Market Structure [BOS/ChoCh Line & Bar-Chart]Overview
A comprehensive market structure indicator that identifies Break of Structure (BOS) and Change of Character (CHoCH) patterns - essential concepts in Smart Money trading methodology.
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🔹 KEY FEATURES
Two detection modes: Swing-based (High/Low) and Line Chart-based (Close)
Automatic HH/LL/LH/HL labeling with price and percentage change
BOS (Break of Structure) for trend continuation
CHoCH (Change of Character) for trend reversals
Market Structure Candle Coloring (MSC)
Optional Line Chart overlay
Fully customizable colors and display options
Built-in alerts for BOS and CHoCH events
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🔹 DETECTION MODES
Swings Mode
Uses candlestick highs and lows to identify swing points. This is the traditional approach and works well for most trading styles.
Line Chart Mode
Uses closing prices only to identify peaks and troughs - similar to how a line chart displays price action. This mode filters out wicks and can provide cleaner structure identification.
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🔹 STRUCTURE LABELS
HH (Higher High) - Price made a new high above the previous high → Bullish
HL (Higher Low) - Price made a higher low → Bullish
LH (Lower High) - Price failed to make a new high → Bearish
LL (Lower Low) - Price made a new low below the previous low → Bearish
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🔹 BOS vs CHoCH
BOS (Break of Structure)
A continuation signal. Occurs when price breaks a key level in the direction of the current trend.
Bullish BOS: Price closes above the last swing high during an uptrend
Bearish BOS: Price closes below the last swing low during a downtrend
CHoCH (Change of Character)
A reversal signal. Occurs when price breaks the key level that would invalidate the current trend.
Bullish CHoCH: During a downtrend, price closes above the high that produced the last Lower Low
Bearish CHoCH: During an uptrend, price closes below the low that produced the last Higher High
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🔹 CANDLE COLORING (MSC)
When enabled, candles are colored based on the current market structure trend:
Bullish trend: Candles colored in the bullish color
Bearish trend: Candles colored in the bearish color
Trend-conforming candles appear solid, counter-trend candles appear faded
Note: For best results, go to Chart Settings → Symbol and set Body/Border/Wick colors to transparent.
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🔹 SETTINGS
Market Structure Settings
Detection Mode - Choose between Swings or Line Chart
Swing Length - Sensitivity of pivot detection (higher = less sensitive)
Show BOS / Show CHoCH - Toggle display of each pattern type
Line Chart Display
Show Line Chart - Display the close-based line overlay
Line Chart Color / Width - Customize appearance
Labels & Extra Data
Show HH/LL/LH/HL Labels - Toggle swing point labels
Show Price at Pivots - Display price values
Show % Change - Display percentage change between swings
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🔹 ALERTS
The indicator includes alerts for:
Bullish/Bearish BOS
Bullish/Bearish CHoCH
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🔹 USAGE TIPS
Use higher Swing Length values on higher timeframes to filter noise
CHoCH signals potential trend reversals - consider waiting for confirmation
BOS signals trend continuation - can be used for entries in the trend direction
Combine with other confluence factors like support/resistance, order blocks, or volume analysis
The Line Chart mode can help identify structure on volatile instruments where wicks create noise
For best display of bar coloring set Visual Order -> Bring to Front
In den Scripts nach "high low" suchen
AI-based Price action confluence dashboard# **AI-Based Price Action Confluence Dashboard - Publication Guide**
Here's a comprehensive introduction guide for your TradingView indicator publication:
***
## **📊 TITLE**
**AI-Based Price Action Confluence Dashboard**
***
## **🎯 SHORT DESCRIPTION** (For the summary field)
A sophisticated real-time confluence scoring system that analyzes multiple price action signals across 15-minute timeframes, providing traders with an AI-weighted scoring mechanism (0-6 scale) to identify high-probability trade setups through visual signal panels and intelligent path detection.
***
## **📝 FULL DESCRIPTION**
### **Overview**
The AI-Based Price Action Confluence Dashboard is an advanced technical indicator designed to eliminate guesswork in intraday trading by systematically scoring and displaying multiple price action signals in real-time. Unlike traditional single-indicator approaches, this dashboard employs a confluence methodology that combines multiple independent signals to provide stronger trade confirmations and reduce false signals.
This indicator is specifically optimized for **1-minute chart analysis** while monitoring **15-minute price structure**, making it ideal for day traders and scalpers who need precise entry timing with larger timeframe context.
***
### **🔑 Key Features**
**✅ Real-Time AI Confluence Scoring**
- Dynamic scoring system (0-6 points) for both bullish and bearish setups
- Visual meter display shows signal strength at a glance
- Color-coded backgrounds indicate confluence levels (strong, moderate, mixed)
**✅ Multi-Signal Analysis**
The dashboard tracks 6 distinct signal types:
1. **FTFC (First to Finish Close)** - Base & Bonus signals
2. **Long/Short Grab** - Liquidity sweep patterns (Path A)
3. **High/Low Hold** - Extended momentum confirmation (+2 bonus)
4. **2-Up/2-Down** - Clean breakout patterns (Path B)
5. **Breakaway** - First candle gap strategies
**✅ Intelligent Path Detection**
- Mutually exclusive path logic prevents signal conflicts
- Automatically identifies whether price is following a "sweep path" or "clean path"
- Unavailable paths are clearly marked with gray indicators
**✅ Visual Signal Panels**
- 🟢 Green Light = Bullish signal ACTIVE
- 🔴 Red Light = Bearish signal ACTIVE
- 🟡 Yellow Light = Signal BUILDING (conditions partially met)
- ⚪ White Light = Signal OFF
- ▪️ Gray Square = Path UNAVAILABLE (mutually exclusive)
**✅ Comprehensive Alert System**
- 10 different alert conditions covering all major signals
- Strong confluence alerts (5+ points)
- Individual signal completion alerts
- Customizable alert messages
***
### **📐 How It Works**
#### **The Confluence Methodology**
This indicator implements a sophisticated confluence trading approach where multiple independent price action signals are combined to identify high-probability setups. Each signal type contributes points to either the bullish or bearish score, with a maximum of 6 points per direction.
**Scoring Breakdown:**
**BULLISH SIGNALS:**
- FTFC Base (15m close > previous 15m close) = +1
- FTFC Bonus (price clears 15th candle high) = +1
- **PATH A (Sweep):** Long Grab = +1, High Hold Bonus = +2
- **PATH B (Clean):** 2-Up = +1, 2-Up Bonus = +1
- Breakaway (gap above first candle) = +1
**BEARISH SIGNALS:**
- FTFC Base (15m close < previous 15m close) = +1
- FTFC Bonus (price clears 15th candle low) = +1
- **PATH A (Sweep):** Short Grab = +1, Low Hold Bonus = +2
- **PATH B (Clean):** 2-Down = +1, 2-Down Bonus = +1
- Breakaway (gap below first candle) = +1
#### **Path Detection Logic**
The indicator automatically determines which path the market is following:
**PATH A: SWEEP PATH**
- Activated when previous 15m low (bull) or high (bear) is breached
- Indicates liquidity grab before reversal
- Includes powerful +2 bonus for "Hold" confirmations
- Mutually exclusive with Path B
**PATH B: CLEAN PATH**
- Activated when previous 15m low (bull) or high (bear) holds
- Indicates strong directional momentum without sweep
- Cleaner price action but smaller point potential
- Mutually exclusive with Path A
This mutual exclusivity prevents double-counting and ensures signal accuracy.
***
### **🎨 How to Use**
#### **Installation**
1. Add indicator to your 1-minute chart
2. The dashboard appears as a table overlay (default: top right)
3. No additional indicators required - this is a complete system
#### **Reading the Dashboard**
**Top Section - Confluence Meter:**
- Shows current bull/bear scores with visual dot meters
- Background color changes based on confluence strength:
- **Bright Green/Red** = 5+ points (strong directional bias)
- **Medium Green/Red** = 3+ points (moderate bias)
- **Orange** = 3+ points both sides (conflicting signals)
- **Gray** = Low confluence (choppy conditions)
**Signal Panels Section:**
- Each row shows a signal type with bull/bear lights side-by-side
- Active signals (🟢🔴) contribute to the total score
- Building signals (🟡) indicate potential setups forming
- Unavailable paths (▪️) show which exclusive path is blocked
#### **Trading Strategy**
**High-Probability Long Entries:**
- Bull score ≥ 5 AND bear score ≤ 1
- Multiple green lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on pullback to key 15m level
**High-Probability Short Entries:**
- Bear score ≥ 5 AND bull score ≤ 1
- Multiple red lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on rally to key 15m level
**Avoid Trading When:**
- Both scores are 3+ (conflicting signals)
- No path is showing active/building status
- Score is below 3 on both sides (low confluence)
#### **Risk Management**
- Use 15m swing high/low for stop placement
- Target opposing 15m level or previous session extremes
- Scale out at partial targets when confluence decreases
- Best results when combined with proper position sizing
***
### **⚙️ Customization**
**Dashboard Settings:**
- **Table Location:** Top Left, Top Right, Bottom Left, Bottom Right
- **Text Size:** Tiny, Small, Normal, Large
**Color Scheme:**
- **Bullish Color:** Customize green for bull signals (default: #00cc66)
- **Bearish Color:** Customize red for bear signals (default: #ff4444)
- **Building Color:** Customize yellow for forming signals (default: #ffaa00)
- **Inactive Color:** Customize gray for off signals (default: #555555)
- **Unavailable Color:** Customize dark gray for blocked paths (default: #333333)
All colors can be adjusted to match your chart theme or visual preferences.
***
### **🎯 Best Practices**
1. **Use on 1-minute charts only** - The indicator is calibrated for this timeframe
2. **Trade during liquid sessions** - Best results during NY/London overlap
3. **Wait for 3+ confluence** - Minimum threshold for trade consideration
4. **Watch path transitions** - Signal strength changes when paths flip
5. **Use alerts strategically** - Set alerts for 5+ confluence to catch strong setups
6. **Combine with volume** - High volume confirms signal validity
7. **Respect 15m structure** - Don't fight the larger timeframe bias
***
### **⚠️ Important Notes**
- This indicator is designed for **intraday trading only**
- Requires active monitoring during trading sessions
- Works best on liquid instruments (major forex pairs, indices, large-cap stocks)
- Not suitable for swing trading or position trading
- Past performance does not guarantee future results
- Always use proper risk management and position sizing
***
### **🏷️ Category**
**Oscillators** or **Volatility** (choose based on TradingView categories)
***
### **🏷️ Suggested Tags**
- confluence
- price action
- day trading
- scalping
- intraday
- signals
- dashboard
- multi-timeframe
- 1-minute
- 15-minute
***
### **📜 Disclaimer**
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. All trading involves risk, and you should never risk more than you can afford to lose. The developer assumes no responsibility for trading losses incurred through the use of this indicator. Always practice proper risk management and consider your own risk tolerance before trading.
Master Moving Averages PlusThe Master Moving Averages indicator is a full-session, moving-average–driven market structure engine that combines 1) Heiken Ashi Candlesticks, 2)Exponential Moving Averages, 3)Session Backgrounds, 4)VWAP, 5)EMA Streams, 6)EMA Crossing Labels, 7)All-Inside EMA Labels, 8)Price Control Logic (Bundles, Momentum, Reversals), and 9)Heavy EMA anchors into a single chart framework. The indicator provides access to toggle these features on and off in the settings gear icon to the right of the indicator name in the screen panel.
