Graniteshares Etf Trust Etf Market Value

AAPB Etf  USD 33.76  1.24  3.54%   
GraniteShares ETF's market value is the price at which a share of GraniteShares ETF trades on a public exchange. It measures the collective expectations of GraniteShares ETF Trust investors about its performance. GraniteShares ETF is trading at 33.76 as of the 22nd of December 2024, a 3.54 percent decrease since the beginning of the trading day. The etf's open price was 35.0.
With this module, you can estimate the performance of a buy and hold strategy of GraniteShares ETF Trust and determine expected loss or profit from investing in GraniteShares ETF over a given investment horizon. Check out GraniteShares ETF Correlation, GraniteShares ETF Volatility and GraniteShares ETF Alpha and Beta module to complement your research on GraniteShares ETF.
For information on how to trade GraniteShares Etf refer to our How to Trade GraniteShares Etf guide.
Symbol

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

GraniteShares 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 GraniteShares 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 GraniteShares ETF.
0.00
11/22/2024
No Change 0.00  0.0 
In 30 days
12/22/2024
0.00
If you would invest  0.00  in GraniteShares ETF on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding GraniteShares ETF Trust or generate 0.0% return on investment in GraniteShares ETF over 30 days. GraniteShares ETF is related to or competes with ProShares Ultra, Direxion Daily, ProShares Ultra, ProShares UltraPro, Direxion Daily, Direxion Daily, and Direxion Daily. GraniteShares ETF Trust - GraniteShares 2x Long Tilray Daily ETF is an exchange traded fund launched by GraniteShares In... More

GraniteShares 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 GraniteShares 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 GraniteShares ETF Trust upside and downside potential and time the market with a certain degree of confidence.

GraniteShares ETF Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares ETF's standard deviation. In reality, there are many statistical measures that can use GraniteShares ETF historical prices to predict the future GraniteShares ETF's volatility.
Hype
Prediction
LowEstimatedHigh
31.6333.8436.05
Details
Intrinsic
Valuation
LowRealHigh
28.2730.4837.14
Details
Naive
Forecast
LowNextHigh
30.2932.5034.71
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.4232.4935.56
Details

GraniteShares ETF Trust Backtested Returns

GraniteShares ETF appears to be very steady, given 3 months investment horizon. GraniteShares ETF Trust holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for GraniteShares ETF Trust, which you can use to evaluate the volatility of the entity. Please utilize GraniteShares ETF's risk adjusted performance of 0.129, and Market Risk Adjusted Performance of (5.17) to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of -0.0686, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GraniteShares ETF are expected to decrease at a much lower rate. During the bear market, GraniteShares ETF is likely to outperform the market.

Auto-correlation

    
  0.59  

Modest predictability

GraniteShares ETF Trust has modest predictability. Overlapping area represents the amount of predictability between GraniteShares ETF time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd of December 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 GraniteShares ETF Trust price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current GraniteShares ETF price fluctuation can be explain by its past prices.
Correlation Coefficient0.59
Spearman Rank Test0.77
Residual Average0.0
Price Variance0.44

GraniteShares ETF Trust lagged returns against current returns

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

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

GraniteShares ETF Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether GraniteShares ETF Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if GraniteShares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Graniteshares Etf Trust Etf. Highlighted below are key reports to facilitate an investment decision about Graniteshares Etf Trust Etf:
Check out GraniteShares ETF Correlation, GraniteShares ETF Volatility and GraniteShares ETF Alpha and Beta module to complement your research on GraniteShares ETF.
For information on how to trade GraniteShares Etf refer to our How to Trade GraniteShares Etf guide.
You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
GraniteShares 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 GraniteShares ETF technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of GraniteShares 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...