Smart Fixed Volume Profile [MarkitTick]💡 This comprehensive analysis suite integrates Auction Market Theory, structural gap analysis, and statistical liquidity strain modeling into a single, cohesive toolkit. Designed for traders who require a granular view of institutional order flow, this indicator overlays a Fixed Range Volume Profile with intelligent price gap classification and a volatility-adjusted exhaustion detector. By combining these three distinct analytical dimensions, it allows users to identify value consensus, structural breakouts, and potential market turns driven by liquidity shortages.
✨ Originality and Utility
While standard Volume Profiles display where trading occurred, this script advances the concept by contextually analyzing *how* price arrived at those levels. It solves the problem of isolated analysis by fusing three disparate methodologies:
Contextual Integration: It does not merely show support and resistance; it qualifies moves using "Smart Gaps" (classifying gaps based on market structure) and "Liquidity Strain" (identifying unsustainable price velocity).
Institutional Footprint: The inclusion of an "Unusual Volume" highlighter within the profile bars helps traders spot hidden institutional accumulation or distribution blocks that standard profiles miss.
Hybrid Logic: By combining a fixed-time profile (anchored to specific dates) with dynamic, developing gap analysis, it provides both a static roadmap of the past and a dynamic interpretation of current price action.
🔬 Methodology and Concepts
• Fixed Volume Profile Engine
The core of the indicator constructs a volume distribution histogram over a user-defined time window. It utilizes a custom aggregation engine that:
Fetches higher-timeframe volume and price data to ensure accuracy.
Segments the price range into specific "bins" or rows.
Allocates volume to these bins based on price action within the bar, separating Buying Volume (Up bars) from Selling Volume (Down bars).
Calculates the Point of Control (POC) —the price level with the highest traded volume—and the Value Area , which contains 70% (customizable) of the total volume centered around the POC.
• Smart Gap Logic
The script systematically identifies price gaps and classifies them based on their location relative to market pivots (Highs/Lows):
Breakaway Gaps: Occur when price gaps beyond a significant structural pivot (Lookback High/Low), signaling a potential trend initiation.
Runaway Gaps: Occur within an existing trend without breaking structure, indicating trend continuation.
Exhaustion Gaps: Identified when a gap occurs late in a mature trend (measured by bar count since the last pivot) accompanied by a volume spike, suggesting the trend is overextended.
• Liquidity Strain Detector
This module utilizes a statistical approach to measure market stress. It calculates "Illiquidity" by analyzing the ratio of True Range to Volume (Price Impact).
It applies a Logarithmic transformation to normalize the data.
It calculates a Z-Score (Standard Deviation from the mean) of this impact.
If the Z-Score exceeds a threshold (e.g., 2.0 Sigma) while the trend opposes the price move, it triggers an exhaustion signal, indicating that price is moving too easily on too little volume (thin liquidity).
🎨 Visual Guide
• Volume Profile Elements
Histogram Bars: Horizontal bars representing volume at price. Cyan indicates bullish volume; Red indicates bearish volume.
Unusual Volume Highlight: Bars with volume exceeding the average by a set factor (default 2x) are highlighted with brighter, distinct overlays to denote institutional interest.
POC Line: A solid Yellow line marking the price level with the highest volume.
VAH / VAL Lines: Dashed Blue lines marking the Value Area High and Value Area Low.
Background Box: A grey shaded area encapsulating the entire time and price range of the profile.
• Smart Gap Boxes
Blue Box (Breakaway): Marks the start of a new structural move.
Orange Box (Runaway): Marks continuation gaps in the middle of a trend.
Red Box (Exhaustion): Marks potential trend termination points.
Dotted Lines: Extend from the center of gap boxes to serve as future support/resistance levels. These boxes are automatically deleted if price "fills" or violates the gap level.
Note: This tool incorporates core components from [ Smart Gap Concepts ], optimized for this specific strategy.
• Liquidity Signals
Green Label (SE): "Seller Exhaustion" – Appears below bars in a downtrend when selling pressure is statistically overextended.
Red Label (BE): "Buyer Exhaustion" – Appears above bars in an uptrend when buying pressure is statistically overextended.
Note: This tool incorporates core components from [ Liquidity Strain Detector ], optimized for this specific strategy.
📖 How to Use
• Interactive Range Selection: This indicator features a flexible, interactive input system. Upon adding the script to your chart, execution is paused until the analysis range is defined. You will be prompted to click on the chart twice: first to establish the Start Date and second to establish the End Date. Once these anchor points are confirmed, the indicator will automatically load the data and generate the profile for the selected specific period.
● Strategies for Optimal Anchoring
the optimal starting and ending points for high-probability setups:
Swing Highs and Lows (Trend Analysis):
Anchor the Start Date at a major structural swing high or low and the End Date at the current price using the Extend to Present feature. This identifies the "Fair Value" for the entire price move .
Consolidation/Range Anchoring:
Set the Start Date at the first bar of a sideways range and the End Date at the breakout candle. This reveals the high-node volume clusters that will act as future support or resistance.
Session-Based Anchoring (Intraday):
Align the Start Date with the session open (e.g., London or New York open) to track institutional flow for that specific day .
Event-Driven Anchoring:
Place the Start Date on a significant news event or a Breakaway Gap identified by the script's Gap Engine. This helps determine if the new volume supports the direction of the gap.
Correction Cycles:
During a pullback, anchor the Start Date at the start of the correction to find the Value Area Low (VAL), which often serves as a tactical entry point for a trend continuation.
• Identifying Value:
Use the Value Area to gauge market consensus. Acceptance of price within the VA indicates balance. A breakout above VAH or below VAL suggests the market is searching for new value. The POC often acts as a magnet for price correction.
• Trading Breakouts:
Watch for Breakaway Gaps (Blue) that align with a move out of the Volume Profile's Value Area. This confluence increases the probability of a sustained trend.
• Spotting Reversals:
Combine Exhaustion Gaps (Red) with Liquidity Strain Signals (SE/BE) . If price gaps up into a low-volume node on the profile and prints a "Buyer Exhaustion" signal, it suggests the move is unsupported by liquidity and liable to reverse.
• Support and Resistance:
The extended dotted lines from the Smart Gap boxes act as dynamic support/resistance. A retest of a "Runaway Gap" is often a viable entry point for trend continuation.
⚙️ Inputs and Settings
• Global Profile:
Start/End Date: Define the exact window for the volume profile calculation.
Extend to Present: If checked, the profile updates with live data beyond the end date.
• Profile Settings:
Number of Rows: Determines the vertical resolution (granularity) of the histogram.
Value Area %: Default is 70%, representing one standard deviation of volume distribution.
