ICT HTF Candles (macrocircle)Hallo everyone
Indikator ini di buat untuk melihat candle HTF , seperti model po3, setiap alligment timeframe anda membutuhkan penyesuaian candle, menyelaraskan setiap algntment candle.
Indicator
Fractal
MARK Inside Bars**Mother Bar Range — Inside Bar Sequence** is a simple price-action indicator designed to identify and highlight consecutive candles trading within the range of a Mother Bar.
Unlike traditional inside-bar indicators that compare each candle only to the candle immediately before it, this indicator tracks the **original Mother Bar's High and Low**.
Once an Inside Bar forms, the previous candle becomes the Mother Bar. Every following candle is highlighted as long as:
• Its High remains at or below the Mother Bar High
• Its Low remains at or above the Mother Bar Low
This makes it easy to identify extended periods of **price compression and consolidation**, even when there are multiple consecutive candles inside the same Mother Bar range.
The sequence ends when price trades outside the Mother Bar's range.
**Useful for identifying:**
• Inside Bar sequences
• Price compression
• Consolidation ranges
• Mother Bar structures
• Potential expansion/breakout setups
Works on all markets and timeframes.
Indicator
ZENKO Session FVG# ZENKO FVG — Session-Based Fair Value Gap
ZENKO FVG is a clean Fair Value Gap (FVG) indicator designed to help traders identify price imbalances within selected trading sessions while keeping the chart simple and easy to read.
The indicator was developed around the ZENKO trading approach, where Fair Value Gaps are used as potential areas of interest rather than standalone entry signals.
## Core Concept
A Fair Value Gap represents an imbalance created during strong price displacement. These areas may become relevant when price later revisits them as the market searches for liquidity or rebalances inefficient price delivery.
ZENKO FVG automatically detects these imbalances and displays them directly on the chart.
## Key Features
• Automatic Bullish & Bearish FVG Detection
Identifies three-candle Fair Value Gap structures automatically.
• Session-Based Filtering
Allows traders to focus on FVGs formed during selected trading sessions such as Asia and London, reducing unnecessary zones from outside the intended trading period.
• Clean FVG Zones
Bullish and bearish FVGs are displayed as clear zones without overcrowding the chart.
• FVG Midpoint
Each FVG can display its 50% equilibrium level, providing an additional reference point when price returns to the imbalance.
• Customizable Display
Users can adjust FVG colors, zone appearance, session settings and other visual parameters according to their chart preference.
• Multiple Timeframe Application
The indicator can be applied across different chart timeframes depending on the trader's execution model.
## ZENKO Trading Approach
ZENKO FVG is primarily designed to help locate higher-quality areas of interest.
A typical ZENKO workflow may involve:
Higher-Timeframe FVG → Price returns into the area → Liquidity reaction or sweep → Lower-timeframe imbalance / IFVG confirmation → Execution.
For example, a trader may identify an important FVG on M15 and then move to lower timeframes such as M1–M4 to look for additional confirmation.
The indicator itself does not determine whether a trade should be taken. Market structure, liquidity, displacement, session context and risk management should still be considered.
## Purpose
The main objective of ZENKO FVG is simple:
**Reduce chart noise and make relevant Fair Value Gaps easier to identify.**
Instead of manually marking every imbalance, traders can use the indicator to quickly visualize FVG locations and focus their attention on price action around those areas.
## Important
ZENKO FVG is an analytical tool and should not be treated as an automated buy or sell system.
Fair Value Gaps do not guarantee that price will react, reverse or continue from a specific level. Traders should combine the indicator with their own market analysis, confirmation criteria and risk-management rules.
Past market behavior does not guarantee future results.
**ZENKO — Find the imbalance. Wait for confirmation. Execute with discipline.**
Indicator
CISD + Max Volume Candle [Veilflame Lara]The indicator detects Change in State of Delivery using fractal-based swing highs and lows, then marks structural breaks with bullish or bearish CISD lines. It is intended for fast execution on lower timeframes, such as 5-second or 15-second charts.
Displays CISD using confirmed pivot highs and lows.
Draws customizable timeframe boxes directly on lower-timeframe charts.
Identifies the maximum-volume candle inside each completed box.
Indicator
ATK / DEF MTF Analysis Chameleon Combo SessionATK / DEF MTF Analysis Chameleon Combo Session is a multi-timeframe market observation and visualization tool designed to examine the broader market environment through several independent analytical dimensions.
Unlike traditional single-indicator analysis, this framework combines **MTF Process, MTF Radar, Test Depth Matrix, MTF Direction, and an independent Chameleon MA** into one structured dashboard.
### Core Components
**MTF Process**
Observes changes in higher-timeframe ADX and RSI conditions and classifies the current market process into different states, from accelerating conditions to sideways or declining conditions.
**MTF Radar**
Combines ADX, RSI, and relative ATR to describe the current level of market activity and volatility.
**Test Depth Matrix**
Divides the selected MTF price range into five relative zones:
* Deep Water
* Mid Water
* Shallow Water
* Shallows
* Dry Zone
This provides a visual representation of where the observed market environment is positioned within its selected range.
**MTF Direction**
Uses EMA structure together with DI+ / DI− relationships to classify the directional condition of the selected timeframe.
**Chameleon MA**
The Chameleon component is independently configured and is **not tied to the MTF timeframe setting**. Its moving-average line changes visual state according to its position within the Test Depth Matrix, creating a dynamic zone-based visual layer.
**MTF Final Result**
Combines the independent MTF Process, Radar, Test Depth, and Direction classifications into a normalized composite score for observing the overall market state.
### Multi-Level Market Observation
The framework separates the market into different analytical levels rather than relying on a single indicator reading.
It allows the user to observe:
**Direction → Process → Activity → Depth → Chameleon State → Composite Market State**
The purpose is to provide a broader contextual view of market conditions and how different analytical dimensions interact with each other.
### User Configuration
The indicator is intentionally configurable.
Users must define their own:
* MTF Timeframe
* Chameleon MA Period
* Test Depth Zone Period
* Display settings
The Chameleon parameters are independent from the MTF configuration, allowing the two analytical layers to be adjusted separately.
Different parameter settings can produce different market classifications, so there is no single configuration intended for all symbols or market conditions.
### Important
This indicator is designed **only for market observation, analysis, and visualization**.
It does not provide tadn recommendations, ent or eit instructions, fiial advice, or forts.
The displayed scores and classifications are mathtical representations based on market data and use-selected parameters.
The indicator does not determine what action should be taken.
Use are responsible for selecting and configuring the relevant parameters for their own analysis.
Indicator
2.0- Killzones NAS100/SP500 - Manuel De Jesus Leiva2.0- Killzones NAS100/SP500 - Manuel De Jesus Leiva
Espero que les sirva mi herramienta de trabajo.
Indicator
MNQ MTF Dashboard [RSI/ADX/Stoch/ATR]A compact multi-timeframe table that reads four core indicators across five timeframes at once, so you can gauge trend, momentum, direction, and volatility without flipping charts.
For the chart's current symbol, it displays 5m, 15m, 1H, 4H, and 1D in a single color-coded panel:
ADX (14) — trend strength. Green above 25 (trending), orange 20–25 (borderline), gray below 20 (no trend/chop). ADX measures strength only, not direction.
RSI (14) — directional bias. Green above 50 (bullish lean), red below (bearish lean).
Stochastic (14,3,3) — momentum. Colored by %K vs %D and level; shows whether short-term momentum is rising or fading, and when it's stretched.
ATR (14) — volatility, in points. Read each timeframe relative to its own norm; useful for stop-sizing and spotting volatility expansion.
Bias — a quick synthesis cell combining RSI and Stochastic into Bull / Bear / Mixed.
Indicator
2.0- Killzones EUR/GBP - Manuel De Jesus Leiva// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © tradeforopp
//@version=6
indicator("Killzones EUR/GBP - Manuel De Jesus Leiva", "Killzones EUR/GBP - Manuel De Jesus Leiva", true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
// ---------------------------------------- Constant Functions --------------------------------------------------
get_line_type(_style) =>
switch _style
"Solid" => line.style_solid
"Dotted" => line.style_dotted
"Dashed" => line.style_dashed
get_size(x) =>
switch x
"Auto" => size.auto
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
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
// ---------------------------------------- Constant Functions --------------------------------------------------
// ---------------------------------------- Inputs --------------------------------------------------
var g_SETTINGS = "Settings"
max_days = input.int(1000, "Session Drawing Limit", 1, tooltip = "Only this many drawings will be kept on the chart, for each selected drawing type (killzone boxes, pivot lines, open lines, etc.). Set to 200 for ~6 months of sessions.", group = g_SETTINGS)
tf_limit = input.timeframe("60", "Timeframe Limit", tooltip = "Drawings will not appear on timeframes greater than or equal to this", group = g_SETTINGS)
gmt_tz = input.string('America/New_York', "Timezone", options = , tooltip = "Note GMT is not adjusted to reflect Daylight Saving Time changes", group = g_SETTINGS)
lbl_size = get_size(input.string('Normal', "Label Size", options = , tooltip = "The size of all labels", group = g_SETTINGS))
txt_color = input.color(color.black, "Text Color", tooltip = "The color of all label and table text", group = g_SETTINGS)
use_cutoff = input.bool(false, "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("1800-1801", "", inline = "CO", group = g_SETTINGS)
var tf_limit_is_equal_or_more_chart_tf = timeframe.in_seconds('') <= timeframe.in_seconds(tf_limit)
var g_KZ = "Killzones"
// General Killzone Settings
show_kz = input.bool(true, "Show Killzone Boxes", inline = "KZ", group = g_KZ)
show_kz_text = input.bool(false, "Display Text", inline = "KZ", group = g_KZ)
box_transparency = input.int(70, "Box Transparency", 0, 100, group = g_KZ)
text_transparency = input.int(50, "Text Transparency", 0, 100, group = g_KZ)
// ==================== KILLZONE 01 ====================
use_kz01 = input.bool(true, "00:00-01:00", inline = "KZ01", group = g_KZ)
kz01_txt = input.string("00-01", "", inline = "KZ01", group = g_KZ)
kz01 = input.session("0000-0100", "", inline = "KZ01", group = g_KZ)
kz01_color = input.color(color.blue, "", inline = "KZ01", group = g_KZ)
// ==================== KILLZONE 02 ====================
use_kz02 = input.bool(true, "01:00-02:00", inline = "KZ02", group = g_KZ)
kz02_txt = input.string("01-02", "", inline = "KZ02", group = g_KZ)
kz02 = input.session("0100-0200", "", inline = "KZ02", group = g_KZ)
kz02_color = input.color(color.blue, "", inline = "KZ02", group = g_KZ)
// ==================== KILLZONE 03 ====================
use_kz03 = input.bool(true, "02:00-03:00", inline = "KZ03", group = g_KZ)
kz03_txt = input.string("02-03", "", inline = "KZ03", group = g_KZ)
kz03 = input.session("0200-0300", "", inline = "KZ03", group = g_KZ)
kz03_color = input.color(color.blue, "", inline = "KZ03", group = g_KZ)
// ==================== KILLZONE 04 ====================
use_kz04 = input.bool(true, "03:00-04:00", inline = "KZ04", group = g_KZ)
kz04_txt = input.string("03-04", "", inline = "KZ04", group = g_KZ)
kz04 = input.session("0300-0400", "", inline = "KZ04", group = g_KZ)
kz04_color = input.color(color.blue, "", inline = "KZ04", group = g_KZ)
// ==================== KILLZONE 05 ====================
use_kz05 = input.bool(true, "04:00-05:00", inline = "KZ05", group = g_KZ)
kz05_txt = input.string("04-05", "", inline = "KZ05", group = g_KZ)
kz05 = input.session("0400-0500", "", inline = "KZ05", group = g_KZ)
kz05_color = input.color(color.blue, "", inline = "KZ05", group = g_KZ)
// ==================== KILLZONE 06 ====================
use_kz06 = input.bool(true, "05:00-06:00", inline = "KZ06", group = g_KZ)
kz06_txt = input.string("05-06", "", inline = "KZ06", group = g_KZ)
kz06 = input.session("0500-0600", "", inline = "KZ06", group = g_KZ)
kz06_color = input.color(color.blue, "", inline = "KZ06", group = g_KZ)
// ==================== KILLZONE 07 ====================
use_kz07 = input.bool(true, "06:00-07:00", inline = "KZ07", group = g_KZ)
kz07_txt = input.string("06-07", "", inline = "KZ07", group = g_KZ)
kz07 = input.session("0600-0700", "", inline = "KZ07", group = g_KZ)
kz07_color = input.color(color.blue, "", inline = "KZ07", group = g_KZ)
// ==================== KILLZONE 08 ====================
use_kz08 = input.bool(true, "07:00-08:00", inline = "KZ08", group = g_KZ)
kz08_txt = input.string("07-08", "", inline = "KZ08", group = g_KZ)
kz08 = input.session("0700-0800", "", inline = "KZ08", group = g_KZ)
kz08_color = input.color(color.blue, "", inline = "KZ08", group = g_KZ)
// ==================== KILLZONE 09 ====================
use_kz09 = input.bool(true, "08:00-09:00", inline = "KZ09", group = g_KZ)
