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Cerca negli script per "北证50+指数成分股"

The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care... Recommended Chart Settings: Asset Class: ETF Time Frame: Daily Necessary ETF Macro Conditions: a) Country must have healthy demographics, good ratio of young > old b) Country population must be increasing c) Country must be experiencing price-inflation Default Robot Settings: Slow Moving Average: 50 (integer) //adjust to suit your underlying index Fast Moving Average: 150 (integer) //adjust to suit your underlying index Bullish Slope Angle: 5 (degrees) //up angle of moving averages Bearish Slope Angle: -5 (degrees) //down angle of moving averages Average True Range: 14 (integer) //input for slope-angle formula Risk: 100 (%) //100% risk means using all equity per trade ETF Test Results (Default Settings): SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below. Risk Warning: Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below. Moving Average Slope Angle Formula: Reproduced and modified from source:
Strategia Pine Script®
di UnknownUnicorn1373033
3
50-Line Oscillator // (\_/) // ( •.•) // (")_(") 25-Line Oscillator Description: The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics. Features: Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions. Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts. Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading. Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior. How to Use: Add the indicator to your chart and customize the base length as desired. Observe the rainbow-colored lines for trend direction. Look for crossover events between the SMAs as potential trading signals. Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
Indicatore Pine Script®
di FollowtheWhiteRabbitz
50/100/200 Moving Averages (Pine Script For Copy)by fresca SCRIPT LANGUAGE Copy script below and adjust based on your preferences. -function (change function from "sma" to "ema", "wma" and more) -length (25 Day, 150 Day or add more averages to the three in this script.) -color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.) -transparency (set to desired level 1-100) Or add more options. RESOURCES Color hex codes site: www.canva.com Trading View Pine Script Editor Reference Guide: www.tradingview.com
Indicatore Pine Script®
di manifresca
9
ADR levels+// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © notprofessorgreen //@version=5 indicator("ADR levels", shorttitle = 'ADR', overlay=true, max_bars_back=5000, max_lines_count=500) // Error catching if (timeframe.in_seconds() >= timeframe.in_seconds('D')) runtime.error('Timeframe cannot be greater than Daily') // Inputs adr_days = input.int(10, title = 'Days', maxval=250, minval = 1) std_x = input.float(1.0, "Scale Factor") width = input.int(1, "Line Width") // ADR line inputs adr_color = input.color(color.gray, "ADR Color") adr_style = input.string("solid", "ADR Style", options= ) // Standard deviation inputs std_dev_0_5 = input.float(0.5, "Std Dev 1 Multiplier", minval=0.1, maxval=5.0) std_0_5_show = input.bool(true, "Show Std Dev 1", inline="std1") std_0_5_color = input.color(color.gray, "Std Dev 1 Color", inline="std1") std_0_5_style = input.string("dotted", "Std Dev 1 Style", options= , inline="std1") std_dev_1 = input.float(1.0, "Std Dev 2 Multiplier", minval=0.1, maxval=5.0) std_1_show = input.bool(true, "Show Std Dev 2", inline="std2") std_1_color = input.color(color.gray, "Std Dev 2 Color", inline="std2") std_1_style = input.string("dotted", "Std Dev 2 Style", options= , inline="std2") std_dev_2 = input.float(2.0, "Std Dev 3 Multiplier", minval=0.1, maxval=5.0) std_2_show = input.bool(true, "Show Std Dev 3", inline="std3") std_2_color = input.color(color.gray, "Std Dev 3 Color", inline="std3") std_2_style = input.string("dotted", "Std Dev 3 Style", options= , inline="std3") // Fibonacci inputs fib_1_level = input.float(0.3, "Fib Level 1", minval=0, maxval=2.0) fib_1_show = input.bool(true, "Show Fib 1", inline="fib1") fib_1_color = input.color(color.blue, "Fib 1 Color", inline="fib1") fib_1_style = input.string("dashed", "Fib 1 Style", options= , inline="fib1") fib_2_level = input.float(0.5, "Fib Level 2", minval=0, maxval=2.0) fib_2_show = input.bool(true, "Show Fib 2", inline="fib2") fib_2_color = input.color(color.blue, "Fib 2 Color", inline="fib2") fib_2_style = input.string("dashed", "Fib 2 Style", options= , inline="fib2") fib_3_level = input.float(0.7, "Fib Level 3", minval=0, maxval=2.0) fib_3_show = input.bool(true, "Show Fib 3", inline="fib3") fib_3_color = input.color(color.blue, "Fib 3 Color", inline="fib3") fib_3_style = input.string("dashed", "Fib 3 Style", options= , inline="fib3") show_labels = input.bool(true, "Show Labels") // Stats table inputs show_stats = input.bool(true, "Show Table") sample_size = input.bool(true, "Show Sample Sizes") tbl_loc = input.string('Bottom Right', "Table", options = ) tbl_size = input.string('Tiny', "", options = ) rch_color = input.color(color.rgb(3, 131, 99, 70), "Reached ") csd_color = input.color(color.rgb(127, 1, 185, 70), "Closed Through ") // Function to convert style string to line style get_line_style(string style) => switch style "solid" => line.style_solid "dashed" => line.style_dashed "dotted" => line.style_dotted // Variables reset = session.islastbar_regular var float track_highs = 0.00 var float track_lows = 0.00 var float today_adr = 0.00 var adrs = array.new_float(adr_days, 0.00) var line adr_pos = na var line adr_neg = na var line fib_1_pos = na var line fib_1_neg = na var line fib_2_pos = na var line fib_2_neg = na var line fib_3_pos = na var line fib_3_neg = na var line std_0_5_pos = na var line std_0_5_neg = na var line std_1_pos = na var line std_1_neg = na var line std_2_pos = na var line std_2_neg = na var label fib_1_pos_lbl = na var label fib_1_neg_lbl = na var label fib_2_pos_lbl = na var label fib_2_neg_lbl = na var label fib_3_pos_lbl = na var label fib_3_neg_lbl = na var label adr_pos_lbl = na var label adr_neg_lbl = na var label std_0_5_pos_lbl = na var label std_0_5_neg_lbl = na var label std_1_pos_lbl = na var label std_1_neg_lbl = na var label std_2_pos_lbl = na var label std_2_neg_lbl = na // ADR calculation track_highs := reset ? high : math.max(high, track_highs ) track_lows := reset ? low : math.min(low, track_lows ) if reset array.unshift(adrs, math.round_to_mintick(track_highs - track_lows )) if array.size(adrs) > adr_days array.pop(adrs) today_adr := math.round_to_mintick(array.avg(adrs)) // Delete previous lines and labels line.delete(adr_pos ) line.delete(adr_neg ) line.delete(fib_1_pos ) line.delete(fib_1_neg ) line.delete(fib_2_pos ) line.delete(fib_2_neg ) line.delete(fib_3_pos ) line.delete(fib_3_neg ) line.delete(std_0_5_pos ) line.delete(std_0_5_neg ) line.delete(std_1_pos ) line.delete(std_1_neg ) line.delete(std_2_pos ) line.delete(std_2_neg ) label.delete(fib_1_pos_lbl ) label.delete(fib_1_neg_lbl ) label.delete(fib_2_pos_lbl ) label.delete(fib_2_neg_lbl ) label.delete(fib_3_pos_lbl ) label.delete(fib_3_neg_lbl ) label.delete(adr_pos_lbl ) label.delete(adr_neg_lbl ) label.delete(std_0_5_pos_lbl ) label.delete(std_0_5_neg_lbl ) label.delete(std_1_pos_lbl ) label.delete(std_1_neg_lbl ) label.delete(std_2_pos_lbl ) label.delete(std_2_neg_lbl ) // Draw ADR lines adr_pos := line.new(bar_index, open + today_adr, bar_index+50, open + today_adr, width=width, color=adr_color, style=get_line_style(adr_style)) adr_neg := line.new(bar_index, open - today_adr, bar_index+50, open - today_adr, width=width, color=adr_color, style=get_line_style(adr_style)) // Draw ADR labels if show_labels adr_pos_lbl := label.new(bar_index+50, open + today_adr, "ADR High (" + str.tostring(adr_days) + "D)", xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.blue, 90), style=label.style_none) adr_neg_lbl := label.new(bar_index+50, open - today_adr, "ADR Low (" + str.tostring(adr_days) + "D)", xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.red, 90), style=label.style_none) // Calculate deviations var float half_dev = na var float one_dev = na var float two_dev = na half_dev := today_adr * std_dev_0_5 one_dev := today_adr * std_dev_1 two_dev := today_adr * std_dev_2 // Draw standard deviation lines (with show/hide options) if std_0_5_show std_0_5_pos := line.new(bar_index, (open + today_adr) + half_dev, bar_index+50, (open + today_adr) + half_dev, width=width, color=std_0_5_color, style=get_line_style(std_0_5_style)) std_0_5_neg := line.new(bar_index, (open - today_adr) - half_dev, bar_index+50, (open - today_adr) - half_dev, width=width, color=std_0_5_color, style=get_line_style(std_0_5_style)) if show_labels std_0_5_pos_lbl := label.new(bar_index+50, (open + today_adr) + half_dev, "Std " + str.tostring(std_dev_0_5), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none) std_0_5_neg_lbl := label.new(bar_index+50, (open - today_adr) - half_dev, "Std -" + str.tostring(std_dev_0_5), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none) if std_1_show std_1_pos := line.new(bar_index, (open + today_adr) + one_dev, bar_index+50, (open + today_adr) + one_dev, width=width, color=std_1_color, style=get_line_style(std_1_style)) std_1_neg := line.new(bar_index, (open - today_adr) - one_dev, bar_index+50, (open - today_adr) - one_dev, width=width, color=std_1_color, style=get_line_style(std_1_style)) if show_labels std_1_pos_lbl := label.new(bar_index+50, (open + today_adr) + one_dev, "Std " + str.tostring(std_dev_1), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none) std_1_neg_lbl := label.new(bar_index+50, (open - today_adr) - one_dev, "Std -" + str.tostring(std_dev_1), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none) if std_2_show std_2_pos := line.new(bar_index, (open + today_adr) + two_dev, bar_index+50, (open + today_adr) + two_dev, width=width, color=std_2_color, style=get_line_style(std_2_style)) std_2_neg := line.new(bar_index, (open - today_adr) - two_dev, bar_index+50, (open - today_adr) - two_dev, width=width, color=std_2_color, style=get_line_style(std_2_style)) if show_labels std_2_pos_lbl := label.new(bar_index+50, (open + today_adr) + two_dev, "Std " + str.tostring(std_dev_2), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none) std_2_neg_lbl := label.new(bar_index+50, (open - today_adr) - two_dev, "Std -" + str.tostring(std_dev_2), xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none) // Draw Fibonacci lines if fib_1_show fib_1_pos := line.new(bar_index, open + today_adr * fib_1_level, bar_index+50, open + today_adr * fib_1_level, width=width, color=fib_1_color, style=get_line_style(fib_1_style)) fib_1_neg := line.new(bar_index, open - today_adr * fib_1_level, bar_index+50, open - today_adr * fib_1_level, width=width, color=fib_1_color, style=get_line_style(fib_1_style)) if show_labels fib_1_pos_lbl := label.new(bar_index+50, open + today_adr * fib_1_level, "Fib " + str.tostring(fib_1_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none) fib_1_neg_lbl := label.new(bar_index+50, open - today_adr * fib_1_level, "Fib -" + str.tostring(fib_1_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none) if fib_2_show fib_2_pos := line.new(bar_index, open + today_adr * fib_2_level, bar_index+50, open + today_adr * fib_2_level, width=width, color=fib_2_color, style=get_line_style(fib_2_style)) fib_2_neg := line.new(bar_index, open - today_adr * fib_2_level, bar_index+50, open - today_adr * fib_2_level, width=width, color=fib_2_color, style=get_line_style(fib_2_style)) if show_labels fib_2_pos_lbl := label.new(bar_index+50, open + today_adr * fib_2_level, "Fib " + str.tostring(fib_2_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none) fib_2_neg_lbl := label.new(bar_index+50, open - today_adr * fib_2_level, "Fib -" + str.tostring(fib_2_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none) if fib_3_show fib_3_pos := line.new(bar_index, open + today_adr * fib_3_level, bar_index+50, open + today_adr * fib_3_level, width=width, color=fib_3_color, style=get_line_style(fib_3_style)) fib_3_neg := line.new(bar_index, open - today_adr * fib_3_level, bar_index+50, open - today_adr * fib_3_level, width=width, color=fib_3_color, style=get_line_style(fib_3_style)) if show_labels fib_3_pos_lbl := label.new(bar_index+50, open + today_adr * fib_3_level, "Fib " + str.tostring(fib_3_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none) fib_3_neg_lbl := label.new(bar_index+50, open - today_adr * fib_3_level, "Fib -" + str.tostring(fib_3_level), xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none) else today_adr := today_adr line.set_x2(adr_pos, bar_index+50) line.set_x2(adr_neg, bar_index+50) if show_labels label.set_x(adr_pos_lbl, bar_index+50) label.set_x(adr_neg_lbl, bar_index+50) if std_0_5_show line.set_x2(std_0_5_pos, bar_index+50) line.set_x2(std_0_5_neg, bar_index+50) if show_labels label.set_x(std_0_5_pos_lbl, bar_index+50) label.set_x(std_0_5_neg_lbl, bar_index+50) if std_1_show line.set_x2(std_1_pos, bar_index+50) line.set_x2(std_1_neg, bar_index+50) if show_labels label.set_x(std_1_pos_lbl, bar_index+50) label.set_x(std_1_neg_lbl, bar_index+50) if std_2_show line.set_x2(std_2_pos, bar_index+50) line.set_x2(std_2_neg, bar_index+50) if show_labels label.set_x(std_2_pos_lbl, bar_index+50) label.set_x(std_2_neg_lbl, bar_index+50) if fib_1_show line.set_x2(fib_1_pos, bar_index+50) line.set_x2(fib_1_neg, bar_index+50) if show_labels label.set_x(fib_1_pos_lbl, bar_index+50) label.set_x(fib_1_neg_lbl, bar_index+50) if fib_2_show line.set_x2(fib_2_pos, bar_index+50) line.set_x2(fib_2_neg, bar_index+50) if show_labels label.set_x(fib_2_pos_lbl, bar_index+50) label.set_x(fib_2_neg_lbl, bar_index+50) if fib_3_show line.set_x2(fib_3_pos, bar_index+50) line.set_x2(fib_3_neg, bar_index+50) if