Graniteshares Etf Trust Etf Price Prediction
| DRUP Etf | 65.32 0.73 1.13% |
Momentum 48
Impartial
Oversold | Overbought |
Using GraniteShares ETF hype-based prediction, you can estimate the value of GraniteShares ETF Trust from the perspective of GraniteShares ETF response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards GraniteShares ETF using GraniteShares ETF's stock options and short interest. It helps to benchmark the overall future attitude of investors towards GraniteShares using crowd psychology based on the activity and movement of GraniteShares ETF's stock price.
GraniteShares ETF Implied Volatility | 0.29 |
GraniteShares ETF's implied volatility exposes the market's sentiment of GraniteShares ETF Trust stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if GraniteShares ETF's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that GraniteShares ETF stock will not fluctuate a lot when GraniteShares ETF's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in GraniteShares ETF to buy its etf at a price that has no basis in reality. In that case, they are not buying GraniteShares because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell etfs at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
GraniteShares ETF after-hype prediction price | USD 64.63 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current GraniteShares contract
Based on the Rule 16, the options market is currently suggesting that GraniteShares ETF Trust will have an average daily up or down price movement of about 0.0181% per day over the life of the 2026-03-20 option contract. With GraniteShares ETF trading at USD 65.32, that is roughly USD 0.0118 . If you think that the market is fully incorporating GraniteShares ETF's daily price movement you should consider acquiring GraniteShares ETF Trust options at the current volatility level of 0.29%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
GraniteShares | Build AI portfolio with GraniteShares Etf |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares 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.
GraniteShares ETF After-Hype Price Density Analysis
As far as predicting the price of GraniteShares ETF at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in GraniteShares ETF or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of GraniteShares ETF, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GraniteShares ETF Estimiated After-Hype Price Volatility
In the context of predicting GraniteShares ETF's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GraniteShares ETF's historical news coverage. GraniteShares ETF's after-hype downside and upside margins for the prediction period are 63.55 and 65.71, respectively. We have considered GraniteShares ETF's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
GraniteShares ETF is very steady at this time. Analysis and calculation of next after-hype price of GraniteShares ETF Trust is based on 3 months time horizon.
GraniteShares ETF Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as GraniteShares ETF is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GraniteShares ETF backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with GraniteShares ETF, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.10 | 1.08 | 0.04 | 0.00 | 1 Events / Month | 3 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
65.32 | 64.63 | 0.06 |
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GraniteShares ETF Hype Timeline
GraniteShares ETF Trust is currently traded for 65.32. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of 0.0. GraniteShares is anticipated to increase in value after the next headline, with the price projected to jump to 64.63 or above. The average volatility of media hype impact on the company the price is over 100%. The price gain on the next news is projected to be 0.06%, whereas the daily expected return is currently at -0.1%. The volatility of related hype on GraniteShares ETF is about 3724.14%, with the expected price after the next announcement by competition of 65.32. Given the investment horizon of 90 days the next anticipated press release will be very soon. Check out GraniteShares ETF Basic Forecasting Models to cross-verify your projections.GraniteShares ETF Related Hype Analysis
Having access to credible news sources related to GraniteShares ETF's direct competition is more important than ever and may enhance your ability to predict GraniteShares ETF's future price movements. Getting to know how GraniteShares ETF's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how GraniteShares ETF may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TRND | Pacer Trendpilot | (0.41) | 3 per month | 0.60 | (0.02) | 1.07 | (1.12) | 2.68 | |
| FCTR | First Trust Lunt | 0.36 | 2 per month | 1.40 | 0.01 | 1.95 | (2.18) | 5.81 | |
| INQQ | India Internet Ecommerce | 0.01 | 17 per month | 0.00 | (0.36) | 1.05 | (1.68) | 5.06 | |
| XDQQ | Innovator Growth 100 Accelerated | (0.17) | 2 per month | 1.07 | (0.01) | 1.56 | (1.73) | 5.41 | |
| SPXN | ProShares SP 500 | 0.23 | 1 per month | 0.85 | (0.03) | 1.25 | (1.47) | 3.93 | |
| GSJY | Goldman Sachs ActiveBeta | (0.04) | 1 per month | 0.86 | 0.02 | 1.76 | (1.69) | 4.61 | |
| TOLL | Tema Monopolies and | 0.07 | 6 per month | 0.69 | 0.02 | 1.48 | (1.12) | 4.44 | |
| DIVL | Madison ETFs Trust | (0.04) | 1 per month | 0.56 | 0 | 1.35 | (1.19) | 2.78 | |
| TTEQ | T Rowe Price | 0.23 | 1 per month | 1.56 | (0.05) | 2.08 | (2.75) | 6.80 | |
| CSRE | Cohen Steers Real | 0.05 | 1 per month | 0.99 | (0.09) | 0.89 | (1.61) | 3.86 |
GraniteShares ETF Additional Predictive Modules
Most predictive techniques to examine GraniteShares price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GraniteShares using various technical indicators. When you analyze GraniteShares charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About GraniteShares ETF Predictive Indicators
The successful prediction of GraniteShares ETF stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as GraniteShares ETF Trust, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of GraniteShares ETF based on analysis of GraniteShares ETF hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to GraniteShares ETF's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to GraniteShares ETF's related companies.
Pair Trading with GraniteShares ETF
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 ETF 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 ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with GraniteShares Etf
| 0.7 | VGT | Vanguard Information | PairCorr |
| 0.63 | XLK | Technology Select Sector | PairCorr |
| 0.73 | IYW | iShares Technology ETF | PairCorr |
| 0.7 | CIBR | First Trust NASDAQ | PairCorr |
The ability to find closely correlated positions to GraniteShares ETF 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 ETF 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 ETF - 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 ETF Trust to buy it.
The correlation of GraniteShares ETF 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 ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GraniteShares ETF 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 GraniteShares ETF 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 ETF Basic Forecasting Models to cross-verify your projections. To learn how to invest in GraniteShares Etf, please use our How to Invest in GraniteShares ETF guide.You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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.