kz09_txt = input.string("08-09", "", inline = "KZ09", group = g_KZ)
kz09 = input.session("0800-0900", "", inline = "KZ09", group = g_KZ)
kz09_color = input.color(color.blue, "", inline = "KZ09", group = g_KZ)
// ==================== KILLZONE 10 ====================
use_kz10 = input.bool(true, "09:00-10:00", inline = "KZ10", group = g_KZ)
kz10_txt = input.string("09-10", "", inline = "KZ10", group = g_KZ)
kz10 = input.session("0900-1000", "", inline = "KZ10", group = g_KZ)
kz10_color = input.color(color.blue, "", inline = "KZ10", group = g_KZ)
// ==================== KILLZONE 11 ====================
use_kz11 = input.bool(true, "10:00-11:00", inline = "KZ11", group = g_KZ)
kz11_txt = input.string("10-11", "", inline = "KZ11", group = g_KZ)
kz11 = input.session("1000-1100", "", inline = "KZ11", group = g_KZ)
kz11_color = input.color(color.blue, "", inline = "KZ11", group = g_KZ)
// ==================== KILLZONE 12 ====================
use_kz12 = input.bool(true, "11:00-12:00", inline = "KZ12", group = g_KZ)
kz12_txt = input.string("11-12", "", inline = "KZ12", group = g_KZ)
kz12 = input.session("1100-1200", "", inline = "KZ12", group = g_KZ)
kz12_color = input.color(color.blue, "", inline = "KZ12", group = g_KZ)
// ==================== KILLZONE 13 ====================
use_kz13 = input.bool(true, "12:00-13:00", inline = "KZ13", group = g_KZ)
kz13_txt = input.string("12-13", "", inline = "KZ13", group = g_KZ)
kz13 = input.session("1200-1300", "", inline = "KZ13", group = g_KZ)
kz13_color = input.color(color.blue, "", inline = "KZ13", group = g_KZ)
// ==================== KILLZONE 14 ====================
use_kz14 = input.bool(true, "13:00-14:00", inline = "KZ14", group = g_KZ)
kz14_txt = input.string("13-14", "", inline = "KZ14", group = g_KZ)
kz14 = input.session("1300-1400", "", inline = "KZ14", group = g_KZ)
kz14_color = input.color(color.blue, "", inline = "KZ14", group = g_KZ)
// ==================== KILLZONE 15 ====================
use_kz15 = input.bool(true, "14:00-15:00", inline = "KZ15", group = g_KZ)
kz15_txt = input.string("14-15", "", inline = "KZ15", group = g_KZ)
kz15 = input.session("1400-1500", "", inline = "KZ15", group = g_KZ)
kz15_color = input.color(color.blue, "", inline = "KZ15", group = g_KZ)
// ==================== KILLZONE 16 ====================
use_kz16 = input.bool(true, "15:00-16:00", inline = "KZ16", group = g_KZ)
kz16_txt = input.string("15-16", "", inline = "KZ16", group = g_KZ)
kz16 = input.session("1500-1600", "", inline = "KZ16", group = g_KZ)
kz16_color = input.color(color.blue, "", inline = "KZ16", group = g_KZ)
// ==================== KILLZONE 17 ====================
use_kz17 = input.bool(true, "16:00-17:00", inline = "KZ17", group = g_KZ)
kz17_txt = input.string("16-17", "", inline = "KZ17", group = g_KZ)
kz17 = input.session("1600-1700", "", inline = "KZ17", group = g_KZ)
kz17_color = input.color(color.blue, "", inline = "KZ17", group = g_KZ)
// ==================== KILLZONE 18 ====================
use_kz18 = input.bool(true, "17:00-18:00", inline = "KZ18", group = g_KZ)
kz18_txt = input.string("17-18", "", inline = "KZ18", group = g_KZ)
kz18 = input.session("1700-1800", "", inline = "KZ18", group = g_KZ)
kz18_color = input.color(color.blue, "", inline = "KZ18", group = g_KZ)
// ==================== KILLZONE 19 ====================
use_kz19 = input.bool(true, "18:00-19:00", inline = "KZ19", group = g_KZ)
kz19_txt = input.string("18-19", "", inline = "KZ19", group = g_KZ)
kz19 = input.session("1800-1900", "", inline = "KZ19", group = g_KZ)
kz19_color = input.color(color.blue, "", inline = "KZ19", group = g_KZ)
// ==================== KILLZONE 20 ====================
use_kz20 = input.bool(true, "19:00-20:00", inline = "KZ20", group = g_KZ)
kz20_txt = input.string("19-20", "", inline = "KZ20", group = g_KZ)
kz20 = input.session("1900-2000", "", inline = "KZ20", group = g_KZ)
kz20_color = input.color(color.blue, "", inline = "KZ20", group = g_KZ)
// ==================== KILLZONE 21 ====================
use_kz21 = input.bool(true, "20:00-21:00", inline = "KZ21", group = g_KZ)
kz21_txt = input.string("20-21", "", inline = "KZ21", group = g_KZ)
kz21 = input.session("2000-2100", "", inline = "KZ21", group = g_KZ)
kz21_color = input.color(color.blue, "", inline = "KZ21", group = g_KZ)
// ==================== KILLZONE 22 ====================
use_kz22 = input.bool(true, "21:00-22:00", inline = "KZ22", group = g_KZ)
kz22_txt = input.string("21-22", "", inline = "KZ22", group = g_KZ)
kz22 = input.session("2100-2200", "", inline = "KZ22", group = g_KZ)
kz22_color = input.color(color.blue, "", inline = "KZ22", group = g_KZ)
// ==================== KILLZONE 23 ====================
use_kz23 = input.bool(true, "22:00-23:00", inline = "KZ23", group = g_KZ)
kz23_txt = input.string("22-23", "", inline = "KZ23", group = g_KZ)
kz23 = input.session("2200-2300", "", inline = "KZ23", group = g_KZ)
kz23_color = input.color(color.blue, "", inline = "KZ23", group = g_KZ)
// ==================== KILLZONE 24 ====================
use_kz24 = input.bool(true, "23:00-00:00", inline = "KZ24", group = g_KZ)
kz24_txt = input.string("23-00", "", inline = "KZ24", group = g_KZ)
kz24 = input.session("2300-0000", "", inline = "KZ24", group = g_KZ)
kz24_color = input.color(color.blue, "", inline = "KZ24", group = g_KZ)
// ==================== KILLZONE 25 ====================
use_kz25 = input.bool(true, "17:00-21:00", inline = "KZ25", group = g_KZ)
kz25_txt = input.string("H4", "", inline = "KZ25", group = g_KZ)
kz25 = input.session("1700-2100", "", inline = "KZ25", group = g_KZ)
kz25_color = input.color(color.orange, "", inline = "KZ25", group = g_KZ)
// ==================== KILLZONE 26 ====================
use_kz26 = input.bool(true, "21:00-01:00", inline = "KZ26", group = g_KZ)
kz26_txt = input.string("H4", "", inline = "KZ26", group = g_KZ)
kz26 = input.session("2100-0100", "", inline = "KZ26", group = g_KZ)
kz26_color = input.color(color.aqua, "", inline = "KZ26", group = g_KZ)
// ==================== KILLZONE 27 ====================
use_kz27 = input.bool(true, "01:00-05:00", inline = "KZ27", group = g_KZ)
kz27_txt = input.string("H4", "", inline = "KZ27", group = g_KZ)
kz27 = input.session("0100-0500", "", inline = "KZ27", group = g_KZ)
kz27_color = input.color(color.green, "", inline = "KZ27", group = g_KZ)
// ==================== KILLZONE 28 ====================
use_kz28 = input.bool(true, "05:00-09:00", inline = "KZ28", group = g_KZ)
kz28_txt = input.string("H4", "", inline = "KZ28", group = g_KZ)
kz28 = input.session("0500-0900", "", inline = "KZ28", group = g_KZ)
kz28_color = input.color(color.yellow, "", inline = "KZ28", group = g_KZ)
// ==================== KILLZONE 29 ====================
use_kz29 = input.bool(true, "09:00-13:00", inline = "KZ29", group = g_KZ)
kz29_txt = input.string("H4", "", inline = "KZ29", group = g_KZ)
kz29 = input.session("0900-1300", "", inline = "KZ29", group = g_KZ)
kz29_color = input.color(color.red, "", inline = "KZ29", group = g_KZ)
// ==================== KILLZONE 30 ====================
use_kz30 = input.bool(true, "13:00-17:00", inline = "KZ30", group = g_KZ)
kz30_txt = input.string("H4", "", inline = "KZ30", group = g_KZ)
kz30 = input.session("1300-1700", "", inline = "KZ30", group = g_KZ)
kz30_color = input.color(color.purple, "", inline = "KZ30", group = g_KZ)
// ==================== KILLZONE 31 ====================
use_kz31 = input.bool(false, "05:00-17:00", inline = "KZ31", group = g_KZ)
kz31_txt = input.string("H12", "", inline = "KZ31", group = g_KZ)
kz31 = input.session("0500-1700", "", inline = "KZ31", group = g_KZ)
kz31_color = input.color(color.purple, "", inline = "KZ31", group = g_KZ)
// ==================== KILLZONE 32 ====================
use_kz32 = input.bool(false, "17:00-05:00", inline = "KZ32", group = g_KZ)
kz32_txt = input.string("H12", "", inline = "KZ32", group = g_KZ)
kz32 = input.session("1700-0500", "", inline = "KZ32", group = g_KZ)
kz32_color = input.color(color.purple, "", inline = "KZ32", group = g_KZ)
// ==================== KILLZONE 33 ====================
use_kz33 = input.bool(false, "17:00-01:00", inline = "KZ33", group = g_KZ)
kz33_txt = input.string("H8", "", inline = "KZ33", group = g_KZ)
kz33 = input.session("1700-0100", "", inline = "KZ33", group = g_KZ)
kz33_color = input.color(color.purple, "", inline = "KZ33", group = g_KZ)
// ==================== KILLZONE 34 ====================
use_kz34 = input.bool(false, "01:00-09:00", inline = "KZ34", group = g_KZ)
kz34_txt = input.string("H8", "", inline = "KZ34", group = g_KZ)
kz34 = input.session("0100-0900", "", inline = "KZ34", group = g_KZ)
kz34_color = input.color(color.purple, "", inline = "KZ34", group = g_KZ)
// ==================== KILLZONE 35 ====================
use_kz35 = input.bool(false, "09:00-17:00", inline = "KZ35", group = g_KZ)
kz35_txt = input.string("H8", "", inline = "KZ35", group = g_KZ)
kz35 = input.session("0900-1700", "", inline = "KZ35", group = g_KZ)
kz35_color = input.color(color.purple, "", inline = "KZ35", group = g_KZ)
// ==================== KILLZONE 36 ====================
use_kz36 = input.bool(false, "17:00-23:00", inline = "KZ36", group = g_KZ)
kz36_txt = input.string("H6", "", inline = "KZ36", group = g_KZ)
kz36 = input.session("1700-2300", "", inline = "KZ36", group = g_KZ)
kz36_color = input.color(color.purple, "", inline = "KZ36", group = g_KZ)
// ==================== KILLZONE 37 ====================
use_kz37 = input.bool(false, "23:00-05:00", inline = "KZ37", group = g_KZ)
kz37_txt = input.string("H6", "", inline = "KZ37", group = g_KZ)
kz37 = input.session("2300-0500", "", inline = "KZ37", group = g_KZ)
kz37_color = input.color(color.purple, "", inline = "KZ37", group = g_KZ)
// ==================== KILLZONE 38 ====================
use_kz38 = input.bool(false, "05:00-11:00", inline = "KZ38", group = g_KZ)
kz38_txt = input.string("H6", "", inline = "KZ38", group = g_KZ)
kz38 = input.session("0500-1100", "", inline = "KZ38", group = g_KZ)
kz38_color = input.color(color.purple, "", inline = "KZ38", group = g_KZ)
// ==================== KILLZONE 39 ====================
use_kz39 = input.bool(false, "11:00-17:00", inline = "KZ39", group = g_KZ)
kz39_txt = input.string("H6", "", inline = "KZ39", group = g_KZ)
kz39 = input.session("1100-1700", "", inline = "KZ39", group = g_KZ)
kz39_color = input.color(color.purple, "", inline = "KZ39", group = g_KZ)
var g_LABELS = "Killzone Pivots"
show_pivots = input.bool(false, "Show Pivots", inline = "PV", group = g_LABELS)
use_alerts = input.bool(false, "Alert Broken Pivots", inline = "PV", tooltip = "The desired killzones must be enabled at the time that an alert is created, along with the show pivots option, in order for alerts to work", group = g_LABELS)
show_midpoints = input.bool(false, "Show Pivot Midpoints", inline = "mp", group = g_LABELS)
stop_midpoints = input.bool(false, "Stop Once Mitigated", inline = "mp", group = g_LABELS)
show_labels = input.bool(false, "Show Pivot Labels", inline = "LB", tooltip = "Show labels denoting each killzone's high and low. Optionally choose to show the price of each level. Right side will show labels on the right-hand side of the chart until they are reached", group = g_LABELS)
label_price = input.bool(false, "Display Price", inline = "LB", group = g_LABELS)
label_right = input.bool(false, "Right Side", inline = "LB", group = g_LABELS)
ext_pivots = input.string("Until Mitigated", "Extend Pivots...", options = , group = g_LABELS)
ext_which = input.string("All", "...From Which Sessions", options = , group = g_LABELS)
ash_str = input.string("AS.H", "Killzone 1 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 2 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 3 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 4 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 5 Labels", inline = "L_NP", group = g_LABELS)
npl_str = input.string("NYPM.L", "", inline = "L_NP", 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(false, "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"
sep_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_DWM)
alert_HL = input.bool(false, "Alert High/Low Break", tooltip = "Alert when any selected highs and lows are traded through. The desired timeframe's high/low option must be enabled at the time that an alert is created", group = g_DWM)
show_d_open = input.bool(false, "D Open", inline = "DO", group = g_DWM)
dhl = input.bool(false, "High/Low", inline = "DO", tooltip = "", group = g_DWM)
ds = input.bool(false, "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(false, "W Open", inline = "WO", group = g_DWM)
whl = input.bool(false, "High/Low", inline = "WO", tooltip = "", group = g_DWM)
ws = input.bool(false, "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(false, "M Open", inline = "MO", group = g_DWM)
mhl = input.bool(false, "High/Low", inline = "MO", tooltip = "", group = g_DWM)
ms = input.bool(false, "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 = 'Solid', title = "Style", options = , inline = "D0", group = g_DWM))
htf_width = input.int(1, "", inline = "D0", group = g_DWM)
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)
dow_hide_wknd = input.bool(false, "Hide Weekend Labels", group = g_DWM)
var g_OPEN = "Opening Prices"
open_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_OPEN)
use_h1 = input.bool(false, "", inline = "H1", group = g_OPEN)
h1_text = input.string("17:00 H12/H8/H6/H4", "", inline = "H1", group = g_OPEN)
h1 = input.session("1700-1701", "", inline = "H1", group = g_OPEN)
h1_color = input.color(color.black, "", inline = "H1", group = g_OPEN)
use_h2 = input.bool(false, "", inline = "H2", group = g_OPEN)
h2_text = input.string("05:00 H12/H6/H4", "", inline = "H2", group = g_OPEN)
h2 = input.session("0500-0501", "", inline = "H2", group = g_OPEN)
h2_color = input.color(color.black, "", inline = "H2", group = g_OPEN)
use_h3 = input.bool(false, "", inline = "H3", group = g_OPEN)
h3_text = input.string("01:00 H8/H4", "", inline = "H3", group = g_OPEN)
