Reputation: 23
I'm trying to read some pine script to understand how it works.
But there is some strange thing I can't explain.
For exemple for pivot pine script:
pivotX_open = float(na)
pivotX_open := nz(pivotX_open[1], open)
pivotX_high = float(na)
pivotX_high := nz(pivotX_high[1], high)
pivotX_low = float(na)
pivotX_low := nz(pivotX_low[1], low)
pivotX_prev_open = float(na)
pivotX_prev_open := nz(pivotX_prev_open[1])
pivotX_prev_high = float(na)
pivotX_prev_high := nz(pivotX_prev_high[1])
pivotX_prev_low = float(na)
pivotX_prev_low := nz(pivotX_prev_low[1])
pivotX_prev_close = float(na)
pivotX_prev_close := nz(pivotX_prev_close[1])
I can't understand these inits. It seems to be a commun way to do, but it's hard to understand how a variable can be initialized with itself.
Thanks for you help.
The complete code from Tradingview
//@version=5
indicator("Pivot Points Standard", "Pivots", overlay=true, max_lines_count=500, max_labels_count=500)
AUTO = "Auto"
DAILY = "Daily"
WEEKLY = "Weekly"
MONTHLY = "Monthly"
QUARTERLY = "Quarterly"
YEARLY = "Yearly"
BIYEARLY = "Biyearly"
TRIYEARLY = "Triyearly"
QUINQUENNIALLY = "Quinquennially"
DECENNIALLY = "Decennially"
TRADITIONAL = "Traditional"
FIBONACCI = "Fibonacci"
WOODIE = "Woodie"
CLASSIC = "Classic"
DEMARK = "DM"
CAMARILLA = "Camarilla"
kind = input.string(title="Type", defval="Traditional", options=[TRADITIONAL, FIBONACCI, WOODIE, CLASSIC, DEMARK, CAMARILLA])
pivot_time_frame = input.string(title="Pivots Timeframe", defval=AUTO, options=[AUTO, DAILY, WEEKLY, MONTHLY, QUARTERLY, YEARLY, BIYEARLY, TRIYEARLY, QUINQUENNIALLY, DECENNIALLY])
look_back = input.int(title="Number of Pivots Back", defval=15, minval=1, maxval=5000)
is_daily_based = input.bool(title="Use Daily-based Values", defval=true, tooltip="When this option is unchecked, Pivot Points will use intraday data while calculating on intraday charts. If Extended Hours are displayed on the chart, they will be taken into account during the pivot level calculation. If intraday OHLC values are different from daily-based values (normal for stocks), the pivot levels will also differ.")
show_labels = input.bool(title="Show Labels", defval=true, inline="labels")
position_labels = input.string("Left", "", options=["Left", "Right"], inline="labels")
var DEF_COLOR = #FB8C00
var arr_time = array.new_int()
var p = array.new_float()
p_show = input.bool(true, "P ", inline="P")
p_color = input.color(DEF_COLOR, "", inline="P")
var r1 = array.new_float()
var s1 = array.new_float()
s1r1_show = input.bool(true, "S1/R1", inline="S1/R1")
s1r1_color = input.color(DEF_COLOR, "", inline="S1/R1")
var r2 = array.new_float()
var s2 = array.new_float()
s2r2_show = input.bool(true, "S2/R2", inline="S2/R2")
s2r2_color = input.color(DEF_COLOR, "", inline="S2/R2")
var r3 = array.new_float()
var s3 = array.new_float()
s3r3_show = input.bool(true, "S3/R3", inline="S3/R3")
s3r3_color = input.color(DEF_COLOR, "", inline="S3/R3")
var r4 = array.new_float()
var s4 = array.new_float()
s4r4_show = input.bool(true, "S4/R4", inline="S4/R4")
s4r4_color = input.color(DEF_COLOR, "", inline="S4/R4")
var r5 = array.new_float()
var s5 = array.new_float()
s5r5_show = input.bool(true, "S5/R5", inline="S5/R5")
s5r5_color = input.color(DEF_COLOR, "", inline="S5/R5")
pivotX_open = float(na)
pivotX_open := nz(pivotX_open[1], open)
pivotX_high = float(na)
pivotX_high := nz(pivotX_high[1], high)
pivotX_low = float(na)
pivotX_low := nz(pivotX_low[1], low)
pivotX_prev_open = float(na)
pivotX_prev_open := nz(pivotX_prev_open[1])
pivotX_prev_high = float(na)
pivotX_prev_high := nz(pivotX_prev_high[1])
pivotX_prev_low = float(na)
pivotX_prev_low := nz(pivotX_prev_low[1])
pivotX_prev_close = float(na)
pivotX_prev_close := nz(pivotX_prev_close[1])
