GraniteShares Etf Forecast - Naive Prediction

AMDS Etf   2.12  0.08  3.64%   
The Naive Prediction forecasted value of GraniteShares on the next trading day is expected to be 1.77 with a mean absolute deviation of 2.09 and the sum of the absolute errors of 127.54. GraniteShares Etf Forecast is based on your current time horizon.
At this time, the relative strength momentum indicator of GraniteShares' share price is approaching 47. This suggests 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, making its price go up or down.

Momentum 47

 Impartial

 
Oversold
 
Overbought
The successful prediction of GraniteShares' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of GraniteShares and does not consider all of the tangible or intangible factors available from GraniteShares' fundamental data. We analyze noise-free headlines and recent hype associated with GraniteShares, which may create opportunities for some arbitrage if properly timed.
Using GraniteShares hype-based prediction, you can estimate the value of GraniteShares from the perspective of GraniteShares response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of GraniteShares on the next trading day is expected to be 1.77 with a mean absolute deviation of 2.09 and the sum of the absolute errors of 127.54.

GraniteShares after-hype prediction price

    
  $ 2.12  
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.
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 various price indices.

GraniteShares 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.
A naive forecasting model for GraniteShares is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of GraniteShares value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

GraniteShares Naive Prediction Price Forecast For the 2nd of January

Given 90 days horizon, the Naive Prediction forecasted value of GraniteShares on the next trading day is expected to be 1.77 with a mean absolute deviation of 2.09, mean absolute percentage error of 11.35, and the sum of the absolute errors of 127.54.
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 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria120.5395
BiasArithmetic mean of the errors None
MADMean absolute deviation2.0908
MAPEMean absolute percentage error0.5044
SAESum of the absolute errors127.5392
This model is not at all useful as a medium-long range forecasting tool of GraniteShares. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict GraniteShares. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.
Hype
Prediction
LowEstimatedHigh
2.122.122.12
Details
Intrinsic
Valuation
LowRealHigh
1.913.233.23
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-3.74.2512.21
Details

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

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether GraniteShares offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GraniteShares' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Graniteshares Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Graniteshares Etf:
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 various price indices.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
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.