Market Structure Trailing Stop MTF [Inspired by LuxAlgo]# Market Structure Trailing Stop MTF
**OPEN-SOURCE SCRIPT**
*208k+ views on original · Modified for MTF Support*
This indicator is a direct adaptation of the renowned **Market Structure Trailing Stop** by **LuxAlgo** (original script: [Market Structure Trailing Stop ]()). The core logic remains untouched, providing dynamic trailing stops based on market structure breaks (CHoCH/BOS). The **only modification** is the addition of **Multi-Timeframe (MTF) support**, allowing users to apply the trailing stops and structures from **higher timeframes (HTF)** directly on their current chart. This enhances usability for traders analyzing cross-timeframe confluence without switching charts.
**Special thanks to LuxAlgo** for releasing this powerful open-source tool under CC BY-NC-SA 4.0. Your contributions to the TradingView community have inspired countless traders—grateful for the solid foundation!
## 🔶 How the Script Works: A Deep Dive
At its heart, this indicator detects **market structure shifts** (bullish or bearish breaks of swing highs/lows) and uses them to generate **adaptive trailing stops**. These stops trail the price while protecting profits and acting as dynamic support/resistance levels. The MTF enhancement pulls this logic from user-specified higher timeframes, overlaying HTF structures and stops on the lower timeframe chart for seamless multi-timeframe analysis.
### Core Logic (Unchanged from LuxAlgo's Original)
1. **Pivot Detection**:
- Uses `ta.pivothigh()` and `ta.pivotlow()` with a user-defined lookback (`length`) to identify swing highs (PH) and lows (PL).
- Coordinates (price `y` and bar index/time `x`) are stored in persistent variables (`var`) for tracking recent pivots.
2. **Market Structure Detection**:
- **Bullish Structure (BOS/CHoCH)**: Triggers when `close > recent PH` (break above swing high).
- If `resetOn = 'CHoCH'`, resets only on major shifts (Change of Character); otherwise, on all breaks.
- Sets trend state `os = 1` (bullish) and highlights the break with a horizontal line (dashed for CHoCH, dotted for BOS).
- Initializes trailing stop at the local minimum (lowest low since the pivot) using a backward loop: `btm = math.min(low , btm)`.
- **Bearish Structure**: Triggers when `close < recent PL`, mirroring the bullish logic (`os = -1`, local maximum for stop).
- Structure state `ms` tracks the break type (1 for bull, -1 for bear, 0 neutral), resetting based on user settings.
3. **Trailing Stop Calculation**:
- Tracks **trailing max/min**:
- On new bull structure: Reset `max = close`.
- On new bear: Reset `min = close`.
- Otherwise: `max = math.max(close, max)` / `min = math.min(close, min)`.
- **Stop Adjustment** (the "trailing" magic):
- On fresh structure: `ts = btm` (bull) or `top` (bear).
- In ongoing trend: Increment/decrement by a percentage of the max/min change:
- Bull: `ts += (max - max ) * (incr / 100)`
- Bear: `ts += (min - min ) * (incr / 100)`
- This creates a **ratcheting effect**: Stops move favorably with the trend but never against it, converging toward price at a controlled rate.
- **Visuals**:
- Plots `ts` line colored by trend (teal for bull, red for bear).
- Fills area between `close` and `ts` (orange on retracements).
- Draws structure lines from pivot to break point.
4. **Edge Cases**:
- Variables like `ph_cross`/`pl_cross` prevent multiple triggers on the same pivot.
- Neutral state (`ms = 0`) preserves prior `max/min` until a new structure.
### MTF Enhancement (Our Addition)
- **request.security() Integration**:
- Wraps the entire core function `f()` in a security call for each timeframe (`tf1`, `tf2`).
- Returns HTF values (e.g., `ts1`, `os1`, structure times/prices) to the chart's context.
- Uses `lookahead=barmerge.lookahead_off` for accurate historical repainting-free data.
- Structures are drawn using `xloc.bar_time` to align HTF lines precisely on the LTF chart.
- **Multi-Output Handling**:
- Separate plots/fills/lines for each TF (e.g., `plot_ts1`, `plot_ts2`).
- Colors and toggles per TF to distinguish HTF1 (e.g., teal/red) from HTF2 (e.g., blue/maroon).
- **Benefits**: Spot HTF bias on LTF entries, e.g., enter longs only if both TF1 (1H) and TF2 (4H) show bullish `os=1`.
This keeps the script lightweight—**no repainting, max 500 lines**, and fully compatible with LuxAlgo's original behavior when TFs are set to the chart's timeframe.
## 🔶 SETTINGS
### Core Parameters
- **Pivot Lookback** (`length = 14`): Bars left/right for pivot detection. Higher = smoother structures, fewer signals; lower = more noise.
- **Increment Factor %** (`incr = 100`): Speed of stop convergence (0-∞). 100% = full ratchet (mirrors max/min exactly); <100% = slower trail, reduces whipsaws.
- **Reset Stop On** (`'CHoCH'`): `'CHoCH'` = Reset only on major reversals (dashed lines); `'All'` = Reset on every BOS/CHoCH (tighter stops).
### MTF Support
- **Timeframe 1** (`tf1 = ""`): HTF for first set (e.g., "1H"). Empty = current chart.
- **Timeframe 2** (`tf2 = ""`): Second HTF (e.g., "4H"). Enables dual confluence.
### Display Toggles
- **Show Structures** (`true`): Draws horizontal lines for breaks (per TF colors).
- **Show Trailing Stop TF1/TF2** (`true`): Plots the stop line.
- **Show Fill TF1/TF2** (`true`): Area fill between close and stop.
### Candle Coloring (Optional)
- **Color Candles** (`false`): Enables custom `plotcandle` for body/wick/border.
- **Candle Color Based On TF** (`"None"`): `"TF1"`, `"TF2"`, or none. Colors bull trend green, bear red.
- **Candle Colors**: Separate inputs for bull/bear body, wick, border (e.g., solid green body, transparent wick).
### Alerts
- **Enable MS Break Alerts** (`false`): Notifies on structure breaks (bull/bear per TF) **only on bar close** (`barstate.isconfirmed` + `alert.freq_once_per_bar_close`).
- **Enable Stop Hit Alerts** (`false`): Triggers on stop breaches (long/short per TF), using `ta.crossunder/crossover`.
### Colors
- **TF1 Colors**: Bullish (teal), Bearish (red), Retracement (orange).
- **TF2 Colors**: Bullish (blue), Bearish (maroon), Retracement (orange).
- **Area Transparency** (`80`): Fill opacity (0-100).
## 🔶 USAGE
Trailing stops shine in **trend-following strategies**:
- **Entries**: Use structure breaks as signals (e.g., long on bullish BOS from HTF1).
- **Exits**: Trail stops for profit-locking; alert on hits for automation.
- **Confluence**: Overlay HTF1 (e.g., 1H) for bias, HTF2 (e.g., Daily) for major levels—enter LTF only on alignment.
- **Risk Management**: Lower `incr` avoids early stops in chop; reset on `'All'` for aggressive trailing.
! (i.imgur.com)
*HTF1 shows bullish structure (teal line), trailing stop ratchets up—long entry confirmed on LTF pullback.*
! (i.imgur.com)
*TF1 (blue) bearish, TF2 (red) neutral—avoid shorts until alignment.*
! (i.imgur.com)
*Colored based on TF1 trend: Green bodies on bull `os=1`.*
Pro Tip: Test on demo—pair with LuxAlgo's other tools like Smart Money Concepts for full structure ecosystem.
## 🔶 DETAILS: Mathematical Breakdown
On bullish break:
- Local min: `btm = ta.lowest(n - ph_x)` (optimized loop equivalent).
- Stop init: `ts = btm`.
- Update: `Δmax = max - max `, `ts_new = ts + Δmax * (incr/100)`.
Bearish mirrors with `Δmin` (negative, so decrements `ts`).
In MTF: HTF `time` aligns lines via `line.new(htf_time, level, current_time, level, xloc.bar_time)`.
No logs/math libs needed—pure Pine v5 efficiency.
## Disclaimer
This is for educational purposes. Not financial advice. Backtest thoroughly. Original by LuxAlgo—modify at your risk. See TradingView's (www.tradingview.com). Licensed under CC BY-NC-SA 4.0 (attribution to LuxAlgo required).
SMC
Session Engine — Market Opens, Killzones & Levels — SMC/ICTSession Engine — Market Opens, Killzones & Institutional Levels (Tokyo • London • New York) — SMC/ICT — TradingATH (PueblaATH)
Precision. Sessions. Structure.
Session Engine maps the institutional heartbeat of the day across Tokyo , London , and New York . It draws timezone-accurate Market Open Lines , clean Killzones (incl. London–NY overlap), and a rock-solid, timeframe-safe suite of Previous High/Low Levels (PDH/PDL/PWH/PWL/PMH/PML). On top, a compact Session Comparison Table with an integrated ADR panel shows extension, momentum context, and distance to key levels — at a glance.
Designed for SMC/ICT Traders who demand clarity and reliability, this tool stays stable when you change timeframe, reload, or zoom.
Map the day like a Pro : timezone-true Opens, configurable Killzones, TF-safe PDH/PDL/PWH/PWL/PMH/PML , and a sleek ADR panel beneath a Session Comparison Table . Built for precision SMC/ICT Execution . Zero flicker, full control.
Why Traders Love It
Timezone-Accurate Session Engine — Tokyo, London, New York opens and the London–NY overlap, all resolved to bar-time for precise plotting on any symbol.
Killzones you can trust — choose full-column height or price-bounded height with custom top/bottom tick offsets and label placement.
Bulletproof Previous Levels — PDH, PDL, PWH, PWL, PMH, PML are cached and only refresh on true D/W/M boundaries, eliminating the classic “levels disappear on TF change” problem.
