SK INTRAY SETUPthis indicator help to trade in the primary trend direction with align and in direction of the trend
Padrões gráficos
BTC Accum/Dist BUY SELL PRO(ZeeShan)BTC Accum/Dist BUY SELL PRO is a volume-based indicator designed for Bitcoin. It uses Accumulation/Distribution with EMA cross and trend slope to highlight smart-money buying and selling zones, showing clear BUY/SELL arrows, trend background, and alerts.
StO Price Action - Daily Outside BarShort Summary
- Outside Bar indicator with multiple range calculation algorithms
- Highlights where the current range fully engulfs the previous
- Works with Daily candles in Daily, H4, and H1 timeframes only
- Highlights the current bar when it engulfs the previous bar according to the selected method
Full Description
Overview
- Identifies bars where the current period's range fully engulfs the prior period's range
- Offers three algorithms for defining the engulfing range:
- High/Low: uses absolute high and low values
- Open/Close: considers candle direction (bull/bear) and compares opens and closes
- Open/Close II: stricter version with exclusive inequalities for engulfing
- Engulfing behavior is detected automatically and highlighted for easy recognition
- Works on multiple markets but restricted to D, H4, and H1 charts for accuracy
Controls
- Year lookback (YLB) configurable to filter older bars
- Custom background color for highlighting Outside Bars
- Simple toggle interface with minimal chart clutter
Visual Representation
- Highlights engulfing bars with configurable background color
- Color transparency adjustable for clarity
Usage
- Use to identify strong market momentum or potential reversals
- Helps spot high-probability setups based on engulfing price action
Notes
- Only compatible with Daily, H4, and H1 timeframes
- Non-repainting: once an Outside Bar is drawn, it will not adjust retroactively
- Best used as a market structure reference not a direct trade signal
WatchmenThe Watchmen Indicator tracks potential market maker breakeven zones using dynamic open/close ranges (no wicks in Fib calc). It expands the range until the 50% level is breached by the full candle range, then resets. Green = long/down setups (buy retrace), Red = short/up setups (sell retrace). Uses only open/close for levels, high/low for breaches. Ideal for mean-reversion in trends.
Multi-Timeframe EMA-VWAP EntryTrend Following strategy. Based on Exponential moving averages and Volume weighted average price. Good for trending instruments on day trading basis
Pro Structure: Precision MSS/BOS & Extended FVG1. Precision Structure Mapping (BOS & MSS) Unlike standard ZigZag indicators that just connect pivots, this script visualizes the exact "Break" point:
MSS (Market Structure Shift): Displayed as a Thick Solid Line. This signals a potential trend reversal (e.g., breaking a Lower High in a downtrend).
BOS (Break of Structure): Displayed as a Thin Dashed Line. This signals trend continuation in the current direction.
Visual Logic: The lines originate exactly from the Swing Pivot and terminate exactly at the candle that closes beyond that pivot, providing instant visual confirmation of the break.
2. Trend-Filtered Fair Value Gaps (FVG) To reduce "Analysis Paralysis," this indicator uses an active trend filter:
Bullish Trend: Only Bullish FVGs (Green) are highlighted. Bearish FVGs are hidden to prevent counter-trend confusion.
Bearish Trend: Only Bearish FVGs (Red) are highlighted.
Extended Zones: FVG boxes are automatically projected forward (default: 5 candles) to help identify immediate entry zones before price returns to them.
3. Clean Aesthetics The chart remains minimal. Labels are non-intrusive, and color coding is strictly defined (Green for Bullish structure/FVGs, Red for Bearish structure/FVGs), allowing for rapid decision-making.
Settings
Swing Detection Length: Customize the sensitivity of the structure (lower for scalping, higher for macro trends).
FVG Extension: Control how far into the future the FVG boxes are drawn.
Visuals: Fully customizable colors and label options.
This tool is intended to assist in identifying high-probability structural points and aligned entry zones.
Smart Signal Assistant (Kewme)Smart Signal Assistant (Kewme) – Professional Trading Suite
Overview The Smart Signal Assistant (Kewme) is a comprehensive, all-in-one trading toolkit designed to bring institutional-grade discipline and visual clarity to your trading. Unlike clutter-heavy indicators, this system focuses on precision and risk management. It combines a powerful trend-following engine with an automated trade manager that visualizes your risk and reward in real-time.
Key Features
1. 🛡️ Disciplined Trade Management (One Trade at a Time) Stop over-trading with the built-in "Focus Mode."
No Signal Spam: The system will never generate a new signal while a trade is currently running.
Active Management: A new signal is only generated after the current trade has either hit the Take Profit (TP) or the Stop Loss (SL). This enforces strict trading discipline.
2. 📦 Dynamic Risk/Reward Boxes Visualizing your trade has never been easier.
Instant Zones: Upon a signal, the script automatically draws a Green Profit Zone and a Red Loss Zone directly on the chart.
ATR-Based Precision: Stop Loss levels are calculated dynamically using Average True Range (ATR), ensuring your stops breathe with market volatility.
