def Plot(self):
# Create ZeroLine
zeroLine = CreateHorizontalLine(self.macd.index, 0, 0)
# Plot backgrounds
x_axis = self.toNumIndex(self.signal)
plt.fill_between(x_axis, self.signal, self.macd,
where=self.signal < self.macd, color='#b3ffb3')
plt.fill_between(x_axis, self.signal, self.macd,
where=self.signal >= self.macd, color='#ffb3b3')
# Plot
plt.plot(self.toNumIndex(zeroLine), zeroLine, '--', color='#777777')
plt.plot(self.toNumIndex(self.macd), self.macd, label='AMD MACD',
linewidth=1.0, color='#FF0000')
plt.plot(self.toNumIndex(self.signal), self.signal, label='Signal Line',
linewidth=1.0, color='#008800')
# Signals plottting
if (self.buy is not None and self.buy.size):
plt.plot(self.toNumIndex(self.buy), self.buy,
'o', color='#000000', ms=8)
plt.plot(self.toNumIndex(self.buy), self.buy, 'o',
label='Buy', color='#00FF00')
if (self.sell is not None and self.sell.size):
plt.plot(self.toNumIndex(self.sell),
self.sell, 'o', color='#000000', ms=8)
plt.plot(self.toNumIndex(self.sell), self.sell, 'o',
label='Sell', color='#FF0000')
# Plot trend lines
upTrends = trend(self.macd, 'rising')
downTrends = trend(self.macd, 'falling')
upTrends.Plot('green', 'rising', 0.6)
downTrends.Plot('red', 'falling', 0.6)
def Plot(self):
# Base 50% line
line50 = CreateHorizontalLine(self.rsi.index, 50, 50)
plt.plot(self.toNumIndex(line50), line50,
'-.', linewidth=1.0, color='#333333')
# RSI
plt.plot(self.toNumIndex(self.rsi), self.rsi, label='RSI'
+ str(self.n), linewidth=1.0, color='#000000')
x_axis = self.toNumIndex(self.rsi)
# OverBought
overBought = CreateHorizontalLine(self.rsi.index, 70, 70, True)
plt.plot(self.toNumIndex(overBought), overBought, '--',
label='Overbought', color='#940006')
plt.fill_between(x_axis, self.rsi, overBought['value'],
where=self.rsi >= overBought['value'], color='#ffb3b3')
# OverSold
overSold = CreateHorizontalLine(self.rsi.index, 30, 30, True)
plt.plot(self.toNumIndex(overSold), overSold, '--',
label='Oversold', color='#169400')
plt.fill_between(x_axis, self.rsi, overSold['value'],
where=self.rsi <= overSold['value'], color='#b3ffb3')
# Trend to Fall
if (self.trendToFall.size):
plt.plot(self.toNumIndex(self.trendToFall), self.trendToFall,
'*', label='ToFall', color='#FFFF00')
# Trend to Rise
if (self.trendToRise.size):
plt.plot(self.toNumIndex(self.trendToRise), self.trendToRise,
'*', label='ToRise', color='#00FFFF')
# May buy 50
if (self.fromBottom50.size):
plt.plot(self.toNumIndex(self.fromBottom50),
self.fromBottom50, 'go', label='MayBuy')
# Plot trend lines
upTrends = trend(self.rsi, 'rising')
downTrends = trend(self.rsi, 'falling')
upTrends.Plot('green', 'rising', 0.6)
downTrends.Plot('red', 'falling', 0.6)
plt.ylim(top=100, bottom=0)
plot2A = plot2.twinx()
plot2A.plot(toNumIndex(obvTotal.index, obvTotal),
obvTotal,
label='OBV total')
plot2A.legend(loc='upper left')
plot2A.tick_params(axis='y', labelcolor='tab:blue')
# Money on market - ALL
if (stockData.hasVolume()):
plot2B = plot2.twinx()
stockData.PlotMoneyOnMarketAll(plot2B)
plot2B.tick_params(axis='y', labelcolor='tab:red')
plt.legend(loc='upper left')
period = 2
upTrends = trend(stockData.GetData('Low'), 'rising')
downTrends = trend(stockData.GetData('High'), 'falling')
# Price OHLC
plot3 = plt.subplot(gs[2:5, :])
bollinger.Plot()
stockData.PlotCandle(plot3)
stockData.PlotAssets()
plt.ylabel('Price (%s)' % (info.GetCurrency()))
plt.grid()
plt.legend(loc='upper left')
# Plot trend lines
upTrends.Plot('green', 'rising', annotate=True)
downTrends.Plot('red', 'falling', annotate=True)
# Add return rates axle
stockData.AddReturnRatesAxle(plot3)
def Plot(self):
# Stoch %K and %D
plt.plot(self.toNumIndex(self.k),
self.k,
label='%K' + str(self.n),
linewidth=1.0,
color='blue')
plt.plot(self.toNumIndex(self.d),
self.d,
label='%D' + str(self.d_n),
linewidth=1.0,
color='red')
x_axis = self.toNumIndex(self.k)
# OverBought
overBought = CreateHorizontalLine(self.k.index, self.overBoughtLvl,
self.overBoughtLvl, True)
plt.plot(self.toNumIndex(overBought),
overBought,
'--',
label='Overbought',
color='#940006')
plt.fill_between(x_axis,
self.k,
overBought['value'],
where=self.k >= overBought['value'],
color='#ffb3b3')
# OverSold
overSold = CreateHorizontalLine(self.k.index, self.overSellLvl,
self.overSellLvl, True)
plt.plot(self.toNumIndex(overSold),
overSold,
'--',
label='Oversold',
color='#169400')
plt.fill_between(x_axis,
self.k,
overSold['value'],
where=self.k <= overSold['value'],
color='#b3ffb3')
# Signals plottting
if (self.buy is not None and self.buy.size):
plt.plot(self.toNumIndex(self.buy),
self.buy,
'o',
color='#000000',
ms=8)
plt.plot(self.toNumIndex(self.buy),
self.buy,
'o',
label='Buy',
color='#00FF00')
if (self.sell is not None and self.sell.size):
plt.plot(self.toNumIndex(self.sell),
self.sell,
'o',
color='#000000',
ms=8)
plt.plot(self.toNumIndex(self.sell),
self.sell,
'o',
label='Sell',
color='#FF0000')
# Plot trend lines
upTrends = trend(self.k, 'rising')
downTrends = trend(self.k, 'falling')
upTrends.Plot('green', 'rising', 0.6)
downTrends.Plot('red', 'falling', 0.6)
plt.ylim(top=100, bottom=0)