Rex Ai Equity Etf Market Value
| AIPI Etf | 43.91 0.24 0.55% |
| Symbol | REX |
The market value of REX AI Equity is measured differently than its book value, which is the value of REX that is recorded on the company's balance sheet. Investors also form their own opinion of REX AI's value that differs from its market value or its book value, called intrinsic value, which is REX AI'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 REX AI's market value can be influenced by many factors that don't directly affect REX AI'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 REX AI's value and its price as these two are different measures arrived at by different means. Investors typically determine if REX AI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, REX AI'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.
REX AI '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 REX AI'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 REX AI.
| 06/18/2025 |
| 07/18/2025 |
If you would invest 0.00 in REX AI on June 18, 2025 and sell it all today you would earn a total of 0.00 from holding REX AI Equity or generate 0.0% return on investment in REX AI over 30 days. REX AI is related to or competes with JPMorgan Equity, Global X, Amplify CWP, Global X, JPMorgan Nasdaq, FT Cboe, and Main Buywrite. More
REX AI 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 REX AI'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 REX AI Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9144 | |||
| Information Ratio | 0.1867 | |||
| Maximum Drawdown | 4.7 | |||
| Value At Risk | (0.83) | |||
| Potential Upside | 1.83 |
REX AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for REX AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as REX AI's standard deviation. In reality, there are many statistical measures that can use REX AI historical prices to predict the future REX AI's volatility.| Risk Adjusted Performance | 0.3265 | |||
| Jensen Alpha | 0.3316 | |||
| Total Risk Alpha | 0.1757 | |||
| Sortino Ratio | 0.1984 | |||
| Treynor Ratio | (17.40) |
REX AI Equity Backtested Returns
REX AI appears to be very steady, given 3 months investment horizon. REX AI Equity maintains Sharpe Ratio (i.e., Efficiency) of 0.5, which implies the entity had a 0.5 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for REX AI Equity, which you can use to evaluate the volatility of the etf. Please evaluate REX AI's Risk Adjusted Performance of 0.3265, semi deviation of 0.4734, and Coefficient Of Variation of 286.8 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of -0.0189, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning REX AI are expected to decrease at a much lower rate. During the bear market, REX AI is likely to outperform the market.
Auto-correlation | 0.42 |
Average predictability
REX AI Equity has average predictability. Overlapping area represents the amount of predictability between REX AI time series from 18th of June 2025 to 3rd of July 2025 and 3rd of July 2025 to 18th of July 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 REX AI Equity price movement. The serial correlation of 0.42 indicates that just about 42.0% of current REX AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
REX AI Equity lagged returns against current returns
Autocorrelation, which is REX AI 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 REX AI's etf expected returns. We can calculate the autocorrelation of REX AI returns to help us make a trade decision. For example, suppose you find that REX AI 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 |
REX AI 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 REX AI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if REX AI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in REX AI etf over time.
Current vs Lagged Prices |
| Timeline |
REX AI Lagged Returns
When evaluating REX AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of REX AI etf have on its future price. REX AI 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, REX AI autocorrelation shows the relationship between REX AI etf current value and its past values and can show if there is a momentum factor associated with investing in REX AI Equity.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether REX AI Equity offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of REX AI's 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 Rex Ai Equity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Rex Ai Equity Etf:Check out REX AI Correlation, REX AI Volatility and REX AI Alpha and Beta module to complement your research on REX AI. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
REX AI 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.