Exhaustion Reversal Signals - ENHANCEDOverview
This is a reversal detection indicator that combines multiple technical analysis components to identify potential market turning points.
Core Components
1. Range Oscillator
Measures price deviation from a moving average (EMA/SMA) normalized by ATR
Values above +100 = bullish exhaustion zone
Values below -100 = bearish exhaustion zone
Detects momentum flattening (slope deceleration)
2. Stochastic Oscillator
Standard %K and %D with customizable parameters
Crossover detection (K crossing above/below D)
Oversold (<20) and Overbought (>80) zones
Momentum calculation (rate of change in K)
3. 🚀 Advanced Features
Early Detection System:
Identifies momentum exhaustion before confirmed crossovers
Detects when oscillator slope flattens (approaching zero)
Provides "advance warning" signals with relaxed thresholds
............................................................................................
Trend Filter:
50-period EMA for trend context
Three strength modes:
Soft: Allow all signals
Medium: Prefer trend-aligned signals
Strict: Only counter-trend reversals
Confidence Scoring (0-100%):
Oscillator extremity (30 pts)
Stochastic position (25 pts)
K-D divergence strength (20 pts)
Momentum alignment (15 pts)
Trend alignment (10 pts)
Minimum confidence threshold filtering
Visual Enhancements:
Dynamic background gradient (red→green based on oscillator)
Momentum bar coloring when slope flattens
Transparency adjustments based on momentum
מחזורים
ICT Killzones & FVG// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Mutharasan12
//@version=5
indicator("ICT Killzones & FVG", "ICT Killzones & FVG", overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
// ---------------------------------------- Constant Functions --------------------------------------------------
get_line_type(_style) =>
result = switch _style
'Solid' => line.style_solid
'Dotted' => line.style_dotted
'Dashed' => line.style_dashed
result
get_size(x) =>
result = switch x
'Auto' => size.auto
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Large' => size.large
'Huge' => size.huge
get_table_pos(pos) =>
result = switch pos
"Bottom Center" => position.bottom_center
"Bottom Left" => position.bottom_left
"Bottom Right" => position.bottom_right
"Middle Center" => position.middle_center
"Middle Left" => position.middle_left
"Middle Right" => position.middle_right
"Top Center" => position.top_center
"Top Left" => position.top_left
"Top Right" => position.top_right
get_font_style(s) =>
result = switch s
'Monospace' => font.family_monospace
'Default' => font.family_default
// ---------------------------------------- Constant Functions --------------------------------------------------
// ---------------------------------------- Inputs --------------------------------------------------
gmt_tz = input.string('America/New_York', "Timezone", options = , tooltip = "Note GMT is not adjusted to reflect Daylight Saving Time changes", group = 'Time Zone')
DWM_profile = input.bool(true,"Show All Profile",inline="Show",group = 'Profile')
D_profile = input.bool(true,"Show Daily",inline = "Show",group = 'Profile')
hide_lines_DO = input.timeframe("60","Daily:",inline = "Hide",group = 'Hide Above')
W_profile = input.bool(true,"Weekly",inline="Show",group = 'Profile')
hide_lines_WO = input.timeframe("240","Weekly:",inline="Hide",group = 'Hide Above')
M_profile = input.bool(true,"Monthly",inline="Show",group = 'Profile')
hide_lines_MO = input.timeframe("1D","Monthly:",inline="Hide",group = 'Hide Above')
show_kz = input.bool(false, "Show Killzone Boxes", inline = "skz", group = 'Hide KillZone')
var g_SETTINGS = "Settings"
max_days = input.int(60, "Drawing Limit", 1, inline = 'dl', tooltip = "Only this many drawings will be kept on the chart, for each selected drawing type (killzone boxes, pivot lines, open lines, etc.)", group = g_SETTINGS)
tf_limit = input.timeframe("30", "Timeframe Limit", inline = 'dl', tooltip = "Drawings will not appear on timeframes greater than or equal to this", group = g_SETTINGS)
lbl_size = get_size(input.string('Tiny', "Label Size", inline = 'sc', options = , tooltip = "The size of all labels", group = g_SETTINGS))
font_style = get_font_style(input.string('Monospace', "Font Style", inline = 'sc', group = g_SETTINGS, options = ))
txt_color = input.color(#000000, "Text Color", inline = 'sc', tooltip = "The color of all label and table text", group = g_SETTINGS)
use_cutoff = input.bool(true, "Drawing Cutoff Time", inline = "CO", tooltip = "When enabled, all pivots and open price lines will stop extending at this time", group = g_SETTINGS)
cutoff = input.session("1700-1701", "", inline = "CO", group = g_SETTINGS)
var g_KZ = "Killzones"
show_kz_text = input.bool(false, "Display Text", inline = "KZ", group = g_KZ)
box_transparency = input.int(85, "Box Transparency", 0, 100, group = g_KZ)
text_transparency = input.int(50, "Text Transparency", 0, 100, group = g_KZ)
use_asia = input.bool(true, "", inline = "ASIA", group = g_KZ)
as_txt = input.string("ASIA", "", inline = "ASIA", group = g_KZ)
asia = input.session("2000-0000", "", inline = "ASIA", group = g_KZ)
as_color = input.color(#9598a1, "", inline = "ASIA", group = g_KZ)
use_london = input.bool(true, "", inline = "LONDON", group = g_KZ)
lo_txt = input.string("OPEN", "", inline = "LONDON", group = g_KZ)
london = input.session("0200-0500", "", inline = "LONDON", group = g_KZ)
lo_color = input.color(#9598a1, "", inline = "LONDON", group = g_KZ)
use_nyam = input.bool(true, "", inline = "NYAM", group = g_KZ)
na_txt = input.string("NYAM", "", inline = "NYAM", group = g_KZ)
nyam = input.session("0700-1000", "", inline = "NYAM", group = g_KZ)
na_color = input.color(#9598a1, "", inline = "NYAM", group = g_KZ)
use_nylu = input.bool(false, "", inline = "NYLU", group = g_KZ)
nl_txt = input.string("Lunch", "", inline = "NYLU", group = g_KZ)
nylu = input.session("1200-1300", "", inline = "NYLU", group = g_KZ)
nl_color = input.color(#9598a1, "", inline = "NYLU", group = g_KZ)
use_nypm = input.bool(false, "", inline = "NYPM", group = g_KZ)
np_txt = input.string("NYPM", "", inline = "NYPM", group = g_KZ)
nypm = input.session("1300-1600", "", inline = "NYPM", group = g_KZ)
np_color = input.color(#9598a1, "", inline = "NYPM", group = g_KZ)
use_loop = input.bool(true, "", inline = "LOOP", group = g_KZ)
op_txt = input.string("CBDR", "", inline = "LOOP", group = g_KZ)
loop = input.session("1400-2000", "", inline = "LOOP", group = g_KZ)
op_color = input.color(#9598a1, "", inline = "LOOP", group = g_KZ)
use_locl = input.bool(true, "", inline = "LOCL", group = g_KZ)
cl_txt = input.string("CLOSE", "", inline = "LOCL", group = g_KZ)
locl = input.session("1000-1200", "", inline = "LOCL", group = g_KZ)
cl_color = input.color(#9598a1, "", inline = "LOCL", group = g_KZ)
use_sb1 = input.bool(false, "", inline = "SB1", group = g_KZ)
m1_txt = input.string("London SB", "", inline = "SB1", group = g_KZ)
sb1 = input.session("0300-0400", "", inline = "SB1", group = g_KZ)
m1_color = input.color(#9598a1, "", inline = "SB1", group = g_KZ)
use_sb2 = input.bool(false, "", inline = "SB2", group = g_KZ)
m2_txt = input.string("NewYork AM SB", "", inline = "SB2", group = g_KZ)
sb2 = input.session("1000-1100", "", inline = "SB2", group = g_KZ)
m2_color = input.color(#9598a1, "", inline = "SB2", group = g_KZ)
use_sb3 = input.bool(false, "", inline = "SB3", group = g_KZ)
m3_txt = input.string("NewYork PM SB", "", inline = "SB3", group = g_KZ)
sb3 = input.session("1400-1500", "", inline = "SB3", group = g_KZ)
m3_color = input.color(#9598a1, "", inline = "SB3", group = g_KZ)
var g_LABELS = "Killzone Pivots"
use_alerts = input.bool(false, "Alert Broken Pivots", inline = "PV", group = g_LABELS)
show_pivots = input.bool(false, "Show Pivots", inline = "SV", group = g_LABELS)
show_labels = input.bool(false, "Pivots Labels", inline = "SV", group = g_LABELS)
show_midpoints = input.bool(false, "Pivots Midpoints",inline = "SV", group = g_LABELS)
ext_pivots = input.string("Until Mitigated", "Extend Pivots...", options = , group = g_LABELS)
ext_which = input.string("Most Recent", "...From Which Sessions", options = , group = g_LABELS)
ash_str = input.string("AS.H", "Killzone 01 Labels", inline = "L_AS", group = g_LABELS)
asl_str = input.string("AS.L", "", inline = "L_AS", group = g_LABELS)
loh_str = input.string("LO.H", "Killzone 02 Labels", inline = "L_LO", group = g_LABELS)
lol_str = input.string("LO.L", "", inline = "L_LO", group = g_LABELS)
nah_str = input.string("NYAM.H", "Killzone 03 Labels", inline = "L_NA", group = g_LABELS)
nal_str = input.string("NYAM.L", "", inline = "L_NA", group = g_LABELS)
nlh_str = input.string("NYL.H", "Killzone 04 Labels", inline = "L_NL", group = g_LABELS)
nll_str = input.string("NYL.L", "", inline = "L_NL", group = g_LABELS)
nph_str = input.string("NYPM.H", "Killzone 05 Labels", inline = "L_NP", group = g_LABELS)
npl_str = input.string("NYPM.L", "", inline = "L_NP", group = g_LABELS)
oph_str = input.string("LOOP.H", "Killzone 06 Labels", inline = "L_OP", group = g_LABELS)
opl_str = input.string("LOOP.L", "", inline = "L_OP", group = g_LABELS)
clh_str = input.string("LOCL.H", "Killzone 07 Labels", inline = "L_CL", group = g_LABELS)
cll_str = input.string("LOCL.L", "", inline = "L_CL", group = g_LABELS)
m1h_str = input.string("SB1.H", "Killzone 08 Labels", inline = "L_M1", group = g_LABELS)
m1l_str = input.string("SB1.L", "", inline = "L_M1", group = g_LABELS)
m2h_str = input.string("SB2.H", "Killzone 09 Labels", inline = "L_M2", group = g_LABELS)
m2l_str = input.string("SB2.L", "", inline = "L_M2", group = g_LABELS)
m3h_str = input.string("SB3.H", "Killzone 10 Labels", inline = "L_M3", group = g_LABELS)
m3l_str = input.string("SB3.L", "", inline = "L_M3", group = g_LABELS)
kzp_style = get_line_type(input.string(defval = 'Solid', title = "Pivot Style", options = , inline = "KZP", group = g_LABELS))
kzp_width = input.int(1, "", inline = "KZP", group = g_LABELS)
kzm_style = get_line_type(input.string(defval = 'Dotted', title = "Midpoint Style", options = , inline = "KZM", group = g_LABELS))
kzm_width = input.int(1, "", inline = "KZM", group = g_LABELS)
var g_RNG = "Killzone Range"
show_range = input.bool(false, "Show Killzone Range", tooltip = "Show the most recent ranges of each selected killzone, from high to low", group = g_RNG)
show_range_avg = input.bool(true, "Show Average", tooltip = "Show the average range of each selected killzone", group = g_RNG)
range_avg = input.int(5, "Average Length", 0, tooltip = "This many previous sessions will be used to calculate the average. If there isn't enough data on the current chart, it will use as many sessions as possible", group = g_RNG)
range_pos = get_table_pos(input.string('Top Right', "Table Position", options = , group = g_RNG))
range_size = get_size(input.string('Normal', "Table Size", options = , group = g_RNG))
var g_DWM = "Day - Week - Month"
dow_labels = input.bool(false, "Day of Week Labels", inline = "DOW", group = g_DWM)
dow_yloc = input.string('Bottom', "", options = , inline = "DOW", group = g_DWM)
dow_xloc = input.string('Midnight', "", options = , inline = "DOW", group = g_DWM)
sep_unlimited = input.bool(true, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_DWM)
show_d_open = input.bool(true, "D Open", inline = "DO", group = g_DWM)
dhl = input.bool(true, "High/Low", inline = "DO", tooltip = "", group = g_DWM)
ds = input.bool(true, "Separators", inline = "DO", tooltip = "Mark where a new day begins", group = g_DWM)
d_color = input.color(color.blue, "", inline = "DO", group = g_DWM)
show_w_open = input.bool(true, "W Open", inline = "WO", group = g_DWM)
whl = input.bool(true, "High/Low", inline = "WO", tooltip = "", group = g_DWM)
ws = input.bool(true, "Separators", inline = "WO", tooltip = "Mark where a new week begins", group = g_DWM)
w_color = input.color(#089981, "", inline = "WO", group = g_DWM)
show_m_open = input.bool(true, "M Open", inline = "MO", group = g_DWM)
mhl = input.bool(true, "High/Low", inline = "MO", tooltip = "", group = g_DWM)
