ICT Unicorn Model [Kodexius]ICT Unicorn Model is a market structure and imbalance confluence tool that automatically detects high probability “Unicorn” setups by combining three key elements into a single, clean script:
-A first, clean break of that swing level (displacement style break)
-A Fair Value Gap that overlaps a breaker candle body range
Instead of plotting every pivot or every imbalance independently, the script waits for a specific sequence: price establishes a valid swing, breaks that swing for the first time, and prints a setup only when the resulting context aligns with a valid, volatility filtered FVG and a clearly defined breaker range.
Each detected setup is drawn directly on the chart with labeled zones (Breaker and FVG) and is then actively monitored. If price violates the breaker boundary based on your chosen invalidation basis (Close or Wick), the setup is marked inactive and can optionally be removed to keep the chart clean.
This indicator is designed for traders who work with ICT style concepts such as liquidity runs, displacement, breaker blocks, and imbalance reversion, and who want a structured, rules based visualization rather than discretionary drawing.
🔹 Features
🔸 Fair Value Gap Detection With Volatility Filtering
Bullish and bearish FVGs are detected using classic three candle imbalance logic. To avoid low quality gaps during compression, the script applies an ATR based minimum size filter using the “FVG Min Size (ATR Multiplier)” input. Only gaps larger than ATR * threshold are considered valid.
🔸 First Break Validation (Clean Break Logic)
A key part of the model is identifying a “first break” of a swing level. The script checks whether the swing price has already been invalidated between the swing bar and the current bar. If it has, the swing is ignored. This helps reduce repeated signals and focuses on fresh structural breaks.
🔸 Breaker and FVG Confluence With Overlap Requirement
After a valid break occurs, the script defines a breaker range using the body of the swing candle (open and close). A setup is only created if this breaker body range overlaps the detected FVG price range. This overlap requirement is what filters many “almost” conditions and keeps signals more selective.
Bullish Unicorn:
Bearish Unicorn:
🔸 Configurable Invalidation Basis (Close or Wick)
You can choose how a setup fails:
-Close: invalidation requires a candle close beyond the breaker boundary
-Wick: invalidation occurs as soon as any wick crosses beyond the breaker boundary
This allows the tool to adapt to different trading styles, from conservative confirmation to more sensitive risk control.
🔸 Automatic Cleanup of Failed Setups
If “Delete Invalidated Setups” is enabled, the script removes the breaker box, FVG box, and label as soon as the setup is invalidated. If disabled, the zones remain visible for review while the setup is marked inactive internally.
🔸 Clear Chart Visuals
Each setup plots:
-A labeled Breaker zone box
-A labeled FVG zone box
-A directional Unicorn label (Bull or Bear) that updates position as the chart advances
Colors for bullish and bearish structures are fully configurable.
🔸 Alert Conditions
Two alert conditions are provided:
-Bullish Unicorn Setup Detected
-Bearish Unicorn Setup Detected
Alerts trigger only on the bar a new setup is created.
🔹 Calculations
This section summarizes the main computations used internally. The goal here is to explain the model mechanics rather than reproduce every implementation detail.
1. Swing Detection (Pivot High / Pivot Low)
Swing levels are detected using a symmetric pivot definition with “Swing Length” bars on both sides:
float ph = ta.pivothigh(high, swingLength, swingLength)
float pl = ta.pivotlow(low, swingLength, swingLength)
When a pivot is confirmed, its price and originating bar index are stored:
-Swing High: price = pivot high, isHigh = true
-Swing Low: price = pivot low, isHigh = false
The script keeps a limited history (most recent swings) to stay efficient.
2. Fair Value Gap Detection
FVGs use the classic three candle displacement imbalance:
Bullish FVG condition
bool isBullFVG = high < low
Bullish gap range is defined as:
-Top = low
-Bottom = high
Bearish FVG condition
bool isBearFVG = low > high
Bearish gap range is defined as:
-Top = low
-Bottom = high
3. ATR Based Minimum Gap Filter
ATR is computed (length 14), then the gap size is compared against a user threshold:
float atr = ta.atr(14)
bool validBullFVG = isBullFVG and (bullFvgTop - bullFvgBot) > (atr * fvgThreshold)
bool validBearFVG = isBearFVG and (bearFvgTop - bearFvgBot) > (atr * fvgThreshold)
This prevents very small imbalances from generating setups in low volatility conditions.
4. “First Break” Check Using Level Invalidation Scan
Before accepting a swing break, the script scans forward from the swing bar to the current bar to confirm the level has not already been breached. The scan can be based on wick or close:
-Wick mode: uses high or low
-Close mode: uses close
Conceptually:
priceToCheck = mode == "Wick" ? (checkBelow ? low : high) : close
If a prior breach is found, the swing is treated as already invalidated and is ignored for setup creation.
5. Break Of Structure Condition
Bullish break requirement
A bullish setup requires breaking a stored swing high with bullish body intent:
-close > swingHighPrice
-open < close
Bearish break requirement
A bearish setup requires breaking a stored swing low with bearish body intent:
-close < swingLowPrice
-open > close
An additional proximity filter is applied in the bearish branch to reduce weak or overly extended breaks by requiring the prior close to be reasonably near the swing level.
6. Breaker Range Construction
Once a qualifying swing is found, the breaker range is derived from the body of the swing candle (the candle at the swing bar index). The body boundaries are:
float breakerTop = math.max(bOpen, bClose)
float breakerBot = math.min(bOpen, bClose)
This models the breaker as the candle body range rather than full wick range, which typically produces more practical invalidation boundaries.
7. Overlap Test Between Breaker and FVG
A setup is only created if the breaker body overlaps the FVG zone. Conceptually the script rejects cases where one range is fully above or fully below the other:
-If there is no overlap, no setup is created
-If overlap exists, the Unicorn setup is valid
8. Active Monitoring and Invalidation
Each setup remains active until invalidated. Invalidation is evaluated every bar using your selected basis:
-Close basis: compares close to breaker boundary
-Wick basis: compares high or low to breaker boundary
Bullish invalidation
Setup fails if price crosses below breaker bottom.
Bearish invalidation
Setup fails if price crosses above breaker top.
If deletion is enabled, all drawings related to that setup are removed immediately on invalidation.
9. Drawing Updates and Object Lifecycle
Breaker and FVG boxes are extended to the right while the setup is active to keep zones visible into the near future. The Unicorn label is also repositioned as new bars print so the most recent context stays readable.
SMC
Math by Thomas SMC Buy and Sell Model📖 DESCRIPTION
This indicator is built on Smart Money Concepts (SMC) and focuses on how institutions actually execute trades.
Instead of predicting direction, it identifies three critical market states:
Acceptance (Sideways / Consolidation)
Liquidity Location (PDH / PDL / Swing High–Low)
Volatility Release (Breakout with intent)
The model waits for price compression (inventory build) near liquidity and triggers trades only when price breaks in the direction of liquidity.
This approach is especially suitable for index option buying, where timing and expansion matter more than prediction.
🧠 CORE LOGIC (SIMPLE EXPLANATION)
1️⃣ Sideways / Acceptance Phase
The indicator detects periods where price accepts value
These zones represent institutional inventory building
Shown as blue boxes on the chart
2️⃣ Liquidity Context
The indicator tracks:
Previous Day High (PDH)
Previous Day Low (PDL)
Swing Highs & Swing Lows
These levels act as liquidity targets for institutional moves.
