//@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, group="labels")
show_prices = input.bool(title="Show Prices", defval=true, group="labels")
position_labels = input.string("Left", "Labels Position", options=["Left", "Right"], group="labels")
line_width = input.int(title="Line Width", defval=1, minval=1, maxval=100, group="levels")
var DEF_COLOR = #FB8C00
var arr_time = array.new_int()
var p = array.new_float()
p_color = input.color(DEF_COLOR, "Pβ β β", inline="P", group="levels")
p_show = input.bool(true, "", inline="P", group="levels")
var r1 = array.new_float()
var s1 = array.new_float()
s1_color = input.color(DEF_COLOR, "S1", inline="S1/R1" , group="levels")
s1_show = input.bool(true, "", inline="S1/R1", group="levels")
r1_color = input.color(DEF_COLOR, "β β β β β β β βR1", inline="S1/R1", group="levels")
r1_show = input.bool(true, "", inline="S1/R1", group="levels")
var r2 = array.new_float()
var s2 = array.new_float()
s2_color = input.color(DEF_COLOR, "S2", inline="S2/R2", group="levels")
s2_show = input.bool(true, "", inline="S2/R2", group="levels")
r2_color = input.color(DEF_COLOR, "β β β β β β β βR2", inline="S2/R2", group="levels")
r2_show = input.bool(true, "", inline="S2/R2", group="levels")
var r3 = array.new_float()
var s3 = array.new_float()
s3_color = input.color(DEF_COLOR, "S3", inline="S3/R3", group="levels")
s3_show = input.bool(true, "", inline="S3/R3", group="levels")
r3_color = input.color(DEF_COLOR, "β β β β β β β βR3", inline="S3/R3", group="levels")
r3_show = input.bool(true, "", inline="S3/R3", group="levels")
var r4 = array.new_float()
var s4 = array.new_float()
s4_color = input.color(DEF_COLOR, "S4", inline="S4/R4", group="levels")
s4_show = input.bool(true, "", inline="S4/R4", group="levels")
r4_color = input.color(DEF_COLOR, "β β β β β β β βR4", inline="S4/R4", group="levels")
r4_show = input.bool(true, "", inline="S4/R4", group="levels")
var r5 = array.new_float()
var s5 = array.new_float()
s5_color = input.color(DEF_COLOR, "S5", inline="S5/R5", group="levels")
s5_show = input.bool(true, "", inline="S5/R5", group="levels")
r5_color = input.color(DEF_COLOR, "β β β β β β β βR5", inline="S5/R5", group="levels")
r5_show = input.bool(true, "", inline="S5/R5", group="levels")
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, width=line_width))
draw_label(i, y, txt, txt_color) =>
if (show_labels or show_prices) and not na(y)
display_text = (show_labels ? txt : "") + (show_prices ? str.format(" ({0})", math.round_to_mintick(y)) : "")
label_style = position_labels == "Left" ? label.style_label_right : label.style_label_left
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=display_text, textcolor=txt_color, style=label_style, 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)
r5_val = pivotX_prev_high / pivotX_prev_low * pivotX_prev_close
array.push(r5, r5_val)
array.push(s5, 2 * pivotX_prev_close - r5_val)
calc_pivot() =>
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()
resolution = get_pivot_resolution()
SIMPLE_DIVISOR = -1
custom_years_divisor = switch pivot_time_frame
BIYEARLY => 2
TRIYEARLY => 3
QUINQUENNIALLY => 5
DECENNIALLY => 10
=> SIMPLE_DIVISOR
calc_high(prev, curr) =>
if na(prev) or na(curr)
nz(prev, nz(curr, na))
else
math.max(prev, curr)
calc_low(prev, curr) =>
if not na(prev) and not na(curr)
math.min(prev, curr)
else
nz(prev, nz(curr, na))
calc_OHLC_for_pivot(custom_years_divisor) =>
if custom_years_divisor == SIMPLE_DIVISOR
[open, high, low, close, open[1], high[1], low[1], close[1], time[1], time_close]
else
var prev_sec_open = float(na)
var prev_sec_high = float(na)
var prev_sec_low = float(na)
var prev_sec_close = float(na)
var prev_sec_time = int(na)
var curr_sec_open = float(na)
var curr_sec_high = float(na)
var curr_sec_low = float(na)
var curr_sec_close = float(na)
if year(time_close) % custom_years_divisor == 0
curr_sec_open := open
curr_sec_high := high
