floatArray = array.from(1.00, 1.50, 1.25, 1.00, 0.75, 1.25, 1.75, 1.25) countMap = floatArray.count() // Alternatively: countMap = c.count(floatArray) The "count map" will return a map with keys for ...
indicator("Volume - Updated By NItha",shorttitle = 'Volume NItha', overlay=true, max_boxes_count=500, max_bars_back = 1000) t1 = 'Choose the data that will be analyzed and displayed in the bar' t2 = ...
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