Order Blocks Indicator [TradingFinder] Lightning|CHOCH |OB | BOS🔵 Introduction
In "Price Action," an "Order Block" is essentially an area on the price chart where significant players such as institutional traders have executed their moves by placing noteworthy orders. These points often indicate areas where price either attempts to break through (resistance) or returns when it reaches there (support).
Therefore, when discussing the identification of order blocks, we typically refer to finding points where the price has stalled for a while and has accumulated strength before making a significant move in one direction.
Essentially, order blocks assist traders in understanding where large players with "smart money" have likely placed their bulk orders in the market. Traders use these order blocks as part of their overall analysis to identify probable levels where price may change direction.
This version of the order block indicator is designed for traders, adding many indicators to their charts. The minimal design helps minimize disruptions to user focus.
🔵 Identification of Order Blocks
To identify order blocks, first, a "Level Break" must occur. To identify a "Demand Zone," a "High Level Break" is required, and to identify a "Supply Zone," a "Low Level Break" is needed.
Demand Zone :
Supply Zone :
🔵 "Change of Character" or "Market Shift Structure"
"ChoCh" or "MSS" is the "Break Level" that is contrary to the previous trend. For example, if a "Bearish Level" is established in the market and consecutive "Low Levels" are being broken, the price turns upward, breaking a "High Level." This break is called "ChoCh" or "MSS."
🔵 "Break of Structure"
"Break of Structure," or "BoS" for short, is the "Break Level" in the direction of the current trend. For example, if a "Bullish Level" is established in the market, when the price breaks a "High Level," a "BoS" has occurred.
🔵 Features
🟣 Major Level
This feature helps you easily identify major levels. These levels form when the price breaks another major level.
🟣 Refine Order Block
The "Refinement" feature allows you to adjust the width of the order block based on your strategy. There are two modes, "Aggressive" and "Defensive," in Order Block Refine. The difference between "Aggressive" and "Defensive" lies in the width of the order block. For "Risk Averse" traders, the "Defensive" mode is suitable because it provides smaller stop losses and larger reward-to-risk ratios. For "Risk Taker" traders, the "Aggressive" mode is more suitable. These traders prefer to enter trades at higher prices and this mode, where the width of the order block is greater, is more suitable for this group of individuals.
🔵 How to Use
After adding the indicator to your chart, you will see a visual similar to the image below. Green order blocks are "Demand Zones" and red order blocks are "Supply Zones." The midpoint of the order blocks also indicates 50% of it.
Refine Order Block is defaulted to On and refines the order blocks. If you want the order blocks to remain original, you should set it to Off.
Refine is defaulted to "Defensive" mode. If you want it to be in "Aggressive" mode, you should change its mode through Refine Type.
Displaying "Major Levels" is turned off by default and to display them, you should set "Show High Level" and "Show Low Level" to "Yes." You can use these lines to identify liquidity or determine stop loss and take profit levels.
Tìm kiếm tập lệnh với "smart"
Liquidity Finder🔵 Introduction
The concept of "liquidity pool" or simply "liquidity" in technical analysis price action refers to areas on the price chart where stop losses accumulate, and the market, by reaching those areas and collecting liquidity (Stop Hunt), provides the necessary energy to move the price. This concept is prominent in the "ICT" and "Smart Money" styles. Imagine, as depicted below, the price is at a support level. The general trader mentality is that there is "demand" for the asset at this price level, and this demand will outweigh "supply" as before. So, it is likely that the price will increase. As a result, they start buying and place their stop loss below the support area.
Stop Hunt areas are essentially traders' "stop loss" levels. These are the liquidity that institutional and large traders need to fill their orders. Consequently, they penetrate the price below support areas or above resistance areas to touch their stop loss and fill their orders, and then the price trend reverses.
Cash zones are generally located under "Swings Low" and above "Swings High." More specifically, they can be categorized as support levels or resistance levels, above Double Top and Triple Top patterns, below Double Bottom and Triple Bottom patterns, above Bearish Trend lines, and below Bullish Trend lines.
Double Top and Triple Top :
Double Bottom and Triple Bottom :
Bullish Trend line and Bearish Trend line :
🔵 How to Use
To optimally use this indicator, you can adjust the settings according to the symbol, time frame, and your needs. These settings include the "sensitivity" of the "liquidity finder" function and the swing periods related to static and dynamic liquidity lines.
"Statics Liquidity Line Sensitivity" is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
"Dynamics Liquidity Line Sensitivity" is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
"Statics Period Pivot" is set to 8 by default. By changing this number, you can specify the period for the static liquidity line pivots.
"Dynamics Period Pivot" is set to 3 by default. By changing this number, you can specify the period for the dynamic liquidity line pivots.
🔵 Settings
Access to adjust the inputs of Static Dynamic Liquidity Line Sensitivity, Dynamics Liquidity Line Sensitivity, Statics Period Pivot, and Dynamics Period Pivot is possible from this section.
Additionally, you can enable or disable liquidity lines as needed using the buttons for "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line."
SMC Fake Zones + InsideBarThis indicator is useful for whom trade with "Smart Money Concept (SMC)" strategy.
It helps SMD traders to identify fake or weak zones in the chart, So they can avoid taking position in this zones.
This indicator marks "Asia session" as well as "London and New York's Lunch Time (one hour before London and NY session starts)" zones.
It also marks Inside Bar candles which SMC trades consider as order flow. You can mark every Inside Bar or only those with opposite color via setting options.
*** As we know in SMC rules
1- Supply and Demand zones in "Asia session and Lunch Times" are fake zones for SMC trading and price will engulf them in most of times.
2- "Asia session high and low" has huge liquidity and usually price sweep that in London session.
This indicator will helps traders to visually identify those Fake zones and Asia session liquidity.
* You can change session times based on your time zone in settings.
* You can set options to show all Inside Bars or only with Opposite color in settings.
Order Block Finder [MHA Finverse]Order Block Finder is a sophisticated Smart Money Concepts (SMC) tool designed to identify and visualize institutional order blocks on your charts. This indicator helps traders spot key areas where smart money has placed their orders, providing valuable insights for potential support and resistance zones.
What are Order Blocks?
Order blocks are price zones where institutional traders have placed significant orders. This indicator identifies these zones by detecting pivot points in price action and tracking structural breaks in both internal (short-term) and swing (long-term) timeframes.
Key Features:
• Dual Structure Analysis
- Internal Order Blocks: Fast-moving blocks based on 5-bar pivots for short-term trading
- Swing Order Blocks: Slower blocks based on 50-bar pivots for position trading
- Display up to 20 order blocks per type
• Volume Metrics
Each order block displays two important metrics:
- Volume value: The total volume of the candle that formed the order block
- Percentage: Relative volume compared to all visible order blocks (always totals 100%)
Higher percentages indicate stronger institutional activity and more significant zones
• Smart Filtering System
- ATR Filter: Filters out high-volatility candles (>2x ATR) to focus on genuine order blocks
- CMR Filter: Uses Cumulative Mean Range for adaptive filtering across different market conditions
• Flexible Mitigation Options
Choose how order blocks are considered broken:
- High/Low: Order block breaks when price touches its boundary
- Close: Order block breaks only when candle closes through it
• Visual Customization
- Colored or Monochrome themes
- Adjustable text size for volume metrics
- Customizable colors for bullish and bearish blocks
- Historical or Present mode for clean chart analysis
• Built-in Alert System
- Real-time alerts when order blocks are mitigated
- Individual toggles for each alert type
- Clear emoji indicators (🔵 Bullish, 🔴 Bearish)
- Compatible with TradingView's alert system
How It Works:
The indicator identifies order blocks by:
1. Detecting pivot highs and lows in price structure
2. Monitoring when price crosses these pivots (structure breaks)
3. Finding the highest/lowest volatility-filtered candle in the pivot zone
4. Marking this candle as an order block with its volume data
5. Removing blocks when the price mitigates them
Order blocks with higher volume percentages represent stronger institutional interest and are typically more reliable for trading decisions.
Best Practices:
- Use Internal OBs for day trading and scalping
- Use Swing OBs for swing trading and position entries
- Pay attention to blocks with higher volume percentages
- Combine with other SMC concepts for confirmation
Perfect for traders who follow Smart Money Concepts, ICT methodology, and institutional trading analysis.
Disclaimer:
This indicator is provided for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The creator of this indicator assumes no responsibility for any losses incurred from its use.
SMC Pro [Stansbooth]
🔮 SMC × Fibonacci Confluence Engine — The Hidden Algorithm of the Markets
Welcome to a level of chart analysis where mathematics , market psychology , and institutional logic merge into one ultra-intelligent system.
This indicator decodes the true structure of price delivery by combining Smart Money Concepts with the timeless precision of Fibonacci ratios , revealing what retail traders can’t see — *the algorithmic heartbeat of the market*.
✨ What Makes This Indicator Different
Instead of drawing random lines or reacting to late signals, this tool **anticipates** market behavior by reading the footprints left behind by institutional algorithms. Every element is placed with purpose — every zone, every shift, every fib level — all forming a seamless narrative that explains *why* price moves the way it does.
🔥 Core Intelligence Features
Advanced BOS/CHOCH Auto-Detection — Spot structure shifts before momentum even forms.
Institutional Liquidity Mapping
— Identify liquidity pools, engineered sweeps, equal highs/lows, and trap zones designed by smart money.
Fibonacci-Aligned Precision Zones
— Auto-generated fib grids synced with SMC levels for pinpoint reversal and continuation setups.
Imbalance Engine
— FVGs, displacement, inefficiencies, and mitigation blocks displayed with crystal clarity.
Premium/Discount Algorithm
— Understand instantly whether price is in a zone of accumulation or distribution.
🚀 Designed for Traders Who Want an Edge
Whether you're scalping fast moves, capturing intraday swings, or holding higher-timeframe plays, this indicator provides a professional lens into the market. It turns complex price action into a structured, predictable system where every move has logic and every entry has confluence.
You don’t just see the chart —
you see the intention behind every push, pull, manipulation, and reversal.
💎 Why It Feels Like a Cheat Code
Because it mirrors the way institutions analyze the market:
— Identify liquidity
— Seek equilibrium
— Deliver price
— Create inefficiency
— Mitigate
— Continue the narrative
Using SMC and Fibonacci together unlocks the “algorithmic geometry” behind price movement, giving you clarity where others see chaos.
⚡ Trade With Confidence, Confluence & Control
This indicator isn’t just a tool.
It’s a complete trading framework — structured, intelligent, and deadly accurate.
Master the markets.
Decode the algorithm.
Trade like smart money .
RSI Analytic Volume Matrix [RAVM] Overview
RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle.
The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time.
Concept & Philosophy
RAVM is built around a hierarchical logic and a few core ideas:
• Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed).
• Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting.
• RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power.
• Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context.
• Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries.
• VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart.
How RAVM Works
1. RSI Context & Geometry
RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity).
The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning.
2. Volume & Statistical Engine
The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of:
• Total volume
• Buy-side volume
• Sell-side volume
• Delta (buy – sell)
Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history?
3. Scoring System (Quantum Score)
For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence:
A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks.
B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight.
C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting.
D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?"
E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax.
If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence.
4. Overlay UI & Smart Labels
RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows:
• Direction of the setup (bullish or bearish)
• Trigger type (classic OS/OB vs. geometric/hidden)
• Status (warning vs. confirmed)
• Quantum Score as a percentage
Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable.
In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power.
RSI Is Not Just 30 and 70
One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification.
Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place?
In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator.
Matrix User Manual – Reading the 5×5 Grid
The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance.
1. Confirmation Scenarios
These scenarios occur when momentum direction and volume expansion are aligned:
• Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective.
• Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns.