Actionable Context — a compact Session Comparison Table (vs previous session & vs previous day) plus an ADR panel with extension thresholds, distance to PDH/PDL, and current H-L range.
Serious Customization — dotted/solid lines, widths, label size & alignment, auto label backgrounds, block transparency, weekend & timeframe filters, and more.
Performance-Minded — persistent objects are updated in place (not spam-created) to keep your chart crisp and responsive.
What You’ll See
Market Opens — Vertical opens for TOK/LDN/NY with dotted/solid styling, width control, infinite or bounded height, and optional labels.
Killzones + Overlap — Transparent time boxes for session windows (and London–NY overlap). Optional labels, adjustable transparency, and height mode.
Institutional Levels — PDH / PDL / PWH / PWL / PMH / PML with length modes: Infinite, N bars, or End of day. Optional labels with typographic control.
Session Comparison Table — For each session: bias vs previous session and previous day, with optional Δ% column.
ADR Panel — 24h rolling ADR% consumption with two attention thresholds, distance to PDH/PDL (price units), and current H-L range.
How It Works
Session Timing uses explicit IANA timezones (Asia/Tokyo, Europe/London, America/New_York) then anchors to bar_time for pixel-perfect placement.
Killzones are persistent boxes that reset only on daily change, preventing redundant object creation.
Previous Levels are requested once per true period roll (D/W/M) and stored locally; this cache keeps lines stable when switching TFs or reloading charts.
Level Line Length is enforced per-object (Infinite, N bars, End of day) with dynamic x2 handling — no redraw flicker.
ADR uses a timeframe-agnostic 24h rolling window for H/L/range; ADR length is defined in “days” and mapped to bars for any timeframe.
How to Use
Set Session Times (defaults are standard). Adjust the London–NY overlap if your venue differs.
Style your Opens & Killzones — line width, dotted/solid, infinite or bounded height, label font size/align/background.
Choose Level Behavior — Infinite, N bars, or End of day for PD/ PW / PM lines; toggle labels as needed.
Read the Table and ADR — quick bias vs previous session/day, Δ% if you enable it; ADR panel highlights extension with blink thresholds and shows live distance to PDH/PDL.
Inputs
Schedules — Open times + killzone windows for TOK/LDN/NY, and London–NY overlap.
Style — Line width, dotted/solid, label sizes & alignment, auto backgrounds.
Heights — Infinite or tick-bounded line height; full-column or tick-bounded killzones.
Levels — Show/hide PDH/PDL/PWH/PWL/PMH/PML; length mode; label options.
Table & ADR — Font size, arrows, Δ% column, ADR length (days), blink thresholds, show/hide rows.
Filters — Hide visuals on specified timeframe ranges; optional weekend suppression.
Best Practices
Use “End of day” for tidy level lines that still convey right-hand context.
Set ADR thresholds to your instrument’s personality (e.g., 80/120 for FX, 100/150 for crypto).
On exotic trading sessions, verify the IANA timezone alignment and tweak inputs accordingly.
If you stack many tools, consider disabling unused sessions/rows to stay within object limits.
What Makes It Original
A cohesive Session Engine architecture that unifies timezone-true Opens, configurable Killzones/Overlap, and TF-safe previous levels — tailored for SMC/ICT execution.
Robust caching that eliminates TF-switch flicker and preserves dependent calculations (distance to PDH/PDL, ADR%) without gaps.
A unified ADR panel directly under the session table with real-time extension signaling and distance-to-PDH/PDL — pragmatic, trade-ready context you won’t find in generic session scripts.
Deep length & typography controls so visuals are informative and elegant.
Notes & Disclaimer (Originality & Rights)
Original Work Notice — Please read — This script/indicator is an original work created exclusively by TradingATH ( PueblaATH ). It is not derived from, copied from, or authored by any other person or entity. Any resemblance to other scripts is coincidental and limited to the use of public and widely known trading concepts.
Usage & Publication — Redistribution, cloning, or republishing this script (in whole or in part) without the explicit written permission of TradingATH ( PueblaATH ) is prohibited. By using this tool, you acknowledge the author’s exclusive authorship and associated rights.
No Financial Advice — This tool is for educational/informational purposes only and does not constitute financial advice. Markets carry risk; manage your risk and make your own decisions.
Order Blocks & Market Structure (SMC)# Order Blocks & Market Structure (SMC)
## 📊 Overview
A Smart Money Concepts indicator that identifies institutional order blocks (OB), market structure breaks (MSB), and breaker blocks (BB) with volume-based strength analysis. Designed for traders seeking to identify institutional accumulation/distribution zones and market structure shifts.
## 🎯 Originality Statement
This indicator combines multiple analytical approaches into a unified system:
- **Multi-level OB strength classification** using volume spike detection and body ratio analysis (OB/OB+/OB++)
- **Automatic lifecycle tracking** that converts invalidated Order Blocks to Breaker Blocks with polarity reversal
- **Volume context integration** showing buyer/seller dominance percentage at block formation
- **Dynamic zone extension** that updates OB boundaries until price interaction or invalidation
- **Delayed touch alerts** (5-bar minimum) to filter premature retest signals
Unlike simple order block scripts that only mark zones, this tool provides strength assessment, volume analysis, and intelligent state management throughout the block lifecycle.
## ⚙️ Technical Methodology
**Market Structure Detection:**
Uses pivot-based swing point analysis to identify trend changes. When price closes above a pivot high (bullish MSB) or below a pivot low (bearish MSB), the structure is marked with horizontal reference lines.
**Order Block Identification:**
Searches the specified lookback period for the lowest low (bullish MSB) or highest high (bearish MSB). When a strong directional candle is found (opposite color to trend direction), its range becomes an OB zone.
**Strength Analysis:**
- Compares candle volume against 20-period SMA with configurable multiplier (1.2-3.0x)
- Calculates body-to-range ratio to assess candle strength (0.4-0.8 threshold)
- Assigns strength levels: Standard (no conditions), Strong (one condition), Premium (both conditions)
**Breaker Block Conversion:**
When price closes completely through an OB zone (bullish OB broken downward or bearish OB broken upward), the zone automatically converts to BB with reversed polarity and color.
## 📋 Features
**Market Structure (MSB):**
- Detects bullish and bearish structure breaks
- Configurable swing length (5-50 bars)
- Visual markers with horizontal lines
**Order Blocks (OB):**
- Three strength tiers: OB (standard), OB+ (strong), OB++ (premium)
- Volume percentage display (buyer vs seller dominance)
- Dynamic zone extension until invalidation
**Breaker Blocks (BB):**
- Automatic conversion from failed OBs
- Polarity tracking (bullish ↔ bearish)
- Fixed zones after conversion
## 🔧 Settings Documentation
**Market Structure Group:**
*Show Market Structure* - Enable/disable MSB detection and line drawing
- Default: ON
- When OFF: No structure lines or labels appear
*MSB Labels* - Display text labels at structure break points
- Default: ON
- Labels show "MSB" at the break candle
*Swing Length* - Lookback period for pivot point detection
- Range: 5-50 bars
- Default: 10
- Higher values = longer-term structure, fewer signals
- Lower values = short-term structure, more signals
*Bull Color* - Color for bullish elements (MSB, bullish OB, bullish BB)
- Default: #089981 (green)
*Bear Color* - Color for bearish elements (MSB, bearish OB, bearish BB)
- Default: #f23645 (red)
**Order Block Group:**
*Order Blocks* - Enable/disable OB detection and zone drawing
- Default: ON
- When OFF: No boxes appear (MSB lines still show if enabled)
*OB Strength* - Enable multi-level strength classification
- Default: ON
- When ON: Labels show OB/OB+/OB++ based on analysis
- When OFF: All zones labeled simply as "OB"
*Volume %* - Display buyer/seller volume percentage
- Default: ON
- Shows "X% Buy" or "X% Sell" inside zones
- Calculated over 10 bars from zone formation
*OB Lookback* - How many bars to search for OB candle
- Range: 5-30 bars
- Default: 10
- Searches for lowest low (bullish) or highest high (bearish) within this range
*Vol Threshold* - Minimum volume multiplier for strength upgrade
- Range: 1.2-3.0x
- Default: 1.5x
- Volume must exceed (20-period SMA × threshold) for OB+ or OB++
*Body Ratio* - Minimum body-to-range ratio for strength upgrade
- Range: 0.4-0.8
- Default: 0.6
- Candle body must be at least this proportion of total range for OB+ or OB++
## 📖 How to Use
**For Trend Following:**
1. Wait for MSB in your desired direction
2. OB forms in the breakout area (the institutional entry zone)
3. Price may immediately continue or pull back to retest OB
4. Enter on OB retest with "OB Touch" alert (after 5+ bars from creation)
5. Higher strength OB (OB+, OB++) indicates stronger institutional activity
**For Reversal Trading:**
1. Identify Breaker Blocks (former OBs that failed)
2. BB represents potential reversal zone with opposite polarity
3. Wait for MSB in BB direction for confirmation
4. Enter on pullback to BB zone
**Volume Analysis:**
- 70%+ Buy/Sell dominance = strong institutional bias
- 60-70% = moderate bias
- 50-60% = weak bias, use caution
**Optimal Conditions:**
- Works best on trending markets (4H, Daily, Weekly timeframes)
- Less effective in tight ranges or low-volume periods
- Major pairs/assets with good liquidity recommended
## 🔔 Alert Conditions (8 Types)
The indicator provides the following alerts:
1. **Bullish MSB** - Upward market structure break detected
2. **Bearish MSB** - Downward market structure break detected
3. **Bullish OB Created** - New bullish order block formed
4. **Bearish OB Created** - New bearish order block formed
5. **Bullish BB Created** - Bearish OB converted to bullish BB
6. **Bearish BB Created** - Bullish OB converted to bearish BB
7. **Bullish OB Touch** - Price revisited bullish OB (minimum 5 bars after creation)
8. **Bearish OB Touch** - Price revisited bearish OB (minimum 5 bars after creation)
Touch alerts include a 5-bar delay to avoid alerting on immediate continuation moves.
