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import akshare as ak
import pandas as pd
from pyecharts.charts import *
from pyecharts import options as opts
df = ak.stock_zh_a_hist(symbol="600036", start_date='20220104',end_date='20220916', adjust="qfq").iloc[:, :6]
df.columns = ['date','open','close','high','low','volume',]
df.index = pd.to_datetime(df.date)
df.index=df.index.strftime('%Y%m%d')
df=df.sort_index()
df['sma']=df.close.rolling(5).mean()
df['lma']=df.close.rolling(10).mean()
df['lma20']=df.close.rolling(20).mean()
df['lma30']=df.close.rolling(30).mean()
df['lma60']=df.close.rolling(60).mean()
df.index=range(len(df))
df['ATR1']=df['high']-df['low']
df['ATR2']=abs(df['close'].shift(1)-df['high'])
df['ATR3']=abs(df['close'].shift(1)-df['low'])
df['ATR4']=df['ATR1']
for i in range(len(df)):
if df.loc[i,'ATR4']<df.loc[i,'ATR2'] :
df.loc[i,'ATR4']=df.loc[i,'ATR2']
if df.loc[i,'ATR4']<df.loc[i,'ATR3'] :
df.loc[i,'ATR4']=df.loc[i,'ATR3']
df['ATR']=df.ATR4.rolling(14).mean()
df['stop']=df['close'].shift(1)-df['ATR']*3
df['boll']=df.close.rolling(13).mean()
df['delta']=df.close-df.boll
df['beta']=df.delta.rolling(13).std()
df['up']=df['boll']+2*df['beta']
df['down']=df['boll']-2*df['beta']
markb=pd.DataFrame()
marks=pd.DataFrame()
for i in range(len(df)):
if df.loc[i,'close']>df.loc[i,'up'] :
marks.loc[i,'date']=df.loc[i,'date']
marks.loc[i,'close']=df.loc[i,'close']
marks.loc[i,'act']='S'
if df.loc[i,'close']<df.loc[i,'down'] :
markb.loc[i,'date']=df.loc[i,'date']
markb.loc[i,'close']=df.loc[i,'close']
markb.loc[i,'act']='B'
df.index = pd.to_datetime(df.date)
df.index=df.index.strftime('%Y%m%d')
kline = (
Kline(init_opts=opts.InitOpts(width="1200px",height="600px"))
.add_xaxis(xaxis_data=list(df.index))
.add_yaxis(
series_name="klines",
y_axis=df[["open","close","low","high"]].values.tolist(),
itemstyle_opts=opts.ItemStyleOpts(color="#ec0000", color0="#00da3c"),
markpoint_opts=opts.MarkPointOpts(
data=[
opts.MarkPointItem(type_='max', name='最大值'),
opts.MarkPointItem(type_='min', name='最小值'), ],
),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="K线及均线",pos_left='45%'),
legend_opts=opts.LegendOpts(pos_right="35%",pos_top="5%"),
datazoom_opts=[
opts.DataZoomOpts(
is_show=False,
type_="inside",
xaxis_index=[0,1],
range_start=0, range_end=100,
),
opts.DataZoomOpts(
is_show=True,
type_="slider",
xaxis_index=[0,1],
pos_top="85%",
range_start=0, range_end=100,
),
],
yaxis_opts=opts.AxisOpts(
is_scale=True,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1) ),
),
tooltip_opts=opts.TooltipOpts(
trigger="axis",
axis_pointer_type="cross",
background_color="rgba(245, 245, 245, 0.8)",
border_width=1, border_color="#ccc",
textstyle_opts=opts.TextStyleOpts(color="#000"),
),
visualmap_opts=opts.VisualMapOpts(
is_show=False, dimension=2,
series_index=5, is_piecewise=True,
pieces=[ {"value": 1, "color": "#00da3c"}, {"value": -1, "color": "#ec0000"}, ],
),
axispointer_opts=opts.AxisPointerOpts(
is_show=True,
link=[{"xAxisIndex": "all"}],
label=opts.LabelOpts(background_color="#777"),
),
brush_opts=opts.BrushOpts(
x_axis_index="all",
brush_link="all",
out_of_brush={"colorAlpha": 0.1},
brush_type="lineX",
),
)
)
line=Line()
line.add_xaxis( df.index.tolist() )
line.add_yaxis( 'MA5',
df.sma.round(2).tolist(),
is_smooth=True,
is_symbol_show=False