2. Absorption & Stopping Volume
• Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd.
• Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn.
3. Distribution & Buying Climax
• Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints.
• Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling.
4. No Demand & No Supply
• No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action.
• No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in.
5. Trend Exhaustion
• Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves.
• Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally.
6. Effort vs. Result Scenarios
• Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market.
• Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand.
7. Neutral, Churn & Thin Markets
• Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important.
• High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend.
Inputs & Options
RAVM includes several input groups to adapt the tool to your preferences:
• Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian).
• RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70).
• Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events.
• Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters.
• Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states.
Disclaimer
RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
Dynamic Support and Resistance with Trend LinesDynamic Support and Resistance with Trend Lines (DSRTL)
1. Introduction & Methodology
The DSRTL indicator is designed to provide a multidimensional analysis of market structure. Unlike traditional tools that rely solely on price pivots, this script combines Static Volume-based Zones with Dynamic Trend Lines to evaluate the price's position relative to critical market components.
The S/R Identification Technique
Instead of standard pivot points, DSRTL utilizes Volume Analysis to highlight areas of significant trader participation:
- Strategy A:
Matrix Climax: Identifies candles within the lookback period that are near price extremes (Highs/Lows) and coincide with significant buying or selling volume.
- Strategy B:
Volume Extremes: Detects candles with the absolute highest buy/sell volumes within the selected lookback window, creating extreme volume-based S/R zones.
- Result:
This creates Support/Resistance (S/R) zones that are validated by actual market activity, not just price geometry.
Dynamic Trend Lines
To complement the static zones, the indicator employs two adaptive channel methods:
- Pivot Span: Connects recent significant pivots for a fast, reactive trend corridor.
- 5-Point Channel: Segments the lookback period into 5 parts to perform a linear regression analysis, creating a stable and statistically significant channel.
2. Volume Calculation Methodology
Accurate S/R detection requires distinguishing Buy Volume from Sell Volume. DSRTL offers two calculation modes:
- Geometry (Source File): Estimates buy/sell volume based on the Close price's position relative to the High/Low of the candle.
Note: This is an approximation that works on all plan types as it does not require intrabar data.
- Intrabar (Precise): Analyzes historical lower-timeframe data (e.g., 15S) to calculate intrabar-based volume deltas with higher precision compared to the geometric method.
Note: This offers superior accuracy. It requires access to historical intrabar data (depending on your plan limits). For the best analytical results, use this mode if available.
3. The Smart Matrix Engine (3D Analysis)
The core of DSRTL is its dashboard, powered by the "Smart Matrix Engine." This engine evaluates the current price in a multi-layer market structure context (Static Volume Zones + Dynamic Channels + Volume Metrics).:
A. S-State (Static): Where is the price relative to the Volume S/R zones?
B. D-State (Dynamic): Where is the price relative to the Trend Channels?
How to read the Matrix Map:
The dashboard displays a 5x5 grid representing 25 possible market scenarios.
- Rows (S1-S5): Represent the Static State (S1=Breakout, S3=Mid-Range, S5=Breakdown).
- Columns (D1-D5): Represent the Dynamic State (D1=Overextended Up, D3=Neutral, D5=Overextended Down).
- Active Cell: Marked with a dot, indicating the specific intersection of price action and market structure.
4. Matrix Interpretations (The 25 Scenarios)
Below is the detailed logic for every possible state displayed on the dashboard, explaining the Title, Bias, and actionable Signal.
Section I: S1 - Static Breakout (Price > Static Resistance)
The price has cleared the static volume resistance zone.
- S1 / D1: HYPER EXTENSION
Bias: Extreme Bullish
Signal: Caution: Exhaustion Risk. Trail stops tight.
- S1 / D2: RESISTANCE CLASH
Bias: Bullish
Signal: Breakout confirmed but facing immediate dynamic resistance.
- S1 / D3: CHANNEL BREAKOUT
Bias: Strong Bullish
Signal: Ideal Trend Continuation. Look to buy dips.
- S1 / D4: SMART PULLBACK
Bias: Bullish (Pullback)
Signal: A pullback occurring after a breakout. Strong buy opportunity.
- S1 / D5: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakout is failing against dynamic structure. High Risk.
Section II: S2 - Inside Static Resistance
The price is currently testing the overhead resistance zone.
- S2 / D1: WEAK SPIKE
Bias: Neutral/Bullish
Signal: Testing resistance, but short-term overextended.
- S2 / D2: IRON FORTRESS (R)
Bias: Rejection Risk
Signal: Double Resistance (Static + Dynamic). High probability of rejection.
- S2 / D3: TESTING RES
Bias: Neutral
Signal: Consolidating at resistance. Wait for a clear break or rejection.
- S2 / D4: COMPRESSION (UP)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Resistance and Dynamic Support. Volatility imminent.
- S2 / D5: RES vs DOWN-TREND
Bias: Bearish
Signal: Strong downtrend meeting static resistance. Potential Short entry.
Section III: S3 - Mid-Range
The price is floating between significant Static Support and Resistance.
- S3 / D1: OVERBOUGHT RANGE
Bias: Rejection Risk (OB)
Signal: Overextended within the range. Potential fade (short).
- S3 / D2: RANGE HIGH LIMIT
Bias: Neutral/Bearish
Signal: At the top of the dynamic channel. Look for rejection signs.
- S3 / D3: NEUTRAL / CHOPPY
Bias: Neutral
Signal: Dead Center. Low probability environment. Avoid trading.
- S3 / D4: RANGE DIP BUY
Bias: Neutral/Bullish
Signal: At the bottom of the dynamic channel. Look for bounce signs.
- S3 / D5: WEAK RANGE (OS)
Bias: Bounce Risk (OS)
Signal: Oversold within the range. Potential fade (long).
Section IV: S4 - Inside Static Support
The price is currently testing the floor support zone.
- S4 / D1: SUP vs UP-TREND
Bias: Bullish
Signal: Strong uptrend meeting static support. Potential Long entry.
- S4 / D2: COMPRESSION (DN)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Support and Dynamic Resistance. Volatility imminent.
- S4 / D3: TESTING SUPPORT
Bias: Neutral
Signal: Consolidating at support. Wait for a bounce or breakdown.
- S4 / D4: IRON FLOOR (S)
Bias: Bounce Risk
Signal: Double Support (Static + Dynamic). High probability of a bounce.
- S4 / D5: WEAK DIP
Bias: Neutral/Bearish
Signal: Testing support, but short-term oversold.
Section V: S5 - Static Breakdown (Price < Static Support)
The price has dropped below the static volume support zone.
- S5 / D1: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakdown is failing. High Risk.
- S5 / D2: BEAR PULLBACK
Bias: Bearish (Pullback)
Signal: A pullback occurring after a breakdown. Strong selling opportunity.
- S5 / D3: CHANNEL BREAKDOWN
Bias: Strong Bearish
Signal: Ideal Trend Continuation (Down). Sell rallies.
- S5 / D4: SUPPORT CLASH
Bias: Bearish
Signal: Breakdown confirmed but facing immediate dynamic support.
- S5 / D5: HYPER DROP (VOID)
Bias: Extreme Bearish
Signal: Caution: Climax risk. Trail stops for shorts.
DISCLAIMER & EDUCATIONAL PURPOSE
This indicator is strictly an educational tool designed to visualize complex market structure concepts. Its primary purpose is to help traders "bridge the gap" between academic theory and real-time market behavior by providing a visual representation of support, resistance, and volume dynamics.
Please Note:
1. Not a Trading Strategy: This script is an analytical assistant, not a standalone "Black Box" trading system. It does not generate buy or sell signals that should be followed blindly.
2. No Financial Advice: The data provided by this tool is for informational purposes only. It is not a recommendation to buy or sell any asset.
3. Risk Warning: Trading involves significant risk. Always use your own judgment, perform your own technical analysis, and use proper risk management. Do not use this tool as the sole basis for your trading decisions.
4. Data Precision & Platform Limits: The "Intrabar (Precise)" calculation mode relies on high-resolution historical data to provide exact results. Access to this specific data depth depends entirely on your platform's subscription capabilities. If your plan does not support this level of historical intrabar data, the Precise mode may have limited coverage. In that case, you should switch to "Geometry" mode for a fully populated view.
SMC Trend Reversal by Pooja🌟 SMC Trend Reversal by Pooja — CHoCH + BOS + RSI Confirmation
🔥 Smart Money Concepts • Trend Reversal Detection • Multi-Asset Optimized
The SMC Trend Reversal by Pooja is a powerful market-structure indicator designed for traders who follow Smart Money Concepts (SMC) and want to identify trend reversals, BOS, and CHoCH with high clarity.
It blends pivot-based structure breaks, RSI confirmation, and an optional session filter, giving traders a clean and reliable view of market shifts across Crypto, Forex, Indices, and Equity Derivatives.
✨ 🔰 Why SMC Matters in Crypto & Forex?
Both Crypto and Forex markets:
Trade 24/7 / 5 days with high volatility
React strongly to liquidity zones, market structure shifts, and smart money footprints
Often reverse sharply after liquidity grabs
Follow clean CHoCH → BOS → Trend progression sequences
This is why CHoCH (Change of Character) and BOS (Break of Structure) are crucial tools used by professional SMC traders to catch early trend reversals.
This indicator automates that process for you.
No clutter. No repaints. No noise.
Just pure SMC structure.
🚀 Key Features
🟣 CHoCH Detection (Change of Character)
Detects when the market shifts direction
A CHoCH appears when the trend flips from down → up or up → down
Highlights the earliest sign of a trend reversal
Draws a clean CHoCH line across structure
Works beautifully in volatile markets like Crypto & Forex
🔵 BOS Detection (Break of Structure)
Identifies structural continuation in the same direction
Helps confirm the new trend after CHoCH
Clear BOS lines to visualize progression of market flow
Ideal for trend-following and breakout traders
🧠 RSI-Based Confirmation (Optional)
To avoid fake CHoCH signals, the indicator uses RSI filtering:
RSI > Upper Level → Show “B” Buy Label
RSI < Lower Level → Show “S” Sell Label
This improves accuracy especially in:
Fast crypto markets (BTC, ETH, SOL etc.)
Liquidity-driven assets (Forex, Indices)
⏱️ Session Block (Asia/Kolkata Compatible)
Avoid signals in the first few minutes of market open or in volatile windows.
Block signals in a selected time range
Perfect for Indian market opening volatility (09:00–09:25)
🎯 Clean, Minimal, Easy-to-Read Visuals
✔ Horizontal structural lines
✔ Color-coded CHoCH and BOS
✔ Buy (B) / Sell (S) labels only when meaningful
✔ No unnecessary clutter
✔ Suitable for both beginners and advanced SMC traders
📢 Built-In Alerts
Receive notifications for:
🔔 Bullish CHoCH
🔔 Bearish CHoCH
🔔 Bullish BOS
🔔 Bearish BOS
Perfect for mobile, desktop, and webhook automation.
📈 How It Helps Your Trading
✔ Catch early trend reversals with confidence
✔ Avoid false signals with RSI filtering
✔ Trade like Smart Money (Institutional concepts)
✔ Works on all timeframes — scalping to swing
✔ Specially powerful on Crypto & Forex due to their structure-driven nature
✔ Cleaner charts → Better decisions → Higher probability trades
🧩 Who Should Use This Indicator?
✔ SMC / ICT style traders
✔ Breakout and trend-following traders
✔ Reversal traders
✔ Crypto & Forex scalpers
✔ Option buyers looking for early trend shifts
✔ Intraday NIFTY / BANKNIFTY traders
⚠️ Disclaimer
This indicator is for educational purposes and market analysis only.
It does not guarantee profits. Always practice risk management and test your settings before using it live.
