安装指令如下：

pip install stockstats

conda install -c conda-forge ta-lib

能够在mbalib 网站上查询各个政策的意义。例如：
wiki.mbalib.com/wik变量的指针其意义是指该变量的i/三app下载重指数滑润…

完结

先导入几个包，除了talib变量的指针其意义是指该变量的、numpy和pandas以外还有stockstats、pandas_talib

import pandas as pd
import numpy as np
import talib
import stoc变量是什么意思kstats
import pandas_talib
'''
这里虽然没有界说df这个变量，但这很明显就是dateframe格局的某只股票基础数据
包含开盘价、收盘价、最高价、最低价和成交量
主张用tushare来获取数据(当然仅限日数据)
'''
stockStat = stockstats.StockDataFrame.retype(df)
close = df.close
highPrice = df.high
lowPrice = df.low
volume = df.volume

然后把一些人家库现已完结好的政策放出来

df.rename(columns={'clo变量名的命名规矩se': 'Close', 'volume': 'Volume'}, inplace=True)application
sig_k , sig_d  = talib.STOCH(np.array(highPrice), np.array(lowPrice),
np.array(close), fastk_period=9,slowk_period=3,
slowk_matype=0, slowd_perapplicationiod=3, slowd_matype=0)
sig_j = sig_k * 3 - sig_d  * 2
sig = pd.concat([sig_k, sig_d, sig_j], axis=1, keyappointments=['K', 'D', 'J'])
sig['MACD']变量名, MACDsignappreciateal, MACDhist = talibapple.MACD(np.array(close), fastperiod=application6,
slowperiod=12, signalperiod=9)
sig['MOM'] = talib.MOM(np.array(clo变量之间的联系se), timeperiod=5)
s变量泵ig['CMAPPO'] = talib.CMO(close, timeperiod=10)
sig['TRIapplicationX'] = tal变量值ib.TRIX(close, timeperiod=14)
sig['OBV'] = talib.OBV(close, voappstorelume)
sig['ROC'] = talib.ROC(close, timeperio变量类型有哪些d=apple10)
sig['VR'] = stockStat['vr']
sig['Force_Index'] = pandas_t变量值alib.FORCE(df, 12)['Force_12']变量的指针其意义是指该变量的

BIAS

def BIAS(close, timeperiod=20):
if isinstancapp是什么意思e(close,np.ndarray):
pass
else:
close = np.array(close)
MA = talib.MA(close,time变量是什么意思period=timeperiod)
return (close-MA)/MA

AMA

def AMA(stockSt变量值atapplication):
retapplicationurn talib.MA(stockStatapproach['dma'],  timeperiod=10)

PSY

def PSY(priceData, period):
difference =app下载 priceDa变量与函数ta[1:] - priceDa变量名的命名规矩ta[:-1]
difference = np.append(0, difference)
difapplicationference_dir = np.where变量的界说(difference > 0, 1, 0)
psy变量 = np.zeros((len(priceData),))
psy[:period] *= np.nan
for i in range(period, len(price变量与函数Data)approach):
psy[i] = (diffeappreciaterence_di变量名的命名规矩r[i-period+1:i+1].sum()) / period
return psy*100

D变量泵PO

defDPappleO(close):
p=变量talib.MA(close,timeperiod=11)
p.shift()
re变量的界说turnclose-p

VHF

def VHF(close):
LCP = talib.MIN(close, timeperiod=28)
HCP = tali变量之间的联系b.MAX(close, timeperiod=28)
NUM = HCP - LCP
pre = close.copy()
pre = pre.shift()
DEN = abs(close-close.shift())
DEN = talib.MA(DEN, tiapp是什么意思meperiod=28)*28
return NUM.d变量值iv(DEN)

def RVI(df):
close = df.appointmentclose
open = df.open
high = df.high
low = df.low
X = cl变量之间的联系ose-ope变量之间的联系n+2*(close.shift()-open.shift())+
2*(close.shift(periods=2)-open.shift(periods=2))*(close.shift(periods=3)-
open.shift(periods=3))/6
Y = high-low+2*(applicationhigh.shift()-low.shift())+
2*(hi变量的界说gh.shift(period变量值s=2)-low.shi变量值ft(periods=2))*(h变量之间的联系igh.shift(periods=3)-
low.shift(periods=3))/6
Z = talib.MA(X, tAPPimeperiod=10)*appointment10
D = talib.MA(Y, time变量的指针其意义是指该变量的period=10)*10
return Z/D

参看博客

pypi.org/proappstoreject/sto…

anaconda.org/conda-forge…

www.geek-share.com/detail/2749…