Monthly Open LineIt's a simple tool I made with the help of grok and SpacemanBTC Key level indicator which marks the monthly open with a line.
It will help you get a visual feel for how the price progresses over the month/s and can help you backtest trends easily.
チャートパターン
Student Wyckoff Target Shooter
**Target Shooter — Equal Move Target Tool (Larry Williams idea)**
**1. What this indicator does**
Target Shooter is a tool that measures the last meaningful price swing and projects an **equal move target** in the direction of the breakout.
The logic is simple:
* The market makes a move from point A to point B (a swing high to a swing low, or vice versa).
* Then price breaks out above or below this swing range.
* Target Shooter takes the size of that swing and **adds it in the direction of the breakout**, showing a logical **price target zone** where the move may:
* slow down,
* react,
* or potentially reverse.
This is a practical implementation of the “Equal Moves” idea often referenced by Larry Williams.
---
**2. Core idea (example)**
Example from the classic explanation:
* Price drops from **80 down to 20** → the move is **60 points**.
* The swing range is now: **High = 80, Low = 20**.
* Later, price **breaks above 80**.
Target Shooter assumes:
> “If the market could move 60 points in one direction, after a breakout it may travel another 60 points in the opposite direction.”
So the upside target becomes:
* Move size: 80 − 20 = 60
* Breakout above 80
* **Target = 80 + 60 = 140**
The indicator finds such swings automatically and draws:
* **UT (Upper Target)** on upside breakouts
* **DT (Down Target)** on downside breakouts
---
**3. What you see on the chart**
1. **Target lines**
* When price breaks **above** a previous swing range, the indicator plots a horizontal **UT (Upper Target)** line — the projected equal move target.
* When price breaks **below** the previous swing range, it plots a **DT (Down Target)** line — the downside target.
* Each line is drawn from the breakout bar and extended to the right for a user-defined number of bars.
2. **Price labels**
* A small label “UT” or “DT” is shown at the end of the line with the exact target price.
* This makes it easy to see where the projected target is without checking the scale.
3. **Optional swing range (debug view)**
* There is an option to display the **swing range** that the target is based on (similar to a Donchian channel on previous bars).
* This shows the upper (swing high) and lower (swing low) boundaries the indicator used to define the last move.
---
**4. Key inputs (plain language)**
* **Swing window length (bars)**
How many bars back the indicator looks to find the last meaningful swing (highest high and lowest low).
This is like the length of a Donchian channel used to define the previous range.
Smaller values → more frequent, shorter targets.
Larger values → bigger swings and more distant targets.
* **Minimum move size (in ticks)**
This is a noise filter.
If the distance between the swing high and swing low is smaller than this threshold, no targets are drawn.
The indicator will only react to moves that are big enough to matter for your trading.
* **Breakout type: Close vs High/Low**
* **Breakout by Close**:
The target appears only when the **bar closes** above/below the swing range.
More conservative and fewer false signals.
* **Breakout by High/Low**:
The target appears as soon as the **high** or **low** of the bar breaks the swing range.
Faster and more aggressive, but more sensitive to noise.
* **Target line length (bars)**
How far to the right the UT/DT lines should be extended.
Shorter length → local target zones.
Longer length → important levels visible far into the future.
* **Appearance settings**
* Separate color, width and style for **UT** and **DT** lines.
* Option to show or hide labels with price and “UT/DT” text.
---
**5. How to use Target Shooter in trading**
> Important: this is **not** an entry signal indicator.
> Target Shooter is a **targeting and context tool**, not a standalone system.
Typical uses:
1. **Planning take-profit zones**
* You already have an entry signal from your own strategy (Wyckoff, Larry Williams patterns, levels, volume, whatever you use).
* Target Shooter shows a **logical equal move target** where the current wave can reasonably “shoot”.
* You can:
* place your main take-profit around the target,
* scale out part of the position,
* tighten stops when price approaches the target.
2. **Finding potential reaction / reversal areas**
* Equal move targets often act as **zones of interest**.
* If price reaches a UT/DT level and then shows weakness/absorption/volume spikes or reversal candles, this might be a good place to take profits or look for counter-trend opportunities (for experienced traders).
3. **Assessing trend strength**
* If price **easily exceeds** the equal move target and keeps going without any reaction, it suggests a very strong trend.
