VWolf – Momentum TwinOVERVIEW
VWolf – Momentum Twin is designed to identify high-probability momentum reversals emerging from overbought or oversold market conditions. It employs a double confirmation from the Stochastic RSI oscillator, optionally filtered by trend and directional movement conditions, before executing trades.
The strategy emphasizes consistent risk management by scaling stop-loss and take-profit targets according to market volatility (ATR), and it provides advanced position management features such as partial profit-taking and automated stop-loss adjustments.
RECOMMENDED USE
Markets: Major FX pairs, index futures, large-cap stocks, and top-volume cryptocurrencies.
Timeframes: Best suited for M15–H4; adaptable for swing trading on daily charts.
Trader Profile: Traders who value structured, volatility-adjusted momentum reversal setups.
Strengths:
Double confirmation filters out many false signals.
Multiple filter options allow strategic flexibility.
ATR scaling maintains consistent risk across assets.
Trade management tools improve adaptability in dynamic markets.
Precautions:
May produce fewer trades in strong one-direction trends.
Over-filtering can reduce trade frequency.
Requires validation across instruments and timeframes before deployment.
CONCLUSION
The VWolf – Momentum Twin offers a disciplined framework for capturing momentum reversals while preserving flexibility through its customizable filters and risk controls. Its double confirmation logic filters out a significant portion of false reversals, while ATR-based scaling ensures consistency across varying market conditions. The optional trade management features, including partial profit-taking and automatic stop adjustments, allow the strategy to adapt to both trending and ranging environments. This makes it a versatile tool for traders who value structured entries, robust risk control, and adaptable management in a variety of markets and timeframes.
Analizy Trendu
VWolf – Hull VectorOVERVIEW
VWolf – Hull Vector is a momentum-driven trend strategy centered on the Hull Moving Average (HMA) angle. It layers optional confirmations from EMA/DEMA alignment, DMI/ADX strength, and Supertrend triggers to filter lower-quality entries and improve trade quality.
Risk is controlled through capital-based position sizing, ATR-anchored stops and targets, and dynamic trade management (partial exits and stop movement). The strategy supports Backtest and Forwardtest modes with configurable date ranges, and a market profile toggle (Forex vs. Stocks) to adjust internal scaling for price behavior.
RECOMMENDED USE
Markets: Major Forex pairs, index CFDs/futures, and liquid stocks with clean trend legs.
Styles: Intraday and swing applications where momentum continuation is common.
Volatility Regimes: Performs best in trending or expanding-volatility environments; consider tightening thresholds in choppy phases.
Workflow Tips:Start with HMA angle + ST trigger only; then layer DEMA and DMI/ADX if you need more selectivity.
Use Forwardtest dates to simulate out-of-sample performance after tuning Backtest parameters.
Re-evaluate angle thresholds when switching between Forex and Stocks modes.
Strengths
Clear momentum core (HMA angle) with optional, orthogonal filters (trend alignment, strength, trigger).
Robust risk tooling: ATR/ST stops, two-step profits, and capital-based sizing.
Testing discipline: Native Backtest/Forwardtest scoping supports walk-forward validation.
Broad portability: Works across instruments thanks to market-aware scaling.
Precautions
Over-filtering risk: Enabling all gates simultaneously may under-trade; calibrate selectivity to your timeframe.
Sideways markets: Expect more whipsaws when slope hovers near zero; raise angle threshold or rely more on ADX gating.
Overfitting hazard: Tune on one regime, then verify with Forwardtest windows and alternative markets/timeframes.
VWolf – Hulk StrikeOVERVIEW
VWolf – Hullk Strike is a dynamic trend-following strategy designed to capture pullbacks within established moves. It combines a configurable Moving Average (HULL, EMA, SMA, or DEMA) trend filter with DMI/ADX confirmation and a Stochastic RSI timing trigger. Risk is managed through ATR- or Supertrend-based stops, optional partial profit-taking, and automatic stop adjustments. The strategy aims to rejoin momentum after controlled retracements while maintaining consistent, quantified risk
RECOMMENDED USE
Markets: Liquid indices, major FX pairs, large-cap equities, high-liquidity crypto pairs.
Timeframes: M15 to D1 (stricter filters for lower timeframes, looser for higher).
Profiles: Traders seeking structured trend participation with systematic timing.
Strengths
Highly flexible trend engine adaptable to multiple markets.
Dual confirmation reduces false signals during pullbacks.