Auto-Cutoff: The boxes automatically stop drawing the moment price hits your TP or SL, keeping your chart clean and historical performance visible.
3. 🎯 Clear Exit Labels No more guessing. The script clearly marks the exact candle where your trade closed:
TP Hit 🎯: Appears when your target is reached.
SL Hit ❌: Appears if the market goes against you.
4. 🚀 Smart Trend Engine & Filters
Hybrid Modes: Choose between "Swing" (for reliable, long-term trends) or "Scalping" (for quick, short-term moves).
Trend-Range Classifier (TRC): An intelligent filter system that monitors ADX and market volatility. It automatically blocks signals during choppy, sideways markets to protect your capital.
5. 📊 Live Status Dashboard A sleek, on-chart dashboard provides real-time data at a glance:
Trade Status: Shows if a trade is "RUNNING" or "SEARCHING."
Market Bias: Bullish or Bearish.
Trend Strength: Indicates if the market is Strong or Sideways.
How to Use
Select Mode: Choose 'Swing' for higher timeframes or 'Scalping' for lower timeframes in settings.
Adjust Risk: Set your preferred Risk/Reward Ratio (e.g., 1:2) and SL Multiplier.
Follow the Boxes: Enter when the box appears, and exit exactly when the "TP Hit" or "SL Hit" label pops up.
Disclaimer: This tool is for educational and assistance purposes only. Always use proper risk management.
Strong Support & Resistance Zones (4H)Below is a clean, strong Support & Resistance ZONE indicator with:
✅ Stronger / fewer levels (higher pivot strength)
✅ Zones instead of single lines
✅ Alerts when price enters zones
✅ Fixed Higher Timeframe = 4H
✅ Non-repainting (after confirmation)
used Chat GPT to make this.
Previous Day Range MarkerThis indicator highlights the high and low of the last confirmed candle on the current timeframe and optionally displays the range of the previous trading day (Daily) on lower timeframes.
It also calculates and shows the candle range in percent, helping traders quickly assess volatility and higher-timeframe context.
All levels are plotted forward into the future and can be individually enabled or disabled.
ICT 7/8/9am lines NY session + 7.30/8.30/9.30 linesThis script show the 7, 8, 9 AM NY session lines, together with the 7.30, 8.30 and 9.30AM lines, like ICT teaches in the 2024 Mentorship, lesson 2.
Feel free to use it!
RSI as Volume-Style Histogram + Right Valuesthis indicator shows rsi levels per candle the same as volume bars appear with a box showing the avg rsi throughout the session and also shows the previous candles closing rsi to better compare when looking to identify momentum
FVG (Visual) - Last N Bars + Delete 5 Bars After NEW TouchThis indicator shows the latest FVG visually and also indicates what type of FVG it is.
KJ Sessions : Asia/London/US + OverlapKJ Sessions : Asia/London/US + Overlap.
times are set as per dubai time.
Bar Count & EMABar Count & EMA Indicator
A clean and lightweight indicator designed for intraday price action traders.
Features:
1. Bar Count
Displays bar numbers only on 3-minute and 5-minute timeframes
Works during Regular Trading Hours (RTH) only
Shows bar 1 and multiples of 3 (3, 6, 9, 12, 15...)
Color-coded for key bars: Bar 18 & 48 (Red), Bar 6 (Light Green), Multiples of 12 (Sky Blue), Others (Gray)
2. EMA 20
Simple 20-period Exponential Moving Average
Customizable source, length, offset, and color
Why these specific timeframes?
5-Minute Chart (US Markets):
Bar 6, 12, 18, 24... represent 30-min, 1-hour, 1.5-hour intervals
Bar 18 and 48 often mark significant intraday turning points
Best for: ES, NQ, SPY, QQQ
3-Minute Chart (China A-Share Markets):
Bar 10, 20, 30... represent 30-min, 1-hour, 1.5-hour intervals
Designed for CSI 1000 Index Futures (IM) and other China futures
Helps track the 4-hour trading session rhythm (9:30-11:30, 13:00-15:00)
Why Bar Count Matters:
Tracking bar numbers helps traders identify market rhythm, timing cycles, and potential reversal zones throughout the trading session.
Bradley Industries IndicatorThe Bradley Industries Indicator is a confluence-based trading system designed to identify early trend impulses while filtering out late or low-probability entries.
It combines four independent indicators, each measuring a different market dimension, and only generates a primary signal when all four align on the same bar.
The philosophy of the system is simple:
Enter only when structure, momentum, volatility, and directional flow agree at the start of a move.
Look-back Value V1新增 MA10 與 MA120 的計算、繪圖、表格顯示。
新增 table_pos 參數,可選擇表格顯示位置(top_left, top_right, bottom_left, bottom_right)。
所有 table.cell 改用 具名參數 text_color,避免誤判成 width。
這樣你就能靈活選擇表格位置,並同時觀察 MA5、MA10、MA20、MA60、MA120、MA240 的扣抵分析。
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Magnitude of MovementThie calculase the ratio between Mod of Open Price-Current Price and Mod of Open Volume and current volume






















