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**1. Basic Components of the Linear Regression Channel**
The Linear Regression Channel consists of five parts: the regression line, the upper and lower channel lines, the regression confirmation zone, and the regression forecast zone.
* The **regression line** forms the central axis, created through the linear regression analysis of stock prices.
* The **upper and lower channel lines** indicate the support and resistance levels of the stock price.
* The **confirmation zone** and **forecast zone** are used to determine the start/end distance for analysis and to estimate the future price range, respectively.
**2. How to Draw the Linear Regression Channel**
* Determine two anchor points to define the scope of the time period.
* Within this range, draw a line segment—the regression line—that minimizes the sum of the squared lengths of the perpendicular distances from all price points to the line.
* Draw two lines parallel to the regression line, one passing through the highest price and the other through the lowest price within the selected period, forming the linear regression channel.
* Extend these three parallel lines to the right, typically as dashed lines, to form the complete Linear Regression Channel.
**3. Application Principles of the Linear Regression Channel**
* The length of the regression channel, once determined by the two anchor points, should not be changed arbitrarily. However, when the trend line changes significantly, the channel needs to be redrawn.
* In an **uptrend**:
* When the price breaks above the upper channel line, it is expected to surge and then pull back.
* When the price falls back to the regression line, it is expected to find support and bounce.
* When the price breaks below the regression line, it is a sell signal.
* When the price breaks below the lower channel line, it is a stop-loss signal.
* In a **downtrend**, the application principles are the opposite of those in an uptrend.
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