Ker 2021 EMA/SMA這個腳本主要是EMA/SMA的基礎
加上可調動範圍
數字可以調動
但是因為我不是coding人員
所以有些欄位編排不正確
但是使用上沒有什麼問題
如果你有coding的能力
可以聯絡我 幫我補正 謝謝
This script is mainly based on EMA/SMA, with adjustable ranges and parameters.
The values can be modified freely.
Since I’m not a programmer, some of the field formatting may not be perfectly structured.
However, it works fine in actual use.
If you have coding experience and would like to help improve or clean up the code, feel free to contact me. Thank you.
Chỉ báo và chiến lược
Custom 4 EMA [TickDaddy]Custom 4 EMA
Hey everyone! I put together this EMA indicator because I wanted more flexibility than what's built into TradingView. Figured I'd share it in case anyone else finds it useful.
What it does:
Customizable EMA Periods
Change all 4 EMAs to whatever periods you want (I default them to 20/50/100/200 but you do you)
Not stuck with preset values - make it work for your strategy
Toggle EMAs On/Off
Each EMA has its own checkbox
Super handy when you want to hide one without losing your settings
Multi-Timeframe EMAs
This is the big one - you can view higher timeframe EMAs on your current chart
Like if you're day trading on a 15-min chart but want to see where the daily EMAs are
Works with any timeframe: Daily, Weekly, 4-Hour, whatever you need
Helps you respect the bigger picture while trading lower timeframes
Smooth Lines on Multi-Timeframe
Got rid of that annoying zigzag effect when using higher timeframes
You can adjust how smooth you want them (or turn it off)
Clean Setup
All the style stuff (colors, thickness, line style) is in the Style tab where it should be
Input settings are organized and not cluttered
Built this with Pine Script v6. Hope it helps with your trading!
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
Sonic R 89 - NY buy LionLee 079 228 1999//@version=5
indicator("Sonic R 89 - NY SL Custom Fixed", overlay=true, max_lines_count=500)
// --- 0. TÙY CHỈNH THÔNG SỐ ---
group_session = "Cài đặt Phiên Giao Dịch (Giờ New York)"
use_session = input.bool(true, "Chỉ giao dịch theo khung giờ", group=group_session)
session_time = input.session("0800-1200", "Khung giờ NY 1", group=group_session)
session_time2 = input.session("1300-1700", "Khung giờ NY 2", group=group_session)
max_trades_per_session = input.int(1, "Số lệnh tối đa/mỗi khung giờ", minval=1, group=group_session)
group_risk = "Quản lý Rủi ro (Dashboard)"
risk_usd = input.float(100.0, "Số tiền rủi ro mỗi lệnh ($)", minval=1.0, group=group_risk)
group_sl_custom = "Cấu hình Stop Loss (SL)"
sl_mode = input.string("Dragon", "Chế độ SL", options= , group=group_sl_custom)
lookback_x = input.int(5, "Số nến (X) cho Swing SL", minval=1, group=group_sl_custom)
group_htf = "Lọc Đa khung thời gian (MTF)"
htf_res = input.timeframe("30", "Chọn khung HTF", group=group_htf)
group_sonic = "Cấu hình Sonic R"
vol_mult = input.float(1.5, "Đột biến Volume", minval=1.0)
max_waves = input.int(4, "Ưu tiên n nhịp đầu", minval=1)
trade_cd = input.int(5, "Khoảng cách lệnh (nến)", minval=1)
group_tp = "Quản lý SL/TP & Dòng kẻ"
rr_tp1 = input.float(1.0, "TP1 (RR)", step=0.1)
rr_tp2 = input.float(2.0, "TP2 (RR)", step=0.1)
rr_tp3 = input.float(3.0, "TP3 (RR)", step=0.1)
rr_tp4 = input.float(4.0, "TP4 (RR)", step=0.1)
line_len = input.int(15, "Chiều dài dòng kẻ", minval=1)
// --- 1. KIỂM TRA PHIÊN & HTF ---
is_in_sess1 = not na(time(timeframe.period, session_time, "America/New_York"))
is_in_sess2 = not na(time(timeframe.period, session_time2, "America/New_York"))
is_in_session = use_session ? (is_in_sess1 or is_in_sess2) : true
var int trades_count = 0
is_new_session = is_in_session and not is_in_session
if is_new_session
trades_count := 0
htf_open = request.security(syminfo.tickerid, htf_res, open, lookahead=barmerge.lookahead_on)
htf_close = request.security(syminfo.tickerid, htf_res, close, lookahead=barmerge.lookahead_on)
is_htf_trend = htf_close >= htf_open ? 1 : -1
// --- 2. TÍNH TOÁN CHỈ BÁO ---
ema89 = ta.ema(close, 89)
ema34H = ta.ema(high, 34)
ema34L = ta.ema(low, 34)
atr = ta.atr(14)
avgVol = ta.sma(volume, 20)
slope89 = (ema89 - ema89 ) / atr
hasSlope = math.abs(slope89) > 0.12
isSqueezed = math.abs(ta.ema(close, 34) - ema89) < (atr * 0.5)
var int waveCount = 0
if not hasSlope
waveCount := 0
newWave = hasSlope and ((low <= ema34H and close > ema34H) or (high >= ema34L and close < ema34L))
if newWave and not newWave
waveCount := waveCount + 1
// --- 3. LOGIC VÀO LỆNH ---
isMarubozu = math.abs(close - open) / (high - low) > 0.8
highVol = volume > avgVol * vol_mult
buyCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == 1 and
(isMarubozu or highVol) and close > ema34H and low >= ema89 and
(slope89 > 0.1 or isSqueezed ) and close > open
sellCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == -1 and
(isMarubozu or highVol) and close < ema34L and high <= ema89 and
(slope89 < -0.1 or isSqueezed ) and close < open
// --- 4. QUẢN LÝ LỆNH ---
var float last_entry = na
var float last_sl = na
var float last_tp1 = na
var float last_tp2 = na
var float last_tp3 = na
var float last_tp4 = na
var string last_type = "NONE"
var int lastBar = 0
trigger_buy = buyCondition and (bar_index - lastBar > trade_cd)
trigger_sell = sellCondition and (bar_index - lastBar > trade_cd)
// --- 5. TÍNH TOÁN SL & LOT SIZE ---
float contract_size = 1.0
if str.contains(syminfo.ticker, "XAU") or str.contains(syminfo.ticker, "GOLD")
contract_size := 100
// Logic tính SL linh hoạt
float swing_low = ta.lowest(low, lookback_x)
float swing_high = ta.highest(high, lookback_x)
float temp_sl_calc = na
if trigger_buy
temp_sl_calc := (sl_mode == "Dragon") ? ema34L : swing_low
if trigger_sell
temp_sl_calc := (sl_mode == "Dragon") ? ema34H : swing_high
float sl_dist_calc = math.abs(close - temp_sl_calc)
float calc_lots = (sl_dist_calc > 0) ? (risk_usd / (sl_dist_calc * contract_size)) : 0
if (trigger_buy or trigger_sell)
trades_count := trades_count + 1
lastBar := bar_index
last_type := trigger_buy ? "BUY" : "SELL"
last_entry := close
last_sl := temp_sl_calc
float riskAmt = math.abs(last_entry - last_sl)
last_tp1 := trigger_buy ? last_entry + (riskAmt * rr_tp1) : last_entry - (riskAmt * rr_tp1)
last_tp2 := trigger_buy ? last_entry + (riskAmt * rr_tp2) : last_entry - (riskAmt * rr_tp2)
last_tp3 := trigger_buy ? last_entry + (riskAmt * rr_tp3) : last_entry - (riskAmt * rr_tp3)
last_tp4 := trigger_buy ? last_entry + (riskAmt * rr_tp4) : last_entry - (riskAmt * rr_tp4)
// Vẽ dòng kẻ
line.new(bar_index, last_entry, bar_index + line_len, last_entry, color=color.new(color.gray, 50), width=2)
line.new(bar_index, last_sl, bar_index + line_len, last_sl, color=color.red, width=2, style=line.style_dashed)
line.new(bar_index, last_tp1, bar_index + line_len, last_tp1, color=color.green, width=1)
line.new(bar_index, last_tp2, bar_index + line_len, last_tp2, color=color.lime, width=1)
line.new(bar_index, last_tp3, bar_index + line_len, last_tp3, color=color.aqua, width=1)
line.new(bar_index, last_tp4, bar_index + line_len, last_tp4, color=color.blue, width=2)
// KÍCH HOẠT ALERT()
string alert_msg = (trigger_buy ? "BUY " : "SELL ") + syminfo.ticker + " at " + str.tostring(close) + " | SL Mode: " + sl_mode + " | Lot: " + str.tostring(calc_lots, "#.##") + " | SL: " + str.tostring(last_sl, format.mintick)
alert(alert_msg, alert.freq_once_per_bar_close)
// --- 6. CẢNH BÁO CỐ ĐỊNH ---
alertcondition(trigger_buy, title="Sonic R BUY Alert", message="Sonic R BUY Signal Detected")
alertcondition(trigger_sell, title="Sonic R SELL Alert", message="Sonic R SELL Signal Detected")
// --- 7. DASHBOARD & PLOT ---
var table sonic_table = table.new(position.top_right, 2, 10, bgcolor=color.new(color.black, 70), border_width=1, border_color=color.gray)
if barstate.islast
table.cell(sonic_table, 0, 0, "NY SESSION", text_color=color.white), table.cell(sonic_table, 1, 0, last_type, text_color=(last_type == "BUY" ? color.lime : color.red))
table.cell(sonic_table, 0, 1, "SL Mode:", text_color=color.white), table.cell(sonic_table, 1, 1, sl_mode, text_color=color.orange)
table.cell(sonic_table, 0, 2, "Trades this Sess:", text_color=color.white), table.cell(sonic_table, 1, 2, str.tostring(trades_count) + "/" + str.tostring(max_trades_per_session), text_color=color.yellow)
