Macquarie ETF Etf Forecast - Naive Prediction
| STAX Etf | 25.37 0.01 0.04% |
The Naive Prediction forecasted value of Macquarie ETF Trust on the next trading day is expected to be 25.40 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.88. Macquarie Etf Forecast is based on your current time horizon.
Macquarie |
Macquarie ETF Naive Prediction Price Forecast For the 25th of November
Given 90 days horizon, the Naive Prediction forecasted value of Macquarie ETF Trust on the next trading day is expected to be 25.40 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.88.Please note that although there have been many attempts to predict Macquarie 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 Macquarie ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Macquarie ETF Etf Forecast Pattern
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Macquarie ETF Forecasted Value
In the context of forecasting Macquarie 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. Macquarie ETF's downside and upside margins for the forecasting period are 25.31 and 25.49, respectively. We have considered Macquarie 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Macquarie ETF etf data series using in forecasting. Note that when a statistical model is used to represent Macquarie 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 | 110.1908 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0144 |
| MAPE | Mean absolute percentage error | 6.0E-4 |
| SAE | Sum of the absolute errors | 0.8787 |
Predictive Modules for Macquarie 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 Macquarie 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.Other Forecasting Options for Macquarie ETF
For every potential investor in Macquarie, whether a beginner or expert, Macquarie ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Macquarie Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Macquarie. Basic forecasting techniques help filter out the noise by identifying Macquarie ETF's price trends.Macquarie 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 Macquarie ETF etf to make a market-neutral strategy. Peer analysis of Macquarie ETF could also be used in its relative valuation, which is a method of valuing Macquarie ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Macquarie ETF Trust 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 Macquarie ETF'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 Macquarie ETF's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Macquarie ETF Market Strength Events
Market strength indicators help investors to evaluate how Macquarie 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 Macquarie ETF shares will generate the highest return on investment. By undertsting and applying Macquarie ETF etf market strength indicators, traders can identify Macquarie ETF Trust entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 25.37 | |||
| Day Typical Price | 25.37 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 31.93 |
Macquarie ETF Risk Indicators
The analysis of Macquarie 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 Macquarie ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting macquarie 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 | 0.0619 | |||
| Standard Deviation | 0.0922 | |||
| Variance | 0.0085 | |||
| Downside Variance | 0.0138 | |||
| Semi Variance | (0) | |||
| Expected Short fall | (0.08) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Macquarie ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Macquarie ETF's 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 Macquarie Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Macquarie Etf Trust Etf:Check out Historical Fundamental Analysis of Macquarie ETF to cross-verify your projections. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
The market value of Macquarie ETF Trust is measured differently than its book value, which is the value of Macquarie that is recorded on the company's balance sheet. Investors also form their own opinion of Macquarie ETF's value that differs from its market value or its book value, called intrinsic value, which is Macquarie 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 Macquarie ETF's market value can be influenced by many factors that don't directly affect Macquarie 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 Macquarie ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Macquarie ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Macquarie 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.