JD Stock Forecast - Triple Exponential Smoothing

JD Stock  EUR 35.40  0.65  1.80%   
The Triple Exponential Smoothing forecasted value of JD Inc on the next trading day is expected to be 35.03 with a mean absolute deviation of 1.09 and the sum of the absolute errors of 64.56. JD Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of JD's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for JD - 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 JD 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 JD price movement. However, neither of these exponential smoothing models address any seasonality of JD Inc.

JD Triple Exponential Smoothing Price Forecast For the 15th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of JD Inc on the next trading day is expected to be 35.03 with a mean absolute deviation of 1.09, mean absolute percentage error of 1.94, and the sum of the absolute errors of 64.56.
Please note that although there have been many attempts to predict JD 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 JD's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

JD Stock Forecast Pattern

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JD Forecasted Value

In the context of forecasting JD'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. JD's downside and upside margins for the forecasting period are 31.12 and 38.93, respectively. We have considered JD'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
35.40
35.03
Expected Value
38.93
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 JD stock data series using in forecasting. Note that when a statistical model is used to represent JD 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 0.2212
MADMean absolute deviation1.0942
MAPEMean absolute percentage error0.0301
SAESum of the absolute errors64.559
As with simple exponential smoothing, in triple exponential smoothing models past JD 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 JD Inc observations.

Predictive Modules for JD

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JD 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JD'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
31.5035.4039.30
Details
Intrinsic
Valuation
LowRealHigh
25.4629.3638.94
Details

Other Forecasting Options for JD

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

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

JD 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 JD'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 JD's current price.

JD Market Strength Events

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

JD Risk Indicators

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

Other Information on Investing in JD Stock

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