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Indicator · Pine Script v5 · On the chart

Time-based Range Retracement - Stats

by TamaraKGreen· code credited to notprofessorgreen

This overlay indicator tracks up to four independent session levels on the price chart.

View on GitHub

GitHub stars46on the repository
Pine versionv5runs as is
Lines of code521
Settings40inputs
LicenceNone statedfile: MPL-2.0
Last update7 weeks ago4 Sep 2026

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

521 lines of Pine Script v5 from Time based Range Retracement with Stats.txt, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.

Time based Range Retracement with Stats.txt 
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © notprofessorgreen

//@version=5
indicator("Time-based Range Retracement - Stats", "Range Retracement", true, max_lines_count=500, max_boxes_count=500)

get_line_type(string style) =>
    result = switch style
        'Solid' => line.style_solid
        'Dotted' => line.style_dotted
        'Dashed' => line.style_dashed
    result

// Inputs for Level 1
range_time_1 = input.session("0200-0230", "Range Time (Box)", group="Level 1")
hl_check_time_1 = input.session("0230-0800", "High/Low Check Time", group="Level 1")
ret_time_1 = input.session("0800-1500", "Retracement Check Time", group="Level 1")
ret_pct_1 = input.float(50.0, "Retracement %", minval=0, maxval=100, group="Level 1")
range_col_1 = input.color(color.rgb(98, 1, 255, 75), "Range Box Color", group="Level 1")
ret_line_col_1 = input.color(color.rgb(98, 1, 255, 0), "Retracement Line Color", group="Level 1")
show_box_1 = input.bool(true, "Show Range Box", group="Level 1")
show_line_1 = input.bool(true, "Show Retracement Line", group="Level 1")
style_1 = get_line_type(input.string("Dotted", "Retracement Line Style", options=["Solid", "Dashed", "Dotted"], group="Level 1"))
line_width_1 = input.int(1, "Retracement Line Width", minval=1, maxval=10, group="Level 1")

// Inputs for Level 2
range_time_2 = input.session("0900-0930", "Range Time (Box)", group="Level 2")
hl_check_time_2 = input.session("0930-1300", "High/Low Check Time", group="Level 2")
ret_time_2 = input.session("1300-1500", "Retracement Check Time", group="Level 2")
ret_pct_2 = input.float(50.0, "Retracement %", minval=0, maxval=100, group="Level 2")
range_col_2 = input.color(color.rgb(255, 0, 0, 75), "Range Box Color", group="Level 2")
ret_line_col_2 = input.color(color.rgb(255, 0, 0, 0), "Retracement Line Color", group="Level 2")
show_box_2 = input.bool(true, "Show Range Box", group="Level 2")
show_line_2 = input.bool(true, "Show Retracement Line", group="Level 2")
style_2 = get_line_type(input.string("Dotted", "Retracement Line Style", options=["Solid", "Dashed", "Dotted"], group="Level 2"))
line_width_2 = input.int(1, "Retracement Line Width", minval=1, maxval=10, group="Level 2")

// Inputs for Level 3
range_time_3 = input.session("0000-0030", "Range Time (Box)", group="Level 3")
hl_check_time_3 = input.session("0030-0200", "High/Low Check Time", group="Level 3")
ret_time_3 = input.session("0200-0800", "Retracement Check Time", group="Level 3")
ret_pct_3 = input.float(50.0, "Retracement %", minval=0, maxval=100, group="Level 3")
range_col_3 = input.color(color.rgb(0, 4, 255, 75), "Range Box Color", group="Level 3")
ret_line_col_3 = input.color(color.rgb(0, 4, 255, 0), "Retracement Line Color", group="Level 3")
show_box_3 = input.bool(true, "Show Range Box", group="Level 3")
show_line_3 = input.bool(true, "Show Retracement Line", group="Level 3")
style_3 = get_line_type(input.string("Dotted", "Retracement Line Style", options=["Solid", "Dashed", "Dotted"], group="Level 3"))
line_width_3 = input.int(1, "Retracement Line Width", minval=1, maxval=10, group="Level 3")