## ⚠️ Limitations & Risk Disclosure
**Known Limitations:**
- MSB signals can produce whipsaws in ranging or choppy markets
- Not all OB touches result in successful trades
- OB zones may be tested multiple times before activation
- Volume data may be unavailable or unreliable on some instruments/exchanges
- Strength analysis requires sufficient volume history
- Historical repainting: OB zones extend dynamically as price interacts with them
**Risk Considerations:**
This indicator is designed for educational and analytical purposes. It identifies potential institutional zones but does not predict price movement. Past identification of zones does not guarantee future trading success. OB and BB zones represent areas of interest, not guaranteed support/resistance. Always use proper risk management, combine with other analysis methods, and never risk more than you can afford to lose.
## 🎨 Visual Guide
**Colors & Symbols:**
- 🟢 Green boxes = Bullish Order Blocks / Bullish Breaker Blocks
- 🔴 Red boxes = Bearish Order Blocks / Bearish Breaker Blocks
- Horizontal lines = Market Structure Break levels
- "MSB" labels = Structure break points (above/below line)
- "OB" / "OB+" / "OB++" labels = Order Block strength (right side of box)
- "BB" labels = Breaker Block (converted from OB)
- "X% Buy/Sell" labels = Volume analysis (center of box)
**Box Behavior:**
- OB zones extend to the right as long as price interacts with them (not broken)
- When OB is invalidated, it stops extending and converts to BB
- BB zones remain fixed at their invalidation point
## 💡 Best Practices
- Focus on OB+ and OB++ zones for higher probability setups
- Confirm OB touches with price action (rejection wicks, engulfing patterns)
- Use multiple timeframe analysis (Daily OB + 4H entry)
- Avoid trading in the first 1-2 bars after OB creation (wait for touch alert)
- Consider volume % - avoid zones with <60% dominance
- Combine with other confluence factors (Fibonacci, support/resistance)
- Set realistic stop losses beyond the OB/BB zone
---
**Version:** 1.0
**Pine Script:** Version 6
**Category:** Smart Money Concepts, Order Flow, Market Structure
For questions or suggestions, use the TradingView comments section below.
Custom Horizontal Lines | Trade Symmetry📊 Custom Horizontal Lines
🔍 Overview
The Custom Horizontal Lines is a precision utility designed for traders who perform manual higher-timeframe analysis and want to preserve their marked price levels directly on the chart.
It doesn’t calculate or detect anything automatically — instead, it acts as your personal level memory, preserving your analyzed zones and reference prices throughout the session.
Ideal for traders who manually mark the High, Low, Open, Close, Mean Thresholds, and Quarter Levels of Order Blocks, Fair Value Gaps, Inversion Fair Value Gaps and Wicks before the trading day begins.
⚙️ Key Features
✅ Manual Level Entry — Input your analyzed price levels (OB, FVG, WICK,etc) directly into the indicator settings.
✅ Preserved Levels — Once entered, your lines stay visible and consistent — even after switching symbols, timeframes, or reloading the chart.
✅ Supports All Level Types — Store any kind of manually defined level: OB highs/lows, FVG boundaries, Wicks, Mean Thresholds, Quarter levels, or custom reference prices.
✅ Clean Visualization — Customize line color, style, and labels for easy visual organization.
✅ Session-Ready Workflow — Built for pre-market preparation — enter your HTF levels once, and trade around them all day.
✅ No Auto Calculations — 100% manual by design — ensuring only your analyzed levels are shown, exactly as you defined them.
💡 How to Use
Open the indicator’s settings and manually enter those price values.
The indicator will plot and preserve those exact levels on your chart.
Switch to your lower timeframe and observe how price reacts around them — without ever needing to redraw.
🎯 Why It’s Useful
Keeps your HTF levels organized and persistent across sessions.
Saves time by avoiding redrawing.
Fits perfectly into ICT / Smart Money trading workflows.
Ensures full manual control and precision over what’s displayed on your chart.
🧩 Ideal For
ICT and Smart Money traders
Institutional-style manual analysts
Traders marking Mean Thresholds, or Quarter Levels of OBs, FVGs, Wicks etc
Anyone who wants a clean, reliable way to preserve their manual analysis
Lord Mathew ATSThe Smart Money Structure & Pattern Analyzer is a complete, all-in-one visual trading system that brings together every essential element of Smart Money Concepts (SMC), ICT methodology, and candlestick psychology into one powerful indicator.
It is designed to help traders instantly understand the market’s structure, liquidity flow, and potential turning points without switching tools or manually marking charts. Whether you trade forex, indices, crypto, or commodities, this indicator automatically identifies where institutional activity, imbalances, and price inefficiencies occur in real time.
With its advanced algorithm, it plots market structure shifts, equal highs and lows, liquidity zones, order blocks, fair value gaps (FVGs), and previous week and day levels (PWO, PWH, PWL, PWC, PDO, PDH, PDL, PDO). It also integrates a deep candlestick recognition engine that detects over ten classic and advanced candle formations including engulfing patterns, dojis, hammers, shooting stars, morning/evening stars, and spinning tops to provide precise confirmation at critical points of interest.
This indicator isn’t just a tool it’s a complete market map that helps traders visualize how institutional order flow and candlestick sentiment interact.
Core Features
📊 Market Structure Detection:
Automatically marks swing highs/lows, Break of Structure (BOS), and Change of Character (CHOCH) in real time.
💧 Liquidity Mapping:
Highlights equal highs/lows and liquidity grabs, showing where price is likely to target before a reversal or continuation.
🧱 Order Block Visualization:
Displays the last bullish or bearish candle before an impulsive displacement, acting as a potential institutional entry zone.
⚡ Fair Value Gap (FVG) Scanner:
Detects and highlights imbalances where price moved too fast, helping you identify high-probability retracement areas.
🕯️ Candlestick Pattern Recognition:
Recognizes key reversal and continuation patterns (engulfing, hammer, shooting star, doji, morning/evening star, etc.) in real time.
📅 Institutional Reference Points:
Plots previous week & day open (PWO, PDO), previous week & day high (PWH, PWH), previous week & day low (PWL, PDL), previous week & day close (PWC, PDC) and optionally previous day levels to help frame bias.
🎨 Customizable Design:
Toggle any feature, change colors, and set alerts when multiple Smart Money signals align for cleaner, faster decision-making.
How It Works
Add the indicator to your chart on any timeframe or market.
The algorithm automatically detects structure, liquidity, and imbalance zones.
Candlestick patterns are highlighted when they form near high-probability areas (like OBs or FVGs).
When confluence occurs such as a liquidity grab, FVG fill, and bullish engulfing candle—the indicator provides a visual signal zone for your confirmation-based entries.
You can refine your trades using higher-timeframe bias (HTF order flow) and lower-timeframe execution (LTF confirmation).
Best For
Traders using ICT, Smart Money Concepts, or price-action systems.
Intraday and swing traders looking for clear, data-driven chart structure.
Traders who want to simplify confluence analysis and focus on precision execution.
Why It Stands Out
Unlike standard candlestick or pattern scanners, this indicator merges institutional market logic with technical candle behavior, allowing traders to see where smart money might be entering or exiting positions.
It’s not about random signals it’s about context, structure, and confirmation.
Every feature in this indicator is built around the principle of liquidity engineering:
price creates liquidity, grabs it, and moves toward imbalance or order flow efficiency.
By merging that institutional logic with candlestick patterns, this tool gives traders an edge in recognizing not only where to trade but why price is reacting in that exact area.
Disclaimer
This indicator is intended for educational and analytical use. It does not provide financial advice or guaranteed trading results. Always backtest and manage your risk responsibly.
SMC INDICATORMoney Concepts (SMC) toolkit and issues buy / sell signals. It includes:
Structure (market structure shifts via pivots)
Order Blocks (last bearish/bullish candle before a structure shift)
Fair Value Gaps (3-bar gap detection)
Simple liquidity sweep detection
Buy / Sell signal generation & alert conditions
Rectangle drawings and on-chart arrows
This is a practical, best-effort SMC indicator suitable for 15m/30m/1H/etc. — feel free to tweak lookbacks and filters in inputs.
Premium/Discount Zones with Confirmation Signals📌 Indicator Description: Premium/Discount Zones with Confirmed Signals
This indicator identifies dynamic Premium, Discount, and Equilibrium zones based on recent swing highs and lows, helping traders visualize where price is considered expensive, cheap, or fair value. It’s designed for Smart Money Concepts (SMC), ICT-style trading, and anyone who values precision in zone-based analysis.
🔍 Key Features
Swing-Based Zones: Automatically detects swing highs/lows over a customizable lookback period (default: 48 bars — equivalent to 2 days on a 1-hour chart).
Premium & Discount Levels: Define overbought and oversold zones using percentage inputs (default: 25%).
Equilibrium Band (middle): Highlights the no-trade value zone with adjustable width (default: 5%).
Signal Engine: Generates trade signals based on two styles:
Bounce: Reversal signals when price reacts to a zone and confirms direction.
Breakout: Continuation signals when price breaks through a zone with momentum.
Trade Type Selector: Choose between Bounce, Breakout, or Both from the input menu.
Signal Filtering: Limits signals to one per direction at a time to reduce noise.
Visual Styling: Toggle between colored or monochrome themes for clean charting.
🧠 How It Works
Buy signals appear when price confirms strength from the discount zone or breaks above the premium zone.
Sell signals appear when price confirms weakness from the premium zone or breaks below the discount zone.
All signals include a built-in 3-bar confirmation delay to reduce false triggers.
🎯 Ideal For
Traders using SMC, ICT, or price action strategies
Zone-based scalping, swing trading, or intraday setups
Visualizing market structure and value areas with clarity
I hope you find this useful — and wish you Happy Trades!
