1、TaLib与技术分析技术分析是股票分析十分有效直接的手段，在实际投资中我们常常需要计算各种简单或复杂的技术指标来分析参考

对于技术指标的定义基本都大同小异，很多都是通用的且模块化的东西

对于不会写代码或者不想自己写函数计算这些技术指标的人而言，强大的Talib给我们带来了福音

只需要调用Talib的函数，输入简单的参数就可以得到自己想要的结果

2、初看Talib

先简单看看Talib都给我们提供了那些计算技术指标的函数，按技术指标的类型列示如下：

Overlap Studies Functions

BBANDS - Bollinger Bands

upperband, middleband, lowerband = BBANDS(close, timeperiod=5, nbdevup=2, nbdevdn=2, matype=0)

DEMA - Double Exponential Moving Average

real = DEMA(close, timeperiod=30)

EMA - Exponential Moving Average

real = EMA(close, timeperiod=30)

HT_TRENDLINE - Hilbert Transform - Instantaneous Trendline

real = HT_TRENDLINE(close)

KAMA - Kaufman Adaptive Moving Average

real = KAMA(close, timeperiod=30)

MA - Moving average

real = MA(close, timeperiod=30, matype=0)

MAMA - MESA Adaptive Moving Average

mama, fama = MAMA(close, fastlimit=0, slowlimit=0)

MAVP - Moving average with variable period

real = MAVP(close, periods, minperiod=2, maxperiod=30, matype=0)

MIDPOINT - MidPoint over period

real = MIDPOINT(close, timeperiod=14)

MIDPRICE - Midpoint Price over period

real = MIDPRICE(high, low, timeperiod=14)

SAR - Parabolic SAR

real = SAR(high, low, acceleration=0, maximum=0)

SAREXT - Parabolic SAR - Extended

real = SAREXT(high, low, startvalue=0, offsetonreverse=0, accelerationinitlong=0,

accelerationlong=0, accelerationmaxlong=0, accelerationinitshort=0, accelerationshort=0, accelerationmaxshort=0)

SMA - Simple Moving Average

real = SMA(close, timeperiod=30)

T3 - Triple Exponential Moving Average (T3)

real = T3(close, timeperiod=5, vfactor=0)

TEMA - Triple Exponential Moving Average

real = TEMA(close, timeperiod=30)

TRIMA - Triangular Moving Average

real = TRIMA(close, timeperiod=30)

WMA - Weighted Moving Average

real = WMA(close, timeperiod=30)

Momentum Indicator Functions

ADX - Average Directional Movement Index

real = ADX(high, low, close, timeperiod=14)

ADXR - Average Directional Movement Index Rating

real = ADXR(high, low, close, timeperiod=14)

APO - Absolute Price Oscillator

real = APO(close, fastperiod=12, slowperiod=26, matype=0)

AROON - Aroon

aroondown, aroonup = AROON(high, low, timeperiod=14)

AROONOSC - Aroon Oscillator

real = AROONOSC(high, low, timeperiod=14)

BOP - Balance Of Power

real = BOP(open, high, low, close)

CCI - Commodity Channel Index

real = CCI(high, low, close, timeperiod=14)

CMO - Chande Momentum Oscillator

real = CMO(close, timeperiod=14)

DX - Directional Movement Index

real = DX(high, low, close, timeperiod=14)

MACD - Moving Average Convergence/Divergence

macd, macdsignal, macdhist = MACD(close, fastperiod=12, slowperiod=26, signalperiod=9)

MACDEXT - MACD with controllable MA type

macd, macdsignal, macdhist = MACDEXT(close, fastperiod=12, fastmatype=0, slowperiod=26,

slowmatype=0, signalperiod=9, signalmatype=0)

MACDFIX - Moving Average Convergence/Divergence Fix 12/26

macd, macdsignal, macdhist = MACDFIX(close, signalperiod=9)

MFI - Money Flow Index

real = MFI(high, low, close, volume, timeperiod=14)

MINUS_DI - Minus Directional Indicator

real = MINUS_DI(high, low, close, timeperiod=14)

MINUS_DM - Minus Directional Movement

real = MINUS_DM(high, low, timeperiod=14)

MOM - Momentum

real = MOM(close, timeperiod=10)

RSI - Relative Strength Index

real = RSI(close, timeperiod=14)

Volume Indicator Functions

AD - Chaikin A/D Line

real = AD(high, low, close, volume)