Risk-first design with multiple stop models and partial exits.
Precautions
Over-filtering may reduce trade frequency and miss fast continuations.
Under-filtering may increase whipsaw risk in choppy markets.
Backtest vs forward-test differences if date/session filters are inconsistent.
CONCLUSION
VWolf – Hullk Strike is designed to capture the “second leg” of a trend after a controlled retracement. With configurable MA strictness, DMI/ADX strength filters, and precise Stoch RSI timing, it enhances selectivity while keeping responsiveness. Its stop/target framework—anchored stops, proportional targets, partial exits, and dynamic stop moves—offers disciplined risk control and upside preservation.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf – EquinoxOVERVIEW
The VWolf – Equinox strategy integrates multiple technical filters, skew deviation logic, and advanced momentum indicators to identify high-probability trend continuation and reversal setups. Built upon the Vumanchu framework, this strategy applies filters such as EMA, DEMA, Supertrend, QQE, ADX/DMI, and customized skew thresholds. It combines these with divergence detection, volatility conditions, and risk-managed trade execution for dynamic adaptability across market conditions.
Its architecture is designed to provide flexibility for both backtesting and forward testing periods, while allowing traders to fine-tune entry confirmations and risk management tools based on their preferred market or timeframe.
RECOMMENDED USE
Markets: Forex, equities, and potentially crypto markets due to skew/volatility adaptability.
Timeframes: Works best on intraday (15m–1H) and swing-trading (4H–1D) horizons.
Trader Profile: Suited for intermediate to advanced traders who value multiple confirmation layers and dynamic risk management.
Strengths:
Robust filter system reduces false signals.
Flexible exit strategies with dynamic profit-taking.
Adaptability across different assets and timeframes.
Precautions:
Complexity may overwhelm beginners; careful parameter tuning is recommended.
Too many active filters can reduce signal frequency, potentially missing opportunities.
Divergence and skew thresholds require calibration to each market’s volatility regime.
CONCLUSION
The VWolf – Equinox stands out as one of the most comprehensive strategies in the VWolf library, combining skew deviation with a wide array of technical filters. Its layered confirmation system reduces noise and improves reliability across volatile markets. While powerful, its effectiveness depends on thoughtful parameter selection and disciplined risk management. This makes it a strong candidate for experienced traders seeking depth, adaptability, and dynamic trade control.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Basic EdgeOVERVIEW
VWolf - Basic Edge is a clean and accessible crossover strategy built on the core principle of moving average convergence. Designed for simplicity and ease of use, it allows traders to select from multiple types of moving averages—including EMA, SMA, HULL, and DEMA—and defines entry points strictly based on the crossover of two user-defined MAs.
This strategy is ideal for traders seeking a minimal, no-frills trend-following system with flexible exit conditions. Upon crossover in the selected direction (e.g., fast MA crossing above slow MA for a long entry), the strategy opens a trade and then manages the exit based on the user’s chosen method:
Signal-Based Exit:Trades are closed on the opposite crossover signal (e.g., long is exited when the fast MA crosses below the slow MA).
Fixed SL/TP Exit:The trade is closed based on fixed Stop Loss and Take Profit levels.Both SL and TP values are customizable via the strategy’s input settings.Once either the TP or SL is reached, the position is exited.
Additional filters such as date ranges and session times are available for backtesting control, but no extra indicators are used—staying true to the “basic edge” philosophy. This strategy works well as a starting framework for beginners or as a reliable, lightweight system for experienced traders wanting clean, rule-based entries and exits.
RECOMMENDED FOR
- Beginner to intermediate traders who want a transparent and easy-to-follow system.
- Traders looking to understand or build upon classic moving average crossover logic.
- Users who want a customizable but uncluttered strategy framework.
🌍 Markets & Instruments:
Well-suited for liquid and trending markets, including:Major forex pairs
Stock indices
Commodities (e.g., gold, oil)
Cryptocurrencies with stable trends (e.g., BTC, ETH)
⏱ Recommended Timeframes:
Performs best on higher intraday or swing trading timeframes, such as:15m, 1h, 4h, and 1D
Avoid low-timeframe noise (e.g., 1m, 3m) unless paired with strict filters or volatility controls.