Multi-Timeframe Fibonacci + Open Levels🟣 Multi-Timeframe Fibonacci Levels + Open Levels | Trade Symmetry
This indicator automatically plots Fibonacci levels derived from higher timeframe candle ranges — all at once, directly on your current chart.
It helps you quickly visualize confluence zones and reaction levels where institutional traders are likely to participate.
⚙️ Features
✅ Multi-timeframe Fibonacci Levels — Daily, Weekly, Monthly, Quarterly & Yearly
✅ Automatic Bullish/Bearish detection based on previous candle
✅ Dynamic overlap detection (combines overlapping Fib levels into a single clean label)
✅ Configurable Fibonacci levels, colors, and styles
✅ Optional Open-Price Levels (Daily, Weekly, Monthly)
✅ Clean memory management to keep your chart lightweight
🧠 How to Use
• Add it to any timeframe — it will automatically overlay higher timeframe Fibs.
• Use overlapping or aligned Fib zones as confluence areas.
• Combine with structure or liquidity indicators for high-probability setups.
💡 Inspired by
The concept of higher-timeframe Fibonacci confluences used in Smart Money Concepts (SMC) and ICT-style analysis.
Brahmastra with SMC by PoojaSummary
This indicator provides a structured trend-and-momentum workflow that issues Partial and Confirmed trade signals using a combination of trend filters, momentum confirmation, and structure breaks.
It helps traders identify higher-probability trade locations through multi-timeframe confirmation and automatic alert payloads — while keeping the underlying signal logic private (invite-only).
Core Components (high level overview — no source code revealed)
• Trend Filters: EMA (configurable length), VWAP, and Supertrend are used to define overall trend direction and to gate signals.
• Momentum: RSI (configurable length and upper/lower thresholds) helps confirm momentum and optional divergence blocking.
• Market Structure: BOS / CHoCH (Break of Structure / Change of Character) logic with MTF pivots to detect structure-based opportunities.
• Signal Types: Partial signals appear early as potential setups; Confirmed signals meet stricter multi-factor conditions (EMA/VWAP/Supertrend + RSI + optional MTF).
• Repaint Safety: Non-repaint mode available (triggers only after candle close).
• Alerts: Built-in alert messages with optional JSON webhook format.
• Customization: Flexible inputs for sessions, pivots, labels, colors, lookbacks, and MTF parameters to adapt across multiple timeframes.
How to Interpret Signals
• Treat Partial signals as setups to monitor — not instant entries. Wait for confirmation or confluence from price behavior.
• Treat Confirmed signals as higher-probability opportunities that satisfy trend and momentum alignment.
• Enable MTF confirmation selectively on smaller timeframes (e.g., 5m using 15m/1H confirmation).
• Use Non-repaint mode (trigger only after candle close) for safe alert generation.
Limitations & Risk Notice
This indicator does not guarantee profits or accuracy. It is a technical and educational tool meant to assist analysis.
All trading decisions, entries, and exits are the sole responsibility of the user. Always perform backtesting and paper trading before live use.
This is not financial advice.
Version Note & Support
This is a closed invite-only script. The indicator includes configuration options for labels, alerts, and MTF pivots.
For approved users seeking modifications or usage details, please contact the author (see Author’s Instructions section).
AEON | Liquidity HunterA visual tool for identifying high-probability liquidity zones across multiple timeframes and sessions.
Overview
Liquidity Hunter is a multi-timeframe, all market tool designed to help traders visualise areas where price may be drawn in search of resting liquidity. These liquidity zones often align with swing highs and lows, session extremes, or significant higher-time-frame reference points.
Rather than producing entry or exit signals, this indicator aims to support market behaviour analysis and contextual awareness.
Core Functions
The indicator identifies potential liquidity areas using four optional methods:
1. Current Time Frame Analysis – Automatically locates swing highs and lows based on a customisable setting for sensitivity and lookback depth.
2. Higher Time Frame Analysis – Uses the same logic as above, but projects liquidity zones from a selected higher time frame (HTF).
3. Session Highs & Lows – Highlights the Asian, London, New York, or user-defined session extremes where liquidity commonly pools.
4. Time-Based Highs & Lows – Marks the final bar of any higher time frame (for example, the last H4 or D1 candle) to show potential liquidity reference points.
Each method can be enabled or disabled independently and visually customised, allowing traders to tailor the display to their preferred style and time frame.
How to Use
When applied, the indicator plots horizontal levels representing potential liquidity pools. These levels persist until price engages with or mitigates them, at which point users can opt to modify their visual style or delete them as preferred.
Adjusting the sensitivity of the current and higher time frame levels may reflect the market's likelihood of treating them as targets or reversal points.
Many traders combine these levels with concepts such as market structure shifts, displacement, or fair-value gaps to build a narrative around price behaviour.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a trade signal. Past performance or visual confluence does not guarantee future results.
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About the Author
Created by a passionate developer focused on algorithmic and quantitative concepts.
Supply and Demand Scanner Toolkit [TradingFinder]🔵 Introduction
The analytical system presented here is built upon a deep quantitative foundation designed to capture the dynamic behavior of supply and demand in live markets. At its core, it calculates continuously adaptive zones where institutional liquidity, volatility shifts, and momentum transitions converge. These zones are derived from a combination of a regression-based moving average, a long-period ATR, and Fibonacci expansion ratios, all working together to model real-time volatility, price momentum, and the underlying market imbalance.
In practice, this means that at any given moment, five primary bands and seven variable analytical zones are generated around price, representing different market states ranging from extreme overbought to extreme oversold.
Each band reacts dynamically to price volatility, recalibrating with every new candle, which allows the system to mirror the true, constantly changing structure of supply and demand. Every movement between these zones reflects a transition in the strength and dominance of buyers and sellers, a process referred to as volatility-driven price state transitions.
Traditional analytical models often rely on fixed or static indicators that cannot keep up with the rapid microstructural changes in modern markets. This system instead uses regression and smoothing logic to adapt on the fly. By combining a regression moving average with a smoothed moving average, the model calculates real-time trend direction, momentum flow, and trend strength.
When the regression average rises above the smoothed one, the system classifies the trend as bullish; when it falls below, bearish. This dual-layer structure not only helps confirm direction but also enables the automatic detection of critical structural shifts such as Break of Structure (BoS), Change of Character (CHoCH), and directional reversals.
Both the current trend (Live Trend) and projected future trend (Vision Trend) are calculated simultaneously across all available timeframes. This dual analysis allows traders to identify structural changes earlier and to recognize whether a trend is gaining or losing momentum.
In most conventional moving-average-based frameworks, trading signals are delayed because these models react to price rather than anticipate it. As a result, many buy or sell signals appear after the real move has already begun, leading to entries that contradict the current trend. This system eliminates that lag by employing a mean reversion trading model. Instead of waiting for crossovers, it observes how far price deviates from its statistical mean and reacts when that deviation begins to shrink, the moment when equilibrium forces reemerge.
This approach produces non-lagging, data-driven signals that appear at the exact moment price begins to revert toward balance. At the same time, traders can visually assess the market’s condition by observing the spacing, compression, or expansion of the dynamic bands, which represent volatility shifts and trend energy. Through this interaction, the trader can quickly gauge whether a trend is strengthening, losing power, or preparing for a reversal. In other words, the model provides both quantitative precision and intuitive visualization.
A unique visual element in this system is how candles are displayed during transitional states. When Live Trend and Vision Trend contradict each other, for instance, when the current trend is bullish but the projected trend turns bearish, candle bodies automatically appear as hollow.
These hollow candles act as visual alerts for zones of uncertainty or equilibrium between buyers and sellers, often preceding trend reversals, liquidity sweeps, or volatility compression phases. Traders quickly learn to interpret hollow candles as signals to pause, observe, or prepare for potential shifts rather than to act impulsively.
Signal generation in this model occurs when price reverts from extreme zones back toward neutrality. When price exits the strong overbought or strong oversold zones and reenters a milder area, the system produces a reversal signal that aligns with real-time market dynamics. To refine accuracy, these signals are confirmed through several filters, including momentum verification, volatility behavior, and smart money validation. This multi-layered signal logic significantly reduces false entries, helping traders avoid overreactions to temporary liquidity spikes and enhancing performance in volatility-driven markets.
On a broader level, the model supports full multi-timeframe analysis. It can analyze up to twenty symbols simultaneously, across multiple timeframes, to detect directional bias, correlation, and confluence. The result is a holistic map of market structure in real time, showing how each asset aligns or diverges from others and how lower timeframes fit into the macro trend. Variables such as Live Trend, Vision Trend, Directional Strength, and Zone Positioning combine to give a complete structural snapshot at any given moment.
Risk management is handled by an adaptive Trailing Stop Engine that continuously aligns with current volatility and price flow. It integrates pivot mapping with ATR-based calculations to dynamically adjust stop-loss levels as price evolves. The engine offers four adaptive modes, Grip, Flow, Drift, and Glide, each tailored to different levels of market volatility and trader risk tolerance. In visualization, the profit area between entry and stop-loss is shaded light green for long positions and light red for short positions. This design allows immediate recognition of active risk exposure and profit lock-in zones, all in real time.
Altogether, the combination of ATR Volatility Mapping, Fibonacci Band Calibration, Regression-Based Trend Engine, Dynamic Supply and Demand Equilibrium, Conflict Detection through Hollow Candles, Mean Reversion Signal Model, and Adaptive Trailing Stop forms a unified analytical system. It maps the market’s structure, identifies current and future trends, measures the real-time balance of buyers and sellers, and highlights optimal entry and exit points. The final result is higher analytical precision, improved risk control, and a clearer view of the true, data-defined market structure.
🔵 How to Use
Analyzing supply and demand in live financial markets is one of the most complex challenges traders face. Price rarely moves in a straight line; instead, it evolves through phases of expansion, compression, and redistribution. Many traders misinterpret these movements because the zones that appear strong or reactive at first glance often represent nothing more than temporary liquidity redistributions.
