Tidal Trust Ii Etf Market Value

SPYT Etf   20.08  0.03  0.15%   
Tidal Trust's market value is the price at which a share of Tidal Trust trades on a public exchange. It measures the collective expectations of Tidal Trust II investors about its performance. Tidal Trust is selling for under 20.08 as of the 24th of November 2024; that is 0.15% up since the beginning of the trading day. The etf's last reported lowest price was 20.03.
With this module, you can estimate the performance of a buy and hold strategy of Tidal Trust II and determine expected loss or profit from investing in Tidal Trust over a given investment horizon. Check out Tidal Trust Correlation, Tidal Trust Volatility and Tidal Trust Alpha and Beta module to complement your research on Tidal Trust.
Symbol

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.
0.00
10/25/2024
No Change 0.00  0.0 
In 31 days
11/24/2024
0.00
If you would invest  0.00  in Tidal Trust on October 25, 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, Davis Select, IShares MSCI, SmartETFs Dividend, Listed Funds, IShares MSCI, and Principal Value. 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
19.4120.0920.77
Details
Intrinsic
Valuation
LowRealHigh
19.2019.8820.56
Details
Naive
Forecast
LowNextHigh
19.2219.9020.57
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.0420.0720.10
Details

Tidal Trust II Backtested Returns

Currently, Tidal Trust II is very steady. Tidal Trust II 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. We have found thirty technical indicators for Tidal Trust II, which you can use to evaluate the volatility of the etf. Please validate Tidal Trust's Coefficient Of Variation of 690.47, semi deviation of 0.5996, and Risk Adjusted Performance of 0.1098 to confirm if the risk estimate we provide is consistent with the expected return of 0.0898%. The entity has a beta of 0.7, 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

    
  0.57  

Modest predictability

Tidal Trust II has modest predictability. Overlapping area represents the amount of predictability between Tidal Trust time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 0.57 indicates that roughly 57.0% of current Tidal Trust price fluctuation can be explain by its past prices.
Correlation Coefficient0.57
Spearman Rank Test-0.78
Residual Average0.0
Price Variance0.01

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  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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.
A focus of Tidal Trust technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Tidal Trust trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...