table.cell(sonic_table, 0, 3, "LOT SIZE:", text_color=color.orange), table.cell(sonic_table, 1, 3, str.tostring(calc_lots, "#.##"), text_color=color.orange)
table.cell(sonic_table, 0, 4, "Entry:", text_color=color.white), table.cell(sonic_table, 1, 4, str.tostring(last_entry, format.mintick), text_color=color.yellow)
table.cell(sonic_table, 0, 5, "SL:", text_color=color.white), table.cell(sonic_table, 1, 5, str.tostring(last_sl, format.mintick), text_color=color.red)
table.cell(sonic_table, 0, 6, "TP1:", text_color=color.gray), table.cell(sonic_table, 1, 6, str.tostring(last_tp1, format.mintick), text_color=color.green)
table.cell(sonic_table, 0, 7, "TP2:", text_color=color.gray), table.cell(sonic_table, 1, 7, str.tostring(last_tp2, format.mintick), text_color=color.lime)
table.cell(sonic_table, 0, 8, "TP3:", text_color=color.gray), table.cell(sonic_table, 1, 8, str.tostring(last_tp3, format.mintick), text_color=color.aqua)
table.cell(sonic_table, 0, 9, "TP4:", text_color=color.gray), table.cell(sonic_table, 1, 9, str.tostring(last_tp4, format.mintick), text_color=color.blue)
plot(ema89, color=slope89 > 0.1 ? color.lime : slope89 < -0.1 ? color.red : color.gray, linewidth=2)
p_high = plot(ema34H, color=color.new(color.blue, 80))
p_low = plot(ema34L, color=color.new(color.blue, 80))
fill(p_high, p_low, color=color.new(color.blue, 96))
plotshape(trigger_buy, "BUY", shape.triangleup, location.belowbar, color=color.green, size=size.small)
plotshape(trigger_sell, "SELL", shape.triangledown, location.abovebar, color=color.red, size=size.small)
bgcolor(isSqueezed ? color.new(color.yellow, 92) : na)
bgcolor(not is_in_session ? color.new(color.gray, 96) : na)
Global M2 with correlation table, by Colin (No linear - Trader Qno more linear line
Now works perfectly CRYPTOCAP:BTC / $ eth chart
make sure that the time frame is set as daily
SWEEP HTF CANDLE - BY LIONLEE - 0792281999// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © CandelaCharts
//@version=6
indicator("CandelaCharts - HTF Sweeps", shorttitle = "CandelaCharts - HTF Sweeps", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
// # ========================================================================= #
// # | Colors |
// # ========================================================================= #
//#region
// # Core -------------------------------------------------------------------- #
colors_white = color.white
colors_black = color.black
colors_purple = color.purple
colors_red = color.red
colors_gray = color.gray
colors_blue = color.blue
colors_orange = color.orange
colors_green = color.green
color_transparent = #ffffff00
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Inputs |
// # ========================================================================= #
//#region
// # General ----------------------------------------------------------------- #
general_font = input.string("Monospace", "Text ", options = , inline = "1.0", group = "General")
general_text = input.string("Tiny", "", options = , inline = "1.0", group = "General")
general_brand_show = input.bool(false, "Hide Brand", group = "General")
htf_sweeps_tf_1_show = input.bool(true, "HTF I ", inline = "1.0", group = "Timeframes")
htf_sweeps_tf_1_tf = input.timeframe("15", "", inline = "1.0", group = "Timeframes")
htf_sweeps_tf_1_number = input.int(10, "", inline = "1.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_1_map = input.bool(false, "M", inline = "1.0", group = "Timeframes", tooltip = "Map this HTF to LTF")
htf_sweeps_tf_2_show = input.bool(true, "HTF II ", inline = "2.0", group = "Timeframes")
htf_sweeps_tf_2_tf = input.timeframe("60", "", inline = "2.0", group = "Timeframes")
htf_sweeps_tf_2_number = input.int(8, "", inline = "2.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_2_map = input.bool(true, "M", inline = "2.0", group = "Timeframes")
htf_sweeps_tf_3_show = input.bool(true, "HTF III ", inline = "3.0", group = "Timeframes")
htf_sweeps_tf_3_tf = input.timeframe("240", "", inline = "3.0", group = "Timeframes")
htf_sweeps_tf_3_number = input.int(6, "", inline = "3.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_3_map = input.bool(false, "M", inline = "3.0", group = "Timeframes")
htf_sweeps_tf_4_show = input.bool(true, "HTF IV ", inline = "4.0", group = "Timeframes")
htf_sweeps_tf_4_tf = input.timeframe("1D", "", inline = "4.0", group = "Timeframes")
htf_sweeps_tf_4_number = input.int(4, "", inline = "4.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_4_map = input.bool(false, "M", inline = "4.0", group = "Timeframes")
htf_sweeps_tf_5_show = input.bool(true, "HTF V ", inline = "5.0", group = "Timeframes")
htf_sweeps_tf_5_tf = input.timeframe("1W", "", inline = "5.0", group = "Timeframes")
htf_sweeps_tf_5_number = input.int(2, "", inline = "5.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_5_map = input.bool(false, "M", inline = "5.0", group = "Timeframes")
htf_sweeps_tf_6_show = input.bool(false, "HTF VI ", inline = "6.0", group = "Timeframes")
htf_sweeps_tf_6_tf = input.timeframe("1M", "", inline = "6.0", group = "Timeframes")
htf_sweeps_tf_6_number = input.int(1, "", inline = "6.0", group = "Timeframes", minval = 1, maxval = 60)
htf_sweeps_tf_6_map = input.bool(false, "M", inline = "6.0", group = "Timeframes")
htf_sweeps_bull_color = input.color(colors_green, "Coloring ", inline = "1.0", group = "HTF")
htf_sweeps_bear_color = input.color(colors_black, "", inline = "1.0", group = "HTF")
htf_sweeps_wick_border_color = input.color(colors_black, "", inline = "1.0", group = "HTF")
htf_sweeps_offset = input.int(10, "Offset ", minval = 1, inline = "2.0", group = "HTF", tooltip = "The distance from the current chart candles.")
htf_sweeps_space = input.int(1, "Space ", minval = 1, inline = "3.0", maxval = 4, group = "HTF", tooltip = "Space between candles")
htf_sweeps_margin = input.int(10, "Margin ", minval = 1, inline = "4.0", group = "HTF", tooltip = "The distance between HTF group candles.")
htf_sweeps_candle_width = input.string("Small", "Size ", inline = "5.0", group = "HTF", options = , tooltip = "Candle size")
htf_sweeps_label_show = input.bool(true, "Labels ", inline = "6.0", group = "HTF")
htf_sweeps_label_size = input.string("Large", "", inline = "6.0", group = "HTF", options = )
htf_sweeps_label_position = input.string("Top", "", inline = "6.0", group = "HTF", options = , tooltip = " - Size of the label - Position of the label - Text color of the label")
htf_sweeps_label_color = input.color(colors_black, "", inline = "6.0", group = "HTF")
// htf_sweeps_bias_show = input.bool(true, "Bias ", inline = "6.0", group = "HTF")
// htf_sweeps_bias_bull_color = input.color(colors_green, "", inline = "6.0", group = "HTF")
// htf_sweeps_bias_bear_color = input.color(colors_red, "", inline = "6.0", group = "HTF")
// htf_sweeps_time_show = input.bool(true, "Time ", inline = "7.0", group = "HTF")
// htf_sweeps_time_color = input.color(colors_gray, "", inline = "7.0", group = "HTF")
htf_sweeps_ltf_trace_h_l_show = input.bool(true, "H/L Line ", inline = "1.0", group="LTF")
htf_sweeps_ltf_trace_h_l_style = input.string('····', '', options = , inline = "1.0", group="LTF")
htf_sweeps_ltf_trace_h_l_width = input.int(1, '', inline = "1.0", minval = 0, maxval = 4, group="LTF")
htf_sweeps_ltf_trace_h_l_color = input.color(color.new(colors_gray, 50), "", inline = "1.0", group="LTF")
htf_sweeps_ltf_trace_o_c_line_show = input.bool(true, "O/C Line ", inline = "2.0", group = "LTF")
htf_sweeps_ltf_trace_o_c_line_style = input.string('⎯⎯⎯', "", options = , inline = "2.0", group = "LTF")
htf_sweeps_ltf_trace_o_c_line_width = input.int(1, '', inline = "2.0", minval = 0, maxval = 4, group = "LTF")
htf_sweeps_ltf_trace_o_c_line_color = input.color(color.new(colors_gray, 50), "", inline = "2.0", group = "LTF")
htf_sweeps_sweep_show = input.bool(true, "Sweep ", inline = "1.0", group = "Sweep")
htf_sweeps_sweep_ltf_show = input.bool(true, "LTF ", inline = "1.0", group = "Sweep")
htf_sweeps_sweep_htf_show = input.bool(true, "HTF", inline = "1.0", group = "Sweep", tooltip = "Show sweeps. - Show sweeps on LTF. - Show sweeps on HTF.")