These areas, while visually convincing, may lose relevance quickly when volatility increases or when viewed from another timeframe. In high-volatility environments, traditional zone analysis becomes even more unreliable. Price may seem to respect a support or resistance level only to break through it a few candles later. This behavior creates false zones and misleading reversal points.
The key to filtering such movements lies in understanding the context, how volatility, momentum, and structural flow interact across different timeframes. A single timeframe can only tell part of the story. The market’s true structure emerges only when data is synchronized from macro to micro levels.
This is where multi-timeframe correlation becomes essential. Every timeframe offers a different lens through which supply and demand balance can be observed. For example, a trader might see a bullish setup on a 15-minute chart while the 4-hour chart is still showing a strong distribution phase. Without alignment between these layers, trades are easily positioned against the dominant liquidity flow. The model presented here solves this by processing all relevant timeframes simultaneously, allowing traders to see how short-term movements fit within higher-level structures.
Each market phase, whether accumulation, expansion, or reversion, carries a unique volatility fingerprint. The system tracks transitions in volatility regimes, momentum divergence, and structural breakouts to anticipate when a phase change is approaching. For instance, when volatility compresses and ATR readings narrow, it often signals an upcoming breakout or reversal. By monitoring these shifts in real time, the model helps the trader differentiate between liquidity grabs (temporary volatility spikes) and genuine structural changes.
Every supply-demand interaction within this system is adaptive rather than static. The zones continuously recalibrate based on live parameters such as price velocity, momentum distribution, and liquidity displacement. This adaptive structure ensures that the balance between buyers and sellers is represented accurately as market conditions evolve.
In practice, this allows the user to identify early signs of trend exhaustion, potential reversals, and continuation patterns long before traditional indicators would react.
In essence, successful supply and demand analysis requires moving beyond subjective interpretation toward data-driven decision-making.
Manual drawing of zones or relying solely on visual intuition can lead to inconsistent results, especially in fast-changing markets. By combining ATR-driven volatility mapping, mean reversion dynamics, and multi-timeframe alignment, this framework offers a clear, objective, and responsive model of how market forces actually operate. Each decision becomes grounded in measurable context, not assumptions.
The analytical interface is divided into two main sections : the visual chart framework and the scanner data table.
On the chart, five dynamic bands and seven analytical zones appear around price. These are calculated from ATR, regression moving average, and Fibonacci expansion ratios to define whether the market is overbought, oversold, or neutral. Each zone has distinct color coding, allowing traders to recognize the market state instantly without switching tools or indicators.
Price movement within these bands reveals more than just direction, it tells a story of volatility, liquidity flow, and market equilibrium. The upper zones typically indicate exhaustion of buying pressure, while lower zones highlight areas of overselling or potential recovery. The way price reacts near these boundaries can help determine whether a continuation or reversal is likely.
At the heart of the visualization are two layered trend components : Live Trend and Vision Trend.
The Live Trend shows the present market direction based on regression and smoothing logic, while the Vision Trend projects the probable future trajectory by analyzing slope deviation and momentum displacement. When these two align, the trader sees confirmation of market strength. When they diverge, candle bodies turn hollow, a simple yet powerful visual alert signaling hesitation, consolidation, or a possible turning point.
At the bottom of the interface, the Scanner Table organizes all analytical data into a structured display. Each row corresponds to a symbol and timeframe, showing the current Live Trend, Vision Trend, Directional Strength, Zone Position, and Signal Age. This table provides a real-time overview of all assets being tracked, showing which ones are trending, which are in reversal, and which are entering transition zones. By analyzing this table, traders can instantly identify correlation clusters, where multiple assets share the same trend direction, often a sign of broader market sentiment shifts.
The Scanner can simultaneously process multiple timeframes and up to twenty different assets, producing a panoramic market overview. This makes it easy to apply a top-down analytical workflow, starting with higher timeframe alignment, then drilling down into lower levels for execution. Instead of reacting to isolated signals, traders can see where confluence exists across structures and focus only on setups that align with overall market context.
The bands and their color coding make interpretation intuitive even for less experienced users. Darker shades correspond to extreme zones, typically where institutional orders are being absorbed or distributed, while lighter zones mark mild overbought or oversold conditions. When price transitions from an outer extreme zone into a milder region, a signal condition becomes active. At this point, traders can cross-check the event using momentum and volatility filters before acting.
The trailing stop section of the display adds another critical dimension to decision-making. It visualizes stop levels as continuously updating colored lines that follow price movement. These levels are calculated dynamically through pivot mapping and ATR-based sensitivity. The shaded area between the entry point and active stop loss (light green for buys, light red for sells) gives traders immediate insight into how much of the move is currently secured as profit and how much remains exposed. This simple visual cue transforms risk management from a static calculation into a living, responsive process.
All components of this analytical system are fully customizable. Users can adjust signal type, calculation periods, smoothing intensity, and band sensitivity to match their trading style. For example, a scalper might shorten ATR and MA periods to capture rapid fluctuations, while a swing trader might increase them for smoother and more stable readings. Because every element responds to live data, even small adjustments lead to meaningful changes in how the system behaves.
When combined with the scanner’s data table, these features enable a top-down analytical workflow, one where decisions are not made from isolated indicators but from a complete, multi-dimensional understanding of market structure. The result is a system that supports both reactive precision and proactive market awareness.
🟣 Long Signal
A long signal is generated when price begins to rebound from deeply oversold conditions. More precisely, when price enters the strong or extreme oversold zones and then returns into the mild oversold region, the system identifies the start of a mean reversion phase. This transition is not based on subjective interpretation but on mathematical deviation from equilibrium, meaning that selling pressure has been exhausted and liquidity begins to shift toward buyers.
Unlike delayed signals that depend on moving average crossovers or oscillators, this signal appears the moment price starts moving back toward balance. The model’s mean reversion logic detects when volatility contraction and momentum realignment coincide, producing a non-lagging entry condition.
In this situation, traders can visually confirm the setup by observing the spacing and curvature of the lower bands. When the lower volatility bands begin to flatten or curve upward while ATR readings stabilize, it indicates that the market is transitioning from distribution to accumulation.
The strength and quality of each long signal depend on the configuration of trend variables. When both Live Trend and Vision Trend are bullish, the probability of continuation is significantly higher. This alignment suggests that the market’s short-term momentum is supported by long-term structure. On the other hand, when the two trends contradict each other, which the chart highlights with hollow candles, it represents a temporary phase of indecision or conflicting forces.
In these moments, traders are encouraged to monitor volatility compression and observe whether the next few candles confirm a real breakout or revert back to range conditions.
Additional confirmation can be derived from observing the slope of the regression moving average and the magnitude of ATR fluctuations. A steeper upward slope combined with decreasing volatility indicates stronger bullish intent. In contrast, if ATR expands while price remains flat, it signals potential traps or fakeouts driven by short-term liquidity grabs.
Valid long signals often emerge near the end of volatility compression periods or immediately after liquidity sweeps around major lows. These are points where large players typically absorb remaining sell orders before initiating upward movement. Once the long condition triggers, the system automatically calculates the initial stop loss using a combination of recent pivots and ATR range. From that point, the Trailing Stop Engine dynamically adjusts as price rises, maintaining optimal distance from the entry point and locking in profits without restricting trade potential.
For educational context, consider a situation where the market has been trending downward for several sessions, and the ATR value begins to decline, showing that volatility is compressing. As price touches the lower extreme zone and reverses into the mild oversold region while Live Trend starts turning positive, this creates an ideal long condition. A new cycle of expansion often begins right after such compression, and the system captures that early shift automatically.
🟣 Short Signal
A short signal represents the opposite scenario, a point where buying momentum weakens after a strong rally, and price begins to revert downward toward equilibrium. When price exits the strong or extreme overbought zones and moves into the mild overbought region, the model detects the start of a bearish mean reversion phase.
Here too, the signal appears without delay, as it is based on the real-time relationship between price and its volatility boundaries rather than on indicator crossovers.
The system identifies these short conditions when upward momentum shows visible fatigue in the volatility bands. The upper bands start to flatten or turn downward while the regression slope begins to lose angle. This is often accompanied by rising ATR readings, showing an expansion in volatility that reflects distribution rather than continuation.
The quality of the short signal is strongly influenced by the interaction between the two trend layers. When both Live Trend and Vision Trend point downward, the likelihood of sustained bearish continuation increases dramatically. However, if they diverge, candle bodies turn hollow, clearly marking zones of conflict or hesitation. These phases often coincide with the end of a bullish impulse wave and the start of an early correction.
A practical example can illustrate this clearly. Imagine a market that has been trending upward for several days with expanding volatility. When price pushes into the extreme overbought zone and starts pulling back into the mild region, the system interprets it as the first sign of distribution. If at the same time the regression moving average flattens and ATR begins to rise, it strongly suggests that institutional participants are taking profit. The generated short signal allows the trader to position early in anticipation of the downward reversion that follows.
The initial stop loss for short trades is calculated above the most recent pivot high, ensuring logical protection based on the structural context. From there, the Trailing Stop Engine automatically tracks the price movement downward, tightening stops as volatility decreases or expanding them during sharp swings to avoid premature exits.
The engine’s dynamic nature makes it suitable for both aggressive scalpers and patient swing traders. Scalpers can set the trailing sensitivity to “Grip” mode for tighter control, while swing traders can use “Glide” mode to capture larger portions of the trend.
Most short signals form right after volatility expansion or liquidity grabs around major highs, classic exhaustion areas where momentum divergence becomes evident. The combination of visual cues (upper band curvature, hollow candles, ATR spikes) provides traders with multiple layers of confirmation before taking action.
In both long and short scenarios, this analytical system replaces emotional decision-making with structured interpretation. By translating volatility, momentum, and price positioning into clear contextual patterns, it empowers the trader to see where reversals are forming in real time rather than guessing after the move has started.
