可以称之为“回归趋势”。 pine 脚本中的工具？

Question

TradingView的UI中有这个方便的回归趋势工具，它可以生成指定时间段的趋势通道。

我正在尝试创建一个 pine 脚本来使用此回归趋势并自动生成过去 1 个月、3 个月、6 个月的趋势通道，然后分析它们的趋势强度。

不过，我已经检查了他们的 Pine 脚本手册n而且似乎没有 API 可供我在 pine 脚本中调用该工具。

我的问题是，

• 是否可以使用 pine 脚本调用此“回归趋势”工具？
• 如果不可能，有没有办法在 Pine Script 中生成趋势通道并计算趋势强度？

请参阅下图了解我想要完成的任务。

Answer 1

回答我自己的问题。以下脚本创建与回归工具相同的趋势线。请注意，该脚本在 Pine Script v5 env 中运行。

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © legend507

//@version=5
indicator("Linear regression trend lines", overlay=true)

// Config group 1 - Controls # of days to use for trendline calc and which data to use (open or close).
group1 = "LINEAR REGRESSION SETTING"
lengthInput = input.int(30, title="Length", minval = 1, maxval = 5000, group=group1)  // By default use 30 bars. Use 1 bar = 1 day then it's roughly 1 month ago.
sourceInput = input.source(close, title="Source", group=group1)

// Config groups 2 - Controls if a line is visible.
group2 = "LINEAR REGRESSION SWITCH"
useDev1Input = input.bool(true, title="Large LinReg On / Off", group=group2)
useDev2Input = input.bool(true, title="Medium LinReg On / Off", group=group2)
useDev3Input = input.bool(true, title="Small LinReg On / Off", group=group2)

useUpperDevInput = true
upperMultInput = 3.0
useLowerDevInput = true
lowerMultInput = 3.0
useUpperDevInput2 = true
upperMultInput2 = 2.0
useLowerDevInput2 = true
lowerMultInput2 = 2.0
useUpperDevInput3 = true
upperMultInput3 = 1.0
useLowerDevInput3 = true
lowerMultInput3 = 1.0

// Config group 3 - Controls if lines are extended longer on the left / right.
group3 = "LINEAR REGRESSION EXTEND LINES"
extendLeftInput = input.bool(false, "Extend Lines Left", group=group3)
extendRightInput = input.bool(true, "Extend Lines Right", group=group3)
extendStyle = switch
    extendLeftInput and extendRightInput => extend.both
    extendLeftInput => extend.left
    extendRightInput => extend.right
    => extend.none

// Config group 4 - Controls line width.
group4 = "LINEAR REGRESSION WIDTH"
a_lwidth = input.int(2, title='Large LinReg Width', minval=0, maxval=10, group=group4)
b_lwidth = input.int(1, title='Medium LinReg Width', minval=0, maxval=10, group=group4)
c_lwidth = input.int(1, title='Small LinReg Width', minval=0, maxval=10, group=group4)
d_lwidth = input.int(2, title='Base Line LinReg Width', minval=0, maxval=10, group=group4)

// Config group 5 - Controls line solid, dotted, dashed, etc.
group5 = "LINEAR REGRESSION STYLE"
A_LineStyle_Type = input.string(title='Large LinReg Type', defval='Dotted', options=['Dashed', 'Dotted', 'Solid'], group=group5)
A_Line_Type = A_LineStyle_Type == 'Dashed' ? line.style_dashed : A_LineStyle_Type == 'Dotted' ? line.style_dotted : line.style_solid
B_LineStyle_Type = input.string(title='Medium LinReg Type', defval='Solid', options=['Dashed', 'Dotted', 'Solid'], group=group5)
B_Line_Type = B_LineStyle_Type == 'Dashed' ? line.style_dashed : B_LineStyle_Type == 'Dotted' ? line.style_dotted : line.style_solid
C_LineStyle_Type = input.string(title='Small LinReg Type', defval='Dashed', options=['Dashed', 'Dotted', 'Solid'], group=group5)
C_Line_Type = C_LineStyle_Type == 'Dashed' ? line.style_dashed : C_LineStyle_Type == 'Dotted' ? line.style_dotted : line.style_solid
D_LineStyle_Type = input.string(title='Base Line LinReg Type', defval='Solid', options=['Dashed', 'Dotted', 'Solid'], group=group5)
D_Line_Type = D_LineStyle_Type == 'Dashed' ? line.style_dashed : D_LineStyle_Type == 'Dotted' ? line.style_dotted : line.style_solid