htf_sweeps_sweep_line_style = input.string('⎯⎯⎯', " ", options = , inline = "1.1", group = "Sweep")
htf_sweeps_sweep_line_width = input.int(1, '', inline = "1.1", group = "Sweep")
htf_sweeps_sweep_line_color = input.color(colors_black, "", inline = "1.1", group = "Sweep")
htf_sweeps_i_sweep_show = input.bool(false, "I-sweep ", inline = "2.0", group = "Sweep")
htf_sweeps_i_sweep_ltf_show = input.bool(true, "LTF ", inline = "2.0", group = "Sweep")
htf_sweeps_i_sweep_htf_show = input.bool(true, "HTF", inline = "2.0", group = "Sweep", tooltip = "Show invalidated sweeps. - Show invalidated sweeps on LTF. - Show invalidated sweeps on HTF.")
htf_sweeps_i_sweep_line_style = input.string('----', " ", options = , inline = "2.1", group = "Sweep")
htf_sweeps_i_sweep_line_width = input.int(1, '', inline = "2.1", group = "Sweep")
htf_sweeps_i_sweep_line_color = input.color(colors_gray, "", inline = "2.1", group = "Sweep")
htf_sweeps_real_time_sweep_show = input.bool(false, "Real-time", inline = "3.0", group = "Sweep", tooltip = "Control visibility of Real-time Sweeps on LTF and HTF")
// htf_sweeps_dashboard_info_show = input.bool(true, "Panel ", inline = "1.0", group = "Dashboard")
// htf_sweeps_dashboard_info_position = input.string("Bottom Center", "", options = , inline = "1.0", group = "Dashboard", tooltip = "The dashboard will display only the HTF that is mapped to LTF")
htf_sweeps_alerts_sweep_formation = input.bool(false, "Sweep Formation", inline = "1.0", group = "Alerts")
htf_sweeps_alerts_sweep_invalidation = input.bool(false, "Sweep Invalidation", inline = "2.0", group = "Alerts")
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | UDTs |
// # ========================================================================= #
//#region
type UDT_Store
line bin_ln
box bin_box
label bin_lbl
polyline bin_polyline
type UDT_Sweep
string tf
int x1
float y
int x2
bool bull
// sweep is invalidated
bool invalidated = false
// id of htf candle, that invalidated sweep
int invalidated_on
// if sweep is invalidated on candle that forms a sweep, then sweep will be removed
bool removed = false
// mark sweep as formed after last candle that forms a sweep is closed and sweep was not invalidated
bool formed = false
type UDT_HTF_Candle
int num
int index
string tf
// real coordinates of HTF candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
int ot
int ct
// position of HTF candle on chart
int candle_left
int candle_rigth
float candle_top
float candle_bottom
int wick_x
int shift
bool is_closed
array htf_sweeps
array ltf_sweeps
bool bull
bool bull_sweep
bool bear_sweep
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Bin |
// # ========================================================================= #
//#region
var UDT_Store bin = UDT_Store.new(
bin_ln = array.new()
, bin_box = array.new()
, bin_lbl = array.new()
, bin_polyline = array.new()
)
method clean_bin(UDT_Store store) =>
for obj in store.bin_ln
obj.delete()
for obj in store.bin_box
obj.delete()
for obj in store.bin_lbl
obj.delete()
for obj in store.bin_polyline
obj.delete()
store.bin_ln.clear()
store.bin_box.clear()
store.bin_lbl.clear()
store.bin_polyline.clear()
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Functions |
// # ========================================================================= #
//#region
method text_size(string size) =>
out = switch size
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
"Auto" => size.auto
out
method line_style(string style) =>
out = switch style
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
method font_style(string font) =>
out = switch font
'Default' => font.family_default
'Monospace' => font.family_monospace
method candle_size(string size) =>
out = switch size
'Tiny' => 2
'Small' => 4
'Medium' => 6
'Large' => 8
'Huge' => 10
out
method tf_label(string tf) =>
tfl = tf
if tfl == ''
tfl := timeframe.period
out = switch tfl
'1' => '1m'
'2' => '2m'
'3' => '3m'
'5' => '5m'
'10' => '10m'
'15' => '15m'
'20' => '20m'
'30' => '30m'
'45' => '45m'
'60' => '1H'
'90' => '90m'
'120' => '2H'
'180' => '3H'
'240' => '4H'
'480' => '8H'
'540' => '9H'
'720' => '12H'
=> tfl
out
const string default_tz = "America/New_York"
var string htf_sweeps_tz = default_tz
get_short_dayofweek(int d) =>
switch d
dayofweek.monday => 'MON'
dayofweek.tuesday => 'TUE'
dayofweek.wednesday => 'WED'
dayofweek.thursday => 'THU'
dayofweek.friday => 'FRI'
dayofweek.saturday => 'SAT'
dayofweek.sunday => 'SUN'
=> ''
get_week_of_month(int t) =>
y = year(t)
m = month(t)
d = dayofmonth(t)
// Timestamp of first day of the same month
firstDay = timestamp(y, m, 1, 0, 0)
// Day of month index starting from 0 → (0–30)
dayIndex = d - 1
// Week index starting from 0 → (0–4)
weekIndex = int(dayIndex / 7)
// Week number starting from 1 → (1–5)
str.tostring(weekIndex + 1)
get_short_month(int t) =>
var string months = array.from(
"JAN", "FEB", "MAR", "APR", "MAY", "JUN",
"JUL", "AUG", "SEP", "OCT", "NOV", "DEC")
m = month(t)
m >= 1 and m <= array.size(months) ? array.get(months, m - 1) : ""
method candle_time_label(UDT_HTF_Candle candle) =>
string lbl = ""
if timeframe.in_seconds(candle.tf) >= timeframe.in_seconds("12M")
lbl := str.format_time(candle.ot, "yyyy", htf_sweeps_tz)
else if timeframe.in_seconds(candle.tf) >= timeframe.in_seconds("1M")
lbl := get_short_month(candle.ot)
else if timeframe.in_seconds(candle.tf) >= timeframe.in_seconds("1W")
lbl := get_week_of_month(candle.ot)
else if timeframe.in_seconds(candle.tf) >= timeframe.in_seconds("1D")
// Get date components in the selected timezone
y = year(candle.ot, htf_sweeps_tz)
m = month(candle.ot, htf_sweeps_tz)
d = dayofmonth(candle.ot, htf_sweeps_tz)
// Create timestamp at noon for that date in the selected timezone (using noon to avoid timezone edge cases)
date_ts = timestamp(htf_sweeps_tz, y, m, d, 12, 0, 0)
// Add 1 day to account for timezone offset
date_ts := date_ts + 86400000
// Get day of week for that date
lbl := get_short_dayofweek(dayofweek(date_ts, htf_sweeps_tz))
else
lbl := str.format_time(candle.ot, "HH:mm", htf_sweeps_tz)
lbl
// Returns formatted remaining time until current HTF candle close.