// Inputs for Level 4
range_time_4 = input.session("1100-1130", "Range Time (Box)", group="Level 4")
hl_check_time_4 = input.session("1130-1200", "High/Low Check Time", group="Level 4")
ret_time_4 = input.session("1200-1500", "Retracement Check Time", group="Level 4")
ret_pct_4 = input.float(50.0, "Retracement %", minval=0, maxval=100, group="Level 4")
range_col_4 = input.color(color.rgb(255, 255, 0, 50), "Range Box Color", group="Level 4")
ret_line_col_4 = input.color(color.rgb(255, 255, 0, 0), "Retracement Line Color", group="Level 4")
show_box_4 = input.bool(true, "Show Range Box", group="Level 4")
show_line_4 = input.bool(true, "Show Retracement Line", group="Level 4")
style_4 = get_line_type(input.string("Dotted", "Retracement Line Style", options=["Solid", "Dashed", "Dotted"], group="Level 4"))
line_width_4 = input.int(1, "Retracement Line Width", minval=1, maxval=10, group="Level 4")

// Inputs for Level 5
range_time_5 = input.session("1400-1430", "Range Time (Box)", group="Level 5")
hl_check_time_5 = input.session("1430-1500", "High/Low Check Time", group="Level 5")
ret_time_5 = input.session("1500-1600", "Retracement Check Time", group="Level 5")
ret_pct_5 = input.float(50.0, "Retracement %", minval=0, maxval=100, group="Level 5")
range_col_5 = input.color(color.rgb(5, 153, 109, 75), "Range Box Color", group="Level 5")
ret_line_col_5 = input.color(color.rgb(5, 153, 109, 0), "Retracement Line Color", group="Level 5")
show_box_5 = input.bool(true, "Show Range Box", group="Level 5")
show_line_5 = input.bool(true, "Show Retracement Line", group="Level 5")
style_5 = get_line_type(input.string("Dotted", "Retracement Line Style", options=["Solid", "Dashed", "Dotted"], group="Level 5"))
line_width_5 = input.int(1, "Retracement Line Width", minval=1, maxval=10, group="Level 5")

// Time checks
in_range_time_1 = not na(time("", range_time_1, "America/New_York"))
in_hl_check_time_1 = not na(time("", hl_check_time_1, "America/New_York"))
in_ret_time_1 = not na(time("", ret_time_1, "America/New_York"))
in_range_time_2 = not na(time("", range_time_2, "America/New_York"))
in_hl_check_time_2 = not na(time("", hl_check_time_2, "America/New_York"))
in_ret_time_2 = not na(time("", ret_time_2, "America/New_York"))
in_range_time_3 = not na(time("", range_time_3, "America/New_York"))
in_hl_check_time_3 = not na(time("", hl_check_time_3, "America/New_York"))
in_ret_time_3 = not na(time("", ret_time_3, "America/New_York"))
in_range_time_4 = not na(time("", range_time_4, "America/New_York"))
in_hl_check_time_4 = not na(time("", hl_check_time_4, "America/New_York"))
in_ret_time_4 = not na(time("", ret_time_4, "America/New_York"))
in_range_time_5 = not na(time("", range_time_5, "America/New_York"))
in_hl_check_time_5 = not na(time("", hl_check_time_5, "America/New_York"))
in_ret_time_5 = not na(time("", ret_time_5, "America/New_York"))

// Struct for tracking
type tracking
    float[] ret_distance
    box range_box
    line ret_line
    float high_price
    float low_price
    float ret_price
    bool returned = false
    bool high_taken = false
    bool low_taken = false
    int count_returned = 0
    int count_sessions = 0
    int count_high_taken = 0
    int count_low_taken = 0
    int count_returned_high_taken = 0
    int count_returned_high_not_taken = 0
    int count_returned_low_taken = 0
    int count_returned_low_not_taken = 0

var track_1 = tracking.new(array.new_float())
var track_2 = tracking.new(array.new_float())
var track_3 = tracking.new(array.new_float())
var track_4 = tracking.new(array.new_float())
var track_5 = tracking.new(array.new_float())

// Variables for each level
var float session_high_1 = na
var float session_low_1 = na
var int range_start_time_1 = na
var int range_end_time_1 = na
var bool new_session_1 = false

var float session_high_2 = na
var float session_low_2 = na
var int range_start_time_2 = na
var int range_end_time_2 = na
var bool new_session_2 = false

var float session_high_3 = na
var float session_low_3 = na
var int range_start_time_3 = na
var int range_end_time_3 = na
var bool new_session_3 = false

var float session_high_4 = na
var float session_low_4 = na
var int range_start_time_4 = na
var int range_end_time_4 = na
var bool new_session_4 = false

var float session_high_5 = na
var float session_low_5 = na
var int range_start_time_5 = na
var int range_end_time_5 = na
var bool new_session_5 = false

