항상노고에 감사드리며 타주기분봉으로 할수있게 부탁드립니다 input : length(20),hh(8),mult(3); var : k(2),src(0),n(0),sume(0),i(0),j(0),y2(0),sum(0),sumw(0),w(0),mae(0); Var : tx1(0), tx2(0); src = Close; n = barindex; //if IsLastBar업데이트[영문으로는 쓰기금지라 한글로 씀] and barindex>length then //y = 0 sume = 0; for i = 0 to length-1 { sum = 0; sumw = 0; for j = 0 to length-1 { w = exp(-(pow(i-j,2)/(hh*hh*2))); sum = sum+src[j]*w; sumw = sumw+w; } y2 = sum/sumw; sume = sume+abs(src[i] - y2); } mae = sume/length*mult; if CrossDown(src,y2+mae) then { tx1 = Text_New_Self(sdate,stime,H,"▼"); Text_SetStyle(tx1,2,1); Text_SetColor(tx1,Cyan); Text_setsize(Tx1,15); } if CrossUp(src,y2-mae) then { tx2 = Text_New_Self(sdate,stime,L,"▲"); Text_SetStyle(tx2,2,0); Text_SetColor(tx2,Black); Text_setsize(Tx2,15); } Plot1(y2); Plot2(y2+mae); Plot3(y2-mae);

input : period(20),period1(60),avgperiod(3); var : a(0),b(0),aa(0),bb(0); input : TrigLen(13), FastX(34), SlowX(55); var : A1(0),xTrend(0), xFast(0), xSlow(0), xKVO(0), xTrigger(0); // KVO 계산 A1=(H+L+C)/3; xTrend = iff(A1 > A1[1], volume * 100, -volume * 100); xFast = ema(xTrend, FastX); xSlow = ema(xTrend, SlowX); xKVO = xFast - xSlow; xTrigger = ema(xKVO, TrigLen); A=LRL(C, period); B=MA(A, avgperiod)-MA(StdError(C, period),avgperiod); AA=LRL(C, period1); BB=MA(AA, avgperiod)-MA(StdError(C, period1),avgperiod); if B<BB && xKVO>xTrigger && (CROSSUP(C,B) OR CROSSUP(C,BB)) && C>O Then //if B>BB && xKVO>xTrigger && CROSSUP(C,B) && C>O Then Find(1); ============================================= 위가 검색기인데. 화살표를 만들어 주시고 이것은 검색에서 만들어야 하는지 여쭤봅니다. 감사합니다.

data1 data2 분봉에서 a. Data2(Highd(0)) b. Data2(DayHigh) a는 맞고, b는 잘못된걸로 알고 있습니다만, b가 a와 같은 값을 보이는것 같습니다. 전일이전 아닌 당일에서는 b로 사용해도 되나요?

