Consumer Discretionary Index Forecast - Naive Prediction

SIXY Index   2,479  25.00  1.02%   
The Naive Prediction forecasted value of Consumer Discretionary Select on the next trading day is expected to be 2,511 with a mean absolute deviation of 28.41 and the sum of the absolute errors of 1,733. Investors can use prediction functions to forecast Consumer Discretionary's index prices and determine the direction of Consumer Discretionary Select's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. At this time the rsi of Consumer Discretionary's share price is below 20 . This usually implies that the index 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
The successful prediction of Consumer Discretionary's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Consumer Discretionary Select, which may create opportunities for some arbitrage if properly timed.
Using Consumer Discretionary hype-based prediction, you can estimate the value of Consumer Discretionary Select from the perspective of Consumer Discretionary response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Consumer Discretionary Select on the next trading day is expected to be 2,511 with a mean absolute deviation of 28.41 and the sum of the absolute errors of 1,733.

Consumer Discretionary after-hype prediction price

    
  USD 2479.43  
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 index price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in employment.

Consumer Discretionary Additional Predictive Modules

Most predictive techniques to examine Consumer price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Consumer using various technical indicators. When you analyze Consumer 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.
A naive forecasting model for Consumer Discretionary is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Consumer Discretionary Select 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.

Consumer Discretionary Naive Prediction Price Forecast For the 25th of January

Given 90 days horizon, the Naive Prediction forecasted value of Consumer Discretionary Select on the next trading day is expected to be 2,511 with a mean absolute deviation of 28.41, mean absolute percentage error of 1,315, and the sum of the absolute errors of 1,733.
Please note that although there have been many attempts to predict Consumer Index 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 Consumer Discretionary's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Consumer Discretionary Index Forecast Pattern

Consumer Discretionary Forecasted Value

In the context of forecasting Consumer Discretionary's Index 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. Consumer Discretionary's downside and upside margins for the forecasting period are 2,510 and 2,512, respectively. We have considered Consumer Discretionary'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
2,479
2,511
Expected Value
2,512
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 Consumer Discretionary index data series using in forecasting. Note that when a statistical model is used to represent Consumer Discretionary index, 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 Criteria125.2923
BiasArithmetic mean of the errors None
MADMean absolute deviation28.4051
MAPEMean absolute percentage error0.0119
SAESum of the absolute errors1732.7089
This model is not at all useful as a medium-long range forecasting tool of Consumer Discretionary Select. 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 Consumer Discretionary. 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 Consumer Discretionary

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Consumer Discretionary. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.

Consumer Discretionary Estimiated After-Hype Price Prediction Volatility

As far as predicting the price of Consumer Discretionary 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 Consumer Discretionary 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 Index prices, such as prices of Consumer Discretionary, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Consumer Discretionary Index Price Prediction Analysis

Have you ever been surprised when a price of a Index such as Consumer Discretionary is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Consumer Discretionary 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 Index 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 Consumer Discretionary, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.04 
1.19
 0.00  
 0.00  
0 Events / Month
2 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
2,479
2,479
0.00 
0.00  
Notes

Consumer Discretionary Hype Timeline

Consumer Discretionary is at this time traded for 2,479. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Consumer is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.04%. %. The volatility of related hype on Consumer Discretionary is about 4139.13%, with the expected price after the next announcement by competition of 2,479. Assuming the 90 days trading horizon the next anticipated press release will be within a week.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in employment.

Consumer Discretionary Related Hype Analysis

Having access to credible news sources related to Consumer Discretionary's direct competition is more important than ever and may enhance your ability to predict Consumer Discretionary's future price movements. Getting to know how Consumer Discretionary'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 Consumer Discretionary may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Consumer Discretionary

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

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

Consumer Discretionary Market Strength Events

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

Consumer Discretionary Risk Indicators

The analysis of Consumer Discretionary'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 Consumer Discretionary's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting consumer index 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.

Story Coverage note for Consumer Discretionary

The number of cover stories for Consumer Discretionary depends on current market conditions and Consumer Discretionary's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Consumer Discretionary 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 Consumer Discretionary's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios