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社区首页 >专栏 >我注册了chatGPT问了两个问题之后,彻底服了!!!

我注册了chatGPT问了两个问题之后,彻底服了!!!

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项勇
发布2023-03-24 13:57:09
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发布2023-03-24 13:57:09
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文章被收录于专栏:项勇

问:

代码语言:javascript
复制
//inputs 
ADX_options = input.string('MASANAKAMURA', title='  ADX Option', options=['CLASSIC', 'MASANAKAMURA'], group='ADX')
ADX_len = input.int(12, title='  ADX Lenght', minval=1, group='ADX')
th = input.float(14, title='  ADX Treshold', minval=0, step=0.5, group='ADX')

// calc
calcADX(_len) =>
    up = ta.change(high)
    down = -ta.change(low)
    plusDM = na(up) ? na : up > down and up > 0 ? up : 0
    minusDM = na(down) ? na : down > up and down > 0 ? down : 0
    truerange = ta.rma(ta.tr, _len)
    _plus = fixnan(100 * ta.rma(plusDM, _len) / truerange)
    _minus = fixnan(100 * ta.rma(minusDM, _len) / truerange)
    sum = _plus + _minus
    _adx = 100 * ta.rma(math.abs(_plus - _minus) / (sum == 0 ? 1 : sum), _len)
    [_plus, _minus, _adx]
calcADX_Masanakamura(_len) =>
    SmoothedTrueRange = 0.0
    SmoothedDirectionalMovementPlus = 0.0
    SmoothedDirectionalMovementMinus = 0.0
    TrueRange = math.max(math.max(high - low, math.abs(high - nz(close[1]))), math.abs(low - nz(close[1])))
    DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? math.max(high - nz(high[1]), 0) : 0
    DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? math.max(nz(low[1]) - low, 0) : 0
    SmoothedTrueRange := nz(SmoothedTrueRange[1]) - nz(SmoothedTrueRange[1]) / _len + TrueRange
    SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - nz(SmoothedDirectionalMovementPlus[1]) / _len + DirectionalMovementPlus
    SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - nz(SmoothedDirectionalMovementMinus[1]) / _len + DirectionalMovementMinus
    DIP = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
    DIM = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
    DX = math.abs(DIP - DIM) / (DIP + DIM) * 100
    adx = ta.sma(DX, _len)
    [DIP, DIM, adx]
[DIPlusC, DIMinusC, ADXC] = calcADX(ADX_len)
[DIPlusM, DIMinusM, ADXM] = calcADX_Masanakamura(ADX_len)

DIPlus = ADX_options == 'CLASSIC' ? DIPlusC : DIPlusM
DIMinus = ADX_options == 'CLASSIC' ? DIMinusC : DIMinusM
ADX = ADX_options == 'CLASSIC' ? ADXC : ADXM

// condt
L_adx = DIPlus > DIMinus and ADX > th
S_adx = DIPlus < DIMinus and ADX > th

答:

问:

答:

不过我对比代码发现其实也没改什么

总之:

妈妈再也不用担心我的学习了。

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原始发表:2022-12-09,如有侵权请联系 cloudcommunity@tencent.com 删除

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