)
line.add_yaxis( 'boll',df.boll.round(2).tolist(),is_smooth=True,is_symbol_show=False,linestyle_opts=opts.LineStyleOpts(width=2,type_='dashed') )
line.add_yaxis( 'up',df.up.round(2).tolist(),is_smooth=True,is_symbol_show=False,linestyle_opts=opts.LineStyleOpts(width=2,type_='dashed') )
line.add_yaxis( 'down',df.down.round(2).tolist(),is_smooth=True,is_symbol_show=False,linestyle_opts=opts.LineStyleOpts(width=2,type_='dashed') )
line.set_series_opts(
label_opts=opts.LabelOpts(is_show=False),
)
line.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(
is_show=False,
type_="inside",
xaxis_index=[0,1],
range_start=0, range_end=100,
),
opts.DataZoomOpts(
is_show=True,
type_="slider",
xaxis_index=[0,1],
pos_top="85%",
range_start=0, range_end=100,
),
],
legend_opts=opts.LegendOpts(pos_right="20%",pos_top="5%"),
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")
)
stop=(
Line()
.add_xaxis( df.index.tolist() )
.add_yaxis( 'STOP',
df.stop.round(2).tolist(),
is_smooth=True,
)
.set_series_opts(
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=2),
)
.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(
is_show=False,
type_="inside",
xaxis_index=[0,1],
range_start=0, range_end=100,
),
opts.DataZoomOpts(
is_show=True,
type_="slider",
xaxis_index=[0,1],
pos_top="85%",
range_start=0, range_end=100,
),
],
legend_opts=opts.LegendOpts(pos_right="20%",pos_top="5%"),
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")
)
)
markb.index = pd.to_datetime(markb.date)
markb.index=markb.index.strftime('%Y%m%d')
mark1 = (
Scatter()
.add_xaxis(markb.index.tolist())
.add_yaxis(series_name='',
y_axis=markb.close.tolist(),
xaxis_index=0,
symbol='triangle',
symbol_size=10,
)
.set_series_opts(label_opts = opts.LabelOpts(is_show =False),
itemstyle_opts = opts.ItemStyleOpts(color="red"))
.set_global_opts(legend_opts=opts.LegendOpts(is_show=False))
.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_show=False))
)
marks.index = pd.to_datetime(marks.date)
marks.index=marks.index.strftime('%Y%m%d')
mark2 = (
Scatter()
.add_xaxis(marks.index.tolist())
.add_yaxis(series_name='',
y_axis=marks.close.tolist(),
xaxis_index=0,
symbol='triangle',
symbol_size=10,
symbol_rotate=180,
)
.set_series_opts(label_opts = opts.LabelOpts(is_show =False),
itemstyle_opts = opts.ItemStyleOpts(color="green"))
.set_global_opts(legend_opts=opts.LegendOpts(is_show=False))
.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_show=False))
)
kline.overlap(line)
kline.overlap(stop)
kline.overlap(mark1)
kline.overlap(mark2)
bar = (
Bar()
.add_xaxis(xaxis_data=df.index.tolist())
.add_yaxis(
series_name="volume",
y_axis=df["volume"].tolist(),
label_opts=opts.LabelOpts(is_show=False),
itemstyle_opts=opts.ItemStyleOpts(
color='#ef232a'
),
)
.set_global_opts(
xaxis_opts=opts.AxisOpts(
type_="category",
grid_index=1,
axislabel_opts=opts.LabelOpts(is_show=False),
),
legend_opts=opts.LegendOpts(is_show=False),
)
)
grid_chart = Grid(
init_opts=opts.InitOpts(
width="1200px",
height="600px",
animation_opts=opts.AnimationOpts(animation=False),
)
)
grid_chart.add(
kline,
grid_opts=opts.GridOpts(pos_left="10%", pos_right="8%", height="40%"),
)
grid_chart.add(
bar,
grid_opts=opts.GridOpts(pos_left="10%", pos_right="8%", pos_top="60%", height="20%"),
)
grid_chart.render("BOLL.html")
|
