Annotation Functions Overview

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The annotation ’study’

As was noted in the section ‘Program Structure’, each script must contain one call of the annotation function study. Functions have the following signatures:

study(title, shorttitle, overlay, precision)

The given function determines the characteristics of all indicators as a whole. Only title is a necessary argument which sets the name of the indicator. This name will be used in the Indicators’ dialogue.

shorttitle is the short name of an indicator displayed in the chart’s legend. If it has not been specified, then it will use the title value.

overlay is a logical type of argument. If it is true then the study will be added as an overlay on top of the main series. If it is false then it will be added on a separate chart pane; false is the default setting.

precision — number of digits after the floating point for study values on the price axis. Must be a non negative integer. Precision 0 has special rules for formatting very large numbers (like volume, e.g. '5183' will be formatted as '5K'). Default value is 4.

Output of Charts ‘plot’

The annotation plot accepts one mandatory argument: the value of a series type and displays it on the chart as a line. A very basic call looks like this:


However, because there are automatic type conversions in Pine, instead of a series type value, any numerical value can be transmitted. For example:


In this case, the value 125.2 will be automatically converted to a series type value which will be the same number on every bar. The plot will be represented as a horizontal line.

The annotation plot has a multitude of optional arguments, in particular those which set the graph’s display style: style, color, title, linewidth, transparency, and others. Additional descriptions of these arguments can be found here.

The parameter color can have a different effect depending on the transmitted value. If it is set equal to a color type’s constant, for example red, then the whole chart will be plotted with a red color:

plot(close, color=red)

Output of charts plot 1.png

However, the argument color can receive an expression of a series type of colored values as values. This series of colors will be used to color the chart when rendered. For example:

c = close >= open ? lime : red
plot(close, color = c)

Output of charts plot 2.png

Interest also represents the argument offset of the function plot. It specifies the shift used when the chart is plotted (negative values shift the chart to the left, while positive values — to the right) For example:

study("My Script 12", overlay=true)
plot(close, color=red, offset=-5)
plot(close, color=lime, offset=5)

Output of charts plot 3.png

As can be seen in the screenshot, the red series has been shifted to the left (since the argument's value ‘offset’ is negative), while the green series has been shifted to the right (its value ‘offset’ is positive).

Footnote. In Pine there is a built-in function offset which also enables the values of a series to be shifted, but only to the right. At the same time the values “out of range” of the current bar are discarded. The advantage of ‘offset’ lies in the fact that its result can be used in other expressions to execute complex calculations. In the case of the argument ‘offset’ of the function ‘plot’, the shift appears to be merely a visual effect of the plot.

Barcoloring a series — ‘barcolor’

The annotation function ‘barcolor’ lets you specify a color for a bar dependent on the fulfillment of a certain condition. The following example script renders the inside and outside bars in different colors:

study("barcolor example", overlay=true)
isUp() => close > open
isDown() => close <= open
isOutsideUp() => high > high[1] and low < low[1] and isUp()
isOutsideDown() => high > high[1] and low < low[1] and isDown()
isInside() => high < high[1] and low > low[1]
barcolor(isInside() ? yellow : isOutsideUp() ? aqua : isOutsideDown() ? purple : na)

Barcoloring a series barcolor 1.png

As you can see, when passing the na value, the colors stay the default chart color.

Background coloring — ‘bgcolor’

Similar to the barcolor function, the bgcolor function changes the color of the background. Function will the color of that can be calculated in an expression, and an optional parameter transp – transparency from 0-100, which is 90 by default.

As an example, here’s a script for coloring trading sessions (use it on EURUSD, 30 min resolution):

study("bgcolor example", overlay=true)
timeinrange(res, sess) => time(res, sess) != 0
premarket = #0050FF
regular = #0000FF
postmarket = #5000FF
notrading = na
sessioncolor = timeinrange("30", "0400-0930") ? premarket : timeinrange("30", "0930-1600") ? regular : timeinrange("30", "1600-2000") ? postmarket : notrading
bgcolor(sessioncolor, transp=75)

Background coloring bgcolor 1.png

Inputs of the Indicator

‘input’ annotations make it possible to indicate which variables in the indicator’s code are incoming. Widgets will be generated for the variables on the indicator’s (properties/attributes) page in order to change the values via a more convenient way than modifying the script’s source code. You can also specify the title of the input in the form of a short text string. The title is meant to explain the purpose of the input, and you can specify lowest and highest possible values for numerical inputs.

When the document is written, in Pine there are the following types of inputs:

  • bool,
  • integer,
  • float,
  • string,
  • symbol,
  • resolution,
  • session,
  • source.