Placement: Position the profile on the Left or Right of the defined range.
• Liquidity & Gaps:
Unusual Threshold: Multiplier of average volume to highlight institutional bars (default 2.0x).
Structure Lookback: Adjusts the sensitivity of pivot detection for gap classification.
Stress Threshold (Sigma): The Z-Score limit for triggering Liquidity Strain signals (default 2.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Auction Market Theory (AMT):
The script is grounded in AMT, which posits that the market's primary function is to facilitate trade. The Volume Profile visualizes this by displaying a bell curve of price distribution. The Value Area (typically 70%) corresponds to the First Standard Deviation in a normal Gaussian distribution, representing the area of "Fair Value" where buyers and sellers agree.
• Market Microstructure & Kyle’s Lambda:
The Liquidity Strain module draws conceptually from Kyle’s Lambda, a metric in market microstructure that measures market depth and price impact (Illiquidity). By calculating the ratio of price change (True Range) to Volume, the script approximates the "cost" of moving the market.
• Statistical Z-Score Normalization:
To make the liquidity data actionable, the script applies Z-Score normalization: Z = (X - μ) / σ . This converts raw illiquidity values into standard deviations from the mean. A Z-Score above +2.0 signifies a statistically significant anomaly—an outlier event where price moved excessively relative to the volume traded, often preceding a mean-reversion event.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
ניתוח מגמה
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM)
OVERVIEW
Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders.
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THE CORE PROBLEM THIS INDICATOR ADDRESSES
Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context).
SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system.
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WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER
The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow:
LAYER 1: MOMENTUM FUEL GAUGE
This answers the question: "Does the current move still have energy?"
After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors:
Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range.
Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher.
Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation.
Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime.
These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where:
- Above 70% = Strong momentum (green)
- 40-70% = Moderate momentum (amber)
- Below 40% = Weak momentum (red)
- Below 20% = Exhausted (triggers EXIT warning)
The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate.
IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy.
LAYER 2: TRAP ZONE DETECTION
This answers the question: "Am I walking into a potential reversal area?"
Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points:
How it works:
1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot).
2. Recent swing points are stored (up to 10 of each type).
3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR.
4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones.
5. A Confluence Score is calculated based on cluster density and proximity to current price.
The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal.
CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data.
LAYER 3: VELOCITY ANALYSIS
This answers the question: "Is price moving favorably right now?"
Velocity measures how fast price is currently moving compared to its recent average:
Calculation:
- Current velocity = Absolute price change from previous bar divided by ATR
- Average velocity = Simple moving average of velocity over the lookback period
- Velocity ratio = Current velocity divided by average velocity
Classification:
- FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays.
- NORMAL (ratio 0.5 to 1.5) : Typical price movement speed.
- SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult.
The velocity score contributes 18% to the overall quality score calculation.
LAYER 4: SESSION AWARENESS
This answers the question: "Is this a good time to trade?"
Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment:
Session Times (all in UTC):
- A sia Session : 00:00 - 08:00 UTC
- London Session : 08:00 - 16:00 UTC
- New York Session : 13:00 - 21:00 UTC
- London/NY Overlap : 13:00 - 16:00 UTC
- Off-Peak : Outside major sessions
Session Quality Weighting:
- Overlap : 100 points (highest liquidity, best movement)
- London : 85 points
- New York : 80 points
- Asia : 50 points (tends to range more)
- Off-Peak : 30 points (lower liquidity, more false signals)
The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours.
Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing.
LAYER 5: VOLATILITY REGIME ADAPTATION
This answers the question: "How should I adjust for current market conditions?"
SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market:
HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections.
NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply.
LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility.
This adaptation prevents false signals during erratic markets and missed signals during quiet markets.
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THE SYNERGY: WHY THIS COMBINATION MATTERS
These five layers are not independent indicators placed on one chart. They form an interconnected system:
- A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime).
- The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals.
- Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones.
- The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals.
- Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours.
This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation.
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HOW THE QUALITY SCORE IS CALCULATED
The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short):
For Long Quality Score:
- Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise
- Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20)
- Velocity Component (18% weight) : Direct velocity score
- Session Component (17% weight) : Current session quality score
- Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA
For Short Quality Score:
- Same structure but reversed (bearish impulse direction, trap zone above, price below SMA)
The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions.
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SIGNAL TYPES AND WHAT THEY MEAN
SPM generates four types of signals, each with specific visual representation:
PRIME SIGNALS (Cyan Diamond)
These represent the highest quality confluence. Requirements:
- Quality score crosses above the Prime threshold (default 80)
- Bias aligns with signal direction
- Fuel is sufficient (above 40%)
- Session is active (not off-peak)
- Cooldown period has passed
Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above.
STANDARD SIGNALS (Green Triangle Up / Red Triangle Down)
These represent good quality setups. Requirements:
- Quality score crosses above the Standard threshold (default 75) but below Prime
- Same bias, fuel, and cooldown requirements as Prime
Standard signals appear as small triangles in green (long) or red (short).
CAUTION SIGNALS (Small Faded Circle)
These represent minimum threshold setups. Requirements:
- Quality score crosses above the Caution threshold (default 65) but below Standard
- Same additional requirements
Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions.
EXHAUSTION SIGNAL (Purple X with "EXIT" text)
This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to:
- Consider exiting existing positions
- Avoid entering new trades in the current direction
- Wait for new momentum to develop
All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars.
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READING THE CHART ELEMENTS
TRAP ZONES (Red Dashed Box with "TRAP XX%" Label)
These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity.
How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it.
ENTRY ZONES (Green Solid Box with "ENTRY" Label)
These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance).
How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur.
TARGET ZONES (Blue Dotted Box with "TARGET" Label)
These project potential take-profit areas based on ATR multiples, adjusted for:
- Current volatility regime (wider in high volatility, tighter in low)
- Impulse direction (larger targets when aligned with impulse)
- Nearby trap zones (targets adjust to avoid placing TP inside trap zones)
How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably.
STOP LEVEL (Orange Dashed Line with "STOP" Label)
This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists).
How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level.
Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act.
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UNDERSTANDING THE DASHBOARD (Top Right Panel)
The main dashboard provides comprehensive market context:
Row 1 - Header:
- "SPM " : Indicator name
- Market State : Current overall condition
Market States Explained:
- PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities.
- READY : Good conditions. Quality score meets standard threshold. Solid setups available.
- WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended.
- AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals.
- EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting.
