안녕하세요. 아래수식을 Yes트레이더로 변환부탁드립니다. // This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International // https://creativecommons.org/licenses/by-nc-sa/4.0/ // &#169; BigBeluga //@version=5 indicator("Volumatic Variable Index Dynamic Average [BigBeluga]", "Volumatic VIDYA [BigBeluga]", overlay = true, max_lines_count = 500, max_labels_count = 500) // ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ // Input parameters for length, momentum, and source data int vidya_length = input.int(10, "VIDYA Length") // Length of the VIDYA calculation int vidya_momentum = input.int(20, "VIDYA Momentum") // Momentum length for VIDYA float band_distance = input.float(2, "Distance factor for upper/lower bands", step = 0.1) // Distance factor for upper/lower bands // Define pivot parameters int pivot_left_bars = 3 // Left side pivot bars int pivot_right_bars = pivot_left_bars // Right side pivot bars float source = input.source(close, "Source") // Source for VIDYA calculation // Define colors for up and down trends color up_trend_color = input(#17dfad, "+", group = "Color", inline = "c") // Color for uptrend color down_trend_color = input(#dd326b, "-", group = "Color", inline = "c") // Color for downtrend bool shadow = input.bool(true, "Shadow", group = "Color", inline = "c") // Initialize variables for line, volume, and trend state var line pivot_line = na // Variable for storing line references var float volume_value = na // Variable for storing volume data float smoothed_value = na // Smoothing variable for VIDYA trend levels var bool is_trend_up = na // Boolean variable for tracking trend direction // Initialize arrays for storing line and volume information var array<line> liquidity_lines_low = array.new<line>(500) // Array for storing lines for lows var array<line> liquidity_lines_high = array.new<line>(500) // Array for storing lines for highs var float up_trend_volume = na // Volume accumulated during uptrend var float down_trend_volume = na // Volume accumulated during downtrend // } // ＦＵＮＣＴＩＯＮＳ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ // Define VIDYA (Variable Index Dynamic Average) function vidya_calc(src, vidya_length, vidya_momentum) => float momentum = ta.change(src) float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum) float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum) float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum)) float alpha = 2 / (vidya_length + 1) var float vidya_value = 0.0 vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value[1]) ta.sma(vidya_value, 15) // Method to extend lines and add labels for liquidity levels method extend_liquidity_lines(array<line> line_array, float price_level, bool is_cross, volume_val)=> if line_array.size() > 0 and last_bar_index - bar_index < 5000 for i = 0 to line_array.size()-1 if i < line_array.size() line liquidity_line = line_array.get(i) float current_line_level = line.get_y2(liquidity_line) bool price_cross = is_cross ? price_level < current_line_level and price_level[1] >= current_line_level : price_level > current_line_level and price_level[1] <= current_line_level bool is_short_line = bar_index - line.get_x1(liquidity_line) < 50 if price_cross and is_short_line line.set_x2(liquidity_line, bar_index) line_array.remove(i) // Add volume label to the liquidity zone label.new(bar_index-1, price_level[1], str.tostring(volume_val, format.volume), color = color.rgb(0, 0, 0, 99), style = is_cross ? label.style_label_lower_left : label.style_label_upper_left, textcolor = chart.fg_color, size = size.small) // Add a circle label to represent liquidity zone label.new(bar_index-1, price_level[1], text = "&#9673;", color = #00000003, textcolor = is_cross ? down_trend_color : up_trend_color, style = label.style_label_center, size = size.normal) // } // ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ // Calculate the Average True Range (ATR) float atr_value = ta.atr(200) // ATR calculation with length of 200 // Calculate the VIDYA (Variable Index Dynamic Average) vidya_value = vidya_calc(source, vidya_length, vidya_momentum) // Calculate upper and lower bands based on VIDYA and ATR float