// Format: " HH:MM:SS"
get_htf_remaining_time(int from, string tf, string ses, string tz) =>
ct = time_close(tf, ses, na(tz) ? "" : tz)
if na(ct) or na(from)
""
else
// Remaining time in ms (clamped to 0 so it never goes negative)
remaining_ms = math.max(ct - from, 0)
// Total whole seconds remaining
remaining_sec = int(remaining_ms / 1000)
// Unit constants (seconds)
sec_per_min = 60
sec_per_hour = 60 * sec_per_min
sec_per_day = 24 * sec_per_hour
sec_per_month = 30 * sec_per_day
sec_per_year = 365 * sec_per_day
// Break down into Y / M / D / H / M / S (all ints)
years = int(remaining_sec / sec_per_year)
rem_after_years = remaining_sec % sec_per_year
months = int(rem_after_years / sec_per_month)
rem_after_months = rem_after_years % sec_per_month
days = int(rem_after_months / sec_per_day)
rem_after_days = rem_after_months % sec_per_day
hours = int(rem_after_days / sec_per_hour)
rem_after_hours = rem_after_days % sec_per_hour
minutes = int(rem_after_hours / sec_per_min)
seconds = rem_after_hours % sec_per_min
// Only show non-zero units
year_str = years > 0 ? str.format("{0}Y ", str.tostring(years, "#")) : ""
month_str = months > 0 ? str.format("{0}M ", str.tostring(months, "#")) : ""
day_str = days > 0 ? str.format("{0}D ", str.tostring(days, "#")) : ""
time_str = str.format("{0}:{1}:{2}",
str.tostring(hours, "00"),
str.tostring(minutes, "00"),
str.tostring(seconds, "00"))
year_str + month_str + day_str + time_str
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Variables |
// # ========================================================================= #
//#region
var ltf = timeframe.period
var htf_1_candles = array.new()
var htf_2_candles = array.new()
var htf_3_candles = array.new()
var htf_4_candles = array.new()
var htf_5_candles = array.new()
var htf_6_candles = array.new()
var htf_candle_width = candle_size(htf_sweeps_candle_width)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Alert Methods |
// # ========================================================================= #
//#region
method enable_sweep_formed_alert(UDT_Sweep sweep) =>
if not na(sweep) and htf_sweeps_alerts_sweep_formation
if not sweep.invalidated
if sweep.bull
alert(str.format("Bullish HTF Sweep ({0}) formed on {1}. Price level {2, number, currency}", tf_label(sweep.tf), syminfo.ticker, sweep.y))
else
alert(str.format("Bearish HTF Sweep ({0}) formed on {1}. Price level {2, number, currency}", tf_label(sweep.tf), syminfo.ticker, sweep.y))
sweep
method enable_sweep_invalidated_alert(UDT_Sweep sweep) =>
if not na(sweep) and htf_sweeps_alerts_sweep_invalidation
if not sweep.invalidated
if sweep.bull
alert(str.format("Bullish HTF Sweep ({0}) invalidated on {1}. Price level {2, number, currency}", tf_label(sweep.tf), syminfo.ticker, sweep.y))
else
alert(str.format("Bearish HTF Sweep ({0}) invalidated on {1}. Price level {2, number, currency}", tf_label(sweep.tf), syminfo.ticker, sweep.y))
sweep
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | HTF Sweeps |
// # ========================================================================= #
//#region
method session_begins(string tf, string ses, string tz) =>
ta.change(time(tf, ses, na(tz) ? "" : tz))!= 0
method in_session(string tf, string ses, string tz) =>
t = time(tf, ses, na(tz) ? "" : tz)
ct = time_close(tf, ses, na(tz) ? "" : tz)
not na(t) and not na(ct)
method position_ltf_sweeps(array htf_candles) =>
count = htf_candles.size()
if count == 1
candle = htf_candles.get(0)
for in candle.ltf_sweeps
sweep.x2 := candle.c_idx
if count >= 2
candle = htf_candles.get(1)
next_candle = htf_candles.get(0)
for in candle.ltf_sweeps
sweep.x2 := next_candle.c_idx
htf_candles
method position_htf_sweeps(array htf_candles, int buffer) =>
count = htf_candles.size()
if count > 1
c_last = htf_candles.get(0)
for in htf_candles
for in candle.htf_sweeps
sweep.x2 := c_last.candle_rigth + buffer
sweep.x1 := candle.wick_x
htf_candles
method invalidate_sweep(UDT_Sweep sweep, UDT_HTF_Candle c2) =>
c2_bull = c2.bull
// if body of next candle cross sweep
invalidated = not na(sweep.y) and (sweep.bull ? (c2_bull ? sweep.y < c2.c : sweep.y < c2.o) : (c2_bull ? sweep.y > c2.o : sweep.y > c2.c))
invalidated
method invalidate_sweeps(array htf_candles) =>
count = htf_candles.size()
if count > 1
for i = count - 1 to 1
c1 = htf_candles.get(i)
for in c1.ltf_sweeps
if not sweep.removed and na(sweep.invalidated_on)
for k = i - 1 to 0
c2 = htf_candles.get(k)
htf_sweep = c1.htf_sweeps.get(j)
invalidated = sweep.invalidate_sweep(c2)
// invalidation by candle of sweep
if sweep.x2 <= c2.c_idx and sweep.x2 > c2.o_idx
if not c2.is_closed
if not sweep.invalidated and htf_sweeps_real_time_sweep_show
sweep.enable_sweep_invalidated_alert()
sweep.invalidated := invalidated
htf_sweep.invalidated := sweep.invalidated
else
if invalidated and na(sweep.invalidated_on)
sweep.invalidated_on := invalidated ? c2.o_idx : na
htf_sweep.invalidated_on := sweep.invalidated_on
break
else if na(sweep.invalidated_on)
// invalidation by the next candle
if not c2.is_closed
if not sweep.invalidated and htf_sweeps_real_time_sweep_show
sweep.enable_sweep_invalidated_alert()
sweep.invalidated := invalidated
htf_sweep.invalidated := sweep.invalidated
else
if invalidated
if not sweep.invalidated
sweep.enable_sweep_invalidated_alert()
sweep.invalidated := invalidated
sweep.invalidated_on := invalidated ? c2.o_idx : na
htf_sweep.invalidated := sweep.invalidated
htf_sweep.invalidated_on := sweep.invalidated_on
break
// filter removed sweeps
c2 = htf_candles.get(i - 1)
if not sweep.formed and not sweep.removed
if c2.is_closed
htf_sweep = c1.htf_sweeps.get(j)
if sweep.invalidated and not na(sweep.invalidated_on)
// if sweep is invalidated on candle that forms a sweep, then sweep will be removed
if not sweep.formed
sweep.removed := true
htf_sweep.removed := true
else
// mark sweep as formed after last candle that forms a sweep is closed and sweep was not invalidated
if not sweep.formed
sweep.formed := true
htf_sweep.formed := true
htf_candles
detect_sweep(UDT_HTF_Candle c1, UDT_HTF_Candle c2) =>
c1_bull = c1.bull
c2_bull = c2.bull
bull_sweep_in_range = c2_bull ? (c1_bull ? (c2.c < c1.h) : (c2.c < c1.h)) : (c1_bull ? (c2.o < c1.h) : (c2.o < c1.h))
is_bull_sweep = c2.h > c1.h and bull_sweep_in_range
bear_sweep_in_range = c2_bull ? (c1_bull ? (c2.o > c1.l) : (c2.o > c1.l)) : (c1_bull ? (c2.c > c1.l) : (c2.c > c1.l))
is_bear_sweep = c2.l < c1.l and bear_sweep_in_range
if is_bull_sweep
if not c1.bull_sweep
htf_sweep = UDT_Sweep.new(x1=c1.h_idx, x2=c2.c_idx, y=c1.h, bull=true, tf=c1.tf)
ltf_sweep = UDT_Sweep.new(x1=c1.h_idx, x2=c2.c_idx, y=c1.h, bull=true, tf=c1.tf)
c1.htf_sweeps.push(htf_sweep)
c1.ltf_sweeps.push(ltf_sweep)
c1.bull_sweep := true
ltf_sweep.enable_sweep_formed_alert()
else if is_bear_sweep
if not c1.bear_sweep
htf_sweep = UDT_Sweep.new(x1=c1.l_idx, x2=c2.c_idx, y=c1.l, bull=false, tf=c1.tf)
ltf_sweep = UDT_Sweep.new(x1=c1.l_idx, x2=c2.c_idx, y=c1.l, bull=false, tf=c1.tf)
c1.htf_sweeps.push(htf_sweep)
c1.ltf_sweeps.push(ltf_sweep)
c1.bear_sweep := true
ltf_sweep.enable_sweep_formed_alert()
method detect_sweeps(array htf_candles) =>
count = htf_candles.size()
if count > 1
size = math.min(4, count - 1)
for i = size to 1
c1 = htf_candles.get(i)
c2 = htf_candles.get(i - 1)
if not c2.is_closed and c1.htf_sweeps.size() <= 2
detect_sweep(c1, c2)
htf_candles.position_ltf_sweeps()
htf_candles.invalidate_sweeps()
htf_candles
method draw_sweep(UDT_Sweep sweep, bool ltf) =>
if sweep.invalidated
if htf_sweeps_i_sweep_show
if ltf and htf_sweeps_i_sweep_ltf_show or not ltf and htf_sweeps_i_sweep_htf_show
if htf_sweeps_real_time_sweep_show ? true : not sweep.removed and not na(sweep.invalidated_on)
bin.bin_ln.push(line.new(x1=sweep.x1, y1=sweep.y, x2=sweep.x2, y2=sweep.y, xloc = xloc.bar_index, color = htf_sweeps_i_sweep_line_color, style = line_style(htf_sweeps_i_sweep_line_style), width = htf_sweeps_i_sweep_line_width))
else
if htf_sweeps_sweep_show
if ltf and htf_sweeps_sweep_ltf_show or not ltf and htf_sweeps_sweep_htf_show
bin.bin_ln.push(line.new(x1=sweep.x1, y1=sweep.y, x2=sweep.x2, y2=sweep.y, xloc = xloc.bar_index, color = htf_sweeps_sweep_line_color, style = line_style(htf_sweeps_sweep_line_style), width = htf_sweeps_sweep_line_width))
sweep
is_bullish_candle(float c, float o, float h, float l) =>
if c == o
math.abs(o - h) < math.abs(o - l)
else
c > o
method add_htf_candle(array htf_candles, UDT_HTF_Candle candle, int total_candles_number)=>
if not na(candle)
if htf_candles.size() >= total_candles_number
htf_candles.pop()
htf_candles.unshift(candle)