Row 2-3 - Quality Bars:
- " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty)
- " DN ########## " : Visual meter for short quality
- The number on the right shows the exact quality score
Row 4 - Bias:
- Shows current directional lean: LONG, SHORT, or NEUTRAL
- Color-coded: Green for long, red for short, gray for neutral
Rows 5-7 (Full Mode Only) - Trade Levels:
- Entry : Suggested entry price for current bias direction
- Stop : Suggested stop-loss price
- Target : Projected take-profit price
Row 8 - Risk:Reward Ratio:
- Format : "1:X.X" where X.X is the reward multiple
- Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1
Row 9 - Fuel:
- Shows percentage and estimated bars remaining in parentheses
- Example : "72% (8)" means 72% fuel with approximately 8 bars remaining
- Color-coded : Green above 70%, amber 40-70%, red below 40%
Row 10-11 (Full Mode Only) - Market Conditions:
- Vol : Current volatility regime (HIGH/NORMAL/LOW)
- Speed : Current velocity zone (FAST/NORMAL/SLOW)
Row 12 - Session:
- Shows active trading session
- Color-coded by session type
Row 13 (Full Mode Only) - Remaining:
- Time remaining in current session (hours and minutes)
Row 14 (Conditional) - Trap Warning:
- Appears when a significant trap zone exists in your bias direction
- Shows direction (ABOVE/BELOW) and confluence percentage
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UNDERSTANDING THE QUICK PANEL (Bottom Left)
The Quick Panel provides essential information at a glance without looking away from price action:
Row 1: Current Bias and Quality Score (large text for quick reading)
Row 2: Market State
Row 3: Fuel Percentage
Row 4: Estimated Bars Remaining
Row 5: Risk:Reward Ratio
Row 6: Current Session
Both panels can be repositioned using the settings, and each can be toggled on/off independently.
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SETTINGS EXPLAINED
CORE SETTINGS:
Analysis Lookback (Default: 20)
Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise.
Swing Detection Length (Default: 5)
Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones).
Impulse Sensitivity (Default: 1.5)
Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant.
SIGNAL SETTINGS:
Prime/Standard/Caution Thresholds (Defaults: 80/75/65)
These control the quality score required for each signal tier. You can adjust these based on your preference:
- More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals
- More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality
Signal Cooldown (Default: 8 bars)
Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh.
Show Prime/Standard/Caution/Exhaustion Signals
Toggle each signal type on or off based on your preference.
ZONE DISPLAY:
Show Trap Zones / Entry Zones / Target Zones / Stop Levels
Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter.
Zone Transparency (Default: 88)
Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent.
Zone History (Default: 25 bars)
How far back zone boxes extend on the chart. Purely visual preference.
BACKGROUND:
Background Mode (Options: Off, Subtle, Normal)
Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely.
Background Type (Options: Bias, Fuel)
- Bias : Colors background based on current directional lean (green for long, red for short)
- Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low)
DASHBOARD / QUICK PANEL:
Show Dashboard / Show Quick Panel
Toggle each panel on or off.
Compact Mode
When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining.
Position Settings
Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left.
ALERTS:
Alert Prime Signals / Standard Signals / Fuel Exhaustion
Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur.
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RECOMMENDED TIMEFRAMES AND USAGE
OPTIMAL TIMEFRAMES:
- 1-minute to 5-minute : Best for active scalping with quick entries and exits
- 5-minute to 15-minute : Balanced scalping with slightly more confirmation
- 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals
Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes.
BEST PRACTICES:
1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better.
2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny.
3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions.
4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level.
5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1).
6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results.
7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context.
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PRACTICAL EXAMPLE
Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar.
Before entering, you check the dashboard:
- State shows "PRIME" - conditions are favorable
- Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars)
- R:R shows "1:2.3" - acceptable risk-to-reward ratio
- Session shows "LONDON" - active session with good liquidity
- No TRAP warning in dashboard - no immediate resistance cluster in your way
- Entry zone visible on chart at a lower price level
- Stop and Target zones clearly marked
With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade.
However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones.
This multi-factor confirmation delivered in a single glance is what SPM provides.
Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed.
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DATA WINDOW VALUES
For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected):
- Long Quality Score (0-100)
- Short Quality Score (0-100)
- Fuel Gauge (0-100%)
- Risk:Reward Ratio
These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style.
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NON-REPAINTING CONFIRMATION
All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means:
- Signals appear at the OPEN of the new bar (after the previous bar closes)
- Signals will NEVER disappear once they appear
- Signals will NEVER change position on historical bars
- What you see in backtesting is what you would have seen in real-time
The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting.
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IMPORTANT DISCLAIMERS
TERMINOLOGY CLARIFICATION:
This indicator uses terms that might imply access to data it does not have. To be completely transparent:
- "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels.
- "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data.
- "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success.
- The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal.
TRADING RISK WARNING:
Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable.
Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions.
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ORIGINALITY STATEMENT - NOT A MASHUP
Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis:
- The Fuel Gauge decay model with its four-component weighted calculation
- The Trap Zone cluster detection with confluence scoring
- The multi-factor quality scoring system that integrates all layers
- The trap-aware entry and target zone placement logic
- The volatility regime adaptation across all components
- The session weighting is integrated into the quality assessment
The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM.
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For best results, combine SPM with your own market understanding and always practice proper risk management.
-BullByte
P/D Price LevelsCore Objective: This indicator is meticulously designed to help traders pinpoint Value Zones with precision. The primary goal is to identify optimal Discount levels for long positions and potential Premium levels for short positions.
Based on Smart Money Concepts (SMC), trading at overbought or oversold extremes relative to a specific reference point (Swing High/Low) significantly enhances your Risk-to-Reward (R:R) ratio.
Key Features:
Dynamic Source Selection: Automatically detects the highest peak or lowest trough within a user-defined lookback period, or allows for manual price input for higher timeframe analysis.
10 Fully Customizable Levels: Flexibility to set up to 10 unique percentage (%) offsets. This is crucial as different assets (Gold, Forex, Stocks, or Crypto) exhibit varying volatility profiles and "Golden" discount levels.
Minimalist Interface: All lines and labels are rendered in a subtle light gray and anchored to the right margin. This ensures a clean workspace that doesn't clutter your price action analysis.
Precision Engineering: Optimized for Pine Script v6 to ensure lines remain perfectly horizontal, eliminating common display glitches.
How to Use:
Auto Mode: The script identifies the highest/lowest price within your chosen "Lookback" period as the base.
Manual Mode: If you have identified a significant HTF (Higher Timeframe) Swing High/Low, simply input the price manually in the settings.
The Strategy: Monitor price reaction at key percentages (e.g., 5%, 7%, or 10% discount from a high) to find high-probability reversal or trend continuation signals.
"Trading involves risk. This script is for educational purposes and should not be considered financial advice."
