Thanks for an interesting article. What would easy language code look like to sum the amount of time that the RSI spends above 80 and below 20, and take the difference?

I was curious to know which period (2…14) in the first table produced the $82,812? Ditto for both columns (30/70 and 20/80) in the second table for the Emini?

Cheers
Bard

N1 = 2… 14
N2 = 55

r = rsi(src, N1)

// Normalize extreme levels
OB = r > 69 ? 1 : 0
OS = r < 31 ? 1 : 0

// Average gain, average loss
avgU = (avgU[1] * (N2 – 1) + OB) / N2
avgD = (avgD[1] * (N2 – 1) + OS) / N2

// RSI calculation of the trend
rTrend = (100 – 100 / (1 + avgU / avgD)) / 100

The result shows when the normal RSI of period N2 is spending most of its time near extreme levels. This helped, for example, filter out short trades when the "RSI Trend" was above say, 70. When the RSI Trend is above 70, the vast majority of the time when the normal RSI breached oversold (< 30), there was an immediate snap back up.

Great work, I will research this further on intraday testing in Trading View.