Screener (SSA) [AlgoAlpha]🟠 OVERVIEW
This script is a multi-symbol screener that serves as a dashboard companion to the "Smart Signals Assistant (SSA)" indicator. Its purpose is to monitor the entire suite of SSA components—from the core signals to all confluence tools—across a customizable watchlist of up to 18 assets. By displaying the real-time status of each indicator in a single table, it allows traders to get a bird's-eye view of the market, quickly identify assets with strong trend confluence, and filter for high-probability setups without needing to switch charts.
The screener is designed to mirror the modularity of the main SSA indicator, allowing you to enable or disable components in the table to match your preferred trading dashboard.
🟠 CONCEPTS
The screener is built directly on the analytical framework of the Smart Signals Assistant, applying its complex, proprietary algorithms to each symbol in your watchlist and summarizing the results. The combination of these different analytical concepts is what gives the screener its utility, as it helps traders find opportunities where multiple, distinct strategies align.
Each column in the table represents a core trading concept:
Smart Signals: This is the primary signal engine, designed to identify potential entry points. It operates in different modes to capture both long-term swings and faster scalping opportunities.
Fair Value Trail (FVT): This component provides a dynamic, volatility-adjusted baseline for the trend. It acts as a form of dynamic support or resistance, helping to confirm the validity of a trend shown by the Smart Signals.
Trend Spine: This tool is designed to identify the underlying "backbone" of the market's trend. It filters out short-term price noise to provide a more stable, clear indication of the dominant market direction.
Trend Bias: This measures the strength and conviction behind a trend. It helps distinguish between a strong, accelerating move and a weak, decelerating one, adding a layer of momentum analysis.
Firmament Clouds: These are volatility-based bands that create dynamic overbought and oversold zones. They help identify when price is potentially overextended and due for a pullback or consolidation.
Trend-Range Classifier (TRC): A machine-learning model that analyzes market characteristics to classify the current environment as either "Trending" or "Ranging." This is crucial for helping traders apply the right strategy for the current conditions.
🟠 FEATURES
This screener organizes the complex data from the SSA indicator into a simple, color-coded table. Here is a breakdown of each column and its possible values:
Asset: Displays the ticker symbol for the asset being analyzed.
Smart Signals: Shows the latest signal from the core engine.
▲: A standard bullish signal has been detected.
▼: A standard bearish signal has been detected.
▲+: A strong bullish signal with higher conviction has been detected.
▼+: A strong bearish signal with higher conviction has been detected.
Fair Value Trail: Indicates the trend direction based on the volatility trail.
▲: The FVT is in a bullish trend (acting as dynamic support).
▼: The FVT is in a bearish trend (acting as dynamic resistance).
Trend Spine: Shows the direction of the core underlying trend.
▲: The underlying trend backbone is bullish.
▼: The underlying trend backbone is bearish.
Trend Bias: Measures the current momentum strength.
Strong▲: Strong and accelerating bullish momentum.
Weak▲: Bullish momentum exists but is weakening.
Strong▼: Strong and accelerating bearish momentum.
Weak▼: Bearish momentum exists but is weakening.
Firmament Clouds: Identifies overbought/oversold conditions relative to volatility.
Very Overbought / Overbought: Price is significantly extended above its recent range.
Very Oversold / Oversold: Price is significantly extended below its recent range.
Neutral: Price is trading within its normal volatility range.
Trend-Range Classifier: Displays the market state as determined by the ML model.
Trend: The market is in a trending environment, suitable for trend-following strategies.
Range: The market is in a ranging or consolidating environment, suitable for mean-reversion strategies.
Exit Signal Count: Tracks the number of take-profit signals that have occurred since the last primary Smart Signal.
0, 1, 2, 3...: A numerical count of exit signals. A higher number suggests a trend may be maturing or exhausting.
🟠 USAGE
The main purpose of the screener is to quickly identify assets where multiple components of the SSA system are in alignment, indicating a high-confluence trading opportunity.
1. Setup and Configuration:
Add the screener to your chart.
Go into the settings and populate the "Watchlist" group with the symbols you wish to monitor.
Ensure the settings for the components (Time Horizon, Signal Mode, etc.) are synchronized with the settings on your main SSA indicator for consistency.
2. Interpreting the Columns for Trading Decisions:
Start with the Big Picture (TRC): First, look at the "Trend-Range Classifier" column. If it shows "Trend," you should be looking for trend-following setups. If it shows "Range," you might avoid taking strong trend signals.
Establish Directional Bias (Spine & Bias): For trend-following, look for assets where the "Trend Spine" and "Trend Bias" agree. A "▲" in the Spine column combined with a "Strong▲" in the Bias column indicates a healthy and robust uptrend.
Time Your Entry (Smart Signals): Once you have an asset with a clear bias, watch the "Smart Signals" column for a fresh signal that aligns with that bias. A "▲+" signal appearing in an asset with a strong bullish bias across other columns is a high-confluence entry point.
Add Context (FVT & Clouds): Use the "Fair Value Trail" and "Firmament Clouds" to refine your entry. A buy signal is generally stronger if the FVT is also bullish ("▲") and the price is not in a "Very Overbought" state according to the clouds.
Manage the Trade (Exit Count): After entering a trade, keep an eye on the "Exit Signal Count." As the number increases, it serves as a warning that the trend is becoming extended and it might be time to take partial profits or tighten your stop-loss.
Tập lệnh trả phí
SMC pro trend
The PSK FX Structure Indicator (also known as SMC pro trend) is a complete Smart Money Concepts (SMC) toolkit designed for professional structure traders.
It detects and visualizes key price structure elements such as BoS (Break of Structure), CHoCH (Change of Character), HH/HL/LH/LL, IDM zones, SCOB, sweeps, inside bars, and EMA confluence — all with precise non-repainting logic.
This indicator helps traders read price action like an institution — identifying liquidity shifts, order flow direction, and possible reversal or continuation zones.
⸻
⚙️ Core Features
🧭 Structure Detection
• Automatic detection of major structure points:
• HH – Higher High
• HL – Higher Low
• LH – Lower High
• LL – Lower Low
• Confirms BoS (Break of Structure) and CHoCH (Change of Character) events in both bullish and bearish markets.
• Marks each structure change with labels and connecting lines for clarity.
🔁 BoS / CHoCH Logic
• Solid line = BoS
• Dashed line = CHoCH
• Colored by direction:
• 🟩 Bullish = Green
• 🟥 Bearish = Red
• Option to show live BoS/CHoCH lines extending forward for real-time updates.
🧱 IDM (Internal Displacement Model) Zones
• Detects previous and live IDM zones (premium/discount zones).
• Highlights IDM candles that cause structural displacement.
• Labels each detected IDM level automatically.
⚡ Sweeps (Liquidity Grab Detection)
• Detects when price sweeps previous highs/lows.
• Marks these zones with dotted lines and optional “X” markers.
🧩 SCOB Pattern (Smart Candle Order Block)
• Detects and colors special SMC candle structures:
• Bullish SCOB → Aqua
• Bearish SCOB → Fuchsia
• Option to color all bars by trend direction or only highlight SCOB bars.
🧭 Internal Structure & Pivots
• Marks minor highs/lows (internal structure) for better IDM leg visualization.
• Helps identify early momentum shifts before major structure breaks.
🎯 1.618 Target Projection
• Projects 1.618 Fibonacci targets dynamically after BoS or CHoCH confirmation.
• Displays target price level with text label:
• Bullish → Green Target Line
• Bearish → Red Target Line
🧱 Inside Bar Zones
• Highlights inside bar formations (compression zones).
• Draws colored boxes between high/low of inside bar clusters.
• Marks the first and consecutive inside bars with custom bar colors.
📊 EMA Filter
• Includes a toggleable Exponential Moving Average (EMA) for confluence with trend direction.
• Customizable EMA length (default: 50).
🎨 Monochrome Mode
• Toggle between normal color mode and a clean monochrome theme for minimalistic charting setups.
⸻
🧠 How to Use
1. Identify Market Context:
Wait for a confirmed CHoCH to spot potential reversals or structure shifts.
2. Follow Order Flow:
Confirm trend direction via BoS lines and IDM zones.
3. Entry Planning:
Combine sweep detection, inside bar zones, and IDM levels for sniper entries.
4. Take Profit Zones:
Use the 1.618 target projection line to set high-probability TP levels.
5. Trend Filtering:
Use EMA direction to confirm whether to follow continuation or counter-trend setups.
⸻
🧩 Inputs & Settings
Category
Key Settings
Structure
Equal H/L toggle, HH/LL labeling, internal structure
BoS/CHoCH
Enable/disable labels, custom label size, bull/bear colors
IDM
Show previous/live IDM, label size, color options
Sweeps
Show sweep lines, X-markers, sweep line color
Bar Coloring / SCOB
Toggle bar coloring and SCOB pattern
Inside Bars
Highlight and box compression zones
1.618 Targets
Enable Fibonacci target projection
EMA
Toggle EMA and adjust length
Monochrome Mode
Apply single-color chart theme
⚠️ Notes
• This indicator is built for non-repainting structure confirmation.
• Use it on higher timeframes for swing structure or lower timeframes for IDM entry precision.
• Works best with clean price action charts (no cluttered oscillators or extra visuals).
⸻
💡 Recommended Use Cases
✅ SMC traders
✅ ICT/Order Block strategy users
✅ Liquidity and market structure traders
✅ Scalpers and swing traders using BoS/CHoCH logic
⸻
✍️ Author
Developed by PURNA SAMPATH KALUARACHCHI (PSK FX)
Smart Money Concepts researcher and price structure developer.
⸻
TrendViz - Smart Money ConceptsTrendViz – Smart Money Concepts
See structure, liquidity, and institutional footprints in real time.
Overview
Trend Viz – Smart Money Concepts is a comprehensive SMC toolkit that fuses market-structure (BOS / CHoCH), volumetric order blocks, fair-value gaps (FVG / Breakers), Swing Failure Patterns (SFP), equal highs / lows, and liquidity zones into one clean, on-chart visualization.
It’s designed for intraday precision (0DTE / indices) and swing confluence, with windowed processing for performance on large histories.
Key Capabilities
Market Structure Engine – Detects BOS / CHoCH with adjustable swing length, “Extreme vs Adjusted Points” logic, optional trend-based candle coloring, sweep marks, and labeled lines / bubbles.
Volumetric Order Blocks – Builds bullish / bearish OBs (including breaker blocks), mitigation methods (Close / Wick / Avg), overlap control, mid-line, and activity split (buy vs sell) with per-OB volume metrics.
Fair Value Gaps (FVG & Breakers) – Auto-detects FVGs, mitigations, optional extension, mid-lines, overlap filtering, and raid marking.
Swing Failure Pattern (SFP) – Volume-aware SFPs, directional filters (Trend-Following / Counter-Trade), deviation projections (levels + optional fill).
Equal Highs / Lows & Liquidity Concepts – Marks EQH / EQL across multiple horizons, buyside / sellside zones (area or line), liquidity prints on candles, and sweep zones after BOS / CHoCH.
Performance-First Design – Window size limits structure computations; configurable max objects; overlap suppression reduces clutter.
Inputs & Settings
Market Structure – Window size, Swing limit, Candle coloring, Text size, Algorithmic mode, Swing length, Strong/Weak HL, Sweeps, Bubbles, Mapping.
Volumetric Order Blocks – Show Last N blocks, Breakers, Construction mode, ATR length, Mitigation method, Metrics + Mid-line, Hide Overlap.
Fair Value Gap / Breakers – Enable mode, Show Last N, Threshold, Mid-line + Extension, Hide Overlap, Raid Display.
