ICT Macro Zone Boxes w/ Individual H/L Tracking v3.1ICT Macro Zones (Grey Box Version
This indicator dynamically highlights key intraday time-based macro sessions using a clean, minimalistic grey box overlay, helping traders align with institutional trading cycles. Inspired by ICT (Inner Circle Trader) concepts, it tracks real-time highs and lows for each session and optionally extends the zone box after the session ends — making it a precision tool for intraday setups, order flow analysis, and macro-level liquidity sweeps.
### 🔍 **What It Does**
- Plots **six predefined macro sessions** used in Smart Money Concepts:
- AM Macro (09:50–10:10)
- London Close (10:50–11:10)
- Lunch Macro (11:30–13:30)
- PM Macro (14:50–15:10)
- London SB (03:00–04:00)
- PM SB (15:00–16:00)
- Each zone:
- **Tracks high and low dynamically** throughout the session.
- **Draws a consistent grey shaded box** to visualize price boundaries.
- **Displays a label** at the first bar of the session (optional).
- **Optionally extends** the box to the right after the session closes.
### 🧠 **How It Works**
- Uses Pine Script arrays to define each session’s time window, label, and color.
- Detects session entry using `time()` within a New York timezone context.
- High/Low values are updated per bar inside the session window.
- Once a session ends, the box is optionally closed and fixed in place.
- All visual zones use a standardized grey tone for clarity and consistency across charts.
### 🛠️ **Settings**
- **Shade Zone High→Low:** Enable/disable the grey macro box.
- **Extend Box After Session:** Keep the zone visible after it ends.
- **Show Entry Label:** Display a label at the start of each session.
### 🎯 **Why This Script is Unique**
Unlike basic session markers or colored backgrounds, this tool:
- Focuses on **macro moments of liquidity and reversal**, not just open/close times.
- Uses **per-session logic** to individually track price behavior inside key time windows.
- Supports **real-time high/low tracking and clean zone drawing**, ideal for Smart Money and ICT-style strategies.
Perfect — based on your list, here's a **bundle-style description** that not only explains the function of each script but also shows how they **work together** in a Smart Money/ICT workflow. This kind of cross-script explanation is exactly what TradingView wants to see to justify closed-source mashups or interdependent tools.
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📚 ICT SMC Toolkit — Script Integration Guide
This set of advanced Smart Money Concept (SMC) tools is designed for traders who follow ICT-based methodologies, combining liquidity theory, time-based precision, and engineered confluences for high-probability trades. Each indicator is optimized to work both independently and synergistically, forming a comprehensive trading framework.
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First FVG Custom Time Range
**Purpose:**
Plots the **first Fair Value Gap (FVG)** that appears within a defined session (e.g., NY Kill Zone, Custom range). Includes optional retest alerts.
**Best Used With:**
- Use with **ICT Macro Zones (Grey Box Version)** to isolate FVGs during high-probability times like AM Macro or PM SB.
- Combine with **Liquidity Levels** to assess whether FVGs form near swing points or liquidity voids.
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ICT SMC Liquidity Grabs and OB s
**Purpose:**
Detects **liquidity grabs** (stop hunts above/below swing highs/lows) and **bullish/bearish order blocks**. Includes optional Fibonacci OTE levels for sniper entries.
**Best Used With:**
- Use with **ICT Turtle Soup (Reversal)** for confirmation after a liquidity grab.
- Combine with **Macro Zones** to catch order blocks forming inside timed macro windows.
- Match with **Smart Swing Levels** to confirm structure breaks before entry.
ICT SMC Liquidity Levels (Smart Swing Lows)
**Purpose:**
Automatically marks swing highs/lows based on user-defined lookbacks. Tracks whether those levels have been breached or respected.
**Best Used With:**
- Combine with **Turtle Soup** to detect if a swing level was swept, then reversed.
- Use with **Liquidity Grabs** to confirm a grab occurred at a meaningful structural point.
- Align with **Macro Zones** to understand when liquidity events occur within macro session timing.
ICT Turtle Soup (Liquidity Reversal)
**Purpose:**
Implements the classic ICT Turtle Soup model. Looks for swing failure and quick reversals after a liquidity sweep — ideal for catching traps.
Best Used With:
- Confirm with **Liquidity Grabs + OBs** to identify institutional activity at the reversal point.
- Use **Liquidity Levels** to ensure the reversal is happening at valid previous swing highs/lows.
- Amplify probability when pattern appears during **Macro Zones** or near the **First FVG**.
ICT Turtle Soup Ultimate V2
**Purpose:**
An enhanced, multi-layer version of the Turtle Soup setup that includes built-in liquidity checks, OTE levels, structure validation, and customizable visual output.
**Best Used With:**
- Use as an **entry signal generator** when other indicators (e.g., OBs, liquidity grabs) are aligned.
- Pair with **Macro Zones** for high-precision timing.
- Combine with **First FVG** to anticipate price rebalancing before explosive moves.
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## 🧠 Workflow Example:
1. **Start with Macro Zones** to focus only on institutional trading windows.
2. Look for **Liquidity Grabs or Swing Sweeps** around key highs/lows.
3. Check for a **Turtle Soup Reversal** or **Order Block Reaction** near that level.
4. Confirm confluence with a **Fair Value Gap**.
5. Execute using the **OTE level** from the Liquidity Grabs + OB script.
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Let me know which script you want to publish first — I’ll tailor its **individual TradingView description** and flag its ideal **“Best Used With” partners** to help users see the value in your ecosystem.
在腳本中搜尋"liquidity"
CISD [TakingProphets]🧠 Indicator Purpose:
The "CISD - Change in State of Delivery" is a precision tool designed for traders utilizing ICT (Inner Circle Trader) conecpets. It detects critical shifts in delivery conditions after liquidity sweeps — helping you spot true smart money activity and optimal trade opportunities. This script is especially valuable for traders applying liquidity concepts, displacement recognition, and market structure shifts at both intraday and swing levels.
🌟 What Makes This Indicator Unique:
Unlike basic trend-following or scalping tools, CISD operates through a two-phase smart money logic:
Liquidity Sweep Detection (sweeping Buyside or Sellside Liquidity).
State of Delivery Change Identification (through bearish or bullish displacement after the sweep).
It intelligently tracks candle sequences and only signals a CISD event after true displacement — offering a much deeper context than ordinary indicators.
⚙️ How the Indicator Works:
Swing Point Detection: Identifies recent pivot highs/lows to map Buyside Liquidity (BSL) and Sellside Liquidity (SSL) zones.
Liquidity Sweeps: Watches for price breaches of these liquidity points to detect institutional stop hunts.
Sequence Recognition: Finds series of same-direction candles before sweeps to mark institutional accumulation/distribution.
Change of Delivery Confirmation: Confirms CISD only after significant displacement moves price against the initial candle sequence.
Visual Markings: Automatically plots CISD lines and optional labels, customizable in color, style, and size.
🎯 How to Use It:
Identify Liquidity Sweeps: Watch for CISD levels plotted after a liquidity sweep event.
Plan Entries: Look for retracements into CISD lines for high-probability entries.
Manage Risk: Use CISD levels to refine your stop-loss and profit-taking zones.
Best Application:
After stop hunts during Killzones (London Open, New York AM).
As part of the Flow State Model: identify higher timeframe PD Arrays ➔ wait for lower timeframe CISD confirmation.
🔎 Underlying Concepts:
Liquidity Pools: Highs and lows cluster stop orders, attracting institutional sweeps.
Displacement: Powerful price moves post-sweep confirm smart money involvement.
Market Structure: CISD frequently precedes major Change of Character (CHoCH) or Break of Structure (BOS) shifts.
🎨 Customization Options:
Adjustable line color, width, and style (solid, dashed, dotted).
Optional label display with customizable color and sizing.
Line extension settings to keep CISD zones visible for future reference.
✅ Recommended for:
Traders studying ICT Smart Money Concepts.
Intraday scalpers and higher timeframe swing traders.
Traders who want to improve entries around liquidity sweeps and institutional displacement moves.
🚀 Bonus Tip:
For maximum confluence, pair this with the HTF POI, ICT Liquidity Levels, and HTF Market Structure indicators available at TakingProphets.com! 🔥
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones
The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe.
What Does This Script Do?
This script integrates three key concepts to identify potential trading opportunities:
SMT Divergence:
SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts.
Liquidity Grabs:
Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity.
Optimal Trade Entry (OTE) Zones:
OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility.
By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions.
Why Combine These Components?
The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons:
Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups.
Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability.
Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy.
Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles.
This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours.
How to Use the Script
Setup:
Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m).
Configure the settings in the indicator's inputs:
Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired.
Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated.
Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals.
OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%).
Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting.
Interpreting Signals:
Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup.
Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session.
Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry.
Trading Example:
On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session.
A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)".
Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence.
Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level.
Originality and Utility
The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence.
Tips for Best Results
Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence.
Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading.
Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups.
Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
Four-Color Order Flow System Four-Color Order Flow System – Smart Money Liquidity Tracking
Revolutionizing Market Structure with a Four-Color Candle System
Traditional candlestick charts lack real-time liquidity visibility, forcing traders to rely on lagging indicators. The Four-Color Order Flow System solves this by integrating Order Blocks (OBs), Accumulation/Distribution (AD), Swing High/Low (SH/SL), and Delta metrics directly into the candle structure. This mashup of volume, price action, and liquidity flow gives traders an intuitive and immediate read on market conditions.
📌 Key Features & How They Work Together
🔹 Four-Color Candles – A Visual Edge Over Traditional Charts
Instead of basic red/green candles, we introduce a four-color system to highlight key liquidity shifts:
• 🔴 Red – Bearish pressure, aggressive sellers dominating.
• 🟢 Green – Bullish pressure, buyers stepping in.
• 🔵 Blue – Swing Highs (SH), Bullish Order Blocks (OBs), Accumulation zones.
• 🟡 Yellow – Swing Lows (SL), areas of liquidity sweep or potential reversal.
This eliminates the need to switch between multiple indicators—price structure, liquidity zones, and order flow are embedded directly into the chart.
🔹 EMA Logic – The Trend Foundation
The EMA acts as the core trend filter, dynamically adjusting to market bias. When combined with delta and liquidity flow, it helps traders confirm whether price action aligns with smart money movements.
🔹 Order Flow & Liquidity Mashup – What’s Really Moving the Market?
📊 Rolling Delta & Cumulative Delta – Track aggressive buyers/sellers and confirm if momentum is sustained or fading.
💰 Liquidity Flow & Shift – Shows whether market makers are accumulating or distributing, helping traders avoid fake breakouts.
📈 Money Flow Index & Value – Measures real institutional participation vs. retail noise.
These elements combine to validate price moves, making it clear when smart money is truly in control.
🔹 Swing Highs & Lows – Market Structure in Real-Time
SH/SL markers don’t lag behind multiple candles like in traditional indicators. Instead, they align with OBs and liquidity flow, giving a strong confirmation of trend continuation or reversal.
🔹 Live Label Update – Real-Time Market Intelligence
The dynamic label box provides a live feed of critical metrics, including:
✅ EMA Bias – Confirms market direction.
✅ Rolling & Cumulative Delta – Tracks aggressive buy/sell imbalances.
✅ Liquidity Flow & Money Flow Index – Confirms institutional strength.
✅ FVG Execution Scanning (Coming Soon!)
This ensures traders have instant insight into market conditions without needing to check multiple sources.
📈 Why Traders Need This System
🔹 Faster Decision-Making – No need to flip between indicators; everything is visible on the chart.
🔹 Clearer Liquidity Insights – Order flow, delta, and structure all in sync.
🔹 Works for Scalping & Day Trading – Designed for real-time execution, not lagging signals.
By integrating order blocks, liquidity shifts, and a four-color candle system, this tool provides the most complete view of market control in a single chart.
📌 Stop reacting. Start anticipating. Trade with the flow of smart money.
Indiq 2.0The functionality of the indicator includes the following features:
Moving Averages (MA):
The ability to adjust periods for short (short_ma_length) and long (long_ma_length) moving averages.
Display of moving averages on the chart:
Short MA (blue line).
Long MA (red line).
Generation of buy and sell signals:
Buy (BUY): When the short MA crosses the long MA from below.
Sell (SELL): When the short MA crosses the long MA from above.
Visualization of signals on the chart:
Buy is displayed as a green BUY marker below the candle.
Sell is displayed as a red SELL marker above the candle.
Liquidity Heatmap:
Liquidity levels:
Levels are calculated based on the closing price and a step (liquidity_step).
Levels are grouped by the nearest price values.
Volumes at levels:
Volume (volume) is accumulated for each liquidity level.
Levels with a volume less than min_volume_filter are not displayed.
Time filtering:
Levels that have not been updated within the last time_filter bars are not displayed.
Volatility filtering:
Levels are filtered by volatility (ATR) to exclude those outside the volatility range.
Color gradient:
The color of levels depends on volume (gradient from gradient_start_color to gradient_end_color).
Visualization:
Liquidity levels are displayed as horizontal lines.
Volumes at levels are shown as text labels.
RSI Filtering:
The ability to enable/disable RSI filtering (rsi_filter).
Liquidity levels are filtered based on overbought (rsi_overbought) and oversold (rsi_oversold) conditions.
Levels that do not meet RSI conditions are not displayed.
MACD Filtering:
The ability to enable/disable MACD filtering (macd_filter).
Liquidity levels are filtered based on the MACD histogram condition (e.g., only if the histogram is above zero).
Levels that do not meet MACD conditions are not displayed.
Display of Market Maker Buys:
Condition for market maker buys:
Volume exceeds the average volume over the last 20 bars by 2 times.
Closing price is above the opening price.
Market maker buys are displayed on the chart as orange MM Buy markers below the candle.
Indicator Settings:
Moving average parameters:
short_ma_length: Period for the short MA.
long_ma_length: Period for the long MA.