RSI Chebyshev Pro with Goldilocks Fractals [NPR21]RSI Chebyshev Pro with Goldilocks Fractals
- Advanced RSI oscillator combining Chebyshev Type I filtering, MESA adaptive algorithms, candlestick pattern recognition, and Williams Fractal pivot detection for comprehensive momentum analysis.
Core Features:
RSI Calculation
- Chebyshev Type I filtering for superior noise reduction
MESA Adaptive Moving Average for automatic cycle detection
Four display modes: Candles, Candles with Patterns, Heikin Ashi, Line
Adjustable RSI (1-10) and MA (1-10) line widths
Gradient-colored adaptive MA
Pattern Recognition
- Bullish/Bearish Engulfing: Green/red triangles with "Eng" labels
- Morning Star: Green label with diamond and up arrow (bullish reversal)
- Evening Star: Red label with diamond and down arrow (bearish reversal)
- Patterns require RSI confirmation (>60 bearish, <40 bullish)
- Vertical dashed lines mark all pattern occurrences
Goldilocks Fractals
- Williams Fractal methodology applied to RSI values
- BUY signals at swing lows, SELL signals at swing highs
- Bright green/red arrows maintain size at all zoom levels
- Customizable periods (default: 5), offsets, colors, and sizes
- Independent toggles for labels and shapes
Visual Design
- Hollow green bullish candles, solid red bearish candles
- Reference lines at 30, 50, 70 levels
- Professional gradient coloring (orange→yellow→green)
- Optimized for both light and dark themes
How to Use
- Settings
- Length (24): RSI calculation period
- Smoothing (3): Chebyshev smoothing factor
- Fractal Periods (5): Pivot lookback - lower = faster, higher = reliable
- MA Multiplier (1): Cycle detection sensitivity
- Line Widths: Adjust RSI and MA thickness (1-10)
Trading Applications
- Scalping (1m-5m): Fractal n=2-3, quick reversals
- Day Trading (15m-1H): Fractal n=4-5, pattern confluence
- Swing Trading (4H-Daily): Fractal n=6-8, major pivots
- Best signals: Multiple confirmations (fractal + pattern + RSI extreme)
Signal Priority
- Fractal SELL + Evening Star + RSI >70 = Strong bearish
- Fractal BUY + Morning Star + RSI <30 = Strong bullish
- Engulfing + Fractal + MA direction = High probability
- Always confirm with price action on main chart
Technical Details:
Uses Chebyshev filters for minimal phase distortion and sharp noise cutoff. MESA algorithm detects dominant market cycles (1-2048 bars) for adaptive MA calculation. Patterns require multi-bar body analysis, trend context, and RSI level confirmation. Fractals use ta.pivothigh/pivotlow on RSI values with n-period offset to prevent repainting.
Performance
No repainting - fractals appear n bars after formation. Optimized calculations for multiple indicator use. Works on all timeframes and asset classes. Compatible with desktop and mobile platforms.
Credits;
Original RSI concept by ChartPrime. Chebyshev filtering from signal processing theory. MESA algorithm by John Ehlers. Williams Fractals by Bill Williams. Conversion and integration by NPR21.
License: Mozilla Public License 2.0
Disclaimer: For educational purposes only. Use proper risk management. Past performance does not guarantee future results.
GEX Walls + Market Open Shading### Overview
This Pine Script (version 6) creates a TradingView indicator called **"GEX Walls + Market Open Shading"**. It overlays directly on the price chart and is designed for intraday trading, particularly for indices like SPX or ES futures. The script combines two main features:
- **GEX Walls**: Visual boxes and labels highlighting "Gamma Exposure" (GEX) levels—key support (Put Wall) and resistance (Call Wall) zones based on options gamma. It includes approach alerts.
- **Market Open Shading**: A semi-transparent background shade during a customizable post-market-open session (e.g., first 2 hours after 9:30 AM EST).
It uses up to 20 boxes and 20 labels, with right-scale positioning for better visibility on the price axis. The script detects new trading days to reset visuals dynamically.
### Key Inputs
The script is highly customizable via inputs grouped into sections:
#### GEX Walls Inputs
- **Call Wall** (default: 6900.0): Upper resistance level.
- **Put Wall** (default: 6850.0): Lower support level.
- **Buffer** (default: 3.0 points): Vertical padding around each wall for box thickness.
- **Alert Distance** (default: 10.0 points): Threshold for triggering "approach" alerts.
- **Colors**: Semi-transparent yellow for Call Wall boxes (#ffeb3b at 80% opacity), orange for Put Wall (#ff9800 at 80%).
- **Toggles**: Show/hide boxes; enable/disable alerts; restrict alerts to shaded session only.
- **Labels**: Text color (white), offset (bars to the right, default -2), size (tiny/small/normal/large).
#### Market Open Shading Inputs
- **Shade Color** (default: white at 90% transparency): Background fill during session.
- **Transparency** (0-100, default: 90): Opacity level.
- **Open Time** (default: 9:30 EST): Hour/minute for session start.
- **Duration**: Dropdown with pre-formatted options (e.g., "120 min: 11:30a EST / 8:30a PST" up to 195 min), showing both EST and PST end times for convenience.
- **Toggle**: Show/hide shading.
### How It Works
#### 1. Market Open Shading
- Calculates end time from open hour/minute + selected duration (e.g., 120 minutes from 9:30 AM EST = 11:30 AM EST).
- Builds a session string (e.g., "0930-1130") for TradingView's `time()` function.
- Detects if the current bar is within the session using `not na(time("", sessionString))`.
- Applies `bgcolor()` with the user-defined color/transparency only during the session.
- Helper functions format times in 12-hour AM/PM style (e.g., "11:30a") for labels, with EST/PST variants.
#### 2. Day Detection
- Uses `time("D")` to track daily changes (`ta.change(dayTime) != 0` signals a new day).
- Maintains variables for the current day's start bar index (`todayStartIndex`) and previous day's start (`prevStartIndex`).
- This ensures boxes span exactly from yesterday's open to today (intraday reset on new days).
#### 3. GEX Walls Visualization
- **Boxes**: Drawn once `prevStartIndex` is known (i.e., on the second day onward).
- Left edge: Previous day's start bar.
- Right edge: Current bar (extends live).
- Height: Wall level ± buffer (e.g., Call Wall box from 6900-3 to 6900+3).
- Updated dynamically with `box.set_*` functions; hidden (100% transparent) if toggled off.
- **Labels**: Placed at exact wall levels, offset to the right (e.g., 2 bars ahead for readability).
- Text: "CALL WALL: 6900.0" or "PUT WALL: 6850.0".