h3 = input.session("0100-0101", "", inline = "H3", group = g_OPEN)
h3_color = input.color(color.black, "", inline = "H3", group = g_OPEN)
use_h4 = input.bool(false, "", inline = "H4", group = g_OPEN)
h4_text = input.string("09:00 H8/H4", "", inline = "H4", group = g_OPEN)
h4 = input.session("0900-0901", "", inline = "H4", group = g_OPEN)
h4_color = input.color(color.black, "", inline = "H4", group = g_OPEN)
use_h5 = input.bool(false, "", inline = "H5", group = g_OPEN)
h5_text = input.string("23:00 H6", "", inline = "H5", group = g_OPEN)
h5 = input.session("2300-2301", "", inline = "H5", group = g_OPEN)
h5_color = input.color(color.black, "", inline = "H5", group = g_OPEN)
use_h6 = input.bool(false, "", inline = "H6", group = g_OPEN)
h6_text = input.string("11:00 H6", "", inline = "H6", group = g_OPEN)
h6 = input.session("1100-1101", "", inline = "H6", group = g_OPEN)
h6_color = input.color(color.black, "", inline = "H6", group = g_OPEN)
use_h7 = input.bool(false, "", inline = "H7", group = g_OPEN)
h7_text = input.string("21:00 H4", "", inline = "H7", group = g_OPEN)
h7 = input.session("2100-2101", "", inline = "H7", group = g_OPEN)
h7_color = input.color(color.black, "", inline = "H7", group = g_OPEN)
use_h8 = input.bool(false, "", inline = "H8", group = g_OPEN)
h8_text = input.string("13:00 H4", "", inline = "H8", group = g_OPEN)
h8 = input.session("1300-1301", "", inline = "H8", group = g_OPEN)
h8_color = input.color(color.black, "", inline = "H8", 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"
v_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_VERTICAL)
use_v1 = input.bool(false, "", inline = "V1", group = g_VERTICAL)
v1 = input.session("0000-0001", "", inline = "V1", group = g_VERTICAL)
v1_color = input.color(color.black, "", 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(color.black, "", 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(color.black, "", 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(color.black, "", 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
array _box
array _hi_line
array _md_line
array _lo_line
array _hi_label
array _lo_label
array _hi_valid
array _md_valid
array _lo_valid
array _range_store
float _range_current
type hz
array LN
array LB
array CO
type dwm_hl
array hi_line
array lo_line
array hi_label
array lo_label
bool hit_high = false
bool hit_low = false
type dwm_info
string tf
float o = na
float h = na
float l = na
float ph = na
float pl = na
type lines_helper
hz _hz
string h
string h_text
color h_color
initLines() =>
array res = array.new()
if use_h1
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h1, h1_text, h1_color))
if use_h2
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h2, h2_text, h2_color))
if use_h3
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h3, h3_text, h3_color))
if use_h4
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h4, h4_text, h4_color))
if use_h5
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h5, h5_text, h5_color))
if use_h6
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h6, h6_text, h6_color))
if use_h7
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h7, h7_text, h7_color))
if use_h8
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h8, h8_text, h8_color))
res
var array lines = initLines()
type kz_helper
kz _kz
string session
color c
string box_txt
string hi_txt
string lo_txt
initKZ() =>
array res = array.new()
if use_kz01
res.push(kz_helper.new(
kz.new(kz01_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()),
kz01, kz01_color, kz01_txt, "KZ01.H", "KZ01.L"
))
if use_kz02
res.push(kz_helper.new(
kz.new(kz02_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()),
kz02, kz02_color, kz02_txt, "KZ02.H", "KZ02.L"
))
if use_kz03
res.push(kz_helper.new(
kz.new(kz03_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()),
kz03, kz03_color, kz03_txt, "KZ03.H", "KZ03.L"
))
if use_kz04
res.push(kz_helper.new(
kz.new(kz04_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()),
kz04, kz04_color, kz04_txt, "KZ04.H", "KZ04.L"
))
if use_kz05
res.push(kz_helper.new(
kz.new(kz05_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()),
kz05, kz05_color, kz05_txt, "KZ05.H", "KZ05.L"
))
if use_kz06
res.push(kz_helper.new(
kz.new(kz06_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()),
kz06, kz06_color, kz06_txt, "KZ06.H", "KZ06.L"
))
if use_kz07
res.push(kz_helper.new(
kz.new(kz07_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()),
kz07, kz07_color, kz07_txt, "KZ07.H", "KZ07.L"
))
if use_kz08
res.push(kz_helper.new(
kz.new(kz08_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()),
kz08, kz08_color, kz08_txt, "KZ08.H", "KZ08.L"
))
if use_kz09
res.push(kz_helper.new(
kz.new(kz09_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()),
kz09, kz09_color, kz09_txt, "KZ09.H", "KZ09.L"
))
if use_kz10
res.push(kz_helper.new(
kz.new(kz10_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()),
kz10, kz10_color, kz10_txt, "KZ10.H", "KZ10.L"
))
if use_kz11
res.push(kz_helper.new(
kz.new(kz11_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()),
kz11, kz11_color, kz11_txt, "KZ11.H", "KZ11.L"
))
if use_kz12
res.push(kz_helper.new(
kz.new(kz12_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()),
kz12, kz12_color, kz12_txt, "KZ12.H", "KZ12.L"
))
if use_kz13
res.push(kz_helper.new(
kz.new(kz13_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()),
kz13, kz13_color, kz13_txt, "KZ13.H", "KZ13.L"
))
if use_kz14
res.push(kz_helper.new(
kz.new(kz14_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()),
kz14, kz14_color, kz14_txt, "KZ14.H", "KZ14.L"
))
if use_kz15
res.push(kz_helper.new(
kz.new(kz15_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()),
kz15, kz15_color, kz15_txt, "KZ15.H", "KZ15.L"
))
if use_kz16
res.push(kz_helper.new(
kz.new(kz16_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()),
kz16, kz16_color, kz16_txt, "KZ16.H", "KZ16.L"
))
if use_kz17
res.push(kz_helper.new(
kz.new(kz17_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()),
kz17, kz17_color, kz17_txt, "KZ17.H", "KZ17.L"
))
if use_kz18
res.push(kz_helper.new(
kz.new(kz18_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()),
kz18, kz18_color, kz18_txt, "KZ18.H", "KZ18.L"
))
if use_kz19
res.push(kz_helper.new(
kz.new(kz19_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()),
kz19, kz19_color, kz19_txt, "KZ19.H", "KZ19.L"
))
if use_kz20
res.push(kz_helper.new(
kz.new(kz20_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()),
kz20, kz20_color, kz20_txt, "KZ20.H", "KZ20.L"
))
if use_kz21
res.push(kz_helper.new(
kz.new(kz21_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()),
kz21, kz21_color, kz21_txt, "KZ21.H", "KZ21.L"
))
if use_kz22
res.push(kz_helper.new(
kz.new(kz22_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()),
kz22, kz22_color, kz22_txt, "KZ22.H", "KZ22.L"
))
if use_kz23
res.push(kz_helper.new(
kz.new(kz23_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()),
kz23, kz23_color, kz23_txt, "KZ23.H", "KZ23.L"
))
if use_kz24
res.push(kz_helper.new(
kz.new(kz24_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()),
kz24, kz24_color, kz24_txt, "KZ24.H", "KZ24.L"
))
if use_kz25
res.push(kz_helper.new(
kz.new(kz25_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()),
kz25, kz25_color, kz25_txt, "KZ25.H", "KZ25.L"
))
if use_kz26
res.push(kz_helper.new(
kz.new(kz26_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()),
kz26, kz26_color, kz26_txt, "KZ26.H", "KZ26.L"
))
if use_kz27
res.push(kz_helper.new(
kz.new(kz27_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()),
kz27, kz27_color, kz27_txt, "KZ27.H", "KZ27.L"
))
if use_kz28
res.push(kz_helper.new(
kz.new(kz28_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()),
kz28, kz28_color, kz28_txt, "KZ28.H", "KZ28.L"
))
if use_kz29
res.push(kz_helper.new(
kz.new(kz29_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()),
kz29, kz29_color, kz29_txt, "KZ29.H", "KZ29.L"
))
if use_kz30
res.push(kz_helper.new(
kz.new(kz30_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()),
kz30, kz30_color, kz30_txt, "KZ30.H", "KZ30.L"
))
if use_kz31
res.push(kz_helper.new(
kz.new(kz31_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()),
kz31, kz31_color, kz31_txt, "KZ31.H", "KZ31.L"
))
if use_kz32
res.push(kz_helper.new(
kz.new(kz32_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()),
kz32, kz32_color, kz32_txt, "KZ32.H", "KZ32.L"
))
if use_kz33
res.push(kz_helper.new(
kz.new(kz33_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()),
kz33, kz33_color, kz33_txt, "KZ33.H", "KZ33.L"
))
if use_kz34
res.push(kz_helper.new(
kz.new(kz34_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()),
kz34, kz34_color, kz34_txt, "KZ34.H", "KZ34.L"
))
if use_kz35
res.push(kz_helper.new(
kz.new(kz35_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()),
kz35, kz35_color, kz35_txt, "KZ35.H", "KZ35.L"
))
if use_kz36
res.push(kz_helper.new(
kz.new(kz36_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()),
kz36, kz36_color, kz36_txt, "KZ36.H", "KZ36.L"
))
if use_kz37
res.push(kz_helper.new(
kz.new(kz37_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()),
kz37, kz37_color, kz37_txt, "KZ37.H", "KZ37.L"
))
if use_kz38
res.push(kz_helper.new(
kz.new(kz38_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()),
kz38, kz38_color, kz38_txt, "KZ38.H", "KZ38.L"
))
if use_kz39
res.push(kz_helper.new(
kz.new(kz39_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()),
kz39, kz39_color, kz39_txt, "KZ39.H", "KZ39.L"
))
res
var array _kz = initKZ()
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_co = not na(time("", cutoff, gmt_tz))
type ts_helper
string session
array lines
color c
initTS() =>
array res = array.new()
if use_v1
res.push(ts_helper.new(v1, array.new_line(), v1_color))
if use_v2
res.push(ts_helper.new(v2, array.new_line(), v2_color))
if use_v3
res.push(ts_helper.new(v3, array.new_line(), v3_color))
if use_v4
res.push(ts_helper.new(v4, array.new_line(), v4_color))
res
var array ts_data = initTS()
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 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) =>
color.new(c, box_transparency)
get_text_color(color c) =>
color.new(c, text_transparency)
// ---------------------------------------- Functions --------------------------------------------------
// ---------------------------------------- Core Logic --------------------------------------------------
dwm_sep(string tf, bool use, array 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, array lns, array lbls, dwm_info n, color col) =>
if use
if lns.size() > 0
lns.get(0).set_x2(time)
lbls.get(0).set_x(time)
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))
if not sep_unlimited and lns.size() > max_days
lns.pop().delete()
lbls.pop().delete()
dwm_hl(string tf, bool use, dwm_hl hl, dwm_info n, color col) =>
if use
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)
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))
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))
hl.hit_high := false
hl.hit_low := false
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()
if hl.hi_line.size() > 0 and alert_HL
if not hl.hit_high and high > hl.hi_line.get(0).get_y1()
hl.hit_high := true
alert(str.format("Hit P{0}H", tf))
if not hl.hit_low and low < hl.lo_line.get(0).get_y1()
hl.hit_low := true
alert(str.format("Hit P{0}L", tf))
dwm() =>
if tf_limit_is_equal_or_more_chart_tf
// DWM - Separators
dwm_sep("D", ds, d_sep_line, d_color)
dwm_sep("W", ws, w_sep_line, w_color)
dwm_sep("M", ms, m_sep_line, m_color)
// DWM - Open Lines
dwm_open("D", show_d_open, d_line, d_label, d_info, d_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
// DWM - Highs and Lows
dwm_hl("D", dhl, d_hl, d_info, d_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
method vline(ts_helper this) =>
bool t = not na(time("", this.session, gmt_tz))
bool t_prev = not na(time("", this.session, gmt_tz, bars_back = 1))
array arr = this.lines
color col = this.c
if t and not t_prev
arr.unshift(line.new(bar_index, high * 1.0001, bar_index, low, style = vl_style, width = vl_width, extend = extend.both, color = col))
if not v_unlimited
if arr.size() > max_days
arr.pop().delete()
vlines() =>
if tf_limit_is_equal_or_more_chart_tf
for in ts_data
vline(value)
method hz_line(lines_helper this) =>
bool t = not na(time("", this.h, gmt_tz))
bool t_prev = not na(time("", this.h, gmt_tz, bars_back = 1))
hz hz = this._hz
string txt = this.h_text
color col = this.h_color
if t and not t_prev
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))
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 tf_limit_is_equal_or_more_chart_tf
for in lines
hz_line(value)
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()
update_price_string(label L, float P) =>
S = L.get_text()
pre = str.substring(S, 0, str.pos(S, " "))
str.trim(pre)
L.set_text(str.format("{0} ({1})", pre, P))
adjust_in_kz(kz kz, bool t) =>
if t
kzBox0 = kz._box.get(0)
kzBox0.set_right(time)
newTop = math.max(kzBox0.get_top(), high)
kzBox0.set_top(newTop)
newBottom = math.min(kzBox0.get_bottom(), low)
kzBox0.set_bottom(newBottom)
kz._range_current := newTop - newBottom
if show_pivots and kz._hi_line.size() > 0
kzHiLine0 = kz._hi_line.get(0)
kzHiLine0.set_x2(time)
if high > kzHiLine0.get_y1()
kzHiLine0.set_xy1(time, high)
kzHiLine0.set_xy2(time, high)
kzLoLine0 = kz._lo_line.get(0)
kzLoLine0.set_x2(time)
if low < kzLoLine0.get_y1()
kzLoLine0.set_xy1(time, low)
kzLoLine0.set_xy2(time, low)
if show_midpoints
kzMidLine0 = kz._md_line.get(0)
kzMidLine0.set_x2(time)
kzMidLine0.set_xy1(time, math.avg(kzHiLine0.get_y2(), kzLoLine0.get_y2()))
kzMidLine0.set_xy2(time, math.avg(kzHiLine0.get_y2(), kzLoLine0.get_y2()))
if show_labels and kz._hi_label.size() > 0
if label_right
kz._hi_label.get(0).set_x(time)
kz._lo_label.get(0).set_x(time)
if high > kz._hi_label.get(0).get_y()
kz._hi_label.get(0).set_xy(time, high)
if label_price
update_price_string(kz._hi_label.get(0), high)
if low < kz._lo_label.get(0).get_y()