FOR MORE INFORMATION VISIT vwolftrading.com
Non-Repainting Dynamic EMA SystemDynamic EMA System - Detailed Explanation
Overview
This indicator creates four adaptive Exponential Moving Averages (EMAs) that automatically adjust their periods based on current market conditions. Unlike traditional fixed-period EMAs, these lines dynamically become faster or slower to better match the market's behavior.
Core Components
1. Base EMA Lengths (Starting Points)
EMA 1: Base period of 10 (fastest)
EMA 2: Base period of 20 (fast-medium)
EMA 3: Base period of 30 (medium)
EMA 4: Base period of 200 (trend identifier)
These base values are not fixed—they serve as starting points that get multiplied by various market condition factors.
Market Analysis Features
The indicator analyzes 12 different market characteristics to understand current conditions:
Technical Indicators Used:
RSI (Relative Strength Index)
Measures momentum and overbought/oversold conditions
Normalized to 0-1 scale
ADX (Average Directional Index)
Measures trend strength
Higher values = stronger trends
Bollinger Bands Position
Shows where price sits relative to volatility bands
Indicates potential reversals or breakouts
VWAP (Volume Weighted Average Price)
Institutional trading benchmark
Signals if price is above/below average weighted price
Ichimoku Cloud
Japanese indicator showing support/resistance
Tenkan-Kijun relationship indicates trend direction
TRAMA (Triangular Moving Average)
Advanced adaptive moving average
Responds to genuine price movements
Volume Analysis
Compares current volume to 20-period average
Higher volume = more significant moves
ATR-Based Volatility
Weighted by volume for accuracy
Adjusts EMAs to market speed
Shannon Entropy
Measures market randomness vs. order
High entropy = choppy; Low entropy = trending
Price Correlation (Short-term)
How consistent price movements are
Detects momentum shifts
Price Correlation (Long-term)
Broader trend consistency
Confirms regime stability
Volume Strength
Normalized volume ratio
Validates price movements
How Length Adaptation Works
Market Regimes Identified:
The system identifies 4 distinct market conditions based on the 12 features:
Regime 1 (Green): Calm, ranging market → Shorter EMAs (more responsive)
Regime 2 (Blue): Strong trending market → Medium-length EMAs (balance speed/noise)
Regime 3 (Red): High volatility/choppy → Longer EMAs (filter noise)
Regime 4 (Gray): Transitional/neutral → Moderate EMAs (adaptive middle ground)
Adaptation Formula:
Each EMA length is calculated as:
Final Length = Base Length × Regime Multiplier × Volatility Adjustment × Momentum Adjustment × Entropy Adjustment
Where:
Regime Multiplier: 0.3x to 2.5x depending on market type
Volatility Adjustment: Increases length during high volatility (filters noise)
Momentum Adjustment: Based on RSI - extreme readings adjust sensitivity
Entropy Adjustment: Lower entropy (trending) = tighter EMAs
Key Adaptive Features
1. Volatility Response
When market volatility increases:
EMAs lengthen automatically to avoid whipsaws
Calculated using ATR weighted by volume
2. Volume Integration
Higher volume makes the system:
React faster to price changes
Increase learning rate
Trust the current move more
3. Correlation Analysis
Short-term correlation: Detects immediate momentum
Long-term correlation: Confirms overall trend stability
Adjusts EMA sensitivity accordingly
4. Entropy Monitoring
Measures market "disorder"
Trending markets → Tighter EMAs (follow trend)
Choppy markets → Wider EMAs (reduce noise)
Non-Repainting Design
Critical Safety Features:
Confirmed Data Only
All calculations use close , high , low , etc.