- Style: Right-aligned, black background (transparent), user-defined text color/size.
- Deleted if toggled off.
- All visuals use `xloc.bar_index` for bar-based positioning.
#### 4. Alerts
- **Call Wall Approach**: Triggers when close enters within `alertDistance` below the wall, but prior bar was further away (rising toward resistance). Message: "Price approaching Call Wall at from below (within points)".
- **Put Wall Approach**: Symmetric for falling toward support (within distance above wall).
- Filtered optionally to shaded session only.
- Uses `alertcondition()` with hidden plots (`display=display.none`) for dynamic message placeholders (e.g., `{{plot_0}}` inserts wall level).
### Notable Features & Behaviors
- **Intraday Focus**: Boxes/labels reset daily, making it ideal for day trading without historical clutter.
- **Time Zone Handling**: Defaults to EST for market open but shows PST equivalents in dropdowns (subtracts 3 hours).
- **Efficiency**: Uses `var` declarations for persistent objects (boxes/labels) to avoid recreation on every bar.
- **Edge Cases**: Handles label offsets (clamped -10 to 50 bars); session wrapping (e.g., overnight via %24); new chart loads (initializes on first bar).
- **Customization Depth**: 20+ inputs allow fine-tuning without code edits. Alerts integrate seamlessly with TradingView's system.
- **Limitations**: Relies on bar_index for historical spanning (best on lower timeframes like 1-5 min); no historical backfill for walls (live-only).
This script is a practical tool for options-aware traders monitoring gamma squeezes or pinning levels during market open volatility. To use it, paste into TradingView's Pine Editor, adjust inputs for your asset (e.g., update walls for current GEX data), and add to chart.
[QuantLabs] Kinetic Fusion Ultra The Problem with Standard Indicators Most trading indicators fail for one simple reason: They are Static. A standard Stochastic or CCI uses fixed variables that might work perfectly on EURUSD but fail completely on Bitcoin or Gold. This forces you to constantly tweak settings to avoid false signals, and usually, by the time you adjust them, the move is over.
Kinetic Fusion Ultra Kinetic Fusion Ultra solves this by combining Stochastic Position (Static) with Adaptive Momentum (Velocity). At its core is a proprietary Adaptive Normalization Engine. This algorithm "learns" the volatility of the asset over the last 100 bars and auto-scales the momentum data to fit perfectly into a 0-100 oscillator window.
Whether you are scalping a 1-minute Crypto chart or swinging a Weekly Stock chart, the signals remain mathematically consistent.
Aggressive ScalpingAggressive Scalping — EMA × RSI × VWAP × ADX Mesh-Up
Aggressive Scalping is a precision intraday indicator designed for range-to-early expansion environments, where most scalping strategies either over-trade or get chopped up.
This indicator intentionally meshes four complementary tools—EMA structure, RSI momentum, VWAP bias, and ADX regime detection—to isolate high-probability micro-moves while filtering out trend exhaustion and late entries.
The goal is simple:
trade only when price is aligned, momentum is controlled, and the market is quiet enough to move cleanly.
Why This Mesh-Up Exists
Most scalping indicators fail because they:
Trade every EMA cross
Ignore market regime
Chase overextended RSI
Enter against VWAP
This script solves that by assigning one clear job to each component:
1️⃣ EMA Structure (Fast vs Slow)
Defines short-term directional bias
Triggers precise entry timing
Provides clean crossover signals (▲ / ▼)
EMAs answer: Which side should I be on right now?
2️⃣ RSI Control (Not Overbought / Oversold)
Prevents chasing extended moves
Filters entries when momentum is already spent
Keeps scalps inside continuation windows
RSI answers: Is there still fuel left for a scalp?
3️⃣ VWAP Bias (Institutional Fair Value)
Aligns trades with institutional positioning
Blocks longs below VWAP and shorts above VWAP (optional)
Greatly reduces counter-trend noise
VWAP answers: Am I trading with or against the real money?
4️⃣ ADX Regime Filter (Range Detection)
Allows entries only when ADX is below a threshold
Avoids high-ADX trend exhaustion and fake pullbacks
Highlights scalp-friendly compression zones
ADX answers: Is the market calm enough to scalp?
How to Use the Signals
🔺 EMA Bullish Crossover (Green Triangle Up)
Fast EMA crosses above Slow EMA
Early directional shift
Can be used as:
Standalone momentum trigger
Confirmation for pullback entries
🔻 EMA Bearish Crossover (Red Triangle Down)
Fast EMA crosses below Slow EMA
Early downside signal
Ideal for quick downside scalps or fades
🟢 Long Entry Signal (Larger Green Triangle)
Triggers only when ALL conditions align:
EMA bullish structure
RSI not overbought
ADX below threshold (range mode)
Price above VWAP (if enabled)
🔴 Short Entry Signal (Larger Red Triangle)
Triggers only when:
EMA bearish structure
RSI not oversold
ADX below threshold
Price below VWAP (if enabled)
These are high-quality scalp entries, not constant signals.
Best Market Conditions
✔ Choppy to mildly trending sessions
✔ Open, mid-day, power hour rotations
✔ Large-cap & mega-cap stocks
✔ Index futures (ES, NQ)
✔ VWAP-respecting instruments
🚫 Not designed for:
Strong trend days
News-driven momentum explosions
Illiquid small caps
Final Notes
This indicator is not a prediction tool.
It is a structure-and-regime alignment tool.
Use it to:
Reduce over-trading
Improve entry precision
Trade fewer, cleaner setups
Stay aligned with market context
Pair it with:
Strict risk management
Session awareness
Price action confirmation
Divergence Buy/SellUser Manual: Buy/Sell Divergence v1
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The Buy/Sell Divergence v1 indicator is a momentum-based analysis tool built upon the Vortex system. Its primary function is to identify discrepancies between price action and trend strength, signaling potential exhaustion points and market reversals (Divergences).
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1. Interface Components
- The indicator consists of three main visual elements in the bottom panel:
Dynamic Vortex (Lines):
Green Line (VI+): Represents the strength of the buyers.
Red Line (VI-): Represents the strength of the sellers.
Note: With "Dynamic View" enabled, only the dominant line is shown, removing visual noise and clutter.
Delta Histogram:
Represents the mathematical difference between the two forces. Bars above zero (Lime) indicate a bullish trend; bars below zero (Maroon) indicate a bearish trend.
Background Color:
Green: Confirmed bullish trend.
Red: Confirmed bearish trend.
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2. Signal Interpretation
A. BUY DIV (Bullish Divergence)
Occurs during a downtrend and signals a potential bounce or upward reversal.
Price Condition: The price hits a new lower low.
