def draw2(stock,
query=Query(-130),
ma1_n=7,
ma2_n=20,
ma3_n=30,
ma4_n=42,
ma5_n=100,
vma1_n=5,
vma2_n=10):
"""绘制普通K线图 + 成交量（成交金额）+ MACD"""
kdata = stock.getKData(query)
close = CLOSE(kdata)
ma1 = MA(close, ma1_n)
ma2 = MA(close, ma2_n)
ma3 = MA(close, ma3_n)
ma4 = MA(close, ma4_n)
ma5 = MA(close, ma5_n)
ax1, ax2, ax3 = create_figure(3)
kdata.plot(axes=ax1)
ma1.plot(axes=ax1, legend_on=True)
ma2.plot(axes=ax1, legend_on=True)
ma3.plot(axes=ax1, legend_on=True)
ma4.plot(axes=ax1, legend_on=True)
ma5.plot(axes=ax1, legend_on=True)
vol = VOL(kdata)
total = len(kdata)
engine = get_current_draw_engine()
if engine == 'matplotlib':
rg = range(total)
x = [i - 0.2 for i in rg]
x1 = [x[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
y1 = [vol[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
x2 = [x[i] for i in rg if kdata[i].closePrice < kdata[i].openPrice]
y2 = [vol[i] for i in rg if kdata[i].closePrice < kdata[i].openPrice]
ax2.bar(x1, y1, width=0.4, color='r', edgecolor='r')
ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
elif engine == 'echarts':
vol.bar(axes=ax2, color='r', legend_on=True)
else:
pass
vma1 = MA(vol, vma1_n)
vma2 = MA(vol, vma2_n)
vma1.plot(axes=ax2, legend_on=True)
vma2.plot(axes=ax2, legend_on=True)
ax_draw_macd(ax3, kdata)
ax1.set_xlim((0, len(kdata)))
ax_set_locator_formatter(ax1, kdata.getDatetimeList(),
kdata.getQuery().kType)
adjust_axes_show([ax1, ax2, ax3])
return show_gcf()
def draw(stock, query=Query(-130), ma1_n=5, ma2_n=10, ma3_n=20, ma4_n=60,
ma5_n=100, ma_type="SMA", vma1_n=5, vma2_n=10):
"""绘制普通K线图 + 成交量（成交金额）"""
kdata = stock.getKData(query)
close = CLOSE(kdata,)
ma1 = MA(close, ma1_n, ma_type)
ma2 = MA(close, ma2_n, ma_type)
ma3 = MA(close, ma3_n, ma_type)
ma4 = MA(close, ma4_n, ma_type)
ma5 = MA(close, ma5_n, ma_type)
ax1, ax2 = create_figure(2)
kdata.plot(axes=ax1)
ma1.plot(axes=ax1, legend_on=True)
ma2.plot(axes=ax1, legend_on=True)
ma3.plot(axes=ax1, legend_on=True)
ma4.plot(axes=ax1, legend_on=True)
ma5.plot(axes=ax1, legend_on=True)
sg = SG_Cross(OP(MA(n=ma1_n, type=ma_type)), OP(MA(n=ma2_n, type=ma_type)))
sg.setTO(kdata)
sg.plot(axes=ax1, kdata=kdata)
vol = VOL(kdata)
total = len(kdata)
engine = get_current_draw_engine()
if engine == 'matplotlib':
rg = range(total)
x = [i-0.2 for i in rg]
x1 = [x[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
y1 = [vol[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
x2 = [x[i] for i in rg if kdata[i].closePrice <= kdata[i].openPrice]
y2 = [vol[i] for i in rg if kdata[i].closePrice <= kdata[i].openPrice]
ax2.bar(x1, y1, width=0.4, color='r', edgecolor='r')
ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
elif engine == 'echarts':
vol.bar(axes=ax2, color='r')
else:
pass
vma1 = MA(vol, vma1_n)
vma2 = MA(vol, vma2_n)
vma1.plot(axes=ax2, legend_on=True)
vma2.plot(axes=ax2, legend_on=True)