Swing Failure Pattern (SFP) – Count, Deviation Area, Colors, Filtering mode (Trend / Counter), Volume threshold, Label size.
Liquidity Concepts – Equal H&L scope, Liquidity prints, Buyside/Sellside zones (area or line), Sweep Area threshold.
How to Use It
Quick Start
Add the indicator to your chart → leave defaults.
For 0DTE / intraday use 1 – 5 min timeframes; for swing use 1H – 4H.
Turn on Color Candles to see bullish / bearish bias.
Enable Order Blocks (Show Last 5 – 10) and FVG (3 – 5) with Mitigation = Wick.
Activate SFP with Volume Threshold ≈ 0.5 – 1.0 and Trend-Following filter.
Core Workflows
Trend-Continuation Entry – Wait for CHoCH → BOS alignment → FVG mitigation or OB mid-line retest.
Reversal Entry – Opposing CHoCH + sweep (x) + fresh OB confirmation.
Liquidity Sweep Fade – Raid EQH/EQL + SFP (Counter-Trade) → target prior FVG or opposite OB.
0DTE / Index Checklist
Timeframe 1–5 min · Adjusted Points · mslen = 3–5.
OB Show Last = 5–10 · Mitigation = Wick · Hide Overlap = Recent.
FVG Show = 3–5 · Threshold = 0.1–0.3.
SFP Trend-Following for momentum, Counter-Trade for range.
Trade only after CHoCH → BOS alignment near OB / FVG.
Tips & Behavior
Confirmation / Repainting – Structure anchors confirm after right bars; no repaint once locked.
Performance – Reduce Window size, counts, and overlaps for speed.
Clutter Control – Hide Overlap, limit count, prefer mid-lines over fills.
Mitigation Choice – Wick (strict), Close (lenient), Avg (balanced).
Alerts – Not included by default (visual tool only).
Example Setups
Momentum Pullback – After BOS up, FVG fill + OB reclaim = entry.
Liquidity Sweep Fade – EQH raid + bear SFP = fade to prior FVG.
Breaker Flip – Mitigated OB turns breaker; trade retest.
Disclaimer
This indicator is for educational and analytical purposes only.
Not financial advice. Backtest and apply proper risk management before using live.
Tags
#SmartMoneyConcepts #OrderBlocks #BOS #CHoCH #FVG #Breakers #SFP #Liquidity #EQH #EQL #0DTE #SPX #MarketStructure #TrendViz #TradingView
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move.
🔵 How to Use
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
🔵 Settings
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 20 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
🔵 Conclusion
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
MK_OSFT-Momentum Confluence DetectorMOMENTUM CONFLUENCE DETECTOR - Trading Indicator Overview
What This Indicator Does
The Momentum Confluence Detector is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities by detecting momentum bars that align with multiple confluence factors. It combines traditional technical analysis with advanced Smart Money Concepts to filter out noise and highlight the most significant price movements.
CORE FUNCTIONALITY
📊 Momentum Bar Detection Identifies unusual volume and bar size expansion using customizable multipliers
Detects bullish, bearish, and neutral momentum bars based on OHLC relationships
Uses moving averages to establish baseline volume and bar size thresholds
🔄 Multi-Filter Confluence System
The indicator employs up to 5 different filter types to validate momentum signals:
Level Concept Filter - Choose between:
- Support/Resistance Levels : Traditional pivot-based S/R zones with touch counting and break tracking
- Smart Money Concepts : Institutional order flow analysis including Order Blocks, Fair Value Gaps (FVGs), and market structure breaks
Trend Filter : EMA/SMA-based trend direction confirmation with alignment requirements
Breakout Filter : Detects price breakouts beyond recent highs/lows with percentage thresholds
Volatility Filter : ATR expansion confirmation to ensure signals occur during active market conditions
Market Session Filter : Filters signals to specific trading sessions (Tokyo, London, New York)
ADVANCED FEATURES
🎯 Smart Money Concepts Integration
Order Blocks : Identifies institutional supply/demand zones from major and minor structure breaks
Fair Value Gaps (FVGs) : Detects price imbalances and tracks their evolution through partial fills and inversions
Market Structure : Recognizes Break of Structure (BOS) and Change of Character (CHoCH) patterns
Retracement Patterns : Tracks HLH (Higher-Low-Higher) and LHL (Lower-High-Lower) institutional patterns
📈 Support/Resistance System
Multi-timeframe pivot detection (3, 5, 7-bar spans)
Volume-weighted strength calculation for level importance
Dynamic level merging and break tracking
Automatic level type classification (Support/Resistance/Flip zones)
⚙️ Intelligent Filtering Logic
ALL Mode : Requires all enabled filters to pass (high precision)
ANY Mode : Requires at least one filter to pass (higher frequency)
Real-time filter status tracking and visualization
Visual Features
Signal Markers : Clear triangular markers for qualified momentum bars
Unfiltered Signals : Optional display of raw momentum bars for comparison
Level Visualization : Dynamic S/R level boxes and lines with strength indicators
Structure Lines : BOS/CHoCH break visualization with major/minor classification
Fair Value Gaps : Color-coded boxes showing bullish/bearish FVGs with partial fill tracking and IFVG conversion
Order Blocks : Institutional supply/demand zones displayed as colored boxes with major/minor classification
Information Table : Real-time display of signal details and filter status
Session Boxes : Visual representation of active trading sessions
Practical Applications
✅ Swing Trading : Identify high-probability reversal and continuation setups
✅ Day Trading : Spot intraday momentum shifts with institutional backing
✅ Multi-Timeframe Analysis : Combine major and minor structure analysis
✅ Risk Management : Filter out low-quality setups using confluence requirements
✅ Educational : Understand market structure and institutional order flow
Customization Options
Adjustable momentum thresholds for different market conditions
Comprehensive filter settings with individual enable/disable controls
Visual customization for colors, sizes, and display preferences
Alert system with detailed signal information
Performance optimization settings for different chart timeframes
Who Should Use This Indicator
This indicator is suitable for traders who:
Want to combine multiple technical analysis approaches
Seek to understand institutional market behavior
Prefer confluence-based trading setups
Need customizable filtering for different market conditions
Value comprehensive signal validation over high-frequency alerts
The Momentum Confluence Detector transforms complex market analysis into clear, actionable signals by requiring multiple forms of confirmation before highlighting trading opportunities.
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ)
The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations.
What it is?
EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles.
Purpose and originality (not a mashup)
Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols.
Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators.
Why a trader might use EPZ
EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to:
Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening.
Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds.
Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ.
Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction.
Components and how they're combined
Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume).
Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score.
Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles.
Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes.
Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts
Context-aware weighting:
Higher volatility → more PRV weight
Trendiness up (RSI of ATR > 25) → more MCD weight
Relative volume > 1.2x → more PDI weight
SMF holds a stable weight
The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline.
What makes EPZ stand out
Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds.
Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too.
Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion.
Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead.
Recommended markets and timeframes
Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH).
Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes).
Use caution on illiquid or very low TFs where wick/volume geometry is erratic.
Logic and thresholds
MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish.
Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35).
Adaptive thresholds (optional):
thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity)
thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity)
Extreme detection
High: MPO ≥ thrHigh with peak/slope or crossover filter.
Low: MPO ≤ thrLow with trough/slope or crossover filter.
Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone.
Confirmation
"Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting).
Divergences
Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot).
MTF
HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected.
Inputs and defaults (key ones)
Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF.
Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny.
Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON.
Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart.
Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60.
Dashboard: what each element means
Header: EPZ ANALYSIS.
Large readout: Current MPO; color reflects state (extreme, approaching, or neutral).
Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish".
HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close.
Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only.
Thresholds: Current thrHigh/thrLow (static or adaptive).
Components: ASCII bars + values for PRV, MCD, PDI, SMF.
Market metrics: Volume Ratio (x) and ATR% of price.
Strength: Bar indicator of |MPO − 50| × 2.
Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability.
How to read the oscillator
MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure".
Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup.
Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart.
Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting.
Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes.
Zones: Warning bands near extremes; Extreme zones beyond thresholds.
Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure.
Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown.
Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON.
Histogram: Distance from neutral (50); highlights strengthening or weakening pressure.
Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low.
Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning.
A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure.
Alerts
EPZ: Extreme Context — fires on confirmed extremes (respects cooldown).
EPZ: Approaching Threshold — fires in warning zones if no extreme.
EPZ: Divergence — fires on confirmed pivot divergences.
Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint.
Practical usage ideas
Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes.
Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits.
Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels.
MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise.
Examples
Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims.
Example 1 — BTCUSDT, 1h — E Low
MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only.
Example 2 — ETHUSD, 30m — E High
A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only.
Known limitations and caveats
The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON.
HTF values settle at the close of the HTF bar.
Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing.
Prediction line (when enabled) is a visual extrapolation only.
For coders
Pine v6. MTF via request.security with lookahead_off.
Extremes include crossover triggers so static thresholds also yield E High/E Low.
Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON.
Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs.
3D layering uses negative offsets purely for drawing depth (no lookahead).
Screenshot methodology:
To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
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! 🔥
Institutional MACD (Z-Score Edition) [VolumeVigilante]📈 Institutional MACD (Z-Score Edition) — Professional-Grade Momentum Signal
This is not your average MACD .
The Institutional MACD (Z-Score Edition) is a statistically enhanced momentum tool, purpose-built for serious traders and breakout hunters . By applying Z-Score normalization to the classic MACD structure, this indicator uncovers statistically significant momentum shifts , enabling cleaner reads on price extremes, trend continuation, and potential reversals.
💡 Why It Matters
The classic MACD is powerful — but raw momentum values can be noisy and relative , especially on volatile assets like BTC/USD . By transforming the MACD line, signal line, and histogram into Z-scores , we anchor these signals in statistical context . This makes the Institutional MACD:
✔️ Timeframe-agnostic and asset-normalized
✔️ Ideal for spotting true breakouts , not false flags
✔️ A reliable tool for detecting momentum divergence and exhaustion
🧪 Key Features
✅ Full Z-Score normalization (MACD, Signal, Histogram)
✅ Highlighted ±Z threshold bands for overbought/oversold zones
✅ Customizable histogram coloring for visual momentum shifts
✅ Built-in alerts for zero-crosses and Z-threshold breaks
✅ Clean overlay with optional display toggles
🔁 Strategy Tip: Mean Reversion Signals with Statistical Confidence
This indicator isn't just for spotting breakouts — it also shines as a mean reversion tool , thanks to its Z-Score normalization .
When the Z-Score histogram crosses beyond ±2, it marks a statistically significant deviation from the mean — often signaling that momentum is overstretched and the asset may be due for a pullback or reversal .
📌 How to use it:
Z > +2 → Price action is in overbought territory. Watch for exhaustion or short setups.
Z < -2 → Momentum is deeply oversold. Look for reversal confirmation or long opportunities.
These zones often precede snap-back moves , especially in range-bound or corrective markets .
🎯 Combine Z-Score extremes with:
Candlestick confirmation
Support/resistance zones
Volume or price divergence
Other mean reversion tools (e.g., RSI, Bollinger Bands)
Unlike the raw MACD, this version delivers statistical thresholds , not guesswork — helping traders make decisions rooted in probability, not emotion.
📢 Trade Smart. Trade Vigilantly.
Published by VolumeVigilante
Market Structure Inducements ICT [TradinFinder] CHoch BOS Sweeps🔵 Introduction
Market Structure is the foundation for identifying trends in the market, crucial in technical analysis and strategies like ICT and SMC. Understanding key concepts such as Break of Structure (BOS) and Change of Character (CHOCH) helps traders recognize critical shifts in the market. BOS, referring to a Market Structure Change (BMS), and CHOCH or Market Structure Shift (MSS) signal trend reversals in the market.
