美文网首页
julia环境下——k线【技术指标】-【ta-lib】包的学习记

julia环境下——k线【技术指标】-【ta-lib】包的学习记

作者: 昵称违法 | 来源:发表于2020-08-29 11:33 被阅读0次

    talib底层用C编写,计算速度非常快,底层有优化。

    调用路径:【julia】->《PyCall》->【python】->《Cython/Cpython》->【Ta-lib】

    提示:

    LLV(C,N) 与 MIN(C,N),HHV(C,N)与MAX(C,N)的区别:
    MIN:前面的个数不足N时,返回空值。依据通达信函数库。
    LLV:前面的个数不足N时,前面有几个取几个值进行判断 
    
    HHV,MAX同理。
    

    一、ta-lib的官网

    https://ta-lib.org/

    二、包简介

    TaLib是一个Python金融指数处理库。包含了很多技术分析里的常用参数指标,例如MA、SMA、WMA、MACD、ATR等。

    三、包的安装

    先得有python环境
    python版的ta-lib安装(略)

    四、julia调用ta-lib包

    # 调取ta-lib
    using PyCall
    ta = pyimport("talib")
    println("okk!!!")
    

    五、使用ta-lib函数

    5.1获取所有的函数

    #获取所有的函数
    fns = ta.get_functions()
    fns .|> println
    

    结果

    HT_DCPERIOD
    HT_DCPHASE
    HT_PHASOR
    HT_SINE
    HT_TRENDMODE
    ADD
    DIV
    MAX
    MAXINDEX
    MIN
    MININDEX
    MINMAX
    MINMAXINDEX
    MULT
    SUB
    SUM
    ACOS
    ASIN
    ATAN
    CEIL
    COS
    COSH
    EXP
    FLOOR
    LN
    LOG10
    SIN
    SINH
    SQRT
    TAN
    TANH
    ADX
    ADXR
    APO
    AROON
    AROONOSC
    BOP
    CCI
    CMO
    DX
    MACD
    MACDEXT
    MACDFIX
    MFI
    MINUS_DI
    MINUS_DM
    MOM
    PLUS_DI
    PLUS_DM
    PPO
    ROC
    ROCP
    ROCR
    ROCR100
    RSI
    STOCH
    STOCHF
    STOCHRSI
    TRIX
    ULTOSC
    WILLR
    BBANDS
    DEMA
    EMA
    HT_TRENDLINE
    KAMA
    MA
    MAMA
    MAVP
    MIDPOINT
    MIDPRICE
    SAR
    SAREXT
    SMA
    T3
    TEMA
    TRIMA
    WMA
    CDL2CROWS
    CDL3BLACKCROWS
    CDL3INSIDE
    CDL3LINESTRIKE
    CDL3OUTSIDE
    CDL3STARSINSOUTH
    CDL3WHITESOLDIERS
    CDLABANDONEDBABY
    CDLADVANCEBLOCK
    CDLBELTHOLD
    CDLBREAKAWAY
    CDLCLOSINGMARUBOZU
    CDLCONCEALBABYSWALL
    CDLCOUNTERATTACK
    CDLDARKCLOUDCOVER
    CDLDOJI
    CDLDOJISTAR
    CDLDRAGONFLYDOJI
    CDLENGULFING
    CDLEVENINGDOJISTAR
    CDLEVENINGSTAR
    CDLGAPSIDESIDEWHITE
    CDLGRAVESTONEDOJI
    CDLHAMMER
    CDLHANGINGMAN
    CDLHARAMI
    CDLHARAMICROSS
    CDLHIGHWAVE
    CDLHIKKAKE
    CDLHIKKAKEMOD
    CDLHOMINGPIGEON
    CDLIDENTICAL3CROWS
    CDLINNECK
    CDLINVERTEDHAMMER
    CDLKICKING
    CDLKICKINGBYLENGTH
    CDLLADDERBOTTOM
    CDLLONGLEGGEDDOJI
    CDLLONGLINE
    CDLMARUBOZU
    CDLMATCHINGLOW
    CDLMATHOLD
    CDLMORNINGDOJISTAR
    CDLMORNINGSTAR
    CDLONNECK
    CDLPIERCING
    CDLRICKSHAWMAN
    CDLRISEFALL3METHODS
    CDLSEPARATINGLINES
    CDLSHOOTINGSTAR
    CDLSHORTLINE
    CDLSPINNINGTOP
    CDLSTALLEDPATTERN
    CDLSTICKSANDWICH
    CDLTAKURI
    CDLTASUKIGAP
    CDLTHRUSTING
    CDLTRISTAR
    CDLUNIQUE3RIVER
    CDLUPSIDEGAP2CROWS
    CDLXSIDEGAP3METHODS
    AVGPRICE
    MEDPRICE
    TYPPRICE
    WCLPRICE
    BETA
    CORREL
    LINEARREG
    LINEARREG_ANGLE
    LINEARREG_INTERCEPT
    LINEARREG_SLOPE
    STDDEV
    TSF
    VAR
    ATR
    NATR
    TRANGE
    AD
    ADOSC
    OBV
    