Liquidity heatmap parameters:
liquidity_step: Step between liquidity levels.
max_levels: Maximum number of levels to display.
time_filter: Time filter (last N bars).
min_volume_filter: Minimum volume for displaying a level.
volatility_filter: Volatility filter (ATR multiplier).
RSI parameters:
rsi_filter: Enable/disable RSI filtering.
rsi_overbought: Overbought RSI level.
rsi_oversold: Oversold RSI level.
MACD parameters:
macd_filter: Enable/disable MACD filtering.
Color settings:
gradient_start_color: Starting color of the gradient.
gradient_end_color: Ending color of the gradient.
Visualization:
Moving averages:
Short MA: Blue line.
Long MA: Red line.
Signals:
Buy: Green BUY marker.
Sell: Red SELL marker.
Liquidity heatmap:
Liquidity levels: Horizontal lines with a color gradient.
Volumes: Text labels at levels.
Market maker buys:
Orange MM Buy markers.
Alerts:
The ability to set alerts for signals:
Buy (BUY).
Sell (SELL).
Additional Features:
Flexible filter settings:
Filtering by time, volume, volatility, RSI, and MACD.
Extensibility:
The ability to add new filters (e.g., Stochastic, Volume Profile, etc.).
Visual customization:
Adjustment of colors, sizes, and display styles.
Summary:
The indicator provides a comprehensive tool for analyzing liquidity, generating trading signals, and tracking market maker activity. It combines:
A liquidity heatmap.
Signals based on moving averages.
Filtering by RSI and MACD.
Display of market maker buys.
Flexible settings and visualization.
This indicator is suitable for traders who want to analyze liquidity levels, identify entry and exit points, and monitor the actions of large market players.
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
CandelaCharts - Volume Imbalance (VI) 📝 Overview
Volume Imbalance occurs when there’s a noticeable gap between the bodies of two consecutive candlesticks, with no overlap between them. While the wicks of the candles might intersect, the candle bodies remain entirely separate. This phenomenon often signifies that the algorithm driving market activity did not evenly distribute prices between these two levels, leaving behind a small Volume Imbalance (VI).
A Bullish Volume Imbalance forms when the body of a green candlestick gaps above the previous candle’s body, with no overlap, indicating strong upward momentum and insufficient sell-side liquidity.
A Bearish Volume Imbalance forms when the body of a red candlestick gaps below the previous candle’s body, with no overlap, signaling intense downward pressure and a lack of buy-side liquidity.
This indicator can automatically identify volume imbalances by scanning candlestick patterns and detecting gaps between consecutive candle bodies. These volume imbalances act as price magnets, often attracting the market back to fill the gap before resuming its original direction. Recognizing and leveraging these gaps can be a powerful tool in technical analysis for predicting price movements.
📦 Features
MTF
Mitigation
Consequent Encroachment
Threshold
Hide Overlap
Advanced Styling
⚙️ Settings
Show: Controls whether VIs are displayed on the chart.
Show Last: Sets the number of VIs you want to display.
Length: Determines the length of each VI.
Mitigation: Highlights when a VI has been touched, using a different color without marking it as invalid.
Timeframe: Specifies the timeframe used to detect VIs.
Threshold: Sets the minimum gap size required for VI detection on the chart.
Show Mid-Line: Configures the midpoint line's width and style within the VI. (Consequent Encroachment - CE)
Show Border: Defines the border width and line style of the VI.
Hide Overlap: Removes overlapping VIs from view.
Extend: Extends the VI length to the current candle.
Elongate: Fully extends the VI length to the right side of the chart.
⚡️ Showcase
Simple
Mitigated
Bordered
Consequent Encroachment
Extended
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish alert triggers when a red candlestick gaps below the previous body, signaling downward pressure.
Bullish Signal
A bullish alert triggers when a green candlestick gaps above the previous body, indicating upward momentum.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Custom V2 KillZone US / FVG / EMAThis indicator is designed for traders looking to analyze liquidity levels, opportunity zones, and the underlying trend across different trading sessions. Inspired by the ICT methodology, this tool combines analysis of Exponential Moving Averages (EMA), session management, and Fair Value Gap (FVG) detection to provide a structured and disciplined approach to trading effectively.
Indicator Features
Identifying the Underlying Trend with Two EMAs
The indicator uses two EMAs on different, customizable timeframes to define the underlying trend:
EMA1 (default set to a daily timeframe): Represents the primary underlying trend.
EMA2 (default set to a 4-hour timeframe): Helps identify secondary corrections or impulses within the main trend.
These two EMAs allow traders to stay aligned with the market trend by prioritizing trades in the direction of the moving averages. For example, if prices are above both EMAs, the trend is bullish, and long trades are favored.
Analysis of Market Sessions
The indicator divides the day into key trading sessions:
Asian Session
London Session
US Pre-Open Session
Liquidity Kill Session
US Kill Zone Session
Each session is represented by high and low zones as well as mid-lines, allowing traders to visualize liquidity levels reached during these periods. Tracking the price levels in different sessions helps determine whether liquidity levels have been "swept" (taken) or not, which is essential for ICT methodology.
Liquidity Signal ("OK" or "STOP")
A specific signal appears at the end of the "Liquidity Kill" session (just before the "US Kill Zone" session):
"OK" Signal: Indicates that liquidity conditions are favorable for trading the "US Kill Zone" session. This means that liquidity levels have been swept in previous sessions (Asian, London, US Pre-Open), and the market is ready for an opportunity.
"STOP" Signal: Indicates that it is not favorable to trade the "US Kill Zone" session, as certain liquidity conditions have not been met.
The "OK" or "STOP" signal is based on an analysis of the high and low levels from previous sessions, allowing traders to ensure that significant liquidity zones have been reached before considering positions in the "Kill Zone".
Detection of Fair Value Gaps (FVG) in the US Kill Zone Session
When an "OK" signal is displayed, the indicator identifies Fair Value Gaps (FVG) during the "US Kill Zone" session. These FVGs are areas where price may return to fill an "imbalance" in the market, making them potential entry points.
Bullish FVG: Detected when there is a bullish imbalance, providing a buying opportunity if conditions align with the underlying trend.
Bearish FVG: Detected when there is a bearish imbalance, providing a selling opportunity in the trend direction.
FVG detection aligns with the ICT Silver Bullet methodology, where these imbalance zones serve as probable entry points during the "US Kill Zone".
How to Use This Indicator
Check the Underlying Trend
Before trading, observe the two EMAs (daily and 4-hour) to understand the general market trend. Trades will be prioritized in the direction indicated by these EMAs.
Monitor Liquidity Signals After the Asian, London, and US Pre-Open Sessions
The high and low levels of each session help determine if liquidity has already been swept in these areas. At the end of the "Liquidity Kill" session, an "OK" or "STOP" label will appear:
"OK" means you can look for trading opportunities in the "US Kill Zone" session.
"STOP" means it is preferable not to take trades in the "US Kill Zone" session.
Look for Opportunities in the US Kill Zone if the Signal is "OK"
When the "OK" label is present, focus on the "US Kill Zone" session. Use the Fair Value Gaps (FVG) as potential entry points for trades based on the ICT methodology. The identified FVGs will appear as colored boxes (bullish or bearish) during this session.
Use ICT Methodology to Manage Your Trades
Follow the FVGs as potential reversal zones in the direction of the trend, and manage your positions according to your personal strategy and the rules of the ICT Silver Bullet method.
Customizable Settings
The indicator includes several customization options to suit the trader's preferences:
EMA: Length, source (close, open, etc.), and timeframe.
Market Sessions: Ability to enable or disable each session, with color and line width settings.
Liquidity Signals: Customization of colors for the "OK" and "STOP" labels.
FVG: Option to display FVGs or not, with customizable colors for bullish and bearish FVGs, and the number of bars for FVG extension.
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Cet indicateur est conçu pour les traders souhaitant analyser les niveaux de liquidité, les zones d’opportunité, et la tendance de fond à travers différentes sessions de trading. Inspiré de la méthodologie ICT, cet outil combine l'analyse des moyennes mobiles exponentielles (EMA), la gestion des sessions de marché, et la détection des Fair Value Gaps (FVG), afin de fournir une approche structurée et disciplinée pour trader efficacement.
RunRox - Advanced SMC⭐️ Introducing Our Advanced SMC Indicator: Elevate Your Smart Money Concept Trading
We are excited to present our innovative indicator, specifically designed for the Smart Money Concept (SMC). Our approach goes beyond the traditional SMC strategy by offering significant enhancements that can help you achieve stronger trading performance.
We employ a more sophisticated SMC structure, incorporating improved IDM (Inducement) logic, both internal and external structures, and four types of order blocks. This allows for deeper insights into market trends and a clearer understanding of how major market participants may be manipulating price action.
🟠 Indicator Features:
Structure
HTF Structure – Choose any timeframe and display its structure on your current chart.
CHoCH | BOS | IDM – Display any components from this structure.
Market Minor Structure – Swing and Minor structure.
BOS/CHoCH Breaking by (Body | Wick) – Choose the principle for building the structure, either by the candle body or by their wicks.
BOS/CHoCH Move if Swept – When liquidity is taken, decide whether to move the structure line higher or consider it a structural break.
Move CHoCH/BOS – Relocate key points on the chart if the structure becomes too large.
FVG Concept
HTF FVG – Choose any timeframe from which you want to display FVG on your current chart
Three Types of FVG – Classic FVG, Double FVG, Implied Imbalance
Reaction to FVG – Show the market’s reaction to FVG on the chart
Mitigation Method – Select the fill method that suits your approach (Touch/Midline/Complete)
Remove Filled FVG – Remove FVGs from the chart once they have been filled
Combine FVG – Merge several consecutive FVGs into one
Length FVG – Adjust the number of candles that define the FVG
OrderBlock Concept
HTF OrderBlock – Choose any timeframe from which you want to display orderblocks on your current chart
Swing and Minor Orderblocks – Display only the orderblocks you need, whether from the Swing or Minor structure
Four Types of Order Blocks – Advanced OB, Classic OB, BTS/STB zones, Extremum Candle
Block Based on – Decide whether to base the orderblock on candle highs/lows or candle open/close
Mitigation Method – Define when an orderblock is considered filled (Touch/Midline/Complete)
Remove Blocks Older – Remove older orderblocks from the chart
Hide Overlap – Disable overlapping orderblocks when they appear in the same area
Eat Young Blocks – Reduce the size of an orderblock until it fully forms
Hide Distant Blocks – Remove orderblocks that are too far from the current price
Previous Highs & Lows
Four Level Types – Day, Week, Month, Quarter
Style Customization – Choose line color, line style, and transparency
Fibonacci Retracements
10 Template Options – Ten different bases on which you can build your Fibonacci grid
Up to 7 Levels – Add up to seven Fibonacci levels for your convenience
Fibo Inversion – Option to invert the Fibonacci grid
Style Customization – Choose line colors, line styles, and transparency
Additional Functions
Premium & Discount Zones – A popular concept we’ve incorporated to help identify potential trading areas within premium or discount prices
Equal Highs & Lows – High-liquidity levels where market makers may seek liquidity
Color Candles – Automatically colors candles based on the current trend
Market Structure ZigZag – Offers a clear visual of the zigzag pattern on which the structure is built
Key Point Labels – Displays important swing high/low points directly on the chart
General Styling – Customize any chart element, including size, style, color, and transparency
Alert Customization – Over 16 types of alerts, easily configured in a few clicks. Receive only the notifications you need. Custom alerts are also available for developers.
Next, we will provide a detailed overview of all the indicator’s features, accompanied by chart examples.
📈 Structure
What Is IDM?
IDM, or the Institutional Distribution Model, is an advanced concept within SMC that focuses on how institutional players distribute their positions in the market. By analyzing IDM, traders can better anticipate price movements and potential turning points, thereby gaining a meaningful edge in their trading.
In our structure concept, IDM can form under specific conditions. The market does not always provide a high-liquidity point to work with, so we’ve adopted a flexible approach. We generate IDM when a certain type of liquidity appears during the impulse and BOS break, allowing for a potential future liquidity sweep.
Below, I will provide an example that illustrates when IDM forms as a liquidity magnet within the structure - and when it does not.
As shown in the example above, we focus on the initial impulse after the BOS. If liquidity forms during this impulse - liquidity that needs to be taken out during the structural move - we mark an IDM level as a price magnet. However, if this liquidity does not appear, we do not create an IDM. In that case, the same point might serve as an FVG or play a different role, depending on your trading approach.
This concept makes the structure more flexible and better able to respond immediately to market movements and key structural points.
Above is an example on the chart illustrating what the structure looks like both with and without IDM. As you can see, when the structural move includes pullbacks and consolidation, there is an opportunity to form an IDM as a price magnet. However, if the impulses are strong and lack pullbacks, FVG becomes the only magnet in that move. Depending on the chart, our indicator adapts to the current market conditions and highlights potential liquidity collection points.
📊 Swing and Minor Structure
In the new version of the indicator, the minor structure and the swing structure differ from each other.
Swing structure - In this structure, as mentioned earlier, the IDM concept remains a price magnet and is formed at certain points on the chart if the conditions allow. If these points do not appear, IDM might not form at all.
Minor structure - Here, we have completely removed IDM and only kept BOS and CHoCH for structure formation. We found that for a minor structure, this approach allows faster reactions to trend changes, depending on market movements.
By making these adjustments, we have resolved the main issue of the advanced structure, which was the large distance between BOS and CHoCH that sometimes resulted in a month-long consolidation between these levels. In this version, those problems no longer occur.
If, for some reason, your settings result in a larger swing structure, you can still work with the minor structure using the same POI as in the swing structure. OrderBlock and FVG remain the primary drivers of order flow.
Shown above is a screenshot of the main structure settings you can adjust. These settings are highly flexible and can be tailored to fit a wide range of trading preferences.