show_labels label.set_x(fib_3_pos_lbl, bar_index+50) label.set_x(fib_3_neg_lbl, bar_index+50) // Stats calculation var float d_hi = high var float d_lo = low var float d_open = open var float d_range = array.new_float() var float adr_val = na var float d_adr_hi = na var float d_adr_lo = na type adr_stats int hit_adr_hi = 0 int hit_adr_lo = 0 int hit_adr_both = 0 int thru_adr_hi = 0 int thru_adr_lo = 0 int hit_fib_1_hi = 0 int hit_fib_1_lo = 0 int hit_fib_2_hi = 0 int hit_fib_2_lo = 0 int hit_fib_3_hi = 0 int hit_fib_3_lo = 0 int hit_std_0_5_hi = 0 int hit_std_0_5_lo = 0 int hit_std_1_hi = 0 int hit_std_1_lo = 0 int hit_std_2_hi = 0 int hit_std_2_lo = 0 int d_count = 0 var adr_sun = adr_stats.new() var adr_mon = adr_stats.new() var adr_tue = adr_stats.new() var adr_wed = adr_stats.new() var adr_thu = adr_stats.new() var adr_fri = adr_stats.new() var adr_sat = adr_stats.new() if timeframe.change("D") x = adr_mon dow = dayofweek(time , "America/New_York") if dow == dayofweek.tuesday x := adr_tue else if dow == dayofweek.wednesday x := adr_wed else if dow == dayofweek.thursday x := adr_thu else if dow == dayofweek.friday x := adr_fri else if dow == dayofweek.saturday x := adr_sat else if dow == dayofweek.sunday x := adr_sun if not na(adr_val) x.d_count += 1 if d_hi > d_adr_hi x.hit_adr_hi += 1 if d_lo < d_adr_lo x.hit_adr_lo += 1 if d_hi > d_adr_hi and d_lo < d_adr_lo x.hit_adr_both += 1 if close > d_adr_hi x.thru_adr_hi += 1 if close < d_adr_lo x.thru_adr_lo += 1 if fib_1_show if d_hi > d_open + (adr_val * fib_1_level) x.hit_fib_1_hi += 1 if d_lo < d_open - (adr_val * fib_1_level) x.hit_fib_1_lo += 1 if fib_2_show if d_hi > d_open + (adr_val * fib_2_level) x.hit_fib_2_hi += 1 if d_lo < d_open - (adr_val * fib_2_level) x.hit_fib_2_lo += 1 if fib_3_show if d_hi > d_open + (adr_val * fib_3_level) x.hit_fib_3_hi += 1 if d_lo < d_open - (adr_val * fib_3_level) x.hit_fib_3_lo += 1 if std_0_5_show if d_hi > d_adr_hi + (adr_val * std_dev_0_5) x.hit_std_0_5_hi += 1 if d_lo < d_adr_lo - (adr_val * std_dev_0_5) x.hit_std_0_5_lo += 1 if std_1_show if d_hi > d_adr_hi + (adr_val * std_dev_1) x.hit_std_1_hi += 1 if d_lo < d_adr_lo - (adr_val * std_dev_1) x.hit_std_1_lo += 1 if std_2_show if d_hi > d_adr_hi + (adr_val * std_dev_2) x.hit_std_2_hi += 1 if d_lo < d_adr_lo - (adr_val * std_dev_2) x.hit_std_2_lo += 1 if timeframe.change("D") d_open := open array.unshift(d_range, d_hi - d_lo) if array.size(d_range) > adr_days array.pop(d_range) if array.size(d_range) == adr_days adr_val := array.avg(d_range) d_adr_hi := open + (adr_val*std_x)/2 d_adr_lo := open - (adr_val*std_x)/2 d_hi := high d_lo := low else d_hi := math.max(high, d_hi) d_lo := math.min(low, d_lo) // Table functions get_table_pos(pos) => switch pos "Bottom Center" => position.bottom_center "Bottom Left" => position.bottom_left "Bottom Right" => position.bottom_right "Middle Center" => position.middle_center "Middle Left" => position.middle_left "Middle Right" => position.middle_right "Top Center" => position.top_center "Top Left" => position.top_left "Top Right" => position.top_right var _loc = get_table_pos(tbl_loc) get_table_size(size) => switch size 'Tiny' => size.tiny 'Small' => size.small 'Normal' => size.normal 'Large' => size.large 'Huge' => size.huge 'Auto' => size.auto var _size = get_table_size(tbl_size) fmt_sample(s, float pct, int count) => str.format("{0,number,percent}", pct) + (sample_size ? " ("+str.tostring(count)+")" : "") // Draw table if barstate.islast and show_stats var tbl = table.new(_loc, 100, 100, chart.bg_color, chart.fg_color, 2, chart.fg_color, 1) // Column headers (days + empty first cell) table.cell(tbl, 0, 0, "Level", text_size = _size) table.cell(tbl, 1, 0, "Mon", bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, 0, "Tue", bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, 0, "Wed", bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, 0, "Thu", bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, 0, "Fri", bgcolor = rch_color, text_size = _size) // Row headers and data var row = 1 table.cell(tbl, 0, row, "ADR High", text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_hi / adr_mon.d_count, adr_mon.hit_adr_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_hi / adr_tue.d_count, adr_tue.hit_adr_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_hi / adr_wed.d_count, adr_wed.hit_adr_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_hi / adr_thu.d_count, adr_thu.hit_adr_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_hi / adr_fri.d_count, adr_fri.hit_adr_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "ADR