안녕하세요 예스스탁입니다. 선사이의 색채우기는 수식에서 설정이 가능하지 않습니다. 지표속성창의 차트표시탭에서 채우기 기능이용하셔서 직접 설정하셔야 합니다. input : len(10); input : offset(30); input : width(1); var : dsl_up(0),dsl_dn(0),sma(0),threshold_up(0),threshold_dn(0); var : A(0),dsl_up1(0),dsl_dn1(0),lr(0),trend_col(0); sma = ma(close, len); threshold_up = highest(H,len)[offset]; threshold_dn = lowest(L,len)[offset]; dsl_up = iff(close > threshold_up , sma , dsl_up[1]); dsl_dn = iff(close < threshold_dn , sma , dsl_dn[1]); A = atr(200) * width; dsl_up1 = dsl_up - A; dsl_dn1 = dsl_dn + A; lr = LRL(close, 5); if high > dsl_up1 and high < dsl_up and high > dsl_dn1 Then trend_col = Magenta; if low > dsl_dn and low < dsl_dn1 Then trend_col = Cyan; if high > dsl_up Then trend_col = Red; if low < dsl_dn Then trend_col = Blue; plot1(lr,"Trend Line",trend_col); plot2(dsl_up, "DSL Up",Gray); plot3(dsl_dn, "DSL Down",Gray); plot4(dsl_up1, "DSL Upper Band",Gray); plot5(dsl_dn1, "DSL Lower Band",Gray); 즐거운 하루되세요 > 비듬싸순 님이 쓴 글입니다. > 제목 : 수고하십니다 > 항상노고에 감사드리며 트레이딩뷰챠트인데 변환 부탁드립니다 주말 잘보내세요 /@version=5 indicator("DSL Trend Analysis [ChartPrime]", overlay = true) // --------------------------------------------------------------------------------------------------------------------} // &#120400;&#120398;&#120384;&#120397; &#120388;&#120393;&#120395;&#120400;&#120399;&#120398; // --------------------------------------------------------------------------------------------------------------------{ int len = input.int(10, "Length") // Length for calculating DSL int offset = input(30, "Offset") // Offset for threshold levels float width = input.float(1, "Bands Width", step = 0.1, maxval = 2, minval = 0.5) // Width for ATR-based bands // Colors for upper and lower trends color upper_col = input.color(color.lime, "+", inline = "col") color lower_col = input.color(color.orange, "-", inline = "col") // --------------------------------------------------------------------------------------------------------------------} // &#120388;&#120393;&#120383;&#120388;&#120382;&#120380;&#120399;&#120394;&#120397; &#120382;&#120380;&#120391;&#120382;&#120400;&#120391;&#120380;&#120399;&#120388;&#120394;&#120393;&#120398; // --------------------------------------------------------------------------------------------------------------------{ // Function to calculate DSL lines based on price dsl_price(float price, int len) => // Initialize DSL lines as NaN (not plotted by default) float dsl_up = na float dsl_dn = na float sma = ta.sma(price, len) // Dynamic upper and lower thresholds calculated with offset float threshold_up = ta.highest(len)[offset] float threshold_dn = ta.lowest(len)[offset] // Calculate the DSL upper and lower lines based on price compared to the thresholds dsl_up := price > threshold_up ? sma : dsl_up[1] dsl_dn := price < threshold_dn ? sma : dsl_dn[1] // Return both DSL lines [dsl_up, dsl_dn] // Function to calculate DSL bands based on ATR and width multiplier dsl_bands(float dsl_up, float dsl_dn) => float atr = ta.atr(200) * width // ATR-based calculation for bands float upper = dsl_up - atr // Upper DSL band float lower = dsl_dn + atr // Lower DSL band [upper, lower] // Get DSL values based on the closing price [dsl_up, dsl_dn] = dsl_price(close, len) // Calculate the bands around the DSL lines [dsl_up1, dsl_dn1] = dsl_bands(dsl_up, dsl_dn) // Linear regression on the close price over a short period float linreg = ta.linreg(close, 5, 0) // Determine the trend color based on the relationship between price, DSL lines, and bands color trend_col = high > dsl_up1 and high < dsl_up and high > dsl_dn1 ? color.new(upper_col, 60) : low > dsl_dn and low < dsl_dn1 ? color.new(lower_col, 60) : high > dsl_up ? upper_col : low < dsl_dn ? lower_col : na // --------------------------------------------------------------------------------------------------------------------} // &#120401;&#120388;&#120398;&#120400;&#120380;&#120391;&#120388;&#120405;&#120380;&#120399;&#120388;&#120394;&#120393; // --------------------------------------------------------------------------------------------------------------------{ // Plot the linear regression with color based on trend analysis plot(linreg, "Trend Line", color = trend_col, linewidth=4, style = plot.style_linebr, force_overlay = false) // If it's the last bar, display labels for the DSL upper and lower bands if barstate.islast label.delete(label.new(bar_index + 5, dsl_up, "Upper Band￦n" + str.tostring(dsl_up, "#.##"), style = label.style_label_left, color = color(na), textcolor = chart.fg_color)[1]) label.delete(label.new(bar_index + 5, dsl_dn, "Lower Band￦n" + str.tostring(dsl_dn, "#.##"), style = label.style_label_left, color = color(na), textcolor = chart.fg_color)[1]) // Plot the DSL lines on the chart pu = plot(dsl_up, color=color.gray, linewidth=1, title="DSL Up") pd = plot(dsl_dn, color=color.gray, linewidth=1, title="DSL Down") // Plot the DSL bands pu1 = plot(dsl_up1, color=color.gray, linewidth=1, title="DSL Upper Band") pd1 = plot(dsl_dn1, color=color.gray, linewidth=1, title="DSL Lower Band") // Fill the space between the DSL lines and bands with color fill(pu, pu1, dsl_up, dsl_up1, color.new(upper_col, 80), color.new(upper_col, 90)) fill(pd, pd1, dsl_dn, dsl_dn1, color.new(lower_col, 80), color.new(lower_col, 90)) // Uncomment the following line to plot candles with trend color // plotcandle(open, high, low, close, title='Title', color = trend_col, wickcolor=trend_col, bordercolor = trend_col) // --------------------------------------------------------------------------------------------------------------------}