⚖️ FVG Concept
A new feature of our indicator is the FVG concept. We automatically detect three types of FVG at the moment, which will be explained below.
FVG - the standard Fair Value Gap
Double FVG - a double FVG, also referred to as BPR (Balanced Price Range)
Implied Imbalance - a type of imbalance that arises from buyer or seller demand
Below, we will look at examples of the FVG types we currently identify.
All price inefficiencies work in real time, immediately appearing on the chart and allowing traders to quickly respond to FVG reactions.
We have also enhanced this concept by displaying FVG reactions on the chart. If an FVG triggers a reaction and the price responds to that range, we highlight it on the chart, so you can recognize the reaction and make timely trading decisions. A screenshot below shows how this looks in practice.
Below is a screenshot illustrating the main settings of this concept, along with detailed descriptions.
📦 OrderBlock Concept
OrderBlocks provide an effective way to identify areas of interest and make informed decisions. We have dedicated significant effort to refining this section’s functionality and have achieved strong results in doing so.
Order Block Types
Advanced OrderBlock – A specialized type of order block generated by our internal algorithm. This can help traders aim for tighter entries and potentially more favorable risk-reward ratios within a narrow price range.
OrderBlock – The classic type, formed at the highs or lows of a structure when a BOS or CHoCH occurs. It can still be an effective entry method but typically spans a wider price range.
Extremum Candle – Based on liquidity grabs. The candle creating this order block must collect liquidity before making an impulsive move that breaks the BOS or CHoCH.
BTS / STB (Buy To Sell / Sell To Buy) – This concept may appear when market makers manipulate price to buy or sell an asset. It often covers a larger price range because it relies on a brief impulsive move to form.
Each type of order block has its own strengths and weaknesses. We provide traders with the flexibility to choose which types suit their trading style and preferences.
Above is an example of how you can apply OrderFlow alongside our structure and orderblocks, which can produce solid results when combined with the Smart Money concept.
In this demonstration, we have highlighted the Advanced Orderblock as an illustration.
Above is a screenshot of all the settings related to this section. They can be customized to suit your specific needs, ensuring you only see what is genuinely relevant on your chart.
📏 Previous Highs and Lows
You can select four levels to display on the chart as some of the most liquid zones:
Daily Highs and Lows
Weekly Highs and Lows
Monthly Highs and Lows
Quarterly Highs and Lows
This feature helps you identify important levels on lower timeframes and focus on these zones for potential trading opportunities. Below is an example of how it appears on the chart.
Below, you can see the settings available in this section.
📐 Fibonacci Levels
Likewise, a new section in our indicator is Fibonacci Levels, a well-known tool recognized as a reliable source of important levels on the chart. We have added this functionality with the option to choose how you want to generate these levels and which specific levels you want to display.
You can plot Fibonacci levels based on the Swing structure, Minor structure, previous or current day, month, and more. In total, there are 10 different options for constructing the Fibonacci grid.
Above, you can see an example of how it appears on the chart, and below you will find the settings available in this section.
🈹 Premium and Discount
Another useful feature for all traders is the Premium and Discount zones based on structure. This makes it easy to identify areas of interest—whether in a discount or premium zone, or in an equilibrium area.
Below, you can also see the settings available in this section.
✅ Additional Function
We have also separated a few functions into their own section:
Color Candles – Colors the candles according to the current trend.
Market Structure ZigZag – Visually highlights the zigzag used to form the structure.
Key Point Labels – Displays the points on the chart from which the structure is built.
Equal Highs & Lows – Identifies equal highs and lows as areas of potential liquidity for larger market players, as price often aims to sweep these zones.
Below are a few screenshots showing how these features appear on the chart.
Color Candles
Market Structure ZigZag and Key Point Labels
Equal Highs & Lows
Below, you can see a screenshot displaying all the settings available in this section.
🎨 General Styling
We have devoted considerable effort to providing flexible customization for each element on the chart, so you can design the exact look you want. That’s why we created an additional section where you can adjust any element’s size, style, and more.
Combined with extensive color and transparency options, this feature provides a flexible appearance for the indicator on any chart.
Below, you can see the settings available in this section
🔔 Alert Customization
You can configure over 16 types of reactions to various events on the chart. Additionally, you can set up alerts to trigger at specific fill levels and explore numerous other alert options, as shown in the screenshot below.
🟠 Usage Examples
We have also prepared several examples of how to use the indicator. These are standard entry models taken from the classic Smart Money concept.
First Example
In the screenshot above, the market displays a downward structure until a manipulation occurs, followed by a CHoCH break. This is a standard entry model featuring an entry at the nearest FVG, a stop-loss placed beyond the manipulation, and a target at the nearest liquidity zone—whether session-based or, as in our case, a gap (one of the FVG types) that price commonly revisits.
This is considered a more aggressive entry because we only waited for a single confirmation of the trend change—the CHoCH break—and then entered immediately afterward. While the WinRate might be lower in such trades, the Risk-Reward ratio is typically very high if you correctly identify the manipulation.
Second Example
This approach is more conservative and less risky, typically offering a higher WinRate but with a lower Risk-Reward ratio.
Here, we use the 4H FVG as our decision point (POI). With the indicator, we plot the 4-hour FVG on our current chart without needing to switch back and forth between timeframes.
Once price reaches our POI, we look for an entry model that includes three confirmations:
First Confirmation – A CHoCH break.
Second Confirmation – A manipulation.
Third Confirmation – A second BOS break.
We wait for all these confirmations before entering the trade, ensuring our stop-loss is well-protected since the remaining liquidity has been swept and the 4-hour FVG has been fully filled.
Our target is the full fill of a higher timeframe FVG or other high-liquidity levels below.
In a conservative setup, it is crucial to allow a complete OrderFlow to develop, including manipulations and clear breaks of lower levels. This approach helps protect the trade and often results in a higher WinRate.
🟠 Disclaimer
Past performance is not indicative of future results. To trade successfully, it is crucial to have a thorough understanding of the market context and the specific situation at hand. Always conduct your own research and analysis before making any trading decisions.
To gain access to the indicator, please review the author's instructions below this post
PAT Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Price Action Toolkit (PAT) Screener! This screener can spot trading opportunities that Price Action Toolkit offers across 8 different tickers! We believe that this screener will help you take a glimpse of the current state of the market much easier.
Features of the new Price Action Toolkit (PAT) Screener :
Finds Latest Across 8 Tickers:
Order Blocks
Breaker Blocks
Fair Value Gaps (FVG)
Inversion FVGs
Market Structures (BOS, CHoCH, CHoCH+)
Liquidity Zones
Liquidity Grabs
Premium / Discount Zones
Shows Additional Information Like :
Strength
Retests
(Bullish & Bearish) Volume
Consumption
Also :
All Features Support Tuning
Customizable Theme
📌 HOW DOES IT WORK ?
1. Order Blocks
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenario, the low volume becomes the last 2 bars' total volume.
2. Breaker Blocks
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, i.e. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
The strength of Order & Breaker Blocks are calculated by the size of the block to the Average True Range (ATR) of the chart.
3. Fair Value Gaps
Fair value gaps often occur when there is an imbalance in the market, and can be spotted with a specific formation on the chart.
The volume when the FVG occurs plays an important role when determining the strength of it, so we've placed two bars on the FVG zone, indicating the high & low volumes of the FVG. The high volume is the total volume of the last two bars on a bullish FVG, while the low volume is - of the FVG. For a bearish FVG, the total volume of the last two bars is the low volume. The indicator can also detect FVGs that exist in other timeframes than the current chart.
4. Inversion Fair Value Gaps
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. An Inverse Fair Value Gap is when a FVG becomes invalidated, thus reversing the direction of the FVG.
IFVGs get consumed when a Close / Wick enters the IFVG zone. Check this example:
5. Market Structures
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
The number of times the chart recently had a BOS is displayed between brackets, Ex : (3)
6. Liquidity Zones
Buyside & Sellside Liquidity zones are where most traders place their take-profits and stop-losses in their long / short positions. They are spotted by using high & low pivot points on the chart.
7. Liquidity Grabs
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a liquidity grab has occurred.
8. Premium & Discount Zones
The premium zone is a zone that is over the fair value of the asset's price, and the discount zone is the opposite. They are formed by the latest high & low pivot points.
If the latest close price is outside the Premium or Discount zone, you will see "Premium ⬆️" or "Discount ⬇️". These mean that the price is currently higher than the premium zone or lower than the discount zone.
🚩UNIQUENESS
This screener offers a comprehensive dashboard for traders, combining multiple analytical elements with customizable settings to aid in decision-making across different tickers and timeframes. We believe that this will help traders spot trading opportunities much easier by providing crucial information in a single dashboard. Our new screener contains of common elements like Order & Breaker Blocks, Fair Value Gaps & IFVGs as well as rather unique elements like Liquidity Grabs . With the use of up to 8 tickers & timeframes , you can easily take a look at the bigger picture of the market. We recommend reading the "How Does It Work" section of the description to get a better understanding about how this indicator is unique to others.
⚙️SETTINGS
1. Tickers
You can set up to 8 tickers for the screener to scan here. You can also enable / disable them and set their individual timeframes.
You can enable / disable Retests, Strength, Consumption and (Bullish & Bearish) Volume for :
Order Blocks (Retests, Strength, Bullish & Bearish Volume)
Breaker Blocks (Retests, Strength, Volume)
Fair Value Gaps (Retests, Consumption, Strength, Bullish & Bearish Volume)
Inversion Fair Value Gaps (Retests, Consumption, Strength, Volume)
2. Order Blocks
Enabled -> Enables / Disables Order Blocks
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
3. Breaker Blocks
Enabled -> Enables / Disables Breaker Blocks
Zone Invalidation -> Select between Wick & Close price for Breaker Block Invalidation.
4. Fair Value Gaps
Enabled -> Enables / Disables Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
5. Inversion Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation. This setting also switches the type for IFVG consumption.
6. Market Structures
Break Of Structure (BOS) -> If the current structure of the market is broken in a bullish or bearish direction, it will be displayed.
Change Of Character (CHoCH) -> If the market shifts into another direction, it will be displayed.
Change Of Character+ (CHoCH+) -> This will display Change Of Characters detected with higher sensitivity if enabled.
7. Liquidity Zones
Buyside Liquidity -> Enables / Disables Buyside Liquidity
Sellside Liquidity -> Enables / Disables Sellside Liquidity
8. Liquidity Grabs
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
9. Premium & Discount Zones
Enabled -> Enables / Disables Premium & Discount Zones.
10. Style
You can customize the visual looks of the screener here.
Momentum Concepts [AlgoAlpha]🚀 Introducing the Momentum Concepts™ , a robust multi-layered momentum analysis tool developed by AlgoAlpha . This All-in-One indicator offers a comprehensive approach to understanding market momentum, empowering traders with hyper customizable features to tailor their analysis to their specific trading strategies.
Designed with efficiency and compactness in mind, the script shows momentum regimes on three time horizons: The short-term ( Fast Oscillator ), medium-term ( Scalper's Momentum ) and long-term ( Momentum Impulse Oscillator and Hidden Liquidity Flow ). Additionally, the script also includes reversal signals for traders who prefer to trade contrarian/mean-reversion strategies. By utilizing a blend of advanced algorithms and customizable parameters, Momentum Concepts™ provides traders with a vast array of trading strategies ranging from high frequency scalping to timing better entries on long-term swing and investing positions.
Let's delve into the key features and functionalities of this versatile indicator:
🎯Key Features (summary):
Customizable Fast Oscillator: Tailor the fast oscillator to your preferences with adjustable settings for type, source, trend identification(signal processing) method, length, and more.
Divergence Detection: Identify potential trend reversals with ease using built-in divergence detection for both bullish and bearish signals.
Momentum Impulse Oscillator: Gain deeper insights into trending/ranging markets and underlying market bias with a dedicated oscillator, featuring adjustable trend impulse thresholds.
Scalper's Momentum: Utilize a specialized momentum indicator designed for scalping strategies, featuring agility in signal detection with noise reduction and customizable smoothing parameters.
Hidden Liquidity Flow Analysis: Assess hidden liquidity flows within the market, highlighting excess liquidity and potential squeeze situations.
Trend Confluence Indicator: Evaluate the overall momentum direction with dynamically colored zones, aggregating signals from Momentum Concepts™ components for a holistic view.
User-Friendly Interface: The indicator is presented in a clear and intuitive manner, making it accessible for traders of all experience levels.
All-Rounded Alerts: The indicator comes with a comprehensive alerts extension in a separate script, allowing you to stay informed of important market movements even when away from your trading platform.
🎯Key Features (in-depth):
The Fast Oscillator within Momentum Concepts™ comprises four components designed to provide insights into short-term momentum dynamics:
🔱Price Volume Swings :
This confirmation component uses our proprietary Price Volume Algorithm to analyze price action and volume to identify buying and selling pressure, aiding traders in spotting short-term swings for potential trading opportunities.
⚜️Price Volume Waves :
This leading component also uses our proprietary Price Volume Algorithm but differs from the Price Volume Swings by capturing dominant wave patterns instead. This indicator breaks down price and volume data into a wave-like plot which enables leading insights into market momentum due to the relatively predicable nature of sine-like waves. Leading components such as this and the Alpha Wave are best used with other confirmation components within the Momentum Concepts™ .
🌊Alpha Wave :
The Alpha Wave is a leading non-volume alternative to the Price Volume Waves . It reflects market momentum by analyzing price action only instead of using volume data, resulting in a normalized wave-like plot similar to that of the Price Volume Waves , offering a leading perspective on potential market momentum shifts. Leading components such as this and the Price Volume Waves are best used with other confirmation components within the Momentum Concepts™ .
🐲Dragon RSI :
The Dragon RSI is a confirmation component that determines market momentum by analyzing the directional movement of the Relative Strength Index (RSI). By doing so, users are able to visually identify the current short term trend of the market as well as identify overbought and oversold conditions.
