Applied Materials (Mexico) Technical Analysis
| AMAT Stock | MXN 5,625 5.00 0.09% |
As of the 24th of January, Applied Materials shows the Risk Adjusted Performance of 0.1332, mean deviation of 1.89, and Downside Deviation of 2.66. Applied Materials technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Applied Materials Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Applied, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AppliedApplied |
Applied Materials 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Applied Materials' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Applied Materials.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Applied Materials on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Applied Materials or generate 0.0% return on investment in Applied Materials over 90 days. Applied Materials is related to or competes with Deutsche Bank, Delta Air, Bank of Nova Scotia, Take Two, and Trade Desk. Applied Materials, Inc. provides manufacturing equipment, services, and software to the semiconductor, display, and rela... More
Applied Materials Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Applied Materials' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Applied Materials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.66 | |||
| Information Ratio | 0.1431 | |||
| Maximum Drawdown | 12.61 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 5.04 |
Applied Materials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Applied Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Applied Materials' standard deviation. In reality, there are many statistical measures that can use Applied Materials historical prices to predict the future Applied Materials' volatility.| Risk Adjusted Performance | 0.1332 | |||
| Jensen Alpha | 0.3932 | |||
| Total Risk Alpha | 0.2031 | |||
| Sortino Ratio | 0.1459 | |||
| Treynor Ratio | 0.4967 |
Applied Materials January 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1332 | |||
| Market Risk Adjusted Performance | 0.5067 | |||
| Mean Deviation | 1.89 | |||
| Semi Deviation | 1.7 | |||
| Downside Deviation | 2.66 | |||
| Coefficient Of Variation | 581.32 | |||
| Standard Deviation | 2.71 | |||
| Variance | 7.34 | |||
| Information Ratio | 0.1431 | |||
| Jensen Alpha | 0.3932 | |||
| Total Risk Alpha | 0.2031 | |||
| Sortino Ratio | 0.1459 | |||
| Treynor Ratio | 0.4967 | |||
| Maximum Drawdown | 12.61 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 5.04 | |||
| Downside Variance | 7.06 | |||
| Semi Variance | 2.89 | |||
| Expected Short fall | (2.64) | |||
| Skewness | 0.7363 | |||
| Kurtosis | 2.2 |
Applied Materials Backtested Returns
Applied Materials appears to be very steady, given 3 months investment horizon. Applied Materials secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18 % return per unit of risk over the last 3 months. By analyzing Applied Materials' technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please makes use of Applied Materials' Downside Deviation of 2.66, risk adjusted performance of 0.1332, and Mean Deviation of 1.89 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Applied Materials holds a performance score of 14. The firm shows a Beta (market volatility) of 0.92, which signifies possible diversification benefits within a given portfolio. Applied Materials returns are very sensitive to returns on the market. As the market goes up or down, Applied Materials is expected to follow. Please check Applied Materials' standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Applied Materials' price patterns will revert.
Auto-correlation | 0.67 |
Good predictability
Applied Materials has good predictability. Overlapping area represents the amount of predictability between Applied Materials time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Applied Materials price movement. The serial correlation of 0.67 indicates that around 67.0% of current Applied Materials price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 192.9 K |
Applied Materials technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Applied Materials Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Applied Materials volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Applied Materials Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Applied Materials on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Applied Materials based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Applied Materials price pattern first instead of the macroeconomic environment surrounding Applied Materials. By analyzing Applied Materials's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Applied Materials's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Applied Materials specific price patterns or momentum indicators. Please read more on our technical analysis page.
Applied Materials January 24, 2026 Technical Indicators
Most technical analysis of Applied help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Applied from various momentum indicators to cycle indicators. When you analyze Applied charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1332 | |||
| Market Risk Adjusted Performance | 0.5067 | |||
| Mean Deviation | 1.89 | |||
| Semi Deviation | 1.7 | |||
| Downside Deviation | 2.66 | |||
| Coefficient Of Variation | 581.32 | |||
| Standard Deviation | 2.71 | |||
| Variance | 7.34 | |||
| Information Ratio | 0.1431 | |||
| Jensen Alpha | 0.3932 | |||
| Total Risk Alpha | 0.2031 | |||
| Sortino Ratio | 0.1459 | |||
| Treynor Ratio | 0.4967 | |||
| Maximum Drawdown | 12.61 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 5.04 | |||
| Downside Variance | 7.06 | |||
| Semi Variance | 2.89 | |||
| Expected Short fall | (2.64) | |||
| Skewness | 0.7363 | |||
| Kurtosis | 2.2 |
Applied Materials January 24, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Applied stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.33 | ||
| Daily Balance Of Power | (0.05) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 5,578 | ||
| Day Typical Price | 5,594 | ||
| Price Action Indicator | 44.00 | ||
| Market Facilitation Index | 4.65 |
Additional Tools for Applied Stock Analysis
When running Applied Materials' price analysis, check to measure Applied Materials' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Applied Materials is operating at the current time. Most of Applied Materials' value examination focuses on studying past and present price action to predict the probability of Applied Materials' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Materials' price. Additionally, you may evaluate how the addition of Applied Materials to your portfolios can decrease your overall portfolio volatility.