🔵 Setting
🟣 Logical Setting
Channel Period : The main channel period that defines the base moving average used to calculate the central line of the bands. Higher values create a smoother and longer-term structure, while lower values increase short-term sensitivity and faster reactions.
Channel Coefficient Period : The ATR period used to measure volatility for determining the channel width. Higher values provide greater channel stability and reduce reactions to short-term market noise.
Channel Coefficient : The ATR sensitivity factor that defines the distance of the bands from the central average. A higher coefficient widens the bands and increases the probability of detecting overbought or oversold conditions earlier.
Band Smooth Period : The smoothing period applied to the bands to filter minor price noise. Lower values produce quicker reactions to price changes, while higher values create smoother and more stable lines.
Trend Period : The period used in the regression moving average calculation to identify overall trend direction. Shorter values highlight faster trend shifts, while longer values emphasize broader market trends.
Trend Smooth Period : The smoothing period for the regression trend to reduce volatility and confirm the dominant market direction. This setting helps to better distinguish between corrective and continuation phases.
Signals Gap : The time interval between generated signals to prevent consecutive signal clustering. A higher value strengthens the temporal filter and produces more selective and refined signals.
Bars to Calculate : Defines the number of historical candles used in calculations. Limiting this value optimizes script performance and reduces processing load, especially when multiple symbols or timeframes are analyzed simultaneously. Higher values increase analytical depth by including more historical data, while lower values improve responsiveness and reduce potential lag during live chart updates.
Trailing Stop : Enables or disables the dynamic trailing stop engine. When active, the system automatically adjusts stop loss levels based on live volatility and price structure, maintaining alignment with market flow and trend direction.
Trailing Stop Level : Defines the operational mode of the trailing stop engine with four adaptive styles: Grip, Flow, Drift, and Glide. Grip offers tight stop management for scalping and high precision setups, while Glide allows wider flexibility for swing or long-term trades.
Trailing Stop Noise Filter : Applies an additional filtering layer that smooths minor fluctuations and prevents unnecessary stop adjustments caused by short-term market noise or micro volatility.
🟣 Display Settings
Show Trend on Candles : Displays the current trend direction directly on price candles by applying dynamic color coding. When Live Trend and Vision Trend align bullish, candles appear in green tones, while bearish alignment displays in red. If the two trends conflict, candle bodies turn hollow, marking a Trend Conflict Zone that signals potential indecision or upcoming reversal. This feature provides instant visual confirmation of market direction without the need for external indicators
Table on Chart : Allows users to choose whether the analytical table appears directly over the chart or positioned below it. This gives full control over screen layout based on personal workspace preference and chart design.
Number of Symbols : Controls how many symbols are displayed in the screener table, adjustable from 10 up to 20 in steps of 2. This flexibility helps balance between detailed screening and visual clarity on different screen sizes.
Table Mode : Defines how the screener table is visually arranged.
Basic Mode : Displays all symbols in a single column for vertical readability.
Extended Mode : Arranges symbols side by side in pairs to create a more compact and space-efficient layout.
Table Size : Adjusts the visual scaling of the table. Available options include auto, tiny, small, normal, large, and huge, allowing traders to optimize table visibility based on their screen resolution and preferred chart density.
Table Position : Determines the exact placement of the screener table within the chart interface. Users can select from nine available alignments combining top, middle, and bottom vertically with left, center, and right horizontally.
🟣 Symbol Settings
Each of the 10 available symbol slots includes a full range of adjustable parameters for personalized analysis.
Symbol : Defines or selects the asset to be tracked in the screener, such as XAUUSD, BTCUSD, or EURUSD. This enables multi-asset scanning across different markets including forex, commodities, indices, and crypto.
Timeframe : Sets the specific timeframe for analysis for each selected symbol. Examples include 15 minutes, 1 hour (60), 4 hours (240), or 1 day (1D). This flexibility ensures precise control over how each asset is monitored within the multi-timeframe structure.
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
Understanding financial markets requires more than indicators, it demands a framework that captures the interaction of price, volatility, and structure in real time. This analytical system achieves that by combining mean reversion logic, volatility mapping, and dynamic supply and demand modeling into an adaptive, data-driven environment. Its computational bands and trend layers visualize market intent, showing when momentum is strengthening, fading, or preparing to shift.
Each signal, derived from statistical equilibrium rather than delayed indicators, reflects the exact moment when the balance between buyers and sellers changes. Variables like Live Trend, Vision Trend, Directional Strength, and ATR-based Volatility Context help traders assess signal quality and alignment across multiple timeframes. The system blends automation with human interpretation, preserving macro-to-micro consistency and enabling confident entries, exits, and stop management through its adaptive Trailing Stop Engine.
Every component, from color-coded zones to hollow candles, forms part of a broader narrative that teaches traders to read the market’s language instead of reacting to it. Built on self-correcting analysis, the framework continuously recalibrates with live data. By transforming volatility, liquidity, and price behavior into structured insight, it empowers traders to move from reaction to prediction, a living ecosystem that evolves with both the market and the trader.
Paid script
Previous Period High/Low LevelsThis indicator plots the previous day, week, and month high and low levels to highlight key liquidity levels.
Perfect for traders using market structure, liquidity, or SMC concepts.
Features:
Auto-plots PDH/PDL, PWH/PWL, and PMH/PML
Adjustable line styles, widths, and label sizes
Toggle price display on or off
Accurate UTC offset handling
IPDA Ranges – ProIPDA Ranges – Pro
This indicator plots Institutional Price Delivery Algorithm (IPDA) ranges based on lookback periods of 20, 40, and 60 days, as taught by ICT (Inner Circle Trader). It visualizes premium and discount zones, equilibrium levels, quadrants, and sub-quadrants to help traders identify key price areas and potential market biases.
Key Features:
- Displays IPDA ranges as boxes or lines, with customizable colors for discount, equilibrium, and premium zones.
- Optionally shades the 25%-75% mid-zone for each range.
- Supports quadrants (25% steps) and sub-quadrants with lines and labels for detailed price segmentation.
- Includes a table displaying either discount/premium status or percentage from equilibrium for each range.
- Configurable alerts for entry/exit into the mid-zone.
- Visual options include line styles, label sizes, price display on labels, and buffers for zone extension.
Settings Overview:
- IPDA Intervals: Enable/disable IPDA20, IPDA40, IPDA60; toggle quadrants, sub-quadrants, mid-zone shading, and drawing with lines vs. boxes.
- Colors and Styles: Customize colors for zones, lines, labels; select solid/dotted/dashed styles for borders and lines.
- Appearance: Adjust label and table sizes, table position, and background opacity.
- Labels: Show/hide per-range labels and include prices.
- Alerts: Enable mid-zone entry/exit alerts.
Usage:
Add the indicator to your chart and select the desired IPDA intervals. The ranges update dynamically based on daily highs and lows. Use the table for quick reference to current positioning (discount/premium or percentage). The mid-zone shading helps identify consolidation areas, while quadrants and sub-quadrants assist in pinpointing potential support/resistance levels.
© MadMonkTrading
Smart Volume Imbalance (SVI) — Lower Panel (MNQ tuned)How to use & interpret (quick guide — tuned for MNQ)
What SVI shows
SVI > 0 — price move is directionally efficient with supportive volume (bullish smart flow).
SVI < 0 — price move is directionally efficient with selling pressure (bearish smart flow).
Large |SVI| (default threshold ±1.5) indicates institutional-strength moves worth respecting.
Absorption (orange/yellow marker): high volume but small candle body → potential smart accumulation/distribution (often precedes directional moves).
Primary signals
Entry (momentum): SVI crosses above +svThresh on pullbacks aligned with trend (use price structure to confirm).
Fade / Short: SVI falls below -svThresh at or near resistance, especially with bearish divergence.
Divergence: Price makes higher high but SVI makes lower high → likely smart-money sell; be cautious.
Default parameter reasoning for MNQ
volLen = 20, spreadLen = 20 — balances responsiveness and noise for a fast future.
normLen = 50, smoothLen = 8 — reduces tick noise but still responsive to MNQ spikes.
absorbVolMul = 1.8 — flags volume ~80% above average as significant; tweak if your data source reports higher/lower baseline.
Tuning tips
If you see too many false signals, increase normLen or smoothLen (more smoothing).
If you want earlier signals (more noise), lower smoothLen and normLen.
For lower-timeframes (1s/1m) you may need shorter SMAs; for higher-timeframes (5m+) defaults often work well.
Practical workflow
Use SVI in a separate lower panel while trading MNQ on your preferred timeframe (1m–5m are common).
Combine SVI with structure: only take bullish SVI signals above a prior structure support / after CHoCH, etc.
Watch absorption zones near highs/lows — they often signal where smart money is stepping in/out.
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by
Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows, key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones.
Perfect for traders using ICT / SMC concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance.
Features:
Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL
Custom line styles, colors, and label sizes
Option to stop line on wick (liquidity sweep)
Smart timeframe visibility (hides same-TF levels)
Accurate UTC offset handling
Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity.
Built for precision, clarity, and confluence.
SMC FVG/IFVG (Multi-TF x 4) [ZAUTEC]SMC FVG/IFVG (Multi-TF x 4): Multi-Timeframe Fair Value Gap with Inversed FVG Detection
This powerful Pine Script indicator is designed to help traders identify, track, and manage Fair Value Gaps (FVGs) and their respective Inversed Fair Value Gaps (IFVGs) across up to four different timeframes simultaneously.
Key Features
Multi-Timeframe Analysis (4x): Analyze and display FVGs from four distinct timeframes alongside your current chart, offering a comprehensive view of market imbalances across various scales.
Fair Value Gap (FVG) Detection: Automatically identifies classic three-candle FVGs (market inefficiencies).
Customizable FVG Length: Set how many bars the FVG boxes should initially extend for.
Minimum Gap Size: Filter out minor, insignificant gaps using a tick-based minimum size threshold.
