CTI Phase Bullish Bearish NeutralMarket Phase Checker. Checking multiple timeframes for confirmation of direction based on Japanese Candlesticks
תבניות גרפים
Supply Demand Zones ProSupply Demand Zones PRO
Version: 1.0
Built with: Pine Script v6
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🧭 HOW TO USE Start Here
🧠 What it does default behavior
• ✅ Automatically identifies Supply & Demand zones on your chart
• ✅ Automatically ranks each zone from 0 to 10 higher = stronger
• ✅ Works across most TradingView symbols and timeframes with default settings
⚙️ Default settings recommended for most instruments
Use the default settings for:
• 💱 Forex
• 🪙 Crypto
• 📊 Indices
• 🛢️ Commodities
• 🏛️ Stocks
Defaults are tuned to provide a balanced mix of quality zones + clean charts.
🎯 How to trade with it high-level workflow
1. 🥇 Prioritize strong zones
o Focus on higher scores commonly 7–10 for best reversal potential.
2. 🔄 Wait for a reversal setup at the zone
o Example triggers: rejection wick, engulfing candle, strong reaction candle, structure shift.
3. ✅ Confirm with other indicators before entering
o Use confirmation tools (your choice), such as:
📈 Trend filter (MA / market structure)
🧪 Momentum (RSI / Stoch / MACD)
📉 Volume / volatility tools
o Then take BUY from demand or SELL from supply *only when confirmation aligns
🧩🖤 Executive Summary: PRO Features Overview
The Supply Demand Zones PRO indicator is a professional-grade tool built on the latest Pine Script v6, designed to automatically identify and score high-probability supply and demand zones.
It moves beyond simple zone plotting by incorporating a suite of advanced features that provide a deeper, more actionable market context. This helps traders filter out noise, focus on significant levels, and make more informed decisions.
The indicator is universally compatible and works seamlessly across all major asset classes and timeframes:
• Forex: EURUSD, GBPUSD, USDJPY
• Commodities: Gold/XAUUSD, Silver, Oil
• Indices: NQ, ES, DAX, FTSE
• Cryptocurrencies: Bitcoin, Ethereum, Altcoins
• Stocks: Individual equities
Most symbols available on TradingView are fully supported.
Notice on repainting 🕯️⬛
Active zones won’t repaint unless they are invalidated. Gray/Historic zones may repaint, and that’s fine—this script only displays the most recent and stronger historic zones (if historic zones are enabled).
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⬛🛠️Key PRO Features Overview
⚙️ Feature 📌 Description
Zone Strength Ranking ||| Each zone is dynamically scored from 1–10 based on its age and number of retests. Fresher, less-tested zones are stronger, helping prioritize high-impact levels.
Real-Time Distance ||| Each active zone’s info label shows the exact distance (in pips) from current price to the zone edge for quick risk/opportunity assessment.
Trading Session Tracking ||| Zones are tagged by formation session (Asian / London / New York) for added context—high-volume session zones often matter more.
Automated Retest Markers ||| The script tracks retests and places an “R” marker for each retest, giving a clear visual history of price interaction.
Advanced ATR Filtering ||| Volatility-based filters control zone quality: set min/max zone height and optionally enforce a consistent zone height using ATR.
Minimum Zone Distance ||| Reduces clutter by requiring a minimum number of bars between new zones, ensuring zones are distinct and well-separated.
Dual Label Controls Independently toggle info labels for Active vs Historic zones to keep charts clean while preserving key detail.
Built on Pine Script v6 ||| Uses the newest Pine Script version for better efficiency, reliability, and smoother handling of complex logic/drawings.
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Detailed Feature Breakdown ⬛
Zone Strength Ranking ⬛
The strength score is a proprietary calculation that helps traders instantly gauge the potential of a supply or demand zone. It is calculated in real time using:
1. Age of the Zone: As zones age, they may lose relevance. Strength decreases as the number of bars since creation increases.
2. Number of Retests: The first test is often the highest-probability reaction. Each retest reduces strength as liquidity is absorbed.
✅ A high score (7/10+) indicates a fresh, less-tested zone that may produce a strong reaction.
⚠️ A low score suggests a zone is old and/or heavily tested—use extra caution.
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🧱⬛Invalidation & Historic Zones
A zone becomes invalidated broken when price closes beyond its outer boundary or wicks beyond it, depending on settings. Once broken, it becomes a Historic Zone and turns gray.
This matters for structure: a broken supply zone can become future demand a flip zone, and vice versa.
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🧪⬛Advanced Filtering Explained
Three ATR-based filters control zone quality:
• Max Zone Height (ATR Multiplier): Blocks zones that are too large to trade effectively. Example: 1.0 ignores zones taller than 1× ATR.
• Min Zone Height (ATR Multiplier): Filters out zones that are too thin and likely noise. Example: 1.0 rejects zones smaller than 1× ATR.
• Force Zone Height (ATR Multiplier): Normalizes zone heights by expanding smaller valid zones up to the minimum ATR target. Example: 1.0 expands zones to at least 1× ATR.
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🧾⬛Configuration Guide
⚙️⬛Zone Detection
⚙️ Setting 🔧 Default 📝 Description
Swing Length (Sensitivity) 12 Lookback bars for pivot high/low detection. Higher = fewer, stronger zones.
Max Zones to Display 10 Max number of active Supply + Demand zones shown.
Max Zone Height (ATR) 1.0 Rejects zones taller than this ATR multiplier.
Min Zone Height (ATR) 1.0 Rejects zones smaller than this ATR multiplier.
Force Zone Height (ATR) 1.0 Expands valid zones to be at least this ATR multiplier.
Min Distance Between Zones 44 Minimum bars required between consecutive zones of the same type.
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🧱⬛Zone Settings
⚙️ Setting 🔧 Default 📝 Description
Zone Invalidation Close “Close” = candle must close past zone; “Wick” = wick past zone breaks it.
Show Historic Zones On Toggles visibility of broken (historic) zones.
Active Zones Lookback 1000 Hides active zones older than this many bars.
Historic Zones Lookback 1000 Hides historic zones older than this many bars.
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🖥️⬛Display
⚙️ Setting 🔧 Default 📝 Description
Show Active Zone Info On Toggles text labels for active (unbroken) zones.
Show Historic Zone Info Off Toggles text labels for historic (broken) zones.
Label Size Small Adjusts the font size of zone info labels.
[yorsh.trades] CCT ICC [FOREX] v1.1Title: CCT ICC - Dual-Mode Trap & Trend Engine
Description:
The CCT ICC (Candle Continuation Theory) is not just a signal indicator; it is a comprehensive trading workspace designed for the serious Forex trader. Built on Pine Script v6, this tool bridges the gap between discretionary analysis and mechanical system verification.
Whether you are looking for real-time trade alerts or a rigorous environment to backtest and validate a strategy, the CCT ICC provides the infrastructure to trade with algorithmic precision.
☯️ The Duality: Two Modes, One Engine
This script operates in two distinct modes, selectable via the settings. This duality is the core strength of the tool, allowing you to move from hypothesis to execution seamlessly.
1. Simulator Mode (Backtest & Model Building)
Purpose: This mode is designed for the rigorous strategist. It transforms your chart into a mechanical testing engine.
How it works: It executes one trade at a time based on strict rules (Daily Risk Limits, Max Wins/Losses per day). It tracks real-time PnL and generates a detailed Historical Performance Table directly on your chart.
Why use it: We encourage users to start here. Use this mode to validate the "Trap Model" expectancy. Does the strategy hold up over the last 100 trades? What is the Drawdown? The Simulator provides the raw data you need to build confidence in your model before risking real capital. It enforces mechanical exits (e.g., Force Exit at 5 PM NY or on Trend Flips) to remove emotional bias from the test.
