Full Dashboard V20 - Pro PA & Stoch OVB/OVS StatusTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Candlestick analysis
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
Candle Size Table (Big Font & Colors)Symbols: gold, oil, BTC, silver, USDJPY, GBPUSD, USDCAD, AUDUSD
Timeframes: 1m and 5m
Size of the previous candle (for each TF)
I’ll assume “size” = candle range (high − low) of the previous closed candle.
NY Open 15M high low ( carrillos )This indicator marks the high and low of the first candle when the New York market opens, ideal for day trading.
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader )
Overview
Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens.
The Problem It Solves
Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow.
How It Works
Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy.
Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity.
Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze.
Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze.
Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal.
Key Features
No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking.
Squeeze Logic: Prevents you from overtrading in a "dead" market.
Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders.
Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes.
How to Trade with This Indicator
Step 1 (The Wait): Wait for the gray background (Squeeze).
Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings.
Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears.
Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio.
Settings Explained
Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother.
Squeeze Length: Default is 20. Controls how sensitive the sideways detection is.
Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator
Overview
The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals.
Integration Rationale & Component Synergy
1. Dual EMA Trend System + Stochastic RSI Convergence
Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength.
Synergy Mechanism:
The dual EMA system (12/25 periods) identifies primary trend direction
Stochastic RSI (14-period) provides overbought/oversold readings within that trend
Trend signals are only confirmed when both systems align, reducing whipsaws
EMA crossovers provide entry signals, while Stochastic RSI validates momentum
2. MA Filter Integration
Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction.
Synergy Mechanism:
200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark
Long positions only triggered above 200-MA in bullish trends
Short positions only triggered below 200-MA in bearish trends
Provides multi-timeframe confirmation to intraday signals
3. Background Highlight System
Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions.
Synergy Mechanism:
Background colors highlight Stochastic RSI events without cluttering price chart
Different colors for different signal types (middle cross, overbought/oversold, level breaks)
Works in parallel with other systems, providing additional context without interference
Component Functions & Operational Principles
Core Components:
Dual EMA System
Fast EMA (12): Quick trend changes
Slow EMA (25): Confirmed trend direction
Mode: Switchable between dual EMA display and single EMA
Signal generation based on EMA positioning and consecutive bars
Stochastic RSI System
Combines RSI momentum with stochastic oscillator principles
Triple-smoothed (RSI → Stochastic → K/D smoothing)
Predefined levels: 80 (overbought), 50 (middle), 20 (oversold)
Multiple cross types for different market conditions
Signal Generation Logic
Consecutive count mechanism for trend persistence
"B" signals: Initial bullish EMA alignment
"S" signals: Initial bearish EMA alignment
Candlestick coloring for visual trend representation
Alert Systems
EMA cross alerts for major trend changes
Stochastic RSI cross alerts for momentum shifts
Separate alerts for different signal categories
Practical Usage Guidelines
For Trend Traders:
Primary Trend Identification: Use EMA positioning relative to 200-MA
Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment
Trend Continuation: Monitor consecutive bar counts and candlestick colors
Exit Signals: Watch for opposing signals or Stochastic RSI divergence
For Range/Swing Traders:
Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80)
Middle Crosses: Stochastic RSI crosses around 50 level
EMA Filter: Use 200-MA as support/resistance reference
Customization Options:
Adjust EMA periods for different trading styles
Modify Stochastic RSI parameters for sensitivity
Enable/disable background highlights based on preference
Select MA type and period for trend filtering
Originality & Unique Features
Distinctive Integration:
Consecutive Count System: Tracks trend persistence beyond simple crossovers
Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights
Flexible EMA Modes: Switch between dual and single EMA displays
Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation
Practical Design Choices:
Color Scheme: Blue for bullish, orange for bearish (clear differentiation)
Signal Prioritization: Initial signals marked with letters, trends with colors
Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter)
Clean Visualization: Information-rich display without chart clutter
Important Disclaimers & Limitations
Realistic Expectations:
This indicator provides signals, not guarantees
All technical indicators have inherent lag
Market conditions change; no system works perfectly in all environments
Cryptocurrency markets exhibit high volatility and unpredictable behavior
Proper Usage:
Never rely solely on one indicator for trading decisions
Always use appropriate risk management and position sizing
Consider fundamental factors and market context
Test thoroughly on historical data before live implementation
Adjust parameters to match specific cryptocurrency pairs and timeframes
Development Philosophy
This indicator was developed with these principles:
Evidence-Based: Components based on widely researched technical concepts
Practical Focus: Designed for actual trading use, not theoretical perfection
User-Centric: Customizable to individual preferences and trading styles
Transparent: Clear logic without "black box" calculations
Final Recommendations
For optimal results:
Start with default parameters on major cryptocurrency pairs (BTC, ETH)
Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles
Use higher timeframes (4H, Daily) for primary trend analysis
Combine with volume analysis and market structure for confirmation
Regularly review and adjust settings as market conditions evolve
The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Full Dashboard V21 - Time Left Color LogicTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence.