upper_band = vidya_value + atr_value * band_distance float lower_band = vidya_value - atr_value * band_distance // Detect trend direction using crossovers of source with bands if ta.crossover(source, upper_band) is_trend_up := true if ta.crossunder(source, lower_band) is_trend_up := false // Set trend-based smoothing variable if is_trend_up smoothed_value := lower_band if not is_trend_up smoothed_value := upper_band if ta.change(is_trend_up) smoothed_value := na // Calculate pivot highs and lows for price action float pivot_high = ta.pivothigh(pivot_left_bars, pivot_right_bars) float pivot_low = ta.pivotlow(close, pivot_left_bars, pivot_right_bars) // Create and store lines for pivot lows (support zones) if low[pivot_right_bars] > smoothed_value and pivot_low pivot_line := line.new( bar_index[pivot_right_bars], low[pivot_right_bars], bar_index[pivot_right_bars]+5, low[pivot_right_bars], color = color.new(up_trend_color, 50) ) liquidity_lines_low.push(pivot_line) volume_value := math.sum(volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars) // Create and store lines for pivot highs (resistance zones) if high[pivot_right_bars] < smoothed_value and pivot_high pivot_line := line.new( bar_index[pivot_right_bars], high[pivot_right_bars], bar_index[pivot_right_bars]+5, high[pivot_right_bars], color = color.new(down_trend_color, 50) ) liquidity_lines_high.push(pivot_line) volume_value := math.sum(-volume, pivot_right_bars + pivot_left_bars) / (pivot_right_bars + pivot_left_bars) // Extend lines to track price movements liquidity_lines_high.extend_liquidity_lines(smoothed_value, true, volume_value) liquidity_lines_low.extend_liquidity_lines(smoothed_value, false, volume_value) // Detect changes in the trend direction bool trend_cross_up = not is_trend_up[1] and is_trend_up bool trend_cross_down = not is_trend_up and is_trend_up[1] // Reset volume counters when trend changes if ta.change(trend_cross_up) or ta.change(trend_cross_down) up_trend_volume := 0 down_trend_volume := 0 // Accumulate volume during trends if not(ta.change(trend_cross_up) or ta.change(trend_cross_down)) up_trend_volume += (close > open ? volume : 0) down_trend_volume += (close < open ? volume : 0) // Calculate average volume float avg_volume_delta = (up_trend_volume + down_trend_volume) / 2 // Determine the color of the trend color trend_color = is_trend_up ? up_trend_color : not is_trend_up ? down_trend_color : chart.fg_color // Calculate delta volume percentage string delta_volume = str.tostring(((up_trend_volume - down_trend_volume) / avg_volume_delta) * 100, format.percent) == "NaN%" ? "0%" : str.tostring(((up_trend_volume - down_trend_volume) / avg_volume_delta) * 100, format.percent) // } // ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{ // Display labels for volume and trend statistics on the last bar if barstate.islast label.delete( label.new(bar_index, smoothed_value, "Buy: " + str.tostring(up_trend_volume, format.volume) + "￦n Sell: " + str.tostring(down_trend_volume, format.volume) + "￦nDelta Volume: " + delta_volume, color = color.new(trend_color, 90), style = is_trend_up ? label.style_label_upper_left : label.style_label_lower_left, textcolor = chart.fg_color )[1]) label.delete(label.new(bar_index, smoothed_value, text = "&#10026;", color = #00000003, textcolor = trend_color, style = label.style_label_center, size = size.large)[1]) // Plot the VIDYA trend line p1 = plot(smoothed_value, color = trend_color, linewidth = 2, style = plot.style_linebr) p2 = plot(hl2, display = display.none) // Fill between the plot and the VIDYA line fill(p1, p2, smoothed_value, hl2, color.new(trend_color, shadow ? 80 : 100), na) // Plot trend change markers (up and down arrows) plotshape( series = trend_cross_up[1] ? smoothed_value[0] : na, title = "Trend Up", style = shape.labelup, location = location.absolute, color = color.new(up_trend_color, 50), text = "▲", textcolor = chart.fg_color ) plotshape( series = trend_cross_down[1] ? smoothed_value[0] : na, title = "Trend Down", style = shape.labeldown, location = location.absolute, color = color.new(down_trend_color, 50), text = "▼", textcolor = chart.fg_color ) // }