2. Signal Generator (Live Trading)
Purpose: Once you have validated the model, switch to this mode for live market scanning.
How it works: It acts as a discretionary scanner. It ignores the strict "one trade at a time" rule and daily risk limits, instead alerting you to every valid setup as it happens.
Visuals: It draws static Entry/SL/TP boxes for visual reference, allowing you to pick and choose trades based on your own confluence factors.
⚙️ The Technology: Multi-Timeframe Engines
The script utilizes a dual-engine logic to filter noise and identify high-probability structure:
Engine 1 (Execution): Analyzes the immediate structure on your trading timeframe (e.g., 1H) to find entries.
Engine 2 (Informational/Filter): Monitors the Higher Timeframe (e.g., 4H or Daily) to determine the dominant trend.
Auto-Sync: The script automatically selects the correct institutional timeframes based on your chart (e.g., if you trade M15, it aligns with D1 structure automatically).
⚡ The Strategy: Trap & Structure
The CCT ICC identifies liquidity points where price is likely to continue the trend:
Main Traps: Identifies "Trap Candles" that are breached and then reclaimed, signaling a false reversal (we trade WITH the trend).
Virgin Wicks (VW): Highlights unmitigated wicks that act as POIs for price.
Turtle Soups (TS): specific liquidity sweeps at range edges following the Main trend only.
Range Theory: Dynamically plots Range Highs and Lows to define your Draw on Liquidity (DOL).
🛡️ Risk Management & Position Sizing
Stop guessing your lot size. The script includes a built-in Position Sizer:
Auto-Calculation: Based on your defining risk (e.g., $100 per trade), it calculates the exact lot size required based on the Stop Loss distance.
Auto-FX Detection: Automatically adjusts for Standard Lots (100k) or JPY pairs.
Visual Boxes: Displays the exact Risk:Reward ratio and Quantity directly on the chart.
Note : the position sizer has been tested only on CFD/FOREX
⚠️Methodology & Educational Disclaimer
This script is provided for educational and analytical purposes only.
The logic, models, and visualizations implemented in this script are based on the author’s own understanding, interpretation, and implementation of trading concepts commonly referred to as CCT / ICC market structure theory. These concepts are widely available to the public for free across various educational platforms and sources.
This script does not claim ownership over the underlying theory, nor does it represent any official or authoritative version of CCT / ICC methodologies. It is an independent implementation and should be viewed solely as a learning and analysis tool.
This script is not affiliated with, endorsed by, or connected to any individual, educator, or organization associated with CCT, ICC, or related methodologies.
Risk Disclaimer
Trading financial markets involves significant risk and may not be suitable for all traders. Any signals, levels, projections, or trade examples shown by this script are hypothetical and for demonstration purposes only and do not guarantee future performance.
Nothing in this script constitutes financial advice, investment recommendations, or a solicitation to buy or sell any financial instrument. Users are solely responsible for their trading decisions and risk management.
TradingView is not responsible for any losses or damages resulting from the use of this script.
Author's Note:
The goal of the CCT ICC is to stop you from "predicting" and start you "reacting." Use the Simulator. Study the wins and the losses. Build your model, and then use the Generator to execute it.
Trade safe.
