Invesco Total Etf Forecast - 20 Period Moving Average

GTO Etf  USD 47.29  0.12  0.25%   
The 20 Period Moving Average forecasted value of Invesco Total Return on the next trading day is expected to be 47.07 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 14.13. Invesco Etf Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Invesco Total Return is based on a synthetically constructed Invesco Totaldaily 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.

Invesco Total 20 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Invesco Total Return on the next trading day is expected to be 47.07 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.15, and the sum of the absolute errors of 14.13.
Please note that although there have been many attempts to predict Invesco 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 Invesco Total's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Invesco Total Etf Forecast Pattern

Backtest Invesco TotalInvesco Total Price PredictionBuy or Sell Advice 

Invesco Total Forecasted Value

In the context of forecasting Invesco Total'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. Invesco Total's downside and upside margins for the forecasting period are 46.80 and 47.35, respectively. We have considered Invesco Total'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
47.29
47.07
Expected Value
47.35
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 Invesco Total etf data series using in forecasting. Note that when a statistical model is used to represent Invesco Total 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 Criteria79.4786
BiasArithmetic mean of the errors 0.0965
MADMean absolute deviation0.3445
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors14.1255
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. Invesco Total Return 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Invesco Total

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Invesco Total Return. 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 Invesco Total'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
47.1347.4047.67
Details
Intrinsic
Valuation
LowRealHigh
42.6651.6751.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
47.3747.4247.48
Details

Other Forecasting Options for Invesco Total

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

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

Invesco Total Return 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 Invesco Total'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 Invesco Total's current price.

Invesco Total Market Strength Events

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

Invesco Total Risk Indicators

The analysis of Invesco Total'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 Invesco Total's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting invesco 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.

Pair Trading with Invesco Total

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Invesco Total position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Invesco Total will appreciate offsetting losses from the drop in the long position's value.

Moving together with Invesco Etf

  1.0IUSB iShares Core TotalPairCorr
  0.99FIXD First Trust TCWPairCorr
  1.0FBND Fidelity Total Bond Sell-off TrendPairCorr
  0.99TOTL SPDR DoubleLine TotalPairCorr
  0.99HTRB Hartford Total ReturnPairCorr

Moving against Invesco Etf

  0.76DSJA DSJAPairCorr
  0.73TSJA TSJAPairCorr
  0.67SIXD AIM ETF ProductsPairCorr
The ability to find closely correlated positions to Invesco Total could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Invesco Total when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Invesco Total - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Invesco Total Return to buy it.
The correlation of Invesco Total is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Invesco Total moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco Total Return moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Invesco Total can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Invesco Total Return offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Invesco Total'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 Invesco Total Return Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Invesco Total Return Etf:
Check out Historical Fundamental Analysis of Invesco Total to cross-verify your projections.
You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
The market value of Invesco Total Return is measured differently than its book value, which is the value of Invesco that is recorded on the company's balance sheet. Investors also form their own opinion of Invesco Total's value that differs from its market value or its book value, called intrinsic value, which is Invesco Total'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 Invesco Total's market value can be influenced by many factors that don't directly affect Invesco Total'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 Invesco Total's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco Total is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Total'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.