Tidal ETF 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.