kz._lo_label.get(0).set_xy(time, low)
if label_price
update_price_string(kz._lo_label.get(0), low)
adjust_out_kz(kz kz, bool t, bool t_prev) =>
boxCount = kz._box.size()
if not t and boxCount > 0
if t_prev
array.unshift(kz._range_store, kz._range_current)
if kz._range_store.size() > range_avg
kz._range_store.pop()
if show_pivots and boxCount > 0
for i = 0 to boxCount - 1 by 1
if not ext_current or i == 0
kzHiValid = kz._hi_valid.get(i)
if ext_past or kzHiValid
kz._hi_line.get(i).set_x2(time)
if show_labels and label_right
kz._hi_label.get(i).set_x(time)
if kzHiValid and high > kz._hi_line.get(i).get_y1()
if use_alerts and i == 0
alert('Broke ' + kz._title + ' High', alert.freq_once_per_bar)
kz._hi_valid.set(i, false)
if show_labels and label_right
kz._hi_label.get(i).set_style(label.style_label_down)
else if use_cutoff ? t_co : false
kz._hi_valid.set(i, false)
kzLoValid = kz._lo_valid.get(i)
if ext_past or kzLoValid
kz._lo_line.get(i).set_x2(time)
if show_labels and label_right
kz._lo_label.get(i).set_x(time)
if kzLoValid and low < kz._lo_line.get(i).get_y1()
if use_alerts and i == 0
alert("Broke " + kz._title + " Low", alert.freq_once_per_bar)
kz._lo_valid.set(i, false)
if show_labels and label_right
kz._lo_label.get(i).set_style(label.style_label_up)
else if use_cutoff ? t_co : false
kz._lo_valid.set(i, false)
if show_midpoints and not t
if stop_midpoints ? kz._md_valid.get(i) : true
kz._md_line.get(i).set_x2(time)
if kz._md_valid.get(i) and low <= kz._md_line.get(i).get_y1() and high >= kz._md_line.get(i).get_y1()
kz._md_valid.set(i, false)
else
break
method manage_kz(kz_helper this) =>
kz kz = this._kz
c = this.c
string box_txt = this.box_txt
string hi_txt = this.hi_txt
string lo_txt = this.lo_txt
if tf_limit_is_equal_or_more_chart_tf
t = not na(time("", this.session, gmt_tz))
t_prev = not na(time("", this.session, gmt_tz, bars_back = 1))
if t and not t_prev
_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
_hi_txt = label_price ? str.format('{0} ({1})', hi_txt, high) : hi_txt
_lo_txt = label_price ? str.format('{0} ({1})', lo_txt, low) : lo_txt
if label_right
kz._hi_label.unshift(label.new(time, high, _hi_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_left, 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_left, size = lbl_size))
else
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, t_prev)
for in _kz
manage_kz(value)
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 saturday = "SATURDAY"
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 and not dow_hide_wknd, 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)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 7 and new_day and not dow_hide_wknd, location = dow_top ? location.top : location.bottom, char = '', textcolor = txt_color, text = saturday)
get_min_days_stored() =>
store = array.new_int()
for in _kz
int tmpStoreSize = value._kz._range_store.size()
if tmpStoreSize > 0
store.push(tmpStoreSize)
store.min()
method set_table(table tbl, kz kz, int row, string txt, bool t, color col) =>
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)
for in _kz
set_table(tbl, value._kz, index + 1, value.box_txt, not na(time("", value.session, gmt_tz)), value.c)
// ---------------------------------------- Core Logic --------------------------------------------------
Indicator
Killzones US100/SP500 - Manuel De Jesus Leiva// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © tradeforopp
//@version=6
indicator("Killzones US100/SP500 - Manuel De Jesus Leiva", "Killzones US100/SP500 - Manuel De Jesus Leiva", true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
// ---------------------------------------- Constant Functions --------------------------------------------------
get_line_type(_style) =>
switch _style
"Solid" => line.style_solid
"Dotted" => line.style_dotted
"Dashed" => line.style_dashed
get_size(x) =>
switch x
"Auto" => size.auto
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
"Huge" => size.huge
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
// ---------------------------------------- Constant Functions --------------------------------------------------
// ---------------------------------------- Inputs --------------------------------------------------
var g_SETTINGS = "Settings"
max_days = input.int(1000, "Session Drawing Limit", 1, tooltip = "Only this many drawings will be kept on the chart, for each selected drawing type (killzone boxes, pivot lines, open lines, etc.). Set to 200 for ~6 months of sessions.", group = g_SETTINGS)
tf_limit = input.timeframe("60", "Timeframe Limit", tooltip = "Drawings will not appear on timeframes greater than or equal to this", group = g_SETTINGS)
gmt_tz = input.string('America/New_York', "Timezone", options = , tooltip = "Note GMT is not adjusted to reflect Daylight Saving Time changes", group = g_SETTINGS)
lbl_size = get_size(input.string('Normal', "Label Size", options = , tooltip = "The size of all labels", group = g_SETTINGS))
txt_color = input.color(color.black, "Text Color", tooltip = "The color of all label and table text", group = g_SETTINGS)
use_cutoff = input.bool(false, "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("1800-1801", "", inline = "CO", group = g_SETTINGS)
var tf_limit_is_equal_or_more_chart_tf = timeframe.in_seconds('') <= timeframe.in_seconds(tf_limit)
var g_KZ = "Killzones"
// General Killzone Settings
show_kz = input.bool(true, "Show Killzone Boxes", inline = "KZ", group = g_KZ)
show_kz_text = input.bool(false, "Display Text", inline = "KZ", group = g_KZ)
box_transparency = input.int(70, "Box Transparency", 0, 100, group = g_KZ)
text_transparency = input.int(50, "Text Transparency", 0, 100, group = g_KZ)
// ==================== KILLZONE 01 ====================
use_kz01 = input.bool(true, "00:00-01:00", inline = "KZ01", group = g_KZ)
kz01_txt = input.string("00-01", "", inline = "KZ01", group = g_KZ)
kz01 = input.session("0000-0100", "", inline = "KZ01", group = g_KZ)
kz01_color = input.color(color.blue, "", inline = "KZ01", group = g_KZ)
// ==================== KILLZONE 02 ====================
use_kz02 = input.bool(true, "01:00-02:00", inline = "KZ02", group = g_KZ)
kz02_txt = input.string("01-02", "", inline = "KZ02", group = g_KZ)
kz02 = input.session("0100-0200", "", inline = "KZ02", group = g_KZ)
kz02_color = input.color(color.blue, "", inline = "KZ02", group = g_KZ)
// ==================== KILLZONE 03 ====================
use_kz03 = input.bool(true, "02:00-03:00", inline = "KZ03", group = g_KZ)
kz03_txt = input.string("02-03", "", inline = "KZ03", group = g_KZ)
kz03 = input.session("0200-0300", "", inline = "KZ03", group = g_KZ)
kz03_color = input.color(color.blue, "", inline = "KZ03", group = g_KZ)
// ==================== KILLZONE 04 ====================
use_kz04 = input.bool(true, "03:00-04:00", inline = "KZ04", group = g_KZ)
kz04_txt = input.string("03-04", "", inline = "KZ04", group = g_KZ)
kz04 = input.session("0300-0400", "", inline = "KZ04", group = g_KZ)
kz04_color = input.color(color.blue, "", inline = "KZ04", group = g_KZ)
// ==================== KILLZONE 05 ====================
use_kz05 = input.bool(true, "04:00-05:00", inline = "KZ05", group = g_KZ)
kz05_txt = input.string("04-05", "", inline = "KZ05", group = g_KZ)
kz05 = input.session("0400-0500", "", inline = "KZ05", group = g_KZ)
kz05_color = input.color(color.blue, "", inline = "KZ05", group = g_KZ)
// ==================== KILLZONE 06 ====================
use_kz06 = input.bool(true, "05:00-06:00", inline = "KZ06", group = g_KZ)
kz06_txt = input.string("05-06", "", inline = "KZ06", group = g_KZ)
kz06 = input.session("0500-0600", "", inline = "KZ06", group = g_KZ)
kz06_color = input.color(color.blue, "", inline = "KZ06", group = g_KZ)
// ==================== KILLZONE 07 ====================
use_kz07 = input.bool(true, "06:00-07:00", inline = "KZ07", group = g_KZ)
kz07_txt = input.string("06-07", "", inline = "KZ07", group = g_KZ)
kz07 = input.session("0600-0700", "", inline = "KZ07", group = g_KZ)
kz07_color = input.color(color.blue, "", inline = "KZ07", group = g_KZ)
// ==================== KILLZONE 08 ====================
use_kz08 = input.bool(true, "07:00-08:00", inline = "KZ08", group = g_KZ)
kz08_txt = input.string("07-08", "", inline = "KZ08", group = g_KZ)
kz08 = input.session("0700-0800", "", inline = "KZ08", group = g_KZ)
kz08_color = input.color(color.blue, "", inline = "KZ08", group = g_KZ)
// ==================== KILLZONE 09 ====================
use_kz09 = input.bool(true, "08:00-09:00", inline = "KZ09", group = g_KZ)
kz09_txt = input.string("08-09", "", inline = "KZ09", group = g_KZ)
kz09 = input.session("0800-0900", "", inline = "KZ09", group = g_KZ)
kz09_color = input.color(color.blue, "", inline = "KZ09", group = g_KZ)
// ==================== KILLZONE 10 ====================
use_kz10 = input.bool(true, "09:00-10:00", inline = "KZ10", group = g_KZ)
kz10_txt = input.string("09-10", "", inline = "KZ10", group = g_KZ)
kz10 = input.session("0900-1000", "", inline = "KZ10", group = g_KZ)
kz10_color = input.color(color.blue, "", inline = "KZ10", group = g_KZ)
// ==================== KILLZONE 11 ====================
use_kz11 = input.bool(true, "10:00-11:00", inline = "KZ11", group = g_KZ)
kz11_txt = input.string("10-11", "", inline = "KZ11", group = g_KZ)
kz11 = input.session("1000-1100", "", inline = "KZ11", group = g_KZ)
kz11_color = input.color(color.blue, "", inline = "KZ11", group = g_KZ)
// ==================== KILLZONE 12 ====================
use_kz12 = input.bool(true, "11:00-12:00", inline = "KZ12", group = g_KZ)
kz12_txt = input.string("11-12", "", inline = "KZ12", group = g_KZ)
kz12 = input.session("1100-1200", "", inline = "KZ12", group = g_KZ)
kz12_color = input.color(color.blue, "", inline = "KZ12", group = g_KZ)
// ==================== KILLZONE 13 ====================
use_kz13 = input.bool(true, "12:00-13:00", inline = "KZ13", group = g_KZ)
kz13_txt = input.string("12-13", "", inline = "KZ13", group = g_KZ)
kz13 = input.session("1200-1300", "", inline = "KZ13", group = g_KZ)
kz13_color = input.color(color.blue, "", inline = "KZ13", group = g_KZ)
// ==================== KILLZONE 14 ====================
use_kz14 = input.bool(true, "13:00-14:00", inline = "KZ14", group = g_KZ)
kz14_txt = input.string("13-14", "", inline = "KZ14", group = g_KZ)
kz14 = input.session("1300-1400", "", inline = "KZ14", group = g_KZ)
kz14_color = input.color(color.blue, "", inline = "KZ14", group = g_KZ)
// ==================== KILLZONE 15 ====================
use_kz15 = input.bool(true, "14:00-15:00", inline = "KZ15", group = g_KZ)
kz15_txt = input.string("14-15", "", inline = "KZ15", group = g_KZ)
kz15 = input.session("1400-1500", "", inline = "KZ15", group = g_KZ)
kz15_color = input.color(color.blue, "", inline = "KZ15", group = g_KZ)
// ==================== KILLZONE 16 ====================
use_kz16 = input.bool(true, "15:00-16:00", inline = "KZ16", group = g_KZ)
kz16_txt = input.string("15-16", "", inline = "KZ16", group = g_KZ)
kz16 = input.session("1500-1600", "", inline = "KZ16", group = g_KZ)
kz16_color = input.color(color.blue, "", inline = "KZ16", group = g_KZ)
// ==================== KILLZONE 17 ====================
use_kz17 = input.bool(true, "16:00-17:00", inline = "KZ17", group = g_KZ)
kz17_txt = input.string("16-17", "", inline = "KZ17", group = g_KZ)
kz17 = input.session("1600-1700", "", inline = "KZ17", group = g_KZ)
kz17_color = input.color(color.blue, "", inline = "KZ17", group = g_KZ)
// ==================== KILLZONE 18 ====================
use_kz18 = input.bool(true, "17:00-18:00", inline = "KZ18", group = g_KZ)
kz18_txt = input.string("17-18", "", inline = "KZ18", group = g_KZ)
kz18 = input.session("1700-1800", "", inline = "KZ18", group = g_KZ)
kz18_color = input.color(color.blue, "", inline = "KZ18", group = g_KZ)
// ==================== KILLZONE 19 ====================
use_kz19 = input.bool(true, "18:00-19:00", inline = "KZ19", group = g_KZ)
kz19_txt = input.string("18-19", "", inline = "KZ19", group = g_KZ)
kz19 = input.session("1800-1900", "", inline = "KZ19", group = g_KZ)
kz19_color = input.color(color.blue, "", inline = "KZ19", group = g_KZ)
// ==================== KILLZONE 20 ====================
use_kz20 = input.bool(true, "19:00-20:00", inline = "KZ20", group = g_KZ)
kz20_txt = input.string("19-20", "", inline = "KZ20", group = g_KZ)
kz20 = input.session("1900-2000", "", inline = "KZ20", group = g_KZ)
kz20_color = input.color(color.blue, "", inline = "KZ20", group = g_KZ)
// ==================== KILLZONE 21 ====================
use_kz21 = input.bool(true, "20:00-21:00", inline = "KZ21", group = g_KZ)
kz21_txt = input.string("20-21", "", inline = "KZ21", group = g_KZ)
kz21 = input.session("2000-2100", "", inline = "KZ21", group = g_KZ)
kz21_color = input.color(color.blue, "", inline = "KZ21", group = g_KZ)
// ==================== KILLZONE 22 ====================
use_kz22 = input.bool(true, "21:00-22:00", inline = "KZ22", group = g_KZ)
kz22_txt = input.string("21-22", "", inline = "KZ22", group = g_KZ)
kz22 = input.session("2100-2200", "", inline = "KZ22", group = g_KZ)
kz22_color = input.color(color.blue, "", inline = "KZ22", group = g_KZ)
// ==================== KILLZONE 23 ====================
use_kz23 = input.bool(true, "22:00-23:00", inline = "KZ23", group = g_KZ)
kz23_txt = input.string("22-23", "", inline = "KZ23", group = g_KZ)
kz23 = input.session("2200-2300", "", inline = "KZ23", group = g_KZ)
kz23_color = input.color(color.blue, "", inline = "KZ23", group = g_KZ)
// ==================== KILLZONE 24 ====================
use_kz24 = input.bool(true, "23:00-00:00", inline = "KZ24", group = g_KZ)
kz24_txt = input.string("23-00", "", inline = "KZ24", group = g_KZ)
kz24 = input.session("2300-0000", "", inline = "KZ24", group = g_KZ)
kz24_color = input.color(color.blue, "", inline = "KZ24", group = g_KZ)
// ==================== KILLZONE 25 ====================
use_kz25 = input.bool(true, "17:00-21:00", inline = "KZ25", group = g_KZ)
