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https://github.com/mihakralj/QuanTAlib.git
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Miha Kralj
24e86d762a
- Updated BBWN, BBWP, CCV, CV, CVI, EWMA, GKV, HLV, HV, Jvolty, JVOLTYN, MASSI, NATR, RSV, RV, RVI, TR, UI, VOV, VR, YZV indicators with documentation links. - Added documentation links for Aberration, Acceleration Bands, Andrews' Pitchfork, Adaptive Price Zone, ATR Bands, Bollinger Bands, Center of Gravity, Donchian Channels, Decay Min-Max Channel, Detrended Synthetic Price, EACP, EBSW, HOMOD, Jurik Volatility Bands, Keltner Channel, MA Envelope, Min-Max Channel, Price Channel, Regression Channels, Standard Deviation Channel, Stoller Average Range Channel, Super Trend Bands, Ultimate Bands, Ultimate Channel, VWAP Bands, and VWAP with Standard Deviation Bands.
45 lines
1.6 KiB
Plaintext
45 lines
1.6 KiB
Plaintext
// The MIT License (MIT)
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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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