Weekly IR Breakout SignalsInspired by XO (@Trader_XO) on CT for his trading strategy
and special thanks to REBO (@@R3BOOO) for putting it together in a cheat sheet and sharing it
contact me on X: @neuromancer0x
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Timeframe Recommendations:
1H chart - Day trading (5-10 signals/month)
4H chart - Swing trading (2-5 signals/month) ⭐ Best
Daily chart - Position trading (1-2 signals/month)
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When Signals Appear:
Monday: No signals (just setting up IR)
Tuesday-Friday: Watch for breakouts
Max 1 LONG + 1 SHORT per week (indicator enforces this)
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Risk Management:
Risk 0.5-1% per trade
Never risk more than 2% in one day
If 2 losses in a row → reduce size or pause
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🔔 Setting Up Alerts
Click "Create Alert" (⏰ icon)
Condition: Select "🟢 LONG Entry" or "🔴 SHORT Entry"
Alert name: "Weekly IR Signal"
Set to: "Once Per Bar Close"
Send to: Phone/Email/App
ALPHA POINTS PRO [v1] [Takeda Trades 2026]ALPHA POINTS PRO 2026 © Takeda Trades
by @TakedaTradesOfficial
v1 01/28/2026
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ALPHA POINTS PRO
v1.0 - 2026 © Takeda Trades
DETAILED HOW TO TRADE GUIDE
1. INITIAL SETUP & CONFIGURATION
Step 1: Timeframe Selection
• Primary Chart: Your preferred trading timeframe (15min, 1hr, 4hr)
• MTF Timeframe: Set to 1-2 timeframes higher (if trading 15min, set MTF to 1hr)
• Example: 15min chart + 1hr MTF for intraday, 4hr chart + Daily MTF for swing trading
Step 2: Trading Mode Selection
• Start with "Balanced" (±200) - middle ground for most markets
• For volatile markets: Use "Conservative" (±250) to "Ultra Conservative" (±350)
• For ranging markets: "Moderate" (±150) to "Balanced" (±200)
• Adjust based on market conditions - higher numbers = fewer but higher quality signals
Step 3: Strategy Mode
• "HEDGING": Takes both BUY and SELL signals - recommended for beginners
• "LONG": Only takes BUY signals - use in uptrends or bullish markets
• "SHORT": Only takes SELL signals - use in downtrends or bearish markets
• Match strategy to market bias for better results
Step 4: TILT TRIGGERS Activation
• Turn ON - this is your psychological risk management system
• Sensitivity: Start with "Balanced" (300)
• Label Layout: "Vertical" for stacked information
• Emoji Mode: "Emoji + Text" for clear understanding
Step 5: Visual Settings
• Label Mode: "Regular" for clarity, "Emoji" for quick recognition
• Show Chart Signals: ON
• Show Close Signals: ON
• Show All Signals: OFF (turn ON only when you want to see all 15 levels)
2. SIGNAL IDENTIFICATION & ENTRY PROCESS
BUY Signal Entry:
Oscillator (bottom pane) crosses BELOW your selected negative threshold
Example: With "Balanced" mode (±200), BUY triggers at -200
Green BUY label appears on chart at candle's low
Confirm with MTF Table - higher timeframe should not be strongly bearish
Enter long position at market price or next candle open
Set stop-loss below signal candle or recent swing low
SELL Signal Entry:
Oscillator crosses ABOVE your selected positive threshold
Example: With "Balanced" mode (±200), SELL triggers at +200
Red SELL label appears on chart at candle's high
Confirm with MTF Table - higher timeframe should not be strongly bullish
Enter short position at market price or next candle open
Set stop-loss above signal candle or recent swing high
Signal Quality Checklist (BEFORE ENTERING):
✓ MTF alignment favorable (check Table)
✓ No strong contrary trend on higher timeframe
✓ Not in extreme TILT zone from previous trade
✓ Market conditions match your trading mode
✓ Risk-reward ratio at least 1:2
3. POSITION MANAGEMENT (OPEN TRADES)
Active Position Monitoring:
• Watch Signal Lines - they connect entry to current price
• Green line = currently profitable, Red line = currently losing
• Monitor progress toward Optimal Target Lines (blue dashed)
• Check Break Even Line - horizontal line showing entry price
Managing Winning Trades:
• When Break Even Line shows profit, move stop-loss to break-even
• Consider partial profit at first Optimal Target Line
• Let remaining position ride to next Optimal Target or CLOSE signal
• Monitor candle count - long sequences may indicate exhaustion
