松树脚本v5，EMA云和警报

Question

试着在这里学习松树剧本来优化我的交易策略。我有大约1.5年的交易经验。我使用的流行系统是万能的Ripster云。它是基于几个EMA移动，并制造一个云(如一木木云)，并发现趋势逆转。我将链接粘贴下面的代码。

我苦苦挣扎的是添加警告和箭头，指向趋势逆转的起点和终点。

Bull =当EMA云2越过EMA云3时

当EMA云3在EMA云3下穿越时，Bear =。

我还想要一个变量，说明它所基于的时间框架。我的建议是3分钟，10分钟，1小时，1天和1周。

如果有人可以指点我的方向来寻求帮助，或者在评论中帮助我，我们会非常感激的。

当然，代码是免费的。

云层变化的截图。云2= 5-13 EMA交叉，云3= 34-50 EMA交叉

这里是描述EMA云的视频。视频在这里

干杯,

//@version=5

indicator("TwntySQ EMA Clouds - modified version of Ripster47 EMA clouds", shorttitle="TQ", overlay=true)

matype = input.string(title='MA Type', defval='EMA', options=['EMA', 'SMA'])



ma_len1 = input(title='Short EMA1 Length', defval=8)

ma_len2 = input(title='Long EMA1 Length', defval=9)

ma_len3 = input(title='Short EMA2 Length', defval=5)

ma_len4 = input(title='Long EMA2 Length', defval=13)

ma_len5 = input(title='Short EMA3 Length', defval=34)

ma_len6 = input(title='Long EMA3 Length', defval=50)

ma_len7 = input(title='Short EMA4 Length', defval=72)

ma_len8 = input(title='Long EMA4 Length', defval=89)

ma_len9 = input(title='Short EMA5 Length', defval=180)

ma_len10 = input(title='Long EMA5 Length', defval=200)



src = input(title='Source', defval=hl2)

ma_offset = input(title='Offset', defval=0)

//res = input(title="Resolution", type=resolution, defval="240")



f_ma(malen) =>

float result = 0

if matype == 'EMA'

result := ta.ema(src, malen)

result

if matype == 'SMA'

result := ta.sma(src, malen)

result

result



htf_ma1 = f_ma(ma_len1)

htf_ma2 = f_ma(ma_len2)

htf_ma3 = f_ma(ma_len3)

htf_ma4 = f_ma(ma_len4)

htf_ma5 = f_ma(ma_len5)

htf_ma6 = f_ma(ma_len6)

htf_ma7 = f_ma(ma_len7)

htf_ma8 = f_ma(ma_len8)

htf_ma9 = f_ma(ma_len9)

htf_ma10 = f_ma(ma_len10)



//plot(out1, color=green, offset=ma_offset)

//plot(out2, color=red, offset=ma_offset)



//lengthshort = input(8, minval = 1, title = "Short EMA Length")

//lengthlong = input(200, minval = 2, title = "Long EMA Length")

//emacloudleading = input(50, minval = 0, title = "Leading Period For EMA Cloud")

//src = input(hl2, title = "Source")

showlong = input(false, title='Show Long Alerts')

showshort = input(false, title='Show Short Alerts')

showLine = input(false, title='Display EMA Line')

ema1 = input(true, title='Show EMA Cloud-1')

ema2 = input(true, title='Show EMA Cloud-2')

ema3 = input(true, title='Show EMA Cloud-3')

ema4 = input(true, title='Show EMA Cloud-4')

ema5 = input(true, title='Show EMA Cloud-5')



emacloudleading = input.int(0, minval=0, title='Leading Period For EMA Cloud')

