User Manual / Concepts / Bar plotting

Bar plotting

Introduction

The plotcandle() built-in function is used to plot candles. plotbar() is used to plot conventional bars.

Both functions require four arguments that will be used for the OHLC prices (open, high, low, close) of the bars they will be plotting. If one of those is na, no bar is plotted.

Plotting candles with `plotcandle()`

The signature of plotcandle() is:

plotcandle(open, high, low, close, title, color, wickcolor, editable, show_last, bordercolor, display) → void

This plots simple candles, all in blue, using the habitual OHLC values, in a separate pane:

//@version=6 indicator("Single-color candles") plotcandle(open, high, low, close)

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To color them green or red, we can use the following code:

//@version=6 indicator("Example 2") paletteColor = close >= open ? color.lime : color.red plotbar(open, high, low, close, color = paletteColor)

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Note that the color parameter accepts “series color” arguments, so constant values such as color.red, color.lime, "#FF9090", as well as expressions that calculate colors at runtime, as is done with the paletteColor variable here, will all work.

You can build bars or candles using values other than the actual OHLC values. For example you could calculate and plot smoothed candles using the following code, which also colors wicks depending on the position of close relative to the smoothed close (c) of our indicator:

//@version=6 indicator("Smoothed candles", overlay = true) lenInput = input.int(9) smooth(source, length) => ta.sma(source, length) o = smooth(open, lenInput) h = smooth(high, lenInput) l = smooth(low, lenInput) c = smooth(close, lenInput) ourWickColor = close > c ? color.green : color.red plotcandle(o, h, l, c, wickcolor = ourWickColor)

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You may find it useful to plot OHLC values taken from a higher timeframe. You can, for example, plot daily bars on an intraday chart:

// NOTE: Use this script on an intraday chart. //@version=6 indicator("Daily bars") // Use gaps to only return data when the 1D timeframe completes, `na` otherwise. [o, h, l, c] = request.security(syminfo.tickerid, "D", [open, high, low, close], gaps = barmerge.gaps_on) var color UP_COLOR = color.silver var color DN_COLOR = color.blue color wickColor = c >= o ? UP_COLOR : DN_COLOR color bodyColor = c >= o ? color.new(UP_COLOR, 70) : color.new(DN_COLOR, 70) // Only plot candles on intraday timeframes, // and when non `na` values are returned by `request.security()` because a HTF has completed. plotcandle(timeframe.isintraday ? o : na, h, l, c, color = bodyColor, wickcolor = wickColor)

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Note that:

  • We show the script’s plot after having used “Visual Order/Bring to Front” from the script’s “More” menu. This causes our script’s candles to appear on top of the chart’s candles.

  • The script will only display candles when two conditions are met:

    • The chart is using an intraday timeframe (see the check on

    timeframe.isintraday in the plotcandle() call). We do this because it’s not useful to show a daily value on timeframes higher or equal to 1D.

    • The

    request.security() function returns non na values (see gaps = barmerge.gaps_on in the function call).

  • We use a tuple ([open, high, low, close]) with request.security() to fetch four values in one call.

  • We use var to declare our UP_COLOR and DN_COLOR color constants on bar zero only. We use constants because those colors are used in more than one place in our code. This way, if we need to change them, we need only do so in one place.

  • We create a lighter transparency for the body of our candles in the bodyColor variable initialization, so they don’t obstruct the chart’s candles.

Plotting bars with `plotbar()`

The signature of plotbar() is:

plotbar(open, high, low, close, title, color, editable, show_last, display, force_overlay) → void

Note that plotbar() has no parameter for bordercolor or wickcolor, as there are no borders or wicks on conventional bars.

This plots conventional bars using the same coloring logic as in the second example of the previous section:

//@version=6 indicator("Dual-color bars") paletteColor = close >= open ? color.lime : color.red plotbar(open, high, low, close, color = paletteColor)

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