ms = input.bool(true, "Separators", inline = "MO", tooltip = "Mark where a new month begins", group = g_DWM)
m_color = input.color(color.red, "", inline = "MO", group = g_DWM)
htf_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "D0", group = g_DWM))
htf_width = input.int(1, "", inline = "D0", group = g_DWM)
var g_OPEN = "Opening Prices"
open_unlimited = input.bool(true, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_OPEN)
hide_hline = input.bool(true,"Show Opening Price",group = g_OPEN)
hide_lines_h = input.timeframe("60","Hide Above Time Frame",group = g_OPEN)
use_h1 = input.bool(true, "", inline = "H1", group = g_OPEN)
h1_text = input.string("00:00", "", inline = "H1", group = g_OPEN)
h1 = input.session("0000-0001", "", inline = "H1", group = g_OPEN)
h1_color = input.color(#000000, "", inline = "H1", group = g_OPEN)
use_h2 = input.bool(true, "", inline = "H2", group = g_OPEN)
h2_text = input.string("08:30", "", inline = "H2", group = g_OPEN)
h2 = input.session("0830-0831", "", inline = "H2", group = g_OPEN)
h2_color = input.color(#000000, "", inline = "H2", group = g_OPEN)
use_h3 = input.bool(false, "", inline = "H3", group = g_OPEN)
h3_text = input.string("10:00", "", inline = "H3", group = g_OPEN)
h3 = input.session("1000-1001", "", inline = "H3", group = g_OPEN)
h3_color = input.color(#000000, "", inline = "H3", group = g_OPEN)
use_h4 = input.bool(false, "", inline = "H4", group = g_OPEN)
h4_text = input.string("14:00", "", inline = "H4", group = g_OPEN)
h4 = input.session("1400-1401", "", inline = "H4", group = g_OPEN)
h4_color = input.color(#000000, "", inline = "H4", group = g_OPEN)
hz_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "H0", group = g_OPEN))
hz_width = input.int(1, "", inline = "H0", group = g_OPEN)
var g_VERTICAL = "Timestamps"
hide_vline = input.bool(true,"Show Timestamp",group = g_VERTICAL)
hide_lines_v = input.timeframe("60","Hide Above Time Frame",group = g_VERTICAL)
use_v1 = input.bool(true, "", inline = "V1", group = g_VERTICAL)
v1 = input.session("0000-0001", "", inline = "V1", group = g_VERTICAL)
v1_color = input.color(#000000, "", inline = "V1", group = g_VERTICAL)
use_v2 = input.bool(false, "", inline = "V2", group = g_VERTICAL)
v2 = input.session("0800-0801", "", inline = "V2", group = g_VERTICAL)
v2_color = input.color(#000000, "", inline = "V2", group = g_VERTICAL)
use_v3 = input.bool(false, "", inline = "V3", group = g_VERTICAL)
v3 = input.session("1000-1001", "", inline = "V3", group = g_VERTICAL)
v3_color = input.color(#000000, "", inline = "V3", group = g_VERTICAL)
use_v4 = input.bool(false, "", inline = "V4", group = g_VERTICAL)
v4 = input.session("1200-1201", "", inline = "V4", group = g_VERTICAL)
v4_color = input.color(#000000, "", inline = "V4", group = g_VERTICAL)
vl_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "V0", group = g_VERTICAL))
vl_width = input.int(1, "", inline = "V0", group = g_VERTICAL)
// ---------------------------------------- Inputs --------------------------------------------------
// ---------------------------------------- Variables & Constants --------------------------------------------------
type kz
string _title
box _box
line _hi_line
line _md_line
line _lo_line
label _hi_label
label _lo_label
bool _hi_valid
bool _md_valid
bool _lo_valid
float _range_store
float _range_current
type hz
line LN
label LB
bool CO
type dwm_hl
line hi_line
line lo_line
label hi_label
label lo_label
type dwm_info
string tf
float o = na
float h = na
float l = na
float ph = na
float pl = na
var as_kz = kz.new(as_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var lo_kz = kz.new(lo_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var na_kz = kz.new(na_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var nl_kz = kz.new(nl_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var np_kz = kz.new(np_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var op_kz = kz.new(op_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var cl_kz = kz.new(cl_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m1_kz = kz.new(m1_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m2_kz = kz.new(m2_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m3_kz = kz.new(m3_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var hz_1 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_2 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_3 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_4 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var d_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var w_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var m_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var d_info = dwm_info.new("D")
var w_info = dwm_info.new("W")
var m_info = dwm_info.new("M")
t_as = not na(time("", asia, gmt_tz))
t_lo = not na(time("", london, gmt_tz))
t_na = not na(time("", nyam, gmt_tz))
t_nl = not na(time("", nylu, gmt_tz))
t_np = not na(time("", nypm, gmt_tz))
t_op = not na(time("", loop, gmt_tz))
t_cl = not na(time("", locl, gmt_tz))
t_m1 = not na(time("", sb1, gmt_tz))
t_m2 = not na(time("", sb2, gmt_tz))
t_m3 = not na(time("", sb3, gmt_tz))
t_co = not na(time("", cutoff, gmt_tz))
t_h1 = not na(time("", h1, gmt_tz))
t_h2 = not na(time("", h2, gmt_tz))
t_h3 = not na(time("", h3, gmt_tz))
t_h4 = not na(time("", h4, gmt_tz))
t_v1 = not na(time("", v1, gmt_tz))
t_v2 = not na(time("", v2, gmt_tz))
t_v3 = not na(time("", v3, gmt_tz))
t_v4 = not na(time("", v4, gmt_tz))
var d_sep_line = array.new_line()
var w_sep_line = array.new_line()
var m_sep_line = array.new_line()
var d_line = array.new_line()
var w_line = array.new_line()
var m_line = array.new_line()
var d_label = array.new_label()
var w_label = array.new_label()
var m_label = array.new_label()
var v1_line = array.new_line()
var v2_line = array.new_line()
var v3_line = array.new_line()
var v4_line = array.new_line()
var transparent = #ffffff00
var ext_current = ext_which == 'Most Recent'
var ext_past = ext_pivots == 'Past Mitigation'
update_dwm_info(dwm_info n) =>
if timeframe.change(n.tf)
n.ph := n.h
n.pl := n.l
n.o := open
n.h := high
n.l := low
else
n.h := math.max(high, n.h)
n.l := math.min(low, n.l)
if dhl or show_d_open
update_dwm_info(d_info)
if whl or show_w_open
update_dwm_info(w_info)
if mhl or show_m_open
update_dwm_info(m_info)
// ---------------------------------------- Variables & Constants --------------------------------------------------
// ---------------------------------------- Functions --------------------------------------------------
get_box_color(color c) =>
result = color.new(c, box_transparency)
get_text_color(color c) =>
result = color.new(c, text_transparency)
// ---------------------------------------- Functions --------------------------------------------------
// ---------------------------------------- Core Logic --------------------------------------------------
dwm_sep(string tf, bool use, line arr, color col) =>
if use
if timeframe.change(tf)
arr.unshift(line.new(bar_index, high*1.0001, bar_index, low, style = htf_style, width = htf_width, extend = extend.both, color = col))
if not sep_unlimited and arr.size() > max_days
arr.pop().delete()
dwm_open(string tf, bool use, line lns, label lbls, dwm_info n, color col) =>
if use
if timeframe.change(tf)
lns.unshift(line.new(time, n.o, time, n.o, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
lbls.unshift(label.new(time, n.o, tf + " OPEN", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
if not sep_unlimited and lns.size() > max_days
lns.pop().delete()
lbls.pop().delete()
else if lns.size() > 0
lns.get(0).set_x2(time)
lbls.get(0).set_x(time)
dwm_hl(string tf, bool use, dwm_hl hl, dwm_info n, color col) =>
if use
if timeframe.change(tf)
hl.hi_line.unshift(line.new(time, n.ph, time, n.ph, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
hl.lo_line.unshift(line.new(time, n.pl, time, n.pl, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
hl.hi_label.unshift(label.new(time, n.ph, "P"+tf+"H", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
hl.lo_label.unshift(label.new(time, n.pl, "P"+tf+"L", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
if not sep_unlimited and hl.hi_line.size() > max_days
hl.hi_line.pop().delete()
hl.lo_line.pop().delete()
hl.hi_label.pop().delete()
hl.lo_label.pop().delete()
else if hl.hi_line.size() > 0
hl.hi_line.get(0).set_x2(time)
hl.lo_line.get(0).set_x2(time)
hl.hi_label.get(0).set_x(time)
hl.lo_label.get(0).set_x(time)
dwm() =>
//if timeframe.in_seconds() <= hide_lines_sessions *60
if DWM_profile
if D_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_DO)
// Draw Daily separators, open lines, and high/low lines
dwm_sep("D", ds, d_sep_line, d_color)
dwm_open("D", show_d_open, d_line, d_label, d_info, d_color)
dwm_hl("D", dhl, d_hl, d_info, d_color)
// Draw Weekly and Monthly only if Daily profile allows it
if W_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_WO)
dwm_sep("W", ws, w_sep_line, w_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
else if W_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_WO)
// Draw Weekly separators, open lines, and high/low lines
dwm_sep("W", ws, w_sep_line, w_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
// Draw Monthly only if Weekly profile allows it
if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
else if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
// Draw Monthly separators, open lines, and high/low lines
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
vline(bool use, bool t, line arr, color col) =>
if use
if t and not t
arr.unshift(line.new(bar_index, high*1.0001, bar_index, low, style = vl_style, width = vl_width, extend = extend.both, color = col))
vlines() =>
if hide_vline
if timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_v)
vline(use_v1, t_v1, v1_line, v1_color)
vline(use_v2, t_v2, v2_line, v2_color)
vline(use_v3, t_v3, v3_line, v3_color)
vline(use_v4, t_v4, v4_line, v4_color)
hz_line(bool use, bool t, hz hz, string txt, color col) =>
if use
if t and not t
hz.LN.unshift(line.new(bar_index, open, bar_index, open, style = hz_style, width = hz_width, color = col))
hz.LB.unshift(label.new(bar_index, open, txt, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
array.unshift(hz.CO, false)
if not open_unlimited and hz.LN.size() > max_days
hz.LN.pop().delete()
hz.LB.pop().delete()
hz.CO.pop()
if not t and hz.CO.size() > 0
if not hz.CO.get(0)
hz.LN.get(0).set_x2(bar_index)
hz.LB.get(0).set_x(bar_index)
if (use_cutoff ? t_co : false)
hz.CO.set(0, true)
hz_lines() =>
if hide_hline
if timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_h)
hz_line(use_h1, t_h1, hz_1, h1_text, h1_color)
hz_line(use_h2, t_h2, hz_2, h2_text, h2_color)
hz_line(use_h3, t_h3, hz_3, h3_text, h3_color)
hz_line(use_h4, t_h4, hz_4, h4_text, h4_color)
del_kz(kz k) =>
if k._box.size() > max_days
k._box.pop().delete()
if k._hi_line.size() > max_days
k._hi_line.pop().delete()
k._lo_line.pop().delete()
k._hi_valid.pop()
k._lo_valid.pop()
if show_midpoints
k._md_line.pop().delete()
k._md_valid.pop()
if k._hi_label.size() > max_days
k._hi_label.pop().delete()
k._lo_label.pop().delete()
adjust_in_kz(kz kz, bool t) =>
if t
kz._box.get(0).set_right(time)
kz._box.get(0).set_top(math.max(kz._box.get(0).get_top(), high))
kz._box.get(0).set_bottom(math.min(kz._box.get(0).get_bottom(), low))
kz._range_current := kz._box.get(0).get_top() - kz._box.get(0).get_bottom()
if show_pivots and kz._hi_line.size() > 0
if high > kz._hi_line.get(0).get_y1()
kz._hi_line.get(0).set_xy1(time, high)
kz._hi_line.get(0).set_xy2(time, high)
if low < kz._lo_line.get(0).get_y1()
kz._lo_line.get(0).set_xy1(time, low)
kz._lo_line.get(0).set_xy2(time, low)
if show_midpoints
kz._md_line.get(0).set_xy1(time, math.avg(kz._hi_line.get(0).get_y2(), kz._lo_line.get(0).get_y2()))
kz._md_line.get(0).set_xy2(time, math.avg(kz._hi_line.get(0).get_y2(), kz._lo_line.get(0).get_y2()))
if show_labels and kz._hi_label.size() > 0
if high > kz._hi_label.get(0).get_y()
kz._hi_label.get(0).set_xy(time, high)