* If price **fails to reach** the target and reverses early, the move is weaker than expected.
---
**6. Timeframes**
Target Shooter can be used on:
* **Intraday** (M5, M15, M30, H1) — for shorter-term targets within the day,
* **Higher timeframes** (H4, D1 and above) — for swing and position trades.
General rule:
The **higher the timeframe and the larger the swing**, the **more important** the target level tends to be.
---
**7. Notes and limitations**
* The indicator does **not** predict the future.
It simply projects a geometric equal move from the last swing.
* It should be combined with your own trading framework:
* support/resistance,
* Wyckoff / VSA,
* trend tools,
* volume/flow, etc.
* Always keep proper risk management.
A target is a **scenario**, not a guarantee.
.
Breakout Pullback Continuation//@version=5
indicator("Breakout Pullback Continuation", overlay=true)
// === Parameters ===
lookback = 20 // Look for breakouts above this many bars
volumeFactor = 1.3 // How much volume needs to exceed average
pullbackDepth = 3 // Max bars to wait for pullback + green
// === Track State ===
var float breakoutLevel = na
var int breakoutBar = na
volumeSMA = ta.sma(volume, 20)
// === Detect Breakout ===
recentHigh = ta.highest(high, lookback)
breakout = close > recentHigh
if breakout
breakoutLevel := close
breakoutBar := bar_index
// === Check for Pullback After Breakout
pullbackOccurred = na(breakoutLevel) ? false : close < breakoutLevel and bar_index > breakoutBar
// === Check for Confirmation Candle
greenCandle = close > open
decentRange = (high - low) > (close * 0.003)
volumeSpike = volume > volumeSMA * volumeFactor
confirmation = pullbackOccurred and greenCandle and decentRange and volumeSpike and (bar_index - breakoutBar <= pullbackDepth)
// === Signal Plot ===
plotshape(confirmation, title="Pullback Continuation", location=location.belowbar, color=color.lime, style=shape.triangleup)
alertcondition(confirmation, title="Breakout Pullback Alert", message="🚀 {{ticker}} breakout-pullback-confirmation at {{close}}")
Momentum Breakout Signal//@version=5
indicator("Momentum Breakout Signal", overlay=true)
// === Breakout Logic ===
length = 20 // Lookback for recent high
recentHigh = ta.highest(high, length)
// === Breakout Condition: Close > prior high
priceBreakout = close > recentHigh
// === Volume Spike Confirmation ===
volumeSMA = ta.sma(volume, 20)
volumeSpike = volume > volumeSMA * 1.3 // Customize sensitivity
// === Optional: Filter for strong candles only
isGreen = close > open
decentRange = (high - low) > (close * 0.003)
// === Final Signal Logic ===
signal = priceBreakout and volumeSpike and isGreen and decentRange
plotshape(signal, title="Breakout Signal", location=location.abovebar, color=color.orange, style=shape.triangleup, size=size.small)
alertcondition(signal, title="Momentum Breakout Alert", message="🚀 {{ticker}} breakout confirmed at {{close}}")
Morning Momentum//@version=5
indicator("Morning Momentum", overlay=true) // This is your one required declaration
// --- Define Time Window ---
startTime = timestamp("2025-11-28T09:30:00")
endTime = timestamp("2025-11-28T10:00:00")
inWindow = time >= startTime and time <= endTime
// --- Define Price Change ---
priceChange = (close - open) / open * 100
// --- Define Volume Spike ---
volumeSMA = ta.sma(volume, 20)
volumeSpike = volume > volumeSMA
// --- Trigger Condition ---
signal = inWindow and priceChange > 2 and volumeSpike
// --- Plot Signal ---
plotshape(signal, title="Momentum Signal", location=location.abovebar, color=color.green, style=shape.triangleup)
ICT/SMC Holy GrailThe Holy Grail, with its backtesting feature to check win rates, is all you need to do when placing orders!
Adaptive Trend Direction Degree (Lax)Trend direction
Trend strength
Momentum
Potential reversal points
BPR (Ballanced price range) DetectorHow This BPR Detector Works
This indicator is designed to detect and visualize balanced price ranges (BPRs) on price charts. The indicator has two main components:
Regular FVG Detection - The indicator first detects regular Fair Value Gaps in price action, which are spaces where price has moved quickly leaving a gap. This is necessary because BPRs are derived from regular FVGs.