curr_sec_low := low
curr_sec_close := close
prev_sec_high := high[1]
prev_sec_low := low[1]
prev_sec_close := close[1]
prev_sec_time := time[1]
for i = 2 to custom_years_divisor
prev_sec_open := nz(open[i], prev_sec_open)
prev_sec_high := calc_high(prev_sec_high, high[i])
prev_sec_low := calc_low(prev_sec_low, low[i])
prev_sec_time := nz(time[i], prev_sec_time)
[curr_sec_open, curr_sec_high, curr_sec_low, curr_sec_close, prev_sec_open, prev_sec_high, prev_sec_low, prev_sec_close, prev_sec_time, time_close]
[sec_open, sec_high, sec_low, sec_close, prev_sec_open, prev_sec_high, prev_sec_low, prev_sec_close, prev_sec_time, sec_time] = request.security(syminfo.tickerid, resolution, calc_OHLC_for_pivot(custom_years_divisor), lookahead = barmerge.lookahead_on)
sec_open_gaps_on = request.security(syminfo.tickerid, resolution, open, gaps = barmerge.gaps_on, lookahead = barmerge.lookahead_on)
is_change_years = custom_years_divisor > 0 and ta.change(time(resolution)) and year(time_close) % 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 == SIMPLE_DIVISOR) or is_change_years
if is_time_change
change_time := time
var start_time = time
var was_last_premarket = false
var start_calculate_in_premarket = false
is_last_premarket = barstate.islast and session.ispremarket and time_close > sec_time and not was_last_premarket
if is_last_premarket
was_last_premarket := true
start_calculate_in_premarket := true
if session.ismarket
was_last_premarket := false
without_time_change = barstate.islast and array.size(arr_time) == 0
is_can_calc_pivot = (not uses_current_bar and is_time_change and session.ismarket) or (ta.change(sec_open) and not start_calculate_in_premarket) or is_last_premarket or (uses_current_bar and not na(sec_open_gaps_on)) or without_time_change
enough_bars_for_calculate = prev_sec_time >= start_time or is_daily_based
if is_can_calc_pivot and enough_bars_for_calculate
if array.size(arr_time) == 0 and is_daily_based
pivotX_prev_open := prev_sec_open[1]
pivotX_prev_high := prev_sec_high[1]
pivotX_prev_low := prev_sec_low[1]
pivotX_prev_close := prev_sec_close[1]
pivotX_open := sec_open[1]
pivotX_high := sec_high[1]
pivotX_low := sec_low[1]
array.push(arr_time, start_time)
calc_pivot()
if is_daily_based
if is_last_premarket
pivotX_prev_open := sec_open
pivotX_prev_high := sec_high
pivotX_prev_low := sec_low
pivotX_prev_close := sec_close
pivotX_open := open
pivotX_high := high
pivotX_low := low
else
pivotX_prev_open := prev_sec_open
pivotX_prev_high := prev_sec_high
pivotX_prev_low := prev_sec_low
pivotX_prev_close := prev_sec_close
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_prev_close := close[1]
pivotX_open := open
pivotX_high := high
pivotX_low := low
if barstate.islast and not is_change and array.size(arr_time) > 0 and not without_time_change
array.set(arr_time, array.size(arr_time) - 1, change_time)
else if without_time_change
array.push(arr_time, start_time)
else
array.push(arr_time, nz(change_time, time))
calc_pivot()
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 r1_show
array.shift(r1)
if array.size(s1) > 0 and s1_show
array.shift(s1)
if array.size(r2) > 0 and r2_show
array.shift(r2)
if array.size(s2) > 0 and s2_show
array.shift(s2)
if array.size(r3) > 0 and r3_show
array.shift(r3)
if array.size(s3) > 0 and s3_show
array.shift(s3)
if array.size(r4) > 0 and r4_show
array.shift(r4)
if array.size(s4) > 0 and s4_show
array.shift(s4)
if array.size(r5) > 0 and r5_show
array.shift(r5)
if array.size(s5) > 0 and s5_show
array.shift(s5)
is_change := true
else if not is_daily_based
pivotX_high := math.max(pivotX_high, high)
pivotX_low := math.min(pivotX_low, low)
if barstate.islast and not is_daily_based and array.size(arr_time) == 0
runtime.error("Not enough intraday data to calculate Pivot Points. Lower the Pivots Timeframe or turn on the 'Use Daily-based Values' option in the indicator settings.")