Managing Losing Trades:
• Watch TILT TRIGGERS closely - they escalate with drawdown
• "Tilt Trigger" appears = review trade thesis
• "Position Panic" appears = consider reducing position size
• "Rage Trading" appears = prepare to exit immediately
• Never add to losing positions when TILT triggers are active
4. EXIT STRATEGIES & TIMING
Primary Exit - CLOSE Signal:
• Occurs when oscillator crosses ZERO line (near 0)
• Yellow circle appears on chart
• Exit entire position at market
• This is the system's designed exit - most reliable
Secondary Exits - Profit Taking:
• At Optimal Target Lines (project to pivot points)
• At key support/resistance levels
• Partial exits at predetermined profit levels
• Trailing stop method once in profit
Emergency Exits - Risk Management:
• When TILT TRIGGERS reach "Rage Trading" or higher
• When position reaches maximum risk percentage (1-2% loss)
• When market conditions change dramatically
• When you feel emotional pressure (system confirms via TILT)
Exit Decision Matrix:
CLOSE signal appears → Exit 100%
Optimal Target reached + TILT warning → Exit 50-100%
Strong reversal pattern + still profitable → Exit 100%
Time-based exit (after average sequence duration) → Exit 100%
5. MULTI-TIMEFRAME CONFIRMATION SYSTEM
MTF Analysis Table (Style 3 Recommended):
• Shows oscillator values across multiple timeframes
• Displays position status for each timeframe
• Color-coded for quick analysis (green=bullish, red=bearish)
Alignment Trading Rules:
• Strong Buy: Current TF BUY + Higher TF BULLISH/LONG
• Weak Buy: Current TF BUY + Higher TF NEUTRAL
• Avoid: Current TF BUY + Higher TF BEARISH/SHORT
• Same rules apply for SELL signals in reverse
Timeframe Hierarchy:
• Weekly/Monthly: Primary trend direction
• Daily/4hr: Intermediate trend
• 1hr/15min: Entry timing
• Match your trading style to appropriate timeframe组合
6. TILT TRIGGERS DEEP DIVE
How TILT TRIGGERS Calculate:
• Monitors percentage drawdown from entry price
• Triggers escalate at predetermined loss percentages
• Customizable sensitivity (200 to 1200 points)
• Stacks multiple triggers within user-defined bar range
TILT Trigger Response Protocol:
Level 1: 😬 Tilt Trigger (0.25-0.75% loss)
→ Action: Review trade thesis, check news, verify analysis
Level 2: 😰 Conviction Crack (0.75-1.25% loss)
→ Action: Consider partial exit (25-50%), tighten stop-loss
Level 3: 😱 Position Panic (1.25-1.75% loss)
→ Action: Reduce position significantly (50-75%), prepare full exit
Level 4: 😤 Revenge Mode (1.75-2.25% loss)
→ Action: Exit position completely, take break from trading
Level 5+: ☠️ Extreme Levels (2.25%+ loss)
→ Action: Mandatory exit, trading break minimum 24 hours
TILT Prevention Strategies:
• Start with smaller position sizes
• Use more conservative trading modes
• Implement stricter stop-loss rules
• Take breaks between trading sessions
• Maintain trading journal to identify tilt patterns
7. SEQUENCE ANALYTICS FOR IMPROVED TIMING
Understanding Sequences:
• A sequence starts with first BUY or SELL signal
• Continues through additional same-direction signals
• Ends with CLOSE signal (oscillator crosses zero)
• Statistics tracked in table for historical reference
Using Analytics for Better Trading:
• Check average sequence duration before entering
• Compare current sequence to historical averages
• Long sequences (> average) may be near exhaustion
• Short sequences may have more room to run
• Use candle count labels for real-time monitoring
Sequence-Based Adjustments:
• If entering late in average sequence duration → smaller position
• If entering early in potential sequence → normal position
• Multiple consecutive sequences in same direction → trend strength
• Alternating short sequences → ranging market
8. ADVANCED FEATURES & OPTIMIZATION
Show All Signals Mode:
• Displays all 15 trading levels simultaneously
• Shows market strength through signal clustering
• Identifies key levels where multiple signals converge
• Use for: Market structure analysis, level importance identification
Reverse Color Gradient:
• Changes signal color intensity
• ON: Most conservative = brightest, most aggressive = darkest
• OFF: Most aggressive = brightest, most conservative = darkest
• Choose based on personal preference
Numbered Mode with Custom Gradients:
