GraniteShares Etf Forecast - Polynomial Regression
| AMDS Etf | 2.12 0.08 3.64% |
The Polynomial Regression forecasted value of GraniteShares on the next trading day is expected to be 7.99 with a mean absolute deviation of 1.96 and the sum of the absolute errors of 119.75. GraniteShares Etf Forecast is based on your current time horizon.
GraniteShares | Build AI portfolio with GraniteShares Etf |
GraniteShares Polynomial Regression Price Forecast For the 31st of December
Given 90 days horizon, the Polynomial Regression forecasted value of GraniteShares on the next trading day is expected to be 7.99 with a mean absolute deviation of 1.96, mean absolute percentage error of 12.67, and the sum of the absolute errors of 119.75.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' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GraniteShares Etf Forecast Pattern
| Backtest GraniteShares | GraniteShares Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of GraniteShares etf data series using in forecasting. Note that when a statistical model is used to represent GraniteShares 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 | 120.6499 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9632 |
| MAPE | Mean absolute percentage error | 0.4411 |
| SAE | Sum of the absolute errors | 119.7545 |
Predictive Modules for GraniteShares
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. 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.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.
GraniteShares 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 to make a market-neutral strategy. Peer analysis of GraniteShares could also be used in its relative valuation, which is a method of valuing GraniteShares by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GraniteShares Market Strength Events
Market strength indicators help investors to evaluate how GraniteShares 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 shares will generate the highest return on investment. By undertsting and applying GraniteShares etf market strength indicators, traders can identify GraniteShares entry and exit signals to maximize returns.
Thematic Opportunities
Explore Investment Opportunities
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in small area income & poverty estimates. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
The market value of GraniteShares 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.