De-SPAC Etf Market Value


USD 5.40  0.09  1.64%   

De-SPAC ETF's market value is the price at which a share of De-SPAC ETF stock trades on a public exchange. It measures the collective expectations of The De-SPAC ETF investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of The De-SPAC ETF and determine expected loss or profit from investing in De-SPAC ETF over a given investment horizon. Continue to De-SPAC ETF Correlation, De-SPAC ETF Volatility and De-SPAC ETF Alpha and Beta module to complement your research on De-SPAC ETF.

The market value of De-SPAC ETF is measured differently than its book value, which is the value of De-SPAC that is recorded on the company's balance sheet. Investors also form their own opinion of De-SPAC ETF's value that differs from its market value or its book value, called intrinsic value, which is De-SPAC ETF'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 De-SPAC ETF's market value can be influenced by many factors that don't directly affect De-SPAC ETF'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 De-SPAC ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine De-SPAC ETF value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, De-SPAC ETF'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.

De-SPAC ETF '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 De-SPAC ETF'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 De-SPAC ETF.
No Change 0.00  0.0 
In 31 days
If you would invest  0.00  in De-SPAC ETF on November 7, 2022 and sell it all today you would earn a total of 0.00 from holding The De-SPAC ETF or generate 0.0% return on investment in De-SPAC ETF over 30 days. The adviser attempts to replicate the index by investing all, or substantially all , of its net assets in the stocks tha... More

De-SPAC ETF 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 De-SPAC ETF'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 The De-SPAC ETF upside and downside potential and time the market with a certain degree of confidence.

De-SPAC ETF Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for De-SPAC ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as De-SPAC ETF's standard deviation. In reality, there are many statistical measures that can use De-SPAC ETF historical prices to predict the future De-SPAC ETF's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of De-SPAC ETF's 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 De-SPAC ETF in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
LowNext ValueHigh
Band Projection (param)
LowerMiddle BandUpper
Please note, it is not enough to conduct a financial or market analysis of a single entity such as De-SPAC ETF. Your research has to be compared to or analyzed against De-SPAC ETF's peers to derive any actionable benefits. When done correctly, De-SPAC ETF's 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 De-SPAC ETF.

De-SPAC ETF Backtested Returns

De-SPAC ETF secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the etf had -0.14% of return per unit of standard deviation over the last 3 months. Macroaxis philosophy in predicting the risk of any etf is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. The De-SPAC ETF exposes twenty-six different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm De-SPAC ETF risk adjusted performance of (0.17), and Mean Deviation of 2.63 to check the risk estimate we provide.
The etf shows a Beta (market volatility) of 1.5422, which means a somewhat significant risk relative to the market. Let's try to break down what De-SPAC's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, De-SPAC ETF will likely underperform. Even though it is essential to pay attention to De-SPAC ETF historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy in predicting any etf's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. The De-SPAC ETF exposes twenty-six different technical indicators, which can help you to evaluate its performance.



Very weak predictability

The De-SPAC ETF has very weak predictability. Overlapping area represents the amount of predictability between De-SPAC ETF time series from 7th of November 2022 to 22nd of November 2022 and 22nd of November 2022 to 7th of December 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of De-SPAC ETF price movement. The serial correlation of 0.17 indicates that over 17.0% of current De-SPAC ETF price fluctuation can be explain by its past prices.
Correlation Coefficient0.17
Spearman Rank Test0.03
Residual Average0.0
Price Variance0.07

De-SPAC ETF lagged returns against current returns

Autocorrelation, which is De-SPAC ETF 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 De-SPAC ETF's etf expected returns. We can calculate the autocorrelation of De-SPAC ETF returns to help us make a trade decision. For example, suppose you find that De-SPAC ETF 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   

De-SPAC ETF 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 De-SPAC ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if De-SPAC ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in De-SPAC ETF etf over time.
   Current vs Lagged Prices   

De-SPAC ETF Lagged Returns

When evaluating De-SPAC ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of De-SPAC ETF etf have on its future price. De-SPAC ETF 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, De-SPAC ETF autocorrelation shows the relationship between De-SPAC ETF etf current value and its past values and can show if there is a momentum factor associated with investing in The De-SPAC ETF.
   Regressed Prices   

Be your own money manager

Our tools can tell you how much better you can do entering a position in De-SPAC ETF 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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Continue to De-SPAC ETF Correlation, De-SPAC ETF Volatility and De-SPAC ETF Alpha and Beta module to complement your research on De-SPAC ETF. You can also try Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

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De-SPAC ETF 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 De-SPAC ETF technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of De-SPAC ETF 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...