ETF Opportunities Etf Market Value

UBCB Etf  USD 19.29  0.70  3.77%   
ETF Opportunities' market value is the price at which a share of ETF Opportunities stock trades on a public exchange. It measures the collective expectations of ETF Opportunities Trust investors about the entity's future performance. 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. Also, please take a look at 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 Opportunities 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 ETF Opportunities value 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
02/08/2022
No Change 0.00  0.0 
In 11 months and 27 days
02/03/2023
0.00
If you would invest  0.00  in ETF Opportunities on February 8, 2022 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 360 days. ETF Opportunities is related to or competes with ETF Opportunities, ETF Opportunities, ETF Opportunities, ETF Opportunities, ZEGA Buy, and Hartford Total. The fund is actively managed by proprietary artificial intelligence algorithms 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of ETF Opportunities in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
17.6619.2920.92
Details
Intrinsic
Valuation
LowReal ValueHigh
17.3919.0220.65
Details
Naive
Forecast
LowNext ValueHigh
17.7019.3320.96
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.3617.6218.87
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ETF Opportunities. Your research has to be compared to or analyzed against ETF Opportunities' peers to derive any actionable benefits. When done correctly, ETF Opportunities' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in ETF Opportunities Trust.

ETF Opportunities Trust Backtested Returns

We consider ETF Opportunities very steady. ETF Opportunities Trust secures Sharpe Ratio (or Efficiency) of 0.0866, which denotes the etf had 0.0866% of return per unit of return volatility over the last 3 months. Our approach to predicting the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for ETF Opportunities Trust, which you can use to evaluate the future volatility of the entity. Please confirm ETF Opportunities Trust downside deviation of 1.54, and Mean Deviation of 1.27 to check if the risk estimate we provide is consistent with the expected return of 0.14%.
The etf shows a Beta (market volatility) of 1.1404, which means a somewhat significant risk relative to the market. Let's try to break down what ETF Opportunities's beta means in this case. ETF Opportunities returns are very sensitive to returns on the market. As the market goes up or down, ETF Opportunities is expected to follow. Although it is important to respect ETF Opportunities Trust historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. The approach to predicting future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By examining ETF Opportunities Trust technical indicators, you can today evaluate if the expected return of 0.14% will be sustainable into the future.

Auto-correlation

    
  0.55  

Modest predictability

ETF Opportunities Trust has modest predictability. Overlapping area represents the amount of predictability between ETF Opportunities time series from 8th of February 2022 to 7th of August 2022 and 7th of August 2022 to 3rd of February 2023. 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 0.55 indicates that about 55.0% of current ETF Opportunities price fluctuation can be explain by its past prices.
Correlation Coefficient0.55
Spearman Rank Test0.48
Residual Average0.0
Price Variance1.97

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 etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock 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  

Be your own money manager

Our tools can tell you how much better you can do entering a position in ETF Opportunities without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Also, please take a look at ETF Opportunities Correlation, ETF Opportunities Volatility and ETF Opportunities Alpha and Beta module to complement your research on ETF Opportunities. Note that the ETF Opportunities Trust information on this page should be used as a complementary analysis to other ETF Opportunities' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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When running ETF Opportunities Trust price analysis, check to measure ETF Opportunities' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ETF Opportunities is operating at the current time. Most of ETF Opportunities' value examination focuses on studying past and present price action to predict the probability of ETF Opportunities' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move ETF Opportunities' price. Additionally, you may evaluate how the addition of ETF Opportunities to your portfolios can decrease your overall portfolio volatility.
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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...