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/forex/10/schaff-trend-cycle-indicator.asp

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:

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

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/forex/10/schaff-trend-cycle-indicator.asp

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. :)

// // @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)

List of my free indicators: http://bit.ly/1LQaPK8

List of my indicators at Appstore: http://blog.tradingview.com/?p=970

List of my indicators at Appstore: http://blog.tradingview.com/?p=970

You can also use this indicator in its own pane (by unmerging down), as shown above.

If you do that, I suggest enabling the center region. Open the source code and uncomment these lines. Press Save and voila!

//

// ul=plot(25)

// ll=plot(75)

// fill(ul,ll,color=red)

//

This indicator gives an error:

line 33:3 mismatched input 'ul' expecting LEND

Did you make any changes?

In other words, it is a carbon copy of the original.

Can you post the exact src code that is giving u this issue?

// @author LazyBear

// If you use modify / use this code, appreciate if you could drop me a note.

//

study(title="Schaff Trend Cycle ", 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))

pf = (na(pf) ? f1 : pf + (factor * (f1 - pf)))

v3 = lowest(pf, length)

v4 = highest(pf, length) - v3

f2 = (v4 > 0 ? ((pf - v3) / v4) * 100 : nz(f2))

pff = (na(pff) ? f2 : pff + (factor * (f2 - pff)))

pff

plot(stc(length,fastLength,slowLength),color=red, title="Schaff_TC")

//

// Uncomment the lines below if you want the center region

//

ul = plot(open)

ll = plot(75)

fill(uline, ll, color=red)

Note: I changed the plot(25) to open but that was just a debugging effort. I forgot to revert it before copy and pasting the code.

Thanks LazyBear for this!!!

STC uses a fast Stochastics formula that includes the original %fastK and a smoothed variation of the %fastD. It runs this modified stochastic twice. Step1 runs it on MACD. Generated %fastD is the input for step2. Output of step2 (STC) is actually a %fastD of %fastD.

Smoothing constant ("factor"), MACD fastLength/slowLengths are all exposed for customization via the options page.

-------------------------------

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

Appreciate your efforts.