CONVERSION INDICADOR TRADINGVIEW:Regression Indicator

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Viewing 4 posts - 1 through 4 (of 4 total)
  • 09/03/2024 at 1:38 PM #237045
    Fr7

    Solicito, si es posible, convertir el indicador adjunto:

    Descripción general del indicador:
    El indicador de regresión está diseñado para ayudar a los operadores a identificar tendencias y posibles reversiones en los movimientos de precios. Al calcular una línea de regresión y un indicador de regresión normalizado, proporciona señales visuales claras para la dirección del mercado, lo que ayuda a tomar decisiones comerciales informadas. El indicador se actualiza dinámicamente con los últimos datos del mercado, lo que garantiza señales oportunas y relevantes.

    https://es.tradingview.com/script/rFrilcDi-Regression-Indicator-BigBeluga/
    A ver si Iván el moderador tiene un hueco libre y lo puede traducir.
    Muchas gracias.

    09/03/2024 at 1:39 PM #237046
    Fr7

    // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
    // © BigBeluga

    //@version=5
    indicator(“Regression Indicator [BigBeluga]”, overlay = false, max_bars_back = 500)

    // =====================================================================================================================}
    // ＩＮＰＵＴＳ
    // ====================================================================================================================={

    int length = input.int(400, “Regression Length”)
    int length1 = input.int(100, “Regression Normalization”)
    int length2 = input.int(50, “Signal Line”)

    color m_color = #049ef7

    // =====================================================================================================================}
    // ＣＡＬＣＵＬＡＴＩＯＮＳ
    // ====================================================================================================================={

    // @function regression_indicator is a Normalized Ratio of Regression Lines with close
    regression_indicator(src, length) =>
    sum_x = 0.0
    sum_y = 0.0
    sum_xy = 0.0
    sum_x_sq = 0.0
    distance = 0.0
    // Calculate Sum
    for i = 0 to length – 1 by 1
    sum_x += i + 1
    sum_y += src[i]
    sum_xy += (i + 1) * src[i]
    sum_x_sq += math.pow(i + 1, 2)

    // Calculate linear regression coefficients
    slope = (length * sum_xy – sum_x * sum_y)
    / (length * sum_x_sq – math.pow(sum_x, 2))
    intercept = (sum_y – slope * sum_x) / length

    // Calculate Regression Indicator
    y1 = intercept + slope
    distance := (close – y1)
    distance_n = ta.sma((distance – ta.sma(distance, length1))
    / ta.stdev(distance, length1), 10)

    [distance_n, y1]

    [y, y1] = regression_indicator(close, length)

    // Signal Lines
    mean = ta.sma(y, length2)
    mean1 = ta.ema(y, 5)
    // Conditions
    cond1 = ta.crossunder(mean1, mean) and y > 0
    cond2 = ta.crossover(mean1, mean) and y < 0
    cond3 = ta.crossover(y, 0)
    cond4 = ta.crossunder(y, 0)

    // =====================================================================================================================}
    // ＰＬＯＴ
    // ====================================================================================================================={
    // Candles Colors
    color = y > 0 ? color.from_gradient(y, 0, 1, na, m_color) : color.from_gradient(y, -1, 0, chart.fg_color, na)

    barcolor(color)
    plotcandle(open, high, low, close, “Color Candles”,
    color = color,
    wickcolor = color,
    bordercolor = color,
    force_overlay = true
    )

    // Plot Regression Line
    plot(series = y1,
    title = “Regression Line”,
    color = color,
    linewidth = 2,
    force_overlay = true
    )
    // Plot Regression Indicator
    p1 = plot(series = y,
    title = “Regression Indicator”,
    color = color,
    linewidth = 1
    )

    p0 = plot(series = 0,
    title = “Zero Line”,
    color = color,
    linewidth = 1
    )

    // Fill Color Regression Indicator
    fill(p1, p0, 2.5, 0, m_color, na, title = “Upper Fill”)
    fill(p1, p0, 0, -2.5, na, chart.fg_color, title = “Lower Fill”)

    // Signal Line
    plot(mean, color = color.rgb(3, 100, 165, 52), linewidth = 2)

    // Arrow Trend Direction
    var txt = “”
    switch
    cond3 => txt := “➚”
    cond4 => txt := “➘”

    if barstate.islast
    label.delete(
    label.new(
    x = bar_index+3,
    y = y1,
    text = txt,
    style = label.style_label_center,
    color = color(na),
    textcolor = color,
    size = size.huge,
    force_overlay = true
    )[1]
    )

    // Reversion Signals
    if cond1
    label.new(
    x = bar_index,
    y = high,
    text = “◓”,
    style = label.style_label_down,
    color = color(na),
    textcolor = chart.fg_color,
    size = size.large,
    force_overlay = true
    )

    if cond2
    label.new(
    x = bar_index,
    y = low,
    text = “◒”,
    style = label.style_label_up,
    color = color(na),
    textcolor = m_color,
    size = size.large,
    force_overlay = true
    )

    // Trend Signals
    plotchar(cond3 ? 0 : na, “TrendUp”, “⦿”,
    location = location.absolute,
    size = size.small,
    color = #0364a5
    )
    plotchar(cond3 ? close : na, “TrendUp”, “⦿”,
    location = location.absolute,
    size = size.small,
    color = #0364a5,
    force_overlay = true
    )

    plotchar(cond4 ? 0 : na, “TrendDn”, “⦿”,
    location = location.absolute,
    size = size.small,
    color = chart.fg_color
    )
    plotchar(cond4 ? close : na, “TrendDn”, “⦿”,
    location = location.absolute,
    size = size.small,
    color = chart.fg_color,
    force_overlay = true
    )

    // =====================================================================================================================}

     

    09/05/2024 at 9:30 AM #237117
    Iván

    Buenas! Aquí tienes la traducción

    1 user thanked author for this post.
    avatar Fr7
    09/05/2024 at 9:38 AM #237118
    Iván

    Y este sería el mismo indicador pero en precio

    1 user thanked author for this post.
    avatar Fr7
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