Tidal Commodities Trust Etf Market Value
| DEFI Etf | USD 113.26 1.44 1.29% |
| Symbol | Tidal |
The market value of Tidal Commodities 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 Commodities' value that differs from its market value or its book value, called intrinsic value, which is Tidal Commodities' 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 Commodities' market value can be influenced by many factors that don't directly affect Tidal Commodities' 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 Commodities' value and its price as these two are different measures arrived at by different means. Investors typically determine if Tidal Commodities is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tidal Commodities' 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 Commodities '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 Commodities' 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 Commodities.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Tidal Commodities on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Tidal Commodities Trust or generate 0.0% return on investment in Tidal Commodities over 30 days. Tidal Commodities is related to or competes with Valkyrie Bitcoin, Listed Funds, Simplify Bitcoin, and Invesco Alerian. Tidal Commodities is entity of United States More
Tidal Commodities 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 Commodities' 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 Commodities Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.49 | |||
| Information Ratio | 0.2028 | |||
| Maximum Drawdown | 15.87 | |||
| Value At Risk | (3.55) | |||
| Potential Upside | 5.63 |
Tidal Commodities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tidal Commodities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tidal Commodities' standard deviation. In reality, there are many statistical measures that can use Tidal Commodities historical prices to predict the future Tidal Commodities' volatility.| Risk Adjusted Performance | 0.1932 | |||
| Jensen Alpha | 0.5211 | |||
| Total Risk Alpha | 0.273 | |||
| Sortino Ratio | 0.2729 | |||
| Treynor Ratio | 0.3453 |
Tidal Commodities Trust Backtested Returns
Tidal Commodities appears to be very steady, given 3 months investment horizon. Tidal Commodities Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the etf had a 0.24% return per unit of risk over the last 3 months. By inspecting Tidal Commodities' technical indicators, you can evaluate if the expected return of 0.79% is justified by implied risk. Please review Tidal Commodities' Semi Deviation of 1.99, risk adjusted performance of 0.1932, and Coefficient Of Variation of 413.55 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 2.32, 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 Commodities will likely underperform.
Auto-correlation | 0.78 |
Good predictability
Tidal Commodities Trust has good predictability. Overlapping area represents the amount of predictability between Tidal Commodities time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Commodities Trust price movement. The serial correlation of 0.78 indicates that around 78.0% of current Tidal Commodities price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 23.8 |
Tidal Commodities Trust lagged returns against current returns
Autocorrelation, which is Tidal Commodities 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 Commodities' etf expected returns. We can calculate the autocorrelation of Tidal Commodities returns to help us make a trade decision. For example, suppose you find that Tidal Commodities 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 Commodities 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 Commodities etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tidal Commodities etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tidal Commodities etf over time.
Current vs Lagged Prices |
| Timeline |
Tidal Commodities Lagged Returns
When evaluating Tidal Commodities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tidal Commodities etf have on its future price. Tidal Commodities 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 Commodities autocorrelation shows the relationship between Tidal Commodities etf current value and its past values and can show if there is a momentum factor associated with investing in Tidal Commodities Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Tidal Commodities Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tidal Commodities' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tidal Commodities Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Tidal Commodities Trust Etf:Check out Tidal Commodities Correlation, Tidal Commodities Volatility and Tidal Commodities Alpha and Beta module to complement your research on Tidal Commodities. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Tidal Commodities 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.