• Shows #1, #2, #3, etc. for sequential signals
• Color gradient from first to last signal in sequence
• Customize RGB values for personalized color schemes
• Excellent for tracking multiple entries in same direction
9. RISK MANAGEMENT FRAMEWORK
Position Sizing Formula:
Determine account risk per trade (1-2% recommended)
Calculate stop-loss distance in points
Position size = (account risk %) / (stop-loss in points × point value)
Adjust for correlation if multiple positions open
Stop-Loss Placement Methods:
Method A: Below/above signal candle
Method B: Below/above recent swing low/high
Method C: Percentage-based (1-2% from entry)
Method D: Volatility-based (ATR multiple)
Profit Protection Rules:
Rule 1: Move to break-even when Break Even Line shows profit
Rule 2: Take partial profits at 1:1 risk-reward ratio
Rule 3: Trail stop using Optimal Target Lines as reference
Rule 4: Never let winning trade become losing trade
10. MARKET CONDITION ADAPTATION
Ranging Markets (Best Performance):
• Characteristics: Oscillator moves between ±100 to ±300
• Settings: Moderate to Balanced modes (±150 to ±200)
• Strategy: Counter-trend entries at extremes
• Exit: Quick profits, don't wait for full sequence
Trending Markets (Caution Required):
• Characteristics: Consecutive signals in same direction
• Settings: Conservative modes (±300+)
• Strategy: Trade with trend using LONG/SHORT-only modes
• Exit: Longer holds, use trailing stops
High Volatility Markets:
• Characteristics: Large candles, wide ranges
• Settings: Ultra Conservative modes (±350+)
• Strategy: Smaller positions, wider stops
• Exit: Quicker exits, reduced profit targets
Low Volatility Markets:
• Characteristics: Small candles, tight ranges
• Settings: Aggressive modes (±100-150)
• Strategy: Normal positions, tighter stops
• Exit: Standard sequence exits
11. PERFORMANCE TRACKING & IMPROVEMENT
Mandatory Trade Journaling:
Record for every trade:
Date/Time
Trading Mode used
Signal level
Entry price
Exit price
Sequence duration
TILT triggers hit
Profit/Loss
Notes/Lessons
Weekly Review Process:
Analyze winning vs losing trades
Identify which trading modes worked best
Review TILT trigger frequency and response
Adjust settings based on performance
Set improvement goals for next week
Continuous Optimization:
• Test different trading modes in demo account
• Adjust TILT sensitivity based on emotional tolerance
• Refine entry/exit rules based on statistical analysis
• Develop personal trading plan incorporating system signals
12. COMMON PITFALLS & SOLUTIONS
Pitfall 1: Overtrading
→ Solution: Only trade when MTF alignment confirms, use higher conservative modes
Pitfall 2: Ignoring TILT Warnings
→ Solution: Make TILT compliance non-negotiable, automate responses
Pitfall 3: Poor Position Sizing
→ Solution: Implement strict 1-2% risk rule, use position size calculator
Pitfall 4: Exiting Too Early/Late
→ Solution: Follow system exits (CLOSE signals), use partial profit taking
Pitfall 5: Trading Wrong Market Conditions
→ Solution: Identify market type first, adjust settings accordingly
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⚠️ FINAL WARNINGS & BEST PRACTICES
• This is a COUNTER-TREND RANGE OSCILLATOR - it excels in ranging markets but may produce consecutive signals in strong trends
• The TILT TRIGGERS system is your most valuable feature - ignoring it defeats its purpose
• Always PAPER TRADE new settings before using real capital
• Maximum risk should NEVER EXCEED 2% per trade
• This system provides SIGNALS AND TOOLS , not guaranteed profits - your discipline determines success
• Regular PERFORMANCE REVIEW and adjustment is necessary for long-term success
• Trading involves SUBSTANTIAL RISK - only trade with capital you can afford to lose
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2026 © Takeda Trades • Trading involves risk of loss • Past performance does not guarantee future results • This is educational material, not financial advice
Key LevelsThe indicator includes:
• ✅ Daily/Weekly High/Low - update dynamically
• ✅ 4H Equilibrium - updates with new 4H candles
• ✅ Key Levels (4H, 1H, 30M, 15M) - LOCKED IN PLACE with labels
• ✅ London Open/Close - locked at their time of formation
• ✅ Info table - fixed in top right corner
Teams sir UTT dedicated✅ COMPLETE WITH DETAILED COMMENTS!