BPR Detection - When the price action inverts and moves through a regular FVG in the opposite direction, the indicator identifies this as a BPR. This concept is important in Inner Circle Trader (ICT) methodology as it can signal potential changes in trend direction. Additionally the detection logic is refined by incorporating displacement.
The main functionality preserved includes:
Detection of regular FVGs (required to find BPRs)
Conversion of regular FVGs to BPRs when price moves through them creating a FVG in the opposite direction
Visual display of both FVG and BPR zones
Mitigation tracking for both types of imbalances
Displacement visualization that helps identify energetic price moves
Key Settings
FVG Settings - Control the appearance and behaviour of regular Fair Value Gaps
BPR Settings - Control the appearance of Breaker Price Ranges (which have different colours by default)
Mitigation Settings - Define how the indicator determines when an imbalance has been filled
Displacement Settings - Optional highlighting of energetic price moves that may lead to imbalances
Stock whisperer vol 2Below is your updated, copy-paste ready Pine v5 script with 5 bullish targets and 5 bearish targets.
No broken line wraps. No reserved words. No Pine meltdowns.
MA Crossover Scalper [4H]//@version=5
indicator("MA Crossover Scalper ", overlay=false)
// Market Cap Filter (Volume as proxy)
volumeValid = volume >= 500000 and volume <= 4000000
// MA Crossover System
ma9 = ta.sma(close, 9)
ma21 = ta.sma(close, 21)
bullishCross = ta.crossover(ma9, ma21) and close > ma21
bearishCross = ta.crossunder(ma9, ma21) and close < ma21
// Volume Confirmation
volumeSpike = volume > ta.sma(volume, 20) * 1.3
// Final Signals
bullSignal = bullishCross and volumeSpike and volumeValid
bearSignal = bearishCross and volumeSpike and volumeValid
// Output for Screener
plot(bullSignal ? 1 : 0, "Bull MA Cross", color=color.green)
plot(bearSignal ? 1 : 0, "Bear MA Cross", color=color.red)
Micha Stokes Buyers Breakout Alert v2I added comments starts with EE , where code modifications are needed
DeepClean Linear indicator 1. Indicator Name
DeepClean Linear indicator
2. One-Line Introduction
A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form.
3. Overall Summary
The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window.
Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise.
This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time.
A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal.
Color automatically shifts based on trend:
Bright cyan/teal during bullish conditions
Reddish tones during bearish conditions
Transparency dynamically adjusts depending on strength
The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading.
It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies.
4. Advantages
① Ultra-Clean Noise-Reduced Wave
Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement.
② Trend Direction & Strength at a Glance
Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible.
③ Intuitive Price Overlay Visualization
The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points.
④ Dynamic Transparency Coloring
Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless.
⑤ Excellent Range Filtering
During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries.
⑥ Multi-Timeframe Compatibility
The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes.
📌 Core Concept Overview
The indicator evaluates the relative comparison of linear regression values over the last n periods.
A positive trend value indicates bullish bias
A negative trend value indicates bearish bias
Intensity represents strength and controls wave height
waveTop / waveBot define the visual wave area relative to price
State Values
1 = Bullish Trend
-1 = Bearish Trend
0 = Neutral / Weak Direction
⚙️ Settings Overview
Option Description
Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus.
Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative.
Source Price source for regression calculations.
Linear Reg Length Length of the linear regression.
Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave.
Wave Amplitude (amp) Adjusts the height/thickness of the wave.
Bull/Bear Color Colors for bullish/bearish waves.
Base Transparency Base opacity level; modified dynamically by trend strength.
📈 Bullish Timing Recognition Examples
Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure.
waveTop expands above price, signaling early trend expansion.
State flips to 1, often marking a trend restart or early reversal phase.
A steadily rising wave height suggests sustained bullish momentum.
📉 Bearish Timing Recognition Examples
Wave shifts into red tones, showing bearish dominance.
waveBot expands below price, indicating rising downside volatility.
State stays at -1 while intensity increases, signaling entry into strong downtrend conditions.
A shift from weak → strong bearish intensity can provide short-entry timing cues.