Indicator Condition: The red line (VI-) shows a lower peak of strength compared to its previous peak.
Visual Signal: A green line connects the peaks on the indicator with the label "BUY DIV".
Meaning: Sellers are pushing the price down, but with less conviction. Selling pressure is evaporating.
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B. SELL DIV (Bearish Divergence)
Occurs during an uptrend and signals a potential pullback or downward reversal.
Price Condition: The price hits a new higher high.
Indicator Condition: The green line (VI+) shows a lower peak of strength compared to its previous peak.
Visual Signal: A red line connects the peaks on the indicator with the label "SELL DIV".
Meaning: Buyers are driving the price to new highs, but buying momentum is fading. The trend is becoming "exhausted."
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3. Parameter Configuration
Parameter Description Suggestion
Length The Vortex calculation period (default: 14). Use 7-10 for Scalping; 14-
21 for Day Trading; 28+ for
Swing Trading.
Pivot Lookback Number of candles needed to confirm a peak Increase this (e.g., 8-10)
(default: 5). for rarer but more
reliable divergence signals.
Dynamic View Hides the weaker trend line. Keep this ON for a clean
and focused chart reading.
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4. Strategic Advice & Risk Management
1. Candle Confirmation: Do not enter the trade at the exact moment the label appears. Because divergences are based on "Pivots," the label appears with a delay equal to the Pivot Lookback. Wait for a break of the signal candle's high (for Buy Div) or low (for Sell Div).
2. Trend Filtering: Divergences are most powerful when they occur near historical support or resistance zones on the price chart.
3. Stop Loss Placement:
- For a BUY DIV signal, place the Stop Loss slightly below the recent price low.
- For a SELL DIV signal, place the Stop Loss slightly above the recent price high.
4. Confluence: If you receive a SELL DIV and simultaneously see the histogram shrinking toward the zero line, the probability of a successful trade increases significantly.
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Crypto 1H [Universal - Strict + R:R]Overview This indicator is a trend-following strategy designed specifically for the 1-hour timeframe (though it works universally). It focuses on high-probability "pullback" entries within an established trend.
What distinguishes this script from standard trend indicators is the integrated Risk:Reward (R:R) Pre-Filter. Before generating a signal, the script calculates the distance to the logical Stop Loss and the logical Take Profit (Resistance/Support). If the trade does not offer a minimum Risk-to-Reward ratio (default 1:2), the signal is suppressed.
How It Works
The strategy follows a strictly defined logical flow:
1. Trend Identification The script uses a Baseline EMA (Default: 50) to determine the trend.
Long: Price is above the 50 EMA, and the 50 EMA is sloping up.
Short: Price is below the 50 EMA, and the 50 EMA is sloping down.
2. The Pullback & Trigger Once a trend is identified, the script waits for price to pull back to the "Trigger" EMA (Default: 21).
The Wait Window: The script utilizes a "Max Wait Bars" logic. Once the price touches the Trigger EMA, it listens for an entry signal for exactly 3 bars. If price lingers too long without reacting, the setup is invalidated to avoid chopping markets.
3. The Risk:Reward Filter (Crucial) This is the final gatekeeper. Even if the trend and candle shape are perfect, the script performs a geometric check:
Stop Loss Calculation: Determined by the lowest low (for longs) or highest high (for shorts) of the last 5 bars, plus a small ATR buffer.
Target Calculation: Determined by the highest high or lowest low of the last 24 bars (local Support/Resistance).
The Math: If the distance to the Target is not at least 2.0x the distance to the Stop Loss, the trade is skipped. This prevents buying right into resistance or selling right into support.
Indicator Features & Settings
Session Filter: Defaults to London and NY sessions (UTC) to ensure volume is present.
Volatility Filter: Requires the signal candle to have a minimum body size (0.15% of price) to avoid "doji" or low-momentum entries.
Visuals:
White Line: 50 EMA (Trend)
Yellow Line: 21 EMA (Momentum Trigger)
Labels: Green (Long) and Red (Short) entry markers.
Red Crosses: These indicate exactly where the suggested Stop Loss was located at the moment of entry.
Risk Disclaimer This tool is designed for educational and analytical purposes. The "Strict R:R" filter does not guarantee profit; it simply filters out setups that mathematically do not fit the specified ratio based on historical price action. Always perform your own analysis.
Pullbacks CompletoThis indicator is a comprehensive Trend Following toolkit that combines two distinct, high-probability pullback strategies into a single, intelligent interface. It is designed to help traders identify precise entry points during corrections in established trends, filtering out low-quality noise.
The indicator features Smart Conflict Detection: if the two strategies generate opposing signals on the same candle, the system blocks the individual alerts and displays a Purple "X", warning the trader of market indecision.
Strategy 1: Stoch Pullback (Triangles)
Visual: Green/Red Triangles Logic:
Trend: Defined by the alignment of the Fast EMA (21) and Slow EMA (100).
The Setup: The indicator waits for the Stochastic RSI to enter an Overbought or Oversold zone.
Strict Filter: A signal is only valid if, while in the zone, the price physically tests the Fast EMA (closes against it). This filters out "shallow" pullbacks.
Trigger: The signal is fired when the Stochastic RSI crosses back out of the extreme zone, resuming the trend.
Strategy 2: Dave Landry Setup (Dots)
Visual: Green/Red Circles Logic:
Trend: Filtered by MACD Histogram momentum and the relation to the Fast EMA (21).
The Pattern: Looks for a correction of at least 2 candles making lower lows (for uptrends) or higher highs (for downtrends).
Trigger: Enters when the price breaks the high/low of the previous candle, provided it closes in favor of the EMA 21.
Anti-Climax Filter: Includes a "Stretched" filter to prevent buying/selling on exhausted "Elephant Bars" (huge candles that have already consumed the move).
Key Features
Dual Alert System: Receive specific alerts for "Pullback" or "Landry" setups.
Conflict Warning: If Strategy A says "Buy" and Strategy B says "Sell" simultaneously, a "Doubtful Signal" alert is triggered, and a purple Cross appears on the chart.
Smart Visibility: The indicator automatically hides or shows the Moving Averages depending on which strategies you have enabled in the settings.
Educational Tooltips: Hover over the "i" icons in the settings menu to read the rationale behind each specific filter.
How to Use
Green Triangle: Look for Long opportunities (Stoch Pullback).
Green Dot: Look for Long opportunities (Landry Breakout).
Red Triangle: Look for Short opportunities (Stoch Pullback).
Red Dot: Look for Short opportunities (Landry Breakout).
Purple X: Stay Out. The setups are conflicting (Trend vs. Momentum disagreement).
