Etf Opportunities Trust Etf Market Value
| ACVF Etf | USD 48.25 0.06 0.12% |
| Symbol | ETF |
The market value of ETF Opportunities Trust is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Opportunities' value that differs from its market value or its book value, called intrinsic value, which is ETF Opportunities' 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 ETF Opportunities' market value can be influenced by many factors that don't directly affect ETF Opportunities' 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 ETF Opportunities' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Opportunities is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Opportunities' 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.
ETF Opportunities '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 ETF Opportunities' 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 ETF Opportunities.
| 04/29/2025 |
| 07/28/2025 |
If you would invest 0.00 in ETF Opportunities on April 29, 2025 and sell it all today you would earn a total of 0.00 from holding ETF Opportunities Trust or generate 0.0% return on investment in ETF Opportunities over 90 days. ETF Opportunities is related to or competes with EA Series, Point Bridge, and EA Series. Under normal circumstances, the fund seeks to meet its investment objective by investing at least 80 percent of its net ... More
ETF Opportunities 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 ETF Opportunities' 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 ETF Opportunities Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6098 | |||
| Information Ratio | 0.0805 | |||
| Maximum Drawdown | 4.02 | |||
| Value At Risk | (0.83) | |||
| Potential Upside | 1.64 |
ETF Opportunities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETF Opportunities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETF Opportunities' standard deviation. In reality, there are many statistical measures that can use ETF Opportunities historical prices to predict the future ETF Opportunities' volatility.| Risk Adjusted Performance | 0.2933 | |||
| Jensen Alpha | 0.0923 | |||
| Total Risk Alpha | 0.0757 | |||
| Sortino Ratio | 0.0925 | |||
| Treynor Ratio | 0.312 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETF Opportunities' 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.
ETF Opportunities Trust Backtested Returns
ETF Opportunities appears to be very steady, given 3 months investment horizon. ETF Opportunities Trust secures Sharpe Ratio (or Efficiency) of 0.31, which denotes the etf had a 0.31 % return per unit of return volatility over the last 3 months. We have found twenty-seven technical indicators for ETF Opportunities Trust, which you can use to evaluate the volatility of the entity. Please utilize ETF Opportunities' mean deviation of 0.5189, and Coefficient Of Variation of 263.51 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, ETF Opportunities' returns are expected to increase less than the market. However, during the bear market, the loss of holding ETF Opportunities is expected to be smaller as well.
Auto-correlation | 0.93 |
Excellent predictability
ETF Opportunities Trust has excellent predictability. Overlapping area represents the amount of predictability between ETF Opportunities time series from 29th of April 2025 to 13th of June 2025 and 13th of June 2025 to 28th 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 ETF Opportunities Trust price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current ETF Opportunities price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.77 |
ETF Opportunities Trust lagged returns against current returns
Autocorrelation, which is ETF Opportunities 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 ETF Opportunities' etf expected returns. We can calculate the autocorrelation of ETF Opportunities returns to help us make a trade decision. For example, suppose you find that ETF Opportunities 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 |
ETF Opportunities 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 ETF Opportunities etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETF Opportunities etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETF Opportunities etf over time.
Current vs Lagged Prices |
| Timeline |
ETF Opportunities Lagged Returns
When evaluating ETF Opportunities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETF Opportunities etf have on its future price. ETF Opportunities 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, ETF Opportunities autocorrelation shows the relationship between ETF Opportunities etf current value and its past values and can show if there is a momentum factor associated with investing in ETF Opportunities Trust.
Regressed Prices |
| Timeline |
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Check out ETF Opportunities Correlation, ETF Opportunities Volatility and ETF Opportunities Alpha and Beta module to complement your research on ETF Opportunities. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
ETF Opportunities 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.