Listed Funds Etf Forecast - 4 Period Moving Average

NVIR Etf   32.74  0.13  0.40%   
The 4 Period Moving Average forecasted value of Listed Funds Trust on the next trading day is expected to be 32.69 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 24.21. Listed Etf Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Listed Funds Trust is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Listed Funds 4 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Listed Funds Trust on the next trading day is expected to be 32.69 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.29, and the sum of the absolute errors of 24.21.
Please note that although there have been many attempts to predict Listed 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 Listed Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Listed Funds Etf Forecast Pattern

Backtest Listed FundsListed Funds Price PredictionBuy or Sell Advice 

Listed Funds Forecasted Value

In the context of forecasting Listed Funds' 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. Listed Funds' downside and upside margins for the forecasting period are 31.48 and 33.90, respectively. We have considered Listed Funds' 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
32.74
32.69
Expected Value
33.90
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Listed Funds etf data series using in forecasting. Note that when a statistical model is used to represent Listed Funds 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 Criteria111.3749
BiasArithmetic mean of the errors -0.2107
MADMean absolute deviation0.4173
MAPEMean absolute percentage error0.0137
SAESum of the absolute errors24.205
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Listed Funds. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Listed Funds Trust and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Listed Funds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Listed Funds 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.
Hype
Prediction
LowEstimatedHigh
31.5032.7033.90
Details
Intrinsic
Valuation
LowRealHigh
30.9732.1733.37
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.4032.3633.31
Details

Other Forecasting Options for Listed Funds

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

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

Listed Funds 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 Listed Funds' 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 Listed Funds' current price.

Listed Funds Market Strength Events

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

Listed Funds Risk Indicators

The analysis of Listed Funds' 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 Listed Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting listed 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 Listed Funds

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 Listed Funds 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 Listed Funds will appreciate offsetting losses from the drop in the long position's value.

Moving together with Listed Etf

  0.97XLE Energy Select Sector Sell-off TrendPairCorr
  0.97VDE Vanguard Energy IndexPairCorr
  0.91XOP SPDR SP OilPairCorr
  0.73OIH VanEck Oil ServicesPairCorr
  0.97IYE iShares Energy ETFPairCorr
The ability to find closely correlated positions to Listed Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Listed Funds 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 Listed Funds - 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 Listed Funds Trust to buy it.
The correlation of Listed Funds 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 Listed Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Listed Funds Trust 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 Listed Funds 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 Listed Funds Trust is a strong investment it is important to analyze Listed Funds' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Listed Funds' future performance. For an informed investment choice regarding Listed Etf, refer to the following important reports:
Check out Historical Fundamental Analysis of Listed Funds to cross-verify your projections.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
The market value of Listed Funds Trust is measured differently than its book value, which is the value of Listed that is recorded on the company's balance sheet. Investors also form their own opinion of Listed Funds' value that differs from its market value or its book value, called intrinsic value, which is Listed Funds' 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 Listed Funds' market value can be influenced by many factors that don't directly affect Listed Funds' 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 Listed Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Listed Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Listed Funds' 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.