Reversal Signals :
All the Fast Oscillator components come with reversal signals that are based on the respective components being either oversold or overbought.
Divergences :
All the Fast Oscillator components come with bullish and bearish divergences. Divergences within the Fast Oscillator components of Momentum Concepts ™ offer crucial signals for trend shifts. 🔱 Price Volume Swings and ⚜️ Price Volume Waves detect weakening buying or selling pressure, signalling potential reversals or continuations. 🌊 Alpha Wave and 🐲 Dragon RSI identify divergences between momentum and price, aiding traders in anticipating market movements. Leveraging these divergences enhances analysis, aiding traders in formulating meaningful analysis.
Customizable Signal Processing Methods :
All the Fast Oscillator components come with customizable signal processing methods to identify trends on the Fast Oscillator , they include (but not limited to) methods such as Heiken Ashi, and a vast selection of Moving Averages.
Diminishing Momentum Warning :
All the Fast Oscillator components come with a diminishing momentum warning that represents a reducing momentum on the Fast Oscillator . This can act as a take profit signal or as a precautionary warning that the price is about to change direction soon even though the Fast Oscillator has not detected it yet.
Dynamically Colored Reversal Zones :
Last but not least, the dynamic coloring of the reversal zones for Fast Oscillator can be customised based on either the reversal probability of the Fast Oscillator or based on the overall trend confluence of all the components within the Momentum Concepts™ indicator.
The Momentum Impulse Oscillator in Momentum Concepts™ offers crucial insights into long-term momentum trends, aiding traders in identifying the underlying momentum regime and differentiating between trending and consolidating markets.
Underlying Momentum Bias
By default, the Momentum Impulse Oscillator is set to show the longer term trend of price action, this can be used to set the directional bias for the markets and prevent users from trading against the trend.
Trending/Ranging Detection
The Momentum Impulse Oscillator comes with the option to enable trending thresholds, when the Momentum Impulse Oscillator is beyond these thresholds, it indicates a trending market, when Momentum Impulse Oscillator is within the thresholds, it indicates a consolidating/ranging market.
The Scalper's Momentum within Momentum Concepts™ furnishes traders with nuanced signals ideal for short to medium-term trading strategies. It efficiently displays both the medium-term momentum and any emerging divergences towards the opposing direction.
Medium-Term Momentum
The Scalper's Momentum is designed to fill the analysis gap between the Fast Oscillator and the Momentum Impulse Oscillator . Showing momentum insights over the medium-term.
Momentum Convergence-Divergence
The Scalper's Momentum is also capable of showing momentum convergences and divergences, which can be used as take-profit and/or confirmation signals to other components within Momentum Concepts™ .
The Hidden Liquidity Flow component of Momentum Concepts™ is designed to uncover underlying liquidity dynamics. This feature enables traders to anticipate potential price movements based on changes in liquidity flow, enhancing their ability to make informed trading decisions.
Underlying Liquidity Dynamics
The Hidden Liquidity Flow shows the underlying liquidity flow of the market, a positive liquidity flow indicates that liquidity is entering the market and increasing the probability of bullish price action, the opposite is true for negative liquidity flows.
Excess Liquidity Flow
The Hidden Liquidity Flow also indicates when there is an abnormal amount of liquidity flowing through the market, this can indicate the potential for volatility and explosive price action.
🎯Usage Examples:
Now that we have gone through the components and features of Momentum Concepts™ in detail, we'll walk you through the usage examples and strategies that you can utilise to navigate the markets.
Scalping
Using the Scalper's Momentum and the Fast Oscillator as an example, users can first use the Scalper's Momentum as a directional bias and the Fast Oscillator as a means of timing a more precise entry. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals or the Scalper's Momentum flipping signals.
Buying the Dip/Shorting the Pump
Using the Momentum Impulse Oscillator and the Fast Oscillator as an example, users will need to first determine the underlying trend with the Momentum Impulse Oscillator , after which they can use the Fast Oscillator for entry signals into the trend. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals
Reversal Trading
Using the Momentum Impulse Oscillator on a timeframe roughly 3-4 times greater than the chart's timeframe and the Fast Oscillator as an example, users will need to first ensure that the Momentum Impulse Oscillator signals a ranging market on a higher timeframe, divergence signals from the Fast Oscillator can then be used as entries. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals or the Fast Oscillator reaching the zero line.
(These are just examples for reference, the Momentum Concepts™ offers significantly more possibilities for customisation and fine tuning of your trading strategy.)
🎯Conclusion:
In conclusion, Momentum Concepts™ stands as a versatile and powerful tool for traders seeking to decode the intricacies of market momentum across multiple time horizons. With its comprehensive suite of customizable features, including the Fast Oscillator , Scalper's Momentum , Momentum Impulse Oscillator , and Hidden Liquidity Flow , traders can gain deep insights into market dynamics and make well-informed trading decisions. Whether executing high-frequency scalping strategies or timing entries for longer-term positions, Momentum Concepts™ equips traders with the tools they need to navigate diverse market conditions with confidence. By harnessing the power of momentum analysis, this indicator empowers traders to stay ahead of the curve and capitalize on emerging opportunities in the ever-evolving financial markets.
IMGPro - V1.0IMG PRO uses nine sequential stages to analyse price action and alert users to potential Trade Setups using various Price Action Concepts as detailed below:
1. Identify Higher Timeframe Market Structure and Points of Interest (HTF-POIs)
2. Calculate position size based on your risk appetite, fees and account leverage and customisable maximum trade risk
3. Verify price is in a premium or discount
4. Determine Lower Timeframe Market Structure Break Type
5. Apply Early Warning Systems if enabled
6. Alert you to risk managed trade setups at enabled HTF-POIs
7. Alert you to unentered trade invalidations
8. Alert you to trade exits based on your set criteria
9. Provide Additional Alerts such as Higher Timeframe SFPs and Market Structure Breaks that act as potential early warnings that a trade setup may be forming
1. HTF POIs Available with IMG PRO:
a. HTF Market Structure Range Highs and Lows
b. HTF Order Blocks
c. HTF Order Blocks & FVG Overlaps
d. HTF Breakers
e. HTF Breakers & FVG Overlaps
f. HTF FVGs
g. Internal Liquidity Levels
These levels are used for Trade Signals based on user settings applied. Details provided in the trade setup section below
a. Higher Timeframe Market Structure Range High and Low through Multiple Timeframe Analysis:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle to close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
b. Higher Timeframe Order Blocks
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
c. HTF Order Blocks & HTF FVG Overlaps
When enabled, the IMG Pro will only display overlaps of Order Blocks and FVGs. These are strong points of interest to look for trade setups
Example of the indicator displaying a Higher Timeframe’s (HTF) OBs + FVGs on a Lower Timeframe (LTF) chart:
The upper chart labelled H12/H12 is the indicator displaying H12 Structure and OB+FVGs on a H12 chart.
The lower chart labelled H12/H1 is the indicator displaying H12 OB+FVGs on a H1 chart:
d. Higher Timeframe Breakers
A Breaker Block is identified as the most recent Order Block that has been breached by price, leading to an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, confirming a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
e. HTF Breakers & HTF FVG Overlaps
When enabled, the IMG Pro will only display overlaps of Breakers and FVGs. These are strong points of interest to look for trade setups
Example:
The upper chart labelled H12/H12 is the indicator displaying H12 Structure and Breakers+FVGs on a H12 chart
The lower chart labelled H12/H1 is the indicator displaying H12 Breakers+FVGs on a H1 chart
f. Higher Timeframe Fair Value Gaps (FVGs)
A Fair Value Gap is a concept used by price action traders to identify market inefficiencies, where buying and selling are not balanced. It appears on a chart as a triple-candle pattern, with a large candle flanked by two others whose highs and lows do not overlap with the large candle, creating a gap. This gap often attracts the price towards it before the market resumes its previous direction.
Example of the indicator displaying a Higher Timeframe’s FVGs on a Lower Timeframe (LTF) chart:
-The upper chart labelled H12/H12 is the indicator displaying H12 Structure and FVGs on a H12 chart.
-The lower chart labelled H12/H1 is the indicator displaying H12 FVGs on a H1 chart
g. HTF Internal Liquidity Levels (FVGs)
A HTF Liquidity Level is a Higher Timeframe three bar Pivot that forms inside an active range.
When enabled, the system will display all UNTESTED HTF pivots formed within an active range. Lines will stop extending once they are either tested or HTF Market Structure Breaks
Example: H12 Liquidity Levels on a H1 Chart:
2. Risk Management and Position Sizing:
a. Automated Position Sizing:
The System will automatically calculate position size based on the account size, max leverage and risk appetite (capital risk per trade) details input in settings. Calculated trade details are included in the Tradingview Alerts as well as interactive labels on the charts.
Details include but are not limited to:
Trade Timeframe
Side: Long/Short
Type: Limit/Market
Position Size in $ and Units
Lot sizes if applicable
Trade Risk %
Take Profit Level
Entry Price
Stoploss Price
b. Maximum Trade Risk:
IMG PRO has the ability to invalidate potential trade entries if it exceeds your maximum Trade Risk threshold. Trade Risk is the % price difference between entry and stoploss.
When an invalid signal is generated, the signal will not be shaded and the interactive label will display the reason for invalidation
In the example below, Max Trade Risk is set to 2% , but the trade signal had a trade risk of 5.11% invalidating the signal with a grey triangle
3. Verify Premium / Discount:
The system can be setup to only display signals that are in the top or bottom n% of the Market Structure Range
A value of 0 (default) will disable the premium/discount system and utilize the entire range for all signal types (bullish and bearish)
EXAMPLES:
A value of 50% will only display bullish signals that have, at minimum, tagged the bottom half of the range and vice versa for bearish signals.
A value of 25% will only display bullish signals that have tagged the bottom quarter of the range and vice versa.
A value of 38.2% will display signals that tag the top and bottom 38.2% of the range (equivalent of the 61.8% OTE. retracement) Etc.
4. Determine Lower Timeframe Market Structure Break Type
IMG Pro has two options for Lower Timeframe Structure Breaks:
Market Structure Breaks: When selected, the system will use the first opposite pivot (in the current chart timeframe) to the left of a confirmed SFP to calculate a break in market structure when price closes through it:
Market Structure Shifts: When selected, the system will use the first opposite pivot (in the current chart timeframe) to the left OR right of a confirmed SFP to calculate a break in market structure when price closes through it. MSS’ are more sensitive and may provide more false signals but are useful when there are big spike liquidity runs:
5. Apply Early Warning Systems if enabled:
The IMG Pro indicator has an early warning system that will generate a potential setup alert before a HTF SFP is confirmed
There are two types of early warnings:
LTF Structure Break Early Warning:
If enabled, the system will generate a potential setup alert if price cuts through a HTF level (Range Extreme / Internal Liquidity) and prints an opposite LTF MSB back through that level. This is a more aggressive approach where the system does not wait for the HTF SFP to be confirmed.
Example: In the screenshot below, the system did not wait for a H12 SFP to be confirmed, allowing it to signal an entry that would have otherwise been missed if the LTF Structure Break early warning system was not enabled
LTF FVG Early Warning:
If enabled, the system will generate a potential setup alert if price cuts through a HTF level (Range Extreme / Internal Liquidity) and prints an opposite LTF FVG back through that level. No LTF MSB is required and a limit order at the FVG is signalled. This is a more aggressive approach where the system does not wait for the HTF SFP to be confirmed.
Example: In the screenshot below, the system did not wait for a H12 SFP to be confirmed, signalling an entry as soon as an opposite LTF FVG is confirmed pushing price back through the HTF Liquidity Levels
6. Trade Setup Types Available with IMG PRO:
The system will alert you to potential trade setups at these HTF POIs: .
a. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
b. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
c. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at All Internal Liquidity Levels (With Trend and Counter Trend)
d. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at All Internal Liquidity Levels (With Trend ONLY)
e. Lower Timeframe (LTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
f. Multiple LTF Entry Options once a signal is confirmed
a. HTF Swing Failure followed by a LTF MSB at Range Extremes
A Swing Failure Pattern (SFP) is a technical analysis concept used in trading to identify potential reversals in price trends. It occurs when the price attempts to surpass a previous high or low but fails to sustain that level, indicating a possible change in market direction. There are multiple methods to define a SFP but this indicator uses the failure to close through a Key Level. When confirmed, HTF SFPs will be displayed on-screen and an alert will fire if enabled.
Example: EURUSD H12 Trade Setup Alerts at Range Extremes on a H1 Chart:
Alerts to Enter at Lower Timeframe MSBs
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at a Range Extreme followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are agnostic to current Market Structure bias and will generate at both extremes.
b. HTF Swing Failure followed by a LTF MSB at HTF POIs:
When enabled, a trade setup label and alert will generate when a HTF SFP is confirmed at an enabled Higher Timeframe POI (Order Blocks / Breakers / FVGs) followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are always in line current Market Structure bias.
Example: H12 SFPs and Trade Setups at HTF POIs with Fluid Exits on a H1 Chart:
c. HTF Swing Failure followed by a LTF MSB at All Internal Liquidity Levels ( With Trend and Counter Trend ):
When enabled, a trade setup label and alert will generate when a HTF SFP is confirmed at an Internal Liquidity Level followed by a LTF Market Structure Break (MSB) or Market Structure Shift(MSS). These signals are agnostic to HTF Market Structure bias and will alert to setups with and counter trend.
