Macquarie ETF Etf Forecast - Simple Moving Average
| PWER Etf | 38.30 0.11 0.29% |
The Simple Moving Average forecasted value of Macquarie ETF Trust on the next trading day is expected to be 38.30 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 22.83. Macquarie Etf Forecast is based on your current time horizon.
As of today the relative strength momentum indicator of Macquarie ETF's share price is below 20 indicating that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Macquarie ETF hype-based prediction, you can estimate the value of Macquarie ETF Trust from the perspective of Macquarie ETF response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Macquarie ETF Trust on the next trading day is expected to be 38.30 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 22.83. Macquarie ETF after-hype prediction price | USD 38.23 |
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.
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Macquarie ETF Additional Predictive Modules
Most predictive techniques to examine Macquarie price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Macquarie using various technical indicators. When you analyze Macquarie 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.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Macquarie ETF Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Macquarie ETF Trust on the next trading day is expected to be 38.30 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.23, and the sum of the absolute errors of 22.83.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 37.08 and 39.52, 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 Simple Moving Average 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 | 112.9552 |
| Bias | Arithmetic mean of the errors | -0.1366 |
| MAD | Mean absolute deviation | 0.3869 |
| MAPE | Mean absolute percentage error | 0.0112 |
| SAE | Sum of the absolute errors | 22.828 |
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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Macquarie ETF'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.
Macquarie ETF After-Hype Price Prediction Density Analysis
As far as predicting the price of Macquarie ETF at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Macquarie ETF or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of Macquarie ETF, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Macquarie ETF Estimiated After-Hype Price Volatility
In the context of predicting Macquarie ETF's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Macquarie ETF's historical news coverage. Macquarie ETF's after-hype downside and upside margins for the prediction period are 37.00 and 39.46, respectively. We have considered Macquarie ETF's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Macquarie ETF is very steady at this time. Analysis and calculation of next after-hype price of Macquarie ETF Trust is based on 3 months time horizon.
Macquarie ETF Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as Macquarie ETF is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Macquarie ETF backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Macquarie ETF, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.26 | 1.22 | 0.07 | 0.02 | 2 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
38.30 | 38.23 | 0.18 |
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Macquarie ETF Hype Timeline
Macquarie ETF Trust is at this time traded for 38.30. The entity has historical hype elasticity of -0.07, and average elasticity to hype of competition of 0.02. Macquarie is forecasted to decline in value after the next headline, with the price expected to drop to 38.23. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.18%, whereas the daily expected return is at this time at 0.26%. The volatility of related hype on Macquarie ETF is about 1936.51%, with the expected price after the next announcement by competition of 38.32. The company had not issued any dividends in recent years. Macquarie ETF Trust had 2:1 split on the September 12, 2000. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Macquarie ETF to cross-verify your projections.Macquarie ETF Related Hype Analysis
Having access to credible news sources related to Macquarie ETF's direct competition is more important than ever and may enhance your ability to predict Macquarie ETF's future price movements. Getting to know how Macquarie ETF's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Macquarie ETF may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EZJ | ProShares Ultra MSCI | (0.39) | 2 per month | 1.78 | 0.05 | 3.85 | (3.28) | 9.12 | |
| BRAZ | Global X Funds | 0.20 | 1 per month | 1.47 | 0.16 | 2.53 | (1.96) | 9.07 | |
| MAPP | Harbor ETF Trust | 0.13 | 1 per month | 0.42 | (0.07) | 0.88 | (0.82) | 2.32 | |
| SCDS | JPMorgan Fundamental Data | 0.00 | 0 per month | 0.82 | 0.07 | 1.77 | (1.53) | 4.32 | |
| DIVG | Invesco Exchange Traded | 0.14 | 1 per month | 0.58 | (0.04) | 1.45 | (1.19) | 3.19 | |
| UGE | ProShares Ultra Consumer | 0.41 | 1 per month | 1.23 | (0) | 2.53 | (2.05) | 5.63 | |
| BNKD | Bank of Montreal | 0.00 | 0 per month | 0.00 | (0.22) | 5.37 | (5.92) | 15.45 | |
| RITA | ETF Series Solutions | (0.23) | 4 per month | 0.74 | (0.13) | 0.92 | (1.26) | 3.21 | |
| ESIX | SPDR SP SmallCap | 0.37 | 1 per month | 0.71 | 0.04 | 1.93 | (1.50) | 4.65 | |
| RFEU | First Trust RiverFront | 0.00 | 0 per month | 0.31 | (0) | 0.94 | (0.86) | 2.44 |
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 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.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 38.3 | |||
| Day Typical Price | 38.3 | |||
| Price Action Indicator | (0.06) | |||
| Period Momentum Indicator | (0.11) |
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 | 0.9776 | |||
| Semi Deviation | 0.9737 | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.58 | |||
| Downside Variance | 1.69 | |||
| Semi Variance | 0.9481 | |||
| Expected Short fall | (1.04) |
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.
Story Coverage note for Macquarie ETF
The number of cover stories for Macquarie ETF depends on current market conditions and Macquarie ETF's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Macquarie ETF is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Macquarie ETF's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Macquarie ETF to cross-verify your projections. You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
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.