Low", text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_lo / adr_mon.d_count, adr_mon.hit_adr_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_lo / adr_tue.d_count, adr_tue.hit_adr_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_lo / adr_wed.d_count, adr_wed.hit_adr_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_lo / adr_thu.d_count, adr_thu.hit_adr_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_lo / adr_fri.d_count, adr_fri.hit_adr_lo), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "ADR High (Close)", text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_hi / adr_mon.d_count, adr_mon.thru_adr_hi), bgcolor = csd_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_hi / adr_tue.d_count, adr_tue.thru_adr_hi), bgcolor = csd_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_hi / adr_wed.d_count, adr_wed.thru_adr_hi), bgcolor = csd_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_hi / adr_thu.d_count, adr_thu.thru_adr_hi), bgcolor = csd_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_hi / adr_fri.d_count, adr_fri.thru_adr_hi), bgcolor = csd_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "ADR Low (Close)", text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_lo / adr_mon.d_count, adr_mon.thru_adr_lo), bgcolor = csd_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_lo / adr_tue.d_count, adr_tue.thru_adr_lo), bgcolor = csd_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_lo / adr_wed.d_count, adr_wed.thru_adr_lo), bgcolor = csd_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_lo / adr_thu.d_count, adr_thu.thru_adr_lo), bgcolor = csd_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_lo / adr_fri.d_count, adr_fri.thru_adr_lo), bgcolor = csd_color, text_size = _size) row := row + 1 if fib_1_show table.cell(tbl, 0, row, "Fib " + str.tostring(fib_1_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_hi / adr_mon.d_count, adr_mon.hit_fib_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_hi / adr_tue.d_count, adr_tue.hit_fib_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_hi / adr_wed.d_count, adr_wed.hit_fib_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_hi / adr_thu.d_count, adr_thu.hit_fib_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_hi / adr_fri.d_count, adr_fri.hit_fib_1_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_1_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_lo / adr_mon.d_count, adr_mon.hit_fib_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_lo / adr_tue.d_count, adr_tue.hit_fib_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_lo / adr_wed.d_count, adr_wed.hit_fib_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_lo / adr_thu.d_count, adr_thu.hit_fib_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_lo / adr_fri.d_count, adr_fri.hit_fib_1_lo), bgcolor = rch_color, text_size = _size) row := row + 1 if fib_2_show table.cell(tbl, 0, row, "Fib " + str.tostring(fib_2_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_hi / adr_mon.d_count, adr_mon.hit_fib_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_hi / adr_tue.d_count, adr_tue.hit_fib_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_hi / adr_wed.d_count, adr_wed.hit_fib_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_hi / adr_thu.d_count, adr_thu.hit_fib_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_hi / adr_fri.d_count, adr_fri.hit_fib_2_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_2_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_lo / adr_mon.d_count, adr_mon.hit_fib_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_lo / adr_tue.d_count, adr_tue.hit_fib_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_lo / adr_wed.d_count, adr_wed.hit_fib_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_lo / adr_thu.d_count, adr_thu.hit_fib_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_lo / adr_fri.d_count, adr_fri.hit_fib_2_lo), bgcolor = rch_color, text_size = _size) row := row + 1 if fib_3_show table.cell(tbl, 0, row, "Fib " + str.tostring(fib_3_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_hi / adr_mon.d_count, adr_mon.hit_fib_3_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_hi / adr_tue.d_count, adr_tue.hit_fib_3_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_hi / adr_wed.d_count, adr_wed.hit_fib_3_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_hi / adr_thu.d_count, adr_thu.hit_fib_3_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_hi / adr_fri.d_count, adr_fri.hit_fib_3_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_3_level), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_lo / adr_mon.d_count, adr_mon.hit_fib_3_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_lo / adr_tue.d_count, adr_tue.hit_fib_3_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_lo / adr_wed.d_count, adr_wed.hit_fib_3_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_lo / adr_thu.d_count, adr_thu.hit_fib_3_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_lo / adr_fri.d_count, adr_fri.hit_fib_3_lo), bgcolor = rch_color, text_size = _size) row := row + 1 if std_0_5_show table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_0_5), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_hi / adr_mon.d_count, adr_mon.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_hi / adr_tue.d_count, adr_tue.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_hi / adr_wed.d_count, adr_wed.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_hi / adr_thu.d_count, adr_thu.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_hi / adr_fri.d_count, adr_fri.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_0_5), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_lo / adr_mon.d_count, adr_mon.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_lo / adr_tue.d_count, adr_tue.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_lo / adr_wed.d_count, adr_wed.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_lo / adr_thu.d_count, adr_thu.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_lo / adr_fri.d_count, adr_fri.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size) row := row + 1 if std_1_show table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_1), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_hi / adr_mon.d_count, adr_mon.hit_std_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_hi / adr_tue.d_count, adr_tue.hit_std_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_hi / adr_wed.d_count, adr_wed.hit_std_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_hi / adr_thu.d_count, adr_thu.hit_std_1_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_hi / adr_fri.d_count, adr_fri.hit_std_1_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_1), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_lo / adr_mon.d_count, adr_mon.hit_std_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_lo / adr_tue.d_count, adr_tue.hit_std_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_lo / adr_wed.d_count, adr_wed.hit_std_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_lo / adr_thu.d_count, adr_thu.hit_std_1_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_lo / adr_fri.d_count, adr_fri.hit_std_1_lo), bgcolor = rch_color, text_size = _size) row := row + 1 if std_2_show table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_2), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_hi / adr_mon.d_count, adr_mon.hit_std_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_hi / adr_tue.d_count, adr_tue.hit_std_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_hi / adr_wed.d_count, adr_wed.hit_std_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_hi / adr_thu.d_count, adr_thu.hit_std_2_hi), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_hi / adr_fri.d_count, adr_fri.hit_std_2_hi), bgcolor = rch_color, text_size = _size) row := row + 1 table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_2), text_size = _size) table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_lo / adr_mon.d_count, adr_mon.hit_std_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_lo / adr_tue.d_count, adr_tue.hit_std_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_lo / adr_wed.d_count, adr_wed.hit_std_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_lo / adr_thu.d_count, adr_thu.hit_std_2_lo), bgcolor = rch_color, text_size = _size) table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_lo / adr_fri.d_count, adr_fri.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
Indicatore Pine Script®
di waxim1
