c.addSlowStochastic(75, 14, 3, 0x006060, 0x606000)
# Add the main chart with 240 pixels in height
c.addMainChart(240)
# Add a 10 period simple moving average to the main chart, using brown color
c.addSimpleMovingAvg(10, 0x663300)
# Add a 20 period simple moving average to the main chart, using purple color
c.addSimpleMovingAvg(20, 0x9900ff)
# Add candlestick symbols to the main chart, using green/red for up/down days
c.addCandleStick(0x00ff00, 0xff0000)
# Add 20 days donchian channel to the main chart, using light blue (9999ff) as the
# border and semi-transparent blue (c06666ff) as the fill color
c.addDonchianChannel(20, 0x9999ff, 0xc06666ff)
# Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using
# green/red/grey for up/down/flat days
c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080)
# Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using
# 9 days for computing divergence.
c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000)
# Output the chart
print("Content-type: image/png\n")
binaryPrint(c.makeChart2(PNG))
# Add 20 days bollinger band to the main chart, using light blue (9999ff) as the border and
# semi-transparent blue (c06666ff) as the fill color
c.addBollingerBand(20, 2, 0x9999ff, 0xc06666ff)
# Add a 75 pixels volume bars sub-chart to the bottom of the main chart, using green/red/grey for
# up/down/flat days
c.addVolBars(75, 0x99ff99, 0xff9999, 0x808080)
# Append a 14-days RSI indicator chart (75 pixels high) after the main chart. The main RSI line is
# purple (800080). Set threshold region to +/- 20 (that is, RSI = 50 +/- 25). The upper/lower
# threshold regions will be filled with red (ff0000)/blue (0000ff).
c.addRSI(75, 14, 0x800080, 20, 0xff0000, 0x0000ff)
# Append a MACD(26, 12) indicator chart (75 pixels high) after the main chart, using 9 days for
# computing divergence.
c.addMACD(75, 26, 12, 9, 0x0000ff, 0xff00ff, 0x008000)
# Create the WebChartViewer object
viewer = WebChartViewer(query, "chart1")
# Output the chart
chartQuery = c.makeTmpFile("/tmp/tmpcharts")
# Set the chart URL to the viewer
viewer.setImageUrl("getchart.py?img=/tmp/tmpcharts/" + chartQuery)
# Output Javascript chart model to the browser to support tracking cursor
viewer.setChartModel(c.getJsChartModel())
print("Content-type: text/html\n")
print(