ADOSC - Chaikin A/D Oscillator

real = ADOSC(high, low, close, volume, fastperiod=3, slowperiod=10)

OBV - On Balance Volume

real = OBV(close, volume)

Volatility Indicator Functions

ATR - Average True Range

real = ATR(high, low, close, timeperiod=14)

NATR - Normalized Average True Range

real = NATR(high, low, close, timeperiod=14)

TRANGE - True Range

real = TRANGE(high, low, close)Price Transform Functions

AVGPRICE - Average Price

real = AVGPRICE(open, high, low, close)

MEDPRICE - Median Price

real = MEDPRICE(high, low)

TYPPRICE - Typical Price

real = TYPPRICE(high, low, close)

WCLPRICE - Weighted Close Price

real = WCLPRICE(high, low, close)

Cycle Indicator Functions

HT_DCPERIOD - Hilbert Transform - Dominant Cycle Period

real = HT_DCPERIOD(close)

HT_DCPHASE - Hilbert Transform - Dominant Cycle Phase

real = HT_DCPHASE(close)

HT_PHASOR - Hilbert Transform - Phasor Components

inphase, quadrature = HT_PHASOR(close)

HT_SINE - Hilbert Transform - SineWave

sine, leadsine = HT_SINE(close)

HT_TRENDMODE - Hilbert Transform - Trend vs Cycle Mode

integer = HT_TRENDMODE(close)

Statistic Functions

BETA - Beta

real = BETA(high, low, timeperiod=5)

CORREL - Pearson's Correlation Coefficient (r)

real = CORREL(high, low, timeperiod=30)

LINEARREG - Linear Regression

real = LINEARREG(close, timeperiod=14)

LINEARREG_ANGLE - Linear Regression Angle

real = LINEARREG_ANGLE(close, timeperiod=14)

LINEARREG_INTERCEPT - Linear Regression Intercept

real = LINEARREG_INTERCEPT(close, timeperiod=14)

LINEARREG_SLOPE - Linear Regression Slope

real = LINEARREG_SLOPE(close, timeperiod=14)

STDDEV - Standard Deviation

real = STDDEV(close, timeperiod=5, nbdev=1)

TSF - Time Series Forecast

real = TSF(close, timeperiod=14)

VAR - Variance

real = VAR(close, timeperiod=5, nbdev=1)

Math Transform Functions

ACOS - Vector Trigonometric ACos

real = ACOS(close)

ASIN - Vector Trigonometric ASin

real = ASIN(close)

ATAN - Vector Trigonometric ATan

real = ATAN(close)

CEIL - Vector Ceil

real = CEIL(close)

COS - Vector Trigonometric Cos

real = COS(close)

COSH - Vector Trigonometric Cosh

real = COSH(close)

EXP - Vector Arithmetic Exp

real = EXP(close)

FLOOR - Vector Floor

real = FLOOR(close)

LN - Vector Log Natural

real = LN(close)

LOG10 - Vector Log10

real = LOG10(close)

SIN - Vector Trigonometric Sin

real = SIN(close)

SINH - Vector Trigonometric Sinh

real = SINH(close)

SQRT - Vector Square Root

real = SQRT(close)

TAN - Vector Trigonometric Tan

real = TAN(close)

TANH - Vector Trigonometric Tanh

real = TANH(close)

Math Operator Functions

ADD - Vector Arithmetic Add

real = ADD(high, low)

DIV - Vector Arithmetic Div

real = DIV(high, low)

MAX - Highest value over a specified period

real = MAX(close, timeperiod=30)

MAXINDEX - Index of highest value over a specified period

integer = MAXINDEX(close, timeperiod=30)

MIN - Lowest value over a specified period

real = MIN(close, timeperiod=30)

MININDEX - Index of lowest value over a specified period

integer = MININDEX(close, timeperiod=30)

MINMAX - Lowest and highest values over a specified period

min, max = MINMAX(close, timeperiod=30)

MINMAXINDEX - Indexes of lowest and highest values over a specified period

minidx, maxidx = MINMAXINDEX(close, timeperiod=30)

MULT - Vector Arithmetic Mult

real = MULT(high, low)

SUB - Vector Arithmetic Substraction

real = SUB(high, low)

SUM - Summation

real = SUM(close, timeperiod=30)