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB** A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context. * See trend direction at a glance with SMAs. * Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200). * Highlight big regime shifts with special Golden/Death tags. * Read momentum and volatility with the candle heatmap. * Add Bollinger Bands if you want classic mean-reversion context. Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes. # What This Indicator Does (plain English) * **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead). * **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint. * **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out. * **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient. * **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them. * **Includes alert conditions** for Golden and Death Cross so you can automate notifications. --- # Settings — Simple Explanations ## Source * **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`. ## SMA 50 * **Show 50**: Turn the SMA(50) line on/off. * **Length 50**: How many bars to average. Lower = faster but noisier. * **Color 50** / **Width 50**: Visual style. * **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe. ## SMA 100 * **Show 100**: Turn the SMA(100) line on/off. * **Length 100**: Bars used for the mid-term trend. * **Color 100** / **Width 100**: Visual style. * **Timeframe 100**: Optional alternate timeframe for SMA(100). ## SMA 200 * **Show 200**: Turn the SMA(200) line on/off. * **Length 200**: Bars used for the long-term trend. * **Color 200** / **Width 200**: Visual style. * **Timeframe 200**: Optional alternate timeframe for SMA(200). ## Signals (crossover labels) * **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200). * **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint). * **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often. * **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish. ### Label Offset * **Offset mode**: Choose how to push labels away from price: * **Percent**: Offset is a % of price. * **ATR x**: Offset is ATR(14) × multiplier. * **Percent of price (%)**: Used when mode = Percent. * **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x. ### Label Colors * **Bull color** / **Bear color**: Background of triangle labels. * **Bull label text color** / **Bear label text color**: Text color inside the triangles. ## Golden / Death Cross * **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200. * **Golden label color** / **Golden text color**: Styling for Golden label. * **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200. * **Death label color** / **Death text color**: Styling for Death label. ## Candle Heatmap * **Enable heatmap candle colors**: Turns the heatmap on/off. * **Length**: Lookback for the regression midline and volatility measure. * **Deviation Multiplier**: Band width around the midline (bigger = wider). * **Volatility basis**: * **RMA Range** (smoothed high-low range) * **Stdev** (standard deviation of close) * **Upper/Middle/Lower color**: Gradient colors for the heatmap. * **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible. * **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring. ## Bollinger Bands (optional) * **Show Bollinger Bands**: Toggle the overlay on/off. * **Length**: Basis SMA length. * **StdDev Multiplier**: Distance of bands from the basis in standard deviations. * **Basis color** / **Band color**: Line colors for basis and bands. * **Bands fill transparency**: Opacity of the fill between upper/lower bands. --- # Features & How It Works ## 1) HTF-Safe SMAs Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars). ## 2) Crossover Labels (Three Pairs) * **50↔100**, **50↔200**, **100↔200**: * **Triangle Up** label when the first SMA crosses **above** the second. * **Triangle Down** label when it crosses **below**. * Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish). * **Debounce** spacing avoids repeated labels for the same pair too close together. ## 3) Golden / Death Cross Highlights * **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift). * **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift). * Separate styling so they stand out from regular cross labels. ## 4) Candle Heatmap * Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel. * Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish. * Helps you see momentum and “where price sits” relative to a dynamic channel. ## 5) Bollinger Bands (Optional) * Classic **basis SMA** ± **StdDev** bands. * Light visual context for mean-reversion and volatility expansion. ## 6) Alerts * **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200` * **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200` Add these to your alerts to get notified automatically. --- # Tips & Notes * For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes. * Use the **Trend Filter** to align signals with the broader stack and cut noise. * For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame. * Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Indicatore Pine Script®
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