Stock Index Mutual Fund Forecast - Naive Prediction

VSTIX Fund  USD 68.74  0.03  0.04%   
The Naive Prediction forecasted value of Stock Index Fund on the next trading day is expected to be 68.57 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 29.13. Stock Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Stock Index's share price is below 20 . This entails that the mutual fund 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 Stock Index's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Stock Index Fund, which may create opportunities for some arbitrage if properly timed.
Using Stock Index hype-based prediction, you can estimate the value of Stock Index Fund from the perspective of Stock Index response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Stock Index Fund on the next trading day is expected to be 68.57 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 29.13.

Stock Index after-hype prediction price

    
  USD 68.74  
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Stock Index to cross-verify your projections.

Stock Index Additional Predictive Modules

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

Stock Index Naive Prediction Price Forecast For the 25th of January

Given 90 days horizon, the Naive Prediction forecasted value of Stock Index Fund on the next trading day is expected to be 68.57 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.38, and the sum of the absolute errors of 29.13.
Please note that although there have been many attempts to predict Stock Mutual Fund 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 Stock Index's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Index Mutual Fund Forecast Pattern

Backtest Stock IndexStock Index Price PredictionBuy or Sell Advice 

Stock Index Forecasted Value

In the context of forecasting Stock Index's Mutual Fund 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. Stock Index's downside and upside margins for the forecasting period are 67.84 and 69.30, respectively. We have considered Stock Index'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
68.74
68.57
Expected Value
69.30
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 Stock Index mutual fund data series using in forecasting. Note that when a statistical model is used to represent Stock Index mutual fund, 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 Criteria118.9777
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4698
MAPEMean absolute percentage error0.007
SAESum of the absolute errors29.1293
This model is not at all useful as a medium-long range forecasting tool of Stock Index Fund. 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 Stock Index. 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 Stock Index

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Stock Index Fund. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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
68.0168.7469.47
Details
Intrinsic
Valuation
LowRealHigh
67.6068.3369.06
Details
Bollinger
Band Projection (param)
LowMiddleHigh
67.1968.3669.52
Details

Stock Index After-Hype Price Prediction Density Analysis

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

Stock Index Estimiated After-Hype Price Volatility

In the context of predicting Stock Index's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Stock Index's historical news coverage. Stock Index's after-hype downside and upside margins for the prediction period are 68.01 and 69.47, respectively. We have considered Stock Index'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
68.74
68.74
After-hype Price
69.47
Upside
Stock Index is very steady at this time. Analysis and calculation of next after-hype price of Stock Index Fund is based on 3 months time horizon.

Stock Index Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Stock Index is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Stock Index 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 Fund 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 Stock Index, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.02 
0.73
 0.00  
 0.00  
0 Events / Month
1 Events / Month
Any time
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
68.74
68.74
0.00 
0.00  
Notes

Stock Index Hype Timeline

Stock Index Fund is at this time traded for 68.74. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Stock is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at 0.02%. %. The volatility of related hype on Stock Index is about 690.54%, with the expected price after the next announcement by competition of 68.74. The company last dividend was issued on the 10th of March 2020. Assuming the 90 days horizon the next forecasted press release will be any time.
Check out Historical Fundamental Analysis of Stock Index to cross-verify your projections.

Stock Index Related Hype Analysis

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

Other Forecasting Options for Stock Index

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

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

Stock Index Market Strength Events

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

Stock Index Risk Indicators

The analysis of Stock Index'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 Stock Index's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting stock mutual fund 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 Stock Index

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

Other Macroaxis Stories

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Other Information on Investing in Stock Mutual Fund

Stock Index financial ratios help investors to determine whether Stock Mutual Fund 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 Stock with respect to the benefits of owning Stock Index security.
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