Additionally, the concept of Inducement, a vital tool in Smart Money strategies, allows traders to avoid price traps. Identifying valid pullback, valid inducement, POI, and Liquidity Grab helps traders find optimal entry and exit points and leverage Smart Money movements effectively.
Bullish Market Structure :
Bearish Market Structure :
🔵 How to Use
The Market Structure indicator is designed to help traders better understand market structure and detect price traps. By using this indicator, you can identify the right entry and exit points based on structural changes in the market and avoid unprofitable trades. Below, we explain the key concepts and how to apply them in trading.
🟣 Market Structure
Market Structure refers to the overall pattern of price movement in the market. Using this indicator, traders can identify uptrends and downtrends and make better trading decisions based on changes in market structure. The two key concepts here are Break of Structure (BOS) and Change of Character (CHOCH).
Change of Character (CHOCH) : CHOCH occurs when the market shifts from an uptrend to a downtrend or vice versa. These changes typically indicate a broader trend reversal, and the indicator assists you in identifying them accurately.
Break of Structure (BOS) : When the market breaks a key support or resistance level, it signals a change in market structure. This indicator helps you identify these breakouts in time and take advantage of trading opportunities.
🟣 Inducement
Inducement refers to price traps set by Smart Money to trick retail traders into making the wrong trades. This indicator helps you recognize these traps and avoid unprofitable trades.
Valid Inducement : Valid Inducement refers to deliberately created price traps by major market players to gather liquidity from retail traders. Once the market has collected sufficient liquidity, it makes the real move, and professional traders use this moment to enter.
🟣 Valid Pullback
A Valid Pullback refers to a temporary market retracement, indicating a price correction within the main trend. This concept is crucial in technical analysis as it helps traders enter trades at the right time and profit from the continuation of the trend. The Market Structure indicator can identify these valid retracements, allowing traders to enter trades with greater confidence.
🟣 Point of Interest (POI)
Another important concept in market analysis is the Point of Interest (POI), referring to key price areas on the chart. POI includes zones where significant price movements are likely to occur. The Market Structure indicator helps you locate these key points and use them as entry signals for trades.
🟣 Liquidity Grab
Liquidity Grab refers to a scenario where the market intentionally moves to areas where retail traders' stop losses are placed. The goal is to gather liquidity, allowing major players to execute trades at better prices. By using this indicator, you can spot these liquidity grabs and avoid falling into price traps.
🔵 Setting
ChoCh Detector Period : The period of identifying the major market levels that occur when they break ChoCh.
BoS & Liquidity Detector Period : The period of identifying minor levels, which are used to identify BoS and Liquidity levels.
Inducement Detector Period : The period of identification of Inducement levels.
Fast Trend Detector : This feature will help you update the major market structure levels sooner.
Inducement Type Detector : Two modes "Sweeps" and "Total" can be used to identify the levels of Inducement. In "Sweeps" mode only Levels detected by touch shadow. In "Total" mode, all Levels are detected.
🔵 Conclusion
In financial market analysis and forex trading, identifying Market Structure and Inducement is crucial. Market Structure helps you detect uptrends and downtrends, and understand Break of Structure (BOS) and Change of Character (CHOCH). The concept of Inducement also enables traders to spot Smart Money price traps and avoid unprofitable trades.
The Market Structure indicator is a powerful tool that, by analyzing the market structure and concepts like valid pullback and valid inducement, helps you make more precise trade entries. Additionally, by identifying POI and Liquidity Grab, the indicator gives you the ability to spot key market zones and use them to your advantage in trading.
ICSM (Impulse-Correction & SCOB Mapper) [WinWorld]DESCRIPTION
ICSM (Impulse-Correction SCOB Mapper) is the indicator that analyzes the price movement and identifies valid impulses, corrections and SCOBs. It is a powerful tool that can be used with any type of technical analysis because it's flexible, informative, easy to use and it does substantially improve trader's awareness of the most liquid zones of interest.
SETTINGS
General | Visuals
Colour theme — defines the colour theme of the ICSM.
SCOB | Visuals
Show SCOB — enables/disables SCOB;
Mark SCOB with — represents a list of style options for SCOB representation;
SCOB colour — defines the colour of the SCOB;
ICM | Visuals
Show ICM lines — enables/disables ICM (Impulse-Correction Mapper) lines;
Show IC trend — enables/disables visualization of impulse-correction trend via coloured divider at the bottom of the chart;
Line colour — defines the colour of the ICM lines;
Line style — defines the style of the ICM lines;
Alerts
ICM — enables/disables alert for breaking ICM lines;
SCOB — enables/disables alert for SCOB creation;
ICM+SCOB — enables/disables alert for SCOB occurance at the end of the single impulse/correction, which grabs ICM line's liquidity.
ICM+SCOB (same candle) — enables/disables alert for SCOB occurance at the candle, which grabs ICM line's liquidity.
IMPORTANT CONCEPTS
In order to fully understand what ICSM can do, let's do a quick overview of the most important concepts that this indicator is built on.
By ICM we mean the liquidity grabbing of Impulse-Correction Mapper's lines (ICM lines; represented as dashed horizontal lines on the chart ). Saying shortly, liquidity grabs of ICM lines posses great opportunities for finding great entries.
SCOB (Single Candle Order Block) builds up by 3 simple rules:
Previous candle's liquidity is grabbed;
Current candle closes inside previous candle;
Imbalance occurs on the next candle.
SCOB is a quite useful zone of interest, from which the price usually reverses. You can also use SCOB as POI* on HTF** or as entry zone on LTF***.
* POI — Point Of Interest
* HTF — Higher TimeFrame
* LTF — Lower TimeFrame
"ICM+SCOB" is a short name that we use for event, at which price first grabs the liquidity from ICM line and then creates a SCOB at the same impulse/correction movement ( on the same ICM line, that does the liquidity grab ). Usually the SCOB that occurs after this event represents a highly liquid zone of interest , which should be considered when choosing entry level.
"ICM+SCOB (same candle)" is basically the same as "ICM+SCOB" event but with one major difference — the candle, which grabs the liquidity of ICM line, is also the candle at which the SCOB occurs, making such SCOB an even better zone of interest than a regular SCOB from ICM+SCOB event.
BIGGEST ADVANTAGES
ICSM precisely identifies impulses and corrections. Huge load of indicators on the TradingView does only show the simplest zones of interests, while ICSM uses our team's signature algorithms to precisely identify true impulses and corrections in the market, allowing traders to see both local and global price direction better and at the same time providing traders with the most liquid zones of interest;
ICSM shows points of interest and liquidity. The indicator identifies the nearest points of interest and zones, where the liquidity is concentrated, allowing you to find great entry and exit points for your trades;
ICSM has SCOB (Single Candle Order Block) detection function. ICM is packed with the extremely useful in SMC trading SCOB detetction feature, which allows you find even more solid points of interest;
ICSM has super minimalistic design, which contains only the things you really need. Your chart will not be overloaded with unnecessary information. You will only see clear points of interest, liquidity and price movement.
WHY SHOULD YOU USE IT?
As was said above, ICSM allows you to see the most profitable points and zones of interest, which professional SMC traders consider as one of the best in the market, because they are historically the areas from which the price bounces the most, allowing the smartest traders to get quick an clean profits with low drawdown.
In the ICSM indicator these zones are SCOB and ICM line liquidity grabs. By using these zones of interest to find entry points, you increase the chance to open a trade at the most lucrative price and reduce trading risks.
Considering what was said above, this indicator can help traders reduce drawdown risks and increase potential profits simply by showing the most liquid zones of interest, which are perfect for opening a trading position.
Here are some of the examples of how you leverage ICSM in your trading process:
Example of the short trade:
Price shows overall short trend. Trend liquidity is being formed.
Price grabs liduiqity from three ICM lines in a row and then creates a long SCOB at the end of 3rd liquidity grab.
SCOB, which occured at the end of ICM line, represents much stronger zone of interest than a regular SCOB. In this case it represents a zone, which we will use to find an entry.
The entry for the trade will be SCOB candle's low, stop-loss target should be put above SCOB candle's high. Our take-profit target is trend liquidity. See the screenshot above for better understanding.
▼ Now let's see the long trade example. ▼
Example of the long trade:
Price creates trend liquidity by showing equal highs ( EQH ).
Price grabs liduiqity from four ICM lines in a row and then creates a long SCOB at the end of 4th liquidity grab.
Again: SCOB, which occured at the end of ICM line, represents much stronger zone of interest than a regular SCOB. In this case it represents a zone, which we will use to find an entry.
The entry for the trade will be SCOB candle's high, stop-loss target should be put below SCOB candle's low. Our take-profit target is EQH. See the screenshot above for better understanding.
ALERTS
ICSM provides simple and easy alert customization, allwoing to choose only the alerts you want to receive. You can choose from the following alert options:
ICM — impulse or correction liquidity grab;
SCOB — SCOB is formed, wether or not the liquidity is grabbed from the impulse or correction;
SCOB+ICM — SCOB is formed after grabbing the liquidity of the ICM line;
SCOB+ICM (same candle) — SCOB is formed in the liquidity area of the impulse or correction.
HOW CAN I GET THE MOST OUT OF IT?
ICSM displays only the first liquidity of an impulse or correction, which matches the IDM (Inducement) in the Advanced SMC strategy . This strategy is completely covered in the World Class SMC indicator and is available for free for PDF in three parts.
You can also ICSM with any other strategy, because ICSM is a very flexible indicator and will help anyone improve their trading by making one aware of the high-quality liquidity on the chart.
Let's see how you can leverage ICSM with our World Class SMC indicator and other different strategies:
Example of the long & short trades with World Class SMC.
Long (1-3):
Price reached previous OB-EXT . This is the first sign for the potential price reversal;
ICM+SCOB happened after price reached OB-EXT;
After that, you can need to look for an entry on LTF. If you don't know how to do it, you can refer to our education materials.
Short (4-6):
Price reached OB-IDM , which is also a great sign for a potential upcoming price reversal;
ICM+SCOB occured after liquidity grab of the previous SCOB. This fact does strengthen the probability of the potential upcoming price reversal;
Now you need to switch to LTF and find an entry there.
Example of the short trade with simple Fibonacci retracement strategy.
Price grabs the liquidity of the ICM lines three times in a row, forming SCOB after the 3rd grab;
Price performs correctional move down without testing the SCOB, leaving no entry opportunity by our initial strategy, so we can add another strategy — Fibonacci retracement from 0.618 level — to our analysis in order to find an entry ;
We use Fibonacci grid with our initial strategy to find the best POI, that will align with the trend direction and will eventually become our entry point.
SUMMARY
ICSM is a unique indicator that indentifies zones and points of interests with high-quiality liquidity and can be both a stand-alone tool and can be integrated into any other strategy to increase the efficiency of analysis, accuracy of trading entries and reduce trading risks.
If you want to learn the SMC strategies that our team uses in our products, you can refer to our educational materials.
We hope that you will find a great use of ICSM and it will help you improve your perfomance as a trader. Best of luck, traders!
— with love, WinWorld Team
RunRox - Backtesting System (ASMC)Introducing RunRox - Backtesting System (ASMC), a specially designed backtesting system built on the robust structure of our Advanced SMC indicator. This innovative tool evaluates various Smart Money Concept (SMC) trading setups and serves as an automatic optimizer, displaying which entry and exit points have historically shown the best results. With cutting-edge technology, RunRox - Backtesting System (ASMC) provides you with effective strategies, maximizing your trading potential and taking your trading to the next level
🟠 HOW OUR BACKTESTING SYSTEM WORKS
Our backtesting system for the Advanced SMC (ASMC) indicator is meticulously designed to provide traders with a thorough analysis of their Smart Money Concept (SMC) strategies. Here’s an overview of how it works:
🔸 Advanced SMC Structure
Our ASMC indicator is built upon an enhanced SMC structure that integrates the Institutional Distribution Model (IDM), precise retracements, and five types of order blocks (CHoCH OB, IDM OB, Local OB, BOS OB, Extreme OB). These components allow for a detailed understanding of market dynamics and the identification of key trading opportunities.
