T Rex 2x Inverse Etf Market Value
| MSTZ Etf | 0.95 0.12 11.21% |
| Symbol | MSTZ |
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.
| 11/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in T REX on November 29, 2023 and sell it all today you would earn a total of 0.00 from holding T REX 2X Inverse or generate 0.0% return on investment in T REX over 360 days.
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 Inverse upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.39) | |||
| Maximum Drawdown | 62.9 | |||
| Value At Risk | (26.75) | |||
| Potential Upside | 11.99 |
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 | (0.28) | |||
| Jensen Alpha | (4.95) | |||
| Total Risk Alpha | (7.63) | |||
| Treynor Ratio | 1.45 |
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 -0.38, which indicates the etf had a -0.38% return per unit of standard deviation over the last 3 months. T REX 2X Inverse exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate T REX's Standard Deviation of 14.18, risk adjusted performance of (0.28), and Market Risk Adjusted Performance of 1.46 to confirm the risk estimate we provide. The entity has a beta of -3.72, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning T REX are expected to decrease by larger amounts. On the other hand, during market turmoil, T REX is expected to outperform it.
Auto-correlation | 0.00 |
No correlation between past and present
T REX 2X Inverse has no correlation between past and present. Overlapping area represents the amount of predictability between T REX time series from 29th of November 2023 to 27th of May 2024 and 27th of May 2024 to 23rd 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 T REX 2X price movement. The serial correlation of 0.0 indicates that just 0.0% of current T REX price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 Inverse.
Regressed Prices |
| Timeline |