3️⃣ Buy / Sell Signal
A signal appears only when:
Price breaks out of a sideways box
The breakout is towards liquidity
This avoids:
Random breakouts
Counter-trend trades
Low-probability entries
🟢 BUY SIGNAL RULES
A BUY (CALL) signal is generated when:
A valid sideways box is present
Candle closes above the box high
Liquidity exists above price
PDH or Swing High above
📌 The signal appears after candle close (no repaint).
🔴 SELL SIGNAL RULES
A SELL (PUT) signal is generated when:
A valid sideways box is present
Candle closes below the box low
Liquidity exists below price
PDL or Swing Low below
📌 The signal appears after candle close (no repaint).
⏱️ BEST TIMEFRAME
✅ Recommended timeframe: 5 MINUTE
Why 5-minute works best:
Cleaner acceptance zones
Meaningful liquidity reactions
Less noise than 1-minute
Faster execution than higher timeframes
⚠️ 1-minute charts may produce noisy signals.
⚠️ Higher timeframes may delay option entries.
🕒 BEST MARKET TIME
For index trading (NIFTY / BANKNIFTY):
✅ 9:30 AM – 2:45 PM
❌ Avoid late entries after 3:10 PM
🎯 WHO SHOULD USE THIS INDICATOR
✔️ Index option buyers
✔️ Traders using SMC / price action
✔️ Traders who want logic-based entries
✔️ Those avoiding prediction-based trading
❌ WHAT THIS INDICATOR IS NOT
❌ Not a scalping indicator
❌ Not a trend-following MA system
❌ Not for blind signal trading
This is a context-based execution tool.
🎓 EDUCATIONAL NOTE
This indicator does not predict the market.
It helps identify when institutions are likely executing after inventory build-up.
Always combine with:
Proper risk management
Market context
Discipline
⚠️ DISCLAIMER
This indicator is for educational purposes only.
Trading involves risk.
The author is not responsible for financial losses.
📖 விளக்கம் (DESCRIPTION)
இந்த இன்டிகேட்டர் Smart Money Concepts (SMC) அடிப்படையில் உருவாக்கப்பட்டது.
மார்க்கெட் எந்த திசைக்கு போகும் என்று ஊகிப்பதில்லை;
இன்ஸ்டிடியூஷன்கள் எப்போது உண்மையாக செயல்படுகின்றன என்பதை கண்டறிவதே இதன் நோக்கம்.
இந்த மாடல் மார்க்கெட்டின் மூன்று முக்கிய நிலைகளை கவனிக்கிறது:
1️⃣ Acceptance / Sideways (கன்சாலிடேஷன்)
2️⃣ Liquidity Location (PDH / PDL / Swing High–Low)
3️⃣ Volatility Release (Breakout with intent)
Sideways நிலையில் இன்ஸ்டிடியூஷன்கள் inventory build செய்கிறார்கள்.
அந்த acceptance முடிந்து, liquidity நோக்கி பிரேக் ஏற்பட்டால் மட்டுமே
Buy / Sell signal கொடுக்கப்படுகிறது.
👉 இது Index Option Buying-க்கு மிகவும் பொருத்தமானது.
🧠 மைய லாஜிக் (எளிய விளக்கம்)
1️⃣ Sideways / Acceptance Phase
விலை ஒரு ரேஞ்சில் சுழலும் போது இந்த பகுதி கண்டறியப்படுகிறது
இது inventory build ஆகும் பகுதி
சார்ட்டில் நீல நிற Box ஆக காட்டப்படும்
2️⃣ Liquidity Context
இந்த இன்டிகேட்டர் கீழ்கண்ட liquidity லெவல்களை கவனிக்கிறது:
Previous Day High (PDH)
Previous Day Low (PDL)
Swing High / Swing Low
இந்த லெவல்கள் தான் இன்ஸ்டிடியூஷன்களின் இலக்கு (destination).
3️⃣ Buy / Sell Signal
Signal வரும் போது:
Sideways box இருக்க வேண்டும்
Box-ஐ உடைத்து CLOSE ஆக வேண்டும்
அந்த பிரேக் liquidity இருக்கும் திசையில் இருக்க வேண்டும்
இதனால்:
தவறான பிரேக்குகள் தவிர்க்கப்படும்
Counter-trend trades குறையும்
🟢 BUY SIGNAL (CALL)
BUY signal வரும் நிலை:
Sideways box உருவாகி இருக்க வேண்டும்
Candle, box high-க்கு மேலே close ஆக வேண்டும்
Liquidity மேலே இருக்க வேண்டும்
PDH மேலே
அல்லது Swing High மேலே
📌 Candle close ஆன பிறகே signal வரும்
👉 No repaint
🔴 SELL SIGNAL (PUT)
SELL signal வரும் நிலை:
Sideways box உருவாகி இருக்க வேண்டும்
Candle, box low-க்கு கீழே close ஆக வேண்டும்
Liquidity கீழே இருக்க வேண்டும்
PDL கீழே
அல்லது Swing Low கீழே
📌 Candle close ஆன பிறகே signal வரும்
👉 No repaint
⏱️ சிறந்த Timeframe
✅ 5-Minute Timeframe – BEST
ஏன் 5-minute சிறந்தது?
Sideways zones தெளிவாக உருவாகும்
Liquidity reaction நல்லதாக இருக்கும்
1-minute போல noise இல்லை
Option buying-க்கு சரியான timing
⚠️ 1-minute – அதிக noise
⚠️ Higher timeframe – entry தாமதம்
🕒 சிறந்த Trading Time
Index (NIFTY / BANKNIFTY):
✅ காலை 9:30 – மதியம் 2:45
❌ 3:10க்கு பிறகு புதிய entry தவிர்க்கவும்
🎯 யாருக்கு இந்த இன்டிகேட்டர்?
✔️ Index Option Buyers
✔️ SMC / Price Action Traders
✔️ Prediction-ஐ விட logic விரும்புபவர்கள்
✔️ Clean entries தேடும் traders
❌ இது என்ன அல்ல?
❌ Scalping indicator அல்ல
❌ Moving Average system அல்ல
❌ Blind signal trading-க்கு அல்ல
👉 இது context-based execution tool.
🎓 கல்வி குறிப்பு
இந்த இன்டிகேட்டர் மார்க்கெட்டை predict செய்யாது.
Inventory build ஆன பிறகு, இன்ஸ்டிடியூஷன்கள் execute செய்யும் இடங்களை
காட்டுவதே இதன் நோக்கம்.
எப்போதும்:
Risk management
Discipline
Market context
கண்டிப்பாக பயன்படுத்த வேண்டும்.
⚠️ மறுப்பு அறிவிப்பு (Disclaimer)
இந்த இன்டிகேட்டர் கல்வி நோக்கத்திற்காக மட்டுமே.
Trading-ல் risk உள்ளது.
ஏதேனும் இழப்புகளுக்கு உருவாக்குநர் பொறுப்பல்ல.
QTheory [SSMT]QTheory –
This indicator is built on Quarterly Theory (developed by Daye)
🔹 Quarterly Theory
Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs.
🔹 Sequential SMT (SSMT)
Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters.
🔹 Features of QTheory
Automatic detection of quarterly cycles across multiple timeframes.
