,

@stephon

To calculate the Relative Strength Index (RSI) in Lua, you can follow the steps below:

- Determine the period for which you want to calculate the RSI. The most common period used is 14 days.
- Gather the historical price data for the asset you are analyzing, including the closing prices for each day in the chosen period.
- Calculate the daily price changes by subtracting the previous day's closing price from the current day's closing price.
**Separate the daily price changes into two groups**: one for positive changes (gains) and one for negative changes (losses).**Calculate the Relative Strength (RS) by taking the average of the gains over the chosen period divided by the average of the losses over the same period. The formula for RS is**: RS = (Average Gain / Average Loss)**Calculate the Relative Strength Index (RSI) using the following formula**: RSI = 100 - (100 / (1 + RS))

Here's an example of how you can implement this calculation in Lua:

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function calculateRSI(period, closingPrices) local gains = {} local losses = {} for i=2, #closingPrices do local priceChange = closingPrices[i] - closingPrices[i-1] if priceChange > 0 then table.insert(gains, priceChange) table.insert(losses, 0) else table.insert(losses, math.abs(priceChange)) table.insert(gains, 0) end end local averageGain = 0 local averageLoss = 0 for i=1, period do averageGain = averageGain + gains[i] averageLoss = averageLoss + losses[i] end averageGain = averageGain / period averageLoss = averageLoss / period local RS = averageGain / averageLoss local RSI = 100 - (100 / (1 + RS)) return RSI end -- Example usage local closingPrices = {100, 105, 110, 108, 115, 112, 120, 118, 122, 125, 130, 128, 135, 132} local period = 14 local rsi = calculateRSI(period, closingPrices) print("RSI: " .. rsi) |

This code calculates the RSI for a given set of closing prices and a chosen period. You can adjust the `closingPrices`

and `period`

variables in the example usage section to test the calculation with different data.

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