kz25_txt = input.string("17-21", "", inline = "KZ25", group = g_KZ)
kz25 = input.session("1700-2100", "", inline = "KZ25", group = g_KZ)
kz25_color = input.color(color.orange, "", inline = "KZ25", group = g_KZ)
// ==================== KILLZONE 26 ====================
use_kz26 = input.bool(true, "21:00-01:00", inline = "KZ26", group = g_KZ)
kz26_txt = input.string("21-01", "", inline = "KZ26", group = g_KZ)
kz26 = input.session("2100-0100", "", inline = "KZ26", group = g_KZ)
kz26_color = input.color(color.aqua, "", inline = "KZ26", group = g_KZ)
// ==================== KILLZONE 27 ====================
use_kz27 = input.bool(true, "01:00-05:00", inline = "KZ27", group = g_KZ)
kz27_txt = input.string("01-05", "", inline = "KZ27", group = g_KZ)
kz27 = input.session("0100-0500", "", inline = "KZ27", group = g_KZ)
kz27_color = input.color(color.green, "", inline = "KZ27", group = g_KZ)
// ==================== KILLZONE 28 ====================
use_kz28 = input.bool(true, "05:00-09:00", inline = "KZ28", group = g_KZ)
kz28_txt = input.string("05-09", "", inline = "KZ28", group = g_KZ)
kz28 = input.session("0500-0900", "", inline = "KZ28", group = g_KZ)
kz28_color = input.color(color.yellow, "", inline = "KZ28", group = g_KZ)
// ==================== KILLZONE 29 ====================
use_kz29 = input.bool(true, "09:00-13:00", inline = "KZ29", group = g_KZ)
kz29_txt = input.string("09-13", "", inline = "KZ29", group = g_KZ)
kz29 = input.session("0900-1300", "", inline = "KZ29", group = g_KZ)
kz29_color = input.color(color.red, "", inline = "KZ29", group = g_KZ)
// ==================== KILLZONE 30 ====================
use_kz30 = input.bool(true, "13:00-17:00", inline = "KZ30", group = g_KZ)
kz30_txt = input.string("13-17", "", inline = "KZ30", group = g_KZ)
kz30 = input.session("1300-1700", "", inline = "KZ30", group = g_KZ)
kz30_color = input.color(color.purple, "", inline = "KZ30", group = g_KZ)
var g_LABELS = "Killzone Pivots"
show_pivots = input.bool(false, "Show Pivots", inline = "PV", group = g_LABELS)
use_alerts = input.bool(false, "Alert Broken Pivots", inline = "PV", tooltip = "The desired killzones must be enabled at the time that an alert is created, along with the show pivots option, in order for alerts to work", group = g_LABELS)
show_midpoints = input.bool(false, "Show Pivot Midpoints", inline = "mp", group = g_LABELS)
stop_midpoints = input.bool(false, "Stop Once Mitigated", inline = "mp", group = g_LABELS)
show_labels = input.bool(false, "Show Pivot Labels", inline = "LB", tooltip = "Show labels denoting each killzone's high and low. Optionally choose to show the price of each level. Right side will show labels on the right-hand side of the chart until they are reached", group = g_LABELS)
label_price = input.bool(false, "Display Price", inline = "LB", group = g_LABELS)
label_right = input.bool(false, "Right Side", inline = "LB", group = g_LABELS)
ext_pivots = input.string("Until Mitigated", "Extend Pivots...", options = , group = g_LABELS)
ext_which = input.string("All", "...From Which Sessions", options = , group = g_LABELS)
ash_str = input.string("AS.H", "Killzone 1 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 2 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 3 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 4 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 5 Labels", inline = "L_NP", group = g_LABELS)
npl_str = input.string("NYPM.L", "", inline = "L_NP", 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(false, "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"
sep_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_DWM)
alert_HL = input.bool(false, "Alert High/Low Break", tooltip = "Alert when any selected highs and lows are traded through. The desired timeframe's high/low option must be enabled at the time that an alert is created", group = g_DWM)
show_d_open = input.bool(false, "D Open", inline = "DO", group = g_DWM)
dhl = input.bool(false, "High/Low", inline = "DO", tooltip = "", group = g_DWM)
ds = input.bool(false, "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(false, "W Open", inline = "WO", group = g_DWM)
whl = input.bool(false, "High/Low", inline = "WO", tooltip = "", group = g_DWM)
ws = input.bool(false, "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(false, "M Open", inline = "MO", group = g_DWM)
mhl = input.bool(false, "High/Low", inline = "MO", tooltip = "", group = g_DWM)
ms = input.bool(false, "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 = 'Solid', title = "Style", options = , inline = "D0", group = g_DWM))
htf_width = input.int(1, "", inline = "D0", group = g_DWM)
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)
dow_hide_wknd = input.bool(false, "Hide Weekend Labels", group = g_DWM)
var g_OPEN = "Opening Prices"
open_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_OPEN)
use_h1 = input.bool(false, "", inline = "H1", group = g_OPEN)
h1_text = input.string("18:00 H12/H8/H6/H4", "", inline = "H1", group = g_OPEN)
h1 = input.session("1800-1801", "", inline = "H1", group = g_OPEN)
h1_color = input.color(color.black, "", inline = "H1", group = g_OPEN)
use_h2 = input.bool(false, "", inline = "H2", group = g_OPEN)
h2_text = input.string("06:00 H12/H6/H4", "", inline = "H2", group = g_OPEN)
h2 = input.session("0600-0601", "", inline = "H2", group = g_OPEN)
h2_color = input.color(color.black, "", inline = "H2", group = g_OPEN)
use_h3 = input.bool(false, "", inline = "H3", group = g_OPEN)
h3_text = input.string("10:00 H8/H4", "", inline = "H3", group = g_OPEN)
h3 = input.session("1000-1001", "", inline = "H3", group = g_OPEN)
h3_color = input.color(color.black, "", inline = "H3", group = g_OPEN)
use_h4 = input.bool(false, "", inline = "H4", group = g_OPEN)
h4_text = input.string("02:00 H8/H4", "", inline = "H4", group = g_OPEN)
h4 = input.session("0200-0201", "", inline = "H4", group = g_OPEN)
h4_color = input.color(color.black, "", inline = "H4", group = g_OPEN)
use_h5 = input.bool(false, "", inline = "H5", group = g_OPEN)
h5_text = input.string("00:00 H6", "", inline = "H5", group = g_OPEN)
h5 = input.session("0000-0001", "", inline = "H5", group = g_OPEN)
h5_color = input.color(color.black, "", inline = "H5", group = g_OPEN)
use_h6 = input.bool(false, "", inline = "H6", group = g_OPEN)
h6_text = input.string("12:00 H6", "", inline = "H6", group = g_OPEN)
h6 = input.session("1200-1201", "", inline = "H6", group = g_OPEN)
h6_color = input.color(color.black, "", inline = "H6", group = g_OPEN)
use_h7 = input.bool(false, "", inline = "H7", group = g_OPEN)
h7_text = input.string("22:00 H4", "", inline = "H7", group = g_OPEN)
h7 = input.session("2200-2201", "", inline = "H7", group = g_OPEN)
h7_color = input.color(color.black, "", inline = "H7", group = g_OPEN)
use_h8 = input.bool(false, "", inline = "H8", group = g_OPEN)
h8_text = input.string("14:00 H4", "", inline = "H8", group = g_OPEN)
h8 = input.session("1400-1401", "", inline = "H8", group = g_OPEN)
h8_color = input.color(color.black, "", inline = "H8", 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"
v_unlimited = input.bool(false, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_VERTICAL)
use_v1 = input.bool(false, "", inline = "V1", group = g_VERTICAL)
v1 = input.session("0000-0001", "", inline = "V1", group = g_VERTICAL)
v1_color = input.color(color.black, "", 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(color.black, "", 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(color.black, "", 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(color.black, "", 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
array _box
array _hi_line
array _md_line
array _lo_line
array _hi_label
array _lo_label
array _hi_valid
array _md_valid
array _lo_valid
array _range_store
float _range_current
type hz
array LN
array LB
array CO
type dwm_hl
array hi_line
array lo_line
array hi_label
array lo_label
bool hit_high = false
bool hit_low = false
type dwm_info
string tf
float o = na
float h = na
float l = na
float ph = na
float pl = na
type lines_helper
hz _hz
string h
string h_text
color h_color
initLines() =>
array res = array.new()
if use_h1
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h1, h1_text, h1_color))
if use_h2
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h2, h2_text, h2_color))
if use_h3
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h3, h3_text, h3_color))
if use_h4
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h4, h4_text, h4_color))
if use_h5
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h5, h5_text, h5_color))
if use_h6
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h6, h6_text, h6_color))
if use_h7
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h7, h7_text, h7_color))
if use_h8
res.push(lines_helper.new(hz.new(array.new_line(), array.new_label(), array.new_bool()), h8, h8_text, h8_color))
res
var array lines = initLines()
type kz_helper
kz _kz
string session
color c
string box_txt
string hi_txt
string lo_txt
initKZ() =>
array res = array.new()
if use_kz01
res.push(kz_helper.new(
kz.new(kz01_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()),
kz01, kz01_color, kz01_txt, "KZ01.H", "KZ01.L"
))
if use_kz02
res.push(kz_helper.new(
kz.new(kz02_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()),
kz02, kz02_color, kz02_txt, "KZ02.H", "KZ02.L"
))
if use_kz03
res.push(kz_helper.new(
kz.new(kz03_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()),
kz03, kz03_color, kz03_txt, "KZ03.H", "KZ03.L"
))
if use_kz04
res.push(kz_helper.new(
kz.new(kz04_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()),
kz04, kz04_color, kz04_txt, "KZ04.H", "KZ04.L"
))
if use_kz05
res.push(kz_helper.new(
kz.new(kz05_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()),
kz05, kz05_color, kz05_txt, "KZ05.H", "KZ05.L"
))
if use_kz06
res.push(kz_helper.new(
kz.new(kz06_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()),
kz06, kz06_color, kz06_txt, "KZ06.H", "KZ06.L"
))
if use_kz07
res.push(kz_helper.new(
kz.new(kz07_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()),
kz07, kz07_color, kz07_txt, "KZ07.H", "KZ07.L"
))
if use_kz08
res.push(kz_helper.new(
kz.new(kz08_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()),
kz08, kz08_color, kz08_txt, "KZ08.H", "KZ08.L"
))
if use_kz09
res.push(kz_helper.new(
kz.new(kz09_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()),
kz09, kz09_color, kz09_txt, "KZ09.H", "KZ09.L"
))
if use_kz10
res.push(kz_helper.new(
kz.new(kz10_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()),
kz10, kz10_color, kz10_txt, "KZ10.H", "KZ10.L"
))
if use_kz11
res.push(kz_helper.new(
kz.new(kz11_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()),
kz11, kz11_color, kz11_txt, "KZ11.H", "KZ11.L"
))
if use_kz12
res.push(kz_helper.new(
kz.new(kz12_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()),
kz12, kz12_color, kz12_txt, "KZ12.H", "KZ12.L"
))
if use_kz13
res.push(kz_helper.new(
kz.new(kz13_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()),
kz13, kz13_color, kz13_txt, "KZ13.H", "KZ13.L"
))
if use_kz14
res.push(kz_helper.new(
kz.new(kz14_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()),
kz14, kz14_color, kz14_txt, "KZ14.H", "KZ14.L"
))
if use_kz15
res.push(kz_helper.new(
kz.new(kz15_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()),
kz15, kz15_color, kz15_txt, "KZ15.H", "KZ15.L"
))
if use_kz16
res.push(kz_helper.new(
kz.new(kz16_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()),
kz16, kz16_color, kz16_txt, "KZ16.H", "KZ16.L"
))
if use_kz17
res.push(kz_helper.new(
kz.new(kz17_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()),
kz17, kz17_color, kz17_txt, "KZ17.H", "KZ17.L"
))
if use_kz18
res.push(kz_helper.new(
kz.new(kz18_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()),
kz18, kz18_color, kz18_txt, "KZ18.H", "KZ18.L"
))
if use_kz19
res.push(kz_helper.new(
kz.new(kz19_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()),
kz19, kz19_color, kz19_txt, "KZ19.H", "KZ19.L"
))
if use_kz20
res.push(kz_helper.new(
kz.new(kz20_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()),
kz20, kz20_color, kz20_txt, "KZ20.H", "KZ20.L"
))
if use_kz21
res.push(kz_helper.new(
kz.new(kz21_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()),
kz21, kz21_color, kz21_txt, "KZ21.H", "KZ21.L"
))
if use_kz22
res.push(kz_helper.new(
kz.new(kz22_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()),
kz22, kz22_color, kz22_txt, "KZ22.H", "KZ22.L"
))
if use_kz23
res.push(kz_helper.new(
kz.new(kz23_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()),
kz23, kz23_color, kz23_txt, "KZ23.H", "KZ23.L"
))
if use_kz24
res.push(kz_helper.new(
kz.new(kz24_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()),
kz24, kz24_color, kz24_txt, "KZ24.H", "KZ24.L"
))
if use_kz25
res.push(kz_helper.new(
kz.new(kz25_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()),
kz25, kz25_color, kz25_txt, "KZ25.H", "KZ25.L"
))
if use_kz26
res.push(kz_helper.new(
kz.new(kz26_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()),
kz26, kz26_color, kz26_txt, "KZ26.H", "KZ26.L"
))
if use_kz27
res.push(kz_helper.new(
kz.new(kz27_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()),
kz27, kz27_color, kz27_txt, "KZ27.H", "KZ27.L"
))
if use_kz28
res.push(kz_helper.new(
kz.new(kz28_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()),
kz28, kz28_color, kz28_txt, "KZ28.H", "KZ28.L"
))
if use_kz29
res.push(kz_helper.new(
kz.new(kz29_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()),
kz29, kz29_color, kz29_txt, "KZ29.H", "KZ29.L"
))
if use_kz30
res.push(kz_helper.new(
kz.new(kz30_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()),
kz30, kz30_color, kz30_txt, "KZ30.H", "KZ30.L"
))
res
var array _kz = initKZ()
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_co = not na(time("", cutoff, gmt_tz))
type ts_helper
string session
array lines
color c
initTS() =>
array res = array.new()
if use_v1
res.push(ts_helper.new(v1, array.new_line(), v1_color))
if use_v2
res.push(ts_helper.new(v2, array.new_line(), v2_color))