if barstate.islast and array.size(arr_time) > 0 and is_change
is_change := false
if custom_years_divisor > 0
last_pivot_time = array.get(arr_time, array.size(arr_time) - 1)
pivot_timeframe = str.tostring(12 * custom_years_divisor) + "M"
estimate_pivot_time = last_pivot_time + timeframe.in_seconds(pivot_timeframe) * 1000
array.push(arr_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(labels) > 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 r1_show
draw_line(i, r1, r1_color)
draw_label(i, array.get(r1, i), "R1", r1_color)
if array.size(s1) > 0 and s1_show
draw_line(i, s1, s1_color)
draw_label(i, array.get(s1, i), "S1", s1_color)
if array.size(r2) > 0 and r2_show
draw_line(i, r2, r2_color)
draw_label(i, array.get(r2, i), "R2", r2_color)
if array.size(s2) > 0 and s2_show
draw_line(i, s2, s2_color)
draw_label(i, array.get(s2, i), "S2", s2_color)
if array.size(r3) > 0 and r3_show
draw_line(i, r3, r3_color)
draw_label(i, array.get(r3, i), "R3", r3_color)
if array.size(s3) > 0 and s3_show
draw_line(i, s3, s3_color)
draw_label(i, array.get(s3, i), "S3", s3_color)
if array.size(r4) > 0 and r4_show
draw_line(i, r4, r4_color)
draw_label(i, array.get(r4, i), "R4", r4_color)
if array.size(s4) > 0 and s4_show
draw_line(i, s4, s4_color)
draw_label(i, array.get(s4, i), "S4", s4_color)
if array.size(r5) > 0 and r5_show
draw_line(i, r5, r5_color)
draw_label(i, array.get(r5, i), "R5", r5_color)
if array.size(s5) > 0 and s5_show
draw_line(i, s5, s5_color)
draw_label(i, array.get(s5, i), "S5", s5_color)
Overview
Pivot Points Standard offers Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculation types. The user selects a pivot timeframe from automatic through multi-year periods, how many past pivots to keep, and whether levels use daily-based or intraday values. Labels and prices can appear on the left or right, and each level can be shown or hidden. The script uses lookahead on higher-timeframe data.
Traditional, Fibonacci, Woodie, Classic, DM and Camarilla types
Pivot timeframe from auto through multi-year periods
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Type
string
Traditional
kind
Pivots Timeframe
string
AUTO
pivot_time_frame
Number of Pivots Back
int
15
look_back
Use Daily-based Values
bool
true
is_daily_based
Show Labels
bool
true
show_labels
Show Prices
bool
true
show_prices
Labels Position
string
Left
position_labels
Line Width
int
1
line_width
Pβ β β
color
DEF_COLOR
p_color
p_show
bool
true
p_show
S1
color
DEF_COLOR
s1_color
s1_show
bool
true
s1_show
Show all 30 settings
Setting
Type
Default
Variable
β β β β β β β βR1
color
DEF_COLOR
r1_color
r1_show
bool
true
r1_show
S2
color
DEF_COLOR
s2_color
s2_show
bool
true
s2_show
β β β β β β β βR2
color
DEF_COLOR
r2_color
r2_show
bool
true
r2_show
S3
color
DEF_COLOR
s3_color
s3_show
bool
true
s3_show
β β β β β β β βR3
color
DEF_COLOR
r3_color
r3_show
bool
true
r3_show
S4
color
DEF_COLOR
s4_color
s4_show
bool
true
s4_show
β β β β β β β βR4
color
DEF_COLOR
r4_color
r4_show
bool
true
r4_show
S5
color
DEF_COLOR
s5_color
s5_show
bool
true
s5_show
β β β β β β β βR5
color
DEF_COLOR
r5_color
r5_show
bool
true
r5_show
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
Moving Average Channel plots separate simple moving averages for upper and lower bands on the price chart. It fills the space between bands with semi-transparent color and colors bars green above the upper band, red below the lower band, or gray in between. Us
This overlay indicator finds pivot highs and lows on the price chart and compares the last two highs and the last two lows. When the percentage difference between a pair is below the Equal HL threshold, it treats them as equal levels and draws a box. Left and
This indicator monitors multiple cryptocurrency symbols for trading signals. It calculates and plots entry prices, take profit, and stop loss levels for each symbol including BTCUSDT, ETHUSDT, BNBUSDT and others. Price crossovers trigger buy, sell or close ale
This overlay indicator draws a fixed-range volume profile on the price chart, splitting traded activity into up and down volume at each price level. It also plots a sentiment profile, a developing point of control, and value-area high and low around a configur
The BZ-tracker indicator marks ARK Invest buy and sell transactions on stock charts with labels. It plots green labels for purchases and red labels for sales, each annotated with a multiplier such as X1 or X2 to show the number of ARK ETFs trading the stock on
This indicator fits a linear regression through stored pivot highs and lows and draws the resulting channel on the price chart. A function returns predicted values, maximum and minimum deviations, and the average absolute deviation. Confirmed two-bar pivots up