LazyBear

Indicator: Schaff Trend Cycle (STC)

Another new indicator for TV community :)

STC detects up and down trends long before the MACD . It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD .

More info: http://www.investopedia.com/articles/for...

Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC ).



For people trading BTC:
-------------------------------

Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)

List of my free indicators: http://bit.ly/1LQaPK8
List of my indicators at Appstore: http://blog.tradingview.com/?p=970
开源脚本

本着真正的TradingView精神,该脚本的作者将其开源发布,以便交易者可以理解和验证它。为作者喝彩!您可以免费使用它,但在出版物中重复使用此代码受网站规则的约束。 您可以收藏它以在图表上使用。

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、交易或其他类型的意见或建议。请在使用条款阅读更多信息。

想在图表上使用此脚本?
//
// @author LazyBear
// If you use modify / use this code, appreciate if you could drop me a note. 
// 
study(title="Schaff Trend Cycle [LazyBear]", shorttitle="STC_LB", overlay=true)
length=input(10)
fastLength=input(23)
slowLength=input(50)
macd(source, fastLength, slowLength) =>
    fastMA = ema(source, fastLength)
    slowMA = ema(source, slowLength)
    macd = fastMA - slowMA
    macd
    

stc(length, fastLength, slowLength) => 
    factor=input(0.5)  
    m = macd(close,fastLength,slowLength)     
    v1 = lowest(m, length)
    v2 = highest(m, length) - v1    
    f1 = (v2 > 0 ? ((m - v1) / v2) * 100 : nz(f1[1])) 
    pf = (na(pf[1]) ? f1 : pf[1] + (factor * (f1 - pf[1]))) 
    v3 = lowest(pf, length) 
    v4 = highest(pf, length) - v3     
    f2 = (v4 > 0 ? ((pf - v3) / v4) * 100 : nz(f2[1])) 
    pff = (na(pff[1]) ? f2 : pff[1] + (factor * (f2 - pff[1])))
    pff

plot(stc(length,fastLength,slowLength),color=red, title="Schaff_TC")
//
// Uncomment the lines below if you want the center region
//
// ul=plot(25)
// ll=plot(75) 
// fill(ul,ll,color=red)