🧪 Recommended Usage
Use as a core component in trend-following systems
Adjust position size based on wave thickness (trend strength)
Combine with RSI/MACD to reduce false signals during overbought/oversold zones
Sudden wave expansion during volatility increases helps detect trend acceleration
In sideways markets, frequent state = 0 readings help avoid low-probability trades
🔒 Important Notes
As a trend-based indicator, it may misread choppy/ranging markets
Because of smoothing, signals may appear slightly delayed
Extreme news volatility can temporarily distort trend clarity
Atlas 8 Currency Session Momentum (6H, London)This indicator calculates real-time currency strength for the 8 major currencies (USD, EUR, GBP, JPY, AUD, NZD, CAD, CHF) using a balanced multi-pair engine and a 6-hour momentum reset.
🔍 How it works
The indicator computes the relative strength of each currency by averaging the percentage change of 7 major cross-pairs for each currency.
A currency's value increases when pairs where it is the base appreciate, and decreases when pairs where it is the quote depreciate.
This creates a symmetric and stable strength calculation similar to institutional relative-value models.
🕒 Session-based Momentum Reset
The global trading day is split into 4 × 6-hour blocks:
• 00:00–06:00 Tokyo
• 06:00–12:00 London
• 12:00–18:00 New York
• 18:00–24:00 Late US/Asia pre-open
At each new 6-hour session, all strength lines reset to 0.
This highlights fresh intraday momentum generated by liquidity transitions between sessions.
🎯 What the indicator shows
• Relative strength of all 8 currencies
• Smooth momentum curves using EMA smoothing
• Vertical dividers at each new session
• Background color for each session
• Real intraday build-up of strength/weakness (not cumulative from previous day)
This tool is designed for intraday traders who follow cross-currency momentum during session transitions (Tokyo → London → NY).
🧭 How to use it
• Look for the strongest vs weakest currency after each session reset
• Identify fresh trends during London and NY opens
• Confirm currency-pair bias using strength divergence
• Track momentum exhaustion when lines flatten or converge
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
لbsm15// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © LuxAlgo
//@version=5
indicator("لbsm15", overlay = true, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 3000)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
liqGrp = 'Liquidity Detection'
liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp)
liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp)
liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp)
marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp)
cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp)
liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp)
marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp)
cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp)
lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp)
cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp)
cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp)
lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp)
mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp)
visLiq = input.int (3, ' # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp)
//-----------------------------------------------------------------------------}
//General Calculations
//-----------------------------------------------------------------------------{
maxSize = 50
atr = ta.atr(10)
atr200 = ta.atr(200)
per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true
//-----------------------------------------------------------------------------}
//User Defined Types
//-----------------------------------------------------------------------------{
// @type used to store pivot high/low data
//
// @field d (array) The array where the trend direction is to be maintained
// @field x (array) The array where the bar index value of pivot high/low is to be maintained
// @field y (array) The array where the price value of pivot high/low is to be maintained
type ZZ
int d
int x
float y
// @type bar properties with their values
//
// @field o (float) open price of the bar
// @field h (float) high price of the bar
// @field l (float) low price of the bar
// @field c (float) close price of the bar
// @field i (int) index of the bar
type bar
float o = open
float h = high
float l = low
float c = close
int i = bar_index
// @type liquidity object definition
//
// @field bx (box) box maitaing the liquity level margin extreme levels
// @field bxz (box) box maitaing the liquity zone margin extreme levels
// @field bxt (box) box maitaing the labels
// @field brZ (bool) mainains broken zone status
// @field brL (bool) mainains broken level status
// @field ln (line) maitaing the liquity level line
// @field lne (line) maitaing the liquity extended level line
type liq
box bx
box bxz
box bxt
bool brZ
bool brL
line ln
line lne
//-----------------------------------------------------------------------------}
//Variables
//-----------------------------------------------------------------------------{
var ZZ aZZ = ZZ.new(
array.new (maxSize, 0),
array.new (maxSize, 0),
array.new (maxSize, na)
)
bar b = bar.new()
var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var b_liq_V = array.new_box()
var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na
//-----------------------------------------------------------------------------}