1)Because this chart uses Heikin Ashi candlesticks, the behavior is slightly different from standard candles. Heiken Ashi candles are smoothed, meaning each candle is influenced by the previous one. This reduces noise and makes trends easier to see. In practice, long sequences of same-color candles with small or no opposite wicks indicate strong, sustained movement, while smaller bodies or the appearance of opposite wicks signal slowing or transition. Opposite wicks are wicks that appear against the current direction of the move. In an upward move, an opposite wick is a wick on top of the candle. It shows that upward progress is no longer clean and momentum is starting to slow. In a downward move, an opposite wick is a wick on the bottom of the candle. It shows that downward progress is slowing.
With Heiken Ashi candles, opposite wicks are especially important because they do not appear easily. When one shows up, it often marks loss of trend quality, a pause, or the beginning of a transition rather than a random fluctuation. Ashi wicks still matter, but they emphasize trend quality rather than single-bar reactions, making them especially useful for staying in moves longer and avoiding premature exits caused by random price spikes. Candlesticks are a visual record of price behavior over one bar, showing where price opened, traded, and closed. The body shows the meaningful part of the move—the distance between open and close—and tells whether price made progress during that bar. Large bodies indicate clean movement and follow-through, while small bodies indicate slowing or uncertainty. The wicks show where price traveled but did not stay. Wicks in the direction of the move are normal and usually appear during healthy trends, while wicks against the move signal slowing, hesitation, or loss of momentum. A candle with a large body and small wicks reflects strong continuation, whereas long wicks with a small body suggest pause, balance, or transition. Candlesticks are not signals by themselves; they are read bar-to-bar to judge whether a move is continuing, slowing, or stalling, helping decide whether to stay in a trade, manage risk, or wait for clearer structure.
For example, suppose price is moving higher and already in a long trade. Several candles print with solid bodies and small lower wicks, showing steady upward progress. This is healthy continuation, so staying in the trade makes sense. Then a candle prints with a small body and a long upper wick. Price pushed higher during the bar but could not hold those levels by the close. That candle does not mean reverse now, but it does mean momentum is slowing. The practical response is to stay in but be alert—do not expect the same speed of continuation. If the next candle prints another upper wick or a small body, the move is likely stalling. If instead the next candle closes strong with a large body, the trend has resumed.
2)An Exponential Moving Average (EMA) is a moving average that tracks price but gives more weight to the most recent bars. In plain terms: it reacts faster to what price is doing right now than a simple average (SMA) does. Here’s what that means in practice: Every EMA is an average of price over a set number of bars The "exponential" part means the newest candles matter more than older ones. Because of that weighting, an EMA turns sooner, crosses sooner, and shows shifts in directional control sooner. On the chart specifically: Short EMAs (like 4, 9, 16) respond quickly → they show immediate pressure. Mid EMAs (24, 36, 48) show follow-through or failure. Long EMAs (72 and up) change slowly → they define structure and context, often showing the explosive nature of building pressure signaling entries.
3)Session Background gives context to which part of the trading day the current bar or candlestick belongs to. The script separates the day into: Pre-Session, After-Hours and Regular Trading Hours (RTH). Price acts differently depending on the session. Session context is shown on the chart by 1️⃣ Background shading. The lighter background → Pre-session or Pre-Market (PM) and After-hours (AH). The darker background → RTH (Regular Trading Hours). One glance tells you where you are in the day. 2️⃣ Different sessions build different levels of highs and lows: Pre-Session High and Low is built only during After Hours (AH) and pre-market hours (PM). Session High and Low is built only during RTH. Previous Day Session High and Low is carried forward into today. These provide perspective during the session. Sometimes price respects pre-session highs and lows and even previous day session highs and lows— especially immediately following opening in the initial move and retracement. Session context just means knowing whether a particular candlestick bar was or is pre-market, regular hours, or after-hours — because the rules change. It's just a check on where you are.
4)VWAP stands for Volume Weighted Average Price. It is the session’s true average price — weighted by where the volume actually traded. Not yesterday, not overnight, only during Regular Trading Hours. Every share traded during Reg Trading Hours (RTH) pulls VWAP toward it. The VWAP on this chart resets at the RTH open. VWAP uses the average price of each bar, then lets the bars with real volume count more. The calculation is High+ Low+ Close/3. High, Low, Close are added together and averaged. So instead of picking just the close or just the high, it uses the middle of where price actually traded during that bar. The equation looks like this: hlc3 × volume. It only updates during the day session. Overnight and pre-market do not contaminate it. So VWAP belongs to today’s fight only. On the chart it looks like a thick orange line outlined in white. There is a right-side label that reads: VWAP | Bullish / Bearish / Neutral.
In practice VWAP is a 1️⃣ Fair price reference that shows where the bulk of business has been done because if Price is above it → trading is happening at higher-than-average prices. If Price is below it → trading is happening at lower-than-average prices. Fair price is the price level where the most of the trading has actually occurred during the session. It's not a prediction.
It's not a target. It's not a value judgment. It's just where buyers and sellers have been most active. 2️⃣ VWAP slope is smoothed and classified: Rising → Bullish, Falling → Bearish, Flat → Neutral. This doesn’t fire signals — it confirms pressure. VWAP shows where today’s real money has traded and whether that price is drifting up, down, or going nowhere.
The right-side VWAP label summarizes everything in one place: trend state, price distance from VWAP (percentage), and slope strength with direction arrows, allowing quick assessment without clutter. Practically, VWAP is used as a fair-value anchor and intraday control reference—price holding above a rising VWAP supports continuation, price below a falling VWAP supports downside pressure, and flat VWAP conditions warn of rotation or chop rather than trend.
5)EMA (Exponential Moving Average) Streams in this script are a visual state. They are the shaded bands between specific EMA pairs that show: direction, pressure, and alignment. The stream shows the relationship of the pairs. In the script the streams are: 4–9, 9–16, 16–24, 24–36 EMA'S. Each one can be turned on or off. On the chart they look like two EMAs with soft shaded fill between them and color changes based on up or down movement. The stream mechanically is telling 1️⃣ Direction. If the pair is above price they push down, if below price they push up. Each stream is made of two EMAs: One reacts faster, one reacts slower, but they’re doing the same thing. For Example a 4 EMA takes the last 4 candlesticks and averages them; likewise a 9 EMA takes the last 9 candlesticks and averages them yielding two lines, one that moves quicker and one that moves slower. When a slower EMA crosses above a faster EMA it drives price down. When a slower EMA crosses below a faster EMA it drives price up. 2️⃣ Pressure: EMA streams show pressure leaning on price. Wide stream → pressure is expanding. Tight stream → pressure is compressing. Compression matters because it precedes movement.
6)EMA Crossing Labels (Pivots, EMA9, EMA16, EMA24) mark an actual EMA crossover event. The Crossing Labels are white labels attached below or above the candlestick showing price direction. They print only when one EMA physically crosses the price control line. The price control line is a default on the chart and is constant. The priceControlLine = (open + close) / 2. The crossing is confirmed on bar close. If, for example, EMA-16 rolls over the priceControlLine and crosses downward, the label fires indicating that price has stalled or shifted, buyers have lost control, sellers are in control, and the market is trending short. If EMA-24 and EMA-36 follow, pressure is stacking, multiple timeframes confirm, pullbacks become weaker, and price is more likely to continue in the same direction.
7)An Inside EMA label can represent two very different conditions, and context matters. When shorter ranges (such as 9–36, 9-48, or 9–72) compress inside a candle during sideways or low-energy price action, it often reflects chop or rotation, and no immediate expansion is required. In contrast, when deeper ranges (9–106, 9–139, 9–192) collapse inside a single candle—especially near the open or during active sessions—it usually occurs because price is moving faster than the EMAs can respond, signaling elevated energy and the potential for rapid continuation or transition. Practically, Inside labels are conditional triggers: shallow compression can persist, while deep compression demands attention because resolution, when it comes, tends to be decisive.
Example 1: Fast open, real urgency— The market opens and within the first few candles a 9–139 Inside label prints. Price has already moved aggressively, and all EMAs are trapped inside one candle body. In real terms, this means structure has been run over. The practical response is immediate attention: do not hesitate, do not wait for EMAs to fan out. Expect either a fast continuation (often followed quickly by a Bundle or Momentum label) or a sharp stall if momentum fails. Speed matters because the next decision point arrives quickly.
Example 2: Mid-day chop, no urgency—Later in the session, price is rotating sideways and a 9–72 Inside label appears. Price has not traveled far, candles overlap, and no expansion follows. In this case, the label simply confirms compression without pressure. The correct action is no action—continue waiting. No urgency, no expectation of immediate resolution.
Example 3: Transition point—After a trend, a 9–106 Inside prints as bodies shrink. Momentum is already slowing. Here the label marks a transition zone. The practical move is to stop expecting continuation and watch closely: a Momentum or Bundle label confirms continuation, while a Reversal label confirms control change.
8)Price Control Logic is determined by three things working together and the Bundle, Momentum, and Reversal labels are expressions of that control:
1️⃣ Price vs the Price Control Line: The Price Control Line is the midpoint of the candle body. When Price is above it → buyers are controlling closes. When Price is below it → sellers are controlling closes.
2️⃣ EMA Position Relative to Control: When EMAs cross the Price Control Line: EMA crosses up through control → momentum is shifting to buyers. EMA crosses down through control → momentum is shifting to sellers. That’s why labels fire only on those crosses. It marks real control shifts, not wicks.
3️⃣ EMA Stack & Compression: Tight EMA bundles inside the candle body means no one has control yet. EMAs expanding upward means buyers are gaining control. EMAs expanding downward means sellers are gaining control. This is pressure building vs pressure releasing.
Bundle, Momentum, and Reversal labels are confirmation markers, not prediction signals. A Bundle label prints when a compressed EMA cluster (16/24/36/48) resolves back into price with real body momentum and EMA-16 already trending, signaling stored pressure releasing. A Momentum label prints only on sharp expansion, where the candle body is significantly larger than the prior bar, confirming acceleration in the existing direction. A Reversal label marks a true short-term control shift, where EMA-16 flips slope with a momentum candle, signaling buyers and sellers have swapped control—not a wick reaction. Because all labels require body dominance and EMA agreement, they often appear after movement begins, making them reliable tools for confirming pressure, continuation, or control change rather than early entry timing. Visually, each label reinforces direction at a glance. Bullish labels are green, placed below the candle, and use an upward-pointing shape to indicate rising pressure. Bearish labels are red, placed above the candle, and use a downward-pointing shape to indicate falling pressure. Labels sit just off the candle body so price remains clear, and their color, placement, and shape always align with the direction of control.
9) Heavy EMA anchors are the big EMAs. They act like fixed reference points while everything else whips around them. The heavy EMA anchors in this chart are EMA 768,1024, 1250, 1536, 2048, 2700, 3300, 4096. They are displayed only as right-side tags at their current price levels, not as plotted lines. These tags sit on the far right edge of the chart, aligned with the price scale, and are color-matched to their respective EMAs. Their purpose is to show where slow, heavy pressure exists without cluttering price action with lines. When these EMA tags are bundled together and price is trading inside that cluster, the market is compressed and choppy. When the tags separate and price holds above or below the group, structure is returning and directional movement becomes easier. Keeping the tags visible provides instant awareness of whether price is trapped or free, helping filter noise and align the rest of the indicator with the larger structure at all times.
Trend Break Targets [MarkitTick]Trend Break Targets
Trend Break Targets is a technical analysis tool designed to assist traders in identifying trendline breakouts and projecting potential price targets based on market geometry. Unlike fully automated indicators that guess trendlines, this tool provides you with precise control by allowing you to manually Pivot Point the trendline to specific points in time, while automating the complex math of target projection and structure mapping.