if use_v3
res.push(ts_helper.new(v3, array.new_line(), v3_color))
if use_v4
res.push(ts_helper.new(v4, array.new_line(), v4_color))
res
var array ts_data = initTS()
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 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) =>
color.new(c, box_transparency)
get_text_color(color c) =>
color.new(c, text_transparency)
// ---------------------------------------- Functions --------------------------------------------------
// ---------------------------------------- Core Logic --------------------------------------------------
dwm_sep(string tf, bool use, array 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, array lns, array lbls, dwm_info n, color col) =>
if use
if lns.size() > 0
lns.get(0).set_x2(time)
lbls.get(0).set_x(time)
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))
if not sep_unlimited and lns.size() > max_days
lns.pop().delete()
lbls.pop().delete()
dwm_hl(string tf, bool use, dwm_hl hl, dwm_info n, color col) =>
if use
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)
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))
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))
hl.hit_high := false
hl.hit_low := false
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()
if hl.hi_line.size() > 0 and alert_HL
if not hl.hit_high and high > hl.hi_line.get(0).get_y1()
hl.hit_high := true
alert(str.format("Hit P{0}H", tf))
if not hl.hit_low and low < hl.lo_line.get(0).get_y1()
hl.hit_low := true
alert(str.format("Hit P{0}L", tf))
dwm() =>
if tf_limit_is_equal_or_more_chart_tf
// DWM - Separators
dwm_sep("D", ds, d_sep_line, d_color)
dwm_sep("W", ws, w_sep_line, w_color)
dwm_sep("M", ms, m_sep_line, m_color)
// DWM - Open Lines
dwm_open("D", show_d_open, d_line, d_label, d_info, d_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
// DWM - Highs and Lows
dwm_hl("D", dhl, d_hl, d_info, d_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
method vline(ts_helper this) =>
bool t = not na(time("", this.session, gmt_tz))
bool t_prev = not na(time("", this.session, gmt_tz, bars_back = 1))
array arr = this.lines
color col = this.c
if t and not t_prev
arr.unshift(line.new(bar_index, high * 1.0001, bar_index, low, style = vl_style, width = vl_width, extend = extend.both, color = col))
if not v_unlimited
if arr.size() > max_days
arr.pop().delete()
vlines() =>
if tf_limit_is_equal_or_more_chart_tf
for in ts_data
vline(value)
method hz_line(lines_helper this) =>
bool t = not na(time("", this.h, gmt_tz))
bool t_prev = not na(time("", this.h, gmt_tz, bars_back = 1))
hz hz = this._hz
string txt = this.h_text
color col = this.h_color
if t and not t_prev
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))
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 tf_limit_is_equal_or_more_chart_tf
for in lines
hz_line(value)
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()
update_price_string(label L, float P) =>
S = L.get_text()
pre = str.substring(S, 0, str.pos(S, " "))
str.trim(pre)
L.set_text(str.format("{0} ({1})", pre, P))
adjust_in_kz(kz kz, bool t) =>
if t
kzBox0 = kz._box.get(0)
kzBox0.set_right(time)
newTop = math.max(kzBox0.get_top(), high)
kzBox0.set_top(newTop)
newBottom = math.min(kzBox0.get_bottom(), low)
kzBox0.set_bottom(newBottom)
kz._range_current := newTop - newBottom
if show_pivots and kz._hi_line.size() > 0
kzHiLine0 = kz._hi_line.get(0)
kzHiLine0.set_x2(time)
if high > kzHiLine0.get_y1()
kzHiLine0.set_xy1(time, high)
kzHiLine0.set_xy2(time, high)
kzLoLine0 = kz._lo_line.get(0)
kzLoLine0.set_x2(time)
if low < kzLoLine0.get_y1()
kzLoLine0.set_xy1(time, low)
kzLoLine0.set_xy2(time, low)
if show_midpoints
kzMidLine0 = kz._md_line.get(0)
kzMidLine0.set_x2(time)
kzMidLine0.set_xy1(time, math.avg(kzHiLine0.get_y2(), kzLoLine0.get_y2()))
kzMidLine0.set_xy2(time, math.avg(kzHiLine0.get_y2(), kzLoLine0.get_y2()))
if show_labels and kz._hi_label.size() > 0
if label_right
kz._hi_label.get(0).set_x(time)
kz._lo_label.get(0).set_x(time)
if high > kz._hi_label.get(0).get_y()
kz._hi_label.get(0).set_xy(time, high)
if label_price
update_price_string(kz._hi_label.get(0), high)
if low < kz._lo_label.get(0).get_y()
kz._lo_label.get(0).set_xy(time, low)
if label_price
update_price_string(kz._lo_label.get(0), low)
adjust_out_kz(kz kz, bool t, bool t_prev) =>
boxCount = kz._box.size()
if not t and boxCount > 0
if t_prev
array.unshift(kz._range_store, kz._range_current)
if kz._range_store.size() > range_avg
kz._range_store.pop()
if show_pivots and boxCount > 0
for i = 0 to boxCount - 1 by 1
if not ext_current or i == 0
kzHiValid = kz._hi_valid.get(i)
if ext_past or kzHiValid
kz._hi_line.get(i).set_x2(time)
if show_labels and label_right
kz._hi_label.get(i).set_x(time)
if kzHiValid and high > kz._hi_line.get(i).get_y1()
if use_alerts and i == 0
alert('Broke ' + kz._title + ' High', alert.freq_once_per_bar)
kz._hi_valid.set(i, false)
if show_labels and label_right
kz._hi_label.get(i).set_style(label.style_label_down)
else if use_cutoff ? t_co : false
kz._hi_valid.set(i, false)
kzLoValid = kz._lo_valid.get(i)
if ext_past or kzLoValid
kz._lo_line.get(i).set_x2(time)
if show_labels and label_right
kz._lo_label.get(i).set_x(time)
if kzLoValid and low < kz._lo_line.get(i).get_y1()
if use_alerts and i == 0
alert("Broke " + kz._title + " Low", alert.freq_once_per_bar)
kz._lo_valid.set(i, false)
if show_labels and label_right
kz._lo_label.get(i).set_style(label.style_label_up)
else if use_cutoff ? t_co : false
kz._lo_valid.set(i, false)
if show_midpoints and not t
if stop_midpoints ? kz._md_valid.get(i) : true
kz._md_line.get(i).set_x2(time)
if kz._md_valid.get(i) and low <= kz._md_line.get(i).get_y1() and high >= kz._md_line.get(i).get_y1()
kz._md_valid.set(i, false)
else
break
method manage_kz(kz_helper this) =>
kz kz = this._kz
c = this.c
string box_txt = this.box_txt
string hi_txt = this.hi_txt
string lo_txt = this.lo_txt
if tf_limit_is_equal_or_more_chart_tf
t = not na(time("", this.session, gmt_tz))
t_prev = not na(time("", this.session, gmt_tz, bars_back = 1))
if t and not t_prev
_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
_hi_txt = label_price ? str.format('{0} ({1})', hi_txt, high) : hi_txt
_lo_txt = label_price ? str.format('{0} ({1})', lo_txt, low) : lo_txt
if label_right
kz._hi_label.unshift(label.new(time, high, _hi_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_left, 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_left, size = lbl_size))
else
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, t_prev)
for in _kz
manage_kz(value)
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 saturday = "SATURDAY"
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 and not dow_hide_wknd, 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)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 7 and new_day and not dow_hide_wknd, location = dow_top ? location.top : location.bottom, char = '', textcolor = txt_color, text = saturday)
get_min_days_stored() =>
store = array.new_int()
for in _kz
int tmpStoreSize = value._kz._range_store.size()
if tmpStoreSize > 0
store.push(tmpStoreSize)
store.min()
method set_table(table tbl, kz kz, int row, string txt, bool t, color col) =>
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)
for in _kz
set_table(tbl, value._kz, index + 1, value.box_txt, not na(time("", value.session, gmt_tz)), value.c)
// ---------------------------------------- Core Logic --------------------------------------------------
Indicator
NY AM Range SweepAcá va la versión más marketinera, pensada para enganchar en la sección de publicación de PulseWire:
🎯 NY AM Range Sweep — Stop Chasing Fakeouts, Start Trading Confirmed Reversals
Every morning, the New York session sets a trap: liquidity gets swept, retail traders get faked out, and price reverses right after. NY AM Range Sweep is built to help you trade the other side of that trap — with discipline, not guesswork.
🔥 Why traders are switching to this setup:
Instead of jumping in on the first sign of a reversal, this indicator stacks three layers of confirmation before ever flashing a signal — cutting through the noise that catches most traders off guard.
⚙️ How it works:
📍 Session Range — Auto-plots the high/low of the 5:00–9:00 AM NY session, the window where the day's liquidity gets set.
💧 The Sweep — Waits for a confirmed candle close beyond that range, not just a wick fake-out.
✅ 5-Min Confirmation — Requires a full engulfing candle (body and wick) in the direction of the move.
✅ 45-Min Confirmation — Cross-checks the higher timeframe before greenlighting the trade.
Only when all three align does the indicator plot your entry, stop loss, and take profit — automatically, right on the chart.
📊 What you get on every signal:
Clear Buy/Sell labels
Dynamic stop loss tracking the true extreme of the move
Take profit mapped to the opposite side of the AM range
Built-in alerts so you never have to stare at the chart waiting
🕔 Best used on: the 5-minute chart, any instrument that respects the NY AM session — indices, forex, futures.
Trading involves risk. This tool is designed to support your decision-making process, not replace it — always manage risk responsibly.
Indicator
Indicator
KIISKEYROS IPDA INSTITUTIONAL SUITE™
Institutional Market Framework | Smart Money Concepts | ICT® Inspired
The KEYROS IPDA Institutional Suite is a professional market analysis toolkit built around the Interbank Price Delivery Algorithm (IPDA) and institutional price delivery concepts inspired by the ICT methodology.
Rather than relying on traditional technical indicators, the suite helps traders identify where institutions are most likely accumulating, distributing, engineering liquidity, and delivering price.
Main Features
✔ Automatic 20 / 40 / 60-Day IPDA Cycles
✔ Premium & Discount Arrays
✔ Institutional Equilibrium (50%)
✔ Dynamic IPDA Range Projection
✔ ICT Killzone
✔ Liquidity Framework
✔ High Probability Institutional Zones
✔ Clean & Minimal Design
Designed For
• Forex
• Gold (XAUUSD)
• Futures
Any Timeframes
Trading Philosophy
The market moves according to liquidity.
The objective is not to predict price, but to understand where institutions are likely delivering price next.
The KEYROS IPDA Suite provides a structured framework to identify:
• Premium Markets (Sell-side Opportunities)
• Discount Markets (Buy-side Opportunities)
• Equilibrium Reactions
• Institutional Range Expansion
• Liquidity Engineering
• High Probability Price Delivery
Recommended Usage
For best results, combine the IPDA framework with:
• Market Structure
• Liquidity Pools
• Fair Value Gaps (FVG)
• Order Blocks
• SMT Divergence
• Time & Price
Developed by
KEYROS Trading Academy
"Trade with the Institutions, not against them."
Indicator
Currency BroHigher Timeframe Market Structure Tracker. This is used to help you stay aligned in the markets while operating your trades on a weekly basis. This Indicator uses SMC Market Structure techniques to keep track of the higher timeframe trends. Use this everyday when placing trades to help keep you in line for directional bias.
Indicator
SMT AND CISD BY RIZ.FXSMT compares two correlated markets (like NQ vs. ES or EUR/USD vs. GBP/USD) to see if they are out of sync. If one asset makes a new high/low but the other fails to follow, it signals a potential trend reversal or institutional manipulation.
How it marks your chart:
S1 (Stage 1 SMT): Marks the first SMT divergence detected in a price move.
S2 (Stage 2 SMT): Marks a second back-to-back SMT divergence in the same direction.
SSMT: An option in settings to label major Higher-Timeframe SMTs.
Visual Style: Draws a solid orange line connecting the two price swings, with black text sitting cleanly ON TOP of the line.
2. CISD Engine (The Red Lines)
What it does:
CISD (Change in State of Delivery) highlights exact price levels where market momentum flips. It triggers when price breaks and closes beyond the open price of an opposing candle, signaling that market makers are shifting price direction.
How it marks your chart:
Bullish CISD: Placed when price pushes up through a previous down-candle's open price.
Bearish CISD: Placed when price pushes down through a previous up-candle's open price.
Visual Style: Draws a horizontal solid red line with black text on the far RIGHT side showing the timeframe (e.g., 5M Bull CISD).
Indicator
EMA/SMA Classics V1.0 by SRTEMA/SMA Classics V1.0 by SRT
The EMA/SMA Classics indicator was designed to answer one simple question:
"Which side of the market currently has the structural advantage?"
Instead of flooding the chart with buy and sell arrows, this indicator focuses on market structure, trend alignment, and high-quality price action, allowing traders to make their own execution decisions with greater confidence.
Whether you trade Forex, Indices, Commodities or Crypto, this indicator combines multiple market concepts into a clean workflow while remaining highly configurable through both EMA and SMA combinations.
What This Indicator Includes
• Flexible EMA / SMA Engine
Unlike traditional moving average indicators that are locked to one MA type, every moving average in this indicator can independently be configured as either:
EMA
SMA
Default settings:
MA 1 : 7
MA 2 : 40
MA 3 : 150
MA 4 : 200
You may use the default configuration or customise the periods to fit your own trading methodology.
• Dynamic Moving Average Stack Detection
The indicator continuously evaluates whether the visible moving averages are properly stacked.
Bullish Stack
Fast MA > Medium MA > Slow MA
Bearish Stack
Fast MA < Medium MA < Slow MA
When the moving averages lose their proper order, the market is treated as neutral instead of forcing a directional bias.
This helps reduce many false trend signals that occur during consolidations.
• ATR-Based MA Spacing Filter
One common problem with MA strategies is entering when all moving averages have already compressed together.
This indicator measures the spacing between moving averages using ATR.