if query.kType == Query.WEEK and stock.market == 'SH' and stock.code=='000001':
CVAL(0.16e+009, total, color='b',linestyle='--')
#ax2.hlines(0.16e+009,0,len(kdata),color='b',linestyle='--')
ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
adjust_axes_show([ax1, ax2])
return show_gcf()
def draw(stock, query=Query(-130), ma1_n=5, ma2_n=10, ma3_n=20, ma4_n=60,
ma5_n=100, vma1_n=5, vma2_n=10):
"""绘制普通K线图 + 成交量（成交金额）"""
kdata = stock.getKData(query)
close = CLOSE(kdata,)
ma1 = MA(close, ma1_n)
ma2 = MA(close, ma2_n)
ma3 = MA(close, ma3_n)
ma4 = MA(close, ma4_n)
ma5 = MA(close, ma5_n)
ax1, ax2 = create_figure(2)
kdata.plot(axes=ax1)
ma1.plot(axes=ax1, legend_on=True)
ma2.plot(axes=ax1, legend_on=True)
ma3.plot(axes=ax1, legend_on=True)
ma4.plot(axes=ax1, legend_on=True)
ma5.plot(axes=ax1, legend_on=True)
sg = SG_Cross(MA(n=ma1_n), MA(n=ma2_n))
sg.setTO(kdata)
sg.plot(axes=ax1, kdata=kdata)
vol = VOL(kdata)
total = len(kdata)
engine = get_current_draw_engine()
if engine == 'matplotlib':
rg = range(total)
x = [i-0.2 for i in rg]
x1 = [x[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
y1 = [vol[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
x2 = [x[i] for i in rg if kdata[i].closePrice <= kdata[i].openPrice]
y2 = [vol[i] for i in rg if kdata[i].closePrice <= kdata[i].openPrice]
ax2.bar(x1, y1, width=0.4, color='r', edgecolor='r')
ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
elif engine == 'echarts':
vol.bar(axes=ax2, color='r')
else:
pass
vma1 = MA(vol, vma1_n)
vma2 = MA(vol, vma2_n)
vma1.plot(axes=ax2, legend_on=True)
vma2.plot(axes=ax2, legend_on=True)
if query.kType == Query.WEEK and stock.market == 'SH' and stock.code=='000001':
CVAL(0.16e+009, total, color='b',linestyle='--')
#ax2.hlines(0.16e+009,0,len(kdata),color='b',linestyle='--')
ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
adjust_axes_show([ax1, ax2])
return show_gcf()
def draw2(stock, query=Query(-130), ma1_n=7, ma2_n=20, ma3_n=30,
ma4_n=42, ma5_n=100, vma1_n=5, vma2_n=10):
"""绘制普通K线图 + 成交量（成交金额）+ MACD"""
kdata = stock.getKData(query)
close = CLOSE(kdata)
ma1 = MA(close, ma1_n)
ma2 = MA(close, ma2_n)
ma3 = MA(close, ma3_n)
ma4 = MA(close, ma4_n)
ma5 = MA(close, ma5_n)
ax1, ax2, ax3 = create_figure(3)
kdata.plot(axes=ax1)
ma1.plot(axes=ax1, legend_on=True)
ma2.plot(axes=ax1, legend_on=True)
ma3.plot(axes=ax1, legend_on=True)
ma4.plot(axes=ax1, legend_on=True)
ma5.plot(axes=ax1, legend_on=True)
vol = VOL(kdata)
total = len(kdata)
engine = get_current_draw_engine()
if engine == 'matplotlib':
rg = range(total)
x = [i-0.2 for i in rg]
x1 = [x[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
y1 = [vol[i] for i in rg if kdata[i].closePrice > kdata[i].openPrice]
x2 = [x[i] for i in rg if kdata[i].closePrice < kdata[i].openPrice]
y2 = [vol[i] for i in rg if kdata[i].closePrice < kdata[i].openPrice]
ax2.bar(x1, y1, width=0.4, color='r', edgecolor='r')
ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
elif engine == 'echarts':
vol.bar(axes=ax2, color='r', legend_on=True)
else:
pass
vma1 = MA(vol, vma1_n)
vma2 = MA(vol, vma2_n)
vma1.plot(axes=ax2, legend_on=True)
vma2.plot(axes=ax2, legend_on=True)
ax_draw_macd(ax3, kdata)
ax1.set_xlim((0, len(kdata)))
ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
adjust_axes_show([ax1, ax2, ax3])
return show_gcf()
def draw(stock, query=QueryByIndex(-130), ma_n=22, ma_w='auto', vigor_n=13):
"""绘制亚历山大.艾尔德交易系统图形"""
kdata = stock.getKData(query)
close = CLOSE(kdata)
ema = EMA(close, ma_n)
sf = SAFTYLOSS(close, 10, 3, 2.0)
vigor = VIGOR(kdata, vigor_n)
ax1, ax2, ax3 = create_figure(3)
kdata.plot(axes=ax1)
_draw_ema_pipe(ax1, kdata, ema, n=ma_n, w=ma_w)
sf.plot(axes=ax1, color='y', legend_on=True)
#ax1.legend(loc='upper left')
ax_draw_macd2(ax2, ema, kdata)
vigor.plot(axes=ax3,
marker='.',
color='r',
zero_on=True,
legend_on=False,
text_on=True)
u = [i for i in vigor if i > 0 and i != constant.null_price]
l = [i for i in vigor if i < 0]
umean = mean(u)
umax = max(u)
lmean = mean(l)
lmin = min(l)
up = int(umax / umean)
lp = int(lmin / lmean)
for i in range(up):
CVAL(umean * (i + 1), len(kdata)).plot(axes=ax3,
color='r',
linestyle='--')
#ax3.hlines(umean * (i + 1),0,len(kdata),color='r',linestyle='--')
for i in range(lp):
CVAL(lmean * (i + 1), len(kdata)).plot(axes=ax3,
color='g',
linestyle='--')
#ax3.hlines(lmean * (i + 1),0,len(kdata),color='g',linestyle='--')
ax1.set_xlim((0, len(kdata)))
ax_set_locator_formatter(ax1, kdata.getDatetimeList(),
kdata.getQuery().kType)
adjust_axes_show([ax1, ax2, ax3])
return show_gcf()
def draw(stock, query=QueryByIndex(-130), ma_n=22, ma_w='auto', vigor_n=13):
"""绘制亚历山大.艾尔德交易系统图形"""
kdata = stock.getKData(query)
close = CLOSE(kdata)
ema = EMA(close, ma_n)
sf = SAFTYLOSS(close, 10, 3, 2.0)
vigor = VIGOR(kdata, vigor_n)
ax1, ax2, ax3 = create_figure(3)
kdata.plot(axes=ax1)
_draw_ema_pipe(ax1,kdata, ema, n=ma_n, w=ma_w)
sf.plot(axes=ax1, color='y', legend_on=True)
#ax1.legend(loc='upper left')
ax_draw_macd2(ax2, ema, kdata)
vigor.plot(axes=ax3, marker='.', color='r', zero_on=True,
legend_on=False, text_on=True)
u = [i for i in vigor if i > 0 and i != constant.null_price]
l = [i for i in vigor if i < 0]
umean = mean(u)
umax = max(u)
lmean = mean(l)
lmin = min(l)
up = int(umax / umean)
lp = int(lmin / lmean)
for i in range(up):
CVAL(umean * (i + 1), len(kdata)).plot(axes=ax3, color='r', linestyle='--')
#ax3.hlines(umean * (i + 1),0,len(kdata),color='r',linestyle='--')
for i in range(lp):
CVAL(lmean * (i + 1), len(kdata)).plot(axes=ax3, color='g', linestyle='--')
#ax3.hlines(lmean * (i + 1),0,len(kdata),color='g',linestyle='--')
ax1.set_xlim((0, len(kdata)))
ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
adjust_axes_show([ax1, ax2, ax3])
return show_gcf()