if low < kz._lo_label.get(0).get_y()
kz._lo_label.get(0).set_xy(time, low)
adjust_out_kz(kz kz, bool t) =>
if not t and kz._box.size() > 0
if t
array.unshift(kz._range_store, kz._range_current)
if kz._range_store.size() > range_avg
kz._range_store.pop()
if kz._box.size() > 0 and show_pivots
for i = 0 to kz._box.size() - 1
if not ext_current or (ext_current and i == 0)
if ext_past ? true : (kz._hi_valid.get(i) == true)
kz._hi_line.get(i).set_x2(time)
if high > kz._hi_line.get(i).get_y1() and kz._hi_valid.get(i) == true
if use_alerts and i == 0
alert("Broke "+kz._title+" High", alert.freq_once_per_bar)
kz._hi_valid.set(i, false)
else if (use_cutoff ? t_co : false)
kz._hi_valid.set(i, false)
if ext_past ? true : (kz._lo_valid.get(i) == true)
kz._lo_line.get(i).set_x2(time)
if low < kz._lo_line.get(i).get_y1() and kz._lo_valid.get(i) == true
if use_alerts and i == 0
alert("Broke "+kz._title+" Low", alert.freq_once_per_bar)
kz._lo_valid.set(i, false)
else if (use_cutoff ? t_co : false)
kz._lo_valid.set(i, false)
if show_midpoints
kz._md_line.get(i).set_x2(time)
else
break
manage_kz(kz kz, bool use, bool t, color c, string box_txt, string hi_txt, string lo_txt) =>
if timeframe.in_seconds("") <= timeframe.in_seconds(tf_limit) and use
if t and not t
_c = get_box_color(c)
_t = get_text_color(c)
kz._box.unshift(box.new(time, high, time, low, xloc = xloc.bar_time, border_color = show_kz ? _c : na, bgcolor = show_kz ? _c : na, text = (show_kz and show_kz_text) ? box_txt : na, text_color = _t))
if show_pivots
kz._hi_line.unshift(line.new(time, high, time, high, xloc = xloc.bar_time, style = kzp_style, color = c, width = kzp_width))
kz._lo_line.unshift(line.new(time, low, time, low, xloc = xloc.bar_time, style = kzp_style, color = c, width = kzp_width))
if show_midpoints
kz._md_line.unshift(line.new(time, math.avg(high, low), time, math.avg(high, low), xloc = xloc.bar_time, style = kzm_style, color = c, width = kzm_width))
array.unshift(kz._md_valid, true)
array.unshift(kz._hi_valid, true)
array.unshift(kz._lo_valid, true)
if show_labels
kz._hi_label.unshift(label.new(time, high, hi_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_down, size = lbl_size))
kz._lo_label.unshift(label.new(time, low, lo_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_up, size = lbl_size))
del_kz(kz)
adjust_in_kz(kz, t)
adjust_out_kz(kz, t)
manage_kz(as_kz, use_asia, t_as, as_color, as_txt, ash_str, asl_str)
manage_kz(lo_kz, use_london, t_lo, lo_color, lo_txt, loh_str, lol_str)
manage_kz(na_kz, use_nyam, t_na, na_color, na_txt, nah_str, nal_str)
manage_kz(nl_kz, use_nylu, t_nl, nl_color, nl_txt, nlh_str, nll_str)
manage_kz(np_kz, use_nypm, t_np, np_color, np_txt, nph_str, npl_str)
manage_kz(op_kz, use_loop, t_op, op_color, op_txt, oph_str, opl_str)
manage_kz(cl_kz, use_locl, t_cl, cl_color, cl_txt, clh_str, cll_str)
manage_kz(m1_kz, use_sb1, t_m1, m1_color, m1_txt, m1h_str, m1l_str)
manage_kz(m2_kz, use_sb2, t_m2, m2_color, m2_txt, m2h_str, m2l_str)
manage_kz(m3_kz, use_sb3, t_m3, m3_color, m3_txt, m3h_str, m3l_str)
dwm()
vlines()
hz_lines()
new_dow_time = dow_xloc == 'Midday' ? time - timeframe.in_seconds("D") / 2 * 1000 : time
new_day = dayofweek(new_dow_time, gmt_tz) != dayofweek(new_dow_time, gmt_tz)
var dow_top = dow_yloc == 'Top'
var sunday = "SUNDAY"
var monday = "MONDAY"
var tuesday = "TUESDAY"
var wednesday = "WEDNESDAY"
var thursday = "THURSDAY"
var friday = "FRIDAY"
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 1 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = sunday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 2 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = monday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 3 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = tuesday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 4 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = wednesday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 5 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = thursday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 6 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = friday)
get_min_days_stored() =>
store = array.new_int()
if as_kz._range_store.size() > 0
store.push(as_kz._range_store.size())
if lo_kz._range_store.size() > 0
store.push(lo_kz._range_store.size())
if na_kz._range_store.size() > 0
store.push(na_kz._range_store.size())
if nl_kz._range_store.size() > 0
store.push(nl_kz._range_store.size())
if np_kz._range_store.size() > 0
store.push(np_kz._range_store.size())
if op_kz._range_store.size() > 0
store.push(op_kz._range_store.size())
if cl_kz._range_store.size() > 0
store.push(cl_kz._range_store.size())
if m1_kz._range_store.size() > 0
store.push(m1_kz._range_store.size())
if m2_kz._range_store.size() > 0
store.push(m2_kz._range_store.size())
if m3_kz._range_store.size() > 0
store.push(m3_kz._range_store.size())
result = store.min()
set_table(table tbl, kz kz, int row, string txt, bool use, bool t, color col) =>
if use
table.cell(tbl, 0, row, txt, text_size = range_size, bgcolor = get_box_color(col), text_color = txt_color)
table.cell(tbl, 1, row, str.tostring(kz._range_current), text_size = range_size, bgcolor = t ? get_box_color(col) : na, text_color = txt_color)
if show_range_avg
table.cell(tbl, 2, row, str.tostring(kz._range_store.avg()), text_size = range_size, text_color = txt_color)
if show_range and barstate.islast
var tbl = table.new(range_pos, 10, 10, chart.bg_color, chart.fg_color, 2, chart.fg_color, 1)
table.cell(tbl, 0, 0, "Killzone", text_size = range_size, text_color = txt_color)
table.cell(tbl, 1, 0, "Range", text_size = range_size, text_color = txt_color)
if show_range_avg
table.cell(tbl, 2, 0, "Avg ("+str.tostring(get_min_days_stored())+")", text_size = range_size, text_color = txt_color)
set_table(tbl, as_kz, 1, as_txt, use_asia, t_as, as_color)
set_table(tbl, lo_kz, 2, lo_txt, use_london, t_lo, lo_color)
set_table(tbl, na_kz, 3, na_txt, use_nyam, t_na, na_color)
set_table(tbl, nl_kz, 4, nl_txt, use_nylu, t_nl, nl_color)
set_table(tbl, np_kz, 5, np_txt, use_nypm, t_np, np_color)
set_table(tbl, op_kz, 6, op_txt, use_loop, t_op, op_color)
set_table(tbl, cl_kz, 7, cl_txt, use_locl, t_cl, cl_color)
set_table(tbl, m1_kz, 8, m1_txt, use_sb1, t_m1, m1_color)
set_table(tbl, m2_kz, 9, m2_txt, use_sb2, t_m2, m2_color)
set_table(tbl, m3_kz, 10, m3_txt, use_sb3, t_m3, m3_color)
// ---------------------------------------- Core Logic --------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------//
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ©Mutharasan2
// Prev Published: 608
// Curr Published: 907
//@version=5
//2nd indicator("ICT HTF Candles (fadi)", overlay=true, max_boxes_count = 500, max_lines_count = 500, max_bars_back = 5000)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Trace
line o
line c
line h
line l
label o_l
label c_l
label h_l
label l_l
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool fvg_show
color fvg_color
bool vi_show
color vi_color
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
string level
string liquidity_open_style
string liquidity_claimed_style
color liquidity_open_color
color liquidity_claimed_color
int liquidity_open_size
int liquidity_claimed_size
int max_lines
int extend
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var CandleSettings SettingsHTF4 = CandleSettings.new()
var CandleSettings SettingsHTF5 = CandleSettings.new()
var CandleSettings SettingsHTF6 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var Candle candles_4 = array.new(0)
var Candle candles_5 = array.new(0)
var Candle candles_6 = array.new(0)
var Imbalance imbalances_1 = array.new()
var Imbalance imbalances_2 = array.new()
var Imbalance imbalances_3 = array.new()
var Imbalance imbalances_4 = array.new()
var Imbalance imbalances_5 = array.new()
var Imbalance imbalances_6 = array.new()
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
htf1.imbalances := imbalances_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
htf2.imbalances := imbalances_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
htf3.imbalances := imbalances_3
var CandleSet htf4 = CandleSet.new()
htf4.settings := SettingsHTF4
htf4.candles := candles_4
htf4.imbalances := imbalances_4
var CandleSet htf5 = CandleSet.new()
htf5.settings := SettingsHTF5
htf5.candles := candles_5
htf5.imbalances := imbalances_5
var CandleSet htf6 = CandleSet.new()
htf6.settings := SettingsHTF6
htf6.candles := candles_6
htf6.imbalances := imbalances_6
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(false, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("60", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(1, "", inline="htf1")
htf2.settings.show := input.bool(false, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("240", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(1, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(1, "", inline="htf3")
htf4.settings.show := input.bool(true, "HTF 4 ", inline="htf4")
htf_4 = input.timeframe("1W", "", inline="htf4")
htf4.settings.htf := htf_4
htf4.settings.max_display := input.int(1, "", inline="htf4")
htf5.settings.show := input.bool(true, "HTF 5 ", inline="htf5")
htf_5 = input.timeframe("1M", "", inline="htf5")
htf5.settings.htf := htf_5
htf5.settings.max_display := input.int(1, "", inline="htf5")
htf6.settings.show := input.bool(false, "HTF 6 ", inline="htf6")
htf_6 = input.timeframe("3M", "", inline="htf6")
htf6.settings.htf := htf_6
htf6.settings.max_display := input.int(1, "", inline="htf6")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.rgb(76, 175, 80), "Body ", inline="body")
settings.bear_body := input.color(color.rgb(0, 0, 0), "", inline="body")
settings.bull_border := input.color(color.rgb(93, 96, 107), "Borders", inline="borders")
settings.bear_border := input.color(color.rgb(0, 0, 0), "", inline="borders")
settings.bull_wick := input.color(color.rgb(93, 96, 107), "Wick ", inline="wick")
settings.bear_wick := input.color(color.rgb(93, 96, 107), "", inline="wick")
settings.offset := input.int(10, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(4, "Candle Width", minval = 1, maxval = 10)*2
settings.htf_label_show := input.bool(false, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.rgb(0, 0, 0), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.tiny, "", , inline="HTFlabel")
settings.htf_timer_show := input.bool(false, "Remaining time ", inline="timer")
settings.htf_timer_color := input.color(color.rgb(0, 0, 0), "", inline='timer')
settings.htf_timer_size := input.string(size.tiny, "", , inline="timer")
settings.fvg_show := input.bool(true, "Fair Value Gap ", group="Imbalance", inline="fvg")
settings.fvg_color := input.color(color.new(color.gray, 80), "", inline='fvg', group="Imbalance")
settings.vi_show := input.bool(true, "Volume Imbalance", group="Imbalance", inline="vi")
settings.vi_color := input.color(color.new(color.red, 50), "", inline='vi', group="Imbalance")
settings.trace_show := input.bool(false, "Trace lines", group="trace")
settings.trace_o_color := input.color(color.rgb(0, 0, 0), "Open ", inline='1', group="trace")
settings.trace_o_style := input.string('····', '', options = , inline='1', group="trace")
settings.trace_o_size := input.int(1, '', options = , inline='1', group="trace")
settings.trace_c_color := input.color(color.rgb(0, 0, 0), "Close ", inline='2', group="trace")
settings.trace_c_style := input.string('····', '', options = , inline='2', group="trace")
settings.trace_c_size := input.int(1, '', options = , inline='2', group="trace")
settings.trace_h_color := input.color(color.rgb(0, 0, 0), "High ", inline='3', group="trace")
settings.trace_h_style := input.string('····', '', options = , inline='3', group="trace")
settings.trace_h_size := input.int(1, '', options = , inline='3', group="trace")
settings.trace_l_color := input.color(color.rgb(0, 0, 0), "Low ", inline='4', group="trace")
settings.trace_l_style := input.string('····', '', options = , inline='4', group="trace")
settings.trace_l_size := input.int(1, '', options = , inline='4', group="trace")