🔸 Data Integration and Analysis
1. Historical Data Testing:
Our system tests various entry and exit points using historical market data.
The ASMC indicator is used to simulate trades based on predefined SMC setups, evaluating their effectiveness over a specified time period.
Traders can select different parameters such as entry points, stop-loss, and take-profit levels to see how these setups would have performed historically.
2. Entry and Exit Events:
The backtester can simulate trades based on 12 different entry events, 14 target events, and 14 stop-loss events, providing a comprehensive testing framework.
It allows for testing with multiple combinations of entry and exit strategies, ensuring a robust evaluation of trading setups.
3. Order Block Sensitivity:
The system uses the sensitivity settings from the ASMC indicator to determine the most relevant order blocks and fair value gaps (FVGs) for entry and exit points.
It distinguishes between different types of order blocks, helping traders identify strong institutional zones versus local zones.
🔸 Optimization Capabilities
1. Auto-Optimizer:
The backtester includes an auto-optimizer feature that evaluates various setups to find those with the best historical performance.
It automatically adjusts parameters to identify the most effective strategies for both trend-following and counter-trend trading.
2. Stop Loss and Take Profit Optimization:
It optimizes stop-loss and take-profit levels by testing different settings and identifying those that provided the best historical results.
This helps traders refine their risk management and maximize potential returns.
3. Trailing Stop Optimization:
The system also optimizes trailing stops, ensuring that traders can maximize their profits by adjusting their stops dynamically as the market moves.
🔸 Comprehensive Reporting
1. Performance Metrics:
The backtesting system provides detailed reports, including key performance metrics such as Net Profit, Win Rate, Profit Factor, and Max Drawdown.
These metrics help traders understand the historical performance of their strategies and make data-driven decisions.
2. Flexible Settings:
Traders can adjust initial balance, commission rates, and risk per trade settings to simulate real-world trading conditions.
The system supports testing with different leverage settings, allowing for realistic assessments even with tight stop-loss levels.
🔸 Conclusion
The RunRox Backtesting System (ASMC) is a powerful tool for traders seeking to validate and optimize their SMC strategies. By leveraging historical data and sophisticated optimization algorithms, it provides insights into the most effective setups, enhancing trading performance and decision-making.
🟠 HERE ARE THE AVAILABLE FEATURES
Historical backtesting for any setup – Select any entry point, exit point, and various stop-loss options to see the results of your setup on historical data.
Auto-optimizer for finding the best setups – The indicator displays settings that have shown the best results historically, providing valuable insights.
Auto-optimizer for counter-trend setups – Discover entry and exit points for counter-trend trading based on historical performance.
Auto-optimizer for stop-loss – The indicator shows stop-loss points that have been most effective historically.
Auto-optimizer for take-profit – The indicator identifies take-profit points that have performed well in historical trading data.
Auto-optimizer for trailing stop – The indicator presents trailing stop settings that have shown the best historical results.
And much more within our indicator, all of which we will cover in this post. Next, we will showcase the possible entry points, targets, and stop-loss options available for testing your strategies
🟠 ENTRY SETTINGS
12 Event Triggers for Trade Entry
Extr. ChoCh OB
Extr. ChoCh FVG
ChoCh
ChoCh OB
ChoCh FVG
IDM OB
IDM FVG
BoS FVG
BoS OB
BoS
Extr. BoS FVG
Extr. BoS OB
3 Trade Direction Options
Long Only: Enter long positions only
Short Only: Enter short positions only
Long and Short: Enter both long and short positions based on trend
3 Levels for Order Block/FVG Entries
Beginning: Enter the trade at the first touch of the Order Block/FVG
Middle: Enter the trade when the middle of the Order Block/FVG is reached
End: Enter the trade upon full filling of the Order Block/FVG
*Three levels work only for Order Blocks and FVG. For trade entries based on BOS or CHoCH, these settings do not apply as these parameters are not available for these types of entries
You can choose any combination of trade entries imaginable.
🟠 TARGET SETTINGS
14 Target Events, Including Fixed % and Fixed RR (Risk/Reward):
Fixed - % change in price
Fixed RR - Risk Reward per trade
Extr. ChoCh OB
Extr. ChoCh FVG
ChoCh
ChoCh OB
ChoCh FVG
IDM OB
IDM FVG
BoS FVG
BoS OB
BoS
Extr. BoS FVG
Extr. BoS OB
3 Levels of Order Block/FVG for Target
Beginning: Close the trade at the first touch of your target.
Middle: Close the trade at the midpoint of your chosen target.
End: Close the trade when your target is fully filled.
Customizable Parameters
Easily set your Fixed % and Fixed RR targets with a user-friendly input field. This field works only for the Fixed and Fixed RR entry parameters. When selecting a different entry point, this field is ignored
Choose any combination of target events to suit your trading strategy.
🟠 STOPLOSS SETTINGS
14 Possible StopLoss Events Including Entry Orderblock/FVG
Fixed - Fix the loss on the trade when the price moves by N%
Entry Block
Extr. ChoCh OB
Extr. ChoCh FVG
ChoCh
ChoCh OB
ChoCh FVG
IDM OB
IDM FVG
BoS FVG
BoS OB
BoS
Extr. BoS FVG
Extr. BoS OB
3 Levels for Order Blocks/FVG Exits
Beginning: Exit the trade at the first touch of the order block/FVG.
Middle: Exit the trade at the middle of the order block/FVG.
End: Exit the trade at the full completion of the order block/FVG.
Dedicated Field for Setting Fixed % Value
Set a fixed % value in a dedicated field for the Fixed parameter. This field works only for the Fixed parameter. When selecting other exit parameters, this field is ignored.
🟠 ADDITIONAL SETTINGS
Trailing Stop, %
Set a Trailing Stop as a percentage of your trade to potentially increase profit based on historical data.
Move SL to Breakeven, bars
Move your StopLoss to breakeven after exiting the entry zone for a specified number of bars. This can enhance your potential WinRate based on historical performance.
Skip trade if RR less than
This feature allows you to skip trades where the potential Risk-to-Reward ratio is less than the number set in this field.
🟠 EXAMPLE OF MANUAL SETUP
For example, let me show you how it works on the chart. You select entry parameters, stop loss parameters, and take profit parameters for your trades, and the strategy automatically tests this setup on historical data, allowing you to see the results of this strategy.
In the screenshot above, the parameters were as follows:
Trade Entry: CHoCH OB (Beginning)
Stop Loss: Entry Block
Take Profit: Break of BOS
The indicator will automatically test all possible trades on the chart and display the results for this setup.
🟠 AUTO OPTIMIZATION SETTINGS
In the screenshot above, you can see the optimization table displaying various entry points, exits, and stop-loss settings, along with their historical performance results and other parameters. This feature allows you to identify trading setups that have shown the best historical outcomes.
This functionality will enhance your trading approach, providing you with valuable insights based on historical data. You’ll be aware of the Smart Money Concept settings that have historically worked best for any specific chart and timeframe.
Our indicator includes various optimization options designed to help you find the most effective settings based on historical data. There are 5 optimization modes, each offering unique benefits for every trader
Trend Entry - Optimization of the best settings for trend-following trades. The strategy will enter trades only in the direction of the trend. If the trend is upward, it will look for long entry points and vice versa.
Counter Trend Entry - Finding setups against the trend. If the trend is upward, the script will search for short entry points. This is the opposite of trend entry optimization.
Stop Loss - Identifying stop-loss points that showed the best historical performance for the specific setup you have configured. This helps in finding effective exit points to minimize losses.
Take Profit - Determining targets for the configured setup based on historical performance, helping to identify potentially profitable take profit levels.
Trailing Stop - Finding optimal percentages for the trailing stop function based on historical data, which can potentially increase the profit of your trades.
Ability to set parameters for auto-optimization within a specified range. For example, if you choose FixRR TP from 1 to 10, the indicator will automatically test all possible Risk Reward Take Profit variations from 1 to 10 and display the results for each parameter individually.
Ability to set initial deposit parameters, position commissions, and risk per trade as a fixed percentage or fixed amount. Additionally, you can set the maximum leverage for a trade.
There are times when the stop loss is very close to the entry point, and adhering to the risk per trade values set in the settings may not allow for such a loss in any situation. That’s why we added the ability to set the maximum possible leverage, allowing you to test your trading strategy even with very tight stop losses.
Duplicated Smart Money Structure settings from our Advanced SMC indicator that you can adjust to match your trading style flexibly. All these settings will be taken into account during the optimization process or when manually calculating settings.
Additionally, you can test your strategy based on higher timeframe order blocks. For example, you can test a strategy on a 1-minute chart while displaying order blocks from a 15-minute timeframe. The auto-optimizer will consider all these parameters, including higher timeframe order blocks, and will enter trades based on these order blocks.
Highly flexible dashboard and results optimization settings allow you to display the tables you need and sort results by six different criteria: Profit Factor, Profit, Winrate, Max Drawdown, Wins, and Trades. This enables you to find the exact setup you desire, based on these comprehensive data points.
🟠 ALERT CUSTOMIZATION
With this indicator, you can set up buy and sell alerts based on the test results, allowing you to create a comprehensive trading strategy. This feature enables you to receive real-time signals, making it a powerful tool for implementing your trading strategies.
🟠 STRATEGY PROPERTIES
For backtesting, we used realistic initial data for entering trades, such as:
Starting balance: $1000
Commission: 0.01%
Risk per trade: 1%
To ensure realistic data, we used the above settings. We offer two methods for calculating your order size, and in our case, we used a 1% risk per trade. Here’s what it means:
Risk per trade: This is the maximum loss from your deposit if the trade goes against you. The trade volume can change depending on your stop-loss distance from the entry point. Here’s the formula we use to calculate the possible volume for a single trade:
1. quantity = percentage_risk * balance / loss_per_1_contract (incl. fee)
Then, we calculate the maximum allowed volume based on the specified maximum leverage:
2. max_quantity = maxLeverage * balance / entry_price
3. If quantity < max_quantity, meaning the leverage is less than the maximum allowed, we keep quantity. If quantity > max_quantity, we use max_quantity (the maximum allowed volume according to the set leverage).
This way, depending on the stop-loss distance, the position size can vary and be up to 100% of your deposit, but the loss in each trade will not exceed the set percentage, which in our case is 1% for this backtest. This is a standard risk calculation method based on your stop-loss distance.
🔸 Statistical Significance of Trade Data
In our strategy, you may notice there weren’t enough trades to form statistically significant data. This is inherent to the Smart Money Concept (SMC) strategy, where the focus is not on the number of trades but rather on the risk-to-reward ratio per trade. In SMC strategies, it’s crucial to avoid taking numerous uncertain setups and instead perform a comprehensive analysis of the market situation.
Therefore, our strategy results show fewer than 100 trades. It’s important to understand that this small sample size isn’t statistically significant and shouldn’t be relied upon for strategy analysis. Backtesting with a small number of trades should not be used to draw conclusions about the effectiveness of a strategy.
🔸 Versatile Use Cases
The methods of using this indicator are numerous, ranging from identifying potentially the best-performing order blocks on the chart to creating a comprehensive trading strategy based on the data provided by our indicator. We believe that every trader will find a valuable application for this tool, enhancing their entry and exit points in trades.
