MicroSectors FANG Etf Forecast - Naive Prediction

FNGO Etf  USD 70.46  4.40  5.88%   
The Naive Prediction forecasted value of MicroSectors FANG Index on the next trading day is expected to be 70.40 with a mean absolute deviation of 2.58 and the sum of the absolute errors of 157.24. MicroSectors Etf Forecast is based on your current time horizon.
  
A naive forecasting model for MicroSectors FANG is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of MicroSectors FANG Index value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

MicroSectors FANG Naive Prediction Price Forecast For the 14th of March 2025

Given 90 days horizon, the Naive Prediction forecasted value of MicroSectors FANG Index on the next trading day is expected to be 70.40 with a mean absolute deviation of 2.58, mean absolute percentage error of 9.59, and the sum of the absolute errors of 157.24.
Please note that although there have been many attempts to predict MicroSectors 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 MicroSectors FANG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MicroSectors FANG Etf Forecast Pattern

Backtest MicroSectors FANGMicroSectors FANG Price PredictionBuy or Sell Advice 

MicroSectors FANG Forecasted Value

In the context of forecasting MicroSectors FANG'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. MicroSectors FANG's downside and upside margins for the forecasting period are 66.66 and 74.13, respectively. We have considered MicroSectors FANG'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
70.46
70.40
Expected Value
74.13
Upside

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 MicroSectors FANG etf data series using in forecasting. Note that when a statistical model is used to represent MicroSectors FANG 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 Criteria120.3714
BiasArithmetic mean of the errors None
MADMean absolute deviation2.5777
MAPEMean absolute percentage error0.0276
SAESum of the absolute errors157.2408
This model is not at all useful as a medium-long range forecasting tool of MicroSectors FANG Index. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict MicroSectors FANG. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for MicroSectors FANG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MicroSectors FANG Index. 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
72.8376.6080.37
Details
Intrinsic
Valuation
LowRealHigh
70.7274.4978.26
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as MicroSectors FANG. Your research has to be compared to or analyzed against MicroSectors FANG's peers to derive any actionable benefits. When done correctly, MicroSectors FANG's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in MicroSectors FANG Index.

Other Forecasting Options for MicroSectors FANG

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

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

MicroSectors FANG Index 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 MicroSectors FANG'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 MicroSectors FANG's current price.

MicroSectors FANG Market Strength Events

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

MicroSectors FANG Risk Indicators

The analysis of MicroSectors FANG'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 MicroSectors FANG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting microsectors 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 MicroSectors FANG

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 MicroSectors FANG 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 MicroSectors FANG will appreciate offsetting losses from the drop in the long position's value.

Moving together with MicroSectors Etf

  0.89SSO ProShares Ultra SP500PairCorr
  0.88SPXL Direxion Daily SP500PairCorr
  0.95QLD ProShares Ultra QQQPairCorr
  0.88UPRO ProShares UltraPro SP500PairCorr
  0.85TECL Direxion Daily TechnologyPairCorr

Moving against MicroSectors Etf

  0.96FNGD MicroSectors FANG Index Buyout TrendPairCorr
  0.6SHLD Global X FundsPairCorr
  0.53IDOG ALPS International SectorPairCorr
The ability to find closely correlated positions to MicroSectors FANG could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MicroSectors FANG 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 MicroSectors FANG - 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 MicroSectors FANG Index to buy it.
The correlation of MicroSectors FANG 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 MicroSectors FANG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MicroSectors FANG Index 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 MicroSectors FANG 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

Other Information on Investing in MicroSectors Etf

MicroSectors FANG financial ratios help investors to determine whether MicroSectors 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 MicroSectors with respect to the benefits of owning MicroSectors FANG security.