get_pivot_resolution() =>
resolution = "M"
if pivot_time_frame == AUTO
if timeframe.isintraday
resolution := timeframe.multiplier <= 15 ? "D" : "W"
else if timeframe.isweekly or timeframe.ismonthly
resolution := "12M"
else if pivot_time_frame == DAILY
resolution := "D"
else if pivot_time_frame == WEEKLY
resolution := "W"
else if pivot_time_frame == MONTHLY
resolution := "M"
else if pivot_time_frame == QUARTERLY
resolution := "3M"
else if pivot_time_frame == YEARLY or pivot_time_frame == BIYEARLY or pivot_time_frame == TRIYEARLY or pivot_time_frame == QUINQUENNIALLY or pivot_time_frame == DECENNIALLY
resolution := "12M"
resolution
var lines = array.new_line()
var labels = array.new_label()
draw_line(i, pivot, col) =>
if array.size(arr_time) > 1
array.push(lines, line.new(array.get(arr_time, i), array.get(pivot, i), array.get(arr_time, i + 1), array.get(pivot, i), color=col, xloc=xloc.bar_time))
draw_label(i, y, txt, txt_color) =>
if show_labels
offset = ' '
labels_align_str_left= position_labels == "Left" ? txt + offset : offset + txt
x = position_labels == "Left" ? array.get(arr_time, i) : array.get(arr_time, i + 1)
array.push(labels, label.new(x = x, y=y, text=labels_align_str_left, textcolor=txt_color, style=label.style_label_center, color=#00000000, xloc=xloc.bar_time))
traditional() =>
pivotX_Median = (pivotX_prev_high + pivotX_prev_low + pivotX_prev_close) / 3
array.push(p, pivotX_Median)
array.push(r1, pivotX_Median * 2 - pivotX_prev_low)
array.push(s1, pivotX_Median * 2 - pivotX_prev_high)
array.push(r2, pivotX_Median + 1 * (pivotX_prev_high - pivotX_prev_low))
array.push(s2, pivotX_Median - 1 * (pivotX_prev_high - pivotX_prev_low))
array.push(r3, pivotX_Median * 2 + (pivotX_prev_high - 2 * pivotX_prev_low))
array.push(s3, pivotX_Median * 2 - (2 * pivotX_prev_high - pivotX_prev_low))
array.push(r4, pivotX_Median * 3 + (pivotX_prev_high - 3 * pivotX_prev_low))
array.push(s4, pivotX_Median * 3 - (3 * pivotX_prev_high - pivotX_prev_low))
array.push(r5, pivotX_Median * 4 + (pivotX_prev_high - 4 * pivotX_prev_low))
array.push(s5, pivotX_Median * 4 - (4 * pivotX_prev_high - pivotX_prev_low))
fibonacci() =>
pivotX_Median = (pivotX_prev_high + pivotX_prev_low + pivotX_prev_close) / 3
pivot_range = pivotX_prev_high - pivotX_prev_low
array.push(p, pivotX_Median)
array.push(r1, pivotX_Median + 0.382 * pivot_range)
array.push(s1, pivotX_Median - 0.382 * pivot_range)
array.push(r2, pivotX_Median + 0.618 * pivot_range)
array.push(s2, pivotX_Median - 0.618 * pivot_range)
array.push(r3, pivotX_Median + 1 * pivot_range)
array.push(s3, pivotX_Median - 1 * pivot_range)
woodie() =>
pivotX_Woodie_Median = (pivotX_prev_high + pivotX_prev_low + pivotX_open * 2)/4
pivot_range = pivotX_prev_high - pivotX_prev_low
array.push(p, pivotX_Woodie_Median)
array.push(r1, pivotX_Woodie_Median * 2 - pivotX_prev_low)
array.push(s1, pivotX_Woodie_Median * 2 - pivotX_prev_high)
array.push(r2, pivotX_Woodie_Median + 1 * pivot_range)
array.push(s2, pivotX_Woodie_Median - 1 * pivot_range)
pivot_point_r3 = pivotX_prev_high + 2 * (pivotX_Woodie_Median - pivotX_prev_low)
pivot_point_s3 = pivotX_prev_low - 2 * (pivotX_prev_high - pivotX_Woodie_Median)
array.push(r3, pivot_point_r3)
array.push(s3, pivot_point_s3)
array.push(r4, pivot_point_r3 + pivot_range)
array.push(s4, pivot_point_s3 - pivot_range)
classic() =>
pivotX_Median = (pivotX_prev_high + pivotX_prev_low + pivotX_prev_close)/3
pivot_range = pivotX_prev_high - pivotX_prev_low
array.push(p, pivotX_Median)
array.push(r1, pivotX_Median * 2 - pivotX_prev_low)
array.push(s1, pivotX_Median * 2 - pivotX_prev_high)
array.push(r2, pivotX_Median + 1 * pivot_range)
array.push(s2, pivotX_Median - 1 * pivot_range)
array.push(r3, pivotX_Median + 2 * pivot_range)