Visual cycle boxes & customizable dividers.
Integrated SSMT signals with divergence line visualization.
DFR (Defining Range) with Fibonacci levels.
Support for up to 5 comparison assets, with inversion options.
Auto-cycle selection for seamless multi-timeframe adaptation.
Extensive customization for colors, opacity, and signal display.
🔹 How it works
QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns.
🔹 How to use it
Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings.
Toggle boxes, dividers, and signals depending on your trading style.
Use SSMT divergences and DFR Fibs to anticipate a reversal
Compare against other assets (e.g., DXY or correlated pairs) to refine confluence.
Enable "Show Weekends" for Crypto.
⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management.
RF True Structure Engine PROD. V1RF True Structure Engine V1 is a fractal–based market structure indicator that identifies the current active swing leg and bias in real time. It automatically tracks Strong/Weak Highs and Lows, marks MSS (Market Structure Shifts) and BOS (Breaks of Structure) using candle-close confirmation, and plots clean right-side structure levels with an optional midline for quick leg context.
It also includes an optional HTF structure overlay and a compact multi-timeframe bias table (up to 5 timeframes) so you can instantly see whether higher/lower timeframes are bullish or bearish.
Built for clarity and consistency — structure first, noise filtered out.
Market Structure HighLow + Liquidity [MaB]📊 Market Structure HighLow + Liquidity A comprehensive indicator combining precision market structure analysis with real-time liquidity zone detection, built on a custom finite-state machine architecture.
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🎯 KEY FEATURES
• Automatic Swing Detection Identifies structural High/Low points using a dual-confirmation system (minimum candles + pullback percentage)
• Smart Trend Tracking Automatically switches between Uptrend (Higher Highs & Higher Lows) and Downtrend (Lower Highs & Lower Lows)
• Breakout Alerts Visual markers for confirmed breakouts (Br↑ / Br↓) with configurable threshold
• Sequential Labeling Clear numbered labels (L1, H2, L3, H4...) showing the exact market structure progression
• Color-Coded Structure Lines
• Green: Uptrend continuation legs
• Red: Downtrend continuation legs
• Gray: Trend inversion points
• Imbalance Zones (FVG) Automatically detects Fair Value Gaps that form during impulsive moves between validated swing points
• Inducement Zones Identifies potential liquidity traps - FVGs that form before breakout confirmation, often used as stop-hunt areas
• Dynamic Zone Management Zones automatically close when price touches them, with configurable retracement sensitivity
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🔬 TECHNICAL ARCHITECTURE
This indicator does NOT rely on TradingView's built-in ta.pivothigh() / ta.pivotlow() functions.
Instead, it implements a custom finite-state machine (FSM) that manages multiple monitoring states, alternating dynamically between Uptrend and Downtrend modes based on confirmed breakouts.
Core Components:
• State Machine Engine Multiple internal states handle candidate detection, validation, and confirmation phases. The system transitions between states based on price action triggers and confirmation criteria.
• Dual-Confirmation System Each swing point must satisfy two independent filters before validation:
o Time-based filter (minimum candles)
o Price-based filter (minimum retracement %)
• Directional Breakout Logic Separate breakout detection routines for uptrend continuation, downtrend continuation, and trend inversion scenarios. Each triggers specific state transitions.
• FVG Classification Engine Automatically distinguishes between Imbalance zones (post-confirmation FVGs) and Inducement zones (pre-confirmation FVGs) based on breakout timing context.
• Dynamic Zone Lifecycle Zones are created, monitored, and closed through a managed lifecycle with configurable touch sensitivity.
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⚙️ CONFIGURABLE PARAMETERS
Market Structure
• Analysis Start Date: Define when to begin structure analysis
• Min Confirmation Candles: Required candles for validation (default: 3)
• Pullback Percentage: Minimum retracement for confirmation (default: 10%)
• Breakout Threshold: Percentage beyond structure for breakout (default: 1%)
Liquidity
• Show Zones: Toggle visibility of imbalance and inducement zones
• Zone Colors: Customize colors for Supply/Demand imbalances and inducements
• Zone Retracement %: How deep price must enter zone to consider it touched (0-100%)
• Inactive Zones Transparency: Visual distinction for closed zones
Display
• Show Market Structure Table: Toggle info panel
• Replay Mode: Optimize for TradingView Replay feature
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🎨 ZONE COLOR CODING
• 🔴 Imbalance Supply (Red): Bearish FVG - potential resistance/short entry
• 🟢 Imbalance Demand (Green): Bullish FVG - potential support/long entry
• 🟠 Inducement Supply (Orange): Pre-breakout bearish FVG - possible stop-hunt zone
• 🔵 Inducement Demand (Blue): Pre-breakout bullish FVG - possible stop-hunt zone
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💡 HOW IT WORKS
1. Initializes state machine in UPTREND mode, searching for first swing Low
2. Tracks price movement and triggers candidate states upon potential reversals
3. Validates candidates through dual-confirmation (time + price filters)
4. Upon confirmation, scans price range for FVG patterns (3-candle gaps)
5. Classifies detected FVGs based on breakout timing (Inducement vs Imbalance)
6. Monitors breakout levels - triggers state transitions on confirmed breaks
7. Alternates between Uptrend/Downtrend modes based on breakout direction
8. Manages zone lifecycle - closes zones when price retraces into them
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🔧 BEST USED FOR
• Identifying key support/resistance levels with liquidity context
• Spotting potential reversal zones (imbalances)
• Avoiding stop-hunt traps (inducement awareness)
• Trend direction confirmation
• Breakout trading setups with confluence
• Multi-timeframe structure and liquidity analysis
• Understanding where institutional orders may be resting
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⚠️ NOTES
• Works best on higher timeframes (1H+) for cleaner structure
• Inducement zones often convert to Imbalance zones after breakout confirmation
• Zone Retracement % allows fine-tuning: 0% = first touch, 25% = quarter penetration, 100% = full traversal
• Inactive zones remain visible (faded) to show historical liquidity levels
• Use Replay Mode when backtesting to prevent buffer overflow errors
Customizable Macro If you’re strategy relies on time then this indicator allows you to customize specific time windows to show so you no longer have to manually keep track of the time.
ICT MTF FVG BPR Toolkit [D4A}The ICT MTF FVG BPR Toolkit encompasses the following 5 components:
- Fair Value Gaps - current timeframe
- Fair Value Gaps - higher timeframe
- BPR - Balanced Price Range
- Long Wicks - which are considered to be gaps by ICT
- Immediate Rebalance - it leaves no gaps, but is as important in assessing current workflow
This is advanced Fair Value Gaps script that uses trading methodology taught by ICT trader. To use it effectively it requires at least some basic knowledge of Smart Money Concepts (SMC) as outlined in ICT's lectures found on YT. I may publish another SMC related scripts in future if this kind of tool is useful to anybody.