해외 유튜브 [chart prime]에서 소개된 하기 내용을 다음 2가지로 부탁 드립니다. 1)Yes Language 지표로 변환 2)예스 트레이더 종목 검색 부탁 드립니다. =====하기==== Linear Regression Oscillator [ChartPrime] indicator("Linear Regression Oscillator [ChartPrime]", overlay=false, max_labels_count = 500) // ---------------------------------------------------------------------------------------------------------------------} // &#120400;&#120398;&#120384;&#120397; &#120388;&#120393;&#120395;&#120400;&#120399;&#120398; // ---------------------------------------------------------------------------------------------------------------------{ int length = input.int(20, "Length") float upper = input.float(1.5, "Upper Threshold", step = 0.1) float lower = input.float(-1.5, "Lower Threshold", step = 0.1) bool candles = input.bool(false, "Plot Bar Color") color col_up = #10cab8 color col_dn = color.blue // Source series float source = close[barstate.isconfirmed ? 0 : 1] // Max and Min prices for Invalidation Levels (period 5 bars back) var lowest = array.new<float>(5) var highest = array.new<float>(5) var series float points = na // ---------------------------------------------------------------------------------------------------------------------} // &#120388;&#120393;&#120383;&#120388;&#120382;&#120380;&#120399;&#120394;&#120397; &#120382;&#120380;&#120391;&#120382;&#120400;&#120391;&#120380;&#120399;&#120388;&#120394;&#120393;&#120398; // ---------------------------------------------------------------------------------------------------------------------{ //@function Calculation of slope and intercept //@param length LookBack Period //@returns Linear Regression Oscillator linear_regression_osc(int length)=> n = length sum_x = 0.0 sum_y = 0.0 sum_xy = 0.0 sum_x_squared = 0.0 for i = 0 to n - 1 sum_x := sum_x + i sum_y := sum_y + source[i] sum_xy := sum_xy + i * source[i] sum_x_squared := sum_x_squared + i * i m = (n * sum_xy - sum_x * sum_y) / (n * sum_x_squared - sum_x * sum_x) c = (sum_y - m * sum_x) / n linear_regression = ((m * bar_index + c)*-1) // Calculate linear regression Oscillator linear_regression = linear_regression_osc(length) // Normaliztion linear_regression := (linear_regression - ta.sma(linear_regression, 100)) / ta.stdev(linear_regression, 100) // Conditions of Mean Reversion and Trends cond1 = ta.crossunder(linear_regression, 0) cond2 = ta.crossover( linear_regression, 0) cond_1 = ta.crossunder(linear_regression, linear_regression[2]) and linear_regression > upper ? linear_regression[1] : na cond_2 = ta.crossover(linear_regression, linear_regression[2]) and linear_regression < lower ? linear_regression[1] : na // Invalidation Price Levels lowest. push(low) highest.push(high) switch lowest.size() > 5 => lowest.shift(), highest.shift() switch cond1 => points := highest.max() cond2 => points := lowest. min() // ---------------------------------------------------------------------------------------------------------------------} // &#120401;&#120388;&#120398;&#120400;&#120380;&#120391;&#120388;&#120405;&#120380;&#120399;&#120388;&#120394;&#120393; // ---------------------------------------------------------------------------------------------------------------------{ // Defined Colors color = linear_regression > 0 ? color.from_gradient(linear_regression, 0, 2, color(na), col_up) : color.from_gradient(linear_regression, -2, 0, col_dn, color(na)) color1= linear_regression > 0 ? color.from_gradient(linear_regression, 0, 2, color(na), color.new(chart.fg_color, 50)) : color.from_gradient(linear_regression, -2, 0, color.new(chart.fg_color, 50), color(na)) color2= linear_regression > 0 ? color.from_gradient(linear_regression, 0, 1, color(na), col_up) : color.from_gradient(linear_regression, -1, 0, col_dn, color(na)) // Plot Oscillator plot(linear_regression, color = color, style = plot.style_area) // Zero Line plot(0, color = color1, linewidth = 2) // Upper and Lower Thresholds p1 = plot(upper, display = display.none) p3 = plot(lower, display = display.none) p4 = plot(-4, display = display.none) p2 = plot(4, display = display.none) fill(p1, p2, 4, upper, na, color.new(col_up, 75)) fill(p3, p4, lower, -4, color.new(col_dn, 75), na) if barstate.islast l1 = label.new(bar_index, upper, str.tostring(upper), style = label.style_diamond, size = size.tiny, textcolor = chart.fg_color, color = col_up) label.delete(l1[1]) l2 = label.new(bar_index, lower, str.tostring(lower), style = label.style_diamond, size = size.tiny, textcolor = chart.fg_color, color = col_dn) label.delete(l2[1]) // Oscillator Mean Reversion above or below Thresholds plotchar(cond_1, "", "◇", color = col_dn, location = location.absolute, size = size.small, offset = -1 ) plotchar(cond_2, "", "◇", color = col_up, location = location.absolute, size = size.small, offset = -1 ) // Oscillator Crosses zero Line plotchar(cond1 ? 0 : na, "", "◆", color = color.new(col_dn, 0), location = location.absolute, size = size.tiny, offset = -1 ) plotchar(cond2 ? 0 : na, "", "◆", color = color.new(col_up, 0), location = location.absolute, size = size.tiny, offset = -1 ) // Trend Labels on the chart switch cond2 => label.new(chart.point.from_index(bar_index, low), "▲", style = label.style_label_up, textcolor = col_up, size = size.large, color = color(na), force_overlay = true ) cond1 => label.new(chart.point.from_index(bar_index, high), "▽", style = label.style_label_down, textcolor = col_dn, size = size.large, color = color(na), force_overlay = true ) // Meant Reversion Labels on the chart switch cond_2 => label.new(chart.point.from_index(bar_index, low), text = "◆￦nReversion", style = label.style_label_up, textcolor = col_up, size = size.normal, color = color(na), force_overlay = true ) cond_1 => label.new(chart.point.from_index(bar_index, high), text = "Reversion￦n◆", style = label.style_label_down, textcolor = col_dn, size = size.normal, color = color(na), force_overlay = true ) // Invalidation Price Levels plot(not ta.change(points) ? points : na, color = color2, linewidth = 2, style = plot.style_linebr, force_overlay = true ) if ta.change(points) label.new(chart.point.from_index(bar_index, points[1]), text = "Invalidation￦nLevel", style = label.style_label_left, textcolor = linear_regression < 0 ? col_up : col_dn, size = size.small, color = color(na), force_overlay = true ) // Candles Color candle_col = candles ? (linear_regression < 0 ? col_dn : col_up) : na plotcandle(open, high, low, close, title = "Color Candles", color = candle_col, bordercolor = candle_col, wickcolor = candle_col, force_overlay= true ) barcolor(candle_col)

기간값이 다른 2개를 볼린저밴드를 차트에 올렸을때 각각의 상단선, 하단선이 같아지는 봉 위아래에 "▼" 나타나게 해주세요 즉 기간값이 20 인 볼린저와 기간값이 60 인 볼리저의 상단과 하단값이 같아지는 봉에 표시를 하고 싶습니다 2개의 하단값이 같아지면 봉 아래에 화살표표시 (red 색상) 2개의 상단값이 같아지면 봉 위에 화살표표시 (블루색상) 완전 같거나 오차범위 0.5 이내 감사합니다

A=LinearRegValue(C, period); B=MA(A, avgperiod)-MA(StdError(C, period),avgperiod); AA=LinearRegValue(C, period1); BB=MA(AA, avgperiod)-MA(StdError(C, period1),avgperiod); A1=(H+L+C)/3; xTrend = if(A1 > A1(1), volume * 100, -volume * 100); xFast = eavg(xTrend, FastX); xSlow = eavg(xTrend, SlowX); xKVO = xFast - xSlow; xTrigger = eavg(xKVO, TrigLen); B<BB && xKVO>xTrigger && (CROSSUP(C,B) OR CROSSUP(C,BB)) && C>O ===================== 지표변수 period 200 period1 160 avgperiod 50 triglen 25 fastx 100 slowx 80

Plot2(bb, "변화율"); 에서 0 이상값만 표시하는 식 좀 부탁드립니다.

안녕하세요 항상 빠른 답변 감사 드립니다. 전략실행 차트상에 당일 시가 N% 당일 고가 N% 거래대금 전일 거래대금 분당 거래대금 등등을 표기 할수 있는 식이 있다면 안내 부탁드립니다. 키움에서는 일목균형 식으로 대체 하여 사용하고 있어 문의 드려봅니다. 그럼 좋은 하루 되세요