pydsxkline是一个有趣的python包，一行代码即可显示K线图，主要应用于股票金融量化领域，当您想要把股票数据图形化的时候，可以试试这个小工具，希望能帮到有需要的朋友。
pydsxkline基于dsxkline进行封装,具体的接口可以查看官网 http://www.dsxkline.com
pip install pydsxkline- Currently only python version 3.8 or older supported
from pydsxkline.dsxkline import DsxKline
DsxKline.show("sh000001","上证指数")DsxKline.show("sh000001","上证指数",CycleType.t)
# 五日图
DsxKline.show("sh000001","上证指数",CycleType.t5)
DsxKline.show("sh000001","上证指数",CycleType.day)DsxKline.show("sh000001","上证指数",CycleType.week)DsxKline.show("sh000001","上证指数",CycleType.month)DsxKline.show("sh000001","上证指数",CycleType.year)DsxKline.show("sh000001","上证指数",CycleType.m1)DsxKline.show("sh000001","上证指数",CycleType.day,FqType.qfq,theme=DsxThemeName.white,sides["VOL","MACD","KDJ","RSI","WR","CCI","PSY","BIAS"],height=1600)# 日线数据
datas = [
"20210915,3651.16,3677.53,3638.32,3656.22,474970001.00,60423154.41",
"20210916,3664.84,3677.92,3606.73,3607.09,546741474.00,67395534.04",
"20210917,3595.27,3620.96,3569.27,3613.97,516850210.00,62883439.43",
"20210922,3563.21,3629.45,3560.50,3628.49,472296053.00,55987472.96",
"20210923,3651.27,3670.95,3632.28,3642.22,534995486.00,63321892.91",
"20210924,3637.87,3651.43,3607.79,3613.07,507304772.00,60678860.91",
...
]
DsxKline.show("sh000001","上证指数",datas=datas,enable_data_api=False,cycle=CycleType.day)def draw_event():
return [
DsxKline.draw_cycle_with_date("20230313","买","red","#ffffff"),
DsxKline.draw_cycle_with_date("20221129","卖","green","#ffffff",12.99),
DsxKline.draw_cycle_with_date("202303241104","买","red","#ffffff")
]
DsxKline.show("sh000001","上证指数",CycleType.day,draw_event=draw_event(),main=["SAR"]) header = """
<h1 style="color:#fff;text-align:center;font-size:20px;line-height:50px;border-bottom:1px solid #191b28">这是一个大师兄线图 pydsxkline </h1>
<ul class="mycss">
<li><span>累计收益率：</span><b>30.6%</b></li>
<li><span>年化收益率：</span><b>80.6%</b></li>
<li><span>夏普比率：</span><b>0.35</b></li>
<li><span>盈亏比：</span><b>1.2</b></li>
<li><span>胜率：</span><b>67.6%</b></li>
<li><span>最大回撤：</span><b>30.6%</b></li>
<li><span>最大收益率：</span><b>10.6%</b></li>
<li><span>最小收益率：</span><b>-8.6%</b></li>
<li><span>总资产：</span><b>240098.9 元</b></li>
<li><span>盈利：</span><b>20366 元</b></li>
<li><span>亏损：</span><b>-90880 元</b></li>
</ul>
<style>
.mycss{
list-style:none;
padding:10px 20px;
color:#c5cbc0;
font-size:14px;
}
.mycss li{
float:left;
width:25%;
padding:5px 0;
}
.mycss li span{
color:#c5cbce;
}
</style>
"""
DsxKline.show("sh000001","上证指数",CycleType.day,header_html=header,header_height=160)
# 自定义指标数据
# 这个要准备跟K线数据一一对应的指标数据
# 指标名称
name1 = "MYMA"
def _install_js():
# 指标值名称 MA10，line 画折线，颜色 #ff0000
_model = [DrawModel("MA10","line","#ff0000")]
# 支持蜡烛图
_chartType = [ChartType.candle]
# 副图 sides 或者主图 main 或者两者
_location = ["sides"]
# 指标数据
_datas = []
# 这里模拟计算一个均线指标
N = 10
# 获取K线数据
klines = get_datas()
for i in range(len(klines)):
if i>=N:
