Metalpha Technology Etf Forecast - 20 Period Moving Average

MATH Etf  USD 0.96  0.05  5.49%   
The 20 Period Moving Average forecasted value of Metalpha Technology Holding on the next trading day is expected to be 1.14 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 2.92. Metalpha Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Metalpha Technology's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Metalpha Technology Holding is based on a synthetically constructed Metalpha Technologydaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Metalpha Technology 20 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Metalpha Technology Holding on the next trading day is expected to be 1.14 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.92.
Please note that although there have been many attempts to predict Metalpha 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 Metalpha Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Metalpha Technology Etf Forecast Pattern

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Metalpha Technology Forecasted Value

In the context of forecasting Metalpha Technology'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. Metalpha Technology's downside and upside margins for the forecasting period are 0.01 and 6.98, respectively. We have considered Metalpha Technology'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.
Market Value
0.96
1.14
Expected Value
6.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Metalpha Technology etf data series using in forecasting. Note that when a statistical model is used to represent Metalpha Technology 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 Criteria78.5714
BiasArithmetic mean of the errors 0.0167
MADMean absolute deviation0.0696
MAPEMean absolute percentage error0.0643
SAESum of the absolute errors2.9215
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Metalpha Technology 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Metalpha Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Metalpha Technology. 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 Metalpha Technology'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.
Hype
Prediction
LowEstimatedHigh
0.050.966.75
Details
Intrinsic
Valuation
LowRealHigh
0.050.916.70
Details

Other Forecasting Options for Metalpha Technology

For every potential investor in Metalpha, whether a beginner or expert, Metalpha Technology's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Metalpha Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Metalpha. Basic forecasting techniques help filter out the noise by identifying Metalpha Technology's price trends.

Metalpha Technology 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 Metalpha Technology etf to make a market-neutral strategy. Peer analysis of Metalpha Technology could also be used in its relative valuation, which is a method of valuing Metalpha Technology by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Metalpha Technology 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 Metalpha Technology's 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 Metalpha Technology's current price.

Metalpha Technology Market Strength Events

Market strength indicators help investors to evaluate how Metalpha Technology etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Metalpha Technology shares will generate the highest return on investment. By undertsting and applying Metalpha Technology etf market strength indicators, traders can identify Metalpha Technology Holding entry and exit signals to maximize returns.

Metalpha Technology Risk Indicators

The analysis of Metalpha Technology'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 Metalpha Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting metalpha 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Metalpha Etf

Metalpha Technology financial ratios help investors to determine whether Metalpha Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Metalpha with respect to the benefits of owning Metalpha Technology security.