Current bar data is only used if barstate.isconfirmed
Locked Updates
EMA lengths only change when bar closes
Variables prefixed with confirmed_ store locked values
No Look-Ahead
System learns from past bars only
Future data cannot influence current values
Historical Consistency
Once a bar closes, its EMA values never change
Alerts and signals are reliable
Visual Interpretation
Background Colors:
Green: Calm/ranging market (Regime 1)
Blue: Strong trend (Regime 2)
Red: High volatility/choppy (Regime 3)
Gray: Transitional state (Regime 4)
Color transparency indicates confidence:
Solid color = High confidence in regime identification
Faint color = Lower confidence, potential transition
EMA Lines:
Red EMA (fastest): Short-term momentum
Orange EMA: Medium-term trend
Yellow EMA: Intermediate trend confirmation
Blue EMA: Long-term trend direction
Information Dashboard
The top-right table displays:
Metric Purpose
Regime Strength How strongly current conditions match the identified regime (0-1)
Silhouette Score Quality of regime identification (>0.5 = Excellent, >0.2 = Good)
EMA Values & Lengths Current price level and adaptive period for each EMA
Vol Volatility Volume-weighted volatility measure
Entropy Market randomness level (0 = trending, 1 = random)
Volume Strength Current volume relative to average
Learning Rate How quickly the system adapts (higher = faster adaptation)
Trading Applications
Trend Following:
EMAs aligned in order (1 > 2 > 3 > 4) = Strong uptrend
EMAs aligned reversed = Strong downtrend
Use EMA 4 as major trend filter
Entry Signals:
Fast EMA crosses medium EMA in trend direction
Price pullback to EMA 3 in trending regime
All EMAs converging in ranging regime
Exit Signals:
Fast EMA crosses below medium EMA
Regime change (background color shift)
Silhouette score drops (poor quality)
Regime-Based Strategy:
Green Background: Range trading, fade extremes
Blue Background: Trend following, ride momentum
Red Background: Reduce position size, wait for clarity
Gray Background: Cautious, potential regime shift
Advantages Over Standard EMAs
Automatic Adjustment: No manual tweaking needed for different markets
Context Aware: Understands if market is trending, ranging, or volatile
Volume Integration: Respects institutional involvement
Multi-Factor Analysis: Uses 12 indicators, not just price
Quality Metrics: Silhouette score shows when to trust signals
Non-Repainting: Reliable for backtesting and live trading
Best Practices
Do:
Wait for bar close before acting on signals
Check Silhouette score (>0.2 is reliable)
Use regime color as risk filter
Combine with your trading system
Don't:
Trade against EMA 4 in strong trends
Ignore regime changes
Use in extremely low liquidity
Expect perfection in all conditions
Summary
This is an intelligent, self-adjusting EMA system that reads 12 different market characteristics to automatically optimize its speed. It identifies whether the market is trending, ranging, volatile, or transitional, then adjusts all four EMAs accordingly. The non-repainting design ensures historical accuracy, while the quality metrics (Silhouette score, regime strength) tell you when to trust the signals most.
RSI 14 Cross Up SMA(14) With Volume FiltersUpgrade previous script to show crossover volume strength
MMBS HkOrE FX [V5.11]The Multi-Model Bias System (MMBS) is a composite bias-detection framework that evaluates price behavior using three independent analytical engines: structural confirmation, normalized volatility expansion, and momentum velocity dynamics. The goal of the tool is not to generate trading signals, but to identify the dominant directional bias through multi-factor validation.
🔧 1. Structural Recognition Engine (Multi-Pivot Confirmation)
MMBS identifies market structure using a multi-confirmation pivot model rather than a single swing point.
A Swing High/Low is only confirmed when several consecutive pivot conditions align.
This reduces noise and produces a “stable structure map.”
A bullish bias requires sequential higher-low and higher-high confirmations; bearish bias requires the opposite.
Because this model relies on progressive confirmation, it behaves differently from common fractal-based structure indicators.
This approach allows the bias to remain stable during minor price fluctuations.
🔧 2. Normalized Volatility Boundary (Modified ATR Model)
Volatility is processed using a custom ATR-based normalization:
The script calculates a rolling ATR range, then scales it using a smoothing function to prevent extreme expansion.
This produces a volatility boundary line that adapts proportionally to recent market conditions.
When price approaches this boundary while structural strength weakens, the system flags reduced confidence in the existing bias.
This method differs from standard ATR bands because it compresses outlier volatility instead of amplifying it.
🔧 3. Momentum Velocity Engine (Smoothed ROC Filter)
The momentum module measures acceleration rather than raw momentum:
A smoothed Rate-of-Change curve evaluates whether price velocity is supporting or diverging from the current structure.
Deceleration near the volatility boundary is interpreted as potential instability.
No buy/sell signals are generated—momentum is used strictly for bias confidence filtering.
By focusing on velocity shifts instead of momentum direction alone, the system captures early structural weakening.
🔗 How the Components Interact
A directional bias is assigned only when:
Structure confirmation
Volatility normalization
Momentum velocity
are aligned in the same direction.
If any module diverges, MMBS defaults to a neutral (no-bias) state.
This behavior distinguishes it from single-module indicators that rely solely on trend, volatility, or momentum.
📊 Visual Output
Bias Color Bar — shows the dominant directional bias (bullish / bearish / neutral).