Theoretical Basis & Concepts
This indicator is grounded in classic technical analysis principles found in foundational trading literature. It automates the following methodology:
Drawing a trend line between two key points to represent dynamic support or resistance.
Identifying a breakout when the price closes above or below this line, potentially signaling a change in trend.
Calculating a price target by measuring the vertical distance between the breakout line and the last high/low (pivot), then projecting that same distance in the direction of the breakout.
This concept is based on methods and "Measured Move" theories explained in classic books such as "Technical Analysis of Stock Trends" by Edwards & Magee, "Technical Analysis of the Financial Markets" by John Murphy, and in Thomas Bulkowski's Price Pattern Studies.
How It Works
Pivot Pointed Trendline Construction The script draws a trendline between two user-defined points in time (Start Date and End Date). It calculates the slope between these points and extends the line infinitely to the right, allowing you to define the exact structure (e.g., a resistance trendline on a wedge).
Breakout Detection The script monitors the "Price Source" (High, Low, or Close) relative to the extended trendline.
A Bullish Breakout (BC) occurs when the Close crosses above a bearish trendline.
A Bearish Breakout (BC) occurs when the Close crosses below a bullish trendline.
Dynamic Target Projection (The Math) Upon a confirmed breakout, the script automatically calculates three distinct targets by identifying the most significant "Swing Point" (Pivot) prior to the breakout.
Distance (D): The vertical distance between the Trendline and the Pivot Price at the specific bar where the pivot occurred.
Target 1 (T1): The Breakout Price +/- (Distance × 1.0). This represents a classic 1:1 measured move.
Target 2 (T2): The Breakout Price +/- (Distance × 1.618). Based on the Golden Ratio extension.
Target 3 (T3): The Breakout Price +/- (Distance × 2.618).
Market Structure (CHOCH) The script includes an optional Change of Character (CHOCH) module. This runs independently of the trendline logic, identifying local Swing Highs and Swing Lows based on the "Swing Detection Length." It plots dashed lines and labels to visualize immediate shifts in market structure.
How to Use This Tool
This is an interactive tool that requires user input to define the setup.
Identify a Setup: Locate a clear trend, wedge, or flag pattern on your chart.
Set Pivot Points: Go to the Indicator Settings. Input the exact Start Date and End Date corresponding to the two main touches of your trendline.
Monitor for Breakout: The script will extend the line. Wait for a "BC" label to appear.
Trade Management: Once "BC" prints, the T1, T2, and T3 lines will instantly render. These can be used as potential take-profit zones or areas to tighten stop-losses.
Settings & Configuration
Indicator Settings
Start/End Date: The timestamp Pivot Points for your trendline.
Price Source: Determines what price (High or Low) Pivot Points the line and triggers the breakout.
Pivot Left/Right: Adjusts the sensitivity for finding the "Pivot Before Break" used for target calculations.
Extend Target Line: How far forward the target lines are drawn.
Visual Style
Colors: Fully customizable colors for the Trendline, Breakout Labels, and each Target level (T1, T2, T3).
Gold Bullish Reversal
This analysis dissects a confirmed bullish reversal on Gold using a custom Trend Break system. The setup identifies a transition from a bearish corrective phase to bullish momentum, validated by a structural break and a geometric target projection.
Trend Identification (The Pivot Points) The descending white trendline serves as the primary dynamic resistance, defining the bearish correction.
Pivot Points: The line is drawn connecting two significant swing highs, marked by Label 1 and Label 2.
Logic: These points represent the "lower highs" characteristic of the previous downtrend. As long as price remained below this trajectory, the bearish bias was intact.
The Trigger: Breakout & Confirmation The transition occurs at the candle marked BC (Breakout Candle).
Breakout Criteria: The indicator logic dictates that a signal is only valid when the bar closes above the trendline. This filters out intraday wicks and ensures genuine buyer commitment.
CHOCH Confluence: Immediately following the breakout, a CHOCH (Change of Character) label appears. This signals a shift in market structure, indicating that the internal lower-high/lower-low sequence has been violated, adding probability to the reversal.
Target Projection: The Measured Move The vertical green lines (T1, T2) represent profit objectives derived from the depth of the prior move. The logic calculates the distance between the breakout line and the lowest pivot prior to the break.
T1 (Standard Target): This is a 1:1 projection of the pre-breakout volatility. We see price action initially stalling near this level, confirming it as a zone of interest.
T2 (Golden Ratio Extension): The second target is calculated as the initial distance multiplied by 1.618 (Fibonacci Golden Ratio). The chart shows the price rallying aggressively through T1 to tap the T2 zone, often considered an exhaustion or major take-profit level in harmonic extensions.
Conclusion Gold has successfully invalidated the 4-hour bearish trendline. The confluence of a confirmed close above resistance (BC) and a structural shift (CHOCH) provided a high-probability long setup. The price has now fulfilled the T2 (1.618) extension, suggesting traders should watch for consolidation or a reaction at this key Fibonacci resistance level.
Bearish Trendline Breakdown
The image displays a Bearish Trendline Breakdown on the Gold (XAUUSD) 4-hour chart. The indicator is actually functioning in "Low" mode here (connecting swing lows to form support), which triggers the bearish logic found in the code. Here is the step-by-step breakdown:
The Setup: Pivot Points & Trendline
Visual: The Blue Labels "1" and "2" connected by a white diagonal line.
Code Logic: These are the user-defined start and end points.
Pivot Point 1 (startDate): The starting pivot of the trendline.
Pivot Point 2 (endDate): The ending pivot.
Trendline: The code draws a line between these two points and extends it to the right (extend.right). In this specific image, the line acts as a Support Trendline.
The Trigger: Break Candle (BC)
Visual: The Red Label "BC" appearing just below the white trendline.
Code Logic: This is the execution signal. The code detects a "Down Break" (dnBreak) because the Price Source was likely set to "Low" and the candle's Close was lower than the Trendline Price at that specific bar (close < currLinePrice). This confirms the support level has been breached.
The Projection: Targets (T1 & T2)
Visual: The Green Labels "T1" and "T2" with dotted horizontal lines projected downward.
Code Logic: These are profit targets based on a "Measured Move."
Pivot Calculation: The script looks back for a recent "Pivot High" (the peak before the crash) to calculate the volatility/distance (dist) between that peak and the trendline.
T1 (Conservative): The price is projected downward by 1x that distance (currLinePrice - dist).
T2 (Extended): The price is projected downward by 1.618x that distance (Golden Ratio extension).
Market Context: CHOCH
Visual: The small Red/Orange "CHOCH" labels appearing above the price action.
Code Logic: This is a secondary confirmation system running independently of the trendline. It detects a Change of Character (structural shift). The red labels indicate a "Bearish CHOCH," meaning the price broke below a significant prior swing low (last_swing_low). This supports the bearish bias of the trendline break.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Time Liquidity a Zulu Kilo indicatorTime Liquidity (Daily/Weekly/Monthly/Quarterly/Yearly) — New York Time (ET)
Time Liquidity is a calendar-based “liquidity map” that tracks highs and lows for the current Day / Week / Month / Quarter / Year (using America/New_York time). When each period completes, its high/low becomes a persistent liquidity level that extends forward until price takes it—helping you quickly see where prior time-based liquidity is still “untouched.”
This is not a trading strategy and does not place trades. It is a context + levels tool designed to help you plan, frame targets, and monitor which higher-timeframe highs/lows remain in play.
What it plots:
1) Current period range boxes (optional)
-A live “bounding box” for the active D / W / M / Q / Y period, updating as new highs/lows form. This gives you better perspective
-Per-timeframe visibility controls and opacity controls.
2) Historical liquidity lines (optional)
-When a period rolls over, the completed period’s High (▲) and Low (▼) are projected forward as liquidity lines.
-Each line remains active until price breaches it (high taken when price trades above; low taken when price trades below).
-Tags identify the source timeframe (D/W/M/Q/Y) and side (high/low).
3) NeoHUD (optional)
-A compact panel showing the nearest next “untaken” liquidity above and below current price for each timeframe.
-Useful for quickly answering: “What’s the closest higher-timeframe high above me?” and “What’s the closest low below me?”
Time / session logic (important)
-All calendar boundaries are computed in New York time (America/New_York).
-Week start is Monday 00:00 ET.
-Sunday handling: you can choose whether Sunday merges into Monday (default behavior - This mostly for futures/FX markets) or is treated as a separate day (useful for Bitcoin, etc..).
(Note: This tool is calendar-based, not exchange-session-based. If your market has non-standard sessions/settlement conventions, interpret levels accordingly.)
How to use it (practical workflow)
-Turn on the timeframes you care about (D/W/M/Q/Y).
-Use current boxes to see the active period’s developing range.
-Use historical lines as a “to-do list” of still-untouched highs/lows.
-Watch the NeoHUD to stay oriented on the closest remaining liquidity above/below price (per timeframe).
For a cleaner chart or faster performance, reduce:
-Max Historical Liquidity Lines Kept / TF
-The number of enabled timeframes
-Glow/frame effects and/or boxes
Limitations / transparency
This indicator does not predict direction or guarantee outcomes; it only visualizes time-based highs/lows and whether they have been taken.
On very low timeframes or long histories, TradingView object limits may apply; use the settings above to manage chart load.
No alerts are included in this script (levels are intended for visual decision support).
Risk notice
Trading involves risk. This tool is provided for educational and informational purposes only and should not be used as the sole basis for trading decisions.
(SM3) Volume Profile Tool-kitCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by barCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by barCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by bar
ICT Key Levels Suite |MC|Parts of this script were created by TheTickMagnet, Bankulov, and others. Many thanks to them; credit is due to all of you. I simply compiled them into a suite...
🌟 Overview 🌟
This tool highlights key price levels, such as highs, lows, and session opens, that can influence market movements. Based on ICT concepts, these levels help traders spot potential areas for market reversals or trend continuations.
🌟 Key Levels 🌟
🔹 Week Open (at Sunday 6:00pm EST for Futures)
Marks the start of the trading week. This level helps track price direction and is useful for framing the weekly candle formation using ICT’s Power of 3.
🔹 (Trading) Day Open: 6:00pm EST for Futures or 5:00pm EST for Forex.
🔹 Midnight Open (True Day Open) (00:00 EST)
The Midnight Open (MNOP) marks the start of the new trading day. Price often retraces to this level for liquidity grabs, setting up larger moves in the daily trend. It's also key for framing the Daily Power of 3 and spotting possible market manipulation.
🔹 Previous Day High/Low (customizable)
These levels show where liquidity remains, often serving as targets for price revisits, ideal for reversals or continuation trades.
🔹 Daily divider lines with Weekday label (customizable)
🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day's true high or low.
🔹 NY AM, Lunch & PM Session
🌟 Customizable Settings 🌟
The indicator includes 5 configurable ranges, each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low) or both (Box and extended Lines).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings (according to ICT) 🌟
Range 1: 6:00pm - 2:00am (Asia Session)
Range 2: 02:00 - 07:00 (London Session)
Range 3: 07:00 - 12:00 (NY AM Session)
Range 4: 12:00 - 1:30pm (NY Lunch Session)
Range 5: 1:30pm - 5:00pm (NY PM Session)
Happy trading!
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
15 min Trailstop15m High/Low Liquidity Lines (1m) — Indicator Description
15m High/Low Liquidity Lines (1m) is a precision liquidity-mapping tool designed for intraday traders who understand the importance of higher-timeframe liquidity levels while executing on the 1-minute chart.