htf_candles
method detect_htf_candle(array htf_candles, string tf, string ltf) =>
UDT_HTF_Candle htf_candle = na
if session_begins(tf, "", na) or htf_candles.size()==0
UDT_HTF_Candle candle = UDT_HTF_Candle.new(tf = tf, htf_sweeps = array.new(), ltf_sweeps = array.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
candle.ot := time
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
if htf_candles.size() > 0
last_candle = htf_candles.get(0)
last_candle.is_closed := true
last_candle.ct := time
htf_candle := candle
else if in_session(tf, "", na) and htf_candles.size()>0
candle = htf_candles.first()
candle.c := close
candle.c_idx := bar_index + 1
candle.ct := time
if high > candle.h
candle.h := high
candle.h_idx := bar_index
if low < candle.l
candle.l := low
candle.l_idx := bar_index
candle.bull := is_bullish_candle(candle.c, candle.o, candle.h, candle.l)
htf_candle
get_htf_candle_shift(int candle_index, int offset, int buffer, int width, int candles_amount)=>
offset + (width + buffer) * (candles_amount - candle_index - 1)
method position_htf_candle(UDT_HTF_Candle candle, int candle_index, int offset, int buffer, int width, int candles_amount) =>
candle.shift := get_htf_candle_shift(candle_index, offset, buffer, width, candles_amount)
candle.candle_left := last_bar_index + candle.shift
candle.candle_rigth := candle.candle_left + width
candle.candle_top := math.max(candle.o, candle.c)
candle.candle_bottom := math.min(candle.o, candle.c)
candle.wick_x := candle.candle_left + width/2
candle
method position_htf_candles(array htf_candles, int shift) =>
candles_amount = htf_candles.size()
for in htf_candles
candle.position_htf_candle(index, shift, htf_sweeps_space, htf_candle_width, candles_amount)
method draw_htf_candle(UDT_HTF_Candle candle) =>
candle_color = candle.bull ? htf_sweeps_bull_color : htf_sweeps_bear_color
bin.bin_box.push(box.new(left=candle.candle_left, top=candle.candle_top, right=candle.candle_rigth, bottom=candle.candle_bottom, border_color = htf_sweeps_wick_border_color, border_width = 1, bgcolor = candle_color))
bin.bin_ln.push(line.new(x1=candle.wick_x, y1=candle.h, x2=candle.wick_x, y2=candle.candle_top, color = htf_sweeps_wick_border_color))
bin.bin_ln.push(line.new(x1=candle.wick_x, y1=candle.candle_bottom, x2=candle.wick_x, y2=candle.l, color = htf_sweeps_wick_border_color))
candle
method draw_htf_label(array htf_candles, string tf) =>
float y_top = na
float y_bottom = na
int x_min = na
int x_max = na
for in htf_candles
switch htf_sweeps_label_position
"Both" =>
y_top := na(y_top) ? candle.h : math.max(y_top, candle.h)
y_bottom := na(y_bottom) ? candle.l : math.min(y_bottom, candle.l)
"Top" =>
y_top := na(y_top) ? candle.h : math.max(y_top, candle.h)
"Bottom" =>
y_bottom := na(y_bottom) ? candle.l : math.min(y_bottom, candle.l)
x_min := na(x_min) ? candle.wick_x : math.min(x_min, candle.wick_x)
x_max := na(x_max) ? candle.wick_x : math.max(x_max, candle.wick_x)
// time label for HTF candle
txt = candle.candle_time_label()
bin.bin_lbl.push(label.new(x = candle.wick_x, y = candle.l, text = txt, tooltip = str.format("HTF candle open {0}", str.format_time(candle.ot, "yyyy-MM-dd HH:mm Z", htf_sweeps_tz)), xloc=xloc.bar_index, color=color_transparent, style = label.style_label_up, textcolor = htf_sweeps_label_color, size=text_size("Tiny"), text_font_family=font_style(general_font)))
x = math.round(math.avg(x_min, x_max))
txt = tf_label(tf)
remaining_ms = get_htf_remaining_time(timenow, tf, "", na)
if not na(y_top)
bin.bin_lbl.push(label.new(x = x, y = y_top, text = txt, tooltip = str.format("HTF {0}", txt), xloc=xloc.bar_index, color=color_transparent, style=label.style_label_down, textcolor=htf_sweeps_label_color, size=text_size(htf_sweeps_label_size), text_font_family=font_style(general_font)))
bin.bin_lbl.push(label.new(x = x, y = y_top, text = remaining_ms, tooltip = str.format("Time remaining until active HTF candle close {0}", remaining_ms), xloc=xloc.bar_index, color=color_transparent, style=label.style_label_down, textcolor=htf_sweeps_label_color, size=text_size("Tiny"), text_font_family=font_style(general_font)))
if not na(y_bottom)
bin.bin_lbl.push(label.new(x = x, y = y_bottom, text = txt, tooltip = str.format("HTF {0}", txt), xloc=xloc.bar_index, color=color_transparent, style=label.style_label_up, textcolor=htf_sweeps_label_color, size=text_size(htf_sweeps_label_size), text_font_family=font_style(general_font)))
// if htf_sweeps_bias_show and htf_candles.size() > 1
// c1 = htf_candles.get(0)
// c2 = htf_candles.get(1)
// bullish = c1.h > c2.h and c1.l > c2.l
// bearish = c1.h < c2.h and c1.l < c2.l
// bin.bin_lbl.push(label.new(x = x, y = na(y_top) ? y_bottom : y_top, text = " ", xloc=xloc.bar_index, color = bullish ? htf_sweeps_bias_bull_color : htf_sweeps_bias_bear_color, style = bullish ? label.style_arrowup : label.style_arrowdown, size = size.normal))
htf_candles
method draw_ltf_open_close_line(UDT_HTF_Candle candle) =>
y1 = math.min(candle.o, candle.c)
y2 = math.max(candle.c, candle.o)
bin.bin_ln.push(line.new(x1=candle.ot, y1=y1, x2=candle.ot, y2=y2, xloc = xloc.bar_time, extend = extend.both, color = htf_sweeps_ltf_trace_o_c_line_color, style = line_style(htf_sweeps_ltf_trace_o_c_line_style), width = htf_sweeps_ltf_trace_o_c_line_width))
candle
method draw_ltf_high_line(UDT_HTF_Candle candle) =>
bin.bin_ln.push(line.new(x1=candle.ot, y1=candle.h, x2=candle.ct, y2=candle.h, xloc = xloc.bar_time, extend = extend.none, color = htf_sweeps_ltf_trace_h_l_color, style = line_style(htf_sweeps_ltf_trace_h_l_style), width = htf_sweeps_ltf_trace_h_l_width))
candle
method draw_ltf_low_line(UDT_HTF_Candle candle) =>
bin.bin_ln.push(line.new(x1=candle.ot, y1=candle.l, x2=candle.ct, y2=candle.l, xloc = xloc.bar_time, extend = extend.none, color = htf_sweeps_ltf_trace_h_l_color, style = line_style(htf_sweeps_ltf_trace_h_l_style), width = htf_sweeps_ltf_trace_h_l_width))
candle
method plot_ltf(array htf_candles) =>
for in htf_candles
if htf_sweeps_ltf_trace_o_c_line_show
candle.draw_ltf_open_close_line()
if htf_sweeps_ltf_trace_h_l_show
candle.draw_ltf_high_line()
candle.draw_ltf_low_line()
for in candle.ltf_sweeps
ltf_sweep.draw_sweep(true)
htf_candles
method plot_htf(array htf_candles, string tf, bool ltf_map) =>
htf_candles.position_htf_sweeps(htf_sweeps_space)
for in htf_candles
candle.draw_htf_candle()
for in candle.htf_sweeps
htf_sweep.draw_sweep(false)
if htf_sweeps_label_show
htf_candles.draw_htf_label(tf)
if ltf_map
htf_candles.plot_ltf()
htf_candles
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Plotting |
// # ========================================================================= #
//#region
bin.clean_bin()
var tf_1_show = htf_sweeps_tf_1_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_1_tf)
var tf_2_show = htf_sweeps_tf_2_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_2_tf)
var tf_3_show = htf_sweeps_tf_3_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_3_tf)
var tf_4_show = htf_sweeps_tf_4_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_4_tf)
var tf_5_show = htf_sweeps_tf_5_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_5_tf)
var tf_6_show = htf_sweeps_tf_6_show and timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(htf_sweeps_tf_6_tf)
if tf_1_show
htf_1_candle = htf_1_candles.detect_htf_candle(htf_sweeps_tf_1_tf, ltf)
htf_1_candles.add_htf_candle(htf_1_candle, htf_sweeps_tf_1_number)
htf_1_candles.detect_sweeps()
if tf_2_show
htf_2_candle = htf_2_candles.detect_htf_candle(htf_sweeps_tf_2_tf, ltf)
htf_2_candles.add_htf_candle(htf_2_candle, htf_sweeps_tf_2_number)
htf_2_candles.detect_sweeps()
if tf_3_show
htf_3_candle = htf_3_candles.detect_htf_candle(htf_sweeps_tf_3_tf, ltf)
htf_3_candles.add_htf_candle(htf_3_candle, htf_sweeps_tf_3_number)
htf_3_candles.detect_sweeps()
if tf_4_show
htf_4_candle = htf_4_candles.detect_htf_candle(htf_sweeps_tf_4_tf, ltf)
htf_4_candles.add_htf_candle(htf_4_candle, htf_sweeps_tf_4_number)
htf_4_candles.detect_sweeps()
if tf_5_show
htf_5_candle = htf_5_candles.detect_htf_candle(htf_sweeps_tf_5_tf, ltf)
htf_5_candles.add_htf_candle(htf_5_candle, htf_sweeps_tf_5_number)
htf_5_candles.detect_sweeps()
if tf_6_show
htf_6_candle = htf_6_candles.detect_htf_candle(htf_sweeps_tf_6_tf, ltf)
htf_6_candles.add_htf_candle(htf_6_candle, htf_sweeps_tf_6_number)
htf_6_candles.detect_sweeps()
if barstate.islast
offset = htf_sweeps_offset
if tf_1_show
htf_1_candles.position_htf_candles(offset)
htf_1_candles.plot_htf(htf_sweeps_tf_1_tf, htf_sweeps_tf_1_map)
