GraniteShares ETF Etf Forecast - Simple Moving Average
| CONL Etf | USD 13.88 0.51 3.54% |
The Simple Moving Average forecasted value of GraniteShares ETF Trust on the next trading day is expected to be 13.88 with a mean absolute deviation of 1.44 and the sum of the absolute errors of 86.20. GraniteShares Etf Forecast is based on your current time horizon.
As of now, the relative strength momentum indicator of GraniteShares ETF's share price is approaching 34 suggesting that the etf is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling GraniteShares ETF, making its price go up or down. Momentum 34
Sell Stretched
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.
The Simple Moving Average forecasted value of GraniteShares ETF Trust on the next trading day is expected to be 13.88 with a mean absolute deviation of 1.44 and the sum of the absolute errors of 86.20. GraniteShares ETF after-hype prediction price | USD 0.0 |
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.
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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 |
GraniteShares ETF Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of GraniteShares ETF Trust on the next trading day is expected to be 13.88 with a mean absolute deviation of 1.44, mean absolute percentage error of 3.53, and the sum of the absolute errors of 86.20.Please note that although there have been many attempts to predict GraniteShares Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that GraniteShares ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GraniteShares ETF Etf Forecast Pattern
| Backtest GraniteShares ETF | GraniteShares ETF Price Prediction | Buy or Sell Advice |
GraniteShares ETF Forecasted Value
In the context of forecasting GraniteShares ETF's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. GraniteShares ETF's downside and upside margins for the forecasting period are 6.72 and 21.04, respectively. We have considered GraniteShares ETF's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of GraniteShares ETF etf data series using in forecasting. Note that when a statistical model is used to represent GraniteShares ETF etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 117.5335 |
| Bias | Arithmetic mean of the errors | 0.67 |
| MAD | Mean absolute deviation | 1.4367 |
| MAPE | Mean absolute percentage error | 0.0676 |
| SAE | Sum of the absolute errors | 86.2 |
Predictive Modules for GraniteShares ETF
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GraniteShares ETF Trust. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.GraniteShares ETF After-Hype Price Prediction 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 0.00 and 7.14, 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 out of control 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 Prediction 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 |
1.54 | 7.16 | 0.00 | 0.04 | 0 Events / Month | 3 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
13.88 | 0.00 | 0.00 |
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GraniteShares ETF Hype Timeline
GraniteShares ETF Trust is currently traded for 13.88. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.04. GraniteShares is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at -1.54%. %. The volatility of related hype on GraniteShares ETF is about 26518.52%, with the expected price after the next announcement by competition of 13.84. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of GraniteShares ETF 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 | |||
| FNOV | FT Cboe Vest | 0.07 | 1 per month | 0.34 | (0.09) | 0.71 | (0.54) | 2.29 | |
| FOCT | First Trust Exchange Traded | 0.06 | 3 per month | 0.38 | (0.14) | 0.72 | (0.64) | 2.41 | |
| SUSL | iShares ESG MSCI | 0.03 | 4 per month | 0.83 | (0.02) | 1.45 | (1.49) | 4.12 | |
| FMAY | First Trust Exchange Traded | 0.07 | 10 per month | 0.19 | (0.18) | 0.53 | (0.49) | 1.70 | |
| FAGNX | Fidelity Advisor Energy | 0.00 | 0 per month | 0.00 | 0.0001 | 1.59 | (1.33) | 2.91 | |
| ROM | ProShares Ultra Technology | (0.16) | 16 per month | 3.30 | (0.03) | 3.59 | (5.17) | 11.52 | |
| LDUR | PIMCO Enhanced Low | 0.00 | 0 per month | 0.00 | (1.19) | 0.12 | (0.10) | 0.33 | |
| PEY | Invesco High Yield | (0.16) | 5 per month | 0.71 | (0.03) | 1.71 | (1.45) | 3.77 | |
| TMSL | T Rowe Price | (0.18) | 5 per month | 0.78 | 0.06 | 1.79 | (1.57) | 3.86 | |
| SCCR | Schwab Strategic Trust | 0.00 | 0 per month | 0.18 | (0.60) | 0.27 | (0.31) | 0.70 |
Other Forecasting Options for GraniteShares ETF
For every potential investor in GraniteShares, whether a beginner or expert, GraniteShares ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GraniteShares Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GraniteShares. Basic forecasting techniques help filter out the noise by identifying GraniteShares ETF's price trends.GraniteShares ETF Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with GraniteShares ETF etf to make a market-neutral strategy. Peer analysis of GraniteShares ETF could also be used in its relative valuation, which is a method of valuing GraniteShares ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GraniteShares ETF Market Strength Events
Market strength indicators help investors to evaluate how GraniteShares ETF etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GraniteShares ETF shares will generate the highest return on investment. By undertsting and applying GraniteShares ETF etf market strength indicators, traders can identify GraniteShares ETF Trust entry and exit signals to maximize returns.
| Accumulation Distribution | 294426.0 | |||
| Daily Balance Of Power | (0.53) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 14.34 | |||
| Day Typical Price | 14.19 | |||
| Price Action Indicator | (0.71) | |||
| Period Momentum Indicator | (0.51) | |||
| Relative Strength Index | 34.28 |
GraniteShares ETF Risk Indicators
The analysis of GraniteShares ETF's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in GraniteShares ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting graniteshares etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 5.48 | |||
| Standard Deviation | 7.14 | |||
| Variance | 50.94 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for GraniteShares ETF
The number of cover stories for GraniteShares ETF depends on current market conditions and GraniteShares ETF's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GraniteShares ETF is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about GraniteShares ETF's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of GraniteShares ETF to cross-verify your projections. For more information on how to buy GraniteShares Etf please use our How to buy in GraniteShares Etf guide.You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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.