I am puzzled by how to calculate stochastic. This is the psuedocode I have: stoch_fastK(list): ````{_, _, _, todaysClose} = list.first() ````low = min(list) ````high = max(list) ````((todayClose - low) / (high - low)) * 100 stoch(list, period, d, k): ````smoothK = for 1..k, 0, fun(kIteration, acc) ````````acc + stoch_fastK( sublist(list, kIteration, period) ````smoothK / k stoch(last_20_datapoints_reverse_order, 14, 7, 2) last_20_datapoints_reverse_order, means that the first member is todays close, the next is yesterdays, etc. And my results are different from trading view. I am only looking at the smooth K line. Can anyone help me complete this?
Ah I think I see atleast one mistake. The smooth K is over the period length. So to have a smooth k of 2 I need at least 14x2 datapoints, 20 is not enough? So take the first 14 points calculate fast K, take the next 14 points, calculate fast K. Add both and / 2?