412 lines
21 KiB
Plaintext
412 lines
21 KiB
Plaintext
//@version=6
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indicator("多周期EMA52_Pro", overlay=true, max_labels_count=500, max_lines_count=500)
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// ======================== 配置输入 ========================
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// 主控
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enableCTF = input.bool(true, "启用本级别", group="显示")
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enableHTF = input.bool(true, "启用长级别", group="显示")
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enableLTF = input.bool(true, "启用次级别", group="显示")
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maxHTFInput = input.int(10, "最多显示长级别数量", minval=1, maxval=12, group="显示")
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maxLTFInput = input.int(3, "最多显示次级别数量", minval=1, maxval=4, group="显示")
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protectAutoscale = input.bool(true, "防拉伸: 仅绘制可视区间内", group="显示")
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lookbackBars = input.int(300, "可视区间近多少根K线", minval=50, maxval=5000, group="显示")
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padPercent = input.float(2.0, "可视边界留白(%)", minval=0.0, maxval=20.0, step=0.1, group="显示")
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// 固定 12 周期开关（本级别也会跟随对应周期开关）
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showRes1 = input.bool(true, "显示 1m", group="级别开关")
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showRes2 = input.bool(true, "显示 3m", group="级别开关")
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showRes3 = input.bool(true, "显示 5m", group="级别开关")
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showRes4 = input.bool(true, "显示 15m", group="级别开关")
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showRes5 = input.bool(true, "显示 30m", group="级别开关")
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showRes6 = input.bool(true, "显示 45m", group="级别开关")
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showRes7 = input.bool(true, "显示 1h", group="级别开关")
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showRes8 = input.bool(true, "显示 2h", group="级别开关")
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showRes9 = input.bool(true, "显示 4h", group="级别开关")
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showRes10 = input.bool(true, "显示 6h", group="级别开关")
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showRes11 = input.bool(true, "显示 8h", group="级别开关")
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showRes12 = input.bool(true, "显示 12h", group="级别开关")
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// 视觉（虚线效果）
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dashLenHTF = input.int(6, "长级别虚线段长度", minval=1, maxval=50, group="线型")
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dashGapHTF = input.int(4, "长级别虚线间隔", minval=1, maxval=50, group="线型")
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dashLenLTF = input.int(2, "次级别虚线段长度", minval=1, maxval=50, group="线型")
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dashGapLTF = input.int(3, "次级别虚线间隔", minval=1, maxval=50, group="线型")
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lineWidthHTF = input.int(1, "长级别线宽", minval=1, maxval=4, group="线型")
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lineWidthLTF = input.int(1, "次级别线宽", minval=1, maxval=4, group="线型")
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lineWidthCTF = input.int(2, "本级别线宽", minval=1, maxval=4, group="线型")
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enableSmooth = input.bool(true, "平滑显示(EMA)", group="线型")
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smoothLenHTF = input.int(3, "长级别平滑长度", minval=1, maxval=50, group="线型")
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smoothLenLTF = input.int(3, "次级别平滑长度", minval=1, maxval=50, group="线型")
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smoothLenCTF = input.int(3, "本级别平滑长度", minval=1, maxval=50, group="线型")
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smoothMethod = input.string("ALMA", "平滑方法", options=["EMA","DEMA","TEMA","WMA","HMA","ALMA","LinReg"], group="线型")
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almaOffset = input.float(0.85, "ALMA偏移(0-1)", minval=0.0, maxval=1.0, step=0.05, group="线型")
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almaSigma = input.float(6.0, "ALMA Sigma", minval=0.5, maxval=10.0, step=0.5, group="线型")
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labelBgAlpha = input.int(85, "标签背景透明(0-100)", minval=0, maxval=100, group="标注")
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labelSize = input.string("normal", "标签字号", options=["tiny","small","normal","large","huge"], group="标注")
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labelOffsetBars = input.int(2, "标签右移K线的距离(根数)", minval=0, maxval=50, group="标注")
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// 常量上限（编译期固定，用于生成固定数量的 plot 位）
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const int MAX_HTF = 12
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const int MAX_LTF = 4
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// ======================== 工具函数 ========================
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f_dash(series float v, int phase, int dashLen, int dashGap) =>
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// 通过丢弃部分柱来营造虚线效果
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isShow = (bar_index + phase) % (dashLen + dashGap) < dashLen
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isShow ? v : na
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// 自定义 DEMA / TEMA（Pine 无内置 dema/tema）
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f_dema(series float v, int len) =>
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ema1 = ta.ema(v, len)
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ema2 = ta.ema(ema1, len)
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2.0 * ema1 - ema2
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f_tema(series float v, int len) =>