settings.trace_anchor := input.string("First Timeframe", "Anchor to", options= , group="trace")
settings.label_show := input.bool(false, "Price Label ", inline="label")
settings.label_color := input.color(color.rgb(0, 0, 0), "", inline='label')
settings.label_size := input.string(size.small, "", , inline="label")
//+------------------------------------------------------------------------------------------------------------+//
//+--- Variables ---+//
//+------------------------------------------------------------------------------------------------------------+//
Helper helper = Helper.new()
var Trace trace = Trace.new()
color color_transparent = #ffffff00
//+------------------------------------------------------------------------------------------------------------+//
//+--- Internal Functions ---+//
//+------------------------------------------------------------------------------------------------------------+//
method LineStyle(Helper helper, string style) =>
helper.name := style
out = switch style
'----' => line.style_dashed
'····' => line.style_dotted
=> line.style_solid
method ValidTimeframe(Helper helper, string HTF) =>
helper.name := HTF
if timeframe.in_seconds(HTF) >= timeframe.in_seconds("D") and timeframe.in_seconds(HTF) > timeframe.in_seconds()
true
else
n1 = timeframe.in_seconds()
n2 = timeframe.in_seconds(HTF)
n3 = n1 % n2
(n1 < n2 and math.round(n2/n1) == n2/n1)
method RemainingTime(Helper helper, string HTF) =>
helper.name := HTF
if barstate.isrealtime
timeRemaining = (time_close(HTF) - timenow)/1000
days = math.floor(timeRemaining / 86400)
hours = math.floor((timeRemaining - (days*86400)) / 3600)
minutes = math.floor((timeRemaining - (days*86400) - (hours*3600))/ 60)
seconds = math.floor(timeRemaining - (days*86400) - (hours*3600) - (minutes*60))
r = str.tostring(seconds, "00")
if minutes > 0 or hours > 0 or days > 0
r := str.tostring(minutes, "00") + ":" + r
if hours > 0 or days > 0
r := str.tostring(hours, "00") + ":" + r
if days > 0
r := str.tostring(days) + "D " + r
r
else
"n/a"
method HTFName(Helper helper, string HTF) =>
helper.name := "HTFName"
formatted = HTF
seconds = timeframe.in_seconds(HTF)
if seconds < 60
formatted := str.tostring(seconds) + "s"
else if (seconds / 60) < 60
formatted := str.tostring((seconds/60)) + "m"
else if (seconds/60/60) < 24
formatted := str.tostring((seconds/60/60)) + "H"
formatted
method HTFEnabled(Helper helper) =>
helper.name := "HTFEnabled"
int enabled =0
enabled += htf1.settings.show ? 1 : 0
enabled += htf2.settings.show ? 1 : 0
enabled += htf3.settings.show ? 1 : 0
enabled += htf4.settings.show ? 1 : 0
enabled += htf5.settings.show ? 1 : 0
enabled += htf6.settings.show ? 1 : 0
int last = math.min(enabled, settings.max_sets)
last
method CandleSetHigh(Helper helper, Candle candles, float h) =>
helper.name := "CandlesSetHigh"
float _h = h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > _h
_h := c.h
_h
method CandlesHigh(Helper helper, Candle candles) =>
helper.name := "CandlesHigh"
h = 0.0
int cnt = 0
int last = helper.HTFEnabled()
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
h := helper.CandleSetHigh(htf1.candles, h)
cnt += 1
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf2.candles, h)
cnt +=1
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf3.candles, h)
cnt += 1
if htf4.settings.show and helper.ValidTimeframe(htf4.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf4.candles, h)
cnt += 1
if htf5.settings.show and helper.ValidTimeframe(htf5.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf5.candles, h)
cnt += 1
if htf6.settings.show and helper.ValidTimeframe(htf6.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf6.candles, h)
h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > h
h := c.h
h
method Reorder(CandleSet candleSet, int offset) =>
size = candleSet.candles.size()
if size > 0
for i = size-1 to 0
Candle candle = candleSet.candles.get(i)
t_buffer = offset + ((settings.width+settings.buffer)*(size-i-1))
box.set_left(candle.body, bar_index + t_buffer)
box.set_right(candle.body, bar_index + settings.width + t_buffer)
line.set_x1(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x1(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
candleSet
top = helper.CandlesHigh(candleSet.candles)
left = bar_index + offset + ((settings.width+settings.buffer)*(size-1))/2
if settings.htf_label_show
var label l = candleSet.tfName
string lbl = helper.HTFName(candleSet.settings.htf)
if settings.htf_timer_show
lbl += " "
if not na(l)
label.set_xy(l, left, top)
else
l := label.new(left, top, lbl, color=color_transparent, textcolor = settings.htf_label_color, style=label.style_label_down, size = settings.htf_label_size)
if settings.htf_timer_show
var label t = candleSet.tfTimer
string tmr = "(" + helper.RemainingTime(candleSet.settings.htf) + ")"
if not na(t)
label.set_xy(t, left, top)
else
t := label.new(left, top, tmr, color=color_transparent, textcolor = settings.htf_timer_color, style=label.style_label_down, size = settings.htf_timer_size)
candleSet
method FindImbalance(CandleSet candleSet) =>
if barstate.isrealtime or barstate.islast
if candleSet.imbalances.size() > 0
for i = candleSet.imbalances.size()-1 to 0
Imbalance del = candleSet.imbalances.get(i)
box.delete(del.b)
candleSet.imbalances.pop()
if candleSet.candles.size() > 3 and settings.fvg_show
for i = 1 to candleSet.candles.size() -3
candle1 = candleSet.candles.get(i)
candle2 = candleSet.candles.get(i+2)
candle3 = candleSet.candles.get(i+1)
if (candle1.l > candle2.h and math.min(candle1.o, candle1.c) > math.max(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_left(candle2.body), candle2.h, box.get_right(candle1.body), candle1.l, bgcolor=settings.fvg_color, border_color = color_transparent, xloc=xloc.bar_index)
candleSet.imbalances.push(imb)
if (candle1.h < candle2.l and math.max(candle1.o, candle1.c) < math.min(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_right(candle1.body), candle1.h, box.get_left(candle2.body), candle2.l, bgcolor=settings.fvg_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
box temp = box.copy(candle3.body)
box.delete(candle3.body)
candle3.body := temp
if candleSet.candles.size() > 2 and settings.vi_show
for i = 1 to candleSet.candles.size() -2
candle1 = candleSet.candles.get(i)
candle2 = candleSet.candles.get(i+1)
if (candle1.l < candle2.h and math.min(candle1.o, candle1.c) > math.max(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_left(candle2.body), math.min(candle1.o, candle1.c), box.get_right(candle1.body), math.max(candle2.o, candle2.c), bgcolor=settings.vi_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
if (candle1.h > candle2.l and math.max(candle1.o, candle1.c) < math.min(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_right(candle1.body), math.min(candle2.o, candle2.c), box.get_left(candle2.body), math.max(candle1.o, candle1.c), bgcolor=settings.vi_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
candleSet
method Monitor(CandleSet candleSet) =>
HTFBarTime = time(candleSet.settings.htf)
isNewHTFCandle = ta.change(HTFBarTime)
if isNewHTFCandle
Candle candle = Candle.new()
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.o_idx := bar_index
candle.c_idx := bar_index
candle.h_idx := bar_index
candle.l_idx := bar_index
bull = candle.c > candle.o
candle.body := box.new(bar_index, math.max(candle.o, candle.c), bar_index+2, math.min(candle.o, candle.c), bull ? settings.bull_border : settings.bear_border, 1, bgcolor = bull ? settings.bull_body : settings.bear_body)
candle.wick_up := line.new(bar_index+1, candle.h, bar_index, math.max(candle.o, candle.c), color=bull ? settings.bull_wick : settings.bear_wick)
candle.wick_down := line.new(bar_index+1, math.min(candle.o, candle.c), bar_index, candle.l, color=bull ? settings.bull_wick : settings.bear_wick)
candleSet.candles.unshift(candle)
if candleSet.candles.size() > candleSet.settings.max_display
Candle delCandle = array.pop(candleSet.candles)
box.delete(delCandle.body)
line.delete(delCandle.wick_up)
line.delete(delCandle.wick_down)
candleSet
method Update(CandleSet candleSet, int offset, bool showTrace) =>
if candleSet.candles.size() > 0
Candle candle = candleSet.candles.first()
candle.h_idx := high > candle.h ? bar_index : candle.h_idx
candle.h := high > candle.h ? high : candle.h
candle.l_idx := low < candle.l ? bar_index : candle.l_idx
candle.l := low < candle.l ? low : candle.l
candle.c := close
candle.c_idx := bar_index
bull = candle.c > candle.o
box.set_top(candle.body, candle.o)
box.set_bottom(candle.body, candle.c)
box.set_bgcolor(candle.body, bull ? settings.bull_body : settings.bear_body)
box.set_border_color(candle.body, bull ? settings.bull_border : settings.bear_border)
line.set_color(candle.wick_up, bull ? settings.bull_wick : settings.bear_wick)
line.set_color(candle.wick_down, bull ? settings.bull_wick : settings.bear_wick)
line.set_y1(candle.wick_up, candle.h)
line.set_y2(candle.wick_up, math.max(candle.o, candle.c))
line.set_y1(candle.wick_down, candle.l)
line.set_y2(candle.wick_down, math.min(candle.o, candle.c))
if barstate.isrealtime or barstate.islast
candleSet.Reorder(offset)
if settings.trace_show and showTrace
if bar_index - candle.o_idx < 5000
if na(trace.o)
trace.o := line.new(candle.o_idx, candle.o, box.get_left(candle.body), candle.o, xloc= xloc.bar_index, color=settings.trace_o_color, style= helper.LineStyle(settings.trace_o_style), width=settings.trace_o_size)
else
line.set_xy1(trace.o, candle.o_idx, candle.o)
line.set_xy2(trace.o, box.get_left(candle.body), candle.o)
if settings.label_show
if na(trace.o_l)
trace.o_l := label.new(box.get_right(candle.body), candle.o, str.tostring(candle.o), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.o_l, box.get_right(candle.body), candle.o)
label.set_text(trace.o_l, str.tostring(candle.o))
if bar_index - candle.c_idx < 5000
if na(trace.c)
trace.c := line.new(candle.c_idx, candle.c, box.get_left(candle.body), candle.c, xloc= xloc.bar_index, color=settings.trace_c_color, style=helper.LineStyle(settings.trace_c_style), width=settings.trace_c_size)
else
line.set_xy1(trace.c, candle.c_idx, candle.c)
line.set_xy2(trace.c, box.get_left(candle.body), candle.c)
if settings.label_show
if na(trace.c_l)
trace.c_l := label.new(box.get_right(candle.body), candle.c, str.tostring(candle.c), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.c_l, box.get_right(candle.body), candle.c)
label.set_text(trace.c_l, str.tostring(candle.c))
if bar_index - candle.h_idx < 5000
if na(trace.h)
trace.h := line.new(candle.h_idx, candle.h, line.get_x1(candle.wick_up), candle.h, xloc= xloc.bar_index, color=settings.trace_h_color, style=helper.LineStyle(settings.trace_h_style), width=settings.trace_h_size)
else
line.set_xy1(trace.h, candle.h_idx, candle.h)
line.set_xy2(trace.h, line.get_x1(candle.wick_up), candle.h)
if settings.label_show
if na(trace.h_l)
trace.h_l := label.new(box.get_right(candle.body), candle.h, str.tostring(candle.h), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.h_l, box.get_right(candle.body), candle.h)
label.set_text(trace.h_l, str.tostring(candle.o))
if bar_index - candle.l_idx < 5000
if na(trace.l)
trace.l := line.new(candle.l_idx, candle.l, line.get_x1(candle.wick_down), candle.l, xloc= xloc.bar_index, color=settings.trace_l_color, style=helper.LineStyle(settings.trace_l_style), width=settings.trace_l_size)
else
line.set_xy1(trace.l, candle.l_idx, candle.l)
line.set_xy2(trace.l, line.get_x1(candle.wick_down), candle.l)
if settings.label_show
if na(trace.l_l)
trace.l_l := label.new(box.get_right(candle.body), candle.l, str.tostring(candle.l), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.l_l, box.get_right(candle.body), candle.l)
label.set_text(trace.l_l, str.tostring(candle.o))
candleSet
int cnt = 0
int last = helper.HTFEnabled()
int offset = settings.offset
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
bool showTrace = false
if settings.trace_anchor == "First Timeframe"
showTrace := true
if settings.trace_anchor == "Last Timeframe" and settings.max_sets == 1
