Graniteshares 175x Long Etf Market Value
| TSLR Etf | 49.47 5.24 11.85% |
| Symbol | GraniteShares |
The market value of GraniteShares 175x 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 175x's value that differs from its market value or its book value, called intrinsic value, which is GraniteShares 175x'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 175x's market value can be influenced by many factors that don't directly affect GraniteShares 175x'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 175x's value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares 175x is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares 175x'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 175x '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 175x'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 175x.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in GraniteShares 175x on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding GraniteShares 175x Long or generate 0.0% return on investment in GraniteShares 175x over 30 days. GraniteShares 175x is related to or competes with Freedom Day, Franklin Templeton, IShares MSCI, Tidal Trust, IShares Dividend, Altrius Global, and Invesco Exchange. GraniteShares 175x is entity of United States More
GraniteShares 175x 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 175x'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 175x Long upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.89 | |||
| Information Ratio | 0.2118 | |||
| Maximum Drawdown | 56.26 | |||
| Value At Risk | (8.04) | |||
| Potential Upside | 16.04 |
GraniteShares 175x Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares 175x's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares 175x's standard deviation. In reality, there are many statistical measures that can use GraniteShares 175x historical prices to predict the future GraniteShares 175x's volatility.| Risk Adjusted Performance | 0.1722 | |||
| Jensen Alpha | 1.59 | |||
| Total Risk Alpha | 0.5961 | |||
| Sortino Ratio | 0.3245 | |||
| Treynor Ratio | 0.5286 |
GraniteShares 175x Long Backtested Returns
GraniteShares 175x is not too volatile given 3 months investment horizon. GraniteShares 175x Long holds Efficiency (Sharpe) Ratio of 0.22, which attests that the entity had a 0.22% return per unit of standard deviation over the last 3 months. We were able to break down and interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 2.0% are justified by taking the suggested risk. Use GraniteShares 175x Long market risk adjusted performance of 0.5386, and Risk Adjusted Performance of 0.1722 to evaluate company specific risk that cannot be diversified away. The etf retains a Market Volatility (i.e., Beta) of 3.83, 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 175x will likely underperform.
Auto-correlation | 0.32 |
Below average predictability
GraniteShares 175x Long has below average predictability. Overlapping area represents the amount of predictability between GraniteShares 175x time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 175x Long price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current GraniteShares 175x price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 31.05 |
GraniteShares 175x Long lagged returns against current returns
Autocorrelation, which is GraniteShares 175x 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 175x's etf expected returns. We can calculate the autocorrelation of GraniteShares 175x returns to help us make a trade decision. For example, suppose you find that GraniteShares 175x 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 175x 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 175x etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares 175x etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GraniteShares 175x etf over time.
Current vs Lagged Prices |
| Timeline |
GraniteShares 175x Lagged Returns
When evaluating GraniteShares 175x's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares 175x etf have on its future price. GraniteShares 175x 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 175x autocorrelation shows the relationship between GraniteShares 175x etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares 175x Long.
Regressed Prices |
| Timeline |
Pair Trading with GraniteShares 175x
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 GraniteShares 175x 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 GraniteShares 175x will appreciate offsetting losses from the drop in the long position's value.Moving together with GraniteShares Etf
| 0.81 | SSO | ProShares Ultra SP500 | PairCorr |
| 0.8 | SPXL | Direxion Daily SP500 | PairCorr |
| 0.81 | QLD | ProShares Ultra QQQ | PairCorr |
| 0.8 | UPRO | ProShares UltraPro SP500 | PairCorr |
Moving against GraniteShares Etf
The ability to find closely correlated positions to GraniteShares 175x could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GraniteShares 175x 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 GraniteShares 175x - 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 GraniteShares 175x Long to buy it.
The correlation of GraniteShares 175x 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 GraniteShares 175x moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GraniteShares 175x Long 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 GraniteShares 175x 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.Check out GraniteShares 175x Correlation, GraniteShares 175x Volatility and GraniteShares 175x Alpha and Beta module to complement your research on GraniteShares 175x. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
GraniteShares 175x 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.