array.push(s3, pivotX_Median - 2 * pivot_range)
array.push(r4, pivotX_Median + 3 * pivot_range)
array.push(s4, pivotX_Median - 3 * pivot_range)
demark() =>
pivotX_Demark_X = pivotX_prev_high + pivotX_prev_low * 2 + pivotX_prev_close
if pivotX_prev_close == pivotX_prev_open
pivotX_Demark_X := pivotX_prev_high + pivotX_prev_low + pivotX_prev_close * 2
if pivotX_prev_close > pivotX_prev_open
pivotX_Demark_X := pivotX_prev_high * 2 + pivotX_prev_low + pivotX_prev_close
array.push(p, pivotX_Demark_X / 4)
array.push(r1, pivotX_Demark_X / 2 - pivotX_prev_low)
array.push(s1, pivotX_Demark_X / 2 - pivotX_prev_high)
camarilla() =>
pivotX_Median = (pivotX_prev_high + pivotX_prev_low + pivotX_prev_close) / 3
pivot_range = pivotX_prev_high - pivotX_prev_low
array.push(p, pivotX_Median)
array.push(r1, pivotX_prev_close + pivot_range * 1.1 / 12.0)
array.push(s1, pivotX_prev_close - pivot_range * 1.1 / 12.0)
array.push(r2, pivotX_prev_close + pivot_range * 1.1 / 6.0)
array.push(s2, pivotX_prev_close - pivot_range * 1.1 / 6.0)
array.push(r3, pivotX_prev_close + pivot_range * 1.1 / 4.0)
array.push(s3, pivotX_prev_close - pivot_range * 1.1 / 4.0)
array.push(r4, pivotX_prev_close + pivot_range * 1.1 / 2.0)
array.push(s4, pivotX_prev_close - pivot_range * 1.1 / 2.0)
resolution = get_pivot_resolution()
[sec_open, sec_high, sec_low, sec_close] = request.security(syminfo.tickerid, resolution, [open, high, low, close], lookahead = barmerge.lookahead_on)
sec_open_gaps_on = request.security(syminfo.tickerid, resolution, open, gaps = barmerge.gaps_on, lookahead = barmerge.lookahead_on)
custom_years_divisor = switch pivot_time_frame
BIYEARLY => 2
TRIYEARLY => 3
QUINQUENNIALLY => 5
DECENNIALLY => 10
=> -1
is_change_years = false
if custom_years_divisor > 0 and ta.change(time(resolution))
is_change_years := year % custom_years_divisor == 0
var is_change = false
var uses_current_bar = timeframe.isintraday and kind == WOODIE
var change_time = int(na)
is_time_change = (ta.change(time(resolution)) and custom_years_divisor == -1) or is_change_years
if is_time_change
change_time := time
if (not uses_current_bar and is_time_change) or (uses_current_bar and not na(sec_open_gaps_on))
if is_daily_based and custom_years_divisor == -1
pivotX_prev_open := sec_open[1]
pivotX_prev_high := sec_high[1]
pivotX_prev_low := sec_low[1]
pivotX_prev_close := sec_close[1]
pivotX_open := sec_open
pivotX_high := sec_high
pivotX_low := sec_low
else
pivotX_prev_high := pivotX_high
pivotX_prev_low := pivotX_low
pivotX_prev_open := pivotX_open
pivotX_open := open
pivotX_high := high
pivotX_low := low
pivotX_prev_close := close[1]
if barstate.islast and not is_change and array.size(arr_time) > 0
array.set(arr_time, array.size(arr_time) - 1, change_time)
else
array.push(arr_time, change_time)
if kind == TRADITIONAL
traditional()
else if kind == FIBONACCI
fibonacci()
else if kind == WOODIE
woodie()
else if kind == CLASSIC
classic()
else if kind == DEMARK
demark()
else if kind == CAMARILLA
camarilla()
if array.size(arr_time) > look_back
if array.size(arr_time) > 0
array.shift(arr_time)
if array.size(p) > 0 and p_show
array.shift(p)
if array.size(r1) > 0 and s1r1_show
array.shift(r1)
if array.size(s1) > 0 and s1r1_show
array.shift(s1)
if array.size(r2) > 0 and s2r2_show
array.shift(r2)
if array.size(s2) > 0 and s2r2_show
array.shift(s2)
if array.size(r3) > 0 and s3r3_show
array.shift(r3)
if array.size(s3) > 0 and s3r3_show
array.shift(s3)
if array.size(r4) > 0 and s4r4_show
array.shift(r4)
if array.size(s4) > 0 and s4r4_show
array.shift(s4)
if array.size(r5) > 0 and s5r5_show
array.shift(r5)
if array.size(s5) > 0 and s5r5_show
array.shift(s5)
is_change := true
else
if is_daily_based and custom_years_divisor == -1
pivotX_high := math.max(pivotX_high, sec_high)