showTrace := true
htf1.Monitor().Update(offset, showTrace).FindImbalance()
cnt +=1
offset += cnt > 0 ? (htf1.candles.size() * settings.width) + (htf1.candles.size() > 0 ? htf1.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf2.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf2.candles.size() * settings.width) + (htf2.candles.size() > 0 ? htf2.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf3.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf3.candles.size() * settings.width) + (htf3.candles.size() > 0 ? htf3.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf4.settings.show and helper.ValidTimeframe(htf4.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf4.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf4.candles.size() * settings.width) + (htf4.candles.size() > 0 ? htf4.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf5.settings.show and helper.ValidTimeframe(htf5.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf5.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf5.candles.size() * settings.width) + (htf5.candles.size() > 0 ? htf5.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf6.settings.show and helper.ValidTimeframe(htf6.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe"
showTrace := true
htf6.Monitor().Update(offset, showTrace).FindImbalance()
//------------------------------------------------------------------------------------------------//
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ©Mutharasan12
//@version=5
//indicator("Notes, Watermark",overlay = true)
// STICKY NOTES #BEGIN --------------------------------------------------------------------------------------------------------------------------------------------------------//
var StickyNote_settings = "STICKY NOTES --------------------------------------------------"
showStickyNotes = input.bool(false, "Show Sticky Notes?", group = StickyNote_settings)
if showStickyNotes
stickynote01 = input.text_area("Your Note Here","NOTES",group = StickyNote_settings)
tl1 = input.string("top", title = "Sticky Note Position (Vertical)", options = , group = StickyNote_settings)
tl2 = input.string("right", title = "Sticky Note Position (Horizontal)", options = , group = StickyNote_settings)
font_size = input.string("Normal", title = "Sticky Note Text Size", options = , group = StickyNote_settings)
font_type = input.string("Default", title = "Font Type", options = , group = StickyNote_settings)
font_color = input.color(color.rgb(0,0,0,0), title = "Note Color", inline = 'nc', group = StickyNote_settings)
note_color = input.color(color (color.rgb(0,0,0,100)), title = "Note Background", inline='nc', group = StickyNote_settings)
selected_font = font_type == "Default" ? font.family_default : font.family_monospace
selected_size = font_size == "Auto" ? size.auto : font_size == "Huge" ? size.huge : font_size == "Large" ? size.large : font_size == "Normal" ? size.normal : font_size == "Small" ? size.small : font_size == "Tiny" ? size.tiny : na
var table t1 = table.new(tl1 + "_" + tl2, 1, 10)
if barstate.islast
if not na(stickynote01) and stickynote01 != ""
table.cell(t1,0,0, text = stickynote01 , bgcolor = note_color, text_color = font_color, text_halign = text.align_left, text_size = selected_size, text_font_family = selected_font)
// STICKY NOTES #END ----------------------------------------------------------------------------------------------------------------------------------------------------------//
// WATERMARK #BEGIN --
XAUUSD 4H Candle Close Vertical Lines + Labels (debug)//@version=5
indicator("XAUUSD 4H Candle Close Vertical Lines + Labels (debug)", overlay=true)
// Detect when a new 4H candle closes
new_4h_candle = ta.change(time("240"))
// Debug: show tiny shape when detection happens (remove later if not needed)
plotshape(new_4h_candle, title="4H close detected", style=shape.triangleup, location=location.belowbar, size=size.tiny)
// When a new 4H candle closes, draw a vertical dotted blue line and a label
if new_4h_candle
// vertical line at current bar_index
line.new(
x1=bar_index,
y1=na,
x2=bar_index,
y2=na,
xloc=xloc.bar_index,
extend=extend.both,
color=color.new(color.blue, 0),
style=line.style_dotted,
width=1)
// label at the low of the bar (adjust y if you want it elsewhere)
label.new(
x=bar_index,
y=low,
text="4H Close " + str.format("{0,time,HH:mm}", time),
xloc=xloc.bar_index,
style=label.style_label_down,
color=color.new(color.blue, 85),
textcolor=color.white,
size=size.tiny)
SMA25 vs SMA150 – Reentry nur bei Gap-Expansion version 1📈 Strategy: SMA25 vs. SMA150 – Reentry with Gap Expansion
This trend-following strategy trades long positions only during strong uptrends.
It combines mid-term trend confirmation (SMA150) with short-term momentum (SMA25), and includes strict entry, reentry, and exit conditions to capture sustained bullish phases while cutting weak setups early.
🟢 Entry Rules
A long position is opened only if all of the following conditions are met:
Trend filter: The closing price is above SMA150 → confirms an uptrend.
Bullish candle: Current candle closes higher than it opens.
SMA range: SMA25 is 8% to 60% above SMA150.
Momentum slope: SMA25 has increased more strongly than SMA150 over the last 5 candles and is rising.
Trend confirmation: SMA25 has remained above SMA150 for at least 5 candles.
Price distance: The close is at least 0.5% above SMA25.
Stability: The previous two candles also closed above SMA25.
Short-term breakout: Current close is higher than the last 3 closes.
Reentry condition: Allowed only after 20 candles since the last exit and only if a gap expansion occurs above the previous high.
🔴 Exit Rules
A trade is closed as soon as any of the following conditions is triggered:
Dynamic trailing exit:
Close falls 3% below the highest SMA25 value since entry.
Hard stop-loss:
The low of the candle falls 5% or more below the entry price (intrabar trigger).
Early weakness filter:
If any of the first 3 candles after entry closes below the entry price, the trade is exited immediately.
⚙️ Additional Details
Long trades only (no shorts)
No pyramiding – only one position open at a time
Chart background color:
Green = position open
Red = no position
This system targets clean, established uptrends, avoids premature entries, and exits quickly when momentum fades.
It’s designed for swing and position traders who prefer systematic, trend-based setups with tight risk control and clear structure.
Time Range HighlighterThis indicator highlights up to two custom time ranges on your chart with fully adjustable settings:
🔧 Features:
Define two separate time sessions
Set custom start and end times (in any time zone)
Choose unique highlight colors and opacity for each session
Toggle each range on or off independently
Timezone input allows syncing sessions to any global market hours (e.g., UTC, Asia/Tehran, New York)
🕒 Example Use Cases:
Highlight market opening hours (e.g. NYSE: 0930–1600)
Track your personal trading hours or peak volatility sessions
Visualize specific algorithm time filters
📌 Usage:
Enter your desired timezone string (e.g., "Asia/Tehran" or "Etc/UTC")
Customize session times like "0930-1200" and "1500-1700"
Adjust colors and visibility to fit your strategy
Ideal for traders who rely on time-based setups or session overlays.
24h Change Shows TF‑independent 24‑hour % change in the status line. The value is computed strictly on fixed 1‑minute data—last confirmed 1m close vs. the 1m close 1,440 minutes earlier—so changing chart timeframes does not affect the result. Updates once per minute; for best parity with an exchange, use the matching symbol/price type (Last vs. Mark/Index) and ensure ≥1,440 minutes of history.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
Market Sessions — VerticalA clean visual guide to global market sessions.
This indicator plots vertical lines at the opening and closing times of the four major forex sessions:
London, New York, Tokyo, and Sydney.
Fully customizable — toggle each session on/off, choose separate colors for open/close, and enable/disable labels.
Supports both Local (auto-DST) and GMT (fixed) modes — switch between realistic market-clock times or the standardized UTC schedule used by most trading resources.
Helps you visually identify session overlaps (e.g., London–New York) where volatility typically increases.
Ideal for forex, indices, and commodities traders who trade around session opens.
Default session times (GMT mode):
Sydney 21:00 – 06:00 GMT
Tokyo 00:00 – 09:00 GMT
London 08:00 – 17:00 GMT
New York 13:00 – 22:00 GMT
Tip: Set Anchor times by → Local (auto-DST) if you want the lines to follow each region’s real-world daylight-saving adjustments automatically.
Clean, lightweight, and built for traders who want precise, minimal clutter — just the key time windows that move the market.
3HH/3LL → Next Bar Inside = Signal (Neon)Detects 3 consecutive Higher Highs or 3 consecutive Lower Lows.
Signals only when the very next candle is an Inside Bar.
Uses your Neon Lime (HH case) and Neon Pink (LL case) colors.
Stockbee 8% 4% 9M + MA CrossoversThis is another version of my Stockbee 9% 4% 9M script, now enhanced with moving average crossovers to highlight trend shifts more effectively.
The crossovers are displayed in the same visual style as the 9 million volume indicator from the original script but use different shapes and forms for better distinction.
All crossover visuals can be customized to your liking—you can adjust their appearance to fit your charting style or preference.
💎 ProfittoPath – Glass HUD//@version=5
indicator("💎 ProfittoPath – Glass HUD", overlay=true)
// === Inputs ===
entryPrice = input.float(0.0, "Entry Price", step=0.01)
qty = input.float(1.0, "Position Size", step=1.0)
isLong = input.bool(true, "Long Trade?")
offsetY = input.int(60, "Vertical Offset (ticks)", step=1)
showPercent = input.bool(true, "Show % Change")
// === Calculations ===
inTrade = entryPrice > 0
priceDiff = inTrade ? (close - entryPrice) * (isLong ? 1 : -1) : na
plUsd = inTrade ? priceDiff * qty : na
plPercent = inTrade ? (priceDiff / entryPrice) * 100 : na
isProfit = inTrade ? (plUsd >= 0) : false
// === Colors ===
gold = color.rgb(255,215,0)
lossRed = color.rgb(255,90,90)
txtColor = isProfit ? gold : lossRed
bgGlass = color.new(color.rgb(15,15,15),85)
// === Entry Line ===
var line entryLine = na
if barstate.isfirst
entryLine := line.new(bar_index, entryPrice, bar_index, entryPrice, extend=extend.both, color=color.new(gold,40), style=line.style_dotted)
if inTrade
line.set_color(entryLine, color.new(gold,40))
else
line.set_color(entryLine, color.new(color.black,100))
// === Panel Label ===
var label pnlLabel = na
if barstate.isfirst
pnlLabel := label.new(bar_index, na, "", style=label.style_label_center, textcolor=txtColor, color=bgGlass, size=size.large)
// === Update ===
if inTrade
string pnlText = "💎 ProfittoPath Glass HUD "
pnlText += "──────────────────────── "
pnlText += "Trade: " + (isLong ? "LONG 📈" : "SHORT 📉") + " "
pnlText += "Entry: " + str.tostring(entryPrice, format.mintick) + " "
pnlText += "Current: " + str.tostring(close, format.mintick) + " "
pnlText += "P/L: " + (isProfit ? "+" : "") + str.tostring(plUsd, format.mintick) + " USD"
if showPercent
pnlText += " (" + str.tostring(plPercent, "#.##") + "%)"
pnlText += " "
pnlText += "──────────────────────── "
pnlText += "Status: " + (isProfit ? "PROFIT ✅" : "LOSS ❌")
label.set_text(pnlLabel, pnlText)
label.set_x(pnlLabel, bar_index)
label.set_y(pnlLabel, entryPrice + offsetY * syminfo.mintick)
label.set_color(pnlLabel, bgGlass)
label.set_textcolor(pnlLabel, txtColor)
else
label.set_text(pnlLabel, "💎 Set Entry Price ↑")
label.set_x(pnlLabel, bar_index)
label.set_y(pnlLabel, close)
label.set_color(pnlLabel, bgGlass)
label.set_textcolor(pnlLabel, gold)
مستويات الاتزان السعري (Equilibrium Price Levels)Equilibrium Price Levels is an educational tool that helps traders quantify “fair value” and key extension zones based on a single reference swing.
