pandas_target_practice_v1.0.4.txt

// Created by @pequet (https://www.tradingview.com/u/pequet) April 11, 2018 
// https://github.com/pequet/
// NOT FOR DISTRIBUTION
// @version=3

// References:
// http://stockcharts.com/school/doku.php?id=chart_school:chart_analysis:gaps_and_gap_analysis
// https://bioequity.org/statistics-do-stock-price-gaps-always-get-filled/

study(title="Pandas Target Practice v1.0.4", shorttitle="Pandas Target Practice", overlay=false, precision=8)

// based on Gap Meter v1.0.4

// INPUTS/CONFIG
// -------------

gapThresholdConfig = 0 // a gap is a gap

// CALCULATE
// ---------

a = min(open,close)
b = max(open[1],close[1])
gap1 = a-b>gapThresholdConfig?a-b:na
gaplevel1 = a-b>gapThresholdConfig?b:0
c = min(open[1],close[1])
d = max(open,close)
gap2 = c-d>gapThresholdConfig?c-d:na
gaplevel2 = c-d>gapThresholdConfig?c:0

gapHeight = not na(gap1) ? gap1 : not na(gap2) ? gap2 : na

// PLOT
// ----

// candles 
_candleColor = open > close ? silver : gray
_wickColor = gray
plotcandle(open, high, low, close, color=_candleColor, wickcolor=_wickColor, title="")

// plot(gap1 > 0 ? b + 0.5 * gapHeight : gap2 > 0 ? d + 0.5 * gapHeight : na, style=line, color=fuchsia, linewidth=1, transp=0, title="Pandas Zipline", offset=0) // pandas zipline
// plot(gapHeight, title="Gap", color=not na(gap1) ? green : red, transp=20, style=histogram, linewidth=4, offset=0) // gap meter
plotshape(gap1 > 0 ? b + 0.5 * gapHeight : gap2 > 0 ? d + 0.5 * gapHeight : na, location=location.absolute, style=shape.circle, color=gap1 > 0 ? green : red, size=size.small, title="Gap", offset=0) // pandas targets

// that's all 

Great stuff!