Example:
d. HTF Swing Failure followed by a LTF MSB at All Internal Liquidity Levels ( With Trend ONLY )
Same as (c), but will only signal trades that are in line with higher timeframe structure. I.e If HTF Structure is bullish, then only bullish trades will be signalled.
e. LTF Swing Failure followed by a LTF MSB at enabled HTF POIs
The system will alert you to a lower timeframe setup if these conditions are met inside enabled HTF POIs (OBs / Breakers / FVGs):
- LTF SFP
- LTF MSB
Example:
f. LTF Entry Options:
IMG PRO provides the following options for LTF Entries:
i. Limit Entry at MSB Level
ii. Limit Entry at Breaker
iii. Limit Entry at Raid Candle
iv. Limit Entry at OTE 70.5% Retracement
v. Market Entries (where applicable)
Trade entry alerts will detail limit entry prices based on the option selected here.
7. Unentered Trade Invalidations:
IMG Pro can invalidate unentered signals based on these custom criteria:
a. Opposite HTF SFP Before Entry
b. TP Hit Before Entry
c. Confirmed Opposite Signal Before Entry
If enabled and criteria met, the system will alert you to cancel any limit orders for the trade that is being invalidated.
8. Trade Exit Types Available with IMG PRO:
The system provides the following options for trade exit alerts:
a. Exit at Fixed R:R
b. Exit at a confirmed Opposite Signal (Fluid Exits)
c. Exit at enabled and untested HTF POIs
d. Exit on an opposite HTF SFP at a liquidity level
Example: H12 SFPs and Potential Trade Setups at Internal Liquidity Levels with Exit at closest untested HTF POI on a H1 Chart:
9. IMG PRO Alerts Overview
The system provides notifications of:
a. Confirmed HTF Market Structure Breaks
b. Confirmed HTF SFPs at Range Extremes
c. Confirmed HTF SFPs at HTF POIs
d. Confirmed HTF SFPs at Liquidity Levels
e. Potential Trade Setups at Range Extremes
f. Potential Trade Setups at HTF Points of Interest
g. Potential Trade Setups at HTF Liquidity Levels
h. LTF SFPs inside HTF POIs
i. Potential LTF Setups at HTF POIs
j. All Exit Types including Stoplosses
k. All Trade Invalidations
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions; manage your risk wisely.
Stay safe and Happy Trading!
Forex Master Pattern Screener 2Overview
The Forex Master Pattern Screener 2 is based on the Master Pattern, which includes contraction, expansion, and trend phases. This indicator is designed to identify and visualize market volatility, market phases, multi-timeframe contractions, liquidity points, and pivot calculations. It provides a clear image of the market's expansion and contraction phases. It's based on an alternative form of technical analysis that reveals the psychological patterns of financial markets through three phases.
Unlike the other master pattern indicators that just use highs and lows and aren't as accurate for finding contractions, this one uses actual measures of volatility to find extremely low levels of volatility and has customizable parameters depending on what you want to do.
What is the Forex Master Pattern?
The Forex Master Pattern is a framework that revolves around understanding market cycles, comprising the three main phases: contraction, expansion, and trend.
Contraction Phase: During this phase, the market has low volatility and is consolidating within a narrow range. Institutional volume tends to be low, and it's suggested to avoid trade entries during this period.
Expansion Phase: Volatility starts to increase, and there start to be bigger moves in price. Institutional traders start accumulating positions in this phase, and they might manipulate prices to draw in retail traders, creating liquidity for their own buying or selling goals.
Trend Phase: This final phase completes the market cycle. Institutional traders begin taking profits, leading to a reversal. This triggers panic among retail traders, resulting in liquidations and stops. This generates liquidity for institutional traders to profit, leaving retail traders with overvalued positions.
Value Line:
The "value line" acts as the fair value zone or the neutral belief zone where buyers and sellers agree on fair value. It can be likened to the center of gravity and is created during contraction zones.
Applications:
Identifying these phases and understanding the value lines can help traders determine the market's general direction and make better trading decisions.
This isn't a strategy but a concept explaining market behavior, allowing traders to develop various strategies based on these principles
The contractions, which are based on volatility calculations, can help you find out when big moves will occur, known as expansions.
How traders can use this indicator
1. Identifying Market Phases:
Contraction Phase: Look for periods where the market has low volatility and is contracting, indicated by a narrow range and highlighted by the contraction box. During this phase, traders prepare for a breakout but usually avoid making new trades until a clearer trend emerges.
Expansion Phase: When the indicator signals an expansion, it suggests that the market is moving out of consolidation and may be beginning a new trend. Traders might look for entry points here, anticipating a continuation of the trend.
Trend Phase: As the market enters this phase, traders look for signs of sustained movement in one direction and consider positions that benefit from this trend.
2. Multi-Timeframe Analysis:
By looking at multiple timeframes, traders can get a broader view of the market. For instance, a contraction phase in a shorter timeframe within an expansion phase in a longer timeframe might suggest a pullback in an overall uptrend. This indicator comes with a MTF contraction screener that is customizable.
2. Fair Value Lines:
The fair value acts like a "center of gravity.". Traders could use this as a reference point for understanding market sentiment and potential reversal points. This indicator shows these values in the middle of the contraction boxes.
3. Volatility Analysis:
This indicator's volatility settings can help traders understand the market's current volatility state. High volatility indicates a more active market with larger, faster moves, while low volatility might suggest caution and tighter stop-losses or take-profits. If volatility is contracting, then an expansion is imminent. This indicator shows the volatility with percentile ranks in 0-100 values and also alerts you when volatility is contracting, aka the contraction phase.
Volatility Calculations:
This indicator uses a geometric standard deviation to measure volatility based on historical price data. This metric quantifies the variability of price changes over a specified lookback period and then computes a percentile rank within a defined sample period. This percentile calculation helps evaluate the current volatility compared to historical levels.
Based on the percentile rank, the indicator sets thresholds to determine whether the current volatility is within a range considered "contraction" or not. For example, if there are really low levels of volatility on the percentile rank, then there is currently a contraction phase. The indicator also compares the volatility value against a moving average, where values above the current moving average value signal the expansion phase.
Multi-Timeframe Analysis (MTF):
This indicator comes with a multi-timeframe table that shows contractions for 5 different timeframes, and the table is customizable.
Bands:
This indicator comes with bands that are constructed based on the statistical calculations of the standard deviation applied to the log-transformed closing prices. It is commonly assumed that the distribution of prices fits some type of right-skewed distribution. To remove most of the skewness, you can use a log transformation , which makes the distribution more symmetrical and easier to analyze, thus the use of these bands . These bands are in the 2 standard deviation range. You can use these bands to trade at extreme levels. The band parameter is based on the contraction volatility lookback, which is in the Volatility Model Settings tab.
Ways the bands could be used with the contractions:
1. Identifying Breakout trades:
Contraction Zones: These zones indicate periods of low volatility where the market is consolidating. There are usually narrow price ranges, which are considered a build-up phase before a significant price move in any direction.
Bands: When the contraction zone occurs, you might notice the bands tightening around the price on smaller lookback periods, reflecting the decreased volatility. A continuous widening of the bands could then signal the beginning of an expansion phase, indicating a potential breakout opportunity.
2. Enhancing Trade Timing:
Before the Breakout: During the contraction phase, the bands might move closer together, reflecting the lower volatility. You can monitor this phase closely and prepare for a potential expansion. The bands can provide additional confirmation; for instance, a price move toward one of the bands might show an extreme occurrence and might show what the direction of the breakout could be.
After the breakout: Once the price breaks out of the contraction zone and goes to the expansion phase, and if it coincides with the bands widening significantly, it could reinforce the strength and potential sustainability of the new trend, providing a clearer entry.
3. Price-touching bands during a contraction:
If the price repeatedly touches one of the bands during a contraction phase, it might suggest a buildup of pressure in that direction. For example, if the price is consistently touching the upper band even though the bands are narrow, it might suggest bullish pressure that could occur once the expansion phase begin.
4. Price at the band extreme levels during Expansion:
If the price is at the extreme levels of the bands once the expansion phase occurs, it might indicate unsustainable levels and a low probability of the price continuing beyond those levels. Potentially signaling that a reversal will occur. Some trades could use these extremes to place entries during the expansion phases.
Liquidity Levels:
This script comes with liquidity points, whose functionality goes towards identifying pivotal levels in price action, focusing on swing highs and swing lows in the market. These points represent areas where significant buying (for swing lows) or selling (for swing highs) activity has occurred, implying potential levels or resistance in the price movement.
These liquidity points, often identified as highs and lows, are points where market participants have shown interest in the past. These levels can act as psychological indications where traders might place orders, leading to increased trading activity when these levels are approached or breached. When used with the Forex Master Pattern phases, liquidity levels can enhance trades placed with this indicator. For instance, if the market is expanding and approaches a significant liquidity level, there might be a higher chance of a breakout or reversal, showing a possible entry or exit point.
Liquidity Levels in the Contraction Phase:
Accumulation and Distribution: During the contraction phase, liquidity levels can indicate where huge positions are likely accumulating or distributing quietly. If price is near a known liquidity level and in a contraction phase, it might suggest that a large market player is building a position in anticipation of the next move.
Breakout Points: Liquidity levels can also give clues about where price could go after the breakout from the contraction phase. A break above a liquidity level might indicate a strong move to come as the market overcomes significant selling pressure.
Liquidity Levels in Expansion Phase:
Direct Confirmation: As the expansion phase begins, breaking through liquidity levels can confirm the new trend's direction. If the price moves past these levels with huge volume, it might indicate that the market has enough momentum to continue the trend.
Target Areas: Liquidity levels can act as target areas during the expansion phase. Traders using this indicator could look to take profits if the price approaches these levels, possibly expecting a reaction from the market.
Diddly - Real Volume TrendDiddly Real Volume Trend is an indicator to help traders identify the real trending direction of an asset, it achieves this by using liquidity to assess the overall buying and selling volume sentiment of a market place.
What is Liquidity
Liquidity refers to the ability of an asset to be turned into cash. Cash is the more liquid form of any asset, whereas selling a house would take a little longer to liquidate and convert to cash. Liquidity in financial markets is in essence based on the same principle and refers to how easily an asset can be bought and sold.
Liquidity in simple terms is the volume of participants who are willing to be involved in the market at any given time. Markets are based on auction theory, the more participants who want to buy at a certain price than sell, will dictate that the price goes up. As a result it is important to understand the role that volume has in financial markets, as volume will directly correlate to liquidity and supply and demand.
What does it mean?
Although markets are based on auction theory, sadly we don't have the advantage of a traditional auction, where we are all sitting in a room putting our hands in the air when we are interested in paying x price for a particular item. In this environment it is very clear to see how popular the item for sale is and whether it is possible to pick up a bargain.
Being able to identify the prevailing direction of buying versus selling volume on a chart provides an insight into market sentiment. Also we have to consider that typically most retail traders participate in very liquid markets, where you can get in and out of a position with relative ease.
There are obviously exceptions, extremely low float stocks, but on the whole with liquid assets it takes some big orders to move price, especially with currencies and high float stocks. Understanding these principles helps us as retail traders identify where the big money is seeing a bargain, if buying or overpriced if selling.
However you identify liquidity, I hope you agree that it is an extremely important element to be considering before taking a trade. The last thing any trader wants to be doing if they can avoid it, is getting on the wrong side of the market.
Just as a side note, high and low "Float Stocks" refers to the number of shares in general circulation for buying and selling.
What is "Diddly Real Volume Trend"
This volume trend indicator in simple terms will display the combined accumulated bullish and bearish volume within a window below the main chart. What you will see is a line chart that will be doing one of three things. Either it could be stair stepping in an upwards direction, identifying that we are in a bullish trend or stepping down in a bearish trend. Alternatively it could just be going sideways, which would suggest a ranging market.
This enables traders to make an assessment of the market sentiment using the liquidity direction that it has identified. This can help form an overall daily bias for intra-day traders or help confirm a longer term trend for swing traders.
Although this indicator is not a true oscillator (where the limits of number are fixed between a known upper and lower limit) , it can still be extremely useful in identifying divergence in price and the volume sentiment. As well as assisting in the process of identifying and confirming peak formations and potential reversal points in a market.
How does it Work
The indicator is plotting the volume trend line based on the output of a set of volume calculations, which is confirmed on the close of each candle. The resultant output is either a positive (Bullish sentiment) or negative (Bearish Sentiment), which are all totalled up to show the next point on the graph. As a result the visual effect seen from this process is that the more bullish calculated volume identified than bearish, you will see a rising trend line and the reverse for a bearish market.
The algo calculation which is used on each candle and its related volume is using the following elements.
Volume
Rate of Change
Relative Strength
The indicator is not just looking at the volume total and saying this is a green candle and must provide a positive number. It is looking for the volume and liquidity extremes and filtering out the nothingness of a market that makes no difference to price either way. It is from using these extremes that the indicator is able to plot the activities and direction of the big money in the market.
What is the Indicator Showing me?
Examples:
Here on a stock VKTX, on a 1 minute chart the elements that make up the indicator are annotated on the chart.
There are 6 components highlighted in the above chart, these have been listed below.
Volume Trend Line
This is the indicator driving line and is the result of the calculations described in the previous section.
Fast Moving Average
This is the fast moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Exponential Moving Average, Length: 60)
Slow Moving Average
This is a slower moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Hull Moving Average, Length: 3500)
Long Term Moving Average
This is a long term moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Exponential Moving Average, Length: 400)
Bullish Confirmation
On the "Volume Trend Line", you will see coloured circles dotted along the line, the green circles signifying Bullish Confirmation.
Bearish Confirmation
On the "Volume Trend Line", you will see coloured circles dotted along the line, the red circles signifying Bearish Confirmation.
The Bullish and Bearish confirmation signals are not signals to take trades, they are there to highlight the predominant direction. Seeing one confirmation signal in isolation is not that helpful, but continued prints of confirmation in a single direction would be interesting.
There are a further two signal types that are displayed on the volume trend line, these should be seen infrequently across charts and represent potential extremes of price movement in a single direction. These signals act as a warning that price could stall in this area or potentially make a reversal. As with the other signals within this indicator they are not signals to buy or sell, they are there to provide warning alerts and should be considered with other pieces of information that you are working with.