// Logic for Level 1
if in_range_time_1 and not in_range_time_1[1]
    session_high_1 := high
    session_low_1 := low
    range_start_time_1 := time
    new_session_1 := true
    track_1.count_sessions += 1
    track_1.high_taken := false
    track_1.low_taken := false

if in_range_time_1
    session_high_1 := math.max(session_high_1, high)
    session_low_1 := math.min(session_low_1, low)
    range_end_time_1 := time

if in_hl_check_time_1
    if not track_1.high_taken and high >= session_high_1
        track_1.high_taken := true
        track_1.count_high_taken += 1
    if not track_1.low_taken and low <= session_low_1
        track_1.low_taken := true
        track_1.count_low_taken += 1

if not in_range_time_1 and in_range_time_1[1] and new_session_1
    if show_box_1
        track_1.range_box := box.new(range_start_time_1, session_high_1, range_end_time_1, session_low_1, border_color=range_col_1, bgcolor=range_col_1, xloc=xloc.bar_time)
    float range_size = session_high_1 - session_low_1
    track_1.ret_price := session_low_1 + range_size * (ret_pct_1 / 100)
    if show_line_1
        track_1.ret_line := line.new(range_start_time_1, track_1.ret_price, range_end_time_1 + timeframe.in_seconds("D") * 1000, track_1.ret_price, xloc=xloc.bar_time, color=ret_line_col_1, style=style_1, width=line_width_1)
    track_1.ret_distance.unshift(range_size * (ret_pct_1 / 100))
    new_session_1 := false

if in_ret_time_1 and not track_1.returned
    if high >= track_1.ret_price and low <= track_1.ret_price
        track_1.returned := true
        track_1.count_returned += 1
        if track_1.high_taken
            track_1.count_returned_high_taken += 1
        else
            track_1.count_returned_high_not_taken += 1
        if track_1.low_taken
            track_1.count_returned_low_taken += 1
        else
            track_1.count_returned_low_not_taken += 1

// Logic for Level 2
if in_range_time_2 and not in_range_time_2[1]
    session_high_2 := high
    session_low_2 := low
    range_start_time_2 := time
    new_session_2 := true
    track_2.count_sessions += 1
    track_2.high_taken := false
    track_2.low_taken := false

if in_range_time_2
    session_high_2 := math.max(session_high_2, high)
    session_low_2 := math.min(session_low_2, low)
    range_end_time_2 := time

if in_hl_check_time_2
    if not track_2.high_taken and high >= session_high_2
        track_2.high_taken := true
        track_2.count_high_taken += 1
    if not track_2.low_taken and low <= session_low_2
        track_2.low_taken := true
        track_2.count_low_taken += 1

if not in_range_time_2 and in_range_time_2[1] and new_session_2
    if show_box_2
        track_2.range_box := box.new(range_start_time_2, session_high_2, range_end_time_2, session_low_2, border_color=range_col_2, bgcolor=range_col_2, xloc=xloc.bar_time)
    float range_size = session_high_2 - session_low_2
    track_2.ret_price := session_low_2 + range_size * (ret_pct_2 / 100)
    if show_line_2
        track_2.ret_line := line.new(range_start_time_2, track_2.ret_price, range_end_time_2 + timeframe.in_seconds("D") * 1000, track_2.ret_price, xloc=xloc.bar_time, color=ret_line_col_2, style=style_2, width=line_width_2)
    track_2.ret_distance.unshift(range_size * (ret_pct_2 / 100))
    new_session_2 := false

if in_ret_time_2 and not track_2.returned
    if high >= track_2.ret_price and low <= track_2.ret_price
        track_2.returned := true
        track_2.count_returned += 1
        if track_2.high_taken
            track_2.count_returned_high_taken += 1
        else
            track_2.count_returned_high_not_taken += 1
        if track_2.low_taken
            track_2.count_returned_low_taken += 1
        else
            track_2.count_returned_low_not_taken += 1