offset += get_htf_candle_shift(0, htf_sweeps_margin, htf_sweeps_space, htf_candle_width, htf_sweeps_tf_1_number)
if tf_2_show
htf_2_candles.position_htf_candles(offset)
htf_2_candles.plot_htf(htf_sweeps_tf_2_tf, htf_sweeps_tf_2_map)
offset += get_htf_candle_shift(0, htf_sweeps_margin, htf_sweeps_space, htf_candle_width, htf_sweeps_tf_2_number)
if tf_3_show
htf_3_candles.position_htf_candles(offset)
htf_3_candles.plot_htf(htf_sweeps_tf_3_tf, htf_sweeps_tf_3_map)
offset += get_htf_candle_shift(0, htf_sweeps_margin, htf_sweeps_space, htf_candle_width, htf_sweeps_tf_3_number)
if tf_4_show
htf_4_candles.position_htf_candles(offset)
htf_4_candles.plot_htf(htf_sweeps_tf_4_tf, htf_sweeps_tf_4_map)
offset += get_htf_candle_shift(0, htf_sweeps_margin, htf_sweeps_space, htf_candle_width, htf_sweeps_tf_4_number)
if tf_5_show
htf_5_candles.position_htf_candles(offset)
htf_5_candles.plot_htf(htf_sweeps_tf_5_tf, htf_sweeps_tf_5_map)
offset += get_htf_candle_shift(0, htf_sweeps_margin, htf_sweeps_space, htf_candle_width, htf_sweeps_tf_5_number)
if tf_6_show
htf_6_candles.position_htf_candles(offset)
htf_6_candles.plot_htf(htf_sweeps_tf_6_tf, htf_sweeps_tf_6_map)
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
// # ========================================================================= #
// # | Brand |
// # ========================================================================= #
//#region
if barstate.isfirst and general_brand_show == false
var table brand = table.new(position.bottom_right, 1, 1, bgcolor = chart.bg_color)
table.cell(brand, 0, 0, "© CandelaCharts", text_color = colors_gray, text_halign = text.align_center, text_size = text_size(general_text), text_font_family = font_style(general_font))
//#endregion
// # ========================================================================= #
// # | End |
// # ========================================================================= #
Pair Correlation Oscillator (Overlay)Pair Correlation Oscillator (Overlay)
Overview
This open-source TradingView indicator computes the Pearson correlation coefficient between the chart's instrument (Ticker A) and a user-selected instrument (Ticker B). The correlation is displayed as an oscillator within the range −1..+1:
+1 — perfect positive correlation
0 — no linear correlation
−1 — perfect inverse correlation
Key features
Default window: 500 bars (configurable)
Option to compute correlation on log returns (recommended for comparing different instruments)
Option to exclude the current unfinished bar (use previous completed bars only)
Overlaid line + histogram columns for immediate visual interpretation
Alert examples included (commented out) for high correlation thresholds
Inputs
Ticker 2 — the other instrument to compare against (Ticker 1 is always the chart symbol)
Correlation length — window in bars for the rolling correlation (default 500)
Use log returns — converts price series to log returns before correlation (recommended)
Exclude current bar — shift series by 1 to use only completed bars
How to use
Add the script to your chart and set Ticker 2 to the instrument you want to correlate with the chart symbol.
Choose Use log returns = true for price-to-price comparisons (it removes level bias).
Optionally enable Exclude current bar for more stable signals if you do not want the live unfinished bar affecting results.
Use the line/histogram and label shown on the chart to inspect correlation in real time.
Limitations & notes
Correlation measures linear relationship over the chosen window — non-linear relationships won't be captured.
Very different tickers (e.g., price scales, very low liquidity) may show noisy correlation; use returns and longer windows in such cases.
This indicator is for information/analysis only — not trading advice.
Solar Flares 2025 X & M Class This indicator plots vertical lines on your chart at the exact timestamps of the strongest solar flares recorded in 2025.
X-class flares are shown in light yellow
M-class flares are shown in light blue
All timestamps are based on the maximum intensity time of each flare (default timezone: UTC, adjustable in settings).
Features
Toggle X-class and M-class flares independently
Adjustable line width
Uses precise intraday timestamps (not daily approximations)
Designed as a timing overlay for market cycle research and event clustering
This tool is intended for exploratory and correlation analysis, allowing traders and researchers to visually compare periods of heightened solar activity with market behavior.
Data is hard-coded from the 2025 top solar flare catalog and loads once on script initialization for performance.
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
GAYBEAR SWING Clean v6 mobile-safeHow to Use Sniper Swing — Clean v6 (Mobile-Safe)
Purpose
Sniper Swing — Clean v6 is a trend-aligned swing indicator designed to help traders identify high-probability entries and exits while minimizing noise. It works best in trending or gently rotating markets and is optimized for mobile charting.
A. Chart Setup
Recommended:
Timeframes: 5m–1h for active trading, 4h–Daily for swing trading
Instruments: Liquid equities, indices, and major ETFs
The indicator plots:
SMA 9 (entry trigger)
EMA 20 (trend and momentum)
Optional SMA 50 (higher-timeframe bias)
B. Buy (Long) Signal — How to Act
A BUY label appears when price reclaims short-term structure.
How to trade it:
Wait for price to cross above the SMA 9
Confirm EMA 20 is rising (and above SMA 50 if enabled)
Optional: Confirm price is closing above EMA 20
Enter on:
The close of the signal candle, or
A minor pullback that holds above SMA 9
Best context:
Higher lows
EMA 20 sloping upward
RSI not overbought
C. Sell / Short Signal — How to Act
The indicator offers two sell modes:
1) CrossUnder SMA 9 (Fast Exit)
Use in strong trends or fast markets
Exit longs or enter shorts when price loses SMA 9
2) AccuSell (Structure-Based)
Use in choppy or topping markets
Requires:
Loss of SMA 9 plus
Structural weakness (lower highs/lows, RSI < 50, or EMA 20 turning down)
How to trade it:
Exit longs when sell label appears
Aggressive traders may enter short positions
Conservative traders wait for follow-through
D. RSI Arrows — Context Only
OB arrows warn of potential exhaustion
OS arrows suggest relief or bounce zones
RSI does not trigger trades — it informs patience and risk
E. Position Coloring & State
Green candles = long bias
Purple candles = short bias
Background tint reinforces short exposure
Coloring persists until the opposite signal prints
This helps visually manage trades without staring at labels.
F. Risk Management (User-Defined)
The indicator does not manage stops or targets.
Common approaches:
Stop below recent swing low (longs)
Stop above recent swing high (shorts)
Scale partials near RSI OB/OS zones
G. When Not to Use It
Extremely low-volume chop
News-driven spikes
Range-bound micro consolidations
2. Explain It Like You’re 10 👶📈
Imagine the chart is a road, and the price is a car.
🟢 Green = Go
When the car drives above the yellow line, that means it’s probably going up.
The indicator says:
“Okay, the car looks like it wants to go forward. You can hop in.”
That’s a BUY.
🟣 Purple = Uh-Oh
When the car falls below the yellow line, it might start going down.
The indicator says:
“Careful… the car is slowing down or turning around.”
That’s a SELL.
🔵 Blue Line = Wind Direction
The blue line shows which way the wind is blowing.
If the wind blows up → going up is easier
If the wind blows down → going down is easier
You want to go with the wind, not fight it.
🔺 Red & Green Arrows = Too Fast / Too Slow
Red arrow = “The car is going too fast, might need a break”
Green arrow = “The car is tired, might bounce”
They don’t tell you to go or stop — they just say “pay attention.”
🎨 Colors Help You Remember
Green bars = you’re riding up
Purple bars = you’re riding down
Gray = nothing exciting happening
🚨 Important Rule
This tool doesn’t drive the car for you.
It just says:
“Now might be a good time.”
You still decide when to get in and when to get out
1of1 Trades HDT Clouds (Clouds Only)Created by 1 of 1 Trades
Credit goes to Ripster for the original creation of the MA cloud concept.
📌 Overview
HDT Clouds is a multi-timeframe moving average cloud system designed to visually identify trend direction, momentum strength, and dynamic support/resistance using layered MA clouds only — with no EMA lines displayed for a clean, uncluttered chart.
This version is intentionally stripped down to clouds only, allowing traders to focus purely on structure and bias.
