feat: add new indicators (Decay, Edecay, MinusDi, MinusDm, PlusDi, PlusDm, Maxindex, Minindex, Sarext) and update pine scripts, core libs, validation tests, and python bindings
2026-03-09 13:45:46 -07:00
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// Licensed under the Apache License, Version 2.0
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2026-02-18 19:08:15 -08:00
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// © mihakralj
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//@version=6
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indicator("Elastic Volume Weighted Moving Average (EVWMA)", "EVWMA", overlay=true)
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//@function Calculates EVWMA using volume-elastic smoothing with circular buffer
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//@param src Source price series
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//@param vol Volume series
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//@param period Lookback period for rolling volume sum
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//@returns EVWMA value where high-volume bars get more weight (faster response)
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//@optimized O(1) per bar via circular buffer for running volume sum
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evwma(series float src, series float vol, simple int period) =>
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var int p = math.max(1, period), var int head = 0, var int count = 0
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var array<float> vol_buffer = array.new_float(p, 0.0)
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var float sum_vol = 0.0
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var float result = na
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float cur_vol = math.max(nz(vol, 0.0), 0.0)
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float cur_price = nz(src)
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// Remove oldest volume from running sum
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float old_vol = array.get(vol_buffer, head)
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if count >= p
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sum_vol -= old_vol
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else
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count += 1
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// Add current volume to running sum
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sum_vol += cur_vol
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array.set(vol_buffer, head, cur_vol)
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head := (head + 1) % p
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// EVWMA calculation
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if na(result)
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result := cur_price
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else if sum_vol > 0.0
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result := ((sum_vol - cur_vol) * nz(result) + cur_vol * cur_price) / sum_vol
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result
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// ---------- Main loop ----------
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// Inputs
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i_period = input.int(20, "Period", minval=1)
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i_source = input.source(close, "Source")
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// Calculation
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evwma_value = evwma(i_source, volume, i_period)
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// Plot
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plot(evwma_value, "EVWMA", color=color.yellow, linewidth=2)
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