Configuration You can toggle each strategy on/off in the settings menu. You can also choose to display the Overbought/Oversold background zones to visualize where the Stoch Pullback is "arming".
TradingMoja / SQZMOM ADX . Mi indicatores lo que ultizo en mis añalisis a dia dia . Si trata de SQZMOM y ADX
30d Rolling TWAP (Hourly)code:
//@version=5
indicator("30d Rolling TWAP (Hourly)", overlay=true)
// Calculation: (High + Low + Close) / 3
typicalPrice = hlc3
// 30 days * 24 hours = 720 bars
length = 720
twap30 = ta.sma(typicalPrice, length)
// Plotting
plot(twap30, color=color.new(#2962FF, 0), title="30d Hourly TWAP", linewidth=2)
// Optional: Background highlight
fillColor = close > twap30 ? color.new(color.green, 90) : color.new(color.red, 90)
bgcolor(fillColor)
yaman short longThis indicator provides clear Long and Short signals to help traders identify potential market direction and trading opportunities with higher confidence.
It is designed to follow price momentum and trend strength, allowing traders to enter trades when the market shows clear directional bias. The indicator focuses on clean signals and avoids unnecessary noise, making it suitable for both beginners and experienced traders.
Key Features:
Clear Long and Short signals displayed on the chart
Helps identify potential trend continuation and reversals
Designed to reduce false signals during choppy market conditions
Suitable for scalping, intraday, and swing trading
Works across multiple markets and timeframes
How to Use:
Long Signal: Indicates potential upward movement when bullish conditions align
Short Signal: Indicates potential downward movement when bearish conditions align
Best used with proper stop-loss and risk management rules
Can be combined with support/resistance or higher timeframe confirmation
Best Markets:
Forex pairs
Gold (XAUUSD)
Cryptocurrencies
Indices
Notes:
Signals are generated after candle close
The indicator does not repaint
This tool is meant to assist decision-making, not guarantee profits
Alg0 Hal0 Peekab00 WindowDescription: Alg0 Hal0 Peekaboo Window
The Alg0 Hal0 Peekaboo Window is a specialized volatility and breakout tracking tool designed to isolate price action within a specific rolling time window. By defining a custom lookback period (defaulting to 4.5 hours), this indicator identifies the "Peekaboo Window"—the high and low range established during that time—and provides real-time visual alerts when price "peeks" outside of that established zone.
This tool is particularly effective for intraday traders who look for volatility contraction (ranges) followed by expansion (breakouts).
How It Works
The indicator dynamically calculates the highest high and lowest low over a user-defined hourly duration. Unlike static daily ranges, the Peekaboo Window moves with the price, providing a "rolling" zone of support and resistance based on recent market history.
Key Features
Rolling Lookback Window: Define your duration in hours (e.g., 4.5h) to capture specific session cycles.
Dynamic Visual Range: High and low levels are automatically plotted and filled with a background color for instant visual recognition of the "value area."
Peak Markers: Small diamond markers identify exactly where the local peaks and valleys were formed within your window.
Breakout Signals: Triangle markers trigger the moment price closes outside the window, signaling a potential trend continuation or reversal.
Unified Alerting: Integrated alert logic notifies you the second a breakout occurs, including the exact price level of the breach.
How to Use the Peekaboo Window
1. Identify the "Squeeze"
When the Peekaboo Window (the shaded area) begins to narrow or "flatten," it indicates the market is entering a period of consolidation. During this time, price is contained within the green (High) and red (Low) lines.
2. Trading Breakouts
The primary signal occurs when a Breakout Triangle appears:
Green Triangle Up: Price has closed above the window's resistance. Look for long entries or a continuation of bullish momentum.
Red Triangle Down: Price has closed below the window's support. Look for short entries or a continuation of bearish momentum.
3. Support & Resistance Rejections
The yellow diamond Peak Markers show you where the market has previously struggled to move further. If the price approaches these levels again without a breakout signal, they can serve as high-probability areas for mean-reversion trades (trading back toward the center of the window).
4. Customizing Your Strategy
Scalping: Lower the Lookback Duration (e.g., 1.5 hours) to catch micro-breakouts.
Swing/Intraday: Keep the default 4.5 hours or increase it to 8+ hours to capture major session ranges (like the London or New York opens).
Settings Overview
Lookback Duration: Set the "width" of your window in hours.
Window Area Fill: Customize the color and transparency of the range background.
Line Customization: Adjust the thickness and style (Solid/Dashed/Dotted) of the boundary lines.
Breakout Markers: Toggle the visibility of the triangles and diamonds to keep your chart clean.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
LANZ Origins🔷 LANZ Origins – Multi-Framework Liquidity, Structure & Risk Management Overlay
LANZ Origins is a multi-tool TradingView indicator designed to provide session context, liquidity mapping, imbalance visualization, higher-timeframe candle projection, and a fixed-SL lot size calculator.
It includes:
Risk & Lot Size Panel (up to 5 accounts):
Calculates lot size using a fixed Stop Loss in pips and a standard pip value assumption ($10 per pip per 1.0 lot). For each enabled account, it displays the estimated lots and dollar risk based on account capital and risk %. The panel is fully customizable (colors, text size, visibility).
Session Backgrounds (New York time):
Colors the chart by time blocks: Day Division, No Action Zone, Killzone, and Hold Session, helping traders visually segment the trading day.
Asian Range Liquidity Box (19:00–02:00 NY):
Draws a dynamic box tracking the session high/low, plus an optional midline (50%) with optional label. The script correctly handles sessions that cross midnight.
Imbalance Detector:
Detects and draws Fair Value Gaps (FVG), Opening Gaps (OG), and Volume Imbalances (VI) with adjustable filters (min width by points/%/ATR and extension). Optionally shows a dashboard summarizing frequency and fill rate.
ICT HTF Candles Overlay:
Projects selected higher-timeframe candles to the right of price (e.g., 30m enabled by default), with optional labels, remaining time, trace lines (O/C/H/L) and internal imbalance highlights for those HTF candle sets.
30m ZigZag projected to all timeframes:
Computes ZigZag pivots from the 30-minute timeframe and draws them on any chart timeframe, including an optional live extending leg.
LANZ Origins does not execute trades and does not generate buy/sell entries. It is a visual framework for analysis, context, and risk planning.
Trend ComboI have just combined Vwap with EMA's, along with a Parabolic Sar to help with timing potential entries and exits. Always use a stop loss.
PrecisionFirstCrossBreakouts above the 90-day high often attract institutional attention and momentum. PrecisionFirstCross™ identifies the first cross of this level each day, filtered by relative volume (default 2x) to focus on moves with conviction. A "near breakout" alert gives you a heads-up before the trigger.