Optional Box Extension: Dynamically extend FVG boxes to the current bar index or use a fixed extension for a cleaner chart.
Inversed FVG (IFVG) Logic: Detects a high-probability reversal pattern where a previously filled FVG zone is immediately followed by the formation of a new, opposite FVG within or adjacent to the same area. This confirms the old FVG has "flipped roles" (e.g., from support to resistance).
Lookback Period: Defines how long the indicator searches for a corresponding FVG breach to confirm the IFVG.
IFVG Minimum Size: Customizable minimum size threshold for the IFVG.
Dynamic Box Management:
Automatic Fill Deletion: FVGs are automatically removed from the chart when price action fully trades through the gap, signifying the imbalance has been "filled."
IFVG Tracking: IFVGs are tracked and removed from the chart after the configurable lookback period.
Full Customization: Control the visibility, colors, border styles (solid, dashed, dotted), and width for FVG, Bearish FVG, Bullish FVG, and IFVG boxes independently for each of the four timeframes.
How to Use
Select Timeframes: Choose up to four desired timeframes in the settings (e.g., "15" for 15-minute, "4H" for 4-hour, "D" for Daily). Leave the field empty to use the chart's current timeframe.
Toggle Visibility: Use the Show FVG and Show IFVG toggles to focus on the imbalances you wish to see.
Adjust Extension: Set Extend Boxes to bar index to true to keep all open FVG boxes drawn all the way to the current live price bar.
Interpret the Gaps:
FVG (Bullish/Bearish): Potential areas for price to return to and find support/resistance.
IFVG (Inverse FVG): Stronger signals that a previous zone of imbalance has been violated and is likely to act as a significant flip zone for future price movements.
This indicator is an essential tool for traders utilizing concepts like ICT (Inner Circle Trader) and SMC (Smart Money Concepts), providing a clear visual representation of market structure and liquidity voids.
Smart Money Concepts Pro – OB, FVG, Liquidity + Trade SetupsThis script is a complete Smart Money Concepts (SMC) toolkit designed for traders who want clean and actionable charts without clutter.
It combines the most important institutional concepts into one indicator:
Order Blocks (OB): auto-detection of bullish and bearish order blocks with mitigation tracking, merging and TTL (time-to-live).
Fair Value Gaps (FVG): automatic gap recognition with size filters, mitigation tracking and lifetime control.
Liquidity Pools (EQH/EQL): equal highs and equal lows marked with tolerance (ATR-based or fixed).
Break of Structure (BOS): up/down structure shifts plotted directly on the chart.
Multi-Timeframe (HTF): option to use higher timeframe data (e.g. H4, Daily) for stronger zones.
Trend Filter: show zones only in the direction of market structure.
Trade Setups: automatic signals for OB Retest + Trend setups, with entry, stop-loss and take-profit levels (custom R-R).
Flexible Zone Extension: choose between extending zones to the live bar or fixed box width for a cleaner look when scrolling.
Features
Fully customizable (pivot length, ATR filters, box width, TTL, zone colors)
Separate presets for Scalping, Intraday, Swing trading styles
Visual trade planning with entry/SL/TP lines and optional labels
Works across all markets (crypto, forex, indices, stocks)
How to use
Bias: identify overall direction (BOS + HTF zones).
Wait: for price to return to an unmitigated OB or FVG.
Entry: take the setup signal (OB retest + trend filter).
Risk: stop-loss at opposite OB boundary.
Target: TP based on chosen R-R multiple (default 2R).
⚡ Whether you scalp short-term moves or swing trade HTF zones, this indicator gives you a clear institutional edge in spotting supply/demand imbalances and high-probability setups.
Equinox Wolf - ICT MacrosEquinox Wolf – ICT Macros plots the key ICT session macro windows on your chart so you can focus on how price behaves inside each time range. The script anchors every session to America/New_York time, updates live or in backtesting, and only keeps the current trading day on screen, avoiding clutter from prior sessions. Each window can be toggled individually, the box fill, borders, and high/low/equilibrium levels share global color and style controls, and the levels extend forward until the next macro begins. Use it to highlight the ICT LND, NYAM, lunch, afternoon, and final-hour ranges and monitor how price reacts around their highs, lows, and midpoints.
SMC by ProfesorSMC by Profesor
Discover market structure mastery with SMC by Profesor – your ultimate Smart Money Concepts toolkit for TradingView. Identify bullish/bearish BOS & CHoCH breaks, plot internal/swing order blocks, detect EQH/EQL levels, highlight FVGs, and zone premium/discount areas. Visualize swing points, PDH/PDL lines, and trend-colored candles. Receive instant alerts for breakouts, gaps, and more. Perfect for ICT traders seeking precision in any timeframe. Historical or real-time mode – elevate your edge today!
SMC pro trend
The PSK FX Structure Indicator (also known as SMC pro trend) is a complete Smart Money Concepts (SMC) toolkit designed for professional structure traders.
It detects and visualizes key price structure elements such as BoS (Break of Structure), CHoCH (Change of Character), HH/HL/LH/LL, IDM zones, SCOB, sweeps, inside bars, and EMA confluence — all with precise non-repainting logic.
This indicator helps traders read price action like an institution — identifying liquidity shifts, order flow direction, and possible reversal or continuation zones.
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⚙️ Core Features
🧭 Structure Detection
• Automatic detection of major structure points:
• HH – Higher High
• HL – Higher Low
• LH – Lower High
• LL – Lower Low
• Confirms BoS (Break of Structure) and CHoCH (Change of Character) events in both bullish and bearish markets.
• Marks each structure change with labels and connecting lines for clarity.
🔁 BoS / CHoCH Logic
• Solid line = BoS
• Dashed line = CHoCH
• Colored by direction:
• 🟩 Bullish = Green
• 🟥 Bearish = Red
• Option to show live BoS/CHoCH lines extending forward for real-time updates.
🧱 IDM (Internal Displacement Model) Zones
• Detects previous and live IDM zones (premium/discount zones).
• Highlights IDM candles that cause structural displacement.
• Labels each detected IDM level automatically.
⚡ Sweeps (Liquidity Grab Detection)
• Detects when price sweeps previous highs/lows.
• Marks these zones with dotted lines and optional “X” markers.
🧩 SCOB Pattern (Smart Candle Order Block)
• Detects and colors special SMC candle structures:
• Bullish SCOB → Aqua
• Bearish SCOB → Fuchsia
• Option to color all bars by trend direction or only highlight SCOB bars.
🧭 Internal Structure & Pivots
• Marks minor highs/lows (internal structure) for better IDM leg visualization.
• Helps identify early momentum shifts before major structure breaks.
🎯 1.618 Target Projection
• Projects 1.618 Fibonacci targets dynamically after BoS or CHoCH confirmation.
• Displays target price level with text label:
• Bullish → Green Target Line
• Bearish → Red Target Line
🧱 Inside Bar Zones
• Highlights inside bar formations (compression zones).
• Draws colored boxes between high/low of inside bar clusters.
• Marks the first and consecutive inside bars with custom bar colors.
📊 EMA Filter
• Includes a toggleable Exponential Moving Average (EMA) for confluence with trend direction.
• Customizable EMA length (default: 50).
🎨 Monochrome Mode
• Toggle between normal color mode and a clean monochrome theme for minimalistic charting setups.
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🧠 How to Use
1. Identify Market Context:
Wait for a confirmed CHoCH to spot potential reversals or structure shifts.
2. Follow Order Flow:
Confirm trend direction via BoS lines and IDM zones.
3. Entry Planning:
Combine sweep detection, inside bar zones, and IDM levels for sniper entries.
4. Take Profit Zones:
Use the 1.618 target projection line to set high-probability TP levels.
5. Trend Filtering:
Use EMA direction to confirm whether to follow continuation or counter-trend setups.
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🧩 Inputs & Settings
Category
Key Settings
Structure
Equal H/L toggle, HH/LL labeling, internal structure
BoS/CHoCH
Enable/disable labels, custom label size, bull/bear colors
IDM
Show previous/live IDM, label size, color options
Sweeps
Show sweep lines, X-markers, sweep line color
Bar Coloring / SCOB
Toggle bar coloring and SCOB pattern
Inside Bars
Highlight and box compression zones
1.618 Targets
Enable Fibonacci target projection
EMA
Toggle EMA and adjust length
Monochrome Mode
Apply single-color chart theme
⚠️ Notes
• This indicator is built for non-repainting structure confirmation.
• Use it on higher timeframes for swing structure or lower timeframes for IDM entry precision.
• Works best with clean price action charts (no cluttered oscillators or extra visuals).
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💡 Recommended Use Cases
✅ SMC traders
✅ ICT/Order Block strategy users
✅ Liquidity and market structure traders
✅ Scalpers and swing traders using BoS/CHoCH logic
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✍️ Author
Developed by PURNA SAMPATH KALUARACHCHI (PSK FX)
Smart Money Concepts researcher and price structure developer.
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Engulfing Failure & Overlap Zones [HASIB]🧭 Overview
Engulfing Failure & Overlap Zones is a smart price action–based indicator that detects failed engulfing patterns and overlapping zones where potential liquidity traps or reversal setups often occur.
It’s designed to visually highlight both bullish and bearish failed engulfing areas with clean labels and zone markings, making it ideal for traders who follow Smart Money Concepts (SMC) or price action–driven trading.
⚙️ Core Concept
Engulfing patterns are powerful reversal signals — but not all of them succeed.
This indicator identifies:
When a Buy Engulfing setup fails and overlaps with a Sell Engulfing zone, and
When a Sell Engulfing setup fails and overlaps with a Buy Engulfing zone.
These overlapping areas often represent liquidity grab zones, reversal points, or Smart Money manipulation levels.
