talib 计算 KDJ值对应的函数是Stochastic Oscillator Slow (Stoch),
其返回值有两个,一个是快速确认线值,另外一个是慢速主干线值。KDJ 需要至少最近9天的数据。
talib_kdj.py
# -*- coding: utf-8 -*-
import os, sys
import tushare as ts
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import talib
if len(sys.argv) ==2:
code = sys.argv[1]
else:
print('usage: python talib_kdj.py stockcode ')
sys.exit(1)
if len(code) !=6:
print('stock code length: 6')
sys.exit(2)
df = ts.get_k_data(code)
df = df[ df['date'] >'2020-01-01']
if len(df) <10:
print(" len(df) <10 ")
sys.exit(2)
dw = pd.DataFrame()
# KDJ 值对应的函数是 STOCH
dw['slowk'], dw['slowd'] = talib.STOCH(
df['high'].values,
df['low'].values,
df['close'].values,
fastk_period=9,
slowk_period=3,
slowk_matype=0,
slowd_period=3,
slowd_matype=0)
# 求出J值,J = (3*K)-(2*D)
dw['slowj'] = list(map(lambda x,y: 3*x-2*y, dw['slowk'], dw['slowd']))
dw.index = range(len(dw))
print(dw[-3:])
df.index = pd.to_datetime(df.date)
# 画股票收盘价图
fig,axes = plt.subplots(2,1)
df[['close']].plot(ax=axes[0], grid=True, title=code)
# 画 KDJ 曲线图
dw[['slowk','slowd','slowj']].plot(ax=axes[1], grid=True)
plt.show()
运行 python talib_kdj.py 600030
参考: http://www.361way.com/talib-macd-kdj/6138.html