Home Depot Stock Forecast - Double Exponential Smoothing
| 0R1G Stock | USD 178.57 2.25 1.28% |
The Double Exponential Smoothing forecasted value of Home Depot on the next trading day is expected to be 178.57 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.25. Home Stock Forecast is based on your current time horizon.
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Home Depot Double Exponential Smoothing Price Forecast For the 29th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Home Depot on the next trading day is expected to be 178.57 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.08, and the sum of the absolute errors of 2.25.Please note that although there have been many attempts to predict Home 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 Home Depot's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Home Depot Stock Forecast Pattern
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Home Depot Forecasted Value
In the context of forecasting Home Depot'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. Home Depot's downside and upside margins for the forecasting period are 178.41 and 178.73, respectively. We have considered Home Depot'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.
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 Home Depot stock data series using in forecasting. Note that when a statistical model is used to represent Home Depot 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.0375 |
| MAD | Mean absolute deviation | 0.0375 |
| MAPE | Mean absolute percentage error | 2.0E-4 |
| SAE | Sum of the absolute errors | 2.25 |
Predictive Modules for Home Depot
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Home Depot. 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.Other Forecasting Options for Home Depot
For every potential investor in Home, whether a beginner or expert, Home Depot's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Home Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Home. Basic forecasting techniques help filter out the noise by identifying Home Depot's price trends.Home Depot 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 Home Depot stock to make a market-neutral strategy. Peer analysis of Home Depot could also be used in its relative valuation, which is a method of valuing Home Depot by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Home Depot 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 Home Depot'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 Home Depot's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Home Depot Market Strength Events
Market strength indicators help investors to evaluate how Home Depot stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Home Depot shares will generate the highest return on investment. By undertsting and applying Home Depot stock market strength indicators, traders can identify Home Depot entry and exit signals to maximize returns.
Home Depot Risk Indicators
The analysis of Home Depot'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 Home Depot's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting home 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.
| Mean Deviation | 0.0381 | |||
| Standard Deviation | 0.157 | |||
| Variance | 0.0246 |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Home Depot to cross-verify your projections. For more information on how to buy Home Stock please use our How to buy in Home Stock guide.You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.