Intel Stock Forecast - Double Exponential Smoothing

INL Stock  EUR 22.53  1.01  4.29%   
The Double Exponential Smoothing forecasted value of Intel on the next trading day is expected to be 22.59 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 28.72. Intel Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Intel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Intel works best with periods where there are trends or seasonality.

Intel Double Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Intel on the next trading day is expected to be 22.59 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.38, and the sum of the absolute errors of 28.72.
Please note that although there have been many attempts to predict Intel Stock 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 Intel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Intel Stock Forecast Pattern

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Intel Forecasted Value

In the context of forecasting Intel's Stock 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. Intel's downside and upside margins for the forecasting period are 19.58 and 25.61, respectively. We have considered Intel'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
22.53
22.59
Expected Value
25.61
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Intel stock data series using in forecasting. Note that when a statistical model is used to represent Intel stock, 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 -0.0766
MADMean absolute deviation0.4868
MAPEMean absolute percentage error0.0233
SAESum of the absolute errors28.7193
When Intel 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 Intel trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Intel observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Intel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intel. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
19.5122.5325.55
Details
Intrinsic
Valuation
LowRealHigh
18.6221.6424.66
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.3521.8324.32
Details

Other Forecasting Options for Intel

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

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

Intel Technical and Predictive Analytics

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

Intel Market Strength Events

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

Intel Risk Indicators

The analysis of Intel'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 Intel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intel stock 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.

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Intel Stock

When determining whether Intel offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Intel's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Intel Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Intel Stock:
Check out Historical Fundamental Analysis of Intel to cross-verify your projections.
For more detail on how to invest in Intel Stock please use our How to Invest in Intel guide.
You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Please note, there is a significant difference between Intel's value and its price as these two are different measures arrived at by different means. Investors typically determine if Intel is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Intel'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.