1분차트에 적용했는데 아무것도 안나와요 다시 부탁드립니다 라인의 색상, 굵기도 지정할수있게 부탁드립니다 감사합니다

안녕하세요. 1분봉차트에서 당일 종가들중 가장 낮은값, 당일 시가들중에 가장 낮은값을 알려고 합니다. dayindex를 사용해서 가령, 당일 4번째봉이 완성되면(즉, dayindex 3 인 봉) Lowest(C,dayindex)[1] 로 쓰면, 당일 1~3번째 봉들 중에서 가장 작은 종가를 줘야 하는 것 같은데,, message로그로 찍어보면 좀 다른 값을 주는 것 같더라구요. 오류가 있는건지요? 당일 최저가는 daylow를 쓰면되지만, 시가나 종가들중에 최저값을 알수 있는 로직을 알려주시면 좋겠습니다~

수고 많으십니다 90383번 수식 작성 감사드립니다 문의 드릴 내용은 90383번 시간 설정에서 설정 된 매매 종료 시간이 되면 모든 포지션 청산 하는 수식을 추가 부탁 드립니다 감사합니다

항상 노고에 감사드림니다. 아래의 수식을 종목검색식으로 부탁드림니다. A=macd(12, 26); B=CCI(9); 조=RSI(14); D=ma(C, 120, 가중); Crossup(A, 0) && Crossup(B, 100) && Crossup(조, 50) && Crossup(C, D)

수고하십니다 답변수식 정확하게 뜨고있읍니다 그러나 1봉전으로 신호가 작동하네요 0봉전으로 수정 부탁드립니다 죄송합니다 input : mm(26),p(20),d1(2),n(25); var : B(0); B=BollBandUp(P,D1); if (-mm+n >= 0 and Crossup(C[mm-n],B)) or (-mm+n < 0 and Crossup(C,B[mm-n])) Then Find(1); 키움 M=26; P=20; D1=2; N=25; A=Shift(C,-M+n); B=BBandsup(P,D1); Crossup(A,B)

90시30분에 차트에 세로선과 알람이 나오게 하고 싶습니다 감사합니다

Input : 전환(0.5); Var:j(0),jj(0),HH(0),LL(0),hiBar(0),loBar(0),최종꼭지점(""),처리구분(""), TL(0); Array:고[10,4](0),저[10,4](0); HH = H; LL = L; If Index == 0 Then { 고[1,1] = HH; 고[1,2] = 0; 고[1,3] = sDate; 고[1,4] = sTime; 저[1,1] = LL; 저[1,2] = 0; 저[1,3] = sDate; 저[1,4] = sTime; } If Index > 0 Then { hiBar = hiBar + 1; loBar = loBar + 1; } If HH[hiBar] < HH Then hiBar = 0; If LL[loBar] > LL Then loBar = 0; Condition1 = 저[1,1]+전환 <= HH and hiBar == 0; Condition2 = 고[1,1]-전환 >= LL and loBar == 0; 처리구분 = ""; If Condition1 and Condition2 Then { If 최종꼭지점 == "저점" Then { If 저[1,1] > LL Then 처리구분 = "저점처리"; Else 처리구분 = "고점처리"; } Else If 최종꼭지점 == "고점" Then { If 고[1,1] < HH Then 처리구분 = "고점처리"; Else 처리구분 = "저점처리"; } } Else If Condition1 Then 처리구분 = "고점처리"; Else If Condition2 Then 처리구분 = "저점처리"; If 처리구분 == "고점처리" Then { If 최종꼭지점 == "저점" Then { For j = 10 DownTo 2 { For jj = 1 To 4 { 고[j,jj] = 고[j-1,jj]; } } 고[1,1] = HH[hiBar]; 고[1,2] = Index - hiBar; 고[1,3] = sDate[hiBar]; 고[1,4] = sTime[hiBar]; hiBar = -1; loBar = -1; TL = TL_New(저[1,3],저[1,4],저[1,1],고[1,3],고[1,4],고[1,1]); TL_SetSize(TL,1); TL_SetColor(TL,Red); } Else If 고[1,1] < HH[hiBar] Then { 고[1,1] = HH[hiBar]; 고[1,2] = Index - hiBar; 고[1,3] = sDate[hiBar]; 고[1,4] = sTime[hiBar]; hiBar = -1; loBar = -1; TL_SetEnd(TL,고[1,3],고[1,4],고[1,1]); } 최종꼭지점 = "고점"; Plot1(고[1,1]); NoPlot(2); } If 처리구분 == "저점처리" Then { If 최종꼭지점 == "고점" Then { For j = 10 DownTo 2 { For jj = 1 To 4 { 저[j,jj] = 저[j-1,jj]; } } 저[1,1] = LL[loBar]; 저[1,2] = Index - loBar; 저[1,3] = sDate[loBar]; 저[1,4] = sTime[loBar]; hiBar = -1; loBar = -1; TL = TL_New(고[1,3],고[1,4],고[1,1],저[1,3],저[1,4],저[1,1]); TL_SetSize(TL,1); TL_SetColor(TL,Green); } Else If 저[1,1] > LL[loBar] Then { 저[1,1] = LL[loBar]; 저[1,2] = Index - loBar; 저[1,3] = sDate[loBar]; 저[1,4] = sTime[loBar]; hiBar = -1; loBar = -1; TL_SetEnd(TL,저[1,3],저[1,4],저[1,1]); } 최종꼭지점 = "저점"; Plot2(저[1,1]); NoPlot(1); } 추세선의 고점끼리 연결선, 저점끼리 연결선. 감사합니다.