Algo Lines
The primary objective of this indicator is to identify and draw significant trendlines based on pivot points. These trendlines can help traders make informed decisions by providing a visual representation of support and resistance levels in the market.The script consists of several input parameters, functions, and variables that work together to create dynamic trendlines based on pivot points. The input parameters allow users to customize the appearance and behavior of the indicator, including the colors of the trendlines, the timeframe, and the maximum number of crossed lines to display.
The core of the script is built around two main functions:
1. createLine(): This function is responsible for creating a new trendline based on the provided pivot points. It takes five arguments - pivot type, x1, y1, x2, and y2 coordinates - and returns a new line object. Depending on the pivot type, the function adds the new line to either the dtlArray (down trendline array) or utlArray (up trendline array).
2. getSlope(): This function calculates the slope of a given line and returns the extended price level based on the current bar index. It takes one argument - the line object - and uses its coordinates to compute the slope.
The script also employs several variables to store and manipulate pivot points and trendlines. These include arrays for up and down trendlines (dtlArray and utlArray), variables for storing pivot point coordinates (utlX1, utlY1, etc.), and temporary arrays for storing crossed trendlines (tempUtl and tempDtl).
Creating Trendlines
The Algo Lines script identifies pivot highs and pivot lows using the ta.pivothigh() and ta.pivotlow() functions. When a new pivot low is detected, the script updates the utlX1 and utlY1 variables with the previous pivot low coordinates, and the utlX2 and utlY2 variables with the current pivot low coordinates. If the rate of change between these points meets the minimum threshold specified by the user, the createLine() function is called to create a new up trendline.
Similarly, when a new pivot high is detected, the script updates the dtlX1 and dtlY1 variables with the previous pivot high coordinates, and the dtlX2 and dtlY2 variables with the current pivot high coordinates. If the rate of change between these points meets the minimum threshold specified by the user, the createLine() function is called to create a new down trendline.
Processing Trendlines
The Algo Lines script processes up and down trendlines separately. For each trendline in the utlArray, the script checks if the price has crossed the trendline based on the user's chosen cross source (either close or high/low). If the price crosses a trendline, the script creates a new dashed line with the pastColor and adds it to the temporary array (tempUtl). The original trendline is then deleted.
The same process is applied to the dtlArray, except that the temporary array used is tempDtl. In both cases, if the number of crossed lines exceeds the maximum specified by the user, the oldest crossed line is removed from the temporary array.
Conclusion
The Algo Lines indicator offers traders a powerful tool for identifying significant trendlines based on pivot points. By providing a customizable and dynamic visual representation of support and resistance levels, the script enables traders to make better-informed decisions in the market. The concise and well-structured Pine Script code adheres to TradingView's house rules and ensures a seamless integration with the platform.
The core of the script is built around two main functions:
1. createLine(): This function is responsible for creating a new trendline based on the provided pivot points. It takes five arguments - pivot type, x1, y1, x2, and y2 coordinates - and returns a new line object. Depending on the pivot type, the function adds the new line to either the dtlArray (down trendline array) or utlArray (up trendline array).
2. getSlope(): This function calculates the slope of a given line and returns the extended price level based on the current bar index. It takes one argument - the line object - and uses its coordinates to compute the slope.
The script also employs several variables to store and manipulate pivot points and trendlines. These include arrays for up and down trendlines (dtlArray and utlArray), variables for storing pivot point coordinates (utlX1, utlY1, etc.), and temporary arrays for storing crossed trendlines (tempUtl and tempDtl).
Creating Trendlines
The Algo Lines script identifies pivot highs and pivot lows using the ta.pivothigh() and ta.pivotlow() functions. When a new pivot low is detected, the script updates the utlX1 and utlY1 variables with the previous pivot low coordinates, and the utlX2 and utlY2 variables with the current pivot low coordinates. If the rate of change between these points meets the minimum threshold specified by the user, the createLine() function is called to create a new up trendline.
Similarly, when a new pivot high is detected, the script updates the dtlX1 and dtlY1 variables with the previous pivot high coordinates, and the dtlX2 and dtlY2 variables with the current pivot high coordinates. If the rate of change between these points meets the minimum threshold specified by the user, the createLine() function is called to create a new down trendline.
Processing Trendlines
The Algo Lines script processes up and down trendlines separately. For each trendline in the utlArray, the script checks if the price has crossed the trendline based on the user's chosen cross source (either close or high/low). If the price crosses a trendline, the script creates a new dashed line with the pastColor and adds it to the temporary array (tempUtl). The original trendline is then deleted.
The same process is applied to the dtlArray, except that the temporary array used is tempDtl. In both cases, if the number of crossed lines exceeds the maximum specified by the user, the oldest crossed line is removed from the temporary array.
Conclusion
The Algo Lines indicator offers traders a powerful tool for identifying significant trendlines based on pivot points. By providing a customizable and dynamic visual representation of support and resistance levels, the script enables traders to make better-informed decisions in the market. The concise and well-structured Pine Script code adheres to TradingView's house rules and ensures a seamless integration with the platform.