mashort1 = htf_ma1

malong1 = htf_ma2

mashort2 = htf_ma3

malong2 = htf_ma4

mashort3 = htf_ma5

malong3 = htf_ma6

mashort4 = htf_ma7

malong4 = htf_ma8

mashort5 = htf_ma9

malong5 = htf_ma10



cloudcolour1 = mashort1 >= malong1 ? #036103 : #880e4f

cloudcolour2 = mashort2 >= malong2 ? #4caf50 : #f44336

cloudcolour3 = mashort3 >= malong3 ? #2196f3 : #ffb74d

cloudcolour4 = mashort4 >= malong4 ? #009688 : #f06292

cloudcolour5 = mashort5 >= malong5 ? #05bed5 : #e65100

//03abc1



mashortcolor1 = mashort1 >= mashort1[1] ? color.olive : color.maroon

mashortcolor2 = mashort2 >= mashort2[1] ? color.olive : color.maroon

mashortcolor3 = mashort3 >= mashort3[1] ? color.olive : color.maroon

mashortcolor4 = mashort4 >= mashort4[1] ? color.olive : color.maroon

mashortcolor5 = mashort5 >= mashort5[1] ? color.olive : color.maroon





mashortline1 = plot(ema1 ? mashort1 : na, color=showLine ? mashortcolor1 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA1')

mashortline2 = plot(ema2 ? mashort2 : na, color=showLine ? mashortcolor2 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA2')

mashortline3 = plot(ema3 ? mashort3 : na, color=showLine ? mashortcolor3 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA3')

mashortline4 = plot(ema4 ? mashort4 : na, color=showLine ? mashortcolor4 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA4')

mashortline5 = plot(ema5 ? mashort5 : na, color=showLine ? mashortcolor5 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA5')



malongcolor1 = malong1 >= malong1[1] ? color.green : color.red

malongcolor2 = malong2 >= malong2[1] ? color.green : color.red

malongcolor3 = malong3 >= malong3[1] ? color.green : color.red

malongcolor4 = malong4 >= malong4[1] ? color.green : color.red

malongcolor5 = malong5 >= malong5[1] ? color.green : color.red



malongline1 = plot(ema1 ? malong1 : na, color=showLine ? malongcolor1 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA1')

malongline2 = plot(ema2 ? malong2 : na, color=showLine ? malongcolor2 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA2')

malongline3 = plot(ema3 ? malong3 : na, color=showLine ? malongcolor3 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA3')

malongline4 = plot(ema4 ? malong4 : na, color=showLine ? malongcolor4 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA4')

malongline5 = plot(ema5 ? malong5 : na, color=showLine ? malongcolor5 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA5')



fill(mashortline1, malongline1, color=cloudcolour1, title='MA Cloud1', transp=45)

fill(mashortline2, malongline2, color=cloudcolour2, title='MA Cloud2', transp=65)

fill(mashortline3, malongline3, color=cloudcolour3, title='MA Cloud3', transp=70)

fill(mashortline4, malongline4, color=cloudcolour4, title='MA Cloud4', transp=65)

fill(mashortline5, malongline5, color=cloudcolour5, title='MA Cloud5', transp=65)

Answer 1

有几种方法，你可以计算这些云的交叉或交叉从TA的角度。

首先是等待整个云2跨云3；这可以通过使用每个云中较慢的MAs的交叉来实现。

bull_signal = ta.crossover(htf_ma4, htf_ma6)
bear_signal = ta.crossunder(htf_ma4, htf_ma6)

第二，当云层开始交叉或低于时，就会得到交叉信号。在这种情况下，您可以在每个云中使用速度更快的MAs。

bull_signal = ta.crossover(htf_ma3, htf_ma5)
bear_signal = ta.crossunder(htf_ma3, htf_ma5)

另一种选择是获取每个云的平均点，并将其用于交叉信号。

cloud2_avg = math.avg(htf_ma3, htf_ma4)
cloud3_avg = math.avg(htf_ma5, htf_ma6)

bull_signal = ta.crossover(cloud2_avg , cloud3_avg)
bear_signal = ta.crossunder(cloud2_avg, cloud3_avg)

最后，要存储正在使用的时间框架，可以使用内置的timeframe.period。

因此：

res = timeframe.period