The idea behind this work, is to have all the necessary tools related to Fair Value Gaps in one script that is easy to use (requires SMC knowledge), fully customizable and will keep the chart as clutter free as possible. Since, I could not find a ready-made script which would tick all my requirements, I created this new script, partially by borrowing some ideas and code from existing open source projects that I liked. Rather than re-inventing the wheel, I focused on adopting and improving existing solutions and have them work together in one tool that could present the information accurately and in a polished way, where the trader can customize almost everything. Full credit goes to other coders, who tackled this subject before me, but particularly to:
QuantVue
LuxAlgo
pmk07
The script have these unique features:
- Can present FVGs from up to 3 different timeframes at any given interval
- The amount and interval of higher timeframe FVGs is fully customizable
- FVGs can be displayed based on size
- Volume Imbalance can be included as part of FVG (as recommended by ICT)
- Higher timeframe FVGs can have quadrants displayed along with C.E. (based on ATR filter)
- Both current and higher timeframe FVGs can be displayed in different ways depending on price interactions
- BPR which works on current timeframe only
- Long Wick detection logic has been slightly changed from the original LuxAlgo code
- Immediate Rebalance code has been simplified and re-focused on clarity
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
FVG BOS SMC Liquidity Analyzer - Ambrosia-Prime - Basic v1.0# 📘 USER GUIDE
# FVG BOS Volume Volatility Entry/TP/SL Liquidity Analyzer
## 🆓 FREE Basic v1.0 | by Ambrosia-Prime
---
## 📋 TABLE OF CONTENTS
1. (#what-is-this-indicator)
2. (#settings-explained)
3. (#understanding-the-tables)
4. (#your-first-trade)
5. (#free-vs-premium)
6. (#faq)
---
## 🎯 WHAT IS THIS INDICATOR?
The **FVG Analyzer** is a professional trading tool based on **Smart Money Concepts (SMC)** and **ICT strategies**. It automatically detects:
✅ **Fair Value Gaps (FVG)** - Market imbalances
✅ **Break of Structure (BOS)** - Trend confirmations
✅ **Multi-Timeframe Analysis** - 4H, 1H, 15m, 5m, 1m
✅ **Entry, Stop-Loss & Take-Profit** - Automatic level calculation
### The Debug Table shows you everything:
| TF | FVG | Touch | Exit | READY | Signal |
|-----|------|-------|------|-------|--------|
| ► 4H| BULL | ✓ | ↑ | ✓ | LONG |
| 1H | BULL | ✓ | ↑ | ✓ | LONG |
| 15m | BULL | ✓ | ↑ | ✓ | LONG |
When all timeframes show **READY** → **ENTRY SIGNAL!**
---
## ⚙️ SETTINGS EXPLAINED
### 👁 DISPLAY SETTINGS
| Setting | Description |
|---------|-------------|
| Show Bullish FVG | Display yellow FVG boxes |
| Show Bearish FVG | Display blue FVG boxes |
| Show BOS lines | Break of Structure lines |
| Show Session Stats | Statistics table (top right) |
| Show Debug Table | Cascade status (bottom left) |
| Show Entry/SL/TP | Entry lines on signals |
### 🎯 BASIC FILTER (Choose ONE)
In the **FREE Version** you can only activate **1 filter** at a time:
| Filter | What it does |
|--------|--------------|
| **None** | No filter active |
| **FVG Size** | Only FVGs larger than X × ATR |
| **Volume** | Only on above-average volume |
| **Volatility** | Only on normal volatility (not too wild) |
| **BOS only with FVG** | BOS only when open FVG exists |
| **Fill Delete** | FVG disappears when completely filled |
> 💎 **PREMIUM:** Use all 15+ filters simultaneously!
### 🔄 TOUCH + EXIT CASCADE
| Setting | Options | Recommendation |
|---------|---------|----------------|
| Cascade Parent TF | 4H, 1H, 15m | **4H** for Swing |
| Confirm EXIT by WICK | ON/OFF | **ON** for more signals |
| Entry Trigger Level | Lowest/Middle/Parent | **Parent TF** |
| Require ALL TFs | ON/OFF | **ON** for quality |
### 📊 TP SETTINGS
| Setting | Description |
|---------|-------------|
| TP Mode | TP1 only / TP1+TP2 / TP1+TP2+TP3 |
| TP1 Risk:Reward | e.g. 1.5 = 1.5× your risk |
| TP2 Multiplier | e.g. 2.0 = 2× TP1 |
| TP3 Multiplier | e.g. 3.0 = 3× TP1 |
---
## 📈 UNDERSTANDING THE TABLES
### 📍 Filter Status (Top Left)
```
┌─────────────────────────────────────┐
│ 💎 │ ALL FILTERS │ = PREMIUM │
├─────────────────────────────────────┤
│ Active Filter │ FVG Size │ ✅ │
│ Session │ EU 🔒 │ 💎 │
│ Status │ ⏳ WAIT │FREE v1.0│
└─────────────────────────────────────┘
```
- **Active Filter:** Your selected filter
- **Session:** Current trading session
- 🔒 = Locked (PREMIUM only)
- ✅ = Unlocked (No Market 22-01 CET)
- **Status:** WAIT / 🟢 LONG / 🔴 SHORT
### 📊 Session Stats (Top Right)
```
┌──────────────────────────────────────────────────────────┐
│ Session │Bull│Bear│Total│Entries│TP│SL│Win%│Profit│
├──────────────────────────────────────────────────────────┤
│ Asia 01-09 │173 │161 │ 334 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ EU 09-15:30 │131 │146 │ 277 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ EU+US 15:30-17:30│ 37 │ 42 │ 79 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ US 17:30-22 │ 95 │106 │ 201 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ No Mkt 22-01 ✅ │ 42 │ 52 │ 94 │ 14 │14│ 0│100%│ 9.8R │
└──────────────────────────────────────────────────────────┘
```
**In FREE you see:**
- ✅ Bull/Bear/Total FVGs for **ALL** sessions
- ✅ Complete stats only for **No Market (22-01 CET)**
- 💎 Other sessions = **PREMIUM**
### 🔍 Debug Table (Bottom Left)
Shows the **live status** of the cascade:
| Symbol | Meaning |
|--------|---------|
| ► | Parent timeframe (selected) |
| BULL/BEAR | FVG direction |
| ✓ (Touch) | Price touched the zone |
| ↑/↓ (Exit) | Price exited the zone |
| ✓ (READY) | Timeframe is ready |
| LONG/SHORT | Signal direction |
---
## 🚀 YOUR FIRST TRADE
### Preface - Why this Indicator is Different
This indicator can filter so **aggressively** that you receive few or almost no signals. **That was exactly my goal!**
I don't need 500 entries per day staring at a chart all day long.
**I only need 1-3 signals per day - and they should work.**
That was the goal. Quality over quantity.
---
### Step-by-Step Guide:
**1. Create a Watchlist**
- Create a watchlist in TradingView
- Add as many charts as your account allows
- Add the indicator to all charts
**2. Set up Alerts**
- Go to the **4H chart**
- Set up the alert:
- **FREE:** Only "No Market" session (22-01 CET)
- **PREMIUM:** All sessions available
- Select "Any Entry Signal"
**3. React to Alert Signal**
- When an alert comes → Switch to the chart
- Check the **Session Stats Table** (top right)
- There you see: Entry, TP, SL, Win%, Profit
**4. Optimize Entry**
- Open the **Settings** (gear icon)
- Adjust the **TP** until you win all trades
- *(Sometimes profit is higher when you lose one trade but have a higher TP)*
- When you've found the best profit result:
- **Take the set TP minus 10-20%**
- *(We don't want to be greedy, but we want to win!)*
**5. Manage Trade**
- The **SL price** is already provided
- The **TP price** adjusts to your settings
- Set your trade accordingly
**6. Done!**
- Start the trade
- Wait for the next signal on another chart
- Repeat!
