T Rex 2x Long Etf Market Value
| NVDX Etf | 9.88 0.89 9.90% |
| Symbol | NVDX |
The market value of T Rex 2X is measured differently than its book value, which is the value of NVDX that is recorded on the company's balance sheet. Investors also form their own opinion of T Rex's value that differs from its market value or its book value, called intrinsic value, which is T Rex'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 T Rex's market value can be influenced by many factors that don't directly affect T Rex'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 T Rex's value and its price as these two are different measures arrived at by different means. Investors typically determine if T Rex is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, T Rex'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.
T Rex '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 T Rex'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 T Rex.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in T Rex on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding T Rex 2X Long or generate 0.0% return on investment in T Rex over 90 days. T Rex is related to or competes with Freedom Day, IShares MSCI, Tidal Trust, IShares Dividend, SmartETFs Dividend, Listed Funds, and Martin Currie. T Rex is entity of United States. It is traded as Etf on BATS exchange. More
T Rex 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 T Rex'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 T Rex 2X Long upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 42.84 | |||
| Value At Risk | (12.69) | |||
| Potential Upside | 9.9 |
T Rex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for T Rex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as T Rex's standard deviation. In reality, there are many statistical measures that can use T Rex historical prices to predict the future T Rex's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | 0.5971 | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of T Rex'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.
T Rex 2X Backtested Returns
T Rex 2X owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0168, which indicates the etf had a -0.0168 % return per unit of standard deviation over the last 3 months. T Rex 2X Long exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate T Rex's Market Risk Adjusted Performance of (0.11), standard deviation of 7.99, and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The entity has a beta of 3.28, 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, T Rex will likely underperform.
Auto-correlation | 0.50 |
Modest predictability
T Rex 2X Long has modest predictability. Overlapping area represents the amount of predictability between T Rex time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of T Rex 2X price movement. The serial correlation of 0.5 indicates that about 50.0% of current T Rex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 3.36 |
T Rex 2X lagged returns against current returns
Autocorrelation, which is T Rex 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 T Rex's etf expected returns. We can calculate the autocorrelation of T Rex returns to help us make a trade decision. For example, suppose you find that T Rex 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 |
T Rex 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 T Rex etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if T Rex etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in T Rex etf over time.
Current vs Lagged Prices |
| Timeline |
T Rex Lagged Returns
When evaluating T Rex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of T Rex etf have on its future price. T Rex 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, T Rex autocorrelation shows the relationship between T Rex etf current value and its past values and can show if there is a momentum factor associated with investing in T Rex 2X Long.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether T Rex 2X 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 NVDX 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 T Rex 2x Long Etf. Highlighted below are key reports to facilitate an investment decision about T Rex 2x Long Etf:Check out T Rex Correlation, T Rex Volatility and T Rex Alpha and Beta module to complement your research on T Rex. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
T Rex 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.