How to calculate RSI in Swift
RSI helps traders identify overbought/oversold conditions and potential trend reversals, providing valuable information for making buy/sell decisions.
To calculate the relative strength index (RSI) based on chart data in Swift, you would need to follow these steps:
- Obtain the historical data for the security you are analyzing. This data should include the closing prices for each period (e.g. daily, weekly, etc.).
- Calculate the difference between the current closing price and the previous closing price for each period.
- Calculate the average gain and average loss for the last 14 periods. To do this, sum up the gains and losses from the previous step, and divide by 14.
- Calculate the relative strength (RS) by dividing the average gain by the average loss.
- Calculate the RSI by applying the formula: RSI = 100 - (100 / (1 + RS))
- Finally, you can plot the RSI on a chart to visualize the data.
The code can be something like this:
func calculateRSI(closingPrices: [Double]) -> [Double] {
var gains: [Double] = []
var losses: [Double] = []
var RSIs: [Double] = []
for i in 1..<closingPrices.count {
let change = closingPrices[i] - closingPrices[i-1]
if change > 0 {
gains.append(change)
losses.append(0)
} else {
gains.append(0)
losses.append(-change)
}
}
for i in 14..<closingPrices.count {
let avgGain = gains[(i-14)..<i].reduce(0, +) / 14
let avgLoss = losses[(i-14)..<i].reduce(0, +) / 14
let RS = avgGain / avgLoss
let RSI = 100 - (100 / (1 + RS))
RSIs.append(RSI)
}
return RSIs
}
Please note this is a sample code and it could be different based on your data structure and the way you handle it but it should give you a good idea on how to start.