안녕하세요 예스스탁입니다. 문의하신 내용은 작성해 보는데 시간이 많이 소모됩니다. 업무상 일정시간이상 요구되는 내용은 답변을 드리기 어렵습니다. 도움을 드리지 못해 죄송합니다. 즐거운 하루되세요 > 영희훈 님이 쓴 글입니다. > 제목 : 수식 부탁드립니다. > 항상 도움주셔서 감사합니다. 트레이딩뷰에 있는 선행예상지표입니다. 예스트레이더 지표수식과 종목검색 부탁드립니다. // This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ // &#169; LuxAlgo //@version=5 indicator("Echo Forecast [LuxAlgo]","LuxAlgo - ECHO", overlay = true, max_bars_back = 1000, max_lines_count = 200) //-----------------------------------------------------------------------------} //Settings //-----------------------------------------------------------------------------{ length = input.int(50, 'Evaluation Window', minval = 0, maxval = 200) fcast = input.int(50, 'Forecast Window', minval = 1, maxval = 200) fmode = input.string('Similarity', 'Forecast Mode', options = ['Similarity','Dissimilarity']) cmode = input.string('Cumulative', 'Forecast Construction', options = ['Cumulative','Mean','Linreg']) src = input(close) //Style fcastCss = input(#2157f3, 'Forecast Style', inline = 'fcast_style', group = 'Style') fcastStyle = input.string('· · ·', '', options = ['──','- - -','· · ·'], inline = 'fcast_style', group = 'Style') showArea = input(true,'Show Area', inline = 'areas', group = 'Style') refArea = input(color.new(#ff5d00, 80), '', inline = 'areas', group = 'Style') corrArea = input(color.new(#089981, 80), '', inline = 'areas', group = 'Style') evalArea = input(color.new(color.gray, 80),'', inline = 'areas', group = 'Style') //-----------------------------------------------------------------------------} //Populate line arrays //-----------------------------------------------------------------------------{ var lines = array.new_line(0) if barstate.isfirst for i = 0 to fcast-1 array.push(lines,line.new(na,na,na,na , style = fcastStyle == '- - -' ? line.style_dashed : fcastStyle == '· · ·' ? line.style_dotted : line.style_solid , color = fcastCss)) //-----------------------------------------------------------------------------} //Calculations //-----------------------------------------------------------------------------{ var eval_window = box.new(na,na,na,na,na, bgcolor = evalArea) var ref_window = box.new(na,na,na,na,na, bgcolor = refArea) var corr_window = box.new(na,na,na,na,na, bgcolor = corrArea) n = bar_index d = src - src[1] //Get range maximum/minimum top = ta.highest(src, length + fcast * 2) btm = ta.lowest(src, length + fcast * 2) //Set forecast if barstate.islast k = 0 float val = na A = array.new_float(0) //Calculation window X = array.new_int(0) //Linreg independant variable //Populate calculation window for i = 0 to fcast*2+length A.push(src[i]) //Populate independant variable array if cmode == 'Linreg' X.push(n[i]) a = A.slice(0, fcast-1) //Reference window //Find window to produce forecast for i = 0 to length-1 b = A.slice(fcast + i, fcast * 2 + i - 1) //Evaluation window r = a.covariance(b) / (a.stdev() * b.stdev()) //Correlation //Maximization or minimization problem if fmode == 'Similarity' val := r >= nz(val, r) ? r : val else val := r <= nz(val, r) ? r : val k := val == r ? i : k //Set ECHO prev = src current = src for i = 0 to fcast-1 e = d[fcast + k + (fcast-i-1)] //Get forecast point if cmode == 'Mean' current := array.avg(a) + e else if cmode == 'Linreg' a = A.slice(0, fcast) x = X.slice(0, fcast) alpha = a.covariance(x) / x.variance() beta = a.avg() - alpha * x.avg() current := alpha * (n + i + 1) + beta + e else current += e l = lines.get(i) l.set_xy1(n+i, prev) l.set_xy2(n+i+1, current) prev := current //Set areas if showArea //Evaluation window eval_window.set_lefttop(n-length-fcast*2+1, top) eval_window.set_rightbottom(n-fcast+1, btm) //Reference window ref_window.set_lefttop(n-fcast+1, top) ref_window.set_rightbottom(n, btm) //Correlation window corr_window.set_lefttop(n-k-fcast*2+1, top) corr_window.set_rightbottom(n-k-fcast, btm) //-----------------------------------------------------------------------------} 부탁드립니다.