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ema1 = ta.ema(v, len)
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ema2 = ta.ema(ema1, len)
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ema3 = ta.ema(ema2, len)
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3.0 * (ema1 - ema2) + ema3
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// 通用平滑（仅用于显示）
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f_smooth(series float v, int len) =>
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not enableSmooth or len <= 1 ? v :
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smoothMethod == "EMA" ? ta.ema(v, len) :
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smoothMethod == "DEMA" ? f_dema(v, len) :
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smoothMethod == "TEMA" ? f_tema(v, len) :
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smoothMethod == "WMA" ? ta.wma(v, len) :
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smoothMethod == "HMA" ? ta.hma(v, len) :
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smoothMethod == "ALMA" ? ta.alma(v, len, almaOffset, almaSigma) :
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ta.linreg(v, len, 0)
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f_strToSize(string s) => switch s
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"tiny" => size.tiny
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"small" => size.small
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"normal" => size.normal
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"large" => size.large
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=> size.huge
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f_showRes(string tf) => switch tf
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"1" => showRes1
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"3" => showRes2
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"5" => showRes3
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"15" => showRes4
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"30" => showRes5
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"45" => showRes6
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"60" => showRes7
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"120" => showRes8
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"240" => showRes9
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"360" => showRes10
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"480" => showRes11
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"720" => showRes12
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=> true
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// 颜色调色板（循环使用）
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var color[] PALETTE = array.new_color()
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if barstate.isfirst and array.size(PALETTE) == 0
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array.push(PALETTE, color.new(color.teal, 0))
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array.push(PALETTE, color.new(color.orange, 0))
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array.push(PALETTE, color.new(color.fuchsia,0))
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array.push(PALETTE, color.new(color.aqua, 0))
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array.push(PALETTE, color.new(color.yellow, 0))
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array.push(PALETTE, color.new(color.purple, 0))
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array.push(PALETTE, color.new(color.lime, 0))
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array.push(PALETTE, color.new(color.red, 0))
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array.push(PALETTE, color.new(color.blue, 0))
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array.push(PALETTE, color.new(color.navy, 0))
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array.push(PALETTE, color.new(color.maroon, 0))
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array.push(PALETTE, color.new(color.silver, 0))
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f_paletteColor(int idx) =>
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sz = math.max(1, array.size(PALETTE))
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array.get(PALETTE, idx % sz)
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// 计算可视范围边界（近 N 根 K 线 + 百分比留白）
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rangeHi = ta.highest(high, lookbackBars)
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rangeLo = ta.lowest(low, lookbackBars)
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rangeSpan = rangeHi - rangeLo
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pad = rangeSpan * padPercent * 0.01
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minY = rangeLo - pad
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maxY = rangeHi + pad
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// 仅在可视区间内绘制（超出返回 na，以避免影响自动缩放）。
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f_gate(series float v) => protectAutoscale ? (v >= minY and v <= maxY ? v : na) : v
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// 检查是否在可视区间内
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f_inRange(series float v) => protectAutoscale ? (v >= minY and v <= maxY) : true
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// 周期字符串美化（如 1 -> 1m, 60 -> 1h, D -> 1D, W -> 1W, 3M -> 3M）
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f_prettyTf(string tf) =>
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s = timeframe.in_seconds(tf)
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string out = tf
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if not na(s)
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if s < 3600
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mins = math.max(1, math.round(s / 60))
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out := str.tostring(mins) + 'm'
