Pine Script如何引用历史K线数据并在Ichimoku指标对应位置绘制标记

1. 历史K线数值获取说明 #

• Pine Script的历史引用运算符[]默认以当前K线为索引0，填入正整数n即可获取往前第n根K线的对应数值，不需要写负数
  • 获取往前30根K线最高价：h = high[30]
  • 获取往前30根K线的自定义指标值：hist_TKk = TKk[30]、hist_KJk = KJk[30]、hist_CSk = CSk[30]

2. 指定位置绘制标记实现 #

用plotshape函数可以实现你要的绿色小点绘制需求：

• 绘制在目标K线下方：设置location = location.belowbar
• 绘制在TKk对应价位：直接将y参数设置为对应的历史TKk值即可

3. 三者位置关系判断 #

直接对三个历史值做大小比较即可，可根据比较结果输出不同的标记颜色或者标签内容：

// 判断上下关系示例
rank_condition = hist_TKk > hist_KJk and hist_KJk > hist_CSk ? 1 : hist_CSk > hist_KJk and hist_KJk > hist_TKk ? -1 : 0

完整修改后的一目均衡表代码 #

//@version=5
indicator("Ichimoku 历史值标记", overlay=true)

res = input.timeframe(title='Time Frame', defval='15')
TKlength = input.int(10, 'Tenkansen Length', minval=1)
KJlength = input.int(30, 'Kijunsen Length', minval=1)
CSHSlength = input.int(30, 'Chikouspan Length/Horizontal Shift', minval=1)
SBlength = input.int(60, 'SenkouspanB Length', minval=1)
SAlength = input.int(30, 'SenkouspanA Length', minval=1)
// 新增输入项：可自定义要查询的历史K线偏移量
hist_offset = input.int(30, "历史K线偏移量", minval=1)

TK = math.avg(ta.lowest(TKlength), ta.highest(TKlength))
KJ = math.avg(ta.lowest(KJlength), ta.highest(KJlength))
CS = close
SB = math.avg(ta.lowest(SBlength), ta.highest(SBlength))
SA = math.avg(TK, KJ)
TKk = request.security(syminfo.tickerid, res, TK)
KJk = request.security(syminfo.tickerid, res, KJ)
CSk = request.security(syminfo.tickerid, res, CS)
SBk = request.security(syminfo.tickerid, res, SB)
SAk = request.security(syminfo.tickerid, res, SA)

// 原指标绘制逻辑
plot(TKk, linewidth=2, color=color.new(color.blue, 0), title='TenkanSen')
plot(KJk, linewidth=2, color=color.new(color.red, 0), title='KijunSen')
plot(CSk, offset=-CSHSlength, linewidth=2, color=color.new(#DDA0DD, 0), title='ChikouSpan')
SenkouA = plot(SAk, offset=CSHSlength, linewidth=1, color=color.new(color.green, 0), title='SenkouSpanA')
SenkouB = plot(SBk, offset=CSHSlength, linewidth=1, color=color.new(color.purple, 0), title='SenkouSpanB')
fill(SenkouA, SenkouB, color=SAk > SBk ? color.green : color.red, transp=90)

// ========== 新增历史值处理逻辑 ==========
// 获取指定偏移量的历史值
hist_TKk = TKk[hist_offset]
hist_KJk = KJk[hist_offset]
hist_CSk = CSk[hist_offset]

// 绘制目标K线下方的绿色小点
plotshape(barstate.islast, location=location.belowbar, offset=-hist_offset, style=shape.circle, color=color.green, size=size.small)

// 绘制对应位置的TKk/KJk/CSk标记点，颜色和原指标保持一致
plot(hist_TKk, offset=-hist_offset, style=plot.style_circles, color=color.blue, size=size.tiny, title="历史TKk")
plot(hist_KJk, offset=-hist_offset, style=plot.style_circles, color=color.red, size=size.tiny, title="历史KJk")
plot(hist_CSk, offset=-hist_offset, style=plot.style_circles, color=#DDA0DD, size=size.tiny, title="历史CSk")

// 判断三者上下位置关系并显示标签
var label hist_label = na
if barstate.islast
    // 排序得到从高到低的顺序
    val_arr = array.new_float()
    array.push(val_arr, hist_TKk)
    array.push(val_arr, hist_KJk)
    array.push(val_arr, hist_CSk)
    array.sort(val_arr, order.descending)
    rank_text = str.format("前%s根K线数值排序(高→低):\n%.2f\n%.2f\n%.2f", str.tostring(hist_offset), array.get(val_arr, 0), array.get(val_arr, 1), array.get(val_arr, 2))
    hist_label := label.new(bar_index - hist_offset, high[hist_offset], rank_text, color=color.white, textcolor=color.black, style=label.style_label_down)

内容的提问来源于stack exchange，提问作者Babakartal