// Logic for Level 3
if in_range_time_3 and not in_range_time_3[1]
    session_high_3 := high
    session_low_3 := low
    range_start_time_3 := time
    new_session_3 := true
    track_3.count_sessions += 1
    track_3.high_taken := false
    track_3.low_taken := false

if in_range_time_3
    session_high_3 := math.max(session_high_3, high)
    session_low_3 := math.min(session_low_3, low)
    range_end_time_3 := time

if in_hl_check_time_3
    if not track_3.high_taken and high >= session_high_3
        track_3.high_taken := true
        track_3.count_high_taken += 1
    if not track_3.low_taken and low <= session_low_3
        track_3.low_taken := true
        track_3.count_low_taken += 1

if not in_range_time_3 and in_range_time_3[1] and new_session_3
    if show_box_3
        track_3.range_box := box.new(range_start_time_3, session_high_3, range_end_time_3, session_low_3, border_color=range_col_3, bgcolor=range_col_3, xloc=xloc.bar_time)
    float range_size = session_high_3 - session_low_3
    track_3.ret_price := session_low_3 + range_size * (ret_pct_3 / 100)
    if show_line_3
        track_3.ret_line := line.new(range_start_time_3, track_3.ret_price, range_end_time_3 + timeframe.in_seconds("D") * 1000, track_3.ret_price, xloc=xloc.bar_time, color=ret_line_col_3, style=style_3, width=line_width_3)
    track_3.ret_distance.unshift(range_size * (ret_pct_3 / 100))
    new_session_3 := false

if in_ret_time_3 and not track_3.returned
    if high >= track_3.ret_price and low <= track_3.ret_price
        track_3.returned := true
        track_3.count_returned += 1
        if track_3.high_taken
            track_3.count_returned_high_taken += 1
        else
            track_3.count_returned_high_not_taken += 1
        if track_3.low_taken
            track_3.count_returned_low_taken += 1
        else
            track_3.count_returned_low_not_taken += 1

// Logic for Level 4
if in_range_time_4 and not in_range_time_4[1]
    session_high_4 := high
    session_low_4 := low
    range_start_time_4 := time
    new_session_4 := true
    track_4.count_sessions += 1
    track_4.high_taken := false
    track_4.low_taken := false

if in_range_time_4
    session_high_4 := math.max(session_high_4, high)
    session_low_4 := math.min(session_low_4, low)
    range_end_time_4 := time

if in_hl_check_time_4
    if not track_4.high_taken and high >= session_high_4
        track_4.high_taken := true
        track_4.count_high_taken += 1
    if not track_4.low_taken and low <= session_low_4
        track_4.low_taken := true
        track_4.count_low_taken += 1

if not in_range_time_4 and in_range_time_4[1] and new_session_4
    if show_box_4
        track_4.range_box := box.new(range_start_time_4, session_high_4, range_end_time_4, session_low_4, border_color=range_col_4, bgcolor=range_col_4, xloc=xloc.bar_time)
    float range_size = session_high_4 - session_low_4
    track_4.ret_price := session_low_4 + range_size * (ret_pct_4 / 100)
    if show_line_4
        track_4.ret_line := line.new(range_start_time_4, track_4.ret_price, range_end_time_4 + timeframe.in_seconds("D") * 1000, track_4.ret_price, xloc=xloc.bar_time, color=ret_line_col_4, style=style_4, width=line_width_4)
    track_4.ret_distance.unshift(range_size * (ret_pct_4 / 100))
    new_session_4 := false

if in_ret_time_4 and not track_4.returned
    if high >= track_4.ret_price and low <= track_4.ret_price
        track_4.returned := true
        track_4.count_returned += 1
        if track_4.high_taken
            track_4.count_returned_high_taken += 1
        else
            track_4.count_returned_high_not_taken += 1
        if track_4.low_taken
            track_4.count_returned_low_taken += 1
        else
            track_4.count_returned_low_not_taken += 1