---
### ⚠️ Important Note
> Remember: A trade can always hit SL!
> Only trade with money you can afford to lose.
>
> I wish you great success and let me know how successful you were.
> **I will read every comment and answer to the best of my ability.**
---
## 💎 FREE vs PREMIUM
### *Coming soon - Currently in Release Testing*
### What you get with FREE:
| Feature | FREE 🆓 |
|---------|---------|
| FVG Detection (all TFs) | ✅ |
| BOS Detection | ✅ |
| Cascade Logic | ✅ |
| Debug Table | ✅ |
| Session Stats Table | ✅ |
| Entry/SL/TP Lines | ✅ |
| Filters | **1 at a time** |
| Trading Sessions | **Only No Market (22-01)** |
| Alerts | **Only No Market** |
### What you get with PREMIUM:
| Feature | PREMIUM 💎 |
|---------|------------|
| Everything from FREE | ✅ |
| **15+ filters simultaneously** | ✅ |
| **All sessions unlocked** | ✅ |
| → Asia (01-09) | ✅ |
| → EU (09-15:30) | ✅ |
| → EU+US Overlap (15:30-17:30) | ✅ |
| → US (17:30-22) | ✅ |
| **Alerts for all sessions** | ✅ |
| **Session-based TP optimization** | ✅ |
| **HTF Zone Confluence Filter** | ✅ |
| **Structure Filter (HH/HL/LH/LL)** | ✅ |
| **RR Filter** | ✅ |
| **Trend EMA Filter** | ✅ |
| **Candle Quality Filter** | ✅ |
| **Cooldown Filter** | ✅ |
| **FVG Age Filter** | ✅ |
### 🚀 PREMIUM EDITION (Exclusive!)
The Premium version has **two different entry logics** - that's why the testing phase is still ongoing.
Finds setups with **10-100% potential!**
---
## ❓ FAQ
### "Why don't I see any entries?"
**Possible reasons:**
1. **Wrong session:** FREE only works 22:00 - 01:00 CET
2. **Cascade not READY:** All TFs must show ✓
3. **Filter blocking:** Check your active filter
4. **Already in trade:** "Single Trade" allows only 1 trade
### "What do the colors mean?"
| Color | Meaning |
|-------|---------|
| 🟡 Yellow | Bullish FVG / Entry line |
| 🔵 Blue | Bearish FVG |
| 🟢 Green | TP line / Positive |
| 🔴 Red | SL line / Negative |
| 🟣 Purple | EU+US Overlap Session |
### "Which timeframe should I use?"
| Your Style | Chart TF | Cascade Parent |
|------------|----------|----------------|
| Scalping | 1m - 5m | 15m |
| Daytrading | 5m - 15m | 1H |
| Swing | 15m - 1H | 4H |
### "Can I change the sessions?"
- **FREE:** No, only No Market (22-01) is available.
- **PREMIUM:** Yes, all sessions + session-based TP values!
---
## 📞 WANT MORE?
### Unlock PREMIUM:
- ✅ All Sessions
- ✅ All Filters
- ✅ 2 Entry Logics
- ✅ Priority Support
### Contact & Support:
📊 **TradingView:** (www.tradingview.com)
---
## 📜 CHANGELOG
### v1.0 FREE (December 2024)
- Initial Release
- Multi-TF FVG Detection
- BOS Detection
- Cascade Logic
- 1 Filter (Dropdown)
- No Market Session (22-01)
- Session Statistics
- Debug Table
---
## ⚠️ DISCLAIMER
This indicator is an **analysis tool** and not financial advice.
Trading involves risks. Past results do not guarantee future profits.
Only trade with capital you can afford to lose.
---
**Good luck with your trading! 🚀**
*Your Ambrosia-Prime*
---
*© 2024 Ambrosia-Prime. All rights reserved.*
Auction Imbalance And Rebalance IndicatorThis indicator marks areas of Internal Range Liquidity along with Ecternal Range Liquidity
RMI Valid FVG & IFVGRMI • Valid FVG & iFVG (Smart Money Concept)
RMI • Valid FVG & iFVG is a precision-focused Fair Value Gap indicator designed for traders who follow Smart Money Concepts (SMC) / ICT logic and want to filter out low-quality, random gaps.
This indicator does not plot every FVG.
It highlights only structurally relevant FVGs that form in the direction of the trend and have a high probability of being filled.
Core Features
Bullish & Bearish Fair Value Gaps
Inverse Fair Value Gaps (iFVG)
Trend-aligned FVG filtering
Automatic invalidation after mitigation
Clean background zones for clear visibility
Optimized for intraday trading
Adjustable settings for scalping, intraday & swing trading
Smart Filtering Logic
FVGs are validated using market structure context
Only FVGs that form within the active trend are displayed
Weak or low-probability gaps are ignored
Inverse FVGs appear after strong displacement and rejection
Zones are visually faded once mitigated
This helps reduce chart noise and keeps the focus on high-probability reaction zones.
Best Use Cases
Entry refinement after BOS / CHoCH
Confluence with liquidity grabs
Premium / discount zone trading
Intraday & session-based trading
Works well with ICT, SMC, price action & structure-based strategies
Recommended Timeframes
Scalping: M1 – M5
Intraday (default): M5 – M15
Swing Trading: M15 – H1
(Default settings are optimized for intraday trading.)
Important Notes
This is not a signal indicator
No repainting
No buy/sell arrows
Designed as a decision-support tool, not an automated system
Always combine with proper risk management and confirmation.
RMI • Precision over noise.
Trade structure, not randomness.
APS - Sweeps & BOSThis indicator identifies pivot highs and lows, detects liquidity sweeps, and marks Break of Structure (BOS).
Key Features:
1) Pivot Detection :
The script uses configurable left and right bar parameters to identify significant pivot highs and lows, marking them with "X" labels on the chart. These pivots represent potential areas where price may react.
2) Sweep Detection :
A sweep occurs when price temporarily moves beyond a previous pivot level but closes back inside, suggesting a liquidity grab or stop hunt. The indicator draws horizontal lines connecting the original pivot to the sweep location and labels these events. Sweeps often precede reversals as they collect liquidity before moving in the opposite direction.
3) Break of Structure (BOS) :
BOS events are marked when price closes beyond a previous pivot level, indicating a potential shift in market structure. Bullish BOS occurs when price closes above a pivot high, while Bearish BOS occurs when price closes below a pivot low. These can signal continuation moves or trend changes.
4) Previous Day High/Low (PDH/PDL):
The indicator tracks the previous session's high and low (based on 6 PM ET session breaks, which auto-adjusts for DST) and displays whether these levels have been breached. It also calculates and displays a 50% equilibrium line between PDH and PDL.
5) Higher Timeframe Context :
A table in the top-right corner shows whether the higher timeframe close is in premium (above equilibrium) or discount (below equilibrium) territory. The HTF automatically adjusts based on your current timeframe.