Bullish Extreme
Plotted on the "Volume Trend Line", you will occasionally see a green coloured downwardly pointing triangle, this represents a Bullish Extreme.
GBPAUD Hourly chart October 2022
Bearish Extreme
Plotted on the "Volume Trend Line", you will occasionally see a red coloured upward pointing triangle, this represents a Bearish Extreme.
GBPAUD Daily chart (February - April) 2023
How Does It Help?
This indicator will compliment any existing strategy and is not intended to be used standalone.
It can be used on any chart from a monthly, one minute to one second, depending on your trading strategy. Using multiple time frame analysis can help traders with a number of decisions that need to be considered before taking entries.
What is my market direction bias?
This can be taken from an hourly for intraday trader or daily for swing traders. What that time frame is depends on your trading plan and objectives from the trades you take.
When do I take my trades?
Again depending on the trading strategy used will dictate many aspect of this decision, although using the volume trend on a lower time frame, can help confirm breakouts, reversals and divergence.
How should I manage my trade?
With any trade you should have a defined risk reward clearly defined, with stops and targets in mind before taking an entry.
The age old saying of "cut your losses quickly and let your winner run", is easier said than mastered. Once in a trade the volume trend can be really helpful to identify trades that could be real runners and allows you to change expectations after entering the trade. Maybe you want to take some profit at the original point and let the remaining run. Maybe there is such strength you want to add to the position. Being able to assess market sentiment once in a trade can help with optimising returns.
The "Volume Trend Line", which is the driving element of this indicator, will be doing one of three things. Either it could be stair stepping in an upwards direction, identifying that we are in a bullish trend, stepping down in a bearish trend or going sideways in a ranging market.
Bullish Volume Trending Market
Here is stock VKTX, on a 1 minute chart. Trend confirmation on price action is determined by Higher Highs and Higher Lows for an uptrend or Lower Lows and Lower Highs on a downtrend. The same principle applies for the volume trend line.
In this example we first see breakout volume on the indicator with the Bullish Break volume, following that the volume trend keeps making higher highs and higher lows, confirming that this asset has short-term upwards potential. (why short-term? this is the 1 minute chart, you would want to consult the daily or hourly for a longer term perspective).
Price also is making higher highs and higher lows, which is in alignment with the indicator and known as "convergence" and is a positive signal for a continued trend.
Bearish Market
So here on Tesla (TSLA) on the 4 hour chart we can see the big sell off that started in April 2022. Where it clearly shows a downward trend, with lots of confirmation for continuation.
Ranging Markets
On this example on the AUDJPY 1 Hour chart, we can see that price is in a ranging market. By drawing trend lines on price and the indicator, it is clear to see that price and the volume trend line are both showing a ranging market. What is more interesting is the structure of the ranges.
The price range at the top of the chart is in an upward direction, whereas the volume trend in the bottom window is showing a downward range. Giving us an early indication of what to expect from this asset.
Diverging Markets
"Divergence" is a very powerful mechanism for identifying potential reversal points in price actions. There is a wealth of published information on this topic which is well worth reviewing, if this is a new principle to you.
Here again on the same AUDJPY 1 Hour chart example, points of interest have been annotated on the chart where the historical range turns into a step down to the next level within the market cycle, as predicted by the divergence in range patterns, price point up and volume pointing down.
In the above example, after identifying the divergence the next most important element is an extremely fast accelerated move down which breaks the lower level of the range, this can be seen on the right side of the bottom window and is labelled "Bearish Breaking Volume".
What is interesting here is that the volume indicator has identified the range breakout when price was still above the lower level of the range. Following that break out volume signal, if we zoom out to a 4 hour chart to see what happened next.
The range breakout was confirmed and price and the volume trend continues to show a downward direction in the market. As for entries and stops that is not the intention of this indicator and will be down to other elements in your trading strategy or in our case other indicators.
Peak Formations
Peak formation refers to the point where an asset is over extended in one direction and there is a potential of change in direction, with a wider pullback or a reversal in the higher time frame trend. These formations are often seen with double bottoms (W patterns) or double tops (M patterns) . Unfortunately these patterns appear all over the chart and trading them in isolation will be challenging.
In this example of EURJPY on the 1 hour chart, we see price and the indicator in the bottom window for the first 3 weeks in March 2022. The pair is trending down which is confirmed by both price and the indicator. There are no signals points plotted on the volume trend line, until one appears on March 4th 2022.
Another one appeared on the next trading day of Monday the 7th and we now have these two signals relatively close to each other. This is interesting information, especially considering that there was no extreme signals for the previous couple of months.
Later that day the volume trend broke the previous volume level, after a W pattern was completed and a green bullish confirmation signal was printed. The following day another bullish confirmation signal is displayed to further confirm that we had made a peak formation reversal.
Please note that using the settings style tab, has enabled the change to the bearish extremes signal, changing the colour and shape to be an orange circle. Which for the purposes of this illustration is easier to see.
Another example of the same pair in August 2022, with a very similar confirmation sequence.
Stock Examples
Here on UBER on a 1 hour chart , is an example of how the indicator can be used in confluence with other trading strategies. If a trader was trading candle patterns, they may see this classic 1 hour bull flag pattern forming.
Without the volume trend analysis this looks like a good buy setup. Adding this analysis to the chart we clearly have a different view point.
Here is what subsequently happened to price and this is in a generally bullish market March 2023.
Scalping Entries
For those traders who work with super fast time frames like the 5 second or even on a 1 second charts, the volume indicator can be used to help time entries as a part of a wider trading strategy of trading a pullback or trading support and resistance levels.
Styling options in the indicator settings enabled this different view of the indicator output, which can be extremely useful for timing entries.
Here on this hot IPO stock, LUNR from February 16th 2023, we have an extremely strong move up from $13.80 to $18.00. One aspect of this move up, is that it is doing this on extremely light volume and the predominant market sentiment on the surface seems very bearish.
This would be a clear indication not to trade this stock at this moment in time, as a trader there would be lots of emotions of FOMO (fear of missing out) , seeing a stock making that kind off move on a new IPO - there is the sense that this stock will go to the moon and your not going to be involved.
As traders we have to consider the risk : reward potential. This stock could drop to $10.00 if someone put in a 50 k market sell order, as it is clear there are not the buyers to support that kind of liquidation.
The following charts are in the 5 second time frame, until otherwise stated
So we need to wait for some confirmation of buying liquidity before we can make any plans for taking an entry, which we get in the form of a couple of strong bullish candles on the chart below. Interestingly the price breaks the previous all time high for this stock, although the volume trend at this stage does not seem strong enough to consider an entry.
At this point we should be on the lookout for further buying liquidity, ideally to break the previous high volume line, which appears in the next chart. This would be the time to take an entry based on other aspects of a trading plan.
Having now taken an entry, we can use the indicator to understand the strength of the buying liquidity and identify areas where we should be looking to take profit or close out the trade. Looking at the volume trend profile shown in the chart below, there is no reason not to hold this stock for a wider move up.
In the next chart we see the first signs of some selling pressure, as the indicator shows signs of red. This would be the area to take some profit and look at a higher time frame perspective, to get the sense of whether to hold the remaining position.
Here on the 5 minute time frame the volume trend is still looking very strong to hold the remaining position. As it turned out it was a good place to take profit as it was just under the high of the day.
Knowing when an asset is going to reverse is not easy and this stock was way too over extended and a top had to finally come. This one minute view of the indicator, shows the point where you would see that the upward liquidity was over and you were now on the backside of the move, with no reason to trade further.
Here on a 15 minute chart you can see the full extent of the move and its reversal back to the original price. It provides a clear illustration that chasing trades through FOMO or holding and hoping is not a profitable approach. Being able to time your entries and exits, where you can clearly manage risk is one of the most important elements to any traders strategy.
This is an extreme example and not something you see every day in any market. It has been included within this narrative with the hope that it clearly illustrates the risk involved in trading and being able to mitigate them, has to be at the forefront of your mind.
Key Settings
Within the indicator settings there are a number of options that are available to users. All aspects of what you can see can either be changed or turned on or off in the "Style" tab as well as changing the colours and their transparency.
The available settings on the "Inputs" tab are for fine tuning the indicator to your style of trading. This fine tuning can be applied to the moving averages that can be displayed and follow the volume trend line as well as the volume filtering process.
The most important ones that are in need of explanation are outline below:
General Settings
"What type of asset is the Algo looking at" : Available Options = "Small Caps", "Large Caps", "Futures", "Currencies" (Default Setting = Currencies)
The indicator will make an assessment of the best settings to use as defaults for the volume filtering, confirmation and extremes signals. The defaults can be changed in the following sections using the override.
"Turn on Turbo Mode" : True or False (Default Settings = True)
This setting will give the indicator volume filtering processes a boost
Signal Settings
Based on the "Asset Type" from the general settings, the indicator will make an assessment of the best settings to use by default. These can be changed by using the settings below.
"Override Default Assessment Thresholds" = True / False
"Percentage Difference to Signify Trend Confirmation" = A percentage value that will tell the indicator how to identify the volume trend line swing points used to identify bullish or bearish confirmation signals. Values from 0.1 to 10 would make the most sense. A too high setting and you will not see any confirmation points plotted. Too low and you may see too many to be useful.
"Percentage Difference to Signify Extremes" = A percentage value that will tell the indicator how to identify the volume trend line swing points used to identify bullish or bearish confirmation signals. Values from 20 to 200 would make the most sense. A low a setting and you will see too many extreme points plotted.
Filter Settings
"Turn On Volume Assessment Filters" = True / False : The volume assessment filters are used to focus the "volume trend line" on higher volume extremes.
Based on the "Asset Type" from the general settings, the indicator will make an assessment of the best settings to use by default. These can be changed by using the settings below.
"Override Default Assessment Filters" = True / False
"Filter Volume using Setting" = The number used in this setting represents a value from 0 to 100. Zero will filter out no volume, whereas 100 would filter it all out. The default setting is 1, as there is a danger of setting this number too high and all you will see in the line chart is big steps up and down, with a plateaus in the middle. Which may be useful, although it would not be so helpful in divergence or volume line breaks.
Fast Moving Average
This is the fast moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "EMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
Moving Average Key
SMA : Simple Moving Average
EMA : Exponential Moving Average
HMA : Hull Moving Average
SMMA (RMA) : Exponentially Weighted Moving Average (alpha = 1 / length.)
WMA : Weighted Moving Average
VWMA : Volume Weighted Moving Average
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 60
"Apply Double Smoothing" = True or False : This is an option to turn on if an extra smoothing effect to the moving average if required.
Slow Moving Average
This is the slow moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "HMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
(See moving average key)
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 3500
(By default we have a higher number for the slow length compared to the long term length in the next setting. This is because using the Hull Moving Average, is an accelerated moving average that needs higher values to slow it down. If you were to change this to say an EMA, then you would need to change the length to something like 200, to put this slower moving average in context with the others).
Long Term Moving Average
This is a long term moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "EMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
(See moving average key)
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 400
"Apply Double Smoothing" = True or False : This is an option to turn on if an extra smoothing effect to the moving average if required.
Finally
We greatly appreciate the support and feedback from the Trading View community, and we are dedicated to continuing to improve our indicators with your support.
We want to help you manage risk, and that's why we emphasise that trading is risky and any technology used to support our trading decisions is based on information from the past. We encourage traders to take responsibility for their trading businesses and always prioritise risk management.
Total Turnover Moving Average (TTMA)This is a special type of moving average that incorporates financial information into technical indicators.
CONCEPT:
Number of shares outstanding (NOSH) reflects the floating tickets available for trading in the market. This indicator aims to look at what price has the market transacted on average, given all the NOSH has been turned over.
In order to do this, the number of periods required for trading volume to add up to NOSH is determined. Then, a simple moving average of closing price is calculated based on the number of periods.
Put simply, TTMA is a variable MA indicator, which the parameter depends on trading volume and NOSH. Since every counter has varying NOSH, it also translates volume into liquidity. Given two counters of the same volume , the one with lower NOSH has higher liquidity.
USAGE:
Bullish: when prices are above TTMA
Bearish: when prices are below TTMA
CAVEAT:
Generally works well for mid-cap to large-cap stocks, but not volatile penny counters (just like how you will not use 2-day moving average!). Good as reference and should NOT be used standalone.
Super Arma Institucional PRO v6.3Super Arma Institucional PRO v6.3
Description
Super Arma Institucional PRO v6.3 is a multifunctional indicator designed for traders looking for a clear and objective analysis of the market, focusing on trends, key price levels and high liquidity zones. It combines three essential elements: moving averages (EMA 20, SMA 50, EMA 200), dynamic support and resistance, and volume-based liquidity zones. This integration offers an institutional view of the market, ideal for identifying strategic entry and exit points.
How it Works
Moving Averages:
EMA 20 (orange): Sensitive to short-term movements, ideal for capturing fast trends.
SMA 50 (blue): Represents the medium-term trend, smoothing out fluctuations.
EMA 200 (red): Indicates the long-term trend, used as a reference for the general market bias.
Support and Resistance: Calculated based on the highest and lowest prices over a defined period (default: 20 bars). These dynamic levels help identify zones where the price may encounter barriers or supports.
Liquidity Zones: Purple rectangles are drawn in areas of significantly above-average volume, indicating regions where large market participants (institutional) may be active. These zones are useful for anticipating price movements or order absorption.
Purpose
The indicator was developed to provide a clean and institutional view of the market, combining classic tools (moving averages and support/resistance) with modern liquidity analysis. It is ideal for traders operating swing trading or position trading strategies, allowing to identify:
Short, medium and long-term trends.
Key support and resistance levels to plan entries and exits.
High liquidity zones where institutional orders can influence the price.