☁️ How It Works
Each cloud is formed by a short-term and long-term moving average pair
Clouds change color based on trend direction:
Bullish when the short MA is above the long MA
Bearish when the short MA is below the long MA
Multiple cloud layers help confirm:
Trend alignment
Pullback zones
Higher-timeframe bias vs lower-timeframe price action
🔧 Customization
Choose EMA or SMA
Enable or disable individual clouds
Adjust MA lengths per cloud
Apply a leading offset for forward-projected structure
🎯 Best Use Cases
Trend confirmation
Identifying pullbacks within strong trends
Filtering trades to align with higher-probability direction
Clean visual bias for discretionary trading
⚠️ Notes
This indicator is designed to assist decision-making, not replace risk management or trading discipline. Always combine with your strategy, confirmations, and proper risk control.
Vegas Triple Tunnel (CGYJ Pro)维加斯三通道（Vegas Tunnel）
指标简介
维加斯三通道是由职业交易员Vegas开发的经典趋势跟踪系统，通过三组EMA均线构建短期、中期、长期三层通道，帮助交易者识别趋势方向和最佳入场时机。
通道结构
通道均线用途短期EMA 21 / 26短线趋势、快速入场中期EMA 144 / 169核心趋势判断、标准入场长期EMA 576 / 676大趋势方向、重要支撑阻力
使用方法
多头排列：短期通道 > 中期通道 > 长期通道，逢回调做多
空头排列：短期通道 < 中期通道 < 长期通道，逢反弹做空
回调入场：价格回踩通道后反弹是最佳入场点
适用范围
适用于所有品种和周期，H1、H4、日线效果最佳。
Vegas Triple Tunnel
Overview
The Vegas Triple Tunnel is a classic trend-following system developed by professional trader Vegas. It uses three pairs of EMA lines to construct short-term, medium-term, and long-term channels, helping traders identify trend direction and optimal entry points.
Channel Structure
Short-term Channel: EMA 21 / 26 - For quick trend identification and short-term entries
Medium-term Channel: EMA 144 / 169 - Core trend judgment and standard entries
Long-term Channel: EMA 576 / 676 - Major trend direction and key support/resistance levels
How to Use
Bullish Alignment: Short > Medium > Long channel, look for pullback entries to go long
Bearish Alignment: Short < Medium < Long channel, look for bounce entries to go short
Best Entry: Price pullback to channel and bounce provides optimal entry opportunities
Applicable Markets
Works on all instruments and timeframes. Best results on H1, H4, and Daily charts.
ST Order Block EngineAdvanced order block detection based on displacement and structural validation.
1of1 Trades HDT Clouds (Clouds Only) Created by 1 of 1 Trades
Credit goes to Ripster for the original creation of the MA cloud concept.
📌 Overview
HDT Clouds is a multi-timeframe moving average cloud system designed to visually identify trend direction, momentum strength, and dynamic support/resistance using layered MA clouds only — with no EMA lines displayed for a clean, uncluttered chart.
This version is intentionally stripped down to clouds only, allowing traders to focus purely on structure and bias.
☁️ How It Works
Each cloud is formed by a short-term and long-term moving average pair
Clouds change color based on trend direction:
Bullish when the short MA is above the long MA
Bearish when the short MA is below the long MA
Multiple cloud layers help confirm:
Trend alignment
Pullback zones
Higher-timeframe bias vs lower-timeframe price action
🔧 Customization
Choose EMA or SMA
Enable or disable individual clouds
Adjust MA lengths per cloud
Apply a leading offset for forward-projected structure
🎯 Best Use Cases
Trend confirmation
Identifying pullbacks within strong trends
Filtering trades to align with higher-probability direction
Clean visual bias for discretionary trading
⚠️ Notes
This indicator is designed to assist decision-making, not replace risk management or trading discipline. Always combine with your strategy, confirmations, and proper risk control.
RSI 55/45 + Volume Momentum Signalsthis is the best for buying when ever movement in the option and these strategy with rsi 55/45 base on sqeeze volume and blocking and when rsi above 55 blast premium and when rsi blow the 45 so blast the premium.
1of1 Trades Expected Ranges (Friday Close Calculator)Expected Ranges (Friday Close Calculator)
Expected Ranges is a simple, non-plotting calculator designed for weekly market preparation.
It uses the most recent Friday’s daily close as the base price and calculates an expected trading range for the upcoming week.
This indicator is intentionally built as a calculator only — it does not draw lines or zones on the chart. This ensures there is no bleed between symbols and allows traders to convert levels into permanent TradingView drawings (horizontal lines and shaded rectangles) that are stored per symbol in their account.
How It Works
Friday Close is automatically detected from the daily chart.
You input a single value for Expected Weekly Move.
The indicator calculates:
Upper Range = Friday Close + Expected Move
Lower Range = Friday Close − Expected Move
Values are displayed in a clean top-right panel for quick reference.
Multi-MA Crossover Alert by Funded RelayMulti-MA Crossover Alert is a simple yet powerful trend-following indicator that combines three moving averages to help identify trend direction and potential reversal points.
What it shows:
• Fast SMA (default 20 periods) – reacts quickly to price changes
• Medium EMA (default 50 periods) – smoother medium-term trend
• Slow SMA (default 200 periods) – long-term trend reference (often called the "death/golden cross" level)
Features:
• Dynamic coloring: Lines turn green when above the slow SMA (bullish bias) or red when below (bearish bias). The slow SMA stays gray for clear reference.
• Background tint: Light green/red background highlights the overall trend based on Fast SMA vs Slow SMA.
• Crossover alerts: Triggers notifications when the Medium EMA crosses above/below the Slow SMA (classic trend change signal).
How to interpret the signals:
• Bullish trend: Fast and Medium lines are green and above the Slow SMA → price is in an uptrend. Look for buying opportunities on pullbacks.
• Bearish trend: Fast and Medium lines are red and below the Slow SMA → price is in a downtrend. Look for selling/short opportunities on rallies.
• Bullish crossover (alert): Medium EMA crosses ABOVE Slow SMA → potential start of stronger uptrend or reversal from downtrend.
• Bearish crossover (alert): Medium EMA crosses BELOW Slow SMA → potential start of stronger downtrend or reversal from uptrend.
How to use it correctly:
1. Add the indicator to your chart via "Indicators" → Community Scripts.
2. Adjust the input lengths to match your timeframe and style:
- Shorter periods (e.g. 10/30/100) → better for intraday / scalping
- Longer periods (e.g. 50/100/200) → better for swing / position trading
3. Enable "Enable Crossover Alerts" if you want TradingView notifications (set alerts via the alert menu: condition = "alert() function calls only").
4. Use in combination with:
- Support/resistance levels
- Volume confirmation
- Other indicators (RSI for overbought/oversold, candlestick patterns)
5. Best on higher timeframes (1H, 4H, Daily) to reduce noise. On very low timeframes, false signals increase — always confirm with price action.
Important notes:
• This is NOT a standalone "buy/sell" system — no indicator is 100% accurate. Always use risk management (stop-loss, position sizing).
• Backtest on your assets/timeframes before live trading.
• Works on all markets: stocks, forex, crypto, futures, etc.
Open-source and free — feel free to modify and improve!
Happy trading!
Session Open/Close Labels - SimpleSimple and Minimal Label that shows Tokyo and EU open and close times on the chart
MAs+Engulfing O caminho das Criptos
This indicator overlays multiple moving averages (EMAs 12/20/50/100/200 and SMA 200) and highlights bullish/bearish engulfing candles by dynamically coloring the candle body. The EMA 12 (gray) provides short-term momentum insight, helping refine entry timing and micro pullbacks.
When a bullish engulfing is detected, the candle appears as a strong dark green; for bearish engulfing, a vivid red. Normal candles retain classic lime/red colors. Visual alerts and bar coloring make price-action patterns instantly visible.
Includes built-in alert conditions for both patterns, supporting both trading automation and education. The tool upgrades trend-following setups by combining macro structure (longer EMAs) with micro momentum (EMA 12) and automatic price-action insights.
Market Internals SPY[TP]# Market Internals SPY Dashboard - TradingView Publication
## 📊 Overview
**Market Internals SPY ** is a comprehensive multi-factor market sentiment dashboard designed specifically for SPY (S&P 500 ETF) traders. This indicator combines four powerful market breadth signals into one easy-to-read interface, helping traders identify high-probability setups and avoid false breakouts.
---
## 🎯 What Makes This Indicator Unique?
Unlike single-indicator tools, this dashboard synthesizes **multiple market internals** to provide confluence-based trading signals:
- **CPR (Central Pivot Range)** - Institutional pivot levels
- **VIX (Volatility Index)** - Fear gauge
- **Put/Call Ratio** - Options sentiment with dynamic crossover alerts
- ** USI:ADD (Advance/Decline Line)** - Market breadth strength
All presented in a clean, real-time dashboard with visual alerts directly on your chart.