Every section now has:
Purpose explanation at the top
Step-by-step logic in comments
Examples where helpful
Clear variable names
The code is fully commented so anyone reading it can understand:
What the code does
Why it's doing it
How it works this is dedicated to utt teams sir
Wyckoff Accumulation Distribution [Wisco]Labels Accumulation, Manipulation and Distribution areas on the chart in real time, non repainted. Many settings to adjust line thickness, opacity, color, etc.
[yorsh.trade] BJN iFVG Model v1.1Description:
The BJN iFVG Model is not just an indicator; it is a complete algorithmic trading framework designed to identify, qualify, and rank Inversion Fair Value Gap (iFVG) setups using PROPIETARY RULES developed by the author.
Unlike standard FVG indicators that simply highlight gaps on a chart, this script employs a complex Ranking Engine that scores every potential setup from C to A++. It automates the "mental checklist" professional traders use—analyzing Time (Macros), Market Structure (Sweeps), Correlation (SMT), and Higher Timeframe Delivery—to determine the probability of a trade setup.
🚀 Why This Indicator is Different
This script adds value by focusing on context and validity rather than just detection.
Algorithmic Ranking System: It doesn't just show you an entry; it grades it. A setup is awarded an "A+" or "A++" only if specific confluences align (e.g., HTF Delivery + Liquidity Sweep + SMT Divergence).
Structural Validation: It utilizes a proprietary logic involving "Invalidation Points" (IP) and "Floor/Ceiling" detection. An iFVG is only considered valid if the price structure supporting it remains intact.
Cross-Ticker SMT Engine: The script includes a built-in module to compare price action against a correlated asset (e.g., NQ vs. ES) to detect SMT Divergences at the exact moment of trade formation.
Integrated Position Sizer: It automatically calculates the invalidation level based on market structure (mitigation blocks) and projects the optimal Entry, Stop Loss, and Take Profit levels, including contract sizing based on your risk parameters.
🛠 Key Features & Modules
1. The Execution Engine (iFVG Logic)
The core of the strategy looks for Inversion FVGs (failed FVGs that price punches through).
Ghost Mode: The script monitors live candles. If price penetrates a specific % into an opposing FVG, it triggers a "Preview" state, allowing you to prepare before the candle closes.
Hazards & Mitigations: It scans the chart for "Hazard" FVGs (opposing arrays that might stop price) and "Mitigation" arrays (supporting structure) to determine a safe Stop Loss placement.
2. The Ranking System (Confluences)
Every setup produces a "Rank Tag" (e.g., A+ (del, sweep, smt)). The components are:
Delivery (D): Checks if the setup is reacting off a Higher Timeframe (HTF) PD Array (from the MTF Matrix).
Sweep (S): Checks if the leg creating the setup swept liquidity (Fractals or Session Highs/Lows).
SMT: Checks for divergence between the current asset and a comparison ticker (Default: ES/NQ pairing).
Macro: Checks if the setup is occurring within specific time-based Algo Macros.
