Applied Materials Stock Forecast - 20 Period Moving Average
| AMAT Stock | 33.97 2.28 7.19% |
The 20 Period Moving Average forecasted value of Applied Materials CDR on the next trading day is expected to be 30.41 with a mean absolute deviation of 1.56 and the sum of the absolute errors of 65.38. Applied Stock Forecast is based on your current time horizon. Although Applied Materials' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Applied Materials' systematic risk associated with finding meaningful patterns of Applied Materials fundamentals over time.
As of today the relative strength index (rsi) of Applied Materials' share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Applied Materials hype-based prediction, you can estimate the value of Applied Materials CDR from the perspective of Applied Materials response to recently generated media hype and the effects of current headlines on its competitors.
The 20 Period Moving Average forecasted value of Applied Materials CDR on the next trading day is expected to be 30.41 with a mean absolute deviation of 1.56 and the sum of the absolute errors of 65.38. Applied Materials after-hype prediction price | CAD 33.97 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Applied |
Applied Materials Additional Predictive Modules
Most predictive techniques to examine Applied price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Applied using various technical indicators. When you analyze Applied charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Applied Materials 20 Period Moving Average Price Forecast For the 11th of January 2026
Given 90 days horizon, the 20 Period Moving Average forecasted value of Applied Materials CDR on the next trading day is expected to be 30.41 with a mean absolute deviation of 1.56, mean absolute percentage error of 4.08, and the sum of the absolute errors of 65.38.Please note that although there have been many attempts to predict Applied 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 Applied Materials' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Applied Materials Stock Forecast Pattern
| Backtest Applied Materials | Applied Materials Price Prediction | Buy or Sell Advice |
Applied Materials Forecasted Value
In the context of forecasting Applied Materials' 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. Applied Materials' downside and upside margins for the forecasting period are 27.65 and 33.16, respectively. We have considered Applied Materials' 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Applied Materials stock data series using in forecasting. Note that when a statistical model is used to represent Applied Materials 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 | 84.5971 |
| Bias | Arithmetic mean of the errors | -1.2346 |
| MAD | Mean absolute deviation | 1.5567 |
| MAPE | Mean absolute percentage error | 0.0516 |
| SAE | Sum of the absolute errors | 65.3795 |
Predictive Modules for Applied Materials
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied Materials CDR. 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 Applied Materials
For every potential investor in Applied, whether a beginner or expert, Applied Materials' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Applied Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Applied. Basic forecasting techniques help filter out the noise by identifying Applied Materials' price trends.Applied Materials 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 Applied Materials stock to make a market-neutral strategy. Peer analysis of Applied Materials could also be used in its relative valuation, which is a method of valuing Applied Materials by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Applied Materials CDR 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 Applied Materials' 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 Applied Materials' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Applied Materials Market Strength Events
Market strength indicators help investors to evaluate how Applied Materials stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Applied Materials shares will generate the highest return on investment. By undertsting and applying Applied Materials stock market strength indicators, traders can identify Applied Materials CDR entry and exit signals to maximize returns.
| Accumulation Distribution | 2111.58 | |||
| Daily Balance Of Power | 2.375 | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 33.53 | |||
| Day Typical Price | 33.68 | |||
| Price Action Indicator | 1.58 | |||
| Period Momentum Indicator | 2.28 |
Applied Materials Risk Indicators
The analysis of Applied Materials' 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 Applied Materials' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting applied 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 | 2.28 | |||
| Semi Deviation | 2.55 | |||
| Standard Deviation | 2.88 | |||
| Variance | 8.28 | |||
| Downside Variance | 8.07 | |||
| Semi Variance | 6.5 | |||
| Expected Short fall | (2.51) |
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.
Pair Trading with Applied Materials
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Applied Materials position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Applied Materials will appreciate offsetting losses from the drop in the long position's value.Moving together with Applied Stock
Moving against Applied Stock
| 0.71 | ORAC | Oracle CDR Split | PairCorr |
| 0.67 | QBTC | Bitcoin Fund Unit | PairCorr |
| 0.62 | UBER | Uber CDR Split | PairCorr |
| 0.53 | HD | Home Depot CDR | PairCorr |
The ability to find closely correlated positions to Applied Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied Materials when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Applied Materials - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Applied Materials CDR to buy it.
The correlation of Applied Materials is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Applied Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied Materials CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Applied Materials can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Applied Stock
Applied Materials financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied Materials security.