关于Linear Regression Candles指标特定蜡烛信号代码逻辑的技术咨询

关键变量拆解 #

要识别目标信号，先明确原代码里的核心变量：

• bclose: 线性回归处理后的收盘价（若关闭LinReg选项则为原始收盘价）
• r: 蜡烛颜色判定标记，r = bopen < bclose，值为true时是绿色蜡烛，false时是红色蜡烛
• signal: 白色信号线，根据设置为bclose的SMA或EMA均线

目标信号的判断条件 #

1. 红色蜡烛收于白色信号线下方 #

红色蜡烛对应r为false，同时bclose低于signal，条件表达式：

redCandleBelowSignal = not r and bclose < signal

2. 绿色蜡烛收于白色信号线上方 #

绿色蜡烛对应r为true，同时bclose高于signal，条件表达式：

greenCandleAboveSignal = r and bclose > signal

复用示例 #

你可以将上述条件整合到自定义指标或策略中，以下是标记信号点的示例代码：

//@version=5
indicator("LinReg Candles 信号复用示例", overlay=true)

// 复制原指标核心参数与计算逻辑
signal_length = input.int(title='Signal Smoothing', minval=1, maxval=200, defval=11)
sma_signal = input(title='Simple MA (Signal Line)', defval=true)
lin_reg = input(title='Lin Reg', defval=true)
linreg_length = input.int(title='Linear Regression Length', minval=1, maxval=200, defval=11)

bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open
bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close
r = bopen < bclose
signal = sma_signal ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length)

// 定义目标信号
redCandleBelowSignal = not r and bclose < signal
greenCandleAboveSignal = r and bclose > signal

// 可视化标记信号
plotshape(redCandleBelowSignal, title="Red Below Signal", location=location.belowbar, color=color.red, style=shape.triangledown, size=size.small)
plotshape(greenCandleAboveSignal, title="Green Above Signal", location=location.abovebar, color=color.green, style=shape.triangleup, size=size.small)

// 还原原指标的蜡烛与信号线绘制
plotcandle(r ? bopen : na, r ? ta.linreg(high, linreg_length, 0) : na, r ? ta.linreg(low, linreg_length, 0) : na, r ? bclose : na, color=color.green, wickcolor=color.green, bordercolor=color.green)
plotcandle(r ? na : bopen, r ? na : ta.linreg(high, linreg_length, 0) : na, r ? na : ta.linreg(low, linreg_length, 0) : na, r ? na : bclose, color=color.red, wickcolor=color.red, bordercolor=color.red)
plot(signal, color=color.white)

原指标参考代码 #

//@version=5
indicator(title='Humble LinReg Candles', shorttitle='LinReg Candles', format=format.price, precision=4, overlay=true)

signal_length = input.int(title='Signal Smoothing', minval=1, maxval=200, defval=11)
sma_signal = input(title='Simple MA (Signal Line)', defval=true)

lin_reg = input(title='Lin Reg', defval=true)
linreg_length = input.int(title='Linear Regression Length', minval=1, maxval=200, defval=11)

bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open
bhigh = lin_reg ? ta.linreg(high, linreg_length, 0) : high
blow = lin_reg ? ta.linreg(low, linreg_length, 0) : low
bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close

r = bopen < bclose

signal = sma_signal ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length)

plotcandle(r ? bopen : na, r ? bhigh : na, r ? blow : na, r ? bclose : na, title='LinReg Candles', color=color.green, wickcolor=color.green, bordercolor=color.green, editable=true)
plotcandle(r ? na : bopen, r ? na : bhigh, r ? na : blow, r ? na : bclose, title='LinReg Candles', color=color.red, wickcolor=color.red, bordercolor=color.red, editable=true)

plot(signal, color=color.new(color.white, 0))

内容的提问来源于stack exchange，提问作者Null isTrue