How To Calculate Relative Strength Index (RSI) using Go?

by rickey_sauer , in category: Technology , 2 months ago

How To Calculate Relative Strength Index (RSI) using Go?

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1 answer

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by zella , 2 months ago

@rickey_sauer 

To calculate the Relative Strength Index (RSI) using Go, you can create a function that takes in the price data and the period for which you want to calculate the RSI. Here is an example implementation of the RSI calculation in Go:

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package main

import (
	"fmt"
	"math"
)

func calculateRSI(prices []float64, period int) []float64 {
	var gains []float64
	var losses []float64
	var avgGain float64
	var avgLoss float64
	var rs []float64
	var rsi []float64

	for i := 1; i < len(prices); i++ {
		change := prices[i] - prices[i-1]
		if change > 0 {
			gains = append(gains, change)
			losses = append(losses, 0)
		} else {
			gains = append(gains, 0)
			losses = append(losses, -change)
		}

		if i >= period {
			if i == period {
				sumGains := 0.0
				sumLosses := 0.0
				for j := 0; j < period; j++ {
					sumGains += gains[j]
					sumLosses += losses[j]
				}
				avgGain = sumGains / float64(period)
				avgLoss = sumLosses / float64(period)
			} else {
				avgGain = ((avgGain * float64(period-1)) + gains[i]) / float64(period)
				avgLoss = ((avgLoss * float64(period-1)) + losses[i]) / float64(period)
			}

			if avgLoss == 0 {
				rs = append(rs, 100)
			} else {
				rs = append(rs, 100 - (100 / (1 + (avgGain / avgLoss)))
			}

			if i >= period+1 {
				rsi = append(rsi, 100 - (100 / (1 + rs[len(rs)-1]))
			}
		}
	}

	return rsi
}

func main() {
	prices := []float64{50, 55, 60, 57, 65, 70, 75, 80, 85, 90}
	period := 14

	rsi := calculateRSI(prices, period)
	
	for i, value := range rsi {
		fmt.Printf("RSI at day %d: %.2f
", i+period+1, value)
	}
}


In this code, the calculateRSI function takes in the price data as a slice of float64 values and the period for which you want to calculate the RSI. It loops through the price data, calculates the gains and losses, and then calculates the average gain, average loss, and relative strength (RS) values using the provided period.


Finally, the function calculates the RSI values based on the RS values and returns them as a slice of float64 values.


In the main function, you can provide the price data and period, and then call the calculateRSI function to get the RSI values. The RSI values will be printed to the console for each day after the specified period.