    5.2 获取按功能分类后的函数列表

    #按功能种类获取函数
    dt = ta.get_function_groups()
    
    for (k,v) in dt
        println("====$(k)====")
        v .|> println
    end
    

    结果

    ====Price Transform====
    AVGPRICE
    MEDPRICE
    TYPPRICE
    WCLPRICE
    ====Momentum Indicators====
    ADX
    ADXR
    APO
    AROON
    AROONOSC
    BOP
    CCI
    CMO
    DX
    MACD
    MACDEXT
    MACDFIX
    MFI
    MINUS_DI
    MINUS_DM
    MOM
    PLUS_DI
    PLUS_DM
    PPO
    ROC
    ROCP
    ROCR
    ROCR100
    RSI
    STOCH
    STOCHF
    STOCHRSI
    TRIX
    ULTOSC
    WILLR
    ====Statistic Functions====
    BETA
    CORREL
    LINEARREG
    LINEARREG_ANGLE
    LINEARREG_INTERCEPT
    LINEARREG_SLOPE
    STDDEV
    TSF
    VAR
    ====Overlap Studies====
    BBANDS
    DEMA
    EMA
    HT_TRENDLINE
    KAMA
    MA
    MAMA
    MAVP
    MIDPOINT
    MIDPRICE
    SAR
    SAREXT
    SMA
    T3
    TEMA
    TRIMA
    WMA
    ====Volatility Indicators====
    ATR
    NATR
    TRANGE
    ====Cycle Indicators====
    HT_DCPERIOD
    HT_DCPHASE
    HT_PHASOR
    HT_SINE
    HT_TRENDMODE
    ====Math Transform====
    ACOS
    ASIN
    ATAN
    CEIL
    COS
    COSH
    EXP
    FLOOR
    LN
    LOG10
    SIN
    SINH
    SQRT
    TAN
    TANH
    ====Pattern Recognition====
    CDL2CROWS
    CDL3BLACKCROWS
    CDL3INSIDE
    CDL3LINESTRIKE
    CDL3OUTSIDE
    CDL3STARSINSOUTH
    CDL3WHITESOLDIERS
    CDLABANDONEDBABY
    CDLADVANCEBLOCK
    CDLBELTHOLD
    CDLBREAKAWAY
    CDLCLOSINGMARUBOZU
    CDLCONCEALBABYSWALL
    CDLCOUNTERATTACK
    CDLDARKCLOUDCOVER
    CDLDOJI
    CDLDOJISTAR
    CDLDRAGONFLYDOJI
    CDLENGULFING
    CDLEVENINGDOJISTAR
    CDLEVENINGSTAR
    CDLGAPSIDESIDEWHITE
    CDLGRAVESTONEDOJI
    CDLHAMMER
    CDLHANGINGMAN
    CDLHARAMI
    CDLHARAMICROSS
    CDLHIGHWAVE
    CDLHIKKAKE
    CDLHIKKAKEMOD
    CDLHOMINGPIGEON
    CDLIDENTICAL3CROWS
    CDLINNECK
    CDLINVERTEDHAMMER
    CDLKICKING
    CDLKICKINGBYLENGTH
    CDLLADDERBOTTOM
    CDLLONGLEGGEDDOJI
    CDLLONGLINE
    CDLMARUBOZU
    CDLMATCHINGLOW
    CDLMATHOLD
    CDLMORNINGDOJISTAR
    CDLMORNINGSTAR
    CDLONNECK
    CDLPIERCING
    CDLRICKSHAWMAN
    CDLRISEFALL3METHODS
    CDLSEPARATINGLINES
    CDLSHOOTINGSTAR
    CDLSHORTLINE
    CDLSPINNINGTOP
    CDLSTALLEDPATTERN
    CDLSTICKSANDWICH
    CDLTAKURI
    CDLTASUKIGAP
    CDLTHRUSTING
    CDLTRISTAR
    CDLUNIQUE3RIVER
    CDLUPSIDEGAP2CROWS
    CDLXSIDEGAP3METHODS
    ====Volume Indicators====
    AD
    ADOSC
    OBV
    ====Math Operators====
    ADD
    DIV
    MAX
    MAXINDEX
    MIN
    MININDEX
    MINMAX
    MINMAXINDEX
    MULT
    SUB
    SUM
    

    5.3 查看函数的用法

    ? ta.MA
    

    结果

     MA(real[, timeperiod=?, matype=?])
    
        Moving average (Overlap Studies)
    
        Inputs:
            real: (any ndarray)
        Parameters:
            timeperiod: 30
            matype: 0 (Simple Moving Average)
        Outputs:
            real
    

    5.4 计算5日均线

    using DataFrames
    df = DataFrame()
    df.price = [float(x) for x in 1:100]
    df.ma5 = ta.MA(df.price,5)
    df |> display
    

    结果

    100 rows × 2 columns
    
    price   ma5
    Float64 Float64
    1   1.0     NaN
    2   2.0     NaN
    3   3.0     NaN
    4   4.0     NaN
    5   5.0     3.0
    6   6.0     4.0
    7   7.0     5.0
    8   8.0     6.0
    9   9.0     7.0
    10  10.0    8.0
    11  11.0    9.0
    12  12.0    10.0
    13  13.0    11.0
    14  14.0    12.0
    15  15.0    13.0
    16  16.0    14.0
    17  17.0    15.0
    18  18.0    16.0
    19  19.0    17.0
    20  20.0    18.0
    21  21.0    19.0
    22  22.0    20.0
    23  23.0    21.0
    24  24.0    22.0
    25  25.0    23.0
    26  26.0    24.0
    27  27.0    25.0
    28  28.0    26.0
    29  29.0    27.0
    30  30.0    28.0
    ⋮    ⋮       ⋮
    
    

    相关文章

      网友评论

          本文标题:julia环境下——k线【技术指标】-【ta-lib】包的学习记

          本文链接:https://www.haomeiwen.com/subject/dfidsktx.html