When the moving averages become too compressed, trend quality deteriorates.
The spacing filter helps identify these lower-quality environments before momentum fully develops.
• Ladder Structure
One of the core concepts inside this indicator is the Ladder System.
Instead of only observing moving averages, the indicator also evaluates the market using multiple dynamic support and resistance structures.
Resistance
R9
R40
R70
R100
R150
Support
S9
S40
S70
S100
S150
These levels automatically update with market structure and are used to generate an additional Ladder Bias.
When both the moving averages and Ladder Bias agree, market structure is generally stronger than relying on moving averages alone.
• Flush Dot System
The indicator displays visual Flush Dots beneath or above candles whenever trend alignment exists.
Small Green Dot
Bullish MA alignment.
Small Red Dot
Bearish MA alignment.
Large Green Dot
Moving Average alignment + Bullish Ladder confirmation.
Large Red Dot
Moving Average alignment + Bearish Ladder confirmation.
The larger dots represent stronger structural agreement across multiple components.
• KeyBar Detection
The indicator automatically identifies two important price action patterns.
Engulfing Bars
Bullish Engulfing (EBull)
Bearish Engulfing (EBear)
These are filtered using ATR and minimum body size to avoid insignificant candles.
Long Tail Bars (LTB)
Bullish Long Tail Bars
Bearish Long Tail Bars
These identify strong rejection candles with defined tail proportions and body positioning.
An optional body-size filter is also available for traders wanting stricter candle selection.
Daily Pivot (DP)
Automatically plots the previous day's pivot.
Useful as:
Dynamic support
Dynamic resistance
Intraday reaction level
Weekly Pivot (WP)
Automatically plots the previous week's pivot.
Many swing traders use weekly pivots as major reaction zones throughout the trading week.
RSI Momentum Alerts
The indicator includes two independent RSI event types.
RSI Breakout
Signals when RSI breaks into extreme momentum territory.
Bullish breakout
Bearish breakout
RSI Retracement
Designed to identify momentum continuation after RSI exits an extreme condition while confirming with the RSI Moving Average.
These alerts can be useful for traders looking to participate after momentum has begun to recover instead of chasing extremes.
Information Panel
A compact table summarises the current market condition.
Displays:
Moving Average Bias
Ladder Bias
Long Tail Bar presence
This provides a quick snapshot without needing to inspect every component individually.
How To Use This Indicator
This indicator is not designed to generate automatic Buy or Sell signals.
Instead, it acts as a Market Context Indicator.
A typical workflow may look like this:
Step 1
Observe whether the moving averages are properly stacked.
A clean stack generally indicates directional order.
Step 2
Check whether the Ladder Bias agrees with the moving averages.
When both align, the market structure is generally stronger.
Step 3
Watch for KeyBars.
Examples include:
Bullish Engulfing
Bearish Engulfing
Bullish Long Tail Bar
Bearish Long Tail Bar
These often represent meaningful reactions within the prevailing structure.
Step 4
Use Daily Pivot and Weekly Pivot as areas where price may react.
These levels should be considered areas of interest rather than guaranteed reversal zones.
Step 5
Monitor RSI alerts for momentum shifts.
Momentum signals are generally more useful when they occur in the same direction as the prevailing market structure.
Suitable Timeframes
Although the indicator can be applied to multiple chart intervals, it generally performs best on:
M15
M30
H1
H4
Daily
The moving averages, Ladder System, and KeyBar detection adapt naturally across different timeframes.
Difference Between EMA/SMA Classics & H1 EMA/SMA + Higher Timeframe Analysis (Classic)
Although both indicators belong to the same ecosystem, they serve different purposes.
EMA/SMA Classics
Designed as a general-purpose structural trend indicator.
Features include:
Flexible EMA/SMA stacking
Ladder System
Flush Dots
Engulfing Bars
Long Tail Bars
Daily Pivot
Weekly Pivot
RSI Alerts
It can be used on virtually any timeframe and is ideal for traders who prefer to analyse the chart directly.
H1 EMA/SMA + Higher Timeframe Analysis (Classic)
The H1 version is a significantly more advanced market context engine.
In addition to everything above, it introduces:
Dedicated H1 Bias Engine
H4 Trend Analysis
Daily Trend Analysis
Higher Timeframe Bias Aggregation
H1TF Composite Bias
Overall Market Verdict Engine
Multi-layer Bias Table
Higher Timeframe Confirmation Workflow
Rather than focusing solely on the current chart, the H1 version continuously evaluates whether multiple timeframes are aligned before presenting an overall market verdict.
If the EMA/SMA Classics indicator answers:
"What is my current chart doing?"
Then the H1 version answers:
"What is the broader market structure telling me across multiple timeframes?"
The two indicators are complementary and can be used together depending on your preferred trading workflow.
Disclaimer
This indicator is designed to assist with market structure analysis and decision-making. It does not provide financial advice or guarantee profitable trades. Always combine indicator signals with sound risk management, personal analysis, and appropriate position sizing.
Indicator
Razor Fractal MirrorHistorical analog projection and market-state intelligence
Razor Fractal Mirror scans the recent history of the current chart for past price structures that resemble what's happening right now, then projects how those historical structures resolved forward in time — as a probabilistic scenario, not a prediction.
What It Does
1. Structure Matching
The indicator normalizes the last Pattern Length bars (log-return or percent-change shape, user's choice) and compares that shape against thousands of historical windows going back up to the configured Historical Search Depth. Each candidate is scored on three components:
• Shape correlation — how closely the normalized price path matches
• Normalized error — RMSE between the current and candidate paths
• Regime compatibility (optional) — whether the candidate occurred in a similar trend/volatility regime, measured via EMA distance and ATR-normalized volatility
These three scores combine into a single composite similarity score, weighted by user-configurable inputs.
2. Analog Selection
The engine keeps the three strongest, non-overlapping matches — minimum spacing is enforced so it isn't just picking adjacent bars of the same move — that clear the minimum similarity threshold.
3. Forward Projection
For each matched analog, the indicator replays what price actually did in the bars after that historical structure, rescaled proportionally to the current price. These are blended into a similarity-weighted consensus path, with the individual analog paths shown as secondary "mirror" lines and a confidence cloud representing the spread between them.
4. Mirror Quality Scoring
A composite 0–100 score (graded A+ through D) built from average similarity, regime match, path stability (agreement between analogs plus cloud compactness), and outcome reliability (historical reward-to-risk and target-hit rates from those same analogs).
5. Decision Layer
Combines Mirror Quality, analog agreement, projected move size (in ATR), and optional multi-timeframe bias fusion (four configurable timeframes) into a state: ACTIONABLE, WATCH, or AVOID. Includes early and confirmation checkpoints plus a calculated invalidation level.
6. Live Lifecycle Tracking
Once a mirror is locked, the indicator tracks price adherence to the projected path bar-by-bar, flags drift or invalidation in real time, and records the eventual outcome into a rolling forecast library. That library feeds an adaptive "analog reputation" score that adjusts future decision scoring based on how this specific setup's projections have actually performed — and reports whether the model is trending IMPROVING, STABLE, or DEGRADING.
7. Projection Anchoring
Three modes control how projections behave once drawn: Locked Snapshot (freezes the projection at capture so it doesn't repaint as price moves), Hybrid (controlled refresh), and Live Projection (recalculates continuously).
Why It's Useful
Most "pattern matching" tools just eyeball similar-looking chart shapes. This engine quantifies similarity mathematically (correlation, error, and regime fit), requires multiple independent historical analogs to agree before calling a setup actionable, and — critically — tracks its own projections against real subsequent price action so traders can see adherence, drift, and invalidation as they happen rather than only in hindsight.
Why It's Unique
• Analog selection uses a three-factor composite score, not simple pattern-shape correlation alone.
• Self-tracking forecasts: locked projections are graded against real outcomes and feed an adaptive reputation score — the tool has a memory of its own track record.
• Snapshot anchoring prevents repainting of the displayed projection, addressing a common criticism of analog and projection-style indicators.
• Multi-timeframe fusion cross-checks the projected direction against bias and confidence readings from four additional timeframes before flagging a setup actionable.
Important Notes
Historical similarity does not guarantee a repeated outcome. Projections are analytical scenarios derived from historical analog behavior, not financial advice or a guarantee of future price action. Always combine with proper risk management and a trade plan.
Indicator
bmsAMict1this is my ict am model i use for setting up my lines wihtout having to do it every day hope you like this
Indicator
bmsAMict3this is my ict am model i use for dailyset ups . im still working on it so i wil update as i improve it
Indicator
bmsAMictmy am ict model with daily set ups its still a work in progress but i wil keep updating as it goes on
Indicator
Fib Trend & Legs (BoaBias)█ OVERVIEW
Fib Trend & Legs (BoaBias) draws Fibonacci structure on two nested scales at once: a parent fib across the full market-structure trend cycle (trend-up ↔ trend-down), and child fibs on the BOS / CHoCH swing legs inside that trend. Optional golden / deep zones plus a CT-fade Edge panel (ALMA overheat · MTF EMA overheat · fib-anchored VWAP · golden proximity) with matching overlays. Structural context for discretionary work and alert workflows — not a black-box signal service.
█ WHY UNIQUE
Most Fib tools lock to a single hand-picked or last-swing range. This map keeps parent trend and child legs alive together : the parent tracks the whole structure trend cycle while child legs lock on each confirmed BOS/CHoCH segment (plus an optional forming leg). The Edge panel is a CT-fade confluence over that map: ALMA run overheat and MTF EMA above/below overheat (same lengths as BoaBias public EMA/ALMA), proximity to the parent golden zone, and a VWAP anchored at the parent fib start — so stretch + pullback context sit on one overlay instead of juggling three scripts.
█ HOW TO USE
First use: If the indicator appears in the wrong scale (squashed or fullscreen), right-click the indicator → Pin to scale → Pin to right scale.
Leave Show Parent Fib and Show Child Fibs on; tune Pivot Length so swings match your timeframe (higher length = fewer, larger structure events).
Watch Golden Zone / Deep Zone on the parent for pullback context; enable the same zones on child legs when you trade inside-leg retracements.
Use Pattern Edge (top-right) for parent-fib CT-fade confluence and Child Edge (bottom-left) for the active leg — high when pullback-side ALMA/EMA is stretched into golden near fib VWAP. Not a standalone entry trigger.
Alerts: Chart → Create alert → this indicator → choose a condition (Golden/Deep entry, Strong Edge, Cross Fib VWAP, Break 0%, Full Retrace, Trend Up/Down, BOS, Upsweep/Dnsweep). Prefer Once per bar close for cleaner automation.
█ HOW IT WORKS
Market structure: Pivot highs/lows feed a trend state. Trend flips (and BOS / CHoCH / optional liquidity sweeps) define when ranges update. Algorithm mode: Extreme Points or Adjusted Points.
Parent fib (Trend): Anchored to the full active trend cycle — from the cycle origin to the opposing extreme — with retracements, optional extensions, and zone fills between configurable ratios (defaults emphasize 61.8–78.6 golden and 78.6–88.6 deep).
Child fibs (Legs): Each leg = protective origin (CHoCH / last protect wick) → running extreme ( ms.main wick). Locked on BOS with those bars frozen. L1 = newest locked, L2 = previous, Lf = forming. Optional H/L anchor marks show the two wicks. Parent trend flip clears child history.
Edge layer (CT fade): Two panels — Pattern (parent fib) and Child (active leg). Each scores golden proximity (≤25) + ALMA pullback CT (≤25) + EMA pullback CT (≤25) + fib-start VWAP (≤25). ALMA/EMA CT use the chart timeframe only (panel shows e.g. ALMA 1D). For a bull fib, CT scores short / below-EMA stretch; bear fib scores the opposite. Optional plots: chart-TF ALMA SuperTrend, enabled EMAs, Pattern + Child fib VWAPs.
Sweep markers: Optional “x” markers when structure detects upsweep / dnsweep liquidity grabs (style group for color, size, max count).
█ CTA
More BoaBias public Scripts: PulseWire → Goldfinch_song → Scripts .
Ideas that use this stack: profile → Ideas tab.
█ LIMITATIONS
Pivot-based structure lags until pivots confirm; forming parent/child ranges can update until the next structure event.
Fib levels and zones are structural maps , not guaranteed support/resistance or trade signals.
Edge score is a confluence helper on the loaded history — descriptive, not predictive.
Heavy child history + many levels can hit drawing limits — lower Max Completed Child Legs or disable unused levels.
Educational / research overlay. Not financial advice.
Pine Script v6. License: MPL-2.0 .
Indicator
Day-Extreme Reversal SignalsReal-time detector for the bar shapes that historically printed SPY's day low and day high. When a new session extreme forms, it tells you the measured probability that THIS bar holds as the day's extreme - and how those odds differ between 5-minute scouts and hourly signals.
OVERVIEW
Every intraday trader eventually asks the same two questions: "was that the low?" and "is this the high?" This indicator answers them with measured frequencies instead of intuition.
It watches for new session extremes in real time. When one prints, it classifies the bar's shape - reversal close, spring, V-confirm at lows; rejection, high-confirm at highs - and labels it with the historical probability that this specific shape, at this event, held as the day's extreme. A decision panel keeps the session context on screen: where the current extremes sit, when they printed, the odds the day's extreme has already happened given the time of day, and the structural rules for acting on lows versus highs.
The stats were built by real-time simulation - walking bar by bar and asking "would this signal have fired here, and did the extreme hold?" - not by locating day extremes in hindsight and describing them afterward.
WHY THIS IS DIFFERENT
PulseWire has time-of-day extreme statistics: tools that count in which hour or session window daily highs and lows historically print. Those answer "WHEN does the extreme usually happen?"
This script answers a different question: "is THIS bar the extreme?" The probabilities are conditional on an event (a new session extreme printing) and on the shape of the bar that printed it - not on the clock. To my knowledge no public script does event-conditional extreme classification, and none publishes the two findings that drive this tool's usage rules:
1 - The scout/signal hierarchy. The same shapes carry very different weight by timeframe. A 5-minute reversal close at a new session low held as the day low 28% of the time (versus a 14% baseline for any new session low) - interesting, not tradeable alone. The same shape on an HOURLY bar held 64% of the time (versus a 35% hourly baseline) - nearly two-thirds of occurrences marked the day low. The 5m shapes are scouts that put you on alert; the hourly shapes are the signal.
2 - Lows and highs are structurally different animals. In the data, lows are V-shaped: 55% of day lows were never retested within 30 minutes. Highs are processes: 82% of day highs were retested within 30 minutes. The practical asymmetry is baked into the panel - at lows, waiting for a retest usually means missing the trade; at highs, patience is statistically paid for.
