mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-03 11:47:44 +00:00
Miha Kralj
45 lines
1.6 KiB
Plaintext
45 lines
1.6 KiB
Plaintext
// Licensed under the Apache License, Version 2.0
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// © mihakralj
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//@version=6
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indicator("Pivot Points (DeMark)", "PIVOTDEM", overlay=true)
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//@function Calculates DeMark pivot points with conditional open/close logic
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//@param tf Timeframe for pivot calculation ("D", "W", "M")
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//@returns Tuple [pp, r1, s1] with pivot levels (only 3 levels)
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//@references Tom DeMark, conditional pivot formula
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pivotdem(simple string tf) =>
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[hi, lo, op, cl] = request.security(syminfo.tickerid, tf, [high[1], low[1], open[1], close[1]], lookahead=barmerge.lookahead_on)
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if na(hi) or na(lo) or na(op) or na(cl)
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[na, na, na]
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else
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float x = 0.0
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if cl < op
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x := hi + 2.0 * lo + cl
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else if cl > op
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x := 2.0 * hi + lo + cl
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else
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x := hi + lo + 2.0 * cl
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float pp = x / 4.0
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float r1 = x / 2.0 - lo
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float s1 = x / 2.0 - hi
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[pp, r1, s1]
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// ---------- Main loop ----------
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// Inputs
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i_timeframe = input.timeframe("D", "Pivot Timeframe", options=["D", "W", "M"])
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i_show_pp = input.bool(true, "Show Pivot Point")
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i_show_r1 = input.bool(true, "Show R1")
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i_show_s1 = input.bool(true, "Show S1")
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i_color_pp = input.color(color.yellow, "PP Color")
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i_color_r = input.color(color.red, "Resistance Color")
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i_color_s = input.color(color.green, "Support Color")
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// Calculation
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[pp, r1, s1] = pivotdem(i_timeframe)
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// Plot
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plot(i_show_pp ? pp : na, "PP", color=i_color_pp, linewidth=2, style=plot.style_stepline)
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plot(i_show_r1 ? r1 : na, "R1", color=i_color_r, linewidth=1, style=plot.style_stepline)
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plot(i_show_s1 ? s1 : na, "S1", color=i_color_s, linewidth=1, style=plot.style_stepline)
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