Volatility Boundary Line — reflects the normalized ATR range used for stability validation.
Momentum Markers — point to areas where velocity divergence may invalidate the bias.
These components are informational only and do not represent entry or exit signals.
⚙️ User-Adjustable Inputs
Structure Sensitivity — modifies how many pivot confirmations are required.
Volatility Scaling — adjusts ATR normalization strength.
Momentum Smoothing — controls responsiveness to short-term velocity changes.
🔒 Why the Script Is Invite-Only
The script uses custom structural logic, a custom-developed ATR normalization method, and a ROC-based velocity filter that differs from publicly available tools.
Invite-only access is maintained to ensure responsible use and preserve controlled distribution of the multi-factor bias-model framework.
The script does not rely on any publicly available template and integrates multiple independent computational layers, which justifies restricted visibility under TradingView’s policies.
CK: Locked Session H/L + Volume Profile (1m Fixed)The session roadmap every futures trader needs — without the clutter.
This tool automatically locks the previous session’s structure and gives you the five most important institutional levels:
✅ Locked Session High
✅ Locked Session Low
✅ Session POC (Point of Control)
✅ VAH – Value Area High
✅ VAL – Value Area Low
Everything is calculated using 1-minute data only, so your levels are accurate, consistent, and never repaint.
💡 What It Does
Tracks the entire session from the RTH close to the next RTH close.
Builds a volume-by-price profile for that session.
Automatically freezes the session’s:
Highest price
Lowest price
Most-traded price (POC)
70% value area (VAH/VAL)
Plots all levels as clean horizontal lines for today’s trading.
🚀 Why Traders Use This
These 5 levels control most algorithmic and institutional activity.
This indicator shows you exactly where price reacted yesterday, so you can:
Catch retests and bounces with confidence
Avoid trading in the middle of nowhere
Anticipate reversals, breakouts, and liquidity grabs
Build a consistent plan around the same fixed levels every day
TradePulse ProTradepulse is a proprietary trading tool that combines a directional signal engine, a trend-adaptive trailing stop system, and a momentum confirmation oscillator into a unified decision framework. Instead of simply stacking separate indicators on a chart, TradePulse integrates these components into a single rules-based system designed to help traders act with structure rather than emotion by identifying conditions where trend and momentum are aligning.
How It Works:
Directional Signals - TradePulse uses a custom price-average model with ATR-based volatility thresholds to detect transitions between bullish and bearish environments. Buy and Sell markers appear only when price strength and volatility conditions confirm a shift. Reducing noise and late entries.
Trend-Adaptive Trailing Stop - A dynamic trailing system combines smoothed moving averages with ATR expansion logic. As price develops, the trailing level adjusts automatically and target projections update based on symmetry extensions. Helping guide structured exits and trade management.
Momentum Confirmation - A proprietary oscillator blends stochastic positioning with center-of-gravity transformation and dual smoothing. It highlights whether momentum aligns with the directional shift, helping traders avoid weaker setups and focus on higher-quality conditions.
Key Features:
- Clear Buy/Sell transitions based on multi-factor confluence
- Adaptive trailing stop + projected targets for structured management
- Momentum filtering to support higher-quality opportunities
- Sensitivity adjustments to suit different markets & styles
TradePulse is original work protected under invite-only access. It is provided for educational and informational purposes only. Trading involves risk, and signals should always be validated with your own analysis and risk management.
Green to Red Money RailsWhat this indicator does
Green to Red Money Rails (G2R Rails) is a price-action tool that draws dynamic “rails” from recent swing lows and highs. It tracks how support and resistance are shifting so you can see where trend pressure is building or weakening.
Core logic (high level)
Detects pivot lows and stores the last three (L1, L2, L3).
Builds green support “fans”: inner dotted rails L1→L2 and L2→L3, plus a main solid base rail L1→L3.
Detects pivot highs and, when the last high is lower than the previous one, draws a red resistance rail from H2→H3.
Optional labels mark the most recent swing low (“L”) and swing high (“H”).
How to use it
Use the green rails as dynamic support zones for trend-following, pullback entries, or stop placement.
Use the red rail as a visual ceiling in downtrends: breaks above it can signal the end of a sell-off; rejections at it confirm sellers still in control.
Works best on liquid markets and swing-trading timeframes (for example, 1h–1D). Always combine with your own risk management and higher-timeframe context.
