Nasdaq 100 Mutual Fund Forecast - Triple Exponential Smoothing

NDXKX Fund  USD 33.48  0.19  0.56%   
The Triple Exponential Smoothing forecasted value of Nasdaq 100 Index Fund on the next trading day is expected to be 33.47 with a mean absolute deviation of  0.28  and the sum of the absolute errors of 16.56. Nasdaq Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Nasdaq 100 stock prices and determine the direction of Nasdaq 100 Index Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Nasdaq 100's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Nasdaq 100 to cross-verify your projections.
  
Most investors in Nasdaq 100 cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Nasdaq 100's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Nasdaq 100's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Nasdaq 100 - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Nasdaq 100 prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Nasdaq 100 price movement. However, neither of these exponential smoothing models address any seasonality of Nasdaq 100 Index.

Nasdaq 100 Triple Exponential Smoothing Price Forecast For the 19th of April

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Nasdaq 100 Index Fund on the next trading day is expected to be 33.47 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.13, and the sum of the absolute errors of 16.56.
Please note that although there have been many attempts to predict Nasdaq 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 Nasdaq 100's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nasdaq 100 Mutual Fund Forecast Pattern

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Nasdaq 100 Forecasted Value

In the context of forecasting Nasdaq 100'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. Nasdaq 100's downside and upside margins for the forecasting period are 32.46 and 34.48, respectively. We have considered Nasdaq 100'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
33.48
33.47
Expected Value
34.48
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Nasdaq 100 mutual fund data series using in forecasting. Note that when a statistical model is used to represent Nasdaq 100 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0772
MADMean absolute deviation0.2807
MAPEMean absolute percentage error0.0082
SAESum of the absolute errors16.5632
As with simple exponential smoothing, in triple exponential smoothing models past Nasdaq 100 observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Nasdaq 100 Index Fund observations.

Predictive Modules for Nasdaq 100

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nasdaq 100 Index. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nasdaq 100'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
32.4733.4834.49
Details
Intrinsic
Valuation
LowRealHigh
32.6333.6434.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
33.2433.7534.26
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Nasdaq 100. Your research has to be compared to or analyzed against Nasdaq 100's peers to derive any actionable benefits. When done correctly, Nasdaq 100'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 Nasdaq 100 Index.

Other Forecasting Options for Nasdaq 100

For every potential investor in Nasdaq, whether a beginner or expert, Nasdaq 100's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nasdaq Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nasdaq. Basic forecasting techniques help filter out the noise by identifying Nasdaq 100's price trends.

Nasdaq 100 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 Nasdaq 100 mutual fund to make a market-neutral strategy. Peer analysis of Nasdaq 100 could also be used in its relative valuation, which is a method of valuing Nasdaq 100 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Nasdaq 100 Index Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Nasdaq 100'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 Nasdaq 100's current price.

Nasdaq 100 Market Strength Events

Market strength indicators help investors to evaluate how Nasdaq 100 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 Nasdaq 100 shares will generate the highest return on investment. By undertsting and applying Nasdaq 100 mutual fund market strength indicators, traders can identify Nasdaq 100 Index Fund entry and exit signals to maximize returns.

Nasdaq 100 Risk Indicators

The analysis of Nasdaq 100'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 Nasdaq 100's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nasdaq 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.

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Check out Historical Fundamental Analysis of Nasdaq 100 to cross-verify your projections.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Please note, there is a significant difference between Nasdaq 100's value and its price as these two are different measures arrived at by different means. Investors typically determine if Nasdaq 100 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nasdaq 100'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.