Etf Opportunities Trust Etf Market Value

KDRN Etf  USD 23.70  0.08  0.34%   
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 at 23.70 as of the 30th of November 2024; that is 0.34 percent up since the beginning of the trading day. The etf's open price was 23.62.
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
10/31/2024
No Change 0.00  0.0 
In 31 days
11/30/2024
0.00
If you would invest  0.00  in ETF Opportunities on October 31, 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 Janus Detroit, IndexIQ Active, PGIM ETF, JPMorgan Short, and John Hancock. The fund seeks to achieve its investment objective by investing in a combination of exchange-traded funds focusing on fi... 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
23.4123.7023.99
Details
Intrinsic
Valuation
LowRealHigh
22.8023.0926.07
Details
Naive
Forecast
LowNextHigh
23.5123.8024.08
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
23.3123.5323.76
Details

ETF Opportunities Trust Backtested Returns

As of now, ETF Etf is very steady. ETF Opportunities Trust secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the etf had a 0.11% 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 0.1856, and Downside Deviation of 0.2594 to check if the risk estimate we provide is consistent with the expected return of 0.0304%. The etf shows a Beta (market volatility) of -0.0263, 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

    
  -0.3  

Weak reverse predictability

ETF Opportunities Trust has weak reverse predictability. Overlapping area represents the amount of predictability between ETF Opportunities time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 -0.3 indicates that nearly 30.0% of current ETF Opportunities price fluctuation can be explain by its past prices.
Correlation Coefficient-0.3
Spearman Rank Test-0.11
Residual Average0.0
Price Variance0.01

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  

Pair Trading with ETF Opportunities

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ETF Opportunities position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ETF Opportunities will appreciate offsetting losses from the drop in the long position's value.

Moving together with ETF Etf

  0.87IUSB iShares Core TotalPairCorr
  0.79FIXD First Trust TCWPairCorr
  0.87FBND Fidelity Total BondPairCorr
  0.84TOTL SPDR DoubleLine TotalPairCorr
  0.84HTRB Hartford Total ReturnPairCorr

Moving against ETF Etf

  0.62NVDL GraniteShares 15x LongPairCorr
  0.62NVDX T Rex 2XPairCorr
  0.62NVDU Direxion Daily NVDAPairCorr
  0.51CONL GraniteShares ETF TrustPairCorr
  0.5CRPT First Trust SkyBridgePairCorr
The ability to find closely correlated positions to ETF Opportunities could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ETF Opportunities when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ETF Opportunities - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ETF Opportunities Trust to buy it.
The correlation of ETF Opportunities is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ETF Opportunities moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ETF Opportunities Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ETF Opportunities can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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...