THE SHAPES
All shapes evaluate only at a NEW session extreme (or on the bar immediately following one). At lows:
- RevClose - the bar makes a new session low but closes green and in the top third of its range. Sellers broke the floor and were immediately overwhelmed. Strongest low shape on both timeframes (5m: 28% holds; hourly: 64%).
- Spring - new session low with a long lower wick (more than half the bar) and a close off the floor. The push below found no acceptance (5m: 17%; hourly: 55%).
- V-confirm - the bar AFTER a red new-session-low bar opens and closes green above the prior open. Confirmation that the flush reversed (5m: 27%; hourly: 54%).
At highs:
- Reject - new session high with a long upper wick and a close out of the top third. (5m: 11% vs 9% base - barely above baseline; hourly: 47% vs 28% base.)
- HighConf / Confirm - a red bar immediately after a green new-session-high bar. (5m: 12%; hourly: 33%.)
Note what the high-side numbers say: even the best hourly high shape holds less than half the time. Tops are processes, and the script tells you so rather than pretending otherwise.
THE DECISION PANEL
- Current session low and high with their print times (ET).
- Time-of-day odds that the day's extreme has ALREADY printed, interpolated from the measured distribution (37% of lows are in by 10:00 ET, 60% by 11:30; highs run later - 18% by 10:00, with a heavy skew into the final hour).
- A provisional read of what the current, still-forming hourly bar is shaping into.
- The two structural rules, always on screen: lows are V-shaped, do not wait for the retest; highs retest 82% of the time, exits and fades can be patient.
HOW TO USE IT
Work on a 5-minute chart (any intraday timeframe runs; daily charts are rejected with an error).
- A 5m scout triangle at a new session low means: stop, context check. Alone it is a minority bet.
- The teal background band - an hourly low shape confirming - is the signal. Odds the day low is in jump to roughly fifty-fifty or better. Because lows are V-shaped, the statistically supported action is to act on the signal bar rather than wait for a pullback that usually never comes.
- The orange band at highs is a warning, not a green light to fade aggressively: expect a retest attempt, and use it - the second look at a high is where shorts and exits get their fill.
- The time-of-day odds frame everything: a new low printing at 14:30 ET is a rarer, more reliable event than one at 09:45, simply because most days have already made their low by then.
Alerts are provided for the hourly low signal, the hourly high signal, and the strongest 5m scout.
THE DATA, STATED PLAINLY
- Instrument: SPY. Samples: 60 days of 5-minute bars and 730 days of hourly bars.
- Method: real-time simulation. The detector walked forward bar by bar; every firing was recorded with whether that extreme survived as the day's extreme. No hindsight selection.
- Every probability is shown next to its baseline (the hold rate of ANY new session extreme on that timeframe), so you can see the edge, not just the number.
- The percentages are fixed numbers derived from that study, embedded in the script. They are descriptive statistics of a specific instrument over a specific period - not guarantees, and they will drift as market character changes.
- On symbols other than SPY (and index products that track it closely), the shape logic still runs, but the printed percentages do not apply. Treat them as unknown there.
LIMITATIONS
- Hourly signals use confirmed hourly bars (the standard non-repainting idiom - no future data is accessed), so they appear at the close of the hour, not at its low. The "forming" panel row is explicitly provisional and changes until the hour closes.
- 5m labels print on bar confirmation.
- The session-extreme state resets each calendar session; extended-hours settings on your chart change what counts as the session.
- The 60-day 5-minute sample is modest; the hourly sample (roughly two years) is the sturdier one, which is one more reason the hourly shapes are the signal tier.
- This is a probability tool, not an entry system. It quantifies "was that the extreme?" - stops, targets, and sizing are yours.
NOTES
The time-of-day asymmetry the data surfaced - lows early, highs late, lows violent, highs sticky - echoes the old observation running from George Douglass Taylor through Linda Raschke's day-structure work: down moves complete in the morning and buying builds through the day more often than the reverse. This script did not assume that; the simulation found it independently in modern SPY data.
Educational tool, not financial advice.
Indicator
LBR 3/10 + TICK Divergence [ES 2m any chart]Runs Linda Raschke's triple-divergence setup (price + 3/10 oscillator + NYSE TICK) on a fixed ES 2-minute feed and delivers the signals to whatever chart you are actually watching - any symbol, any timeframe.
OVERVIEW
Raschke's "blindfold" setup - price makes a new swing extreme while both the 3/10 oscillator and the NYSE TICK refuse to confirm it - lives on the ES 2-minute chart. But nobody trades staring at one chart all day. You might be on a 15-minute ES chart for structure, on NQ, on SPY, or on an individual stock when the signal fires.
This indicator solves that. The entire signal engine - swing pivots, 3/10 oscillator, divergence logic - executes inside a fixed signal feed (ES 2-min by default) regardless of what chart it is applied to. NYSE TICK bars are streamed separately and joined to the ES pivots by timestamp. When all three legs align, a label prints on YOUR chart, with a tooltip carrying the exact ES time, prices, oscillator readings, and TICK values behind the signal.
Put it on any chart. The signals are always the same signals.
WHY THIS IS DIFFERENT
Two claims, one about the setup and one about the architecture.
The setup. PulseWire has divergence engines and TICK divergence tools, but no public script requires the specific LBR combination - price + 3/10 fast line + NYSE TICK diverging at the same two confirmed swing pivots - as a single gated signal. One leg missing = nothing prints.
The architecture. Multi-timeframe divergence tools on PulseWire scan higher or lower timeframes of the chart's own symbol. This script does something different: the signal computation is pinned to one fixed symbol and timeframe, independent of the chart. That requires running a fully stateful engine (persistent pivot memory, divergence counters) inside the security context and returning only scalars, plus a chart-side rolling ledger that collects 2-min TICK bars - via a lower-timeframe request when your chart is above 2 minutes - and joins them to ES pivot timestamps. I found no other public script that joins three data streams this way to reproduce one fixed setup on arbitrary charts.
THE SIGNAL
A bullish signal requires all of the following at two confirmed swing lows on the signal feed (bearish is the mirror at swing highs):
1 - Price: lower low. The second ES swing low undercuts the first.
2 - 3/10 oscillator: higher low. The fast line (SMA 3 minus SMA 10) is higher at the second pivot. New price lows, no new momentum lows.
3 - NYSE TICK: higher low. The TICK low at the second pivot sits above the TICK low at the first. Program selling across the whole exchange could not match its earlier intensity.
Additional gates: a minimum/maximum spacing window between the two swings, an optional zero-side filter requiring both oscillator readings below zero for bullish signals (above for bearish), and confirmed pivots only - asymmetric pivot strength with a small right side for fast confirmation. All data is requested without lookahead.
HOW TO USE IT
Setup: add to any chart and leave the defaults - CME_MINI:ES1! at 2 minutes as the signal feed, USI:TICK for confirmation. Swap the signal symbol to MES1!, SPX, or SPY if you prefer; swap the TICK symbol to match your data feed. The TICK requirement can be toggled off, leaving a price + 3/10 double divergence.
Reading a signal: the label prints on your chart bar at the moment the ES-side signal confirms. Hover the tooltip for the audit trail: the ES pivot time, both price extremes, both oscillator readings, and both TICK extremes. Execute on the signal feed's market (ES/MES), not necessarily on the symbol you happen to be watching.
The Raschke approach: this is a countertrend scalp against an exhausting move. The label is the condition, not the entry - enter on price confirmation (first strong rotation back in the signal's direction on the 2-min), stop beyond the divergence extreme, first target the middle of the prior swing. Take profits actively; divergence fades an extended move, it does not promise a new trend.
The Grimes perspective: Adam Grimes, who uses the same 3/10, stresses that momentum divergence is only worth fading when the move is overextended. The engine is deliberately minimal, so apply that filter yourself: weight signals that appear after a sustained one-way push - late in a morning sell-off, at a measured-move completion - over signals surfacing in quiet mid-range trade. And even if you never fade anything, a bearish triple divergence firing while you are long is an objective warning that the leg has lost its sponsorship.
FEATURES AND INPUTS
- Signal Feed : symbol and timeframe the engine runs on - fixed, independent of the chart.
- 3/10 Oscillator : fast and slow SMA lengths; zero-side filter toggle.
- Swing Detection : pivot strength left/right (right side sets confirmation lag); min/max spacing between the two swings, measured in signal-feed bars.
- TICK Confirmation : on/off toggle; TICK symbol input.
- Display : bullish and bearish colors.
- Tooltips on every label with the full audit trail from the signal feed.
- Alerts two ways: dynamic alert() messages carrying the exact ES signal time, plus static alertcondition() entries for standard alert dialogs. All fire on confirmed signals only.
LIMITATIONS
- Signals confirm a couple of signal-feed bars after the true swing (confirmed pivots don't repaint, but they lag). On charts slower than the signal timeframe, the label additionally waits for your chart bar to update - a 15-min chart can surface a signal minutes after the 2-min confirmation. For execution timing, alerts fire from the feed, not your chart bar.
- The label anchors to the chart bar where the signal arrived; the tooltip carries the exact signal-feed pivot time and values.
- Lookback is bounded by PulseWire's intraday history for 2-min data and by the script's rolling TICK ledger, so deep history will show fewer signals than a native 2-min chart would.
- TICK is meaningful only for US equities and index products during regular NYSE hours.
- Countertrend by nature: in a runaway trend, price can print divergence after divergence while grinding on. Raschke's own warning - don't hunt divergences in the strongest trends.
- This identifies a condition; it is not an entry system. Trigger, stop, and target are yours.
THANKS
Credit to Linda Bradford Raschke (LBRGroup, Street Smarts) for the 3/10 oscillator and the triple-divergence setup, and to Adam Grimes (The Art and Science of Technical Analysis) for the momentum-divergence framework. Educational tool, not financial advice.
Indicator
Fractal ZigZag with Retest & Filters By WiselyWealthIndicator ; Fractal ZigZag with Retest & Filters
Introduction
Welcome to the comprehensive guide for the 'Fractal ZigZag with Retest & Filters' indicator. This custom-built Pine Script indicator is an advanced technical analysis tool designed explicitly for the PulseWire platform. At its core, the primary objective of this script is to provide traders with high-probability entry signals by systematically filtering out market noise, avoiding false breakouts, and ensuring alignment with the overarching macroeconomic trend.
Many retail traders fall into the trap of entering positions during sudden, volatile price spikes, only to suffer heavy drawdowns when the market naturally pulls back. This script mitigates that risk by enforcing a strict, rules-based approach: identifying structural shifts, confirming the initial breakout, and mathematically demanding a pullback (or "retest") before issuing a final trading signal. Additionally, it features built-in alert conditions, making it perfectly suited for algorithmic traders who wish to automate their strategies via Webhooks, Telegram bots, or MT5 API integrations.
Technical Mechanism
The mechanical operation of this script is multi-layered, relying on a confluence of structural mapping, trend filtering, and volatility-based retest calculations. Here is a detailed, step-by-step technical breakdown of how the script detects and generates its buy and sell signals:
Mapping Market Structure with Williams Fractals:The foundation of the script relies on identifying key swing highs and swing lows using Williams Fractals. By default, the indicator evaluates a 5-bar lookback and look-forward period to pinpoint these structural pivots. Once a valid upward or downward fractal is identified, the script connects them using a dynamic ZigZag line. This creates an unambiguous visual map of the market's underlying structure, cleanly displaying the sequence of higher highs or lower lows.
Initial Breakout Identification: The indicator actively monitors the current closing price in relation to the most recently confirmed fractal levels. A raw bullish breakout is registered the moment a candle closes definitively above the last established fractal high. Conversely, a raw bearish breakout is noted when the closing price drops below the most recent fractal low. To prevent redundant alerts, the script locks the current trend state upon a successful breakout.
The ATR-Based Retest Engine: This is the most sophisticated aspect of the indicator. When "Enable Retest Mode" is activated, the script refuses to issue an immediate entry signal at the exact moment of the breakout. Instead, it uses the Average True Range (ATR) over a 14-period lookback to measure current market volatility. For a bullish setup, it calculates a "Retest Target" by subtracting a user-defined ATR multiplier (default 1.0) from the breakout close price. It then starts a countdown timer, allowing a maximum number of candles (default 3) for the price to drop back down and touch this target. If the pullback is successful within the time limit, the raw buy signal is triggered. If the time expires without a retest, the setup is safely invalidated.
Macro Trend Filtering: Before finalizing any signal, the script consults a 200-period Exponential Moving Average (EMA). If the trend filter is enabled, a buy signal is entirely suppressed unless the closing price is strictly above the EMA200. Sell signals similarly require the price to remain below the EMA200. Users can also force the script into a "Buy Only" or "Sell Only" mode to align with their long-term directional bias.
How to Use and Best Practices
To extract maximum profitability and accuracy from this script, traders must apply the correct settings and deploy it in appropriate market environments.
Recommended Settings and Configuration:
Conservative Swing Trading: Ensure the EMA200 Trend Filter remains enabled to keep you on the side of institutional momentum. You may also want to increase the Fractal Periods from 5 to 7 or 9. This filters out minor price fluctuations and forces the script to base its breakouts on major structural swing points.
Retest Calibration for Volatility:** The default ATR multiplier is 1.0, and the wait limit is 3 candles. If you are trading on lower timeframes (e.g., 5-minute or 15-minute charts), breakouts can take slightly longer to retest. Consider increasing the "Max Candles to wait" to 5 or 6. For highly volatile assets, increasing the ATR Multiplier to 1.5 can help you secure a deeper, more favorable pullback entry.
Directional Lock: If higher timeframe analysis dictates a strong bull market, use the "Trade Direction" setting to restrict signals to "Buy Only," eliminating counter-trend noise during minor market corrections.
Suitable Markets and Timeframes:
Forex and Indices: This indicator performs exceptionally well on major Forex pairs (EUR/USD, GBP/JPY) and Global Indices (US30, NAS100) on the 1-Hour and 4-Hour timeframes. These assets heavily respect market structure, and liquidity grabs (retests) are highly common after structural breakouts.
Cryptocurrency: Bitcoin and Ethereum on the 15-minute to 1-Hour charts are excellent candidates, provided you adjust the ATR multiplier to account for crypto's volatile, whipsaw movements.
Markets to Avoid: Avoid using this script in heavily consolidated, range-bound, or sideways markets. Breakout and trend-continuation logic inherently struggles during prolonged periods of low volatility, where price chops indiscriminately around the 200 EMA without clear directional follow-through.
Indicator