Disclaimer
Past performance is not indicative of future results. The results shown by this indicator do not guarantee similar outcomes in the future. Use this tool as part of a comprehensive trading strategy, considering all market conditions and risks.
How to access
For access to this indicator, please read the author’s instructions below this post
SMC Market Structure (MTF)Introducing the Smart Money Concept Market Structure analysis indicator, a sophisticated tool designed to display the true market structure, in multiple timeframes. Inspired by Lewis Kelly's renowned strategy, this indicator offers a unique approach to defining market structure.
It's worth noting that the Smart Money Concept Market Structure analysis indicator employs Lewis Kelly's strategy for swing detection.
However, it differs from other scripts in the market that utilize alternative methods for swing detection.
Some of these alternative methods that are not used by this script (as it doesn't define market structure properly according to Lewis Kelly's rules):
- ignoring previous market swings. New swings are created inside the internal noise, as they don't need a close above or below previous swings.
- considering that a swing detection is a tops/bottoms with pivots (left, right) with HH/LL.
Any existing market structure script using any of the above will lead to a wrong Break of Structure or Change of character detection and may induce traders to wrongly take trades against the true trend (and lose their trades).
This is why none of the listed above is used here, and this distinction also offers traders a diverse range of options to suit their individual trading preferences and styles.
Here's the main principles of how it works that differentiate from other scripts:
- New Swings are detected only if the new candle closes above/below the previous swing.
- A pullback is detected after 3 (by default) candles going in the same direction, against the current trend. The pullback candles do not need to follow each other, but the count is reset when invalidated. The pullback invalidation strategy is not disclosed here.
Also, unlike most indicators out there, the Smart Money Concept Market Structure (MTF) is multi-timeframe, eliminating the need for traders to constantly switch between different timeframes or add additional indicators. This feature enhances efficiency and streamlines the analysis process, allowing traders to focus more on making informed decisions.
It's important to understand that this indicator is fundamentally based on price action and is not specifically designed to detect market manipulations. Therefore, it should be used in conjunction with your own analytical skills and expertise to derive optimal trading strategies.
While still in its development phase, the indicator may receive updates and new features in the future to further enhance its functionality and usability.
Some of these new features may also not be implemented by existing market structure scripts.
If you have any question or need for new features, please feel free to ask them.
Also, it is recommended to compare the results of this indicator and other existing ones to see which is the most suitable to your trading style.
In the meantime, Enjoy !
Market Structure (Intrabar) [LuxAlgo]The Market Structure (Intrabar) indicator is designed to automatically detect and highlight real-time intrabar market structures, a core component of the Smart Money Concepts methodology.
🔶 USAGE
The proposed indicator gives a detailed picture of the most recent candle lower timeframe trends, highlighting market structures within them.
This can be particularly useful to assess the price dynamic within the most recent candle. For example, we can see how pronounced a trend is by the number of opposite bullish/bearish market structures formed within the candle.
Users can select the intrabar timeframe of interest from the "Intrabar Timeframe" setting, using a timeframe significantly lower than the chart timeframe will return more intrabar candles and potentially more market structures.
🔹 Dashboard
Users have access to a dashboard returning useful statistics such as the number of formed CHoCH's and BOS's from the intrabar prices. These can be indicative of how predominant a trend is within the intrabar data or if there exist multiple trends.
🔶 DETAILS
Market structures allow determining trend continuations as well as trend reversals in the market through two distinct structures:
🔹 Change of Character (CHoCH)
A change of character (CHoCH) refers to a shift in the market behavior of a security that is driven by changes in the underlying supply and demand dynamics. CHoCH's are indicative of confirmed reversals.
🔹 Break of Structure (BoS)
The break of structure (BoS) refers to the point at which a key level of support or resistance is broken. BOS's are indicative of confirmed trend continuations.
🔶 SETTINGS
🔹Inside the Bar Market Structure
Intrabar Timeframe: Lower timeframe setting option, if set to 'Auto' the script will determine the lower timeframe based on the chart timeframe.
Intrabar Market Structure, Length: Toggles the visibility of the break of structures and change of characters. Length defines the detection length of the swing levels.
Intrabar Swing Levels: Toggles the visibility of the swing levels, including a color customization option for highs and lows.
Intrabar Statistics: Toggles the visibility of the dashboard. Some further statistical details are presented in the tooltips of the table cells
🔹 General
Market Structure Colors: Color customization option for the break of structure and change of character lines and labels.
Intrabar Candle Colors: Color customization option for intrabar candles.
Intrabar Candles Horizontal Offset: Adjusting the intrabar candles horizontal position
Dashboard: Dashboard position and size customization option
🔶 LIMITATIONS
Please note that seconds-based intervals are available for premium and professional plan holders, which implies that the seconds-based intervals usage of the indicator may not be available for all users depending on their subscription plan.
🔶 RELATED SCRIPTS
Smart-Money-Concepts
ICT-Concepts
TradesAI - Elite (Premium)This is an all-inclusive, premium indicator that focuses mainly on price action analysis, a form of looking at raw price data and market structure to analyze and capture areas of interest where price could react.
This indicator is a perfect trading companion that saves you a lot of time in trading price action. Some of the popular methods that use price action analysis are "Smart Money Concepts (SMC)", "Inner Circle Trader (ICT)", and "Institutional Trading".
🔶 POWERFUL TOOLS
The indicator combines three main tools as a trading suite:
Trendlines
Market Structure Breakouts (MSB)
Order Blocks (OBs) and Reversal Order Blocks (ROBs)
These 3 main tools are interconnected together. Below we go over each, and then explain how and why they are brought in together. Please also note that the indicator's settings have tooltips next to most of them, with more detailed information.
🔶 TRENDLINES
This indicator automatically draws the most relevant Trendlines from pivot high/pivot low (based on the defined settings) as origins, while keeping track of candle closes across these Trendlines to adjust or invalidate accordingly.
The indicator will draw all possible Trendlines up to the maximum allowed by TradingView's PineScript. It uses a bullish pivot high candle to draw downtrends, and a bearish pivot low candle to draw uptrends. The algorithm will draw the most suitable active Trendlines from those origin points.
The indicator takes the origin point as the first point of the Trendline, then starts looking for the immediate next same-type candle (bullish to bullish or bearish to bearish), to draw the Trendline between the origin candle and this newer candle.
An uptrend is a ray connecting two bearish candles, as long as the second candle has a Low higher than the low of the origin (first) candle. A downtrend is a ray connecting two bullish candles, as long as the second candle has a high lower than the high of the origin (first) candle.
Upon drawing, the indicator then starts monitoring and adjusting this Trendline, by keeping the origin always the same but changing the second point. The goal is to keep reducing the slope of the Trendline till it is at 0 degrees (horizontal line). That then makes the Trendline "final". Note that you have the option to keep all Trendlines or just show the final, in the settings.
So, the algorithm has three states for the Trendlines:
Initial: not tested, meaning price hasn't yet broken through it and closed a candle beyond it, to cause a re-adjustment of this Trendline.
Broken: a candle hard closed (opened and closed) across it but still, the direction of the trend is maintained with a new Trendline from the same origin – could be replaced (or kept on the chart as a "backside", which is what we call a broken Trendline to be tested from the opposite side) with a new Trendline from the same origin, to the newest candle that caused the break to happen, as then it becomes the new second point of that Trendline.
Final: a candle hard closed (opened and closed) across it and can't draw a new Trendline from the same origin maintaining the direction of the trend (so an uptrend becomes a downtrend or a downtrend becomes an uptrend at this point, which is not allowed). This marks the end of the Trendline adjustment for that origin.
To summarize the Trendlines algorithm, imagine starting from a candle and drawing the Trendline, then keep re-adjusting it to make its slope less and less, till it becomes a horizontal line. That's the final state.
Here is a step-by-step scenario to demonstrate the algorithm:
Notice how first an Uptrend (green ray) is drawn between point A origin pivot (picked by our smart algorithm) and point B, both marked by green arrows:
Uptrend then turned into backside (where it flips from diagonal support to resistance where liquidity potentially resides):
Then a new uptrend is drawn from the same point A origin pivot to a new point B matching the filters in settings.
Finally, it turns also into a backside and is considered final because no more uptrends could be drawn from the same point A origin point.
Unlike traditional Trendline tools, this indicator takes into account numerous rules for each candlestick to determine valid support and resistance levels, which act as liquidity zones.
Unlike conventional Trendline tools, this indicator allows the user to define the pivot point left and right length to capture the proper ones as origins, then automatically recognizes and extends lines from them as liquidity zones where a reaction is expected. Moreover, the indicator monitors those Trendlines in real-time to switch them from buying to selling zones, and vice-versa, as the price structure changes.
Features
Log vs. Linear scale switch to show different Trendlines accordingly. When updating the Trendlines, or deciding whether Touches/Hard Closes are met, it makes a difference.
Ability to show all forms of Trendlines, final Trendlines or just backside Trendlines.
Why is it used?
For experienced traders, it offers the advantage of time efficiency, while new traders can bypass the steep learning curve of drawing Trendlines manually, which could practically be drawn between any two candlesticks on the chart (many variations).
🔶 MARKET STRUCTURE BREAKOUT (MSB)
The Market Structure Breakouts (MSB) tool is a trading tool that detects specific patterns on trading charts and provides ‘take profit’ regions based on the extended direction of the identified pattern. A breakout is a potential trading opportunity that presents itself when an asset's price moves away from a zone of accumulation (i.e. above a resistance level or below a support level) on increasing volume. The most famous form of market structure breakout is double/triple tops/bottoms, or what is referred to as W or M breakouts.
See this example below of how our MSB smart algorithm picked the local bottom of INDEX:BTCUSD
Here is a step-by-step scenario to demonstrate the algorithm:
First, the algorithm picks the pivot points according to our Machine Learning (ML) model, which uses Average True Range (ATR) and Moving Averages of various types to decide. It will then signal a Market Structure Breakout (MSB):
You may either short (sell) this MSB towards the targets (dotted green lines) and/or buy (long) at the targets (dotted green lines). Usually, these targets provide scalp moves, according to our model, but they may also act as strong reversal points on the chart.
Unlike standard indicators, the MSB tool identifies patterns that may not appear in every time frame due to specific conditions that need to be met, including Average True Range (ATR) and Moving Averages at the time of creation. Once these patterns are identified, the tool gives ‘take profit’ regions in the direction of the trading pattern and even allows for trading in the opposite direction (contrarian/counter-trend scalps) once those regions are reached. A confirmed breakout has the potential to drive the price to these specific targets, calculated based on our Machine Learning (ML) model. The Targets are the measured moves placed from the breakout point.
Features
Log vs. Linear scale switch to show different MSBs accordingly based on the ratios.
Detects trading patterns with specific conditions.
Ability to specify how sensitive the pivot points are for capturing market structure breakouts.
Provides take profit regions in the extended direction of the pattern.
Allows for versatile trading styles by permitting trades in the opposite direction (contrarian or counter-trend) once the take profit region is reached.
Highlights 2 levels of interest for potential trade initiation (or as targets of the MSB move).
🔶 ORDER BLOCK (OB) and REVERSAL ORDER BLOCK (ROB)
Before diving deeper into OBs and ROBs, you may consider the following chart for a general understanding of price ladders, and how they break. This is a bearish price ladder leaving Lower Lows and Lower Highs after an initial Low and High (L->H->LL->LH). Bullish ladders are the opposite (H->L->HH->HL).
In this bearish ladder case, notice the numbers representing the highs made (being lower). While this is a clean structure, markets don't always create such clean ladders, but you may switch to a higher timeframe to see it in a clearer form (usually, you will be able to spot it there).