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else if s % 3600 == 0 and s < 86400
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hrs = math.round(s / 3600)
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out := str.tostring(hrs) + 'h'
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else if s % 86400 == 0 and s < 7 * 86400
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days = math.round(s / 86400)
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out := str.tostring(days) + 'D'
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else if s % (7 * 86400) == 0 and s < 30 * 86400
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weeks = math.round(s / (7 * 86400))
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out := str.tostring(weeks) + 'W'
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else
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out := tf
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else
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// 月等返回 na 的分辨率保持原样（M/3M）
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out := tf
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out
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// ======================== 标准时间周期表 ========================
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// 备注：TradingView 分辨率字符串 —— 分钟: "1","3","5"...；小时: "60","120"...；
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// 仅保留分钟与小时级别。
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var string[] ALL_RES = array.new_string()
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if barstate.isfirst and array.size(ALL_RES) == 0
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// 由低到高，便于筛选
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// 分钟
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array.push(ALL_RES, "1")
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array.push(ALL_RES, "3")
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array.push(ALL_RES, "5")
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array.push(ALL_RES, "15")
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array.push(ALL_RES, "30")
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array.push(ALL_RES, "45")
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// 小时（以分钟表示）
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array.push(ALL_RES, "60")
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array.push(ALL_RES, "120")
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array.push(ALL_RES, "240")
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array.push(ALL_RES, "360")
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array.push(ALL_RES, "480")
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array.push(ALL_RES, "720")
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// ======================== 周期间关系与选择 ========================
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curResStr = timeframe.period
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curResSec = timeframe.in_seconds(curResStr)
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// 构建长/次级别列表
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var string[] htfRes = array.new_string()
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var string[] ltfRes = array.new_string()
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array.clear(htfRes)
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array.clear(ltfRes)
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for i = 0 to array.size(ALL_RES) - 1
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res = array.get(ALL_RES, i)
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rsec = timeframe.in_seconds(res)
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// timeframe.in_seconds 不支持时返回 na，需跳过
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if na(rsec)
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continue
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if rsec > curResSec
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array.push(htfRes, res)
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else if rsec < curResSec
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array.push(ltfRes, res)
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// 选取靠近当前周期的若干次级别（更有参考意义）：取 ltfRes 的末尾（更接近当前）
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var string[] ltfSel = array.new_string()
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array.clear(ltfSel)
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ltfsz = array.size(ltfRes)
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if ltfsz > 0
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take = math.min(maxLTFInput, MAX_LTF, ltfsz)
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for k = 0 to take - 1
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array.push(ltfSel, array.get(ltfRes, ltfsz - 1 - k))
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// 限制长级别数量
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htfCountSelected = math.min(array.size(htfRes), maxHTFInput, MAX_HTF)
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ltfCountSelected = math.min(array.size(ltfSel), MAX_LTF)
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// ======================== 计算各周期 EMA52 ========================
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// 预分配数值数组（保持固定最大长度）
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var float[] htfVals = array.new_float()
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var float[] ltfVals = array.new_float()
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var float[] htfLabelVals = array.new_float()
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var float[] ltfLabelVals = array.new_float()
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float ctfVal = na
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float ctfLabelVal = na
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if barstate.isfirst
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for _i = 0 to MAX_HTF - 1