The script uses two manual inputs (reference High and Low) to compute a structured set of equilibrium and extension levels, rather than scanning swings automatically. This gives full control over which range the calculations are based on.
Calculated levels include:
• Retracement / equilibrium band from the selected range: 38.2%, 50.0%, 61.8%
• Upside extension targets from the same range: 125%, 1.618, 1.80, 2.50, 3.10, 3.86, 4.236
Features:
• Separate toggles for supports, targets, and reference high/low
• Per-level visibility switches for each extension (e.g., only show 1.618 and 2.50)
• Customizable colors for supports, targets, and reference lines
• Optional labels with configurable size and offset to keep the chart clean
• Multiple line extension modes (left, both sides, or no extension)
Typical use cases:
• Marking an equilibrium zone inside a major swing to watch for reaction or trend continuation
• Building a consistent “price map” of where mean-reversion vs. extension behavior is likely
• Combining with other tools (price action, volume, order blocks, etc.) to refine trade plans
This script is for educational and analytical purposes only and does not constitute financial advice, trade signals, or performance guarantees.
مستويات الاتزان السعري هي أداة تعليمية تساعد المتداول على قياس “السعر العادل” ومناطق التمدد المحتملة اعتمادًا على نطاق سعري واحد يحدده بنفسه.
المؤشر لا يختار القمم والقيعان آليًا، بل يعتمد على إدخال قمّة وقاع مرجعيين يدويًا، مما يعطي تحكمًا كاملًا في النطاق المستخدم في الحسابات.
المؤشر يحسب ما يلي:
• نطاق الاتزان/التراجع من القمة إلى القاع: 38.2%، 50.0%، 61.8%
• أهداف وتمددات سعرية أعلى النطاق: 125%، 1.618، 1.80، 2.50، 3.10، 3.86، 4.236
المزايا:
• مفاتيح تشغيل/إخفاء مستقلة لمستويات الدعم، الأهداف، والقمة/القاع المرجعيين
• إمكانية تفعيل/إلغاء كل هدف بشكل منفصل (مثل إظهار 1.618 و 2.50 فقط)
• تخصيص ألوان خطوط الدعم، الأهداف، وخطوط القمة والقاع
• ملصقات توضيحية اختيارية مع تحكم في حجمها وموقعها على الشارت
• خيارات امتداد للخطوط: لليسار فقط، أو يمين ويسار، أو بدون امتداد
الاستخدامات الشائعة:
• تحديد منطقة الاتزان داخل موجة رئيسية لمراقبة احتمالات الارتداد أو استمرار الاتجاه
• بناء “خريطة سعرية” ثابتة لمناطق التوازن والتمدد على مدى زمني واسع
• دمج المستويات مع أدوات أخرى مثل السلوك السعري أو الحجم أو مناطق التجميع/التصريف لتحسين قرارات الدخول والخروج
هذا السكربت موجه لأغراض تعليمية وتحليلية فقط، ولا يُعتبر نصيحة استثمارية أو توصية بيع/شراء، ولا يضمن أي أداء مستقبلي للأسعار أو النتائج.
BTC Bull/Bear marketThis indicator plots the 350-period Simple Moving Average (SMA) calculated on the Daily ("D") timeframe.
he color of the SMA line is determined by the closing price of the 2-Week ("2W") timeframe.
1. It fetches the 350-day SMA value (`sma350_daily`).
2. It checks where the *last closed* 2-Week candle finished relative to this SMA line.
3. If the 2W candle closed *above* the 350 SMA, the line is colored GREEN.
4. If the 2W candle closed *below* the 350 SMA, the line is colored RED.
This helps to visualize the long-term trend (350 SMA) confirmed by a higher (2W) timeframe bias, using non-repainting logic (`close `) for the color signal.
BullTrader - ParabolicSARFlipSignals(NonRepainting)TP/SL🧠 Purpose & Concept
This indicator refines Wilder’s Parabolic SAR into a simple, non‑repainting alert and visualization system that marks each confirmed trend flip with a clear buy or sell signal.
It also auto‑generates dynamic, ATR‑based Take‑Profit (TP) and Stop‑Loss (SL) levels, keeps them updating with price in real time, and displays the current market bias in an on‑chart table.
The goal: clarity and automation without complexity — see exactly when a new bullish or bearish phase begins, what your current TP/SL targets are, and receive a single clean alert for every new flip.
⚙️ How It Works
1. The built‑in ta.sar() function tracks the Parabolic SAR dots.
2. When a candle closes across the SAR line, a trend‑change is confirmed:
• Price crossing above a SAR dot → Buy Flip (green triangle).
• Price crossing below a SAR dot → Sell Flip (red triangle).
3. On each flip, the indicator calculates dynamic ATR‑based TP / SL targets:
TP = entry ± (ATR × tpMult) and SL = entry ∓ (ATR × slMult)
These values move automatically as the trend develops.
4. A small floating label beside the latest bar shows live‑updated TP / SL numbers.
5. A color‑coded table in the upper‑right corner displays the current trend: Lime = Bullish, Red = Bearish, Yellow = Neutral.
6. Each new flip triggers an easy‑to‑use Buy / Sell alert after the bar closes—no repainting.
🔔 Alerts
Alert Name Triggers When Message
SAR Buy Flip Alert Green triangle (bullish reversal) “BUY Flip — Parabolic SAR on {{ticker}} ({{interval}})”
SAR Sell Flip Alert Red triangle (bearish reversal) “SELL Flip — Parabolic SAR on {{ticker}} ({{interval}})”
📈 Chart Elements
Element Meaning
🟠 Orange cross Standard Parabolic SAR trail.
🟢 / 🔴 Triangles Confirmed buy / sell flips (non‑repainting).
Bright lime/red TP‑SL box Live ATR targets that move with price.
Trend table (top‑right) Instant status of bullish/bearish bias.
✅ Features & Highlights
Non‑repainting — all signals confirm on closed bars.
Visual clarity — single pair of bright triangles for flips.
Dynamic ATR‑based TP / SL values that auto‑trail with trend.
Always‑visible trend summary table.
Two ready‑made alert types (Buy / Sell).
Lightweight and optimized for any timeframe or symbol.
💡 Best Use
Ideal for traders who prefer clean trend‑based entries and volatility‑adaptive exits without signal clutter:
Pair it with your existing strategy or use it standalone for reversal‑based swing and intraday trading.
OTHERS Power-Law Support 2025OTHERS Power-Law Calculation by Robert.
I took the BTC-Power-Law & Decay-Top and applied it to the OTHERS index.
This indicator is very experimental/in an early state.
Disclaimer: This is my own calculation and no investing advice! Use at your own risk.
ADR levels+// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © notprofessorgreen
//@version=5
indicator("ADR levels", shorttitle = 'ADR', overlay=true, max_bars_back=5000, max_lines_count=500)
// Error catching
if (timeframe.in_seconds() >= timeframe.in_seconds('D'))
runtime.error('Timeframe cannot be greater than Daily')
// Inputs
adr_days = input.int(10, title = 'Days', maxval=250, minval = 1)
std_x = input.float(1.0, "Scale Factor")
width = input.int(1, "Line Width")
// ADR line inputs
adr_color = input.color(color.gray, "ADR Color")
adr_style = input.string("solid", "ADR Style", options= )
// Standard deviation inputs
std_dev_0_5 = input.float(0.5, "Std Dev 1 Multiplier", minval=0.1, maxval=5.0)
std_0_5_show = input.bool(true, "Show Std Dev 1", inline="std1")
std_0_5_color = input.color(color.gray, "Std Dev 1 Color", inline="std1")
std_0_5_style = input.string("dotted", "Std Dev 1 Style", options= , inline="std1")
std_dev_1 = input.float(1.0, "Std Dev 2 Multiplier", minval=0.1, maxval=5.0)
std_1_show = input.bool(true, "Show Std Dev 2", inline="std2")
std_1_color = input.color(color.gray, "Std Dev 2 Color", inline="std2")
std_1_style = input.string("dotted", "Std Dev 2 Style", options= , inline="std2")
std_dev_2 = input.float(2.0, "Std Dev 3 Multiplier", minval=0.1, maxval=5.0)
std_2_show = input.bool(true, "Show Std Dev 3", inline="std3")
std_2_color = input.color(color.gray, "Std Dev 3 Color", inline="std3")
std_2_style = input.string("dotted", "Std Dev 3 Style", options= , inline="std3")
// Fibonacci inputs
fib_1_level = input.float(0.3, "Fib Level 1", minval=0, maxval=2.0)
fib_1_show = input.bool(true, "Show Fib 1", inline="fib1")
fib_1_color = input.color(color.blue, "Fib 1 Color", inline="fib1")
fib_1_style = input.string("dashed", "Fib 1 Style", options= , inline="fib1")
fib_2_level = input.float(0.5, "Fib Level 2", minval=0, maxval=2.0)
fib_2_show = input.bool(true, "Show Fib 2", inline="fib2")
fib_2_color = input.color(color.blue, "Fib 2 Color", inline="fib2")
fib_2_style = input.string("dashed", "Fib 2 Style", options= , inline="fib2")
fib_3_level = input.float(0.7, "Fib Level 3", minval=0, maxval=2.0)
fib_3_show = input.bool(true, "Show Fib 3", inline="fib3")
fib_3_color = input.color(color.blue, "Fib 3 Color", inline="fib3")
fib_3_style = input.string("dashed", "Fib 3 Style", options= , inline="fib3")
show_labels = input.bool(true, "Show Labels")
// Stats table inputs
show_stats = input.bool(true, "Show Table")
sample_size = input.bool(true, "Show Sample Sizes")
tbl_loc = input.string('Bottom Right', "Table", options = )
tbl_size = input.string('Tiny', "", options = )
rch_color = input.color(color.rgb(3, 131, 99, 70), "Reached ")
csd_color = input.color(color.rgb(127, 1, 185, 70), "Closed Through ")
// Function to convert style string to line style
get_line_style(string style) =>
switch style
"solid" => line.style_solid
"dashed" => line.style_dashed
"dotted" => line.style_dotted
// Variables
reset = session.islastbar_regular
var float track_highs = 0.00
var float track_lows = 0.00
var float today_adr = 0.00
var adrs = array.new_float(adr_days, 0.00)
var line adr_pos = na
var line adr_neg = na
var line fib_1_pos = na
var line fib_1_neg = na
var line fib_2_pos = na
var line fib_2_neg = na
var line fib_3_pos = na
var line fib_3_neg = na
var line std_0_5_pos = na
var line std_0_5_neg = na
var line std_1_pos = na
var line std_1_neg = na
var line std_2_pos = na
var line std_2_neg = na
var label fib_1_pos_lbl = na
var label fib_1_neg_lbl = na
var label fib_2_pos_lbl = na
var label fib_2_neg_lbl = na
var label fib_3_pos_lbl = na
var label fib_3_neg_lbl = na
var label adr_pos_lbl = na
var label adr_neg_lbl = na
var label std_0_5_pos_lbl = na
var label std_0_5_neg_lbl = na
var label std_1_pos_lbl = na
var label std_1_neg_lbl = na
var label std_2_pos_lbl = na
var label std_2_neg_lbl = na
// ADR calculation
track_highs := reset ? high : math.max(high, track_highs )
track_lows := reset ? low : math.min(low, track_lows )
if reset
array.unshift(adrs, math.round_to_mintick(track_highs - track_lows ))
if array.size(adrs) > adr_days
array.pop(adrs)
today_adr := math.round_to_mintick(array.avg(adrs))
// Delete previous lines and labels
line.delete(adr_pos )
line.delete(adr_neg )
line.delete(fib_1_pos )
line.delete(fib_1_neg )
line.delete(fib_2_pos )
line.delete(fib_2_neg )
line.delete(fib_3_pos )
line.delete(fib_3_neg )
line.delete(std_0_5_pos )
line.delete(std_0_5_neg )
line.delete(std_1_pos )
line.delete(std_1_neg )
line.delete(std_2_pos )
line.delete(std_2_neg )
label.delete(fib_1_pos_lbl )
label.delete(fib_1_neg_lbl )
label.delete(fib_2_pos_lbl )
label.delete(fib_2_neg_lbl )
label.delete(fib_3_pos_lbl )
label.delete(fib_3_neg_lbl )
label.delete(adr_pos_lbl )
label.delete(adr_neg_lbl )
label.delete(std_0_5_pos_lbl )
label.delete(std_0_5_neg_lbl )
label.delete(std_1_pos_lbl )
label.delete(std_1_neg_lbl )
label.delete(std_2_pos_lbl )
label.delete(std_2_neg_lbl )
// Draw ADR lines
adr_pos := line.new(bar_index, open + today_adr, bar_index+50, open + today_adr,
width=width, color=adr_color, style=get_line_style(adr_style))
adr_neg := line.new(bar_index, open - today_adr, bar_index+50, open - today_adr,
width=width, color=adr_color, style=get_line_style(adr_style))
// Draw ADR labels
if show_labels
adr_pos_lbl := label.new(bar_index+50, open + today_adr, "ADR High (" + str.tostring(adr_days) + "D)",
xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.blue, 90), style=label.style_none)
adr_neg_lbl := label.new(bar_index+50, open - today_adr, "ADR Low (" + str.tostring(adr_days) + "D)",
xloc=xloc.bar_index, textalign=text.align_left, textcolor=adr_color, color=color.new(color.red, 90), style=label.style_none)