---
## 📈 Key Features
### 1. **Static Daily CPR Levels**
- Automatically plots Top CPR, Pivot, and Bottom CPR
- Levels remain fixed throughout the trading day (no repainting)
- **Trend Bias Indicator**: Green = Current Pivot > Previous Pivot (Bullish structure)
### 2. **Put/Call Ratio Crossover System**
- 10-period SMA smoothing for cleaner signals
- **Bullish Signal** (Green background): Put/Call crosses below SMA
- Indicates decreasing hedging activity (bullish)
- **Bearish Signal** (Red background): Put/Call crosses above SMA
- Indicates increasing hedging activity (bearish)
### 3. **Price/Breadth Divergence Detection**
- **Yellow Candles**: Highlight when price and USI:ADD diverge
- Price rising but USI:ADD falling = Potential reversal
- Price falling but USI:ADD rising = Possible bottom
### 4. **Comprehensive Real-Time Dashboard**
A top-right table displaying:
- **CPR Trend Bias**: Bullish/Bearish structure
- **VIX Level**: Current value + directional bias
- **Put/Call Ratio**: Live value + trend arrows
- **AD Line**: Breadth strength with directional indicators
### 5. **Intelligent Bar Coloring**
- **Green bars**: USI:ADD rising (breadth improving)
- **Red bars**: USI:ADD falling (breadth deteriorating)
- **Yellow bars**: Divergence warning (potential reversal)
---
## 🔧 How to Use
### Setup Instructions
1. **Add to Chart**: Apply to SPY on your preferred intraday timeframe (5m, 15m, 30m, 1H)
2. **Configure Symbols** (if needed):
- Default settings work for most platforms
- If "PCC" doesn't load, try: `PCCR`, `INDEX:PCC`, `USI:PCC`, or `CBOE:PCC`
- Ensure you have market internals data access ( USI:ADD , VIX)
### Trading Signals
#### 🟢 **Bullish Confluence** (High-Probability Long Setup)
- CPR Trend = BULLISH
- VIX falling or low (<20)
- Put/Call below SMA (or green background crossover)
- USI:ADD rising (green bars)
- **Entry**: Look for bullish price action at support levels
#### 🔴 **Bearish Confluence** (High-Probability Short Setup)
- CPR Trend = BEARISH
- VIX rising or elevated (>25)
- Put/Call above SMA (or red background crossover)
- USI:ADD falling (red bars)
- **Entry**: Look for bearish rejection at resistance
#### ⚠️ **Divergence Warning**
- Yellow candles indicate mismatch between price and breadth
- Consider profit-taking or reversals when divergence appears at extremes
### Best Practices
- **Multi-Timeframe Confirmation**: Check higher timeframes (4H, Daily) for trend alignment
- **Volume Confirmation**: Combine with volume analysis for stronger signals
- **Risk Management**: Always use stop losses; no indicator is 100% accurate
- **News Awareness**: Be cautious around major economic releases
---
## 📚 Understanding the Components
### CPR (Central Pivot Range)
Traditional floor trader pivot levels calculated from previous day's High, Low, Close:
- **Pivot (PP)** = (High + Low + Close) / 3
- **Top CPR (TC)** = (PP - BC) + PP
- **Bottom CPR (BC)** = (High + Low) / 2
### VIX (Volatility Index)
- **< 15**: Complacency, potential for sudden moves
- **15-20**: Normal conditions
- **20-30**: Elevated uncertainty
- **> 30**: High fear, potential bottoming process
### Put/Call Ratio
- **< 0.7**: Excessive optimism (contrarian bearish)
- **0.7-1.0**: Balanced sentiment
- **> 1.0**: Defensive positioning (contrarian bullish potential)
### USI:ADD (NYSE Advance/Decline)
- **> 0**: More stocks advancing than declining (bullish breadth)
- **< 0**: More stocks declining than advancing (bearish breadth)
- **Extreme readings** (±2000+): Potential exhaustion
---
## ⚙️ Customization Options
### Input Parameters
- **AD Line Symbol**: Default "ADD" (try "ADVN" or "NYSE:ADD" if needed)
- **VIX Symbol**: Default "VIX" (try "CBOE:VIX" if needed)
- **Put/Call Symbol**: Default "PCC" (alternatives listed above)
### Color Scheme
- Blue: CPR levels
- Purple: Pivot point
- Green: Bullish signals/backgrounds
- Red: Bearish signals/backgrounds
- Yellow: Divergence warnings
---
## 💡 Pro Tips
1. **Wait for Confluence**: Don't trade on a single indicator - wait for 3+ signals to align
2. **Use CPR as Dynamic S/R**: Price tends to react at TC and BC levels
3. **Watch the Crossovers**: Put/Call crossovers often precede significant moves
4. **Monitor Divergences**: Yellow candles at key levels are high-value signals
5. **Combine with Price Action**: This tool confirms direction - you still need entry triggers
---
## ⚠️ Limitations & Disclaimers
- Requires **premium data** for USI:ADD and VIX on most platforms
- Best suited for **intraday SPY trading** (may adapt to other indices)
- **Not a standalone system** - use with proper risk management
- Past performance does not guarantee future results
- Always backtest before live trading
---
## 🎓 Example Scenario
**Bullish Setup**:
- 9:45 AM EST: Price pulls back to Bottom CPR
- Dashboard shows: ✅ Bullish CPR Bias, ✅ VIX 16.5 (falling), ✅ Put/Call 0.68 ⬇️ Bull, ✅ USI:ADD +850 ⬆️
- Green background flashes (Put/Call crossunder)
- **Action**: Enter long at BC with stop below TC of previous day
---
## 📊 Ideal Timeframes
- **Primary**: 5-minute, 15-minute (day trading)
- **Secondary**: 30-minute, 1-hour (swing entries)
- **Confirmation**: Daily chart for trend context
---
## 🔄 Updates & Support
This indicator is actively maintained. If you encounter symbol loading issues:
1. Check your data provider includes market internals
2. Try alternative symbols in inputs
3. Ensure you're using a premium TradingView plan (if required)
---
## 📝 Version Information
- **Version**: 5 (Pine Script v5)
- **Type**: Overlay Indicator
- **Author**: tapaspattanaik
- **Category**: Market Internals / Breadth Analysis
---
## 🏆 Final Thoughts
This indicator is designed for **serious traders** who understand that edge comes from confluence, not single signals. By combining institutional pivot levels with real-time market internals, you gain a significant advantage in reading market sentiment and timing entries with precision.
**Remember**: The best trades happen when multiple independent factors align. Use this dashboard to find those moments.
---
## 📌 How to Add This Indicator
1. Open TradingView and navigate to Pine Editor
2. Copy the complete script code
3. Click "Add to Chart"
4. Configure symbols if needed (see Setup Instructions above)
5. Adjust position/colors to your preference
---
**Happy Trading! 📈**
*This indicator is for educational purposes. Always manage risk appropriately and never risk more than you can afford to lose.*
---
### Tags
`#SPY` `#MarketInternals` `#CPR` `#VIX` `#PutCallRatio` `#BreadthAnalysis` `#DayTrading` `#SwingTrading` `#TechnicalAnalysis` `#PivotPoints`
Global Liquidity Index (Major Economies Only)This iteration represents a revised adaptation of QuantitativeAlpha ’s framework for measuring global liquidity. It enables clear visibility into the current state of global liquidity—a foundational driver of risk asset prices.
IBPDA Time Markers Daily OnlyThis indicator plots IBPDA (Interbank Price Delivery Algorithm) time markers based on true bar counts, not calendar days.
Unlike many time-cycle tools that rely on calendar arithmetic, this script calculates 20 / 40 / 60 daily candles, ensuring accuracy across:
market holidays
shortened sessions
exchange-specific trading calendars
It is intentionally restricted to the Daily timeframe, where each bar represents one completed trading session.
🔍 What This Indicator Does
Draws vertical lines at:
−20 / −40 / −60 bars (exact historical daily candles)
+20 / +40 / +60 bars (future projections for planning)
Uses bar index–based logic, not calendar dates
Prevents misuse by enforcing Daily timeframe only
Draws lines once per chart load to avoid clutter and object limits
⚙️ Key Design Choices (Important)
Past markers are exact
Past levels use time , which means “n completed daily sessions ago” — no approximation.
Future markers are projected
Since future bars do not exist yet, forward levels are projected using a configurable day-step. These are meant for time-window awareness, not precision forecasting.
No repainting
All levels are fixed once drawn.
🧠 How to Use (Best Practice)
IBPDA time levels are time magnets, not trade signals.
They work best when combined with:
Higher-timeframe PD arrays (weekly/monthly highs & lows)
Fair Value Gaps (FVGs)
Liquidity pools
Market structure shifts
Watch for price expansion, liquidity events, or displacement occurring near these time markers.
🛑 Limitations (By Design)
Daily timeframe only
Future levels are projections (exchange calendars cannot be predicted perfectly)
This script does not generate buy/sell signals
🎯 Intended Audience
This indicator is designed for:
ICT / SMC traders
Index futures traders (NQ, ES, YM, etc.)
Swing traders and position traders
Traders who respect time as a variable, not just price
🧩 Notes
Best used as a contextual framework, not a standalone strategy
Clean, lightweight, and safe for long-term chart usage
Built with strict Pine Script v5 compatibility and publishing standards
TX Stealth Pro: International EditionTX Stealth Pro is a high-performance, intra-day monitoring terminal specifically designed for index futures traders (optimized for Taiwan Index Futures - TX). This indicator merges a sleek, "Stealth" dashboard UI with critical session-based technical levels, allowing traders to monitor trend direction, volatility, and key liquidity zones without cluttering the price action.