//Functions/methods
//-----------------------------------------------------------------------------{
// @function maintains arrays
// it prepends a `value` to the arrays and removes their oldest element at last position
// @param aZZ (UDT, array, array>) The UDT obejct of arrays
// @param _d (array) The array where the trend direction is maintained
// @param _x (array) The array where the bar index value of pivot high/low is maintained
// @param _y (array) The array where the price value of pivot high/low is maintained
//
// @returns none
method in_out(ZZ aZZ, int _d, int _x, float _y) =>
aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop()
// @function (build-in) sets the maximum number of bars that is available for historical reference
max_bars_back(time, 1000)
//-----------------------------------------------------------------------------}
//Calculations
//-----------------------------------------------------------------------------{
x2 := b.i - 1
ph = ta.pivothigh(liqLen, 1)
pl = ta.pivotlow (liqLen, 1)
if ph
dir := aZZ.d.get(0)
x1 := aZZ.x.get(0)
y1 := aZZ.y.get(0)
y2 := nz(b.h )
if dir < 1
aZZ.in_out(1, x2, y2)
else
if dir == 1 and ph > y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == 1
if aZZ.y.get(i) > ph + (atr / liqMar)
break
else
if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_B.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_B.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted))
)
alert('buyside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_B.size() > visLiq
getLast = b_liq_B.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
if pl
dir := aZZ.d.get (0)
x1 := aZZ.x.get (0)
y1 := aZZ.y.get (0)
y2 := nz(b.l )
if dir > -1
aZZ.in_out(-1, x2, y2)
else
if dir == -1 and pl < y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == -1
if aZZ.y.get(i) < pl - (atr / liqMar)
break
else
if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_S.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_S.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted))
)
alert('sellside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_S.size() > visLiq
getLast = b_liq_S.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
for i = 0 to b_liq_B.size() - 1
x = b_liq_B.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.h > x.bx.get_top()
x.brL := true
x.brZ := true
alert('buyside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h))
x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1())
x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr)
x.bxz.set_right(b.i + 1)
x.bxz.set_top(math.max(b.h, x.bxz.get_top()))
if liqBuy
x.lne.set_x2(b.i + 1)
else
x.brZ := false
for i = 0 to b_liq_S.size() - 1
x = b_liq_S.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.l < x.bx.get_bottom()
x.brL := true
x.brZ := true
alert('sellside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, x.ln.get_y1())
x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l))
x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr)
x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom()))
if liqSel
x.lne.set_x2(b.i + 1)
else
x.brZ := false
if lqVoid and per
bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h
bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l
if bull
l = 13
if bull
st = math.abs(b.l - b.l ) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
st = math.abs(b.l - b.h ) / l
for i = 0 to l - 1
if lqText and i == 0
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
if bear
l = 13
if bear
st = math.abs(b.h - b.h) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
st = math.abs(b.l - b.h) / l
for i = 0 to l - 1
if lqText and i == l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
if b_liq_V.size() > 0
qt = b_liq_V.size()
for bn = qt - 1 to 0
if bn < b_liq_V.size()
cb = b_liq_V.get(bn)
ba = math.avg(cb.get_bottom(), cb.get_top())
if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba)
b_liq_V.remove(bn)
else
cb.set_right(b.i + 1)
if b.i - cb.get_left() > 21
cb.set_text_color(color.new(color.gray, 25))
//-----------------------------------------------------------------------------}
SuperTrend Zone Rejection [STRZ] CONCEPT -
This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline.
HOW IT WORKS -
The script operates on three logic gates:
>> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction.
>> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area.
>> Signal Detection: Identifies specific candle geometries occurring within these zones.
>> Rejection: Candles with significant wicks testing the zone support/resistance.
>> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range.
FEATURES -
>> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box.
>> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size.
>> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries.
SETTINGS -
>> Super Trend: Adjustable Factor and ATR Period.
>> Zone Multiplier: Controls the width of the pullback zone relative to ATR.
>> Visuals: Customizable colours for zones and signals to fit light/dark themes.
Highlight Running 30m CandleThis script highlight 30 minute running candle.
mostly used for crypto trading
TheStrat Failed 2 + 2 Continuation FTFC AlignmentTheStrat “Failed 2 + FTFC Alignment” spots a specific reversal/continuation pattern and layers on higher-timeframe confirmation so newer traders can focus on clean, high-probability setups.
WHAT IT LOOKS FOR
- A Failed 2 bar (price breaks the prior high/low but closes back through its open).
