This tool is designed to provide a visual trend indicator for financial charts. It utilizes a mathematical approach known as the Least Squares Moving Average (LSMA) to help traders identify the underlying direction of price movements more smoothly than standard moving averages.
Core Functionality
The primary goal of this script is to calculate a specific type of "best-fit" line that follows the price action. Unlike basic moving averages, which simply average the prices over a set timeframe, the LSMA uses a linear regression calculation. This means it attempts to find a mathematical line that minimizes the distance between itself and all the data points in the selected period, providing a clearer picture of where the trend is headed.
How It Works
The logic operates based on three main components:
- Timeframe Selection (Period): The user can define a specific lookback window (the "period"). The script looks at this amount of historical data to determine the current trend. A larger period results in a smoother, slower-moving line, while a smaller period makes the line more sensitive to recent price changes.
- Data Processing: The script scans back through the historical closing prices of the asset. It performs a weighted calculation where it factors in the position of each price point relative to the timeframe. By applying this "Least Squares" formula, it filters out minor market noise and focuses on the significant trajectory of the price.
- Visual Output: Once the calculation is complete for every historical bar (up to a user-defined limit), the script draws a continuous red line on the chart. This line acts as a visual guide; when the price is above the line, it suggests an upward trend, and when below, it suggests a downward trend.
Summary for the User
Essentially, this script transforms raw price data into a refined trend line. By using linear regression logic rather than a simple average, it provides a more sophisticated view of market momentum, helping you see the "true" direction of the market while smoothing out theday-to-day fluctuations.
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//| Copyright © 2000-2007, MetaQuotes Software Corp. |
//| http://www.metaquotes.ru |
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// LSMA.mq4
// Least Squares Moving Average
#property link "mandorr@gmail.com"
#property indicator_chart_window
#property indicator_buffers 1
#property indicator_color1 Red
extern int period=50;
extern int CountBars=10000; // Êîëè÷åñòâî îòîáðàæàåìûõ áàðîâ
double buffer[];
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//| |
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void init()
{
SetIndexStyle(0,DRAW_LINE,0,2);
SetIndexBuffer(0,buffer);
SetIndexLabel(0,"Value");
SetIndexDrawBegin(0,0);
}
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//| |
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void start()
{
for(int i=0; i<=CountBars-1; i++)
{
buffer[i]=LSMA(period,i);
}
}
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double LSMA(int ma_period,int shift)
{
double lengthvar;
double tmp;
double sum=0;
for(int i=ma_period; i>=1; i--)
{
lengthvar=(ma_period+1)/3;
tmp=(i-lengthvar)*Close[ma_period-i+shift];
sum+=tmp;
}
double value=sum*6/(ma_period*(ma_period+1));
return(value);
}
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