上面只是列举了一部分，更多函数可以参见官网，点击链接

3、如何应用：MA实例从上面可以看到，MA这个函数的参数为：real = MA(close, timeperiod=30, matype=0)

close表示收盘价序列，timeperiod指定义好均线的计算长度即几日均线，不输入的话，默认为30日，matype可以默认不用输入，然后就可以得到均线的值

所以简单来讲，只取获取收盘价序列，就可以轻松计算MA值

下面以万科A为例进行说明

data=DataAPI.MktEqudGet(ticker=u"000002",beginDate=u"20160601",endDate=u"20160804",field=u"secShortName,tradeDate,closePrice",pandas="1") #取数据

data['MA5'] = talib.MA(data['closePrice'].values, timeperiod=5) #调用talib计算5日均线的值

data.tail(10) #后十行结果

就这样，我们便捷地计算出了均线，下面计算更复杂的EMA，MACD

有关EMA,MACD的基础知识，可以参考社区帖子『研究｜技术指标｜第一弹』MACD

关于EMA,MACD计算的函数的描述是：

real = EMA(close, timeperiod=30)

macd, macdsignal, macdhist = MACD(close, fastperiod=12, slowperiod=26, signalperiod=9)

输入参数：close是收盘价，timeperiod指的是指数移动平均线EMA的长度，fastperiod指更短时段的EMA的长度，slowperiod指更长时段的EMA的长度，signalperiod指DEA长度返回值：注意有些地方的macdhist = 2(dif-dea)，但是talib中MACD的计算是macdhist = dif-dea

data['EMA12'] = talib.EMA(data['closePrice'].values, timeperiod=12) #调用talib 计算12日移动移动平均线的值

data['EMA26'] = talib.EMA(data['closePrice'].values, timeperiod=26)

data['MACD'],data['MACDsignal'],data['MACDhist'] = talib.MACD(data['closePrice'].values)在构建策略时也会更加方便。

4、策略实战：双均线策略当5日均线上穿60日均线，买入

当5日均线下穿60日均线，卖出

我们不再需要自己写函数计算均线，只需要调用函数就可以方便的解决问题(对于更复杂的指标，talib的便捷就更加明显)

import pandas as pd

import numpy as np

import talib

start = '2013-01-01' # 回测起始时间

end = '2016-07-01' # 回测结束时间

benchmark = 'HS300' # 策略参考标准

universe = set_universe('HS300')

capital_base = 1000000 # 起始资金

freq = 'd' # 策略类型，'d'表示日间策略使用日线回测，'m'表示日内策略使用分钟线回测

refresh_rate = 5 # 调仓频率，表示执行handle_data的时间间隔，若freq = 'd'时间间隔的单位为交易日，若freq = 'm'时间间隔为分钟

def initialize(account): # 初始化虚拟账户状态

pass

def handle_data(account): # 每个交易日的买入卖出指令

period1 = 5 #取5日数据

period2 = 60 #取60日数据

all_close_prices = account.get_attribute_history('closePrice', period2) # 获取历史closePrice数据

buy_list = [] # 备选买入清单

sell_list = [] # 卖出清单

for stk in account.universe:

prices = all_close_prices[stk]

if prices is None:

continue

try:

MA5 = talib.MA(prices, timeperiod=period1) # 计算5日均线

MA60 = talib.MA(prices, timeperiod=period2) #计算60日均线

except:

continue

# 买入卖出判断

if MA5[-1]-MA60[-1] > 0: #talib计算返回的MA5是一个数组，对应于日期，最后一个元素就是当前交易日前一天的5日均线值

buy_list.append(stk)

elif MA5[-1]-MA60[-1] < 0: #当5日均线下穿60日均线，卖出

sell_list.append(stk)

hold = []

buy = [] # 最终买入清单

# 买入卖出

for stk in account.valid_secpos:

# sell_list卖出

if stk in sell_list:

order_to(stk, 0)

# 其余继续持股

else:

hold.append(stk)

buy = hold

for stk in buy_list:

# 若buy_list中股票有未买入的，加入

if stk not in hold:

buy.append(stk)

if len(buy) > 0:

# 等仓位买入

amout = account.referencePortfolioValue/len(buy) # 每只股票买入数量

for stk in buy:

num = int(amout/account.referencePrice[stk] / 100.0) * 100

order_to(stk, num)

return原文链接：TaLib在股票技术分析中的应用