The EMAs used are EMA 9, EMA 12 and EMA 20.
When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal.
The way to use it is to apply it onto the Pine Screener.
You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan.
If Condition is True, the candlesticks would have a green arrow below and the background is highlighted.
The script is published, feel free to amend it as you like
Have a Nice Day, and Trade Safe !
ICT Silver Only Toolkit (XAGUSD) No Baby ICTThis indicator is designed exclusively for Silver (XAGUSD) and applies core ICT concepts to help traders identify high-probability smart-money setups. It automatically plots the Asia session range, London and New York killzones, previous day high/low, equal highs and lows (liquidity pools), Asia liquidity sweeps, and ICT fair value gaps (FVGs).
The toolkit also includes “Do Nothing” warning labels to help traders avoid low-quality conditions such as trading outside killzones, extended pre-NY moves, or impulsive candles. Built for precision and patience, this indicator supports traders who wait for liquidity, displacement, and retracement rather than chasing price.
Best used on 1–15 minute charts during London and New York sessions.
No indicators for bias guessing. No scalping gimmicks. Just clean ICT structure for Silver.
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
Full Dashboard V18 - Pro PA & Column CustomizationTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
- can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Terilss final EMA 20 Body Cross + 1:1 RR AlertEMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
External Market Structure from BBCits a external market structure from bbc for highs and lows for trend analysis
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
M5/H4 Candle Box In order to quickly identify a single H4 candle on an M5 timeframe, I built an indicator that visually aggregates the corresponding lower-timeframe candles.
Infinity Silver Cycle Map - 9-Point ProgrammableInfinity Silver Cycle Map — 9-Point Programmable + Inversion + 4MA is a time-structure overlay built to help visualize repeating rhythm in Silver by mapping a fixed-length cycle (default 42 bars) into 9 programmable pivot zones (P1–P9).
This script does not predict price or claim performance. Its purpose is to make cycle timing visible and testable in replay by plotting consistent time-based reference points that traders can compare against historical swing behavior.
What this script does
Draws a repeating cycle framework
You define a Cycle Length (bars) and 9 point offsets inside that cycle.
The script then draws:
Past cycles (faded)
The current cycle
The next cycle (projection)
Highlights timing windows (optional)
Each pivot can display a ± bar tolerance window so you can treat pivots as zones instead of exact “one-bar” events.
Plots 4MA and 4MA (optional)
A 4-period moving average and its prior value are plotted as a compact trend/inflection reference.
This is included as context, not as a standalone entry/exit system.
Displays a small status table
Shows the script name, cycle settings, directional bias label, inversion state, and the anchor value.
Optional symbol-lock
If enabled, outputs can be hidden unless the chart symbol looks like Silver (e.g., XAG / SI), preventing accidental use on unrelated tickers.
How it works (concepts behind the calculations)
A) Cycle mapping (bar-count time structure)
This indicator uses bar-based cycle segmentation:
A “cycle” is treated as a repeating span of N bars (default 42).
Pivot points are expressed as bar offsets inside that cycle (P1–P9).
Each pivot is then projected backward (past cycles) and forward (next cycle) to create a repeating time grid.
This is a time alignment tool: it measures where we are in the cycle and makes those timing landmarks visible.
B) Directional state (minimal / stable)
The Bias label (LONG / SHORT / STAND ASIDE) is derived from simple agreement checks:
Price relative to a short mean (SMA of close)
A smoothed RSI line vs its signal line
If both conditions align bullish → LONG
If both align bearish → SHORT
Otherwise → STAND ASIDE
C) Inversion toggle (presentation switch)
“Invert Bias” flips LONG ↔ SHORT.
This is provided to support alternative interpretations or testing workflows; it does not change the cycle map itself.
How to use it
Start by calibrating the cycle
Set Cycle Length and P1–P9 offsets to match the time structure you observe in Silver.
Use Past Cycles to visually verify whether swings tend to cluster near certain pivot zones.
Treat pivots as timing zones
Enable ± Timing Window and set tolerance (± bars) to account for real-world variation.
Use pivots as “attention zones” where trend continuation or reversal is more likely to occur in time.
Use 4MA as context
The 4MA and 4MA lines help you see whether price is accelerating, flattening, or inflecting as a pivot zone approaches.
Use Bias as a filter, not a promise
Bias is best used as a lightweight “state label” when reviewing cycle behavior, not as a standalone trade trigger.
Notes & limitations
This is a time-based framework, so behavior will differ across timeframes and Silver tickers.
Pivot placement is intentionally user-controlled; the script does not auto-optimize points.
This tool provides structure and context; it does not place trades and does not provide financial advice.
[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.
Volume footprint 15 bars by MH RaajThis multi volume data indicator is as same as the Volume footprint of previous version just difference is, it shows only the data of last 15 bars in classic mode of volume footprint.
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
[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.
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