6) Customization Options:
Adjustable pivot sensitivity (left/right bars)
Configurable sweep lookback period
Customizable colors, line styles, and label sizes for all elements
Toggle visibility for any component
Optional alerts for sweeps and BOS events
How to Use:
Sweeps near support/resistance often indicate liquidity grabs before reversals
BOS events can confirm directional bias changes
Use PDH/PDL levels as reference points for intraday trading
Consider HTF context when taking trades (discount zones for longs, premium zones for shorts)
Important Notes:
This indicator is designed for educational purposes and market analysis. Past patterns do not guarantee future results. Please follow proper risk management.
Smart Money Liquidity Structure AlgoSmart Money Liquidity Structure Algo is a rule-based trading strategy designed to analyze market structure, liquidity zones, and volatility conditions.
The script combines structure breakout logic, volatility filtering, order-block style price gaps, and Supertrend direction to generate systematic long and short signals.
This strategy is intended for educational and research purposes, helping traders study how liquidity, structure, and trend alignment can be combined into a single framework.
All signals are generated objectively using predefined conditions without repainting after bar close.
The strategy includes built-in risk management logic using ATR-based stop-loss and trailing exit mechanisms.
⚙️ Core Logic Overview
Market structure based on pivot-derived support and resistance
Volatility normalization filter to avoid low-activity periods
Price gap detection inspired by order-block concepts
Supertrend-based directional confirmation
Time-based holding logic before exits are allowed
✨ Features
Rule-based long and short entries
Liquidity & structure breakout detection
Volatility-filtered signal generation
Optional Supertrend trend filter
ATR-based stop-loss and trailing exits
Non-repainting logic after candle close
🧪 How to Use
Apply on liquid markets such as crypto, indices, or forex
Works best on intraday to higher timeframes
Adjust volatility filter and ATR multiplier based on the instrument
Always forward-test and paper-trade before live use
⚠️ Disclaimer
This script is not financial advice.
Trading involves risk, and past performance does not guarantee future results.
Use this strategy for analysis, testing, and educational purposes only.
SMC KZ NYThis script plots vertical lines on the chart to highlight KZ opens and closes based on New York time.
Key characteristics:
The indicator is plotted on the price chart (overlay).
It draws thin, dotted vertical lines at specific kz.
Killzones are calculated using the America/New_York timezone to ensure correct alignment.
Only weekdays (Monday to Friday) are considered.
The script draws sessions for today and up to one week back (maximum 7 calendar days).
All drawings are created once on the last bar to avoid duplicates and performance issues.
Each session has its own color for clear visual distinction:
Asia KZ(open)
London KZ (open and close)
New York / KZ Morning (open and close)
Lunch (open and close)
New York / KZ Afternoon (open and close)
The Asia KZ open at 20:00 NY is intentionally excluded on Fridays, as there is no valid Asia KZ start on Friday evening.
The vertical lines extend across the entire visible price range of the chart.
The script is optimized to stay well within TradingView object limits.
Purpose:
The indicator is designed to give traders a clean, non-intrusive visual reference for key KZ transitions, helping to analyze price behavior around killzones opens and closes without cluttering the chart.
INSTITUTIONAL MOMENTUM [@Ash_TheTrader]⚡ The Impulse Engine: Institutional Velocity & Smart Structure System
Subtitle/Short Description: Stop looking at just Open and Close. Visualize the speed of price action, detect institutional footprints, and trade off dynamic "living" market structure that flips and burns automatically. Developed by @Ash_TheTrader.
The Hidden Dimension of Price Action
Most traders look at a standard candlestick and see four data points: Open, High, Low, and Close.
But this hides the most critical information: The struggle.
Did the buyers step in aggressively in the first 5 minutes, pushing price to highs instantly? (Institutional buying)
Or did it take 59 minutes of slow, grinding effort to reach that high? (Retail exhaustion/Trap)
Standard candles look identical in both scenarios. The Impulse Engine, developed by @Ash_TheTrader, solves this by visualizing the "Speed of Price" (Velocity) directly onto your chart, combined with a state-of-the-art, dynamic market structure system.
It’s not just an indicator; it’s a complete market X-ray.
1. The Velocity Painter: See the Speed ⚡
The core of this system is the Velocity Engine. It looks "inside" your current timeframe bar (using lower timeframe data) to calculate how fast price traveled to its extremes.
It paints the bars based on institutional urgency, allowing you to ignore the noise and focus on the momentum.
The Visual Code:
⚡ NEON CYAN (Bullish Impulse) : Aggressive buying. Price ripped from the open to the high very quickly. This is where the smart money is stepping on the gas.
⚡ NEON MAGENTA (Bearish Impulse): Aggressive selling. Price crashed from the open to the low immediately.
💤 FADED GREY (Exhaustion/Trap): The "grind." Price took a long time to reach its extremes. These are often low-momentum environments or potential traps waiting to reverse.
STANDARD GREEN/RED: Normal market flow with no significant velocity extremes.
"Trade the Neon, Ignore the Grey." — @Ash_TheTrader
2. Smart Structure: "Living" Levels 🏗️
Old-school pivot indicators clutter your chart with endless historical lines that are no longer relevant. The Impulse Engine uses a "Living Structure" algorithm that manages the lifecycle of every support and resistance level.
It only shows you the two most relevant Resistance levels (R1, R2) above price, and the two most relevant Support levels (S1, S2) below price.
Risk-Based Classification:
You choose the structure based on your trading style in the settings:
Scalp Mode: Detects short-term, 5-bar swings. (Thin dotted lines).
Trend Mode: Detects standard trend swings (21-bar). (Dashed lines).
Major Swing: Detects deep, major structural points (60-bar). (Thick solid lines).
The "Flip & Burn" Mechanic (Viral Feature) 🔥
This is where the system gets smart. It understands market mechanics:
The Flip (Role Reversal): If a Resistance level is broken by a candle close, it automatically turns Gold and becomes Support (Flip). The same applies to Support turning into Resistance. You no longer need to guess if an old level will hold from the other side.
The Burn (Auto-Cleaning): If a "Flipped" level is broken again, the system recognizes it has lost its structural integrity. The line is instantly "burned" (removed from the chart).
This ensures your chart only ever shows levels that are active and respected.
3. Whale Signs: The Footprint of Big Money 🐋
Sometimes, velocity isn't enough. You need to see raw power.
The Whale Sign feature detects massive expansions in volatility. It flags any candle whose range is significantly larger (default 2x) than the average of the previous two candles.
💚 Green Triangle + $ (Below Bar): A massive bullish expansion candle. A "Wake Up" call for longs.
❤️ Red Triangle + $ (Above Bar): A massive bearish expansion candle. A warning sign for shorts.
These often precede sustained velocity moves.
4. The Pro HUD (Heads-Up Display) 💻
In the bottom right corner, the dynamic HUD gives you a real-time health check of the current candle.
Status Header: Instantly tells you if the current candle is IMPULSE, EXHAUSTION, or NORMAL.
Live Velocity %: The exact speed score. The text color changes to Neon during impulses and fades to grey during exhaustion.
Mode Info: Reminds you which risk setting you are currently using (e.g., Mode: ).
Signature: The official @Ash_TheTrader stamp of quality.
How to Trade With The Impulse Engine
This system is designed for confluence. Never trade a signal in isolation.
📈 Strategy 1 : The "Velocity Bounce" (Trend Continuation)
Ensure the market is trending (e.g., making higher highs).
Wait for price to pull back to a Smart Support level (Cyan dashed line or Gold "Flip" line).