Settings
Show EMA 20 (true): Enables/disables the 20-period EMA.
Show SMA 50 (true): Enables/disables the 50-period SMA.
Show EMA 200 (true): Enables/disables the 200-period EMA.
Support/Resistance Period (20): Sets the period for calculating support and resistance levels.
Liquidity Sensitivity (20): Period for calculating the average volume.
Minimum Liquidity Factor (1.5): Multiplier of the average volume to identify high liquidity zones.
How to Use
Moving Averages:
Crossovers between the EMA 20 and SMA 50 may indicate short/medium-term trend changes.
The EMA 200 serves as a reference for the long-term bias (above = bullish, below = bearish).
Support and Resistance: Use the red (resistance) and green (support) lines to identify reversal or consolidation zones.
Liquidity Zones: The purple rectangles highlight areas of high volume, where the price may react (reversal or breakout). Consider these zones to place orders or manage risks.
Adjust the parameters according to the asset and timeframe to optimize the analysis.
Notes
The chart should be configured only with this indicator to ensure clarity.
Use on timeframes such as 1 hour, 4 hours or daily for better visualization of liquidity zones and support/resistance levels.
Avoid adding other indicators to the chart to keep the script output easily identifiable.
The indicator is designed to be clean, without explicit buy/sell signals, following an institutional approach.
This indicator is perfect for traders who want a visually clear and powerful tool to trade based on trends, key levels and institutional behavior.
MBODDS GLOBAL - Enhanceden
MBODDS GLOBAL Indicator – Detailed Interpretation
What does the indicator measure?
Liquidity preferences
Credit risk perception
Market stress levels
Interpreting the ODDS Value
ODDS Value Explanation
Positive ODDS (> 0) SOFR is higher than the T-Bill rate → Interbank liquidity is more expensive → Possible financial stress.
Negative ODDS (< 0) T-Bill rates are higher than SOFR → The government pays more interest in the short term → Liquidity abundance, normal market conditions.
ODDS ≈ 0 Neutral market state → Low stress, market is stable.
Z-Score Interpretation (Extremity Analysis)
The Z-Score measures the standard deviation of ODDS, detecting extreme values:
Z-Score Meaning
> +1.0 Spread is unusually high → Stress/crisis risk increases.
< -1.0 Spread is unusually low → Liquidity could be abundant.
> +2.0 Extremely high spread → Systemic risk (observed during 2008-2020 periods).
≈ 0 Average level → Normal conditions, no notable risk.
The Z-Score functions as an "anomaly detector" for this indicator.
SMA (Simple Moving Average) Interpretation
The 21-day SMA shows the trend of ODDS:
ODDS consistently above SMA: Rising stress and credit costs.
ODDS consistently below SMA: Easier liquidity and lower market concerns.
Threshold Bands (±0.5)
These thresholds are visual guides for alerts:
ODDS > +0.5: Rising stress, potential liquidity tightening → Risky environment.
ODDS < -0.5: Low spread → Abundant liquidity, low stress → Comfortable environment.
Use Cases
Macro analysis (especially after Fed policy changes)
Direction determination in bond, equity, or credit markets
Early signal for stressful periods
Predicting liquidity crises
Conclusion:
This indicator acts as a macro-based "silent alarm." Specifically:
SOFR > T-Bill and Z-Score > 1: Stress and risk are increasing, protection strategies should be considered.
T-Bill > SOFR and Z-Score < -1: Liquidity is abundant, risk appetite may rise.
Flow State Model [TakingProphets]🧠 Indicator Purpose:
The "Flow State Model" by Taking Prophets is a precision-built trading framework based on the Inner Circle Trader (ICT) methodology. This script implements and automates the Flow State Model, a highly effective multi-timeframe trading system created and popularized by ITS Johnny.
It is designed to help traders systematically align higher timeframe liquidity draws with lower timeframe confirmation patterns, offering a clear roadmap for catching institutional moves with high confidence.
🌟 What Makes This Indicator Unique:
This is not a simple liquidity indicator or a basic FVG plotter. The Flow State Model executes a full multi-step process:
Higher Timeframe PD Array Detection: Automatically identifies and displays Fair Value Gaps (FVGs) from Daily, Weekly, and Monthly timeframes.
Liquidity Sweep Monitoring: Tracks swing highs and lows to detect Buyside or Sellside Liquidity sweeps into the HTF PD Arrays.
CISD Detection: Waits for a Change in State of Delivery (CISD) by monitoring bullish or bearish displacement after a sweep.
Full Trade Checklist: Visual checklist ensures all critical conditions are met before signaling a completed Flow State setup.
Sensitivity Control: Adapt detection strictness (High, Medium, Low) based on market volatility.
⚙️ How the Indicator Works (Detailed):
Fair Value Gap Mapping:
The indicator constantly scans higher timeframes (4H, Daily, Weekly) for valid bullish or bearish Fair Value Gaps that are large enough (based on ATR multiples) and not weekend gaps.
These FVGs are displayed on the current timeframe with full extension logic and mitigation handling (clearing when invalidated).
Liquidity Sweep Detection:
Swing highs and lows are identified using pivot logic (3-bar pivots). When price sweeps beyond a recent liquidity point into an active FVG, it flags the potential for a Flow State setup.
Change in State of Delivery (CISD) Confirmation:
After a sweep, the script monitors price action for a sequence of bullish or bearish candles followed by displacement (break in delivery).
Only after displacement closes beyond the initiating sequence does a CISD level plot, confirming the market's new delivery state.
Execution Checklist:
An optional table tracks whether critical components are present:
Higher Timeframe PD Array.
Aligned Timeframe Bias.
Liquidity Sweep into FVG.
SMT Divergence (optional manual confirmation).
CISD Confirmation.
Dynamic Management:
Active gaps are extended automatically.
Cleared gaps and mitigated CISDs are deleted to keep charts clean.
Distance-to-FVG prioritization keeps only the nearest active setups visible.
🎯 How to Use It:
Step 1: Identify the bias by locating active higher timeframe FVGs.
Step 2: Wait for a Liquidity Sweep into a PD Array (active FVG).
Step 3: Watch for a CISD event (the Flow State confirmation).
Step 4: Once all conditions are checked off, execute trades based on retracements to CISD levels or continuation after displacement.
Best Timing:
During ICT Killzones: London Open, New York AM.
After daily or weekly liquidity events.
🔎 Underlying Concepts:
Liquidity Theory: Markets seek to engineer liquidity for real institutional entries.
Fair Value Gaps: Imbalances where price is expected to react or rebalance.
Change in State of Delivery (CISD): Confirmation that the market's delivery mechanism has shifted, validating bias continuation.
Flow State Principle: Seamlessly aligning higher timeframe liquidity draws with lower timeframe confirmation to maximize trade probability.
🎨 Customization Options:
Adjust sensitivity (High / Medium / Low) for volatile or calm conditions.
Customize FVG visibility, CISD display, labels, line colors, and sizing.
Set checklist visibility and manual tracking of SMT or aligned bias.
✅ Recommended for:
Traders studying Inner Circle Trader (ICT) models.
Intraday scalpers and swing traders seeking confluence-driven setups.
Traders looking for a structured, checklist-based execution process.
ICT Turtle Soup Ultimate V2📜 ICT Turtle Soup Ultimate V2 — Advanced Liquidity Reversal System
Overview:
The ICT Turtle Soup Ultimate V2 is a next-generation liquidity reversal indicator built on the principles of smart money concepts (SMC) and the classic ICT Turtle Soup setup. It is designed to detect false breakouts (liquidity grabs) at key swing points, enhanced by proprietary logic that filters out low-quality signals using a combination of trend context, kill zone timing, candle wick behavior, and multi-timeframe imbalance zones.
This tool is ideal for intraday traders seeking high-probability entry signals near liquidity pools and imbalance zones — where smart money makes its move.
🔍 What This Script Does
🧠 Liquidity Grab Detection (Turtle Soup Core Logic)
The script scans for recent swing highs/lows using a user-defined lookback.
A signal is generated when price breaks above/below a previous swing level but closes back inside — indicating a liquidity run and likely reversal.
A special Wick Trap Mode enhances this logic by detecting long-wick fakeouts — where the wick grabs stops but the candle body closes opposite the breakout direction.
📉 Trend Filter with ATR Buffer
Optional trend filter uses a simple moving average (SMA) to gauge market direction.
Instead of hard filtering, it applies an ATR-based buffer to allow for entries near the trend line, reducing signal suppression from micro-fluctuations.
🕰️ Kill Zone Session Filtering
Only show signals during institutional trading hours:
London Session
New York AM
Or any custom user-defined session
Helps traders avoid low-volume hours and focus on where stop hunts and price expansions typically occur.
🧱 Multi-Timeframe FVG Confluence (Optional)
Signal validation is strengthened by checking if price is within a higher timeframe Fair Value Gap — commonly used to identify imbalances or inefficiencies.
Filters out setups that lack underlying displacement or order flow justification.
🎨 Visual Feedback
Plots 🔺 bullish and 🔻 bearish markers at signal candles.
Optionally displays:
Swing High/Low Labels (SH / SL)
Reversal distance labels
Background color shading on valid signals
Includes built-in alerts for automated trade notification.
🔑 Unique Benefits
Wick Trap Detection: A proprietary approach to detecting stop hunts via wick behavior, not just candle closes.
ATR-based trend filtering: Avoids unnecessary filtering while still maintaining directional bias.
All-in-one system: No need to stack multiple indicators — swing detection, reversal logic, session filtering, and imbalance confirmation are all integrated.
💡 How to Use
Enable Wick Trap Mode to detect stealthy liquidity grabs with strong wicks.
Use Kill Zone filters to trade only when institutions are active.
Optionally enable FVG confluence to improve confidence in reversal zones.
Watch for Bullish signals near SL levels and Bearish signals near SH levels.
Combine with your own execution strategy or other SMC tools for optimal results.
🔗 Best Used With:
Maximize your edge by combining this script with complementary SMC-based tools:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Highs and Lows with horizontal line projections
SuperTrend Momentum OscillatorOverview
The SuperTrend Momentum Oscillator (SMO) is a powerful technical analysis tool designed to identify trend direction and strength in financial markets. It combines short-term and long-term oscillator calculations to provide traders with a comprehensive view of market conditions through an intuitive candle-based visualization system.
Key Features
Dual-period oscillator system (short-term and long-term)
Candle-based visualization showing trend direction and alignment
Color-coded trend direction based on the main (slower) trend line
Candle size reflecting alignment between fast and slow components
High-confidence "Super" signals (green diamonds for buys, purple diamonds for sells)
Market liquidity insights through oscillator readings
Understanding the Candle Visualization
Main Trend vs. Fast Money
The SMO uses two key components that work together:
Main Trend Line (Slower): The longer-period oscillator that acts as the primary trend indicator
Dictates the overall color of the candles (green for uptrend, red for downtrend)
Represents the dominant market direction
Fast Line (Quicker): The shorter-period oscillator that reacts more quickly to price changes
Helps determine the size of candles through its alignment with the main trend
Represents "fast money" or shorter-term price reactions
Candle Components and Their Meaning
1. Candle Color
The color of each candle is determined by the direction of the main trend line:
Green Candles: Main trend line is rising (bullish)
Indicates an overall uptrend regardless of short-term fluctuations
Remains green even when the fast line temporarily moves against the trend
Red Candles: Main trend line is falling (bearish)
Indicates an overall downtrend regardless of short-term fluctuations
Remains red even when the fast line temporarily moves against the trend
2. Candle Body Size
The body size of each candle represents the alignment between fast and main trend lines:
Large Bodies: Both fast and main trend lines are moving in the same direction
Trading Action: Strong confirmation of the trend direction
Confidence Level: High confidence signals
Small Bodies: Fast line is moving against the main trend line
Trading Action: Exercise caution; potential for temporary pullback or consolidation
Confidence Level: Lower confidence in immediate continuation
3. Wick Length
Wicks (shadows) provide additional information about price rejection and volatility:
Long Wicks: Indicate price rejection and potential volatility
Trading Action: Be cautious of trend continuation when long wicks appear
Confidence Level: Reduced confidence in immediate trend continuation
Short Wicks: Indicate strong directional control with minimal rejection
Trading Action: More confidence in trend continuation
Confidence Level: Higher confidence in the current trend direction
Candle Patterns Over Time
The progression of candles provides valuable trend information:
Large Green Candles: Main trend is up and fast line confirms (strong bullish)
Trading Action: Consider entering or adding to long positions
Confidence Level: High confidence in uptrend
Small Green Candles: Main trend is up but fast line is moving down (caution in uptrend)
Trading Action: Hold existing long positions but wait before adding
Confidence Level: Moderate confidence in uptrend, possible short-term pullback
Large Red Candles: Main trend is down and fast line confirms (strong bearish)
Trading Action: Consider entering or adding to short positions
Confidence Level: High confidence in downtrend
Small Red Candles: Main trend is down but fast line is moving up (caution in downtrend)
Trading Action: Hold existing short positions but wait before adding
Confidence Level: Moderate confidence in downtrend, possible short-term bounce
Super Signals - High Confidence Trading Opportunities
The SMO focuses exclusively on high-confidence "Super" signals:
Green Diamond Super Buy Signals
Meaning: Both short-term and long-term oscillators are generating buy signals simultaneously
Visual Indicator: Green diamond markers at the bottom of the indicator (0 level)
Trading Action: Strong entry signal for long positions
Confidence Level: High confidence signal, especially when accompanied by large green candles
Purple Diamond Super Sell Signals
Meaning: Both short-term and long-term oscillators are generating sell signals simultaneously
Visual Indicator: Purple diamond markers at the top of the indicator (100 level)
Trading Action: Strong entry signal for short positions or exit signal for long positions
Confidence Level: High confidence signal, especially when accompanied by large red candles
Market Liquidity Concept
The SMO provides a unique perspective on market conditions that goes beyond traditional oscillator interpretations:
Low Oscillator Readings (Below 20)
When the oscillator shows low readings (below 20), this indicates:
Traditional interpretation: Market is oversold, potential for upward reversal
Liquidity interpretation: Insufficient money in the market
This suggests thin trading conditions where large orders may have outsized impact
Price movements may be more erratic and less predictable
Breakouts may lack follow-through due to insufficient participation
High Oscillator Readings (Above 80)
When the oscillator shows high readings (above 80), this indicates:
Traditional interpretation: Market is overbought, potential for downward reversal
Liquidity interpretation: Abundant money in the market
This suggests deep trading conditions with high participation
Price movements tend to be more orderly and trend-based
Breakouts may have stronger follow-through due to high participation
Trading Strategies with SMO
Strategy 1: Main Trend with Alignment Confirmation
This strategy uses the main trend direction with alignment confirmation:
Entry Criteria:
Main trend direction is established (green or red candles)
Fast line aligns with main trend (large candles)
Super signal confirms (green or purple diamond)
Exit Criteria:
For long positions: When candles turn red or Super Sell signal appears
For short positions: When candles turn green or Super Buy signal appears
Stop Loss Placement:
For long positions: Below recent swing low
For short positions: Above recent swing high
Strategy 2: Counter-Trend Opportunity Detection
This strategy identifies potential counter-trend opportunities:
Entry Criteria:
Small candles appear (indicating disagreement between fast and main trend lines)
Oscillator reaches extreme levels (above 80 or below 20)
Wait for candle color change before entering
Position Sizing:
Use smaller position sizes for counter-trend trades
Increase size only when main trend confirms the new direction
Exit Criteria:
Take profit at the first sign of alignment in the opposite direction
Use tighter stops than with trend-following trades
Strategy 3: Market Liquidity Strategy
This strategy incorporates the market liquidity concept:
For Low Liquidity Conditions (Readings below 20):
Wait for Super Buy signals (green diamond)
Use smaller position sizes
Be prepared for potentially erratic price movements
Look for signs of increasing liquidity (expanding candle bodies) before adding to positions
For High Liquidity Conditions (Readings above 80):
Consider holding positions longer despite "overbought" readings
Use trailing stops to capture extended moves
Be aware that trends may persist longer than expected
Practical Trading Scenarios
Scenario 1: Strong Trend Confirmation
Candle Pattern: Series of large green candles (main trend up, fast line confirms)
Signal: Green diamond Super Buy marker at the bottom (0 level)
Background: Intensifying green gradient
Action: Enter long position with confidence
Stop Loss: Below recent swing low
Take Profit: When candles become small or turn red
Scenario 2: Trend Weakening Detection
Candle Pattern: Green candles becoming smaller (main trend still up, but fast line diverging)
Signal: No new signals
Background: Fading green gradient
Action: Tighten stops on long positions, prepare for potential reversal
Reasoning: Fast money is starting to move against the main trend
Scenario 3: Trend Reversal Identification
Candle Pattern: Transition from small green candles to red candles (main trend changing)
Signal: Appearance of purple diamond Super Sell marker at the top (100 level)
Background: Changing from green to red gradient
Action: Exit long positions and potentially enter short positions
Timing: Most effective when reversal occurs near overbought (80) level
Forever Model [Pro+] (Sniper)Introduction
Forever Model (Sniper) is a clean, structured framework for visualizing internal liquidity to external liquidity rotations. It identifies shifts in market delivery by combining internal liquidity zones (Fair Value Gaps), divergence between correlated markets (Smart Money Technique), and lower timeframe orderflow changes (Orderblocks).