// Logic for Level 5
if in_range_time_5 and not in_range_time_5[1]
    session_high_5 := high
    session_low_5 := low
    range_start_time_5 := time
    new_session_5 := true
    track_5.count_sessions += 1
    track_5.high_taken := false
    track_5.low_taken := false

if in_range_time_5
    session_high_5 := math.max(session_high_5, high)
    session_low_5 := math.min(session_low_5, low)
    range_end_time_5 := time

if in_hl_check_time_5
    if not track_5.high_taken and high >= session_high_5
        track_5.high_taken := true
        track_5.count_high_taken += 1
    if not track_5.low_taken and low <= session_low_5
        track_5.low_taken := true
        track_5.count_low_taken += 1

if not in_range_time_5 and in_range_time_5[1] and new_session_5
    if show_box_5
        track_5.range_box := box.new(range_start_time_5, session_high_5, range_end_time_5, session_low_5, border_color=range_col_5, bgcolor=range_col_5, xloc=xloc.bar_time)
    float range_size = session_high_5 - session_low_5
    track_5.ret_price := session_low_5 + range_size * (ret_pct_5 / 100)
    if show_line_5
        track_5.ret_line := line.new(range_start_time_5, track_5.ret_price, range_end_time_5 + timeframe.in_seconds("D") * 1000, track_5.ret_price, xloc=xloc.bar_time, color=ret_line_col_5, style=style_5, width=line_width_5)
    track_5.ret_distance.unshift(range_size * (ret_pct_5 / 100))
    new_session_5 := false

if in_ret_time_5 and not track_5.returned
    if high >= track_5.ret_price and low <= track_5.ret_price
        track_5.returned := true
        track_5.count_returned += 1
        if track_5.high_taken
            track_5.count_returned_high_taken += 1
        else
            track_5.count_returned_high_not_taken += 1
        if track_5.low_taken
            track_5.count_returned_low_taken += 1
        else
            track_5.count_returned_low_not_taken += 1

// Reset variables at start of new day
if timeframe.change("D")
    track_1.returned := false
    track_1.high_taken := false
    track_1.low_taken := false
    session_high_1 := na
    session_low_1 := na
    range_start_time_1 := na
    range_end_time_1 := na
    track_2.returned := false
    track_2.high_taken := false
    track_2.low_taken := false
    session_high_2 := na
    session_low_2 := na
    range_start_time_2 := na
    range_end_time_2 := na
    track_3.returned := false
    track_3.high_taken := false
    track_3.low_taken := false
    session_high_3 := na
    session_low_3 := na
    range_start_time_3 := na
    range_end_time_3 := na
    track_4.returned := false
    track_4.high_taken := false
    track_4.low_taken := false
    session_high_4 := na
    session_low_4 := na
    range_start_time_4 := na
    range_end_time_4 := na
    track_5.returned := false
    track_5.high_taken := false
    track_5.low_taken := false
    session_high_5 := na
    session_low_5 := na
    range_start_time_5 := na
    range_end_time_5 := na

// Table setup
tablePosition = input.string("top_center", "Table Position", options=["top_left", "top_center", "top_right", "middle_left", "middle_center", "middle_right", "bottom_left", "bottom_center", "bottom_right"])
tableTextSize = input.string("small", "Text Size", options=["tiny", "small", "normal", "large"])
bd_color = input.color(color.black, "Border Color")
bg_color = input.color(color.black, "Header Background Color")
row_bg_color = input.color(color.white, "Row Background Color")
header_text_color = input.color(color.white, "Header Text Color")
row_text_color = input.color(color.black, "Row Text Color")
fr_color = input.color(color.black, "Frame Color")

getTablePosition(positionStr) =>
    switch positionStr
        "top_left" => position.top_left
        "top_center" => position.top_center
        "top_right" => position.top_right
        "middle_left" => position.middle_left
        "middle_center" => position.middle_center
        "middle_right" => position.middle_right
        "bottom_left" => position.bottom_left
        "bottom_center" => position.bottom_center
        "bottom_right" => position.bottom_right

getTableTextSize(sizeStr) =>
    switch sizeStr
        "tiny" => size.tiny
        "small" => size.small
        "normal" => size.normal
        "large" => size.large

tablePositionValue = getTablePosition(tablePosition)
tableTextSizeValue = getTableTextSize(tableTextSize)