amount = 0
for j in range(max(0,i-N+1),i+1):
subitem = klines[j]
subobj = subitem.split(",")
close = float(subobj[4])
amount += close
MA10 = amount / N
_datas.append({"MA10":MA10})
else:
_datas.append({"MA10":None})
# 生成js
install_js = DsxKline.get_install_index_js(name1,_model,_chartType,_location,_datas)
return install_js
DsxKline.show("sh000001","上证指数",CycleType.day,main=["SAR"],sides=[name1,"VOL","MACD","KDJ"],datas=get_datas(),enable_data_api=False,install_index_js=_install_js())自定义指标算法比较麻烦，因为js引擎只能执行js代码，所以指标算法需要用js代码来写
# 自定义指标算法，这个比较麻烦，算法需要用js来写
name2 = "MYMAMA"
def _create_index_js():
# 指标值名称 MA10，line 画折线，颜色 #ff0000
_model = [
DrawModel("MA10","line","#ff0000"),
DrawModel("MA30","line","#ffff00")
]
# 支持蜡烛图
_chartType = [ChartType.candle]
# 副图 sides 或者主图 main 或者两者
_location = ["sides"]
# 指标算法帧函数
_func = """
// 这里写js函数代码
var _name2 = "%s";
var _func = function(){
// 取得当前坐标数据
var item = this.datas[this.day];
// 初始化指标
if (item.ZHIBIAO[_name2] == null)
item.ZHIBIAO[_name2] = {
};
// 开始计算指标值，这里我们计算个均线指标吧
var N = 10;
if(this.day<N) {
item.ZHIBIAO[_name2]["MA10"] = null;
item.ZHIBIAO[_name2]["MA30"] = null;
return;
}
var amount = 0;
for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){
var subitem = this.datas[i];
amount += subitem.CLOSE;
}
var MA10 = amount / N;
item.ZHIBIAO[_name2]["MA10"] = MA10;
N = 30;
if(this.day<N) {
item.ZHIBIAO[_name2]["MA30"] = null;
return;
}
amount = 0;
for(var i=Math.max(this.day-N+1,0);i<=this.day;i++){
var subitem = this.datas[i];
// 这里模型数据里有K线所有的字段值可以引用
amount += subitem.CLOSE;
}
var MA30 = amount / N;
// 保存指标值
item.ZHIBIAO[_name2]["MA30"] = MA30;
}
""" % name2
# 生成js
create_js = DsxKline.get_create_index_js(name2,_model,_chartType,_location,_func)
return create_js
DsxKline.show("sh000001","上证指数",CycleType.day,main=["SAR"],sides=[name2,"VOL","MACD","KDJ"],create_index_js=_create_index_js())
- 详细的文档可参考：http://www.dsxkline.com
# 名称
name = ""
# 证券代码
symbol = ""
# 昨日收盘价
last_close = 0
# 宽
width = 800
# 高
height = 600
# 图表类型
chartType = ChartType.timeSharing
# 周期类型
cycle = CycleType.t
# 复权类型
fq = FqType.default
# 主题
theme = DsxThemeName.dark
# 主图指标
main = ["MA"]
# 副图指标
sides = ["VOL","MACD","RSI"]
# 数据
datas = []
# 每页请求数据大小
page_size = 320
# 页码
page = 1
# 十字线回调
on_crossing = None
# 更新完成
update_complate = None
# 副图高度
side_height = 80
# 底部间距
padding_bottom = 10
# 蜡烛图类型 默认空心
candel_type = CandleType.hollow
# 缩放类型 默认固定左边进行缩放
zoom_lock_type = ZoomLockType.right
# 是否显示提示面板，十字线移动的时候显示的详情面板
is_show_kline_tip_pannel = True
# 自动适配，k线图根据父窗口的大小自动调整
autosize = False
# 是否启用内置行情数据接口，当使用本地数据的时候请关闭设置为 false
enable_data_api = True
# debug
debug = False
# 画图事件集合
draw_event = None
# 头部html
header_html = None
# 头部高度
header_height = 0
# 安装自定义指标数据
install_index_js = install_index_js
# 创建自定义指标算法js代码
create_index_js = create_index_js
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