Applied Materials CDR Stock Statistic Functions Linear Regression
| AMAT Stock | 37.89 -3.36 -8.15% |
| Symbol |
This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression model generates relationship between price series of Applied Materials CDR and its peer or benchmark and helps predict Applied Materials future price from its past values.
Applied Materials Technical Analysis Modules
Applied Materials technical signals are derived from historical patterns that have statistical relevance for anticipating short-to-medium term price behavior. The reliability of technical signals for Applied depends on sample depth and market microstructure conditions.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Methodology, Assumptions & Data Sources
Applied Materials's Statistic Functions history is laid out in the chart below. Comparing against peers in the same sector adds useful context.
Inputs for Applied Materials CDR come from periodic company reporting and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.