Designed for repeatability, the model helps analysts build confidence through familiarity, not complexity.
Rather than attempting to forecast direction, this model focuses on recognizing recurring patterns in delivery behavior across Timeframes. It presents a structured visual logic that can support manual analysis, with the aid of alerts that prompt analysts to investigate and validate potential price rotations.
The model is non-repainting, thoughtfully built to highlight past rotations once formed. It offers flexibility across assets and Timeframes, adapting to analysts' preferences while remaining consistent in its components.
Description
The model is organized into a three-part sequence. These three conditions form the visual foundation of the model. All parameters can be customized to match your preferred timeframe, session, and market:
Internal Range Liquidity Tag (IRL)
Price must interact with a defined internal inefficiency—typically a Fair Value Gap (FVG), which is an area between a three candle structure where price moves rapidly, leaving an imbalance that may later be revisited to be filled for efficiency.
Smart Money Technique Divergence Detected (SMT)
SMT transpires as a crack in correlation between two assets – this divergence is used to indicate potential shifts in price delivery.
SMT can be observed between two correlated assets, where one makes a lower low while the other holds a higher low (or conversely, one makes a higher high while the other forms a lower high).
Similarly, SMT can also occur between inverse correlated assets, where one makes a lower low while the other holds a lower high (or conversely, one makes a higher high while the other forms a higher low).
Change in State of Delivery (CISD)
After SMT occurs, the model identifies a CISD—a strong close engulfing the body of a previous directional candle that sweeps a short-term high or low. This suggests that price may be shifting from one delivery regime to another. The candle is labelled as an Orderblock (OB) candidate, with optional projected measures for better range of opportunity estimation.
Key Features
Model History Control
Controls how many past model formations appear on the chart, with a maximum of 40. Analysts may use shorter history for live charting or increase the count when studying past performance or recurring conditions.
When History is equal to 0, it will only show only live models in development, or nothing if no models are currently active.
Note: historical invalidated rotations are visualized through small markers, and may not display the model's components unless reviewed in Replay Mode. This mechanism keeps the chart clean, and allows the analyst to focus on the confirmed rotations.
Directional Bias Filter
Filters whether the model shows formations in only one direction or both. For example, selecting “Bullish” displays only internal range zones and divergence setups that meet criteria for upside movement. This feature is crucial for allowing analysts to align with higher Timeframe bias or studying unidirectional structures.
SMT Pair Input
The model compares your active chart with a second asset to detect SMT Divergence. You may manually enter a symbol (e.g., ES1!, BTCUSD, NZDUSD) or use Automatic SMT Pair Detection , which selects the most relevant correlated market. Inverse SMT inverts the logic, useful for negatively correlated pairs (e.g., gold vs dollar).
For example, although the Automatic SMT Pair Detection for CME_MINI:NQ1! is CME_MINI:ES1! , one may decide to use a leading stock in the NASDAQ such as NASDAQ:NVDA :
Timeframe Alignment
Defines which higher Timeframe the IRL is drawn from, and which lower Timeframe is used to evaluate the Model's conditions. These Timeframe Alignments can be selected individually to only showcase a specific combination of IRL and LTF Conditions; for a more dynamic approach, the "Automatic" option adjusts these pairings based on the current chart Timeframe. By selecting the "Custom" option, analysts can define and monitor their own preferred Timeframe Alignment.
Example: 5m Conditions ➞ 1H IRL vs. 4H Conditions ➞ Weekly IRL
Fair Value Gap (FVG) Visualization
Fair Value Gaps are areas where price moved quickly between two candles without overlap—these areas represent the IRL of the model, and are often revisited before continuing. Optionally, the analyst can decide to showcase the Consequent Encroachment (CE), the midpoint where price begins to fill the imbalance. Further, the analyst can maintain a cleaner chart by only showing FVG where SMT occurs, substantially limiting the number of drawings on the chart.
SMT Visualization
Draws visual lines connecting SMT points between the HTF reference points of the current chart's asset, and the SMT Pair asset. Helps analysts confirm divergence location and relationship at a glance, especially when reviewing multiple correlated pairs.
Liquidity Sweep Visualization
Most recent short-term liquidity swept, which resulted in a CISD. Marking this liquidity pool—a high or low that has been taken out—provides context and can give additional insight to evaluate the current market rotation.
Orderblock + Projections (OB)
When a CISD is recognized, an OB candidate is plotted. Projections from the OB can be displayed at customizable distances, serving as measurements for better range of opportunity estimation.
External Range Liquidity (ERL)
External Range Liquidity refers to price levels that sit beyond internal structures—typically local highs or lows that may be revisited after a retracement, for continuation.
Session Filters + Timezone Control
Define up to four time blocks (e.g., London Open, NY AM, PM session, Asia) for when the model is active. Timezones are fully customizable, supporting global use cases and precise filtering of formations to sessions with expected volume or cleaner structure.
Information Table
A compact, floating panel is available to display key model parameters in real time: Timeframe Alignment, Bias Direction, Active SMT Pair, Time Filter Conditions, Date.
This feature provides immediate context under which the model is operating — especially useful during active chart review or multi-pair monitoring. The table can be repositioned, resized, or disabled entirely depending on visual preference.
Model Markers & Backtest Support
The model includes a visual marker system to support chart review and backtesting. These overlays provide reference points for past structure, showcasing the following:
Reaching an OB Projection after revisiting the OB
Reaching the External Range Liquidity after revisiting the OB
Reaching an OB Projection without revisiting the OB
Reaching the External Range Liquidity without revisiting the OB
Invalidating the detected OB
Fully Automated Framework: all these components, when put together in the Forever Model ($niper), yield a clean and simple approach to studying and observing market rotations, empowering analysts in seeing the market through $niper's point of view. Each component is customizable to the analyst's liking to match their unique visual and technical preferences.
Usage Guidance:
Add Forever Model ($niper) to your TradingView chart.
Select your preferred SMT Pair, Timeframe Alignments, Model Style, and Time Filters.
Automate your analysis process with Forever Model (Sniper) and leverage it into your existing strategies to fine-tune your view through Sniper's point of view.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Whale Activity Tracker Enhanced"Whale Activity Tracker Enhanced: Multi-Timeframe Adaptive Trading Signals"
Description:
The Whale Activity Tracker Enhanced (WAT+) is an innovative, multi-dimensional indicator designed to detect and visualize significant market moves likely driven by large players ("whales"). It combines volume analysis, price action, volatility, and momentum to provide traders with a comprehensive view of potential high-impact market events.
Key Features:
1. Adaptive Volume Spike Detection: Dynamically adjusts to market conditions, identifying unusual volume surges relative to recent activity.
2. Multi-Factor Confirmation: Combines volume spikes with price movements, RSI levels, and volatility measures for higher-probability signals.
3. Liquidity Grab Detection: Identifies potential stop-loss raids and liquidity sweeps through wick-to-body ratio analysis.
4. Customizable Signal Strength: Provides a visual representation of signal intensity, allowing traders to focus on the most significant events.
5. Flexible Timeframe Usage: Optimized settings for both scalp and swing trading, making it versatile across different trading styles.
How It Works:
- Volume Spike Analysis: Compares current volume to a user-defined multiple of the average volume.
- Price Move Threshold: Flags significant percentage price changes to filter out minor fluctuations.
- RSI Integration: Uses RSI to identify potential overbought/oversold conditions coinciding with other signals.
- Volatility Measurement: Incorporates ATR to detect periods of increased market volatility.
- Wick Analysis: Detects potential liquidity grabs by analyzing the ratio of candle wicks to bodies.
Originality:
Unlike standard volume or price action indicators, WAT+ synthesizes multiple market factors to provide a holistic view of potential whale activity. Its adaptive nature and customizable parameters allow it to work across various market conditions and trading styles.
Usage Guide:
1. Scalp Trading Setup:
- Use shorter lookback periods (12-15 bars) and tighter RSI levels (75/25).
- Focus on quick, high-probability trades triggered by volume spikes and price moves.
- Utilize the signal strength indicator for entry confirmation.
2. Swing Trading Setup:
- Extend lookback periods (20-30 bars) and use standard RSI levels (70/30).
- Look for sustained signals over multiple candles for trend confirmation.
- Combine with broader market trend analysis for higher-probability setups.
3. General Tips:
- Use the info panel to analyze the components of each signal.
- Adjust volume and price thresholds based on the specific asset's volatility.
- Combine with support/resistance levels for optimal entry and exit points.
By providing a multi-faceted approach to market analysis, the Whale Activity Tracker Enhanced empowers traders to identify and capitalize on significant market moves across various timeframes and trading styles.
Swing Trading Settings:
General Settings
Lookback Period: 20 to 30 bars. This provides a smoother signal and better context for swing trading.
Volume Spike Multiplier: 2.5 to 3.0. Higher thresholds ensure only significant volume spikes are considered.
Price Move % Threshold: 2.0 to 3.0%. Larger price move thresholds align with swing trading objectives.
RSI Period: 14 to 21. Longer periods smooth out short-term fluctuations.
RSI Overbought/Oversold Levels: 70/30. These levels work well for identifying potential reversals in swing trading.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: True (important for identifying strong trends)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: True (useful for detailed analysis of swing setups)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Parameters
ATR Period: 14 to 20. This helps identify volatility and set stop-loss levels.
Wick-to-Body Ratio: 2.0 or higher. This ensures only significant liquidity grabs are flagged.
Signal Strength Smoothing: 3 to 5 bars for steadier signals.
Scalp Trading:
General Settings
Lookback Period: 12 to 15 bars. This allows for a balance between responsiveness and noise reduction.
Volume Spike Multiplier: 2.0 to 2.2. This setting helps detect significant volume spikes without overreacting to minor fluctuations.
Price Move % Threshold: 1.0 to 1.2%. This captures substantial price movements suitable for scalp trading.
RSI Period: 7 to 9. Shorter periods provide quicker signals, ideal for scalp trading.
RSI Overbought/Oversold Levels: 75/25. Tighter levels help identify potential reversals sooner.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: False (optional, depends on market conditions)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: False (optional, for cleaner charts)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Tips
ATR Period: Keep it around 14 for volatility assessment.
Wick-to-Body Ratio: Adjust to 1.8 or higher for clearer liquidity grabs.
Signal Strength Smoothing: Use 2 to 3 bars for a responsive yet stable signal.