Trigger: Look for a Neon Cyan Impulse Candle to form right off that support level. This confirms institutions are defending the structure with speed.
📉 Strategy 2: The "Whale Breakout"
Identify a consolidation zone below a Smart Resistance level.
Trigger: A Whale Sign ($) appears on a candle that successfully closes above the Resistance level.
Confirmation: The very next candle should ideally be a Neon Impulse candle continuing the move.
Conclusion
The markets are moved by aggression and speed. By obscuring this data, standard charts put you at a disadvantage.
The Impulse Engine brings this hidden data to the forefront, combining institutional velocity detection with smart, automated market structure that reacts to price just like a professional trader would.
Trade faster, trade smarter.
Developed by @Ash_TheTrader.
(Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.)
SMC Sessions NYThis script plots vertical session markers on the chart to highlight session opens and closes based on New York time.
Key characteristics:
The indicator is plotted on the price chart (overlay).
It draws thin, dotted vertical lines at specific session times.
Sessions are calculated using the America/New_York timezone to ensure correct alignment.
Only weekdays (Monday to Friday) are considered.
The script draws sessions for today and up to one week back (maximum 7 calendar days).
All drawings are created once on the last bar to avoid duplicates and performance issues.
Each session has its own color for clear visual distinction:
Asia session (open)
London session (open and close)
New York / Kill Zone Morning (open and close)
Lunch session (open and close)
New York / Kill Zone Afternoon (open and close)
The Asia session open at 20:00 NY is intentionally excluded on Fridays, as there is no valid Asia session start on Friday evening.
The vertical lines extend across the entire visible price range of the chart.
The script is optimized to stay well within TradingView object limits.
Purpose:
The indicator is designed to give traders a clean, non-intrusive visual reference for key session transitions, helping to analyze price behavior around session opens and closes without cluttering the chart.
This approach is suitable for intraday and session-based trading models, including SMC-style workflows.
The Physics Engine [@Ash_TheTrader]🏛️ Welcome to the Physics of Finance
By @Ash_TheTrader
Traditional technical analysis often relies on "lagging" indicators. Tools like the RSI or moving averages tell you where price has been. While useful, they are like driving a car looking only in the rearview mirror.
The Kinematic Impulse Engine (KIE) is different. It is designed to be a leading indicator of momentum shifts.
It doesn't just look at price; it treats price action like a physical object moving through space to measure its Velocity (Speed), Acceleration (G-Force), and Mass (Volume). By understanding the physics behind a move, we can determine if a trend is a powerful impulse or an exhausted drift waiting to reverse.
⚛️ The Core Concept: Trading with G-Force
If you step on the gas pedal in a car, you feel pushed back into your seat. That is acceleration (positive G-Force). When you slam on the brakes, you are thrown forward. That is deceleration (negative G-Force).
The market works the same way.
Standard momentum indicators only measure speed. The KIE measures how fast that speed is changing.
The Problem with Standard Indicators: Price can be moving higher (high speed), but the rate at which it is moving higher is slowing down (deceleration). A standard indicator will still look bullish right up until the reversal happens.
The KIE Solution: The KIE detects that deceleration instantly, warning you that the "G-Force" pushing the price up has vanished, often before the price peaks.
🎨 Visual Decoder: Reading the Heatmap
We have eliminated the need to stare at complex oscillator lines below your chart. The KIE paints the candles directly based on their "Kinetic Energy."
1. Neon Cyan : The Impulse (High G-Force) 🚀
Physics State: High Velocity + Positive Acceleration.
Meaning: The market has "pedal to the metal." Buyers are aggressive, and the move is speeding up. This is where you want to be in a trade.
Signal: Look for the small triangles (🚀) marking the start of these impulse moves out of the noise.
2. Deep Purple : Exhaustion (Braking) 🛑
Physics State: High Velocity + Negative Acceleration (Deceleration).
Meaning: The car is still moving forward fast, but the driver has taken their foot off the gas or hit the brakes.
Signal: This is a massive warning sign. If you are long and candles turn purple, the trend is running on fumes. Expect consolidation or a reversal soon.
3. Dark Gray : Equilibrium (Chop) 💤
Physics State: Low Velocity.
Meaning: No significant energy present. The market is chopping sideways.
Signal: Stay out of the market or use range-bound strategies.
⚠️ Unique Feature: Gravity Divergence Detection
This is the most powerful feature of the Kinematic Impulse Engine. It detects when price action is defying the laws of physics.
Imagine throwing a ball into the air. As it reaches the very peak of its arc, it is still moving upward, but gravity is decelerating it rapidly just before it falls back down.
The KIE detects this exact moment in the market:
Gravity Sell Signal: Price makes a new high, but Acceleration (G-Force) crashes rapidly. The market is fighting gravity and will likely snap back.
If you see a "GRAVITY" label pop up on a Deep Purple candle at a high, take notice.
🧠 The Engine Room (Under the Hood)
For the technical traders, here is how @Ash_TheTrader designed the engine:
Relative Velocity: Price changes are normalized against Average True Range (ATR) volatility. A $10 move in Bitcoin is not the same as a $10 move in a penny stock; the KIE adjusts for this automatically.
Mass Integration (Volume Weighting): In physics, Force = Mass x Acceleration. The KIE optionally uses relative Volume as "Mass." A move backed by high volume has more "weight" and is harder to stop than a low-volume move.
The HUD: The on-screen dashboard gives you real-time readings of the current Velocity and raw G-Force metrics, along with an instant trend status summary.
🛡️ How to Use This in Your Trading
The Breakout Trader: Wait for gray candles (chop). Enter when the first Neon Cyan candle appears, ideally accompanied by an Impulse Triangle (🚀). Ride the cyan until it turns purple.
The Reversal Trader: Wait for an extended run of cyan candles. When the candles turn Deep Purple and you see a "GRAVITY" warning label, look for shorting opportunities as the momentum is exhausted.
Trade smart. Trade with physics.
Developed by @Ash_TheTrader
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
ForzAguanno - Premium / Discount (Range Glissant)Premium / Discount Zones – Dynamic Range (Fibo-based)
This indicator highlights Premium, Discount, and Equilibrium zones using a dynamic Fibonacci range calculated from recent price action.
It is designed to help traders contextualize price and avoid taking trades in unfavorable locations (e.g. buying too high or selling too low).
- How it works
The indicator automatically:
- Detects the highest high (HH) and lowest low (LL) over a rolling range
- Builds a Fibonacci-style structure between LL → HH
- Defines three key areas:
Discount Zone (lower part of the range)
Equilibrium Zone (around the 50% level)
Premium Zone (upper part of the range)
Two additional extreme levels are used:
0.075 → deep discount
0.925 → deep premium
These levels help isolate areas where price is statistically stretched.
- Visual elements
- Horizontal levels:
- Green → Discount
- Purple → Equilibrium
- Red → Premium
- Text labels are placed inside each zone for instant readability.
Zones are extended into the future for cleaner visualization.
- How to use it
This tool is best used as a context filter, not a standalone signal generator.
Typical use cases:
Look for longs in Discount
Look for shorts in Premium
Use Equilibrium as a neutral / decision zone
Combine with structure, momentum, or entry models
It works particularly well with:
Market structure concepts
Smart money / range-based trading
Session-based strategies
⚠️ Important notes
This indicator does not predict direction
It provides context, not signals
Always combine with proper risk management
Final thoughts
The goal of this indicator is simplicity and clarity:
Know where price is located inside its range before taking a trade.