TrendlinesTrendline S&R
This indicator is an automated technical analysis tool designed to identify the most relevant Support and Resistance (S&R) zones based on market pivots. Unlike standard pivot indicators that clutter the chart with historic lines, this script uses a "Closest-to-Price" algorithm to display only the single most relevant Support (Green) and Resistance (Red) zone currently interacting with price action.
It solves common frustrations with automated trendlines—specifically the issue of lines disappearing immediately upon a breakout—by introducing a Stability Buffer.
Key Features & Importance
The script scans hundreds of potential trendlines but only draws the one geographically closest to the current price.
Importance: This ensures you are looking at the zone that matters right now. It filters out distant or irrelevant historic lines, keeping your chart clean and focused on immediate price action.
🛡️ 5-Bar Stability Buffer (Anti-Flicker)
Feature: A hardcoded 5-bar "memory" prevents the zone from disappearing the moment price touches or breaks it.
Importance: This is critical for trading breakouts. It allows you to see the zone persist while price breaches it, helping you distinguish between a true breakout, a fakeout, or a retest, without the reference level vanishing from your screen.
🔍 Dynamic Pivot Filtering
Feature: Uses a restricted Pivot Strength (5-15) and Minimum Confirmation (2-8 touches).
Importance: By enforcing these limits, the indicator ignores insignificant market noise and micro-swings, ensuring that drawn zones represent structural market levels with genuine liquidity.
🔔 Integrated Alert System
Feature: Built-in alerts for "Zone Breakout" (candle close crossing the zone) and "Zone Touch" (wick entering the zone).
Importance: Allows you to set the indicator and walk away. You will be notified instantly when price interacts with these key levels, removing the need to stare at the chart.
📉 Adaptive Tolerance (Fixed ATR)
Feature: Uses a fixed ATR multiplier internally to determine the width of the zone.
Importance: This automatically adjusts the thickness of the support/resistance zone based on the asset's volatility.
Settings Guide
Bars to Apply: How far back in history the script looks for pivots (Default: 300).
Pivot Source: Choose between calculating from "High/Low" (wicks) or "Close" (bodies).
Pivot Strength: The number of bars required on each side to define a swing point (Range: 5–15).
Min Pivot Confirmation: The minimum number of touches required to validate a trendline (Range: 2–8).
How to Use
Add the indicator to your chart.
Adjust Pivot Strength if you want to catch smaller swings (lower number) or major structures (higher number).
Set an alert in TradingView by clicking the "Clock" icon, selecting this indicator, and choosing "Zone Breakout" or "Zone Touch".
EMA + VWAP Strategy# EMA + VWAP Crossover Strategy
## Overview
This is a trend-following intraday strategy that combines fast and slow EMAs with VWAP to identify high-probability entries. It's designed primarily for 5-15 minute charts and includes a smart filter to avoid trading when VWAP is ranging flat.
## How It Works
### Core Concept
The strategy uses three main components working together:
- **Fast EMA (9)** - Responds quickly to price changes and generates entry signals
- **Slow EMA (21)** - Acts as a trend filter to keep you on the right side of the market
- **VWAP** - Serves as a dynamic support/resistance level and the primary trigger for entries
### Entry Rules
**Long Entry:**
- EMA 9 crosses above VWAP (bullish momentum)
- EMA 9 is above EMA 21 (confirming uptrend)
- VWAP has a clear directional slope (not flat/ranging)
- Only during weekdays (Monday-Friday)
**Short Entry:**
- EMA 9 crosses below VWAP (bearish momentum)
- EMA 9 is below EMA 21 (confirming downtrend)
- VWAP has a clear directional slope (not flat/ranging)
- Only during weekdays (Monday-Friday)
### The VWAP Flat Filter
One of the key features is the VWAP slope filter. When VWAP is moving sideways (flat), it indicates the market is likely consolidating or ranging. The strategy skips these periods because crossover signals tend to be less reliable in choppy conditions. You'll see small gray diamonds at the top of the chart when VWAP is considered flat.
### Risk Management
The strategy uses a proper risk-reward approach with multiple stop loss options:
1. **ATR-Based (Recommended)** - Adapts to market volatility automatically. Default is 1.5x ATR(14), which gives your trades room to breathe while protecting capital.
2. **Swing Low/High** - Places stops at recent price structure points for a more technical approach.
3. **Slow EMA** - Uses the trend-defining EMA as your stop level, good for trend-following with wider stops.
4. **Fixed Percentage** - Simple percentage-based stops if you prefer consistency.
Take profits are automatically calculated based on your risk-reward ratio (default 2:1), meaning if you risk $100, you're aiming to make $200.
### Weekday Trading Filter
The strategy includes an option to trade only Monday through Friday. This is particularly useful for crypto markets where weekend liquidity can be thin and price action more erratic. You can toggle this on/off to test whether avoiding weekends improves your results.
### Visual Features
- **Color-coded background** - Green tint when EMA 9 is above EMA 21 (bullish bias), red tint when below (bearish bias)
- **ATR bands** - Dotted lines showing where stops would be placed (when using ATR stops)
- **Active trade levels** - Solid red line for your stop loss, green line for your take profit when you're in a position
- **Weekend highlighting** - Gray background on Saturdays and Sundays when weekday filter is active
## Best Practices
**Timeframe:** Designed for 5-minute charts but can be adapted to other intraday timeframes.
**Markets:** Works on any liquid market - stocks, forex, crypto, futures. Just make sure there's enough volume.
**Position Sizing:** The strategy uses percentage of equity by default. Adjust based on your risk tolerance.
**Backtesting Tips:**
- Test with and without the weekday filter to see which performs better on your instrument
- Try different ATR multipliers (1.0-2.5) to find the sweet spot between stop-outs and letting profits run
- Experiment with risk-reward ratios (1.5R, 2R, 3R) to optimize for your win rate
**What to Watch:**
- Win rate vs. profit factor balance
- How many trades are filtered out by the VWAP flat condition
- Performance difference between weekdays and weekends
- Whether the trend filter (EMA 21) is keeping you out of bad trades
## Parameters You Can Adjust
- Fast EMA length (default 9)
- Slow EMA length (default 21)
- VWAP flat threshold (default 0.01%)
- Stop loss type and parameters
- Risk-reward ratio
- Weekday trading on/off
- ATR length and multiplier
## Disclaimer
This strategy is for educational purposes. Past performance doesn't guarantee future results. Always test thoroughly on historical data and paper trade before risking real money. Use proper position sizing and never risk more than you can afford to lose.
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*Built with Pine Script v5 for TradingView*