This indicator automatically detects confirmed 15-minute swing highs and swing lows using pivot logic. When a new 15m high or low forms:
✔ Liquidity Line Generation
A horizontal line is drawn exactly at the price level of the pivot.
The line is anchored to the exact 1-minute candle that produced the 15m high/low, ensuring perfect visual alignment.
The line extends only up to the current bar — not across the whole chart.
Optional text labels (“15m High”, “15m Low”) can be shown at the start of each line.
✔ Auto-Cleanup (Smart Liquidity Sweep Detection)
If price trades through the level, the corresponding line and label are:
Instantly deleted
Marking the level as taken/swept
Allowing the chart to stay clean and focused on active liquidity only
This mimics institutional liquidity logic: once the high or low is violated, the target is considered filled and removed.
✔ Alerts
The indicator includes built-in alerts that fire when:
A new 15m high is confirmed
A new 15m low is confirmed
This allows the trader to react immediately when fresh liquidity levels appear.
✔ Customization Options
You can fully tailor the visual representation:
Turn highs and/or lows on or off
Choose line style (solid, dashed, dotted)
Customize line color and thickness
Customize the label style, size, and transparency
Who Is This For?
This indicator is ideal for:
ICT-style traders
Liquidity-based scalpers
1-minute ES/NQ traders
Anyone who uses HTF liquidity levels to frame trades on the LTF
It provides a clean, automated method to track active 15-minute liquidity levels directly on the 1-minute chart with zero clutter and perfect alignment.
Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET
Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions.
Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts.
The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence.
THE FOUNDATION
The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology.
Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk.
Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods.
Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses.
HOW THE INDICATOR CALCULATES VOLATILITY
The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility.
For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options.
Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature.
The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements.
The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process.
The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful.
THE CORE VRP CALCULATION
Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress.
The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag.
INTERPRETING THE REGIMES
The indicator classifies market conditions into five distinct regimes based on VRP levels.
The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes.
The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding.
The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates.
The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress.
The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging.
TERM STRUCTURE ANALYSIS
Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows.
Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship.
When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms.
The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics.
MEAN REVERSION CHARACTERISTICS
One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies.
The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low.
Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization.
These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter.
MOMENTUM ANALYSIS
The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium.
The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels.
PRACTICAL APPLICATION
For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk.
For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes.
For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system.
LIMITATIONS AND CONSIDERATIONS
No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention.
The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period.
Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies.
The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources.
Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics.
STATISTICAL OUTPUTS
The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation.
Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions.
ALERT CONDITIONS
The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes.
REFERENCES
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566.
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492.
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78.
Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354.
Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
MTF S/R Array - Full CustomA clean, institutional-style multi-timeframe support and resistance indicator designed for precision trading decisions. Plots previous and current period levels with full customization for backtesting and live trading.
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WHAT IT PLOTS
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MONTHLY
- Previous Month High / Low / Close
- Previous Month Highest Closing Price
- Current Month High / Low / Highest Close
WEEKLY
- Previous Week High / Low / Close
- Current Week High / Low
DAILY
- Previous Day High / Low / Close
- Current Day High / Low
SESSIONS (Full Session - EST)
- Asian: 7pm - 4am
- London: 3am - 12pm
- New York: 8am - 5pm
OPENING RANGE
- Monday/Tuesday combined high and low
- Clean box visualization for weekly initial balance
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WHY THESE LEVELS MATTER
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Institutions and smart money reference these key levels for:
- Liquidity targets
- Stop hunts
- Reversal zones
- Trend continuation entries
Previous period levels act as magnets for price. Current levels show where the battle is happening now.
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FULL CUSTOMIZATION
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Every level type has independent controls:
- Show/Hide Previous and Current separately
- Extend Bars - control how far each level stretches
- Line Width - adjust thickness per level
- Transparency - fade previous levels for clarity
- Colors - separate colors for High/Low vs Close
Additional settings:
- Labels on/off with size and style options
- Info table with position and size controls
- Opening range box transparency and border width
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HOW TO USE
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1. Use on lower timeframes (1m, 5m, 15m) to see HTF levels
2. Watch for price reactions at previous period highs/lows
3. Look for session high/low sweeps followed by reversals
4. Use Monday/Tuesday opening range for weekly bias and targets
5. Previous levels extend further back for backtesting context
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TIPS
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- Increase "Prev Extend Bars" on monthly/weekly to see levels across more history
- Use higher transparency on previous levels to keep chart clean
- Turn off sessions you don't trade to reduce clutter
- The info table shows all values at a glance - position it where it doesn't block price action
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BEST FOR
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- ICT / Smart Money Concepts traders
- Session-based strategies
- Swing traders using HTF levels on LTF entries
- Anyone who wants clean, customizable S/R levels
Works on Forex, Crypto, Stocks, Futures, and Indices.
SIFVG [ULTRA+]Introduction
Sweep Inverse Fair Value Gap° is a fully customizable charting tool built to track inversion fair value gap logic that occur after displacement events—specifically when Fair Value Gaps (FVGs) are closed through, and effectively flipping their original state. The tool is inspired by Inner Circle Trader (ICT) concepts, offering a clean visual interface to support traders studying price behaviour after liquidity sweeps, FVG closures, and highlighting mechanical swings targets.
This indicator does not draw zones or suggest direction. It operates entirely on confirmed price events and produces logic-bound visuals designed for traders who already understand IFVG-based reasoning and seek visual consistency across sessions, Timeframe on any instrument.
Key Terms and Definitions
• Swing High / Swing Low: A swing high is a local price peak with lower highs on either side. A swing low is a local trough with higher lows on either side. These are used to detect where liquidity may rest and are required for confirming the initial raid condition in the IFVG model.
• Liquidity Raid: This occurs when price trades through a prior swing high or low, effectively “sweeping” a level where orders may be clustered around. The raid is a required precursor to inversion logic in this model. The tool will not evaluate a potential Fair Value Gap or Inversion Fair Value Gap unless a swing high or low has been taken first.
• Fair Value Gap (FVG): A Fair Value Gap is a price imbalance that occurs when a strong move leaves a gap between candles—specifically, when the high of one candle and the low of a later candle do not overlap. FVGs often emerge during displacement and are commonly studied as inefficiencies within a price leg.
• Inversion Fair Value Gap: An inversion happens when price fully closes through an existing Fair Value Gap that raided liquidity, suggesting the original imbalance rebalanced, and looks to reverse its original role. For example, when a bearish FVG is closed above after raiding a swing low, it may present a shift in orderflow (bullish inversion). The tool recognizes SIFVGs as “inverted” after a candle body candle closes through the gap post raid.
• Displacement: A strong directional price move, typically with momentum, that leaves a Fair Value Gap behind. Displacement is important in inversion logic, as it creates the context and confidence in comparing and contrasting FVGs and Inversions for obvious flips in market behaviour.
• SIFVG Line: Once inversion occurs, the indicator draws a single horizontal array on the candle's close. It marks the start of model activation. This is not a prediction level or a support/resistance area, as it merely serves as a reference for when model logic is sequentially active.
• Opposing Swing: The swing high or low opposite the one that was swept during the initial raid. This becomes the model’s first target for mechanical delivery and is automatically drawn once the IFVG line is plotted. When price reaches this swing, the model has reached its mechanical objective and could offer opportunities for further continuation to additional liquidity pools if orderflow continues to be present.
• Invalidation: The Sweep Inversion Fair Value Gap is considered invalid in one of two scenarios, which the user can toggle individually: a body print back above/below the inversion in bearish/bullish conditions, or trading above/below the most recent swing high/low after the liquidity raid. The SIFVG line will continue extending until the setup is invalidated by the chosen toggle, or when the Opposing Swing is reached.
• Consequent Encroachment (CE): The midpoint (50%) of the FVG or SIFVG. This line can be optionally displayed for users who use the midpoint of imbalances for reference of imbalance respect. It is not required by the model’s internal logic but may assist with discretionary interpretation.
• Description
At its core, SIFVG follows a structured three-step logic sequence: a FVG is created, liquidity is taken, and the Fair Value Gap (FVG) inside of the leg of the raid is closed through, signally a potential orderflow shift. Once inversion is confirmed, an SIFVG line is plotted at the close of the candle that caused the inversion, making it the structural anchor for the model.
The tool does not account for partial fills or candle wicks for FVGs or SIFVGs. Only full-body closures through a qualifying FVG are recognized. When this occurs, a bullish or bearish inversion is plotted and the model becomes active. From there, the opposing swing (the unswept high or low from the displacement leg) is automatically drawn as the target for the model.
Key Features
The Bias allows traders to define whether to track bullish inversions (closing above bearish FVGs), bearish inversions (closing below bullish FVGs), or neutral to see both. This allows isolated directional focus as well as the ability to display all models.
The Session Filter enables traders to define up to four specific Time blocks when the model is permitted to trigger. The Macros Only toggle filters setups further by limiting activation to the first and last 10 minutes of each hour, a filter inspired for intraday traders and scalpers.
How Traders Can Use the Indicator Effectively
SIFVG is not meant to identify trade signals, entries, or exits. It is best used as a visual tracker and confluence for structure-based delivery. The tool excels as a companion for:
Journaling and reviewing SIFVG-based setups across Timeframes and sessions
Studying structural completion or invalidation behaviour
Tracking delayed deliveries and retracement-based logic
Traders using the tool should be familiar with FVG formations, inversion criterias, and the importance of orderflow once an opposing swing is reached.
Usage Guidance
Add the SIFVG to a TradingView chart. This is a fractal script and can be applied across any Timeframe or asset pairing.
Use the SIFVG line to track inversion structure, monitor when inversions are created and negated, and reference the opposing swing to determine whether structural delivery has completed.
Use the SIFVG in combination with your own discretion and narrative to assess when the model has flipped, held, or broken.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of any Marcus product. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Dix$ons Tackle BoxDixsons Tackle Box — Multi-Tool Trend & Levels Suite (MA/EMA + VWAP + BB + Adaptive Trend Channels + Auto Fibs)
---
**Dixsons Tackle Box** is an all-in-one overlay for traders who want a clean chart with *stacked edge* instead of stacked indicators.
It combines:
* A **5-slot MA/EMA pack** with live slope % labels and MTF smoothing
* A **full VWAP engine** with event-based anchors, trend angle coloring, and VWAP bands
* **Bollinger Bands** with volatility-aware coloring and optional gradient background
* A **Short-Term & Long-Term Adaptive Trend Channel (ATC)** with automatic period detection, log-regression channels, and performance tables
* A **Dixson Auto Fibonacci suite**: ATR-based “rail” Fibs + Lookback Fibs off HH/LL, both driving a shared, fully customizable Fib bank
Everything is controlled logically by feature groups under the **“Tackle Box”** section, so you can quickly turn modules on/off and tune the tool to your style (scalp, intraday, swing, or position).
> **Important:** This is an analysis/visualization tool only. Nothing here is financial advice or an automatic trading system. Always test and manage risk yourself.
---
## 1. MA/EMA Pack — 5 Smart Averages with Slope %
**Group:** `Tackle Box` + per-slot groups `MA/EMA 1` … `MA/EMA 5`
**Main toggle:** `Enable MA's`
**Per-slot master row:** `_maRow1` … `_maRow5`
### What it does
This module gives you **five independent MA/EMA slots**, each with:
* Its own **type** (MA or EMA)
* **Length**, **color**, **line width**, and **plot style** (`Solid`, `Step`, or `Circles`)
* **Timeframe per slot** (MTF)
* Rich **label controls** (slope %, length/type text, timeframe text, etc.)
