forexpirate

JPY GBP ROCs

Rate of change of most volatile JPY and GBP pairs. All pairs ending in JPY are red except GBPJPY (colored yellow --currently most volatile 7/2016). GBPNZD is blue, the other GBP pairs are green, lime and teal. GBPJPY and GBPNZD are my favorite day trading / swing trading pairs. This script allows me to see the action of the most volatile and liquid pairs on one screen. JPY pairs (ex-GBPJPY) are all red so that I see the flow of JPY not so much each pair and its name. Global movement of JPY is what I am after. Same for the coloring of GBP pairs as green expect GBPNZD as blue. ***** EURGBP is plotted as an opposite (with a negative in front of its sma . EURGBP is extremely correlated to GBPNZD , I decided to plot it also.
오픈 소스 스크립트

진정한 TradingView의 정신에 따라, 이 스크립트의 작성자는 스크립트를 오픈소스로 게시했기에 거래자들이 이해하고 확인할 수 있습니다. 작가님께 건배! 스크립트를 무료로 사용할 수 있지만, 게시물에서 이 코드를 재사용하는 것은 하우스룰을 따릅니다. 당신은 스크립트를 차트에 사용하기 위해 그것을 즐겨찾기 할 수 있습니다.

차트에 이 스크립트를 사용하시겠습니까?
//@version=2
study(title="JPY GBP ROCs", shorttitle="JPY GBP ROCs")

l=input(defval=34)
s = input(title="Smoother length", type=integer,defval=12, minval=1)

p0 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpaud")
p1 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpnzd")
p2 = input(title="Other data series", type=symbol,defval="FX_IDC:gbptry")
p3 = input(title="Other data series", type=symbol,defval="FX_IDC:eurgbp")
p4 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpcad")
p5 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpchf") 
p6 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpjpy")
p7 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpsgd")
p8 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpusd")
p9 = input(title="Other data series", type=symbol,defval="FX_IDC:chfjpy")
p10 = input(title="Other data series", type=symbol,defval="FX_IDC:eurjpy")
p11 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpnok")
p12 = input(title="Other data series", type=symbol,defval="FX_IDC:nzdjpy")
p13 = input(title="Other data series", type=symbol,defval="FX_IDC:audjpy")
p14 = input(title="Other data series", type=symbol,defval="FX_IDC:eurjpy")
p15 = input(title="Other data series", type=symbol,defval="FX_IDC:usdjpy")
p16 = input(title="Other data series", type=symbol,defval="FX_IDC:chfjpy")
s0= security(p0, period, close)
s1= security(p1, period, close)
s2= security(p2, period, close)
s3= security(p3, period, close)
s4= security(p4, period, close)
s5= security(p5, period, close)
s6= security(p6, period, close)
s7= security(p7, period, close)
s8= security(p8, period, close)
s9= security(p9, period, close)
s10= security(p10, period, close)
s11= security(p11, period, close)
s12= security(p12, period, close)
s13= security(p13, period, close)
s14= security(p14, period, close)
s15= security(p15, period, close)
s16= security(p16, period, close)
corr0 = correlation(close, s0, l)
corr1 = correlation(close, s1, l)
corr2 = correlation(close, s2, l)
corr3 = correlation(close, s3, l)
corr4 = correlation(close, s4, l)
corr5 = correlation(close, s5, l)
corr6 = correlation(close, s6, l)
corr7 = correlation(close, s7, l)
corr8 = correlation(close, s8, l)
corr9 = correlation(close, s9, l)
corr10 = correlation(close, s10, l)
corr11 = correlation(close, s11, l)
corr12 = correlation(close, s12, l)
corr13 = correlation(close, s13, l)
corr14 = correlation(close, s14, l)
corr15 = correlation(close, s15, l)
corr16 = correlation(close, s16, l)
r0 = roc(s0,l)
r1 = roc(s1,l)
r2 = roc(s2,l)
r3 = roc(s3,l)
r4 = roc(s4,l)
r5 = roc(s5,l)
r6 = roc(s6,l)
r7 = roc(s7,l)
r8 = roc(s8,l)
r9 = roc(s9,l)
r10 = roc(s10,l)
r11 = roc(s11,l)
r12 = roc(s12,l)
r13 = roc(s13,l)
r14 = roc(s14,l)
r15 = roc(s15,l)
r16 = roc(s16,l)

plot(sma(r7,s),color=lime,transp=0,title="GS",editable=true)
plot(sma(r0,s),color=green,transp=0,title="GA",editable=true)
plot(sma(r15,s),color=red,transp=0,title="UJ",editable=true)
plot(sma(r13,s),color=red,transp=0,title="AJ",editable=true)
plot(sma(r14,s),color=red,transp=0,title="EJ",editable=true)
plot(-sma(r3,s),color=aqua,transp=0,title="-EG",editable=true)
plot(sma(r1,s),color=blue,transp=0,title="GN",editable=true)
plot(sma(r6,s),color=yellow,transp=0,title="GJ",editable=true,linewidth=2)
plot(sma(r16,s),color=red,transp=0,title="CJ",editable=true)
plot(sma(r12,s),color=red,transp=0,title="NJ",editable=true)
hline(0,color=silver,linewidth=1,editable=true)

코멘트

Do you prefer this one to your Combined Slopes?
응답
When I am doing day trading on 1-2min chart in the London-NY session I find this indicator better as it shows the ROCs individually. The one I actually use is this one but with only three or four ROCs on. GBPJPY GBPNZD and -EURGBP. The first two are the most volatile and I get in and out (hour or two) with 50-80 pips. For longer swing trading I use the combined slope on 15min chart. ** When day trading those high volatile ones I have been MOST successful trading in the direction of the larger HR and D chart trend and keeping an eye out for economic releases, they can turn your trade upside down. GBP has been dropping nicely for months which gives good odds of short positions.
응답
홈으로 스탁 스크리너 포렉스 스크리너 크립토 스크리너 이코노믹 캘린더 정보 차트 특징 프라이싱 프렌드 리퍼하기 하우스룰(내부규정) 헬프 센터 웹사이트 & 브로커 솔루션 위젯 차팅 솔루션 라이트웨이트 차팅 라이브러리 블로그 & 뉴스 트위터