GraniteShares Etf Forecast - Simple Regression

UBRL Etf   23.28  0.05  0.22%   
The Simple Regression forecasted value of GraniteShares 2x Long on the next trading day is expected to be 24.93 with a mean absolute deviation of 2.36 and the sum of the absolute errors of 143.88. GraniteShares Etf Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through GraniteShares price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

GraniteShares Simple Regression Price Forecast For the 1st of December

Given 90 days horizon, the Simple Regression forecasted value of GraniteShares 2x Long on the next trading day is expected to be 24.93 with a mean absolute deviation of 2.36, mean absolute percentage error of 8.58, and the sum of the absolute errors of 143.88.
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 GraniteSharesGraniteShares Price PredictionBuy or Sell Advice 

GraniteShares Forecasted Value

In the context of forecasting GraniteShares' 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' downside and upside margins for the forecasting period are 19.74 and 30.13, respectively. We have considered GraniteShares' 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.
Market Value
23.28
24.93
Expected Value
30.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple 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.
AICAkaike Information Criteria120.2601
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3587
MAPEMean absolute percentage error0.0889
SAESum of the absolute errors143.879
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as GraniteShares 2x Long historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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 2x Long. 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.
Hype
Prediction
LowEstimatedHigh
18.0623.2528.44
Details
Intrinsic
Valuation
LowRealHigh
17.2822.4727.66
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.0622.9924.92
Details

Other Forecasting Options for GraniteShares

For every potential investor in GraniteShares, whether a beginner or expert, GraniteShares' 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' price trends.

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 2x Long Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GraniteShares' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of GraniteShares' current price.

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 2x Long entry and exit signals to maximize returns.

GraniteShares Risk Indicators

The analysis of GraniteShares' 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' 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.
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.

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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 Historical Fundamental Analysis of GraniteShares to cross-verify your projections.
You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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.