* **Label size** per slot (`tiny → huge`)
On top of that, each average has a **live slope % readout**, normalized by instrument tick size, so you can compare trend steepness across assets.
### Key features
* **Master slot row (1–5):**
In the `Tackle Box` group you have `_maRow1`–`_maRow5` toggles. These gate each slot globally, so you can quickly show/hide specific MAs without digging into each slot.
* **MTF Smoothed Mode:**
* `MTF Smoothed Mode` (on by default) makes higher-timeframe MAs **update only when the HTF bar closes (and on the last bar)**.
* That reduces the stair-stepping noise you often get when pulling HTF data onto an LTF chart, while still giving you accurate levels and a smooth, tradeable line.
* **Per-slot label text controls:**
Each MA group has toggles to control exactly what the label shows:
* `Show Label` – show/hide label entirely
* `Slope` – append slope % to the label
* `Len+Type` – show e.g. `50EMA` or `200MA`
* `TF` – show HTF name if the slot is on an MTF
* `'slope' text` – optionally include the word `slope` in the label
* **Slope % (angle) logic:**
Slope for each MA uses a normalized **“angle %” in **, based on the 1-bar change vs `syminfo.mintick`.
* Big positive values = strong uptrend
* Big negative values = strong downtrend
* Near zero = flat/neutral
This makes it easy to build rules like:
* “Only trade long if the **50EMA slope** is above +20% and price is above VWAP”
* “Take profit if slope on my faster MA collapses back toward 0.”
### Typical use
* Slot 1–2: **fast intraday EMAs** (e.g., 9 / 20 EMA)
* Slot 3–4: **structural EMAs/MAs** (e.g., 50 / 200)
* Slot 5: a **dedicated MTF trend filter** (e.g., 5-minute or 1-hour EMA on a 1-minute chart)
---
## 2. VWAP Engine + Bands — Anchor-Aware, Angle-Aware VWAP
**Group:** `Enable VWAP` + `------ VWAP Settings ------`, `Bands Settings`, `Color Settings`
### Core VWAP
* **Anchors:**
`Anchor Period` lets you choose where each VWAP reset starts:
* `Session` (day session VWAP, perfect for intraday)
* `Week`, `Month`, `Quarter`, `Year`, `Decade`, `Century`
* Corporate events: `Earnings`, `Dividends`, `Splits`
This lets you build VWAP logic around:
* **Intraday mean reversion** (Session VWAP + bands)
* **Swing anchor VWAPs** (Weekly/Monthly)
* **Event-based anchors** (earnings/dividend/split reaction)
* **Hide on DWM:**
`Hide VWAP on 1D or Above` lets you keep intraday VWAP from cluttering higher-TF charts.
* **Angle/Trend Detection:**
The VWAP engine computes a **regression slope** over each anchor segment and converts it to an **angle %**:
* `Angle Lookback (bars)` controls how many bars are used
* `Angle Trend Threshold (%)` sets the threshold where a slope is considered “trending”
With `Color VWAP by Trend` enabled:
* Uptrend > threshold → VWAP turns **trend up color** (e.g., lime)
* Downtrend < −threshold → VWAP turns **trend down color** (e.g., red)
* Inside threshold → VWAP uses a neutral color
You can also set separate **line widths** for neutral vs trend state and transparency to give a “Hull-style” visual feel.
* **VWAP Labels:**
You get a single, de-duplicated VWAP label on the last bar with:
* Optional **name** (`VWAP`)
* Optional **price** (`$xxx.xx`)
* Optional **angle %** and optional `"slope"` word
* Global **label size** for VWAP + bands
### VWAP Bands
* **Calc modes:**
`Bands Calculation Mode`:
* `Standard Deviation` – classic VWAP ± n * σ
* `Percentage` – bands as a fixed % of VWAP
* **Bands 1-3:**
Each band has:
* Visibility toggle, independent multiplier (`×`)
* Separate **upper/lower colors** per band
* Optional **fill** between upper/lower for each band
* Label toggles:
* `Show All Labels`
* `Show Band #X Label`
* `Band Labels: Show Names` (VWAP+1, VWAP-1, etc.)
* `Band Labels: Show Prices`
This lets you configure anything from a minimalist “just VWAP + 1 band” view to a full 3-band ladder.
### VWAP Highlight Fill
* **Premium/discount shading**:
Optional fill that shades:
* Region **above VWAP** when price is above (e.g., greenish)
* Region **below VWAP** when price is below (e.g., reddish)
This makes it extremely easy to see when price is trading at **premium vs discount** relative to the current anchor VWAP.
### Typical use
* Intraday scalpers: Session VWAP + 1–2 bands + highlight fill
* Swing traders: Weekly/Monthly VWAP + only the main line and label
* Event traders: Earnings-anchored VWAP, tracking post-earnings drift
---
## 3. Bollinger Bands — Volatility-Aware BB with Gradient Fill
**Group:** `Enable Bollinger Bands` + `------ Bollinger Band settings ------`
### What it adds
A clean Bollinger Band overlay designed to play nicely with the VWAP/MA stack:
* `Bollinger Bands Length` (default 20)
* `Bollinger Bands Multiplier` (default 2.0)
* `BB Basis Color` & **line width**
* Upper/lower bands colored based on **width change**:
* Expanding volatility → `BB Expanding Color`
* Contracting volatility → `BB Contracting Color`
You can also toggle:
* `Show Center Line MA Label` – prints something like `20ma` on the last bar.
* `Enable Gradient Background Fill` – draws a gradient between price and the bands:
* `Gradient Fill Up Color` for below-price fill
* `Gradient Fill Down Color` for above-price fill
### Why it’s unique here
Instead of just static bands, this implementation **flags volatility regimes** (expansion vs contraction) via color and optional gradient. That pairs nicely with ATR Fibs and VWAP:
* Use **BB contraction (squeeze)** + flat VWAP angle to anticipate breakouts.
* Use BB + VWAP bands to filter which “touches” are genuinely overextended.
---
## 4. Dixson Adaptive Trend Channel (ATC) — Short-Term & Long-Term Log Channels
**Master toggle:** `Enable Adaptive Trend Channel`
**Groups:** `------ Dixson ATC Settings ------`, `Short-Term Channel Settings`, `Long-Term Channel Settings`, `Short-Term Midline Settings`, `Long-Term Midline Settings`, `Channel Trend Background Fill Settings`, `Short-Term Table Settings`, `Long-Term Table Settings`
### Under the hood
ATC is a **log-scale regression channel engine** that automatically:
1. Scans a set of candidate periods.
* **Short-term:** 20 → 200 bars
* **Long-term:** 300 → 1200 bars
2. For each period, it computes:
* Log-price regression slope & intercept
* Standard deviation of residuals
* A Pearson-style R value (trend “strength”)
3. Picks the period with the **highest correlation (|R|)** and uses that as the **detected trend length**.
This yields a **data-driven channel** that adapts to whatever trend the market is actually respecting.
> For long-term stats, annualized return only makes sense on **daily/weekly** charts. On intraday charts, treat the “Annual Return” purely as informational.
### Short-Term Channel
Controls in `Short-Term Channel Settings` + `Short-Term Midline Settings`:
* `Show Short-Term Channel` – on/off
* `Deviation Multiplier (Short-Term)` – how wide the channel is (in standard deviations)
* **Upper/Lower colors**, line width, style (Solid/Dotted/Dashed), transparency
* `Line Extension Style` – Extend Right / Extend Both / Extend None / Extend Left
Optional **Short-Term Midline**:
* Toggle + color, style, width, transparency
* Tracks the regression line itself (center of the channel)
Background fill:
* `Enable ST Background Fill` with separate **ST Uptrend** / **ST Downtrend** colors
* Trend direction is inferred from regression slope sign
### Long-Term Channel
Mirrors the ST controls with its own group:
* `Show Long-Term Channel`
* `Deviation Multiplier (Long-Term)`
* Upper/Lower channel colors, thickness, style, transparency
* `Line Extension Style`
* Optional Long-Term midline + colors/styles
* Optional **background fill** with separate colors for up vs down
You can run **both channels at once**, giving a panel of:
* **Macro trend structure** (Long-Term ATC)
* **Current swing trend** (Short-Term ATC)
* MAs, VWAP, and Auto Fibs on top for entries/exits
### Trend Info Tables
Each channel has its own table options:
* `Show Detected Period` (bars used)
* `Show Trend Strength` – either:
* Descriptive text: “Extremely Weak” → “Ultra Strong”, or
* Raw Pearson R value if `Show Pearson R` is enabled
* `Show Annualized Return` (when timeframe is daily/weekly)
* Table position (`Top Left`, `Bottom Right`, etc.)
* Text size (`Small`, `Normal`, `Large`)
These tables quantify:
* Over what lookback the trend is being measured
* How “clean” that trend is
* What the approximate annualized performance of that trend has been
---
## 5. Dixson Auto Fibonacci Suite — ATR Fibs + Lookback Fibs + Shared Fib Bank
**Master toggle:** `Enable Auto Fibonacci`
**Groups:** `Dixson Auto Fibonacci`, `ATR Auto Fib`, `Previous ATR Fib`, `Lookback Auto Fib`, `Lookback Anchor Overrides`, `Fibonacci Levels`
You get **two separate engines** (ATR-based and Lookback-based) that both draw from the **same customizable Fib bank**, with optional log scaling.
---
### 5.1 Global Auto Fib Settings
* `Logarithmic Scale`
* When ON, Fib levels are interpolated in log-space (better for assets that move in percentages).
* When OFF, interpolation is linear in price.
This applies to **both** the ATR and Lookback engines.
---
### 5.2 ATR Auto Fib (Rail-Based, Supertrend-Driven)
**Groups:** `ATR Auto Fib`, `Previous ATR Fib`
The ATR engine builds **“rails”** that hug price without letting candles touch them, then projects Fib levels between these anchors.
#### How it works
1. Uses built-in `ta.supertrend` with:
* `ATR Period`
* `ATR Multiplier`
2. Builds dynamic **upper and lower rails** around price:
* Uses ATR to define a **proximity gap** (`Proximity (×ATR)`) so rails stay **just outside the wicks** (no-touch behavior).
* Smooths raw highs/lows slightly (RMA) to avoid spiky rails.
* Ensures the upper rail is always ≥ high+gap and lower rail ≤ low−gap.
3. The **direction** (uptrend/downtrend) is inferred from the Supertrend direction:
* On trend flips, the script:
* Captures the prior rail pair as a **“previous segment”**
* Starts a new rail segment in the new direction
4. From these rails, the script draws **directional Fib “ladders”**:
* For the **current ATR Fib**:
* The Fib is drawn from one anchor to the other depending on the trend sign.
* Rays are projected `Ray Length` bars to the right of `Current Offset`.
* For the **previous ATR Fib**:
* The last completed segment’s start/end rails are used as anchors
* Rays are projected using `Prev Fib Offset` and `Prev Fib Length`
#### Current ATR Fib controls
* `Enable ATR Fib` – toggles current ATR Fib bank
* `ATR Period`, `ATR Multiplier` – control the “engine” behind the rails and ST logic
* `Current Offset`, `Ray Length` – where and how far rays are drawn
* `Show Level Text`, `Show Price`, `Display % not ratio` – label style
* `Label Size (Current ATR Fib)` – for all current ATR Fib labels
Visual extras:
* `Plot Hi/Low Anchor Lines` – shows upper/lower rails
* `Plot ATR Trailing Stop` – shows clamped Supertrend as a continuous line
#### Previous ATR Fib controls
* `Enable Prev ATR Fib` – toggles previous segment ladders
* Independent `Prev Fib Offset`, `Prev Fib Length`
* Separate label controls:
* `Show Level Text (Prev)`
* `Show Price (Prev)`
* `Display % not ratio (Prev)`
* `Label Size (Previous ATR Fib)`
Use the **current ATR Fib** as your active trading “ladder” and the **previous ATR Fib** to track recently broken structure and potential retest zones.
