# Set the 6th column as the vol data from 5 to 25 million
rantable.setCol(5, 50000000, 250000000)
# Now we read the data from the table into arrays
timeStamps = rantable.getCol(0)
highData = rantable.getCol(1)
lowData = rantable.getCol(2)
openData = rantable.getCol(3)
closeData = rantable.getCol(4)
volData = rantable.getCol(5)
# Create a FinanceChart object of width 640 pixels
c = FinanceChart(640)
# Add a title to the chart
c.addTitle("Finance Chart Demonstration")
# Set the data into the finance chart object
c.setData(timeStamps, highData, lowData, openData, closeData, volData, extraDays)
# Add a slow stochastic chart (75 pixels high) with %K = 14 and %D = 3
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)
sma20 = ArrayMath(closeData).movAvg(20).result()
for i in range(0, len(sma5)):
buySignal[i] = NoValue
sellSignal[i] = NoValue
if i > 0:
if (sma5[i - 1] <= sma20[i - 1]) and (sma5[i] > sma20[i]):
buySignal[i] = lowData[i]
if (sma5[i - 1] >= sma20[i - 1]) and (sma5[i] < sma20[i]):
sellSignal[i] = highData[i]
# Create a FinanceChart object of width 640 pixels
c = FinanceChart(640)
# Add a title to the chart
c.addTitle("Finance Chart with Custom Symbols")
# Set the data into the finance chart object
c.setData(timeStamps, highData, lowData, openData, closeData, volData,
extraDays)
# Add the main chart with 240 pixels in height
mainChart = c.addMainChart(240)
# Add buy signal symbols to the main chart, using cyan (0x00ffff) upward pointing arrows as symbols
buyLayer = mainChart.addScatterLayer(None, buySignal, "Buy",
ArrowShape(0, 1, 0.4, 0.4), 11, 0x00ffff)
# Shift the symbol lower by 20 pixels
buyLayer.getDataSet(0).setSymbolOffset(0, 20)
# Add sell signal symbols to the main chart, using purple (0x9900cc) downward pointing arrows as
# Set the 6th column as the vol data from 5 to 25 million
rantable.setCol(5, 50000000, 250000000)
# Now we read the data from the table into arrays
timeStamps = rantable.getCol(0)
highData = rantable.getCol(1)
lowData = rantable.getCol(2)
openData = rantable.getCol(3)
closeData = rantable.getCol(4)
volData = rantable.getCol(5)
# Create a FinanceChart object of width 720 pixels
c = FinanceChart(720)
# Add a title to the chart
c.addTitle("Finance Chart Demonstration")
# Disable default legend box, as we are using dynamic legend
c.setLegendStyle("normal", 8, Transparent, Transparent)
# Set the data into the finance chart object
c.setData(timeStamps, highData, lowData, openData, closeData, volData,
extraDays)
# 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
lb_data = [x.close for x in bars]
# Volume Breakdown Data
bars = getBarMin01(vb, trade_date)
vb_open = [0 for x in bars]
vb_high = [x.high for x in bars]
vb_low = [x.low for x in bars]
vb_close = [x.close for x in bars]
#c = FinanceChart(1024)
c = FinanceChart(2200)
# Add a title to the chart
c.addTitle("Basket Divergences - %s" % trade_date.strftime('%D (%a)'))
# Set the data into the finance chart object
c.setData(ts, es_high, es_low, es_open, es_close, es_vol, None)
# Add the main chart with 240 pixels in height
es_chart = c.addMainChart(600)
# Add HLOC symbols to the main chart, using green/red for up/down days
#c.addHLOC('0x008000', '0xcc0000')
c.addCandleStick('0x008000', '0xcc0000')
# 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')
#c.addVolIndicator(75, '0x99ff99', '0xff9999', '0x808080')