If you find it useful, feel free to share feedback.
IFVG Pro v.1Detects IFVGs in real time.
Includes alerts for specific timeframes.
This is my first indicator so I will be continually working on it to make it better and more accurate. Thanks for trying it out!
Market Structure Pivots with BOS & CHoCH [zazenio]What is Market Structure?
Market structure is simply the pattern of highs and lows that price creates as it moves. When you look at any chart, you'll notice price doesn't move in a straight line — it swings up, pulls back, swings up again (in an uptrend), or the opposite in a downtrend.
These swing points — the peaks and valleys — are what traders call pivots . Identifying them correctly is the foundation of understanding where a market has been and where it might go next.
What This Indicator Does
Swing Pivots automatically marks these peaks and valleys on your chart so you don't have to draw them manually. It works on any market — stocks, crypto, forex, futures, indices — and on any timeframe.
Beyond just marking pivots, this indicator also draws BOS (Break of Structure) and CHoCH (Change of Character) lines — two essential concepts that help you understand when a trend is continuing or potentially reversing.
How Pivots Are Detected
This indicator confirms pivots based on price structure, not a fixed bar count.
Here's how it works:
A swing high is confirmed when price breaks below the previous swing low. At that moment, we know the high was real — price tried to go higher, failed, and reversed. The market "proved" that level was a genuine turning point.
A swing low is confirmed when price breaks above the previous swing high. The same logic applies — price tried to go lower, failed, and reversed direction.
This creates a natural alternation: high, low, high, low. Each pivot is validated by the market's actual behavior, not by waiting for an arbitrary number of bars to pass.
Understanding BOS and CHoCH
Once you can identify pivots, the next step is understanding what happens when price breaks through them. This is where BOS and CHoCH come in.
BOS (Break of Structure)
A Break of Structure occurs when price continues in the direction of the current trend by breaking a previous pivot level.
In an uptrend : Price breaks above a previous swing high → This signals strength. Buyers are pushing price to new highs, and the trend is likely to continue.
In a downtrend : Price breaks below a previous swing low → This signals weakness. Sellers are pushing price to new lows, and the trend is likely to continue.
Think of BOS as the market saying "the trend is still intact." Each BOS confirms that the dominant side (buyers or sellers) remains in control.
CHoCH (Change of Character)
A Change of Character occurs when price breaks a pivot level in the opposite direction of the current trend. This is an early warning signal that the trend may be reversing.
In an uptrend : Price breaks below a previous swing low → This is unexpected. In a healthy uptrend, lows should hold. When they don't, it suggests buyers are losing control and sellers may be taking over.
In a downtrend : Price breaks above a previous swing high → This is unexpected. In a healthy downtrend, highs should hold. When they don't, it suggests sellers are losing control and buyers may be stepping in.
Think of CHoCH as the market's behavior "changing character" — it's no longer acting the way it should if the trend were healthy.
Why BOS and CHoCH Matter
These concepts give you a framework for reading what the market is actually doing:
BOS tells you the trend is continuing — stay with it or look for entries in that direction
CHoCH warns you the trend may be ending — time to be cautious, take profits, or look for trades in the new direction
By visualizing these breaks directly on your chart, you don't have to guess. You can see at a glance whether the market is trending smoothly (consecutive BOS) or showing signs of reversal (CHoCH).
Why This Approach Works
Most pivot indicators use a "lookback" method — they wait for a certain number of bars (say, 5 or 10) on each side of a candle before confirming it as a pivot. This creates a fixed delay. By the time the pivot appears on your chart, price has already moved on.
This indicator doesn't wait. It confirms pivots the moment price structure proves them. The result is pivots that align with how traders actually read charts — based on breaks of structure, not arbitrary countdowns.
Settings
Configuration
Swing Width : Controls how sensitive the detection is. Higher numbers show only major swings; lower numbers capture smaller moves within the structure.
Pivot Settings
High/Low Color : Customize the colors of swing high and swing low markers
Style : Choose between Triangle or Circle markers
Size : Adjust the size of pivot markers (Auto, Tiny, Small, Normal)
Structure Lines
Show CHoCH : Toggle Change of Character lines on/off
CHoCH Color : Customize the color of CHoCH lines
CHoCH Label : Show/hide the "CHoCH" text label
Show BOS : Toggle Break of Structure lines on/off
BOS Color : Customize the color of BOS lines
BOS Label : Show/hide the "BOS" text label
Use Cases
See the "skeleton" of price action at a glance
Identify potential support and resistance levels
Understand if the market is trending or ranging
Spot trend continuations with BOS lines
Catch early reversal signals with CHoCH lines
Build a foundation for more advanced trading strategies
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Version History
v1.1
Added BOS (Break of Structure) lines to visualize trend continuation
Added CHoCH (Change of Character) lines to identify potential trend reversals
Added toggle options for BOS and CHoCH visibility
Added customizable colors for structure lines
Added optional labels for BOS and CHoCH
v1.0
Initial release
Automatic swing high and swing low detection
Structure-based pivot confirmation (not fixed lookback)
Customizable pivot markers (style, size, colors)
Adjustable swing width sensitivity
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Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
Swing Pivots - Market Structure High Low [zazenio]What is Market Structure?
Market structure is simply the pattern of highs and lows that price creates as it moves. When you look at any chart, you'll notice price doesn't move in a straight line — it swings up, pulls back, swings up again (in an uptrend), or the opposite in a downtrend.
These swing points — the peaks and valleys — are what traders call pivots. Identifying them correctly is the foundation of understanding where a market has been and where it might go next.
What This Indicator Does
Swing Pivots automatically marks these peaks and valleys on your chart so you don't have to draw them manually. It works on any market — stocks, crypto, forex, futures, indices — and on any timeframe.
How Pivots Are Detected
This indicator confirms pivots based on price structure, not a fixed bar count.
Here's how it works:
A swing high is confirmed when price breaks below the previous swing low. At that moment, we know the high was real — price tried to go higher, failed, and reversed. The market "proved" that level was a genuine turning point.
A swing low is confirmed when price breaks above the previous swing high. The same logic applies — price tried to go lower, failed, and reversed direction.
This creates a natural alternation: high, low, high, low. Each pivot is validated by the market's actual behavior, not by waiting for an arbitrary number of bars to pass.
Why This Matters
Most pivot indicators use a "lookback" method — they wait for a certain number of bars (say, 5 or 10) on each side of a candle before confirming it as a pivot. This creates a fixed delay. By the time the pivot appears on your chart, price has already moved on.
This indicator doesn't wait. It confirms pivots the moment price structure proves them. The result is pivots that align with how traders actually read charts — based on breaks of structure, not arbitrary countdowns.
Settings
Swing Width: Controls how sensitive the detection is. Higher numbers show only major swings; lower numbers capture smaller moves within the structure.
Style/Size/Colors: Customize how the pivot markers look on your chart.
Use Cases
See the "skeleton" of price action at a glance
Identify potential support and resistance levels
Understand if the market is trending or ranging
Build a foundation for more advanced concepts like Break of Structure (BOS) and Change of Character (CHoCH)
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Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