---
### 5.3 Lookback Auto Fib — HH/LL-Driven Fib Bank, MTF + Manual Overrides
**Group:** `Lookback Auto Fib` + `Lookback Anchor Overrides`
This engine draws Fibs between **highest high** and **lowest low** within a given lookback window on a chosen timeframe.
#### How it works
1. Select higher timeframe:
* `Lookback Timeframe` (empty = chart timeframe)
2. Choose your range:
* `Lookback Bars` – number of bars on the selected TF to scan for extremes
3. Optionally allow look-ahead:
* `Look-ahead Bars (repainting)`
* `0` = no look-ahead (no forward info, no repainting)
* `>0` = uses `barmerge.lookahead_on` for forward-looking extremes (can repaint)
4. For that range, the script finds:
* Highest high + its bar offset
* Lowest low + its bar offset
5. Trend direction is determined by **which extreme is more recent**:
* Recent high → **down** direction (high → low)
* Recent low → **up** direction (low → high)
6. Manual direction overrides:
* `Force Uptrend` / `Force Downtrend` – override the auto decision
7. Manual anchor overrides:
* `Manual Anchor High (LB)`
* `Manual Anchor Low (LB)`
If both are set, those become the anchors and direction is deduced from which is higher.
8. The engine then draws a **directional Fib ladder**:
* Anchors between high/low based on direction
* Rays extend `Lookback Fib Length` bars from `Lookback Fib Offset`
#### Label controls
* `Show Level Text`, `Show Price`, `Display % not ratio`
* `Label Size (Lookback Fib)`
* Labels are prefixed with `LB` to distinguish them from ATR Fibs.
This engine is ideal for:
* **Swing structure mapping:** Drawing Fibs across the last major swing on the HTF.
* **Confluence:** Aligning Lookback Fibs with ATR Fibs, ATC channel boundaries, and VWAP bands.
---
### 5.4 Shared Fibonacci Levels — Fully Custom Fib Bank for Both Engines
**Group:** `Fibonacci Levels`
The ATR and Lookback engines **both** use the same Fib bank:
* **Ratios provided by default:**
* 0.000
* 0.146
* 0.236
* 0.382
* 0.500
* 0.618
* 0.650
* 0.707
* 0.786
* 0.886
* 1.000
* 1.130
* 1.272
* 1.618
* 2.000
Each ratio has its own:
* `Enable Level X.XXX`
* `Level X.XXX` (the actual ratio – fully editable)
* `Thickness X.XXX` (line width)
* `Style X.XXX` (Solid / Dashed / Dotted)
* `Color X.XXX` (line + label color)
Adjusting a level here **instantly updates both** ATR and Lookback ladders. This makes it very easy to:
* Run “standard” Fib sets for classic retracements
* Or define your **own Fib presets** (e.g., 0.25 / 0.5 / 0.75, or custom extension clusters)
---
## How to Use & Suggested Workflows
**Scalpers / 0DTE / Intraday:**
* Enable:
* MA/EMA pack (fast EMAs + one MTF slot)
* VWAP (Session anchor) + 1–2 VWAP bands + highlight fill
* ATR Auto Fib (current + previous)
* Optionally hide:
* Lookback Fibs
* Long-Term ATC (unless you want HTF bias on your intraday chart)
Use slope labels, VWAP angle %, and ATR Fib ladders to structure trades around pullbacks, mean reversion, and breakouts.
**Swing / Position traders:**
* Turn on:
* Long-Term ATC (with table)
* Short-Term ATC for swing structure
* Lookback Auto Fib on a higher timeframe (e.g., D on 4H chart)
* Keep VWAP anchored to Week or Month, and MA slots for key reference MAs.
Use ATC channels for **trend structure**, Lookback Fibs for **swing levels**, and long VWAPs for **value zones**.
---
## Final Notes & Disclaimer
* Works on **all symbols** and **all timeframes**, but some stats (like “Annualized Return”) are only meaningful on **daily/weekly** data.
* Some options (like Look-ahead mode for Lookback Fibs) can **repaint** on purpose. These are clearly labeled — use them only if you understand and want forward-looking behavior.
* This script does **not** place trades. It is a visual / analytical tool only.
* Nothing in this indicator or description is financial advice. Always do your own research, forward-test, and manage risk appropriately.
If you have **invite-only access** to **Dixsons Tackle Box**, you’re getting the full Dixson overlay stack in one place — designed to be the central “hub” for your chart, not just another line on it.
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
Pivot Reversal Signals - Multi ConfirmationPivot Reversal Signals - Multi-Confirmation System
Overview
A comprehensive reversal detection indicator designed for daytraders that combines six independent technical signals to identify high-probability pivot points. The indicator uses a scoring system to classify signal strength as Weak, Medium, or Strong based on the number of confirmations present.
How It Works
The indicator monitors six key reversal signals simultaneously:
1. RSI Divergence - Detects when price makes new highs/lows but RSI shows weakening momentum
2. MACD Divergence - Identifies divergence between price action and MACD histogram
3. Key Level Touch - Confirms price is at significant support/resistance (previous day high/low, premarket high/low, VWAP, 50 SMA)
4. Reversal Candlestick Patterns - Recognizes bullish/bearish engulfing, hammers, and shooting stars
5. Moving Average Confluence - Validates bounces/rejections at stacked moving averages (9/20/50)
6. Volume Spike - Confirms increased participation (default: 1.5x average volume)
Signal Strength Classification
• Weak (3/6 confirmations) - Small circles for situational awareness only
• Medium (4/6 confirmations) - Regular triangles, viable entry signals
• Strong (5-6/6 confirmations) - Large triangles with background highlight, highest probability setups
Visual Features
• Entry Signals: Green triangles (up) for long entries, red triangles (down) for short entries
• Exit Warnings: Orange X markers when opposing signals appear
• Signal Labels: Show confirmation score (e.g., "5/6") and strength level
• Key Levels Displayed:
o Previous Day High/Low - Solid green/red lines (uses actual daily data)
o Premarket High/Low - Blue/orange circles (4:00 AM - 9:30 AM EST)
o VWAP - Purple line
o Moving Averages - 9 EMA (blue), 20 EMA (orange), 50 SMA (red)
• Background Tinting: Subtle color on strongest reversal zones
Key Level Detection
The indicator uses request.security() to accurately fetch previous day's high/low from daily timeframe data, ensuring precise level placement. Premarket high/low levels are dynamically tracked during premarket sessions (4:00 AM - 9:30 AM EST) and plotted throughout the trading day, providing critical support/resistance zones that often influence price action during regular hours.
Customizable Parameters
• Signal strength thresholds (adjust required confirmations)
• RSI settings (length, overbought/oversold levels)
• MACD parameters (fast/slow/signal lengths)
• Moving average periods
• Volume spike multiplier
• Toggle individual display elements (levels, MAs, labels)
Best Practices
• Use on 5-minute charts for entries, confirm on 15-minute for direction
• Focus on Medium and Strong signals; Weak signals provide context only
• Strong signals (5-6 confirmations) have the highest win rate
• Pay special attention to reversals at premarket high/low - these levels frequently hold
• Previous day high/low often acts as major support/resistance
• Always use proper risk management and stop losses
• Works best in moderately trending markets
Alert Capabilities
Set custom alerts for:
• Strong long/short signals
• All entry signals (medium + strong)
• Exit warnings for open positions
Ideal For
• Daytraders and scalpers (especially SPY, QQQ, and liquid equities)
• Swing traders seeking precise entries
• Traders who prefer confirmation-based systems
• Anyone looking to reduce false signals with multi-factor validation
• Traders who utilize premarket levels in their strategy
Technical Notes
• Uses Pine Script v6
• Premarket hours: 4:00 AM - 9:30 AM EST
• Previous day levels pulled from daily timeframe for accuracy
• Maximum 500 labels to maintain chart performance
• All key levels update dynamically in real-time
________________________________________
Note: This indicator provides signal analysis only and should be used as part of a complete trading strategy. Past performance does not guarantee future results. Always practice proper risk management.
z8u Daily & Weekly Key Levels (Extended)1. OVERVIEW
------------------------------------------------------------------------
The "Daily & Weekly Key Levels" indicator is a charting tool designed to
visualize critical auction market structures. It overlays automated
historical price data (Previous Day/Week Highs and Lows) with manual
inputs for Volume Profile levels (VAH, VAL, POC) and Institutional
"Kickoff" levels.
It is designed to replicate specific institutional styling, allowing
traders to see where the market is balancing relative to previous sessions.
2. FEATURES
------------------------------------------------------------------------
Automated Lookback:
Automatically calculates previous Day's High/Low/Settlement and
previous Week's High/Low.
Hybrid Input System:
Allows manual entry for data points that require specific feed
accuracy (Value Area High, Value Area Low, POC).
Clean Charting:
Manual levels default to '0.0'. If no price is entered in the
settings, the lines remain invisible to keep the chart clean.
Custom Styling:
Colors and line weights are pre-configured to match standard
Volume Profile aesthetics.
4. CONFIGURATION (INPUTS TAB)
------------------------------------------------------------------------
To see the Volume Profile and Kickoff lines, you must enter prices
manually in the indicator settings.
1. Double-click the indicator line on the chart (or the gear icon).
2. Go to the "Inputs" tab.
3. Enter the price levels for the current session:
- Yesterday's Value Area High Price
- Yesterday's VPOC Price
- Yesterday's Value Area Low Price
- Weekly Kickoff Low Price
- Weekly Kickoff High Price
*Note: If you leave a value as 0.0, that specific line will not be drawn.*
5. COLOR LEGEND (STYLE TAB)
------------------------------------------------------------------------
The lines are color-coded as follows:
Last Week's High
Yesterday's High
Yesterday's Value Area High (VAH)
Yesterday's VPOC (Volume Point of Control)
Settlement (Previous Close)
Yesterday's Value Area Low (VAL)
Yesterday's Low
Weekly Kickoff Low
Weekly Kickoff High
Last Week's Low
6. DISCLAIMER
------------------------------------------------------------------------
This tool is for informational and educational purposes only. It does not
constitute financial advice. Trading futures and financial markets
involves substantial risk of loss.
14 minutes ago
Release Notes
UPDATE
*Added Extend Levels to the Right Toggle
(CRT) MTF Candle Range Theory Model# 🚀 **CASH Pro MTF – Candle Range Theory (CRT) Indicator**
**The Smart Money ICT Setup Detector** 🔥
Hey Traders!
Here is the **ultimate Pine Script indicator** that automatically detects one of the most powerful Smart Money / ICT setups: **Candle Range Theory (CRT)**
---
### What is Candle Range Theory – CRT?
**CRT** is a high-probability price action model based on **liquidity grabs** and **range expansion**.
Price loves to:
1️⃣ Raid the low/high of the previous candle (take stop-losses)
2️⃣ Then reverse and run to the opposite side of the range (or beyond)
When this happens near a **key higher-timeframe level**, magic happens!