pivotX_low := math.min(pivotX_low, sec_low)
else
pivotX_high := math.max(pivotX_high, high)
pivotX_low := math.min(pivotX_low, low)
if barstate.islast and array.size(arr_time) > 0 and is_change
is_change := false
if array.size(arr_time) > 2 and custom_years_divisor > 0
last_pivot_time = array.get(arr_time, array.size(arr_time) - 1)
prev_pivot_time = array.get(arr_time, array.size(arr_time) - 2)
estimate_pivot_time = last_pivot_time - prev_pivot_time
array.push(arr_time, last_pivot_time + estimate_pivot_time)
else
array.push(arr_time, time_close(resolution))
for i = 0 to array.size(lines) - 1
if array.size(lines) > 0
line.delete(array.shift(lines))
if array.size(lines) > 0
label.delete(array.shift(labels))
for i = 0 to array.size(arr_time) - 2
if array.size(p) > 0 and p_show
draw_line(i, p, p_color)
draw_label(i, array.get(p, i), "P", p_color)
if array.size(r1) > 0 and s1r1_show
draw_line(i, r1, s1r1_color)
draw_label(i, array.get(r1, i), "R1", s1r1_color)
if array.size(s1) > 0 and s1r1_show
draw_line(i, s1, s1r1_color)
draw_label(i, array.get(s1, i), "S1", s1r1_color)
if array.size(r2) > 0 and s2r2_show
draw_line(i, r2, s2r2_color)
draw_label(i, array.get(r2, i), "R2", s2r2_color)
if array.size(s2) > 0 and s2r2_show
draw_line(i, s2, s2r2_color)
draw_label(i, array.get(s2, i), "S2", s2r2_color)
if array.size(r3) > 0 and s3r3_show
draw_line(i, r3, s3r3_color)
draw_label(i, array.get(r3, i), "R3", s3r3_color)
if array.size(s3) > 0 and s3r3_show
draw_line(i, s3, s3r3_color)
draw_label(i, array.get(s3, i), "S3", s3r3_color)
if array.size(r4) > 0 and s4r4_show
draw_line(i, r4, s4r4_color)
draw_label(i, array.get(r4, i), "R4", s4r4_color)
if array.size(s4) > 0 and s4r4_show
draw_line(i, s4, s4r4_color)
draw_label(i, array.get(s4, i), "S4", s4r4_color)
if array.size(r5) > 0 and s5r5_show
draw_line(i, r5, s5r5_color)
draw_label(i, array.get(r5, i), "R5", s5r5_color)
if array.size(s5) > 0 and s5r5_show
draw_line(i, s5, s5r5_color)
draw_label(i, array.get(s5, i), "S5", s5r5_color)
Manu
Upvotes: 2
Views: 4927
Reputation: 21179
There are four operators to know here.
=
is used when you declare a variable.:=
is used when you want to assign a new value to an already declared variable.[]
is called history reference operator and used when you want to access historical data of a variable. For example, close[1]
returns the close price of one bar ago.nz()
: Replaces NaN values with zeros (or given value) in a series.Now, let's look at the following code:
pivotX_prev_low = float(na)
pivotX_prev_low := nz(pivotX_prev_low[1])
pivotX_prev_low = float(na)
: declare a new variable of float
type called pivotX_prev_low
and give it na
as initial value.
pivotX_prev_low := nz(pivotX_prev_low[1])
: Now assign pivotX_prev_low
's previous value to pivotX_prev_low
.
To understand this last part, know that your script will be executed on each bar. When you want to have some constant information when you go from one bar to the next, this is how you (used to) do it. Because it will keep updating its value with the previous value, so its value will remain the same.
Lastly, nz()
is used because for the very first bar of the chart, there is no historical data. [1]
would return NaN
(remember, it is the first bar so there is no [1]
) and that might mess up your calculations.
Now, this is a traditional way to do this. Starting from //@version=4
, you can use the var
keyword for this purpose.
var pivotX_prev_low = float(na)
The var keyword declares a variable and initializes it only once. This allows the value of the variable to be automatically saved between bars from the moment of initialization or the last assignment.
So, until you do pivotX_prev_low := newVal
, it will keep its value from the previous bars.
Upvotes: 4