// Calculate deviations
var float half_dev = na
var float one_dev = na
var float two_dev = na
half_dev := today_adr * std_dev_0_5
one_dev := today_adr * std_dev_1
two_dev := today_adr * std_dev_2
// Draw standard deviation lines (with show/hide options)
if std_0_5_show
std_0_5_pos := line.new(bar_index, (open + today_adr) + half_dev, bar_index+50, (open + today_adr) + half_dev,
width=width, color=std_0_5_color, style=get_line_style(std_0_5_style))
std_0_5_neg := line.new(bar_index, (open - today_adr) - half_dev, bar_index+50, (open - today_adr) - half_dev,
width=width, color=std_0_5_color, style=get_line_style(std_0_5_style))
if show_labels
std_0_5_pos_lbl := label.new(bar_index+50, (open + today_adr) + half_dev, "Std " + str.tostring(std_dev_0_5),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none)
std_0_5_neg_lbl := label.new(bar_index+50, (open - today_adr) - half_dev, "Std -" + str.tostring(std_dev_0_5),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_0_5_color, color=color.new(#000000,100), style=label.style_none)
if std_1_show
std_1_pos := line.new(bar_index, (open + today_adr) + one_dev, bar_index+50, (open + today_adr) + one_dev,
width=width, color=std_1_color, style=get_line_style(std_1_style))
std_1_neg := line.new(bar_index, (open - today_adr) - one_dev, bar_index+50, (open - today_adr) - one_dev,
width=width, color=std_1_color, style=get_line_style(std_1_style))
if show_labels
std_1_pos_lbl := label.new(bar_index+50, (open + today_adr) + one_dev, "Std " + str.tostring(std_dev_1),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none)
std_1_neg_lbl := label.new(bar_index+50, (open - today_adr) - one_dev, "Std -" + str.tostring(std_dev_1),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_1_color, color=color.new(#000000,100), style=label.style_none)
if std_2_show
std_2_pos := line.new(bar_index, (open + today_adr) + two_dev, bar_index+50, (open + today_adr) + two_dev,
width=width, color=std_2_color, style=get_line_style(std_2_style))
std_2_neg := line.new(bar_index, (open - today_adr) - two_dev, bar_index+50, (open - today_adr) - two_dev,
width=width, color=std_2_color, style=get_line_style(std_2_style))
if show_labels
std_2_pos_lbl := label.new(bar_index+50, (open + today_adr) + two_dev, "Std " + str.tostring(std_dev_2),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none)
std_2_neg_lbl := label.new(bar_index+50, (open - today_adr) - two_dev, "Std -" + str.tostring(std_dev_2),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=std_2_color, color=color.new(#000000,100), style=label.style_none)
// Draw Fibonacci lines
if fib_1_show
fib_1_pos := line.new(bar_index, open + today_adr * fib_1_level, bar_index+50, open + today_adr * fib_1_level,
width=width, color=fib_1_color, style=get_line_style(fib_1_style))
fib_1_neg := line.new(bar_index, open - today_adr * fib_1_level, bar_index+50, open - today_adr * fib_1_level,
width=width, color=fib_1_color, style=get_line_style(fib_1_style))
if show_labels
fib_1_pos_lbl := label.new(bar_index+50, open + today_adr * fib_1_level, "Fib " + str.tostring(fib_1_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none)
fib_1_neg_lbl := label.new(bar_index+50, open - today_adr * fib_1_level, "Fib -" + str.tostring(fib_1_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_1_color, color=color.new(#000000,100), style=label.style_none)
if fib_2_show
fib_2_pos := line.new(bar_index, open + today_adr * fib_2_level, bar_index+50, open + today_adr * fib_2_level,
width=width, color=fib_2_color, style=get_line_style(fib_2_style))
fib_2_neg := line.new(bar_index, open - today_adr * fib_2_level, bar_index+50, open - today_adr * fib_2_level,
width=width, color=fib_2_color, style=get_line_style(fib_2_style))
if show_labels
fib_2_pos_lbl := label.new(bar_index+50, open + today_adr * fib_2_level, "Fib " + str.tostring(fib_2_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none)
fib_2_neg_lbl := label.new(bar_index+50, open - today_adr * fib_2_level, "Fib -" + str.tostring(fib_2_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_2_color, color=color.new(#000000,100), style=label.style_none)
if fib_3_show
fib_3_pos := line.new(bar_index, open + today_adr * fib_3_level, bar_index+50, open + today_adr * fib_3_level,
width=width, color=fib_3_color, style=get_line_style(fib_3_style))
fib_3_neg := line.new(bar_index, open - today_adr * fib_3_level, bar_index+50, open - today_adr * fib_3_level,
width=width, color=fib_3_color, style=get_line_style(fib_3_style))
if show_labels
fib_3_pos_lbl := label.new(bar_index+50, open + today_adr * fib_3_level, "Fib " + str.tostring(fib_3_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none)
fib_3_neg_lbl := label.new(bar_index+50, open - today_adr * fib_3_level, "Fib -" + str.tostring(fib_3_level),
xloc=xloc.bar_index, textalign=text.align_left, textcolor=fib_3_color, color=color.new(#000000,100), style=label.style_none)
else
today_adr := today_adr
line.set_x2(adr_pos, bar_index+50)
line.set_x2(adr_neg, bar_index+50)
if show_labels
label.set_x(adr_pos_lbl, bar_index+50)
label.set_x(adr_neg_lbl, bar_index+50)
if std_0_5_show
line.set_x2(std_0_5_pos, bar_index+50)
line.set_x2(std_0_5_neg, bar_index+50)
if show_labels
label.set_x(std_0_5_pos_lbl, bar_index+50)
label.set_x(std_0_5_neg_lbl, bar_index+50)
if std_1_show
line.set_x2(std_1_pos, bar_index+50)
line.set_x2(std_1_neg, bar_index+50)
if show_labels
label.set_x(std_1_pos_lbl, bar_index+50)
label.set_x(std_1_neg_lbl, bar_index+50)
if std_2_show
line.set_x2(std_2_pos, bar_index+50)
line.set_x2(std_2_neg, bar_index+50)
if show_labels
label.set_x(std_2_pos_lbl, bar_index+50)
label.set_x(std_2_neg_lbl, bar_index+50)
if fib_1_show
line.set_x2(fib_1_pos, bar_index+50)
line.set_x2(fib_1_neg, bar_index+50)
if show_labels
label.set_x(fib_1_pos_lbl, bar_index+50)
label.set_x(fib_1_neg_lbl, bar_index+50)
if fib_2_show
line.set_x2(fib_2_pos, bar_index+50)
line.set_x2(fib_2_neg, bar_index+50)
if show_labels
label.set_x(fib_2_pos_lbl, bar_index+50)
label.set_x(fib_2_neg_lbl, bar_index+50)
if fib_3_show
line.set_x2(fib_3_pos, bar_index+50)
line.set_x2(fib_3_neg, bar_index+50)
if show_labels
label.set_x(fib_3_pos_lbl, bar_index+50)
label.set_x(fib_3_neg_lbl, bar_index+50)
// Stats calculation
var float d_hi = high
var float d_lo = low
var float d_open = open
var float d_range = array.new_float()
var float adr_val = na
var float d_adr_hi = na
var float d_adr_lo = na
type adr_stats
int hit_adr_hi = 0
int hit_adr_lo = 0
int hit_adr_both = 0
int thru_adr_hi = 0
int thru_adr_lo = 0
int hit_fib_1_hi = 0
int hit_fib_1_lo = 0
int hit_fib_2_hi = 0
int hit_fib_2_lo = 0
int hit_fib_3_hi = 0
int hit_fib_3_lo = 0
int hit_std_0_5_hi = 0
int hit_std_0_5_lo = 0
int hit_std_1_hi = 0
int hit_std_1_lo = 0
int hit_std_2_hi = 0
int hit_std_2_lo = 0
int d_count = 0
var adr_sun = adr_stats.new()
var adr_mon = adr_stats.new()
var adr_tue = adr_stats.new()
var adr_wed = adr_stats.new()
var adr_thu = adr_stats.new()
var adr_fri = adr_stats.new()
var adr_sat = adr_stats.new()
if timeframe.change("D")
x = adr_mon
dow = dayofweek(time , "America/New_York")
if dow == dayofweek.tuesday
x := adr_tue
else if dow == dayofweek.wednesday
x := adr_wed
else if dow == dayofweek.thursday
x := adr_thu
else if dow == dayofweek.friday
x := adr_fri
else if dow == dayofweek.saturday
x := adr_sat
else if dow == dayofweek.sunday
x := adr_sun
if not na(adr_val)
x.d_count += 1
if d_hi > d_adr_hi
x.hit_adr_hi += 1
if d_lo < d_adr_lo
x.hit_adr_lo += 1
if d_hi > d_adr_hi and d_lo < d_adr_lo
x.hit_adr_both += 1
if close > d_adr_hi
x.thru_adr_hi += 1
if close < d_adr_lo
x.thru_adr_lo += 1
if fib_1_show
if d_hi > d_open + (adr_val * fib_1_level)
x.hit_fib_1_hi += 1
if d_lo < d_open - (adr_val * fib_1_level)
x.hit_fib_1_lo += 1
if fib_2_show
if d_hi > d_open + (adr_val * fib_2_level)
x.hit_fib_2_hi += 1
if d_lo < d_open - (adr_val * fib_2_level)
x.hit_fib_2_lo += 1
if fib_3_show
if d_hi > d_open + (adr_val * fib_3_level)
x.hit_fib_3_hi += 1
if d_lo < d_open - (adr_val * fib_3_level)
x.hit_fib_3_lo += 1
if std_0_5_show
if d_hi > d_adr_hi + (adr_val * std_dev_0_5)
x.hit_std_0_5_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_0_5)
x.hit_std_0_5_lo += 1
if std_1_show
if d_hi > d_adr_hi + (adr_val * std_dev_1)
x.hit_std_1_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_1)
x.hit_std_1_lo += 1
if std_2_show
if d_hi > d_adr_hi + (adr_val * std_dev_2)
x.hit_std_2_hi += 1
if d_lo < d_adr_lo - (adr_val * std_dev_2)
x.hit_std_2_lo += 1
if timeframe.change("D")
d_open := open
array.unshift(d_range, d_hi - d_lo)
if array.size(d_range) > adr_days
array.pop(d_range)
if array.size(d_range) == adr_days
adr_val := array.avg(d_range)
d_adr_hi := open + (adr_val*std_x)/2
d_adr_lo := open - (adr_val*std_x)/2
d_hi := high
d_lo := low
else
d_hi := math.max(high, d_hi)
d_lo := math.min(low, d_lo)
// Table functions
get_table_pos(pos) =>
switch pos
"Bottom Center" => position.bottom_center
"Bottom Left" => position.bottom_left
"Bottom Right" => position.bottom_right
"Middle Center" => position.middle_center
"Middle Left" => position.middle_left
"Middle Right" => position.middle_right
"Top Center" => position.top_center
"Top Left" => position.top_left
"Top Right" => position.top_right
var _loc = get_table_pos(tbl_loc)
get_table_size(size) =>
switch size
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Large' => size.large
'Huge' => size.huge
'Auto' => size.auto
var _size = get_table_size(tbl_size)
fmt_sample(s, float pct, int count) =>
str.format("{0,number,percent}", pct) + (sample_size ? " ("+str.tostring(count)+")" : "")
// Draw table
if barstate.islast and show_stats
var tbl = table.new(_loc, 100, 100, chart.bg_color, chart.fg_color, 2, chart.fg_color, 1)
// Column headers (days + empty first cell)
table.cell(tbl, 0, 0, "Level", text_size = _size)
table.cell(tbl, 1, 0, "Mon", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, 0, "Tue", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, 0, "Wed", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, 0, "Thu", bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, 0, "Fri", bgcolor = rch_color, text_size = _size)
// Row headers and data
var row = 1
table.cell(tbl, 0, row, "ADR High", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_hi / adr_mon.d_count, adr_mon.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_hi / adr_tue.d_count, adr_tue.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_hi / adr_wed.d_count, adr_wed.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_hi / adr_thu.d_count, adr_thu.hit_adr_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_hi / adr_fri.d_count, adr_fri.hit_adr_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR Low", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_adr_lo / adr_mon.d_count, adr_mon.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_adr_lo / adr_tue.d_count, adr_tue.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_adr_lo / adr_wed.d_count, adr_wed.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_adr_lo / adr_thu.d_count, adr_thu.hit_adr_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_adr_lo / adr_fri.d_count, adr_fri.hit_adr_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR High (Close)", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_hi / adr_mon.d_count, adr_mon.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_hi / adr_tue.d_count, adr_tue.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_hi / adr_wed.d_count, adr_wed.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_hi / adr_thu.d_count, adr_thu.thru_adr_hi), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_hi / adr_fri.d_count, adr_fri.thru_adr_hi), bgcolor = csd_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "ADR Low (Close)", text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.thru_adr_lo / adr_mon.d_count, adr_mon.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.thru_adr_lo / adr_tue.d_count, adr_tue.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.thru_adr_lo / adr_wed.d_count, adr_wed.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.thru_adr_lo / adr_thu.d_count, adr_thu.thru_adr_lo), bgcolor = csd_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.thru_adr_lo / adr_fri.d_count, adr_fri.thru_adr_lo), bgcolor = csd_color, text_size = _size)