### Bullish CRT Model
- Price touches a **strong HTF support**
- Previous candle closes near that support
- Next candle **sweeps the low** (grabs liquidity)
- Current candle **closes above the raided low AND breaks the high** of the sweep candle
**Result → Aggressive bullish move expected!**
**Entry:** On close above the high (or on retest + MSS)
**Stop Loss:** Below the swept low
**Take Profit:** CRT High or next liquidity pool
### Bearish CRT Model
- Price touches a **strong HTF resistance**
- Previous candle closes near resistance
- Next candle **sweeps the high** (grabs buy stops)
- Current candle **closes below the raided high AND breaks the low** of the sweep candle
**Result → Strong bearish expansion!**
**Entry:** On close below the low
**Stop Loss:** Above the swept high
**Take Profit:** CRT Low or next downside liquidity
This whole setup can form in **just 3 candles**… or sometimes more if price consolidates after the sweep.
---
### Why This Indicator is Special
This is **NOT** a simple 3-candle pattern scanner!
This is a **true CRT + MTF confluence beast** with:
- **Multi-Timeframe Confirmation** (default 4H – fully customizable)
- **Built-in RSI Filter** (avoid fake moves in overbought/oversold)
- **Day-2 High/Low Levels** automatically drawn (the exact CRT range!)
- **Clean “LONG” / “SHORT” labels** right on the candle (no ugly arrows or offset)
- **Background highlight** on signal
- **Fully grouped inputs** – super clean settings panel
---
### Features at a Glance
| Feature | Included |
|--------------------------------|----------|
| Higher Timeframe Confirmation | Yes |
| RSI Overbought/Oversold Filter | Yes |
| Day-2 High/Low Lines + Labels | Yes |
| Clean Text Signals (no offset) | Yes |
| Background Highlight | Yes |
| Fully Customizable Colors & Text| Yes |
| Works on All Markets & TFs | Yes |
---
### How to Use
1. Add the indicator to your chart
2. Wait for a **LONG** or **SHORT** label to appear
3. Confirm price is near a **key HTF level** (order block, FVG, etc.)
4. Enter on close or retest (your choice)
5. Manage risk with the drawn Day-2 levels
**Pro Tip:** Combine with ICT Market Structure Shift (MSS) or Fair Value Gaps for even higher accuracy!
Chop + MSS/FVG Retest (Ace v1.6) – IndicatorWhat this indicator does
Name: Chop + MSS/FVG Retest (Ace v1.6) – Indicator
This is an entry model helper, not just a BOS/MSS marker.
It looks for clean trend-side setups by combining:
MSS (Market Structure Shift) using swing highs/lows
3-bar ICT Fair Value Gaps (FVG)
First retest back into the FVG
A built-in chop / trend filter based on ATR and a moving average
When everything lines up, it plots:
L below the candle = Long candidate
S above the candle = Short candidate
You pair this with a higher-timeframe filter (like the Chop Meter 1H/30M/15M) to avoid pressing the button in garbage environments.
How it works (simple explanation)
Chop / Trend filter
Computes ATR and compares each bar’s range to ATR.
If the bar is small vs ATR → more likely CHOP.
If the bar is big vs ATR → more likely TREND.
Uses a moving average:
Above MA + TREND → trendLong zone
Below MA + TREND → trendShort zone
MSS (Market Structure Shift)
Uses swing highs/lows (left/right bars) to track the last significant high/low.
Bullish MSS: close breaks above last swing high with displacement.
Bearish MSS: close breaks below last swing low with displacement.
Those events are marked as tiny triangles (MSS up/down).
A MSS only stays “valid” for a certain number of bars (Bars after MSS allowed).
3-bar ICT FVG
Bullish FVG: low > high
→ gap between bar 3 high and bar 2 low.
Bearish FVG: high < low
→ gap between bar 3 low and bar 2 high.
The indicator stores the FVG boundaries (top/bottom).
Retest of FVG
Watches for price to trade back into that gap (first touch).
That retest is the “entry zone” after the MSS.
Final Long / Short condition
Long (L) prints when:
Recent bullish MSS
Bullish FVG has formed
Price retests the bullish FVG
Environment = trendLong (ATR + above MA)
Not CHOP
Short (S) prints when:
Recent bearish MSS
Bearish FVG has formed
Price retests the bearish FVG
Environment = trendShort (ATR + below MA)
Not CHOP
So the L/S markers are “model-approved entry candles”, not just any random BOS.
Inputs / Settings
Key inputs you’ll see:
ATR length (chop filter)
How many bars to use for ATR in the chop / trend filter.
Lower = more sensitive, twitchy
Higher = smoother, slower to change
Max chop ratio
If barRange / ATR is below this → treat as CHOP.
Min trend ratio
If barRange / ATR is above this → treat as TREND.
Hide MSS/BOS marks in CHOP?
ON = MSS triangles disappear when the bar is classified as CHOP
Keeps your chart cleaner in consolidation
Swing left / right bars
Controls how tight or wide the swing highs/lows are for MSS:
Smaller = more sensitive, more MSS points
Larger = fewer, more significant swings
Bars after MSS allowed
How many bars after a MSS the indicator will still allow FVG entries.
Small value (e.g. 10) = MSS must deliver quickly or it’s ignored.
Larger (e.g. 20) = MSS idea stays “in play” longer.
Visual RR (for info only)
Just for plotting relative risk-reward in your head.
This is not a strategy tester; it doesn’t manage positions.
What you see on the chart
Small green triangle up = Bullish MSS
Small red triangle down = Bearish MSS
“L” triangle below a bar = Long idea (MSS + FVG retest + trendLong + not chop)
“S” triangle above a bar = Short idea (MSS + FVG retest + trendShort + not chop)
Faint circle plots on price:
When the filter sees CHOP
When it sees Trend Long zone
When it sees Trend Short zone
You do not have to trade every L or S.
They’re there to show “this is where the model would have considered an entry.”
How to use it in your trading
1. Use it with a higher-timeframe filter
Best practice:
Use this with the Chop Meter 1H/30M/15M or some other HTF filter.
Only consider L/S when:
Chop Meter = TRADE / NORMAL, and
This indicator prints L or S in the right location (premium/discount, near OB/FVG, etc.)
If higher-timeframe says NO TRADE, you ignore all L/S.
2. Location > Signal
Treat L/S as confirmation, not the whole story.
For shorts (S):
Look for premium zones (previous highs, OBs, fair value ranges above mid).
Want purge / raid of liquidity + MSS down + bearish FVG retest → then S.
For longs (L):
Look for discount zones (previous lows, OBs/FVGs below mid).
Want stop raid / purge low + MSS up + bullish FVG retest → then L.
If you see L/S firing in the middle of a bigger range, that’s where you skip and let it go.
3. Instrument presets (example)
You can tune the ATR/chop settings per instrument:
MNQ (noisy, 1m chart):
ATR length: 21
Max chop ratio: 0.90
Min trend ratio: 1.40
Bars after MSS allowed: 10
GOLD (cleaner, 3m chart):
ATR length: 14
Max chop ratio: 0.80
Min trend ratio: 1.30
Bars after MSS allowed: 20
You can save those as presets in the TV settings for quick switching.
4. How to practice with it
Open replay on a couple of days.
Check Chop Meter → if NO TRADE, just observe.
When Chop Meter says TRADE:
Mark where L/S printed.
Ask:
Was this in premium/discount?
Was there SMT / purge on HTF?
Did the move actually deliver, or did it die?
Screenshot the A+ L/S and the ugly ones; refine:
ATR length
Chop / trend thresholds
MSS lookback
Your goal is to get it to where:
The L/S marks show up mostly in the same places your eye already likes,
and you ignore the rest.
Trend Line Methods (TLM)Trend Line Methods (TLM)
Overview
Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis.
Method 1 – Pivot Span Trendline
The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows.
• The script tracks a configurable number of recent pivot highs and lows.
• From the oldest and most recent stored pivot highs, it draws an upper trend line.
• From the oldest and most recent stored pivot lows, it draws a lower trend line.
• An optional filled area can be drawn between the two lines to highlight the active trend span.
As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points.
Method 2 – 5-Point Straight Channel
The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window.
Within the selected window:
• The window is divided into five segments of similar length.
• In each segment, the highest high is used as a representative high point.
• In each segment, the lowest low is used as a representative low point.
• A straight regression-style line is fitted through the five high points to form the upper boundary.
• A second straight line is fitted through the five low points to form the lower boundary.
The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market.
Inputs & Menus
Pivot Span Trendline group (Method 1)
• Enable Pivot Span Trendline – Turns Method 1 on or off.
• High trend line color / Low trend line color – Colors of the upper and lower trend lines.
• Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally.
• Trend line thickness – Line width for both high and low trend lines.
• Trend line style – Line style (solid, dashed, or dotted).
• Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points.
• Pivot Count – How many historical pivot points are kept for constructing the trend lines.
• Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart.
5-Point Straight Channel group (Method 2)
• Enable 5-Point Straight Channel – Turns Method 2 on or off.
• High channel line color / Low channel line color – Colors of the upper and lower channel lines.
• Channel line thickness – Line width for both channel lines.
• Channel line style – Line style (solid, dashed, or dotted).
• Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel.
Using Both Methods Together
Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window.
When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan.
Notes
• This script is meant as an educational and analytical tool for studying trend lines and channels.
• It does not generate trading signals and does not replace independent analysis or risk management.
• The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
FLD 3DFLD 3D - Future Lines of Demarcation Indicator
═══════════════════════════════════════════════════
THEORETICAL FOUNDATION
═══════════════════════════════════════════════════
This indicator implements Future Lines of Demarcation (FLD), a key concept from J.M. Hurst's cyclic analysis theory. FLDs are price-based lines displaced forward in time by half the wavelength of a dominant cycle, creating a predictive framework for price movement analysis.
The core principle: when price crosses an FLD line, it indicates a potential change in the current cycle phase. FLDs act as dynamic support/resistance levels that "anticipate" where price should be based on the dominant cycle's rhythm.
═══════════════════════════════════════════════════
CALCULATION METHODOLOGY
═══════════════════════════════════════════════════
The indicator calculates three FLD lines:
1. FLD HIGH: Takes the bar's high price and shifts it forward by offset bars
2. FLD LOW: Takes the bar's low price and shifts it forward by offset bars
3. FLD MEDIAN: Calculates a median price using the selected method, then shifts forward
The offset is calculated as: offset = Period / 2
This displacement represents the half-cycle concept: if a cycle has a period of 48 bars, the FLD will be displaced 24 bars into the future. This creates a "lead" indicator that shows where price should theoretically be based on the cycle's wave pattern.
PRICE METHODS AVAILABLE:
- HL2: (High + Low) / 2 - Simple midpoint
- HLC3: (High + Low + Close) / 3 - Weighted with close
- HLCC4: (High + Low + Close + Close) / 4 - Close has double weight
- OHLC4: (Open + High + Low + Close) / 4 - Full bar average
- VWAP-like: Volume-weighted high/low average
- True Range: Uses previous close for range calculation
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AUTO-PERIOD ADJUSTMENT FEATURE
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The indicator includes multi-timeframe adaptation logic. When "Auto Period" is enabled:
1. Detects current chart timeframe (minutes, hours, days, weeks)
2. Compares it to the reference timeframe setting
3. Calculates adjustment ratio: Reference TF / Current TF
4. Applies ratio to base period: Adjusted Period = Base Period × Ratio
Example: If Base Period = 48, Reference TF = 60min, Current chart = 15min
→ Ratio = 60/15 = 4
→ Adjusted Period = 48 × 4 = 192 bars
This ensures the indicator tracks the same real-time cycle length across different chart timeframes, maintaining consistency in cycle analysis.