The following examples show how to create, in code, each input and what its widgets look like.

b = input(title="On/Off", type=bool, defval=true)
plot(b ? open : na)

Inputs of indicator 1.png

i = input(title="Offset", type=integer, defval=7, minval=-10, maxval=10)
plot(offset(close, i))

Inputs of indicator 2.png

f = input(title="Angle", type=float, defval=-0.5, minval=-3.14, maxval=3.14, step=0.2)
plot(sin(f) > 0 ? close : open)

Inputs of indicator 3.png

sym = input(title="Symbol", type=symbol, defval="SPY")
res = input(title="Resolution", type=resolution, defval="60")
plot(close, color=red)
plot(security(sym, res, close), color=green)

Inputs of indicator 4.png The input widget ‘symbol’ has a built-in symbol ‘search’ which is turned on automatically when the ticker’s first symbols are entered.

s = input(title="Session", type=session, defval="24x7")
plot(time(period, s))

Inputs of indicator 5.png

src = input(title="Source", type=source, defval=close)
ma = sma(src, 9)

Inputs of indicator 6.png

Find more information about indicator inputs in Pine Reference.

Price levels ‘hline’

The annotation function ‘hline’ renders a horizontal line at a given fixed price level. For example:

study(title="Chaikin Oscillator", shorttitle="Chaikin Osc")
short = input(3,minval=1), long = input(10,minval=1)
osc = ema(accdist, short) - ema(accdist, long)
plot(osc, color=red)
hline(0, title="Zero", color=gray, linestyle=dashed)

Price levels hline 1.png

A number must be the first argument of ‘hline’. Values of a type series are forbidden. It’s possible to create a few horizontal lines with the help of ‘hline’ and fill in the background between them with a translucent light using the function ‘fill’.

Filling in the background between objects with ‘fill'

The ‘fill’ annotation function lets you color the background between two series, or two horizontal lines (created with hline). The following example illustrates how it works:

study("fill Example")
p1 = plot(sin(high))
p2 = plot(cos(low))
p3 = plot(sin(close))
fill(p1, p3, color=red)
fill(p2, p3, color=blue)
h1 = hline(0)
h2 = hline(1.0)
h3 = hline(0.5)
h4 = hline(1.5)
fill(h1, h2, color=yellow)
fill(h3, h4, color=lime)

Filling in the background between objects with fill 1.png

Footnote: Never execute a fill between ‘plot’ and ‘hline’. However it’s possible to display, with the help of ‘plot’, a series of the identical values (which will look like a horizontal line, similar to ‘hline’) and execute a fill between it and another plot. For example:

study("Fill example 2")
src = close, len = 10
ma = sma(src, len)
osc = 100 * (ma - src) / ma
p = plot(osc)
// NOTE: fill(p, hline(0)) wouldn't work, instead use this:
fill(p, plot(0))

Filling in the background between objects with fill 2.png

You can set filling color by using constants like 'color=red' or 'color=#ff001a' as well as complex expressions like 'color = close >= open ? green : red'. Example:

study(title="Colored fill")
p1 = plot(line1)
p2 = plot(line2)
fill(p1, p2, color = line1>line2 ? green : red)

Filling in the background between objects with fill 3.png

Alert conditions

The annotation function alertcondition allows you to create custom alert conditions in Pine studies.

The function has the following signature:

alertcondition(condition, title, message)

‘condition’ is a series of boolean values that is used for alert. Available values: true, false. True means alert condition is met, alert should trigger. False means alert condition is not met, alert should not trigger. It is a required argument.

‘title’ is an optional argument that sets the name of the alert condition.

‘message’ is an optional argument that specifies text message to display when the alert fires.

Here is example of creating an alert condition:

study("Example of alertcondition")
src = input(close)
ma_1 = sma(src, 20)
ma_2 = sma(src, 10)
c = cross(ma_1, ma_2)
alertcondition(c, title='Red crosses blue', message='Red and blue have crossed!')
plot(ma_1, color=red)
plot(ma_2, color=blue)

The function creates alert condition that is available in Create Alert dialog. Please note, that alertcondition does NOT fire alerts from code automatically, it only gives you opportunity to create a custom condition for Create Alert dialog. Alerts must be still set manually. Also, an alert triggered based on a custom condition you created in Pine code is not displayed on a chart.

One script may include more than one alertcondition.

To create an alert based on alertcondition, one should apply a Pine code (study) with alertcontidion to current chart, open the Create Alert dialog, select the applied Pine code as main condition for the alert and choose the specific alert condition (implemented in the code itself).

Alertcondition 1.png

When alert fires, you’ll see the message:

Alertcondition 2.png

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