row := row + 1
if fib_1_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_1_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_hi / adr_mon.d_count, adr_mon.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_hi / adr_tue.d_count, adr_tue.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_hi / adr_wed.d_count, adr_wed.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_hi / adr_thu.d_count, adr_thu.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_hi / adr_fri.d_count, adr_fri.hit_fib_1_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_1_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_1_lo / adr_mon.d_count, adr_mon.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_1_lo / adr_tue.d_count, adr_tue.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_1_lo / adr_wed.d_count, adr_wed.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_1_lo / adr_thu.d_count, adr_thu.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_1_lo / adr_fri.d_count, adr_fri.hit_fib_1_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if fib_2_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_2_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_hi / adr_mon.d_count, adr_mon.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_hi / adr_tue.d_count, adr_tue.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_hi / adr_wed.d_count, adr_wed.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_hi / adr_thu.d_count, adr_thu.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_hi / adr_fri.d_count, adr_fri.hit_fib_2_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_2_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_2_lo / adr_mon.d_count, adr_mon.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_2_lo / adr_tue.d_count, adr_tue.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_2_lo / adr_wed.d_count, adr_wed.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_2_lo / adr_thu.d_count, adr_thu.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_2_lo / adr_fri.d_count, adr_fri.hit_fib_2_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if fib_3_show
table.cell(tbl, 0, row, "Fib " + str.tostring(fib_3_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_hi / adr_mon.d_count, adr_mon.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_hi / adr_tue.d_count, adr_tue.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_hi / adr_wed.d_count, adr_wed.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_hi / adr_thu.d_count, adr_thu.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_hi / adr_fri.d_count, adr_fri.hit_fib_3_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Fib -" + str.tostring(fib_3_level), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_fib_3_lo / adr_mon.d_count, adr_mon.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_fib_3_lo / adr_tue.d_count, adr_tue.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_fib_3_lo / adr_wed.d_count, adr_wed.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_fib_3_lo / adr_thu.d_count, adr_thu.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_fib_3_lo / adr_fri.d_count, adr_fri.hit_fib_3_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_0_5_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_0_5), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_hi / adr_mon.d_count, adr_mon.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_hi / adr_tue.d_count, adr_tue.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_hi / adr_wed.d_count, adr_wed.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_hi / adr_thu.d_count, adr_thu.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_hi / adr_fri.d_count, adr_fri.hit_std_0_5_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_0_5), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_0_5_lo / adr_mon.d_count, adr_mon.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_0_5_lo / adr_tue.d_count, adr_tue.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_0_5_lo / adr_wed.d_count, adr_wed.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_0_5_lo / adr_thu.d_count, adr_thu.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_0_5_lo / adr_fri.d_count, adr_fri.hit_std_0_5_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_1_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_1), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_hi / adr_mon.d_count, adr_mon.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_hi / adr_tue.d_count, adr_tue.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_hi / adr_wed.d_count, adr_wed.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_hi / adr_thu.d_count, adr_thu.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_hi / adr_fri.d_count, adr_fri.hit_std_1_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_1), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_1_lo / adr_mon.d_count, adr_mon.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_1_lo / adr_tue.d_count, adr_tue.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_1_lo / adr_wed.d_count, adr_wed.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_1_lo / adr_thu.d_count, adr_thu.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_1_lo / adr_fri.d_count, adr_fri.hit_std_1_lo), bgcolor = rch_color, text_size = _size)
row := row + 1
if std_2_show
table.cell(tbl, 0, row, "Std " + str.tostring(std_dev_2), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_hi / adr_mon.d_count, adr_mon.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_hi / adr_tue.d_count, adr_tue.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_hi / adr_wed.d_count, adr_wed.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_hi / adr_thu.d_count, adr_thu.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_hi / adr_fri.d_count, adr_fri.hit_std_2_hi), bgcolor = rch_color, text_size = _size)
row := row + 1
table.cell(tbl, 0, row, "Std -" + str.tostring(std_dev_2), text_size = _size)
table.cell(tbl, 1, row, fmt_sample(adr_mon.d_count, adr_mon.hit_std_2_lo / adr_mon.d_count, adr_mon.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 2, row, fmt_sample(adr_tue.d_count, adr_tue.hit_std_2_lo / adr_tue.d_count, adr_tue.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 3, row, fmt_sample(adr_wed.d_count, adr_wed.hit_std_2_lo / adr_wed.d_count, adr_wed.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 4, row, fmt_sample(adr_thu.d_count, adr_thu.hit_std_2_lo / adr_thu.d_count, adr_thu.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
table.cell(tbl, 5, row, fmt_sample(adr_fri.d_count, adr_fri.hit_std_2_lo / adr_fri.d_count, adr_fri.hit_std_2_lo), bgcolor = rch_color, text_size = _size)
BTC Power-Law Support 2025BTC Power-Law Calculation by Robert.
Shaded area resembles an uncertainty calculation.
Extrapolated data (in the future) only works in the daily chart.
Disclaimer: This is my own calculation and no investing advice! Use at your own risk.
Relative Strength vs Benchmark SPYRelative Strength vs Benchmark (SPY)
This indicator compares the performance of the charted symbol (stock or ETF) against a benchmark index — by default, SPY (S&P 500). It plots a Relative Strength (RS) ratio line (Symbol / SPY) and its EMA(50) to visualize when the asset is outperforming or underperforming the market.
Key Features
📈 RS Line (blue): Shows how the asset performs relative to SPY.
🟠 EMA(50): Smooths the RS trend to highlight sustained leadership.
🟩 Green background: Symbol is outperforming SPY (RS > EMA).
🟥 Red background: Symbol is underperforming SPY (RS < EMA).
🔔 Alerts: Automatic notifications when RS crosses above/below its EMA — signaling new leadership or weakness.
How to Use
Apply to any stock or ETF chart.
Keep benchmark = SPY, or switch to another index (e.g., QQQ, IWM, XLK).
Watch for RS crossovers and trends:
Rising RS → money flowing into the asset.
Falling RS → rotation away from the asset.
Perfect for sector rotation, ETF comparison, and momentum analysis workflows.
Alpha Trader University - Average Session SolatilityBast Indictor
You will need this indicator in your daily life, use it properly and make money.
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
5m Hammer Detector Pro (Clean View)//@version=5
indicator("5m Hammer Detector Pro (Clean View)", overlay=true)
// ===== Inputs =====
tf_detect = input.timeframe("5", "Detection timeframe (keep 5 for 5-min)")
min_lower_to_body = input.float(2.0, "Min lower-wick / body ratio", step=0.1)
max_upper_to_body = input.float(0.5, "Max upper-wick / body ratio", step=0.1)
max_body_to_range = input.float(0.30, "Max body / total-range ratio", step=0.01)
min_lower_to_range = input.float(0.45, "Min lower-wick / total-range ratio", step=0.01)
use_bullish_only = input.bool(true, "Only bullish hammer (close > open)?")
vol_mult = input.float(1.5, "Volume threshold multiplier (x avg volume)", step=0.1)
confirm_next_candle = input.bool(true, "Require next bullish candle for confirmation?")
// ===== Hammer Logic =====
f_is_hammer(o, h, l, c) =>
body = math.abs(c - o)
lower = math.min(o, c) - l
upper = h - math.max(o, c)
rng = h - l
body := body == 0 ? 0.0000001 : body
rng := rng == 0 ? 0.0000001 : rng
cond1 = (lower / body) >= min_lower_to_body
cond2 = (upper / body) <= max_upper_to_body
cond3 = (body / rng) <= max_body_to_range
cond4 = (lower / rng) >= min_lower_to_range
cond5 = use_bullish_only ? (c > o) : true
cond1 and cond2 and cond3 and cond4 and cond5
// ===== 5-Min Data =====
= request.security(syminfo.tickerid, tf_detect, )
vol_avg = ta.sma(rv, 20)
vol_ok = rv > (vol_avg * vol_mult)
hammer_raw = f_is_hammer(ro, rh, rl, rc)
hammer_with_vol = hammer_raw and vol_ok
= request.security(syminfo.tickerid, tf_detect, [open , high , low , close ])
confirmed = confirm_next_candle ? (hammer_with_vol and rc > ro and nc > rh) : hammer_with_vol
new_candle_5m = ta.change(rc) != 0
hammer_final = confirmed and new_candle_5m
// ===== Plot hammer mark only =====
plotshape(hammer_final, title="Hammer Signal", location=location.belowbar,
style=shape.labelup, text="✅ HAMMER 5m", color=color.new(color.green, 0),
textcolor=color.white, size=size.tiny)
bgcolor(hammer_final ? color.new(color.green, 85) : na)
// ===== Alert =====
alertcondition(hammer_final, title="5m Hammer Confirmed Alert",
message="🔥 {{ticker}} | 5m Confirmed Hammer at {{time}} | Vol OK | Close: {{close}}")
Spectre On-Chain Season (CMC #101–2000, Nov’21/Nov’24 Anchors)Spectre On-Chain Season Index measures the real health of the on-chain market by focusing on the mid-tail of crypto — not Bitcoin, not ETH, not the Top 100.
Instead of tracking hype at the top of the market, this index looks at coins ranked #101–#2000 on CoinMarketCap and compares their current price performance to their cycle highs from:
November 2021 peak
November 2024 peak