In SMC or ICT concepts, the "Break Of Structure (BOS)" is pretty much creating a new lower low (LL) for the bearish ladder (and the creation of a higher high (HH) for the bullish ladder). By doing so, markets are grabbing liquidity below these levels and could either continue the ladder or stop/flip it. This gives you the context of how the ladder prints.
Price usually ends the ladder with a "Change of Character (CHoCH)", which represents a BOS (to grab liquidity) followed by an aggressive move in the opposite direction, which could lead the market to close the gaps and balance out. It is considered a good practice to then target liquidity in the opposite direction when a CHoCH happens, meaning for a bearish ladder you may target the pivots marked by 3, 2 and 1 at the top (start of the ladder).
Now we move to Order Blocks (OBs) and Reversal Order Blocks (ROBs). Think of them as sniper zones or micro ladders inside the bigger ladder/structure.
Order Blocks are usually used as zones of support and resistance on a trading chart where liquidity is present, or what some traders call "potential institutional interest zones". Order Blocks can be observed at the beginning of these strong moves of BOS or the CHoCH, leaving behind a zone (one or more candles) to be revisited later to balance the market. Therefore, these are interesting levels to place Limit/Market orders (sell the peaks or buy the valleys) instead of doing so at the swing highs or swing lows of the ladder (where BOS or CHoCH happened). The idea here is that the price could go deep into the ladder's step (peak or valley), and by doing so, it usually goes to these zones.
A bullish Order Block (Valley-OB) is the last bearish candle of a downtrend before a sequence of bullish candles (thus forming a "Valley"). A bearish Order Block (Peak-OB) is the last bullish candle of an uptrend before a sequence of bearish candles (thus forming a "Peak"). Our indicator captures the full range zones of the OB meaning not only the last candle but the sequence of same-type candles immediately next to it, which creates a zone, thus the name "OB/ROB Zone". Not only does the tool mark those levels on the chart, but it also has a smart tracking algorithm to remove the appropriate levels dynamically. It will monitor, candle by candle, what is happening to all the OBs/ROBs, and update them according to how they are being tested/visited (eg. weak testing being a touch, and strong testing being a touch of the same colour candle).
Bullish Valley-OB:
Bearish Peak-OB:
The indicator follows our concept of "Zone Activation" to determine whether to mark zones with dashed or solid lines.
If we take a bearish Peak-OB as an example, notice how it first gets drawn with a dashed red line (as the algorithm monitors how far the price moved away from the zone):
As price moves away (distance based on our Machin Learning (ML) model), it turns into solid lines:
Some people prefer to enter market orders or limit (pending) orders close to the zone, while others wait for it to hit. You may wait for these zones to turn into solid lines (meaning that the price made a decent move away from it before revisiting it). It depends on your trading strategy.
When Order Block (OB) zones break instead of holding the ladder, they turn into what we call Reversal Order Blocks (ROB); our algorithm of flipping these zones where price could react from the other side of the OB. Our algorithm monitor and highlight the most suitable ones to trade, based on +30 conditions and variables by our Machine Learning (ML) models. Examples of ROBs in the SMC or ICT trading community are a "Breaker Block", a "Mitigation Block" or a "Unicorn Setup". However, our algorithm filters the zones based on many factors such as ratios of price movement before, inside and after these zones, along with many other factors.
The algorithm monitors the ratios of how price moved into and away from the OB/ROB, as well as the type of move happening, to then filter the ones that are considered of high probability to break/not do a reaction.
A bullish Valley-OB (green) turns into a bearish Valley-ROB (neon red) where you may short (sell), while a bearish Peak-OB (red) turns into a bullish Peak-ROB (neon green) where you may long (buy).
Example of a bullish Valley-OB that turned into a bearish Valley-ROB:
Features
Log vs. Linear scale switch to show OBs/ROBs accordingly based on the ratios and the price action around these zones (before and after creation).
Uses our Machine Learning (ML) model to determine relevant Order Blocks (OBs) to show or hide based on price action.
Considers distribution and accumulation candles to find relevant Order Blocks.
Various types of triggers to mark those Order Blocks and their zones: breakout, close, hard close (open and close) or full close (low, high, open and close).
Monitors the 1:1 expansion of price from key areas of interest, which would change the importance of the zones through our concept of “Zone Activation”.
Allows for customization in the settings to display different types of Order Blocks (e.g., tested or untested).
Marking and invalidating levels based on many variables, including single or multiple candle zones, touching/closing beyond specific levels, weak/strong testing criteria, price tolerance % (near a level), and many more.
Provides color-coded visual representation for easier interpretation.
Why is it used?
Order Blocks (OB) and Reversal Order Blocks (ROB) represent the building blocks of price ladders, in conjunction with Swing Highs and Swing Lows. By identifying where liquidity is potentially present, they become common targets for big market players. Additionally, they provide clear invalidation points based on various types of candle closes, such as hard closes or simply a candle close.
One strategy that could be used is to open positions at these OB or ROB Levels as long as the chart maintains the trend (ladder), for a potentially higher win rate (or against it for a quick scalp). Be mindful of the breaking of a ladder or the building of a new one. A ladder breaks with a hard close (open and close) of a candle across the closest two levels; a ladder builds by not breaking back down across the levels it has tested. By definition, strong ladders will have a few untested levels and come back to wick them but still retain the structure of the laddering direction (trending with Lower Lows + Lower Highs or Higher Lows + Higher Highs).
🔶 COMBINING ALL TOOLS
In summary, Trendlines could be great tools to give you a general context of whether the price is laddering up or down. Once you spot the ladder, your goal is to either trade in its direction (not to go against the trend) or to counter-trend trade (contrarian). To do so, you could use the MSB tool to spot these BOS/CHoCH. And to give you more precise entries, you may rely on the OB/ROB zones which usually mesh over the ladder, to provide a sniper entry!
🔶 RISK DISCLAIMER
Trading is risky, and most day traders lose money. The risk of loss in trading can be substantial. Decisions to buy, sell, hold or trade in securities, commodities and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. All content is to be considered hypothetical, selected after the fact, in order to demonstrate our product and should not be construed as financial advice. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
Demand and Supply Zones Pro [Afnan]Are you looking to level up your trading game and spot potential turning points in the stock market? Introducing the Smart Money Demand and Supply Zones indicator, a powerful tool designed to identify opportunities created by the Smart money.
The Smart Money Demand and Supply Zones indicator is built upon the principles of Rally Base Rally (RBR), Rally Base Drop (RBD), Drop Base Rally (DBR), Drop Base Drop (DBD).
🔍 Key Details 🔍
The "Smart Money" concept refers to large institutional investors and professional traders who possess significant financial resources and expertise. The importance of smart money lies in their influence on market trends and price movements. Their actions and positions often serve as signals for retail traders and investors to make informed decisions.
Formation of Smart Money: Smart money is attracted to areas in the market where they can find favourable risk-to-reward opportunities.
1. Rally Base Rally (RBR) Zones: These zones occur after a rally (upward price movement), followed by a period of consolidation (base formation), and then another rally. Smart money often forms positions here as it suggests a strong uptrend continuation.
2. Rally Base Drop (RBD) Zones: In this case, there is a rally, followed by a base formation, but instead of another rally, the price drops. Smart money may position themselves here in anticipation of a potential trend reversal.
3. Drop Base Rally (DBR) Zones: These zones form when there is a drop in price, followed by a base formation, and then a rally. Smart money may take positions here, expecting a trend reversal to the upside.
4. Drop Base Drop (DBD) Zones: In this scenario, the price drops, then forms a base, but subsequently continues to drop. Smart money might take bearish positions here, anticipating further downward movement.
🚀 Pending Orders from Smart Money Zones: 🚀
When the price approaches these smart money zones, institutional investors often place remaining pending orders to enter the market.
By identifying RBR/DBR zones as potential buying opportunities and RBD/DBD zones as potential selling opportunities on price charts, retail traders can align their trades with smart money activities. Implementing proper risk management and confirming signals enhances the likelihood of successful trades by following the footsteps of institutional investors.
💡 Key Features of the Indicator 💡
This indicator includes the following features:
Customizable Zone Length: Adjust the number of base candles in a zone to suit your preferences and strategy.
Candle Body Size Customization: Personalize the body size of candles for fine-tuning visual representation.
Alert Feature: The alert feature can notify you when the price reaches a demand or supply zone, with the ability to customize the risk-to-reward parameters.
Base Candle Selection: Choose between the body of the candle or narrow range candles as the base candle for zone plotting.
Colour Customization For Candles: Customize Drop, Base, Rally, and Zone colours to match your visual preferences.
Number of Zones: This feature is flexible, allowing you to customize the quantity of zones displayed on the chart for improved visibility.
Zone Colours: You have the option to personalize the colours for both fresh and tested zones based on your preferences.
Zone Strength Customization: Adjust candle sensitivity for better control.
Swing High and Swing Low: Enable or disable support and demand lines based on Swing High and Swing Low.
Wick of Candle: Customize zone plotting using the body or wicks of candles for flexible analysis.
Previous Zones: You can choose to display or disable previous zones on the chart that have been deleted and utilized before. This option helps you maintain a clutter-free chart while retaining valuable historical information.
Moving Averages: Utilize four (4) customizable Moving Averages to enhance analysis from any time frame.
💎 Employing a Top-Down Approach and Multiple Time Frame Analysis: 💎
Let's delve into the concept of adopting a top-down approach combined with multiple time frame analysis in trading scenarios. It is consistently recommended to trade with the trend because, as the saying goes, "the trend is your friend." If you identify a demand zone on the chart but the overall trend is downward, it's crucial to confirm the stock's trend in higher timeframes. Avoid purchasing from the demand zone in such a scenario as you would be going against the trend. To consider buying from the demand zone, ensure that the overall trend is upward by checking the higher timeframe.
Similarly, if the higher timeframe trend is upward but the price is approaching a higher timeframe supply zone, refrain from buying in the lower timeframe. If the price reaches a higher timeframe supply zone, there is a likelihood that the price will face rejection from this zone.
If the price is significantly extended from the EMA 20 on a higher timeframe, for instance, if you plan to trade on a 30-minute timeframe and the price is considerably extended from the daily EMA 20, consider trading from zones that are closer to the daily EMA 20. When the price is extended from the higher timeframe EMA 20, it implies that the price is expensive, and there may be a tendency for it to return to the EMA 20. Therefore, it is advisable to trade from zones that are closer to the higher timeframe EMA 20 and avoid zones that are extended from the higher timeframe EMA 20.
For instance, imagine you're considering purchasing a stock that has reached a demand zone known as Rally Base Rally (RBR). If you identify a corresponding demand zone in a higher time frame located at the same position, and concurrently observe that the intermediate time frame indicates an upward trend, your potential for a successful trade is enhanced.
Conversely, if you spot a buying zone in a lower time frame, but notice a supply zone in the higher time frame at that exact position, the likelihood of a profitable trade decreases significantly. In such cases, it's prudent to steer clear of the lower time frame zone. This emphasizes the critical significance of employing a top-down approach or conducting a multiple time frame analysis.
Note: By Doing top down approach you can easily follow the footprints of smart money in the stock market or any other market by using this indicator and make well-informed trading decisions.
Remember, don't make decisions based only on one time frame. Check the overall trend of the stock and look at buying and selling points on bigger time scales. If you only use one time scale, your chances of making successful trades will be lower.
💎 To execute these comprehensive analyses and optimize your trading outcomes, you can make use of my indicator called "Demand & Supply Zone Scoring: Rally Base & Drop Concept."💎
This indicator is thoughtfully crafted to assess the strength of trade setups based on demand and supply zones through a scoring mechanism. It serves as your guide for correct top-down and multiple time frame analysis, eliminating the possibility of overlooking any strategic parameters. To gain deeper insights, you can learn more about how to use this indicator in its description.
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