Amazon Stock Forecast - Triple Exponential Smoothing

AMZ Stock  EUR 195.40  1.60  0.81%   
The Triple Exponential Smoothing forecasted value of Amazon Inc on the next trading day is expected to be 195.81 with a mean absolute deviation of 2.46 and the sum of the absolute errors of 145.08. Amazon Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Amazon - 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 Amazon 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 Amazon price movement. However, neither of these exponential smoothing models address any seasonality of Amazon Inc.

Amazon Triple Exponential Smoothing Price Forecast For the 2nd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Amazon Inc on the next trading day is expected to be 195.81 with a mean absolute deviation of 2.46, mean absolute percentage error of 10.27, and the sum of the absolute errors of 145.08.
Please note that although there have been many attempts to predict Amazon 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 Amazon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Amazon Stock Forecast Pattern

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Amazon Forecasted Value

In the context of forecasting Amazon'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. Amazon's downside and upside margins for the forecasting period are 194.16 and 197.47, respectively. We have considered Amazon'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
195.40
194.16
Downside
195.81
Expected Value
197.47
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 Amazon stock data series using in forecasting. Note that when a statistical model is used to represent Amazon 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 0.4364
MADMean absolute deviation2.4589
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors145.0764
As with simple exponential smoothing, in triple exponential smoothing models past Amazon 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 Amazon Inc observations.

Predictive Modules for Amazon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amazon Inc. 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
193.73195.40197.07
Details
Intrinsic
Valuation
LowRealHigh
175.86221.11222.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
187.09192.69198.30
Details

Other Forecasting Options for Amazon

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

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

Amazon Inc 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 Amazon'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 Amazon's current price.

Amazon Market Strength Events

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

Amazon Risk Indicators

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

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Additional Information and Resources on Investing in Amazon Stock

When determining whether Amazon Inc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Amazon'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 Amazon Inc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Amazon Inc Stock:
Check out Historical Fundamental Analysis of Amazon to cross-verify your projections.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Please note, there is a significant difference between Amazon's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amazon is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amazon'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.