🎯 Key Features
✅ Detects both Buy and Sell Engulfing Failures
✅ Highlights Overlapping (OL) zones with colored rectangles
✅ Marks Buy EG OL / Sell EG OL labels automatically
✅ Fully customizable visuals — colors, padding, and zone styles
✅ Optimized for both scalping and swing trading
✅ Works on any timeframe and any instrument
⚡ How It Helps
Identify liquidity traps before reversals happen
Visually see Smart Money overlap zones between opposing engulfing structures
Strengthen your entry timing and confirmation zones
Combine with your own SMC or ICT-based trading setups for higher accuracy
📊 Recommended Use
Use on higher timeframes (e.g., M15, H1, H4) to confirm major liquidity zones.
Use on lower timeframes (e.g., M1–M5) for precision entries inside the detected zones.
Combine with tools like Order Blocks, Break of Structure (BOS), or Fair Value Gaps (FVG).
🧠 Pro Tip
When a failed engulfing overlaps with an opposite engulfing zone, it often signals market maker intent to reverse price direction after liquidity has been taken. Watch these zones closely for strong reaction candles.
Binary Options Fast Scalping [TradingFinder] M1 & M5 Signals🔵 Introduction
In the structure of financial markets, spiky moments and sudden price movements play a key role in Liquidity Grabs and Market Structure Resets. These movements usually occur after the accumulation of orders in Buy Side or Sell Side Liquidity zones and are accompanied by rapid breaks in the form of Break of Structure (BoS) or Change of Character (CHoCH).
At this stage, the market temporarily moves in the direction of liquidity to trigger counter orders and then enters a Retracement or Pullback phase, a point where professional traders using the Smart Money Concept (SMC) look for candle confirmation to enter with precision.
This strategy is built upon the same logic : an initial spiky move as a signal of institutional or liquidity driven algorithms, followed by a controlled pullback toward areas such as the Order Block, Fair Value Gap (FVG), or Imbalance Zone, and finally an entry based on a strong confirmation candle (Engulf, Rejection, Breaker) that defines the true direction of order flow.
This combination of price behavior, especially on lower timeframes such as M1 or M5, provides an ideal setup for fast Scalping, Micro Structure Trading, and even short term directional prediction in Binary Options Trading.
Since the main focus of this method is on identifying liquidity phases, structural confirmations, and momentum confirmation candles, the trader can design entries with high probability and logical stop loss placement using the concepts of Fractal Market Structure and Multi Timeframe Confirmation.
In the scalping version, the main objective is to capture the move toward the next liquidity pool or opposite demand and supply zone, while in the binary version, only the prediction of the next candle’s direction matters. This strategy inherently operates based on Smart Money Behavior, Liquidity Engineering, and Order Flow Dynamics, allowing the extraction of fast and profitable moves from the internal logic of market structure.
🔵 How to Use
The operational logic of this strategy is based on Liquidity Sweep, Pullback, and Confirmation Candle. The trader should first identify the initial Impulse Move, which is often accompanied by liquidity absorption around Buy Side or Sell Side Liquidity areas. After that, the market enters the Retracement phase and returns to structural zones such as the Order Block or the Fair Value Gap (FVG).
At this point, a position is taken only when a confirmation candle (Engulf, Breaker, or Rejection Candle) closes in the direction of continuation and aligns with the new structure (BOS or CHoCH). Applying this model on lower timeframes offers the highest precision for fast Scalping or for predicting the next candle’s direction in Binary Option trading.
🟣 Bullish Setup
In the bullish setup, the market first forms a spiky upward move with a sudden increase in momentum, indicating the activation of liquidity flow in the Buy Side Liquidity zone. This movement is usually accompanied by a Break of Structure (BOS) to the upside and marks the beginning of the Impulse Move phase. After this move, the price enters the Pullback phase and returns to structural areas such as the Bullish Order Block, Fair Value Gap (FVG), or Mitigation zone.
At this stage, the trader waits for a bullish confirmation candle (Bullish Engulf or Breaker Candle) to validate the end of the retracement. Entry is made at the close of the confirmation candle or on a minor pullback, with the stop loss placed below the Swing Low or below the pullback zone. The target is set at the next Buy Side Liquidity or Equal Highs. In the binary version, only the direction of the next candle matters and the entry takes place immediately after the confirmation candle.
🟣 Bearish Setup
In the bearish setup, the market first forms a spiky downward move, signaling increased selling pressure and liquidity absorption at the Sell Side Liquidity zone. This movement is accompanied by a Break of Structure (BOS) to the downside and represents the beginning of a bearish momentum phase. After the spike, the price enters the Retracement phase and returns to the Bearish Order Block or bearish Fair Value Gap zone. Within these areas, the formation of a bearish confirmation candle (Bearish Engulf, Breaker, or Rejection Candle) validates the continuation of the downtrend.
The entry is taken at the close of the confirmation candle, with the stop loss placed above the Swing High or above the pullback zone, and the target set toward the next Sell Side Liquidity or Equal Lows. In binary applications, only the direction of the next candle is considered and the confirmation candle serves as the entry trigger.
🔵 Conclusion
This strategy, by combining the principles of the Smart Money Concept, Liquidity Dynamics, and Candle Confirmation Logic, offers a precise and multi functional approach to market entry. Its core structure, identifying the initial spiky movement, waiting for a structural pullback, and entering based on a confirmation candle allows quick interpretation of institutional liquidity behavior and provides trading opportunities with high accuracy and controlled risk.
On lower timeframes, this logic becomes a powerful tool for Scalping and Micro Structure Trading, while in binary markets it delivers high success rates due to its focus on predicting the next candle’s direction. Built upon the foundations of Order Flow, Market Structure, and Fractal Liquidity Behavior, this strategy demonstrates that even in the fastest and noisiest market conditions, the order of Smart Money remains observable and exploitable.
Khosro XAUUSD Strategy [TradingFinder] Trading Room Hunter Setup🔵 Introduction
The Trading Room Hunter (TRH) strategy is an analytical model based on the Smart Money Concept, developed by Khosro, an Iranian international trader based in Dubai. This approach is built upon a deep understanding of liquidity engineering, market structure shifts, and institutional order flow. Its core objective is to identify the so-called TRH Zone, the area where market liquidity gets trapped and institutional investors begin accumulating positions. Unlike traditional indicator-based methods, the TRH Zone focuses purely on price behavior and supply & demand dynamics to pinpoint the most precise reversal zones in the market.
Within Smart Money logic, every impulsive move in price results from the displacement or absorption of liquidity in a specific range. In the TRH model, the last pivot preceding the impulsive move (Origin Pivot) is defined as the Distal Line, and the Break Candle, which disrupts the market structure, forms the Proximal Line. The area between these two points defines the Trading Room Hunter Zone, a reaction zone where price, after creating a displacement or Break of Structure (BoS), often returns to fill an imbalance and provide a precision entry opportunity.
In essence, the TRH Zone is the region where smart money seeks re-entry after a liquidity sweep and a confirmed CHoCH or BoS. It frequently lies between supply/demand boundaries and fair value gaps (FVGs), forming one of the strongest decision-making frameworks within modern price-action theory. Due to its structural accuracy, the TRH setup can also function as a Set & Forget Setup, where the trader defines the zone, places a limit order, and lets the market naturally react, eliminating emotional decision-making and allowing for automated execution aligned with institutional logic.
🔵 How to Use
In the TRH strategy, entries are taken based on price returning to the area between the last impulsive pivot and the break candle. This range (the TRH Zone) represents the region where liquidity from the previous move remains concentrated. Before continuing its main direction, price often revisits this zone to fill imbalances or mitigate unfilled orders. The logic is simple: every explosive move originates from a point where large orders were executed, and TRH precisely highlights that institutional footprint.
🟣 Bullish Setup
When the market breaks a structural high after a strong bearish leg, liquidity shifts from sellers to buyers. The last bearish candle before the breakout marks the origin of the bullish move, and the zone between that candle and the break candle becomes the smart-money entry area. As price revisits this zone and signs of exhaustion in selling pressure appear, that’s the optimal point for a long position. Stop-loss is placed slightly below the origin pivot, and targets are set at the next supply zone or upper liquidity pool.
🟣 Bearish Setup
Conversely, when the market breaks a structural low after a sharp bullish leg, liquidity transitions from buyers to sellers. The last bullish candle before the drop is identified as the origin pivot, while the bearish break candle defines the lower boundary of the zone. The range between these two points forms the TRH Supply Zone, where late buyers are trapped and fresh institutional selling begins. As price retraces into this zone, short entries can be placed near the upper boundary, with stops above the pivot and targets toward the next liquidity pool below.
Because of its structural precision and clearly defined reaction behavior, TRH is one of the most effective Set & Forget setups in Smart Money trading. Simply mark the zone, place your order, and let the market do the rest.
🔵Setting
🟣 Spike Filter | Movement
Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike.
Movement Power : Enables or disables the momentum-based spike filter.
Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes.
Pivot Period : Defines the lookback range used to detect swing highs and swing lows in market structure. A higher value smooths out smaller fluctuations and focuses on major pivots, while a lower value increases sensitivity and identifies minor turning points more frequently.
🟣 Position Management
Stop-Loss Threshold : Enables or disables the stop-loss threshold feature.
Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management.
Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2).
Wide Zone Filter : Filters out zones that exceed a defined width threshold, preventing detection of overly broad TRH areas.
🟣 Display Settings
Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals).
Show Entry Levels : Displays entry levels on the chart (buy/sell zones) when enabled
Only Display the Last Position : Displays only the most recent position on the chart when enabled.
Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility.
🔵 Conclusion
The TRH strategy is a precise structural model of liquidity flow that identifies zones where smart money is most likely to enter and where price is most likely to react. By combining the Origin Pivot and Break Candle, TRH isolates the key areas that drive institutional order flow. Without relying on indicators, it focuses purely on price structure, making it highly effective for both reactive entries and Set & Forget setups.
Ultimately, TRH creates a balance between market structure and liquidity flow, enabling traders to identify institutional decision zones on the chart with minimal risk and maximum clarity