if barstate.islast
    var tbl = table.new(tablePositionValue, 12, 6, bgcolor=bg_color, frame_color=fr_color, frame_width=2, border_color=bd_color, border_width=1, force_overlay=true)
    // Headers
    table.cell(tbl, 0, 0, "Range Time", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 0, "HL Time", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 0, "Ret Time", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 0, "Avg Dist", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 0, "Sample", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 0, "Target %", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 0, "Success", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 0, "High Taken %", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 0, "High Not Taken %", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 0, "Low Taken %", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 0, "Low Not Taken %", text_color=header_text_color, bgcolor=bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    // Level 1
    table.cell(tbl, 0, 1, str.tostring(range_time_1), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 1, str.tostring(hl_check_time_1), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 1, str.tostring(ret_time_1), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 1, str.format("{0,number,#.#}", track_1.ret_distance.avg()), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 1, str.format("{0,number,#}", track_1.count_sessions), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 1, str.format("{0,number,percent}", ret_pct_1 / 100), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 1, str.format("{0,number,percent}", track_1.count_returned / math.max(track_1.count_sessions, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 1, str.format("{0,number,percent}", track_1.count_returned_high_taken / math.max(track_1.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 1, str.format("{0,number,percent}", track_1.count_returned_high_not_taken / math.max(track_1.count_sessions - track_1.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 1, str.format("{0,number,percent}", track_1.count_returned_low_taken / math.max(track_1.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 1, str.format("{0,number,percent}", track_1.count_returned_low_not_taken / math.max(track_1.count_sessions - track_1.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    // Level 2
    table.cell(tbl, 0, 2, str.tostring(range_time_2), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 2, str.tostring(hl_check_time_2), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 2, str.tostring(ret_time_2), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 2, str.format("{0,number,#.#}", track_2.ret_distance.avg()), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 2, str.format("{0,number,#}", track_2.count_sessions), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 2, str.format("{0,number,percent}", ret_pct_2 / 100), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 2, str.format("{0,number,percent}", track_2.count_returned / math.max(track_2.count_sessions, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 2, str.format("{0,number,percent}", track_2.count_returned_high_taken / math.max(track_2.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 2, str.format("{0,number,percent}", track_2.count_returned_high_not_taken / math.max(track_2.count_sessions - track_2.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 2, str.format("{0,number,percent}", track_2.count_returned_low_taken / math.max(track_2.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 2, str.format("{0,number,percent}", track_2.count_returned_low_not_taken / math.max(track_2.count_sessions - track_2.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    // Level 3
    table.cell(tbl, 0, 3, str.tostring(range_time_3), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 3, str.tostring(hl_check_time_3), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 3, str.tostring(ret_time_3), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 3, str.format("{0,number,#.#}", track_3.ret_distance.avg()), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 3, str.format("{0,number,#}", track_3.count_sessions), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 3, str.format("{0,number,percent}", ret_pct_3 / 100), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 3, str.format("{0,number,percent}", track_3.count_returned / math.max(track_3.count_sessions, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 3, str.format("{0,number,percent}", track_3.count_returned_high_taken / math.max(track_3.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 3, str.format("{0,number,percent}", track_3.count_returned_high_not_taken / math.max(track_3.count_sessions - track_3.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 3, str.format("{0,number,percent}", track_3.count_returned_low_taken / math.max(track_3.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 3, str.format("{0,number,percent}", track_3.count_returned_low_not_taken / math.max(track_3.count_sessions - track_3.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    // Level 4
    table.cell(tbl, 0, 4, str.tostring(range_time_4), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 4, str.tostring(hl_check_time_4), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 4, str.tostring(ret_time_4), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 4, str.format("{0,number,#.#}", track_4.ret_distance.avg()), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 4, str.format("{0,number,#}", track_4.count_sessions), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 4, str.format("{0,number,percent}", ret_pct_4 / 100), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 4, str.format("{0,number,percent}", track_4.count_returned / math.max(track_4.count_sessions, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 4, str.format("{0,number,percent}", track_4.count_returned_high_taken / math.max(track_4.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 4, str.format("{0,number,percent}", track_4.count_returned_high_not_taken / math.max(track_4.count_sessions - track_4.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 4, str.format("{0,number,percent}", track_4.count_returned_low_taken / math.max(track_4.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 4, str.format("{0,number,percent}", track_4.count_returned_low_not_taken / math.max(track_4.count_sessions - track_4.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    // Level 5
    table.cell(tbl, 0, 5, str.tostring(range_time_5), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 1, 5, str.tostring(hl_check_time_5), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 2, 5, str.tostring(ret_time_5), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 3, 5, str.format("{0,number,#.#}", track_5.ret_distance.avg()), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 4, 5, str.format("{0,number,#}", track_5.count_sessions), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 5, 5, str.format("{0,number,percent}", ret_pct_5 / 100), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 6, 5, str.format("{0,number,percent}", track_5.count_returned / math.max(track_5.count_sessions, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 7, 5, str.format("{0,number,percent}", track_5.count_returned_high_taken / math.max(track_5.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 8, 5, str.format("{0,number,percent}", track_5.count_returned_high_not_taken / math.max(track_5.count_sessions - track_5.count_high_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 9, 5, str.format("{0,number,percent}", track_5.count_returned_low_taken / math.max(track_5.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)
    table.cell(tbl, 10, 5, str.format("{0,number,percent}", track_5.count_returned_low_not_taken / math.max(track_5.count_sessions - track_5.count_low_taken, 1)), text_color=row_text_color, bgcolor=row_bg_color, text_size=tableTextSizeValue, text_font_family=font.family_monospace)