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array.push(htfVals, na)
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array.push(htfLabelVals, na)
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for _j = 0 to MAX_LTF - 1
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array.push(ltfVals, na)
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array.push(ltfLabelVals, na)
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// 填充长级别数值
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for i = 0 to MAX_HTF - 1
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float val = na
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float labelVal = na
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if enableHTF and i < htfCountSelected
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tfStr = array.get(htfRes, i)
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if f_showRes(tfStr)
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// 计算该长级别的 EMA52
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val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
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// 标签不跟随虚线断续，仅跟随级别开关与可视区间
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labelVal := f_gate(f_smooth(val, smoothLenHTF))
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array.set(htfVals, i, val)
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array.set(htfLabelVals, i, labelVal)
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// 填充次级别数值
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for i = 0 to MAX_LTF - 1
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float val = na
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float labelVal = na
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if enableLTF and i < ltfCountSelected
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tfStr = array.get(ltfSel, i)
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if f_showRes(tfStr)
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// 计算该次级别的 EMA52（低级别向上合成，注意其更频繁更新）
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val := request.security(syminfo.tickerid, tfStr, ta.ema(close, 52), barmerge.gaps_off, barmerge.lookahead_off)
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// 标签不跟随虚线断续，仅跟随级别开关与可视区间
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labelVal := f_gate(f_smooth(val, smoothLenLTF))
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array.set(ltfVals, i, val)
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array.set(ltfLabelVals, i, labelVal)
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// 本级别 EMA52
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if enableCTF and f_showRes(curResStr)
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ctfVal := ta.ema(close, 52)
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ctfLabelVal := (enableCTF and f_showRes(curResStr)) ? f_gate(f_smooth(ctfVal, smoothLenCTF)) : na
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// ======================== 绘制（虚线 + 标签） ========================
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// 顶层固定 plot（避免在局部/循环中调用 plot）
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plot((enableCTF and f_showRes(curResStr)) ? f_gate(f_smooth(ctfVal, smoothLenCTF)) : na, title='CTF EMA52', color=color.new(color.white, 0), linewidth=lineWidthCTF, style=plot.style_line)
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plot((enableHTF and 0 < htfCountSelected and not na(array.get(htfVals, 0))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 0), smoothLenHTF), 0 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 1', color=f_paletteColor(0), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 1 < htfCountSelected and not na(array.get(htfVals, 1))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 1), smoothLenHTF), 1 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 2', color=f_paletteColor(1), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 2 < htfCountSelected and not na(array.get(htfVals, 2))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 2), smoothLenHTF), 2 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 3', color=f_paletteColor(2), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 3 < htfCountSelected and not na(array.get(htfVals, 3))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 3), smoothLenHTF), 3 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 4', color=f_paletteColor(3), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 4 < htfCountSelected and not na(array.get(htfVals, 4))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 4), smoothLenHTF), 4 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 5', color=f_paletteColor(4), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 5 < htfCountSelected and not na(array.get(htfVals, 5))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 5), smoothLenHTF), 5 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 6', color=f_paletteColor(5), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 6 < htfCountSelected and not na(array.get(htfVals, 6))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 6), smoothLenHTF), 6 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 7', color=f_paletteColor(6), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 7 < htfCountSelected and not na(array.get(htfVals, 7))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 7), smoothLenHTF), 7 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 8', color=f_paletteColor(7), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 8 < htfCountSelected and not na(array.get(htfVals, 8))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 8), smoothLenHTF), 8 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 9', color=f_paletteColor(8), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 9 < htfCountSelected and not na(array.get(htfVals, 9))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 9), smoothLenHTF), 9 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 10', color=f_paletteColor(9), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 10 < htfCountSelected and not na(array.get(htfVals, 10))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 10), smoothLenHTF), 10 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 11', color=f_paletteColor(10), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableHTF and 11 < htfCountSelected and not na(array.get(htfVals, 11))) ? f_gate(f_dash(f_smooth(array.get(htfVals, 11), smoothLenHTF), 11 * 2, dashLenHTF, dashGapHTF)) : na, title='HTF EMA52 12', color=f_paletteColor(11), linewidth=lineWidthHTF, style=plot.style_line)