// Config group 6 - Controls line colors.
group6 = "LINEAR REGRESSION COLOR"
colorLarge = input.color(color.new(#ffffff, 0), "Large Linreg", inline=group6, group=group6)  // Outer line color default: white
colorMedium = input.color(color.new(#ff0000, 0), "Medium Linreg", inline=group6, group=group6)  // Middle line color defaul: red
colorSmall = input.color(color.new(#ffa500, 0), "Small Linreg", inline=group6, group=group6)  // Narror line color default: orange
colorBase = input.color(color.new(#0c3299, 0), "Base Line", inline=group6, group=group6)  // Baseline color default: blue

// Calculate slope based on input parameter & # of bars to use.
// (This slope calculation is genius.)
calcSlope(source, length) =>
    max_bars_back(source, 5000)
    // Check if current bar is last or we are only using 1 bar to calculate slope.
    if not barstate.islast or length <= 1
        [float(na), float(na), float(na)]
    else
        sumX = 0.0
        sumY = 0.0
        sumXSqr = 0.0
        sumXY = 0.0
        for i = 0 to length - 1 by 1
            val = source[i]
            per = i + 1.0
            sumX += per  // Sum of 1, 2, 3, ... until length
            sumY += val  // Sum of price value (default: close)
            sumXSqr += per * per
            sumXY += val * per
        slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
        average = sumY / length
        intercept = average - slope * sumX / length + slope
        [slope, average, intercept]
        
// Slope, average, intercept.
[s, a, i] = calcSlope(sourceInput, lengthInput)
    
// Calculate standard deviation.
calcDev(source, length, slope, average, intercept) =>
    upDev = 0.0
    dnDev = 0.0
    stdDevAcc = 0.0
    dsxx = 0.0
    dsyy = 0.0
    dsxy = 0.0
    periods = length - 1
    daY = intercept + slope * periods / 2
    val = intercept
    for j = 0 to periods by 1
        price = high[j] - val
        if price > upDev
            upDev := price
        price := val - low[j]
        if price > dnDev
            dnDev := price
        price := source[j]
        dxt = price - average
        dyt = val - daY
        price -= val
        stdDevAcc += price * price
        dsxx += dxt * dxt
        dsyy += dyt * dyt
        dsxy += dxt * dyt
        val += slope
    stdDev = math.sqrt(stdDevAcc / (periods == 0 ? 1 : periods))
    pearsonR = dsxx == 0 or dsyy == 0 ? 0 : dsxy / math.sqrt(dsxx * dsyy)
    [stdDev, pearsonR, upDev, dnDev]
    
[stdDev, pearsonR, upDev, dnDev] = calcDev(sourceInput, lengthInput, s, a, i)

// Draw trendlines based on returns of calcSlope and calcDev.
drawTrendlines(lengthInput, s, a, i, stdDev, pearsonR, upDev, dnDev) =>
    // linreg base function
    startPrice = i + s * (lengthInput - 1)
    endPrice = i
    var line baseLine = na
    if na(baseLine) and not na(startPrice)
        baseLine := line.new(bar_index - lengthInput + 1, startPrice, bar_index, endPrice, width=d_lwidth, style=D_Line_Type, extend=extendStyle, color=colorBase)
    else
        line.set_xy1(baseLine, bar_index - lengthInput + 1, startPrice)
        line.set_xy2(baseLine, bar_index, endPrice)
        na