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VISUAL COMPONENTS
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- RED LINE: FLD High (upper boundary)
- BLUE LINE: FLD Low (lower boundary)
- ORANGE LINE: FLD Median (centerline)
- GRAY AREA: Fills between High and Low FLDs
- RIGHT LABEL: Shows FLD identifier and period used (asterisk indicates auto-adjustment)
All lines extend into the future by the calculated offset, creating a "projection zone" ahead of current price.
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ACKNOWLEDGMENTS
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This work is inspired by the Italian cyclic analysis community and dedicated educators. Due to TradingView's House Rules on promotional content, I cannot mention specific names or groups, but my gratitude goes to those who know they contributed to this development through their teaching and guidance. Thank Emiliano!
Daily Levels (StevenCharts)The Daily Levels (StevenCharts) indicator is a comprehensive, all-in-one tool designed for intraday traders. It automatically plots all critical daily price levels, including the premarket high/low, previous day's high/low/close, and the current day's developing range (HOD/LOD).
What makes this indicator unique is its dynamic Fibonacci range that adapts to the day's price action and its "smart" labeling system that provides contextual clues (like "Swept" vs. "Broken") and combines labels to reduce chart clutter.
Key Features
Dynamic Reversing Fibs: The Fibonacci levels are drawn based on the current day's High-of-Day (HOD) and Low-of-Day (LOD). The range automatically reverses direction based on which extreme (HOD or LOD) was most recently made, providing relevant pullback targets in real-time.
"Golden Zone" Pullback Alert: The script includes a built-in alert that triggers when price makes a new HOD or LOD and then pulls back to touch the "Golden Zone" (defined between the 0.50 and 0.618 levels), signaling a potential continuation setup.
Smart "Swept" vs. "Broken" Logic: Levels like PDH, PDL, PMH, and PML aren't just static lines. The script intelligently labels them as "Swept" if price wicks past them or "Broken" if price closes and holds beyond them, giving you immediate contextual insight.
Clutter-Free "Combination" Labels: To keep your chart clean, the script automatically combines labels. If the day's high is also the premarket high, the label will read "HOD + PMH" instead of two overlapping labels.
Accurate RTH Previous Close: The script specifically requests the "Regular Trading Hours" (RTH) data to plot the official 4 PM EST previous day close (PDC), avoiding inaccuracies from extended hours data.
Full Level Plotting:
Current Day High-of-Day (HOD) & Low-of-Day (LOD)
Premarket High (PMH) & Low (PML) (locked in at 9:30 AM EST)
Previous Day's High (PDH) & Low (PDL)
Previous Day's Official RTH Close (PDC)
How to Use
This indicator provides a complete framework for intraday analysis.
Identify Key Levels: At the start of the session, all key levels (PDH/L, PMH/L, PDC) are clearly plotted, defining the initial areas of potential support and resistance.
Track the Trend: As the day progresses, watch the dynamic Fibs. If the market is making new highs, the Fibs will be drawn from the HOD down, showing pullback zones. If the market is making new lows, the Fibs will be drawn from the LOD up, showing bounce zones.
Use the Alert: The "Golden Zone Touch" alert is the primary trading setup.
For a Long: Wait for a new HOD to be set. The alert will trigger if the price then pulls back to the Golden Zone, offering a potential entry in the direction of the trend.
For a Short: Wait for a new LOD to be set. The alert will trigger if the price then bounces to the Golden Zone, offering a potential entry for a short.
Monitor Level Breaks: Use the "Swept" and "Broken" labels to confirm moves. A "Broken" level suggests a stronger, more decisive move, while a "Swept" level may indicate a stop hunt or liquidity grab.
Settings
The indicator is fully customizable. You can toggle any of the following features on or off to match your trading style:
Show Fibonacci Levels
Show Previous Day High/Low
Show Previous Day Close
Show Premarket High/Low
Liquidity Hunt Detector PDH/PDL [SmartFoxy]Liquidity Hunt Detector PDH/PDL
The Liquidity Hunt Detector (LHD) is designed to identify and anticipate liquidity grabs around the:
• Previous Day High (PDH);
• Previous Day Low (PDL).
It builds dynamic trigger levels that highlight where price may deliver its first impulse before reaching PDH/PDL.
The Liquidity Hunt Detector (LHD) identifies high-probability reversals and continuations around the Previous Day High (PDH) and Previous Day Low (PDL).
It dynamically tracks the market’s move from the session open, builds trigger levels toward PDH/PDL, and highlights where liquidity is most likely to be taken.
When price taps a Trigger Up/Down level, the indicator generates Long/Short signals with optional confirmation from the integrated MA Ribbon , ensuring only high-quality, trend-aligned setups are shown.
When price interacts with these trigger levels, the indicator generates signals that help traders evaluate the market structure and prepare for potential entries.
Designed for Forex, Crypto, Indices, Stocks , the LHD provides a clean and intuitive structure for navigating intraday liquidity grabs, session impulses, and directional bias shifts.
The indicator is built from three fully independent modules, each of which can be used separately:
Liquidity Hunt Detector (LHD)
Moving Average Ribbon (MA Ribbon)
Previous Day High/Low (PDH/PDL) levels
Liquidity Hunt Detector (LHD) Logic
1.1 Display LHD – Enables or disables the entire Liquidity Hunt Detector module.
1.2 Max Days – Number of previous days used to generate PDH/PDL levels.
1.3 GMT – Corrects all time-based calculations based on your broker/session timezone.
1.4 Calculation Method (Point A Logic)
1) Static Method
Point A = the session’s opening price.
Trigger lines are calculated strictly as a percentage of the move A → PDH or A → PDL.
Intraday fluctuations do not affect the calculation.
2) Dynamic Method
Point A updates using the current intraday high/low:
• If price forms a new low, Point A updates for the PDH-side calculations;
• If price forms a new high, Point A updates for the PDL-side calculations.
This produces trigger lines that reflect the true live market structure rather than a fixed opening reference.
1.5 Main OTT Time (Operational Trading Time)
This is the core time window during which the indicator:
• updates Point A;
• calculates trigger levels;
• validates PDH/PDL;
• draws AB / AC movement structure;
• generates entry signals.
Outside this window, no new signals or recalculations occur.
⚠ If your broker’s first candle opens at a non-standard time (e.g., 00:08), adjust the OTT start time to avoid visual artifacts.
1.6 Show Line A – Displays the opening price level (Point A) until the end of the OTT window.
Style, width, and color are customizable.
1.7 Show Line AB — Price Movement Toward PDH.
Static Method – Single line: A → PDH
Dynamic Method – Two segments:
• A → Daily Low;
• Daily Low → PDH.
If PDH is swept, the “B” label switches to Sweep PDH.
1.8 Show Line AC – Price Movement Toward PDL.
Static Method – Single line: A → PDL
Dynamic Method – Two segments:
• A → Daily High;
• Daily High → PDL.
If PDL is swept, the “C” label switches to Sweep PDL.
1.9 Show Trigger Up Line (LONG Trigger) – Defines the level where the Long signal can activate.
By default, at 50% of the A → PDH movement.
When price touches this line, the script may:
• show a LONG label;
• trigger an alert.
All visual parameters are customizable.
1.10 Show Trigger Up Line (LONG Trigger)
Same logic as Trigger Up, but based on A → PDL.
1.11 Show Main Zone (OTT Zone) – Visual background highlighting of the active OTT window.
Helps instantly see:
• whether signals are allowed;
• how much time remains in the trading window?
Color and opacity are adjustable.
1.12 Upper Zone (toward PDH) – Tracks the protected area towards PDH.
Updates dynamically with new highs.
1.13 Lower Zone (toward PDL) – Tracks the zone toward PDL.
Updates dynamically with new lows.
1.14 Show Labels – Displays reference labels (A, B, C, Trigger Up, Trigger Down).
Label size is customizable.
1.15 Add Price – Adds the exact price value to each label.
1.16 Change Color after Sweep PDH or PDL – After PDH or PDL is broken, the indicator automatically recolors lines and labels to visually confirm the sweep.
1.17 Show SHORT Label – Displays the SHORT entry label when all conditions for a bearish signal are met.
Style parameters are set in the previous blocks.
1.18 Alert on Bearish Trigger Down – Triggers an alert when the price activates the bearish trigger.
1.19 Show LONG Label – Displays the LONG entry label when bullish conditions are met.
Style parameters are set in the previous blocks.
1.20 Alert on Bullish Trigger Up – Triggers an alert when the price activates the bullish trigger.
1.21 Alerts Active Time – Defines a custom time interval during which trigger signals are allowed.
Even if price touches a trigger level,
❗ signals will NOT be generated outside this allowed time.
Useful for:
• avoiding Asian session signals;
• reducing noise in low-liquidity periods.
1.22 Labels and Alerts Display Mode
Two settings modes:
• On Trigger (Instant Mode) – Signals appear immediately when price touches the trigger.
• On Candle Close (Conservative Mode) – Signals form only after the candle closes beyond the trigger level.
A more conservative option.
1.23 Delay LHD Signal Until MA Ribbon Confirms Direction – If enabled, LHD signals will NOT fire until the MA Ribbon produces a matching directional signal.
Logic:
• Price hits the trigger → LHD conditions become “armed”;
• The indicator waits;
• When MA Ribbon confirms trend direction (Long/Short);
• The final LHD label + alert is generated.
This ensures LHD trades are filtered and aligned with MA-based trend confirmation.
⚠ Works only when the MA Ribbon module is active.
Event High/Mid/LowEvent High/Mid/Low - Data Release Level Tracker
Automatically track and visualize high, low, and mid levels from major data events like FOMC announcements, CPI releases, NFP reports, and other market-moving data releases.
KEY FEATURES:
- Customizable event input - Add unlimited events using a simple text format
- Flexible time periods - Set custom duration for each event (15min, 30min, 60min, etc.)
- Visual clarity - Color-coded lines and optional background cloud between high/low
- Clean labels - Minimalist text labels without background boxes
- Fully customizable - Toggle lines, labels, and clouds on/off independently
HOW TO USE:
1. Add the indicator to your chart
2. Open settings and edit the "Event Dates" text area
3. Enter one event per line in this format: YYYY-MM-DD HH:MM Minutes Label
Example: 2025-01-29 14:00 30 Jan FOMC
Example: 2025-02-12 08:30 30 Feb CPI
4. The indicator will automatically capture and display the high, low, and mid levels
WHAT IT DISPLAYS:
- High line (teal) - Highest price during the event period
- Low line (pink) - Lowest price during the event period
- Mid line (yellow, dotted) - Midpoint between high and low
- Background cloud (optional) - Shaded area between high and low
- Event window highlighting - Orange background during active events
PERFECT FOR:
- Tracking key support/resistance levels from economic releases
- Planning entries/exits around FOMC, CPI, NFP, and other data
- Analyzing how price reacts to major announcements
- Identifying post-event trading ranges
SUPPORTED EVENTS:
Works with any scheduled economic release - FOMC, CPI, PPI, NFP, Retail Sales, GDP, and more. Simply input the date, time, duration, and a custom label.
IMPORTANT LIMITATIONS:
- Chart timeframe must be EQUAL TO OR SMALLER than event duration
- For 30-minute events: Use 30min, 15min, 5min, 1min charts (NOT 1H, 4H, Daily)
- For 60-minute events: Use 60min, 30min, 15min, 5min, 1min charts
- For 15-minute events: Use 15min, 5min, 1min charts
- If your chart timeframe is larger than the event duration, the indicator may not capture accurate high/low values
- Recommended: Use 5-minute or 1-minute charts for maximum accuracy on all event durations
NOTES:
- All times are in EST/EDT (America/New_York timezone)
- Comments starting with # are ignored, making it easy to organize and annotate your event list
- The indicator processes events only after the specified duration has elapsed