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plot((enableLTF and 0 < ltfCountSelected and not na(array.get(ltfVals, 0))) ? f_gate(f_dash(f_smooth(array.get(ltfVals, 0), smoothLenLTF), 0 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 1', color=color.new(f_paletteColor(0), 30), linewidth=lineWidthLTF, style=plot.style_line)
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plot((enableLTF and 1 < ltfCountSelected and not na(array.get(ltfVals, 1))) ? f_gate(f_dash(f_smooth(array.get(ltfVals, 1), smoothLenLTF), 1 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 2', color=color.new(f_paletteColor(1), 30), linewidth=lineWidthLTF, style=plot.style_line)
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plot((enableLTF and 2 < ltfCountSelected and not na(array.get(ltfVals, 2))) ? f_gate(f_dash(f_smooth(array.get(ltfVals, 2), smoothLenLTF), 2 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 3', color=color.new(f_paletteColor(2), 30), linewidth=lineWidthLTF, style=plot.style_line)
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plot((enableLTF and 3 < ltfCountSelected and not na(array.get(ltfVals, 3))) ? f_gate(f_dash(f_smooth(array.get(ltfVals, 3), smoothLenLTF), 3 * 3 + 1, dashLenLTF, dashGapLTF)) : na, title='LTF EMA52 4', color=color.new(f_paletteColor(3), 30), linewidth=lineWidthLTF, style=plot.style_line)
|
||
|
||
// 右侧标签（仅在最后一根柱更新，避免重复创建）
|
||
var label[] htfLabels = array.new_label()
|
||
var label[] ltfLabels = array.new_label()
|
||
var label ctfLabel = na
|
||
var string lastTicker = na
|
||
var string lastTf = na
|
||
if barstate.isfirst
|
||
for _i = 0 to MAX_HTF - 1
|
||
array.push(htfLabels, na)
|
||
for _j = 0 to MAX_LTF - 1
|
||
array.push(ltfLabels, na)
|
||
lastTicker := syminfo.tickerid
|
||
lastTf := timeframe.period
|
||
|
||
// 更新/清理标签
|
||
// 如果品种或周期变化，清理旧标签
|
||
symbolChanged = lastTicker != syminfo.tickerid
|
||
tfChanged = lastTf != timeframe.period
|
||
if symbolChanged or tfChanged
|
||
for i = 0 to MAX_HTF - 1
|
||
lab = array.get(htfLabels, i)
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(htfLabels, i, na)
|
||
for i = 0 to MAX_LTF - 1
|
||
lab = array.get(ltfLabels, i)
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(ltfLabels, i, na)
|
||
if not na(ctfLabel)
|
||
label.delete(ctfLabel)
|
||
ctfLabel := na
|
||
lastTicker := syminfo.tickerid
|
||
lastTf := timeframe.period
|
||
|
||
if barstate.islast
|
||
// 长级别
|
||
for i = 0 to MAX_HTF - 1
|
||
lab = array.get(htfLabels, i)
|
||
if enableHTF and i < htfCountSelected
|
||
tfStr = array.get(htfRes, i)
|
||
v = array.get(htfLabelVals, i)
|
||
col = f_paletteColor(i)
|
||
txt = f_prettyTf(tfStr) + ' ' + str.tostring(v, format.mintick)
|
||
// 与曲线显示条件同步：平滑后且可视区间内才显示标签
|
||
if na(v)
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(htfLabels, i, na)
|
||
else
|
||
if na(lab)
|
||
lab := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha), size=f_strToSize(labelSize))
|
||
array.set(htfLabels, i, lab)
|
||
else
|
||
label.set_xy(lab, bar_index + labelOffsetBars, v)
|
||
label.set_text(lab, txt)
|
||
label.set_textcolor(lab, col)
|
||
label.set_color(lab, color.new(col, labelBgAlpha))
|
||
label.set_style(lab, label.style_label_left)
|
||
label.set_size(lab, f_strToSize(labelSize))
|
||
else
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(htfLabels, i, na)
|
||
|
||
// 次级别
|
||
for i = 0 to MAX_LTF - 1
|
||
lab = array.get(ltfLabels, i)
|
||
if enableLTF and i < ltfCountSelected
|
||
tfStr = array.get(ltfSel, i)
|
||
v = array.get(ltfLabelVals, i)
|
||
base = f_paletteColor(i)
|
||
col = color.new(base, 0)
|
||
txt = f_prettyTf(tfStr) + ' ' + str.tostring(v, format.mintick)
|
||
if na(v)
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(ltfLabels, i, na)
|
||
else
|
||
if na(lab)
|
||
lab := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10), size=f_strToSize(labelSize))
|
||
array.set(ltfLabels, i, lab)
|
||
else
|
||
label.set_xy(lab, bar_index + labelOffsetBars, v)
|
||
label.set_text(lab, txt)
|
||
label.set_textcolor(lab, col)
|
||
label.set_color(lab, color.new(col, labelBgAlpha + 10 > 100 ? 100 : labelBgAlpha + 10))
|
||
label.set_style(lab, label.style_label_left)
|
||
label.set_size(lab, f_strToSize(labelSize))
|
||
else
|
||
if not na(lab)
|
||
label.delete(lab)
|
||
array.set(ltfLabels, i, na)
|
||
|
||
// 本级别
|
||
if enableCTF and f_showRes(curResStr)
|
||
v = ctfLabelVal
|
||
col = color.new(color.white, 0)
|
||
txt = f_prettyTf(curResStr) + ' ' + str.tostring(v, format.mintick)
|
||
if na(v)
|
||
if not na(ctfLabel)
|
||
label.delete(ctfLabel)
|
||
ctfLabel := na
|
||
else
|
||
if na(ctfLabel)
|
||
ctfLabel := label.new(bar_index + labelOffsetBars, v, txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=col, color=color.new(col, labelBgAlpha), size=f_strToSize(labelSize))
|
||
else
|
||
label.set_xy(ctfLabel, bar_index + labelOffsetBars, v)
|
||
label.set_text(ctfLabel, txt)
|
||
label.set_textcolor(ctfLabel, col)
|
||
label.set_color(ctfLabel, color.new(col, labelBgAlpha))
|
||
label.set_style(ctfLabel, label.style_label_left)
|
||
label.set_size(ctfLabel, f_strToSize(labelSize))
|
||
else
|
||
if not na(ctfLabel)
|
||
label.delete(ctfLabel)
|
||
ctfLabel := na
|
||
|
||
// ======================== 备注 ========================
|
||
// 1) 当前周期通过 timeframe.period 自动识别，并用 timeframe.in_seconds(
|
||
// ) 转换成秒以进行相对大小比较。
|
||
// 2) 长级别/次级别集合从标准分辨率表中过滤得出，绘图数量受 MAX_* 与输入上限控制。
|
||
// 3) 虚线效果通过在 plot 中周期性输出 na 实现，性能优于逐柱绘制 line 对象。
|
||
// 4) 标签在最后一根柱更新，避免过量对象；颜色与曲线一致。
|
||
// 5) 次级别（低于当前）EMA52 也计算并显示，更新频率更高，默认更淡。
|
||
|
||
|