Pratheevan

Faadoo Stocks

//Buy Sell By Faadoo Stocks
study("Faadoo Stocks", "TZ", overlay=true)

//inputs
h_left = input(title="H left", type=integer, defval=9)
h_right = input(title="H right", type=integer, defval=9)
sample_period = input(title="Sample bars for % TZ", type=integer, defval=6000)
show_ptz = input(title="Show PTZ", type=bool, defval=true)
show_channel = input(title="Show channel", type=bool, defval=true)

//barCount = nz(barCount) + 1
//check history and realtime PTZ
h_left_low = lowest(h_left)
h_left_high = highest(h_left)
newlow = low <= h_left_low
newhigh = high >= h_left_high
plotshape(newlow and show_ptz, style=shape.triangledown, location=location.belowbar, color=red)
plotshape(newhigh and show_ptz, style=shape.triangleup, location=location.abovebar, color=green)
channel_high = plot(show_channel ? h_left_low : 0, color=silver)
channel_low = plot (show_channel ? h_left_high : 0, color=silver)

//check true TZ back in history
central_bar_low = low
central_bar_high = high
full_zone_low = lowest(h_left + h_right + 1)
full_zone_high = highest(h_left + h_right + 1)
central_bar_is_highest = central_bar_high >= full_zone_high
central_bar_is_lowest = central_bar_low <= full_zone_low
plotarrow(central_bar_is_highest ? -1 : 0, offset=-h_right-1)
plotarrow(central_bar_is_lowest ? 1 : 0, offset=-h_right-1)

//TZ probability calc
x = central_bar_is_highest ? 1 : 0
high_bar_tz_count = cum(x)

y = central_bar_is_lowest ? 1 : 0
low_bar_tz_count = cum(y)

total_tz = high_bar_tz_count + low_bar_tz_count
percent_tz_high = (high_bar_tz_count / sample_period) * 100
//plot(percent_tz_high, color = lime, transp=100)
percent_tz_low = (low_bar_tz_count / sample_period) * 100
//plot(low_bar_tz_count, color=red, transp=100)
percent_total_tz = (percent_tz_high + percent_tz_low)
plot(percent_total_tz, color=black, transp=100)

//PTZ probability calc
i = newhigh ? 1 : 0
high_bar_ptz_count = cum(i)

j = newlow ? 1 : 0
low_bar_ptz_count = cum(j)

total_ptz = high_bar_ptz_count + low_bar_ptz_count
percent_ptz_high = (high_bar_ptz_count / sample_period) * 100
//plot(percent_ptz_high, color=green, transp=100)
percent_ptz_low = (low_bar_ptz_count / sample_period) * 100
//plot(percent_ptz_low, color=maroon, transp=100)
percent_total_ptz = (percent_ptz_high + percent_ptz_low)
plot(percent_total_ptz, color=navy, transp=100)

//PTZ resolving probability calc
percent_ptz_resolved = (1 - (total_tz / total_ptz)) * 100
plot(percent_ptz_resolved, color=gray, transp=100)
仅限邀请脚本

仅限作者授权的用户访问此脚本,并且通常需要付费。您可以将其添加到收藏中,但是只有在向作者请求并获得许可之后,才能使用它。 请与Pratheevan联系以获取更多信息,或按照以下作者的说明进行操作。

在您100%信任脚本作者并了解脚本的工作原理之前,TradingView不建议您购买脚本并使用它。在很多情况下,您可以在我们的公共指标库中免费找到一个不错的开源替代品。

免责声明

这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。

想在图表上使用此脚本?

警告:请阅读,然后再请求访问权限。