Etf Opportunities Trust Etf Market Value

VSLU Etf  USD 37.10  0.18  0.48%   
ETF Opportunities' market value is the price at which a share of ETF Opportunities trades on a public exchange. It measures the collective expectations of ETF Opportunities Trust investors about its performance. ETF Opportunities is selling for under 37.10 as of the 28th of November 2024; that is 0.48 percent decrease since the beginning of the trading day. The etf's last reported lowest price was 37.01.
With this module, you can estimate the performance of a buy and hold strategy of ETF Opportunities Trust and determine expected loss or profit from investing in ETF Opportunities over a given investment horizon. Check out ETF Opportunities Correlation, ETF Opportunities Volatility and ETF Opportunities Alpha and Beta module to complement your research on ETF Opportunities.
Symbol

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.
0.00
10/29/2024
No Change 0.00  0.0 
In 31 days
11/28/2024
0.00
If you would invest  0.00  in ETF Opportunities on October 29, 2024 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 30 days. ETF Opportunities is related to or competes with Acruence Active, Franklin Exponential, First Trust, First Trust, and ZEGA Buy. Under normal circumstances, the fund will invest at least 80 percent of its net assets in equity securities of large cap... 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.

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.
Hype
Prediction
LowEstimatedHigh
36.3537.1137.87
Details
Intrinsic
Valuation
LowRealHigh
35.9936.7537.51
Details
Naive
Forecast
LowNextHigh
36.2236.9937.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
36.3536.9737.60
Details

ETF Opportunities Trust Backtested Returns

Currently, ETF Opportunities Trust is very steady. ETF Opportunities Trust secures Sharpe Ratio (or Efficiency) of 0.1, which denotes the etf had a 0.1% return per unit of return volatility over the last 3 months. We have found twenty-eight technical indicators for ETF Opportunities Trust, which you can use to evaluate the volatility of the entity. Please confirm ETF Opportunities' mean deviation of 0.5593, and Downside Deviation of 0.8155 to check if the risk estimate we provide is consistent with the expected return of 0.0792%. The etf shows a Beta (market volatility) of -0.0272, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ETF Opportunities are expected to decrease at a much lower rate. During the bear market, ETF Opportunities is likely to outperform the market.

Auto-correlation

    
  0.62  

Good predictability

ETF Opportunities Trust has good predictability. Overlapping area represents the amount of predictability between ETF Opportunities time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 ETF Opportunities Trust price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current ETF Opportunities price fluctuation can be explain by its past prices.
Correlation Coefficient0.62
Spearman Rank Test0.11
Residual Average0.0
Price Variance0.07

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  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
When determining whether ETF Opportunities Trust is a strong investment it is important to analyze ETF Opportunities' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ETF Opportunities' future performance. For an informed investment choice regarding ETF Etf, refer to the following important reports:
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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.
A focus of ETF Opportunities technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of ETF Opportunities trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...