3. Contextual Matrix (Dashboard)
A "Smart Table" is displayed on the chart, providing a real-time summary of:
Liquidity Pools: Nearest Buy-side and Sell-side liquidity based on 1H fractals and Daily Highs/Lows.
Active Status: Shows the current state of the market (Idle, Armed, Triggered, or Confirmed).
Macro Status: Highlights when a Macro time window is active.
4. MTF Delivery Engine
The script runs background simulations on higher timeframes (e.g., 1H, 4H) to find unmitigated FVGs. These are projected onto your lower timeframe chart to serve as "Delivery" targets or support.
⚙️ Usage Guide
Bias & Setup: The script automatically detects Long and Short scenarios.
The Trigger: When a candle closes, validating an iFVG, a setup box appears.
Green/Red Badge: Shows the Rank (e.g., A+).
Sizer Box: Shows the visual Stop Loss (Red), Entry (Edge), and Take Profit (Teal).
Info Label: Displays the risk in points and the calculated contract size.
Invalidation: If price hits the "IP" (Invalidation Point) or the "Floor/Ceiling" before the target, the setup is marked as INVALIDATED and removed to keep the chart clean.
🎨 Visuals & Customization
Alerts: Fully configurable alerts for "Triggered" (Live) and "Confirmed" (Close) states, filterable by Minimum Rank (e.g., only alert on 'A' setups or better).
Styling: Toggle individual modules (Killzones, SMT lines, MTF Plotter) on/off to suit your visual preference.
Sessions: Customizable Killzones (Asia, London, NY AM/PM) with optional high/low projections.
⚠️ Disclaimer & Risk Warning
Not Financial Advice: This indicator is a technical analysis tool designed to assist in identifying market structure and potential areas of interest. It does not guarantee profits.
The methodology implemented in this script is inspired by and derived from widely available trading concepts, including principles commonly associated with Inner Circle Trader (ICT)–style market structure, liquidity, and inefficiency theory.
These concepts are publicly available for free across multiple educational sources and are not proprietary to this script.
The BJN iFVG Model represents the author’s independent interpretation, rule-set, automation logic, and execution framework built on top of those general ideas.
Repainting Note: The "Ghost Mode" (Preview) functionality evaluates live price action. A "Triggered" status on a live candle may disappear if the candle closes without confirming the inversion. Always wait for candle closes for confirmed signals.
Risk Management: The built-in position sizer is a calculation aid only. Always verify contract sizes and risk against your broker's requirements before executing trades.
Risk & Platform Disclaimer
This script is provided for educational and analytical purposes only and does not constitute financial advice.
All signals, trade examples, position sizing, and performance metrics are hypothetical and for demonstration purposes only. Past or simulated performance does not guarantee future results.
Trading financial instruments involves substantial risk and may not be suitable for all traders. You are solely responsible for your trading decisions and risk management.
TradingView bears no responsibility for any losses, damages, or outcomes resulting from the use of this script.
Pine Script v6 | Powered by
3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)
ICT Opening Gap Strategy [Momentum1]Momentum strategy taken off the close of the first candle after the NDOG/NWOG. Built with Gemini.
ICT Gap Retest Strategy [Custom Exits]Gap Retest Strategy with customizable exit conditions and two adjustable trade windows. Enters on the candle following a retest and exit of the NDOG/NWOG. Written with Gemini.
Emoji TP/SLChoose an emoji for price, take profit, and stop loss. Choose ticks as a live moving TP/SL visual. Choose price to see a fixed TP/SL.
Emoji Price + TP + SL FollowerEmojis following price, TP, and SL. For the homies only. We ain't playin dat foo foo broke boy no mo. put the fries in the bag
ORB Algo | WolfOfFuturesThis Script is an updated version of the Flux Charts ORB Algo
15min ORB default
4EMA breakout Condition
Dynamic TP Default
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.






















