Tidal Etf Trust Etf Market Value
| JOJO Etf | USD 13.78 0.13 0.95% |
| 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.
| 07/28/2022 |
| 04/18/2024 |
If you would invest 0.00 in Tidal ETF on July 28, 2022 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 630 days. Tidal ETF is related to or competes with Axonic Strategic. Under normal circumstances, at least 80 percent of its net assets, plus borrowings for investment purposes, will be 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.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 2.89 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 0.7618 |
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 | (0.11) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.29) |
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
Tidal ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the etf had a -0.13% return per unit of risk over the last 3 months. Tidal ETF Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tidal ETF's Variance of 0.3467, coefficient of variation of (553.27), and Risk Adjusted Performance of (0.11) to confirm the risk estimate we provide. The entity has a beta of 0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tidal ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tidal ETF is expected to be smaller as well.
Auto-correlation | -0.05 |
Very weak reverse predictability
Tidal ETF Trust has very weak reverse predictability. Overlapping area represents the amount of predictability between Tidal ETF time series from 28th of July 2022 to 8th of June 2023 and 8th of June 2023 to 18th of April 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 -0.05 indicates that only as little as 5.0% of current Tidal ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
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 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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.