Graniteshares 2x Long Etf Market Value

AMDL Etf   15.75  0.64  4.24%   
GraniteShares' market value is the price at which a share of GraniteShares trades on a public exchange. It measures the collective expectations of GraniteShares 2x Long investors about its performance. GraniteShares is selling for 15.75 as of the 12th of October 2024. This is a 4.24 percent increase since the beginning of the trading day. The etf's lowest day price was 14.87.
With this module, you can estimate the performance of a buy and hold strategy of GraniteShares 2x Long and determine expected loss or profit from investing in GraniteShares over a given investment horizon. Check out GraniteShares Correlation, GraniteShares Volatility and GraniteShares Alpha and Beta module to complement your research on GraniteShares.
Symbol

The market value of GraniteShares 2x Long 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' value that differs from its market value or its book value, called intrinsic value, which is GraniteShares' 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' market value can be influenced by many factors that don't directly affect GraniteShares' 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' value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares' 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 '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 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.
0.00
09/12/2024
No Change 0.00  0.0 
In 30 days
10/12/2024
0.00
If you would invest  0.00  in GraniteShares on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding GraniteShares 2x Long or generate 0.0% return on investment in GraniteShares over 30 days. GraniteShares is related to or competes with Tidal Trust, Direxion Daily, and Direxion Daily. GraniteShares is entity of United States More

GraniteShares 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 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 2x Long upside and downside potential and time the market with a certain degree of confidence.

GraniteShares Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares' standard deviation. In reality, there are many statistical measures that can use GraniteShares historical prices to predict the future GraniteShares' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares' 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.
Hype
Prediction
LowEstimatedHigh
9.3015.8122.32
Details
Intrinsic
Valuation
LowRealHigh
7.4613.9720.48
Details
Naive
Forecast
LowNextHigh
8.1014.6121.12
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.3113.6917.06
Details

GraniteShares 2x Long Backtested Returns

GraniteShares 2x Long holds Efficiency (Sharpe) Ratio of -0.0233, which attests that the entity had a -0.0233% return per unit of standard deviation over the last 3 months. GraniteShares 2x Long exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GraniteShares' risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 3.29, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, GraniteShares will likely underperform.

Auto-correlation

    
  0.42  

Average predictability

GraniteShares 2x Long has average predictability. Overlapping area represents the amount of predictability between GraniteShares time series from 12th of September 2024 to 27th of September 2024 and 27th of September 2024 to 12th of October 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 2x Long price movement. The serial correlation of 0.42 indicates that just about 42.0% of current GraniteShares price fluctuation can be explain by its past prices.
Correlation Coefficient0.42
Spearman Rank Test0.34
Residual Average0.0
Price Variance0.6

GraniteShares 2x Long lagged returns against current returns

Autocorrelation, which is GraniteShares 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 expected returns. We can calculate the autocorrelation of GraniteShares returns to help us make a trade decision. For example, suppose you find that GraniteShares 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 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 is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares 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 over time.
   Current vs Lagged Prices   
       Timeline  

GraniteShares Lagged Returns

When evaluating GraniteShares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares etf have on its future price. GraniteShares 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 autocorrelation shows the relationship between GraniteShares etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares 2x Long.
   Regressed Prices   
       Timeline  

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When determining whether GraniteShares 2x Long is a strong investment it is important to analyze GraniteShares' 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 GraniteShares' future performance. For an informed investment choice regarding GraniteShares Etf, refer to the following important reports:
Check out GraniteShares Correlation, GraniteShares Volatility and GraniteShares Alpha and Beta module to complement your research on GraniteShares.
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 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 technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of GraniteShares 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...