    // large linreg function
    upperStartPrice = startPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev)
    upperEndPrice = endPrice + (useUpperDevInput ? upperMultInput * stdDev : upDev)
    var line upper = na
    lowerStartPrice = startPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev)
    lowerEndPrice = endPrice + (useLowerDevInput ? -lowerMultInput * stdDev : -dnDev)
    var line lower = na
    if na(upper) and not na(upperStartPrice)
        upper := useDev1Input ? line.new(bar_index - lengthInput + 1, upperStartPrice, bar_index, upperEndPrice, width=a_lwidth, style=A_Line_Type, extend=extendStyle, color=colorLarge) : na
    else
        line.set_xy1(upper, bar_index - lengthInput + 1, upperStartPrice)
        line.set_xy2(upper, bar_index, upperEndPrice)
        na
    if na(lower) and not na(lowerStartPrice)
        lower := useDev1Input ? line.new(bar_index - lengthInput + 1, lowerStartPrice, bar_index, lowerEndPrice, width=a_lwidth, style=A_Line_Type, extend=extendStyle, color=colorLarge) : na
    else
        line.set_xy1(lower, bar_index - lengthInput + 1, lowerStartPrice)
        line.set_xy2(lower, bar_index, lowerEndPrice)
        na

    // medium linreg function
    upperStartPrice2 = startPrice + (useUpperDevInput2 ? upperMultInput2 * stdDev : upDev)
    upperEndPrice2 = endPrice + (useUpperDevInput2 ? upperMultInput2 * stdDev : upDev)
    var line upper2 = na
    lowerStartPrice2 = startPrice + (useLowerDevInput2 ? -lowerMultInput2 * stdDev : -dnDev)
    lowerEndPrice2 = endPrice + (useLowerDevInput2 ? -lowerMultInput2 * stdDev : -dnDev)
    var line lower2 = na
    if na(upper2) and not na(upperStartPrice2)
        upper2 := useDev2Input ? line.new(bar_index - lengthInput + 1, upperStartPrice2, bar_index, upperEndPrice2, width=b_lwidth, style=B_Line_Type, extend=extendStyle, color=colorMedium) : na
    else
        line.set_xy1(upper2, bar_index - lengthInput + 1, upperStartPrice2)
        line.set_xy2(upper2, bar_index, upperEndPrice2)
        na
    if na(lower2) and not na(lowerStartPrice2)
        lower2 := useDev2Input ? line.new(bar_index - lengthInput + 1, lowerStartPrice2, bar_index, lowerEndPrice2, width=b_lwidth, style=B_Line_Type, extend=extendStyle, color=colorMedium) : na
    else
        line.set_xy1(lower2, bar_index - lengthInput + 1, lowerStartPrice2)
        line.set_xy2(lower2, bar_index, lowerEndPrice2)
        na

    // small linreg fuction
    upperStartPrice3 = startPrice + (useUpperDevInput3 ? upperMultInput3 * stdDev : upDev)
    upperEndPrice3 = endPrice + (useUpperDevInput3 ? upperMultInput3 * stdDev : upDev)
    var line upper3 = na
    lowerStartPrice3 = startPrice + (useLowerDevInput3 ? -lowerMultInput3 * stdDev : -dnDev)
    lowerEndPrice3 = endPrice + (useLowerDevInput3 ? -lowerMultInput3 * stdDev : -dnDev)
    var line lower3 = na
    if na(upper3) and not na(upperStartPrice3)
        upper3 := useDev3Input ? line.new(bar_index - lengthInput + 1, upperStartPrice3, bar_index, upperEndPrice3, width=c_lwidth, style=C_Line_Type, extend=extendStyle, color=colorSmall) : na
    else
        line.set_xy1(upper3, bar_index - lengthInput + 1, upperStartPrice3)
        line.set_xy2(upper3, bar_index, upperEndPrice3)
        na
    if na(lower3) and not na(lowerStartPrice3)
        lower3 := useDev3Input ? line.new(bar_index - lengthInput + 1, lowerStartPrice3, bar_index, lowerEndPrice3, width=c_lwidth, style=C_Line_Type, extend=extendStyle, color=colorSmall) : na
    else
        line.set_xy1(lower3, bar_index - lengthInput + 1, lowerStartPrice3)
        line.set_xy2(lower3, bar_index, lowerEndPrice3)
        na

    // Add tag to show slope to indicate strength of the trend.
    slopeLabel = label.new(bar_index - lengthInput + 1, upperStartPrice)
    label.set_text(slopeLabel, str.tostring(pearsonR))  // pearsonR is what is used in the official regression tool.

drawTrendlines(lengthInput, s, a, i, stdDev, pearsonR, upDev, dnDev)