• Failed 2D (bullish): price takes out the previous low but finishes green.
• Failed 2U (bearish): price takes out the previous high but finishes red.
- The very next bar must be a true “2” continuation in the opposite direction (2U after a Failed 2D or 2D after a Failed 2U). This is the classic “2-2 reversal/continuation” from TheStrat playbook.
WHY IT MATTERS
When a failed 2 immediately resolves into a clean 2, it signals that buyers or sellers have seized control. These moves often become momentum pushes, especially if the broader timeframes agree.
HIGHER-TIMEFRAME FILTER
- Checks Monthly, Weekly, and 3-Day opens in real time.
- Bull signals only pass when all three are above their opens (full timeframe continuity up).
- Bear signals only pass when all three are below their opens (full timeframe continuity down).
WHAT YOU GET
- Optional labels that mark Failed 2 bars and the confirmed 2-2 signals.
- A compact “FTFC” icon on the exact bar where the continuation qualifies.
- Toggleable intrabar and bar-close alerts (select “Any alert() function call” for real-time alerts).
- A mini panel showing Monthly/Weekly/3-Day arrows so you can verify FTFC at a glance.
- Settings to require the continuation candle to be the same color as the failed bar for extra confirmation.
HOW TO USE
1. Add the script to your chart and confirm the panel arrows are aligned when icons appear.
2. Turn on the bar-close alert conditions for confirmed signals, or enable intrabar alerts for early warnings.
3. Combine the signal with your entry/stop rules (e.g., trigger on break of the signal bar and use the prior swing for risk).
This script serves as training wheels for traders learning TheStrat by automatically filtering for high-quality Failed-2 → 2 reversals that align across multiple timeframes.
Dynamic Support and Resistance with Trend LinesMain Purpose
The indicator identifies and visualizes dynamic support and resistance levels using multiple strategies, plus it includes trend analysis and trading signals.
Key Components:
1. Two Support/Resistance Strategies:
Strategy A: Matrix Climax
Identifies the top 10 (configurable) most significant support and resistance levels
Uses a "matrix" calculation method to find price levels where the market has historically reacted
Shows these as horizontal lines or zones on the chart
Strategy B: Volume Extremes
Finds support/resistance levels based on volume analysis
Looks for areas where extreme volume occurred, which often become key price levels
2. Two Trend Line Systems:
Trend Line 1: Pivot Span
Draws trend lines connecting pivot high and pivot low points
Uses configurable pivot parameters (left: 5, right: 5 bars)
Creates a channel showing the trend direction
Styled in pink/purple with dashed lines
Trend Line 2: 5-Point Channel
Creates a channel based on 5 pivot points
Provides another perspective on trend direction
Solid lines in pink/purple
3. Trading Signals:
Buy Signal: Triggers when Fast EMA (9-period) crosses above Slow EMA (21-period)
Sell Signal: Triggers when Fast EMA crosses below Slow EMA
Displays visual shapes (labels) on the chart
Includes alert conditions you can set up in TradingView
4. Visual Features:
Dashboard: Shows key information in a table (top-right by default)
Visual Matrix Map: Displays a heat map of support/resistance zones
Color themes: Dark Mode or Light Mode
Timezone adjustment: For accurate time display
5. Customization Options:
Universal lookback length (100 bars default)
Projection bars (26 bars forward)
Adjustable transparency for different elements
Multiple calculation methods available
Fully customizable colors and line styles
What Traders Use This For:
Entry/Exit Points: The EMA crossovers provide clear buy/sell signals
Risk Management: Support/resistance levels help set stop-losses and take-profit targets
Trend Confirmation: Multiple trend lines confirm trend direction
Key Price Levels: Identifies where price is likely to react (bounce or break through)
The indicator is quite feature-rich and combines technical analysis elements (pivots, EMAs, volume, support/resistance) into one comprehensive tool for trading decisions.
Avengers Ultimate V5 (Watch Profit)"Designed as a trend-following system, this strategy integrates the core principles of legends like Mark Minervini, Stan Weinstein, William O'Neil, and Jesse Livermore. It has been fine-tuned for the Korean market and provides distinct entry and exit protocols for different market scenarios."






