Overview

For each level it records the high and low of a chosen range window, then draws an optional box for that range and a horizontal retracement line at a user-set percentage of the range. Separate high-low and retracement session windows, line style, width, colors, and show toggles control each level. The visible code does not define entries, exits, or a stop loss, and it does not state that signals repaint.

Details

Published by

TamaraKGreen on GitHub

Code credit

notprofessorgreen, as written in the script's header

Type

Indicator, Pine Script v5

Draws

On the price chart

Category

Sessions & time, Support & resistance

Markets

Any symbol

Timeframes

M15-H1

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

File

Time based Range Retracement with Stats.txt

Repository

github.com/TamaraKGreen/Pinescript-indicators-. See its other scripts in the library

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Range Time (Box)session0200-0230range_time_1
High/Low Check Timesession0230-0800hl_check_time_1
Retracement Check Timesession0800-1500ret_time_1
Retracement %float50.0ret_pct_1
Range Box Colorcolorcolor.rgb(98, 1, 255, 75)range_col_1
Retracement Line Colorcolorcolor.rgb(98, 1, 255, 0)ret_line_col_1
Show Range Boxbooltrueshow_box_1
Show Retracement Linebooltrueshow_line_1
Retracement Line StylestringDottedRetracement Line Style
Retracement Line Widthint1line_width_1
Range Time (Box)session0900-0930range_time_2
High/Low Check Timesession0930-1300hl_check_time_2
Show all 40 settings
SettingTypeDefaultVariable
Retracement Check Timesession1300-1500ret_time_2
Retracement %float50.0ret_pct_2
Range Box Colorcolorcolor.rgb(255, 0, 0, 75)range_col_2
Retracement Line Colorcolorcolor.rgb(255, 0, 0, 0)ret_line_col_2
Show Range Boxbooltrueshow_box_2
Show Retracement Linebooltrueshow_line_2
Retracement Line StylestringDottedRetracement Line Style
Retracement Line Widthint1line_width_2
Range Time (Box)session0000-0030range_time_3
High/Low Check Timesession0030-0200hl_check_time_3
Retracement Check Timesession0200-0800ret_time_3
Retracement %float50.0ret_pct_3
Range Box Colorcolorcolor.rgb(0, 4, 255, 75)range_col_3
Retracement Line Colorcolorcolor.rgb(0, 4, 255, 0)ret_line_col_3
Show Range Boxbooltrueshow_box_3
Show Retracement Linebooltrueshow_line_3
Retracement Line StylestringDottedRetracement Line Style
Retracement Line Widthint1line_width_3
Range Time (Box)session1100-1130range_time_4
High/Low Check Timesession1130-1200hl_check_time_4
Retracement Check Timesession1200-1500ret_time_4
Retracement %float50.0ret_pct_4
Range Box Colorcolorcolor.rgb(255, 255, 0, 50)range_col_4
Retracement Line Colorcolorcolor.rgb(255, 255, 0, 0)ret_line_col_4
Show Range Boxbooltrueshow_box_4
Show Retracement Linebooltrueshow_line_4
Retracement Line StylestringDottedRetracement Line Style
Retracement Line Widthint1line_width_4
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.

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