This script does not auto-generate signals or manage risk for you; it is a visual framework for reading structure and building your own trading plans.
Vassago & Tesla Ex-Machina 197 45 21 [Hakan Yorganci]Vassago & Tesla Ex-Machina 197 45 21
"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke
🌑 The Genesis: Algorithmic Esotericism
This script is not merely a technical indicator; it is a digital artifact born from the convergence of Software Engineering and Hermetic Tradition.
As a developer and researcher dedicated to "Technomancy"—the study of applying esoteric logic to computational systems—I designed this algorithm using a custom, experimental programming environment I am currently developing. My goal was to move beyond standard, arbitrary financial inputs (like the default 200 SMA or 14 RSI) and instead derive parameters based on Universal Harmonics and Historical Archetypes.
This indicator, Ex-Machina, is the result of that transmutation. It applies ancient numeric precision to modern market chaos.
🔢 Decoding the Protocol: 197 - 45 - 21
Why these specific numbers? They were not chosen randomly; they were calculated through specific harmonic reductions to filter out market noise.
1. The Harmonic Trend (Tesla Protocol)
* The Logic: Standard analysis uses the 200-period Moving Average simply out of habit. However, applying Nikola Tesla’s 3-6-9 vibrational principles, the engine reduced the period to 197.
* The Numerology: 1+9+7 = 17 \rightarrow 1+7 = \mathbf{8}. In esoteric numerology, 8 represents infinite power, authority, and financial flow. This creates a baseline that aligns more organically with market accumulation than the static 200.
2. The Hidden Dip (Solomonic Sight)
* The Archetype: Based on the attributes of Vassago, the archetype of discovering "hidden things," the algorithm identified 45 as the precise threshold for a "Sniper Entry."
* The Function: Unlike the standard 30 RSI, this level identifies the exact moment a correction matures within a bullish trend—catching the dip before the crowd returns.
3. The Prophetic Vision
* The Logic: Using the Fibonacci Sequence, the indicator projects the support line 21 bars into the future.
* The Utility: This allows you to visualize where the support will be, granting you foresight before price action arrives.
⚖️ The Dual Mode Engine: Sealed vs. Living
Respecting the user's will, I have engineered this script as a Hybrid System. You can choose how the "spirit" of the code interacts with the market via the settings menu.
1. The Sealed Ritual (Default - Unchecked)
* Philosophy: "Trust in the Constants."
* Behavior: Strictly adheres to the 197 SMA and 45 RSI.
* Visual: Displays a Blue Trend Line.
* Best For: Traders who value stability, long-term trends, and the unyielding nature of harmonic mathematics.
2. The Living Spirit (Adaptive Mode - Checked)
* Philosophy: "As the market breathes, so does the code."
* Behavior:
* Transmutation: The trend line shifts from a Simple Moving Average (SMA) to an Exponential Moving Average (EMA 197) for faster reaction.
* Adaptive Volatility: The RSI entry level (45) becomes dynamic. It expands and contracts based on ATR (Average True Range). In high volatility, it demands a deeper dip to trigger a signal, protecting you from fake-outs.
* Visual: Displays a Fuchsia (Pink) Trend Line.
* Best For: Volatile markets (Crypto/Forex) and traders who want the algorithm to "sense" the fear and greed in the air.
⚙️ How to Trade
* Timeframe: Optimized for 4H (The Builder) and 1D (The Architect).
* The Signal: Wait for the "EX-MACHINA ENTRY" label. This signal manifests ONLY when:
* Price is holding above the 197 Harmonic Trend.
* Momentum crosses the Optimized Threshold (45 or Adaptive).
* Trend Strength is confirmed via ADX.
Author's Note:
I built this tool for those who understand that code is the modern spellbook. Use it wisely, risk responsibly, and let the harmonics guide your entries.
— Hakan Yorganci
Technomancer & Full Stack Developer
TrendForce X🔹 Indicator Overview
This indicator is built to give traders simple, reliable, and high-probability signals by combining three powerful concepts:
market structure, trend direction, and premium/discount zones.
It removes complexity and delivers clean BUY and SELL signals that align with the true flow of the market.
📌 Key Features
Accurate trend detection to stay aligned with market direction
Premium & Discount model to identify smart-money price zones
Automatic Market Structure analysis ( CHoCH & BOS )
BUY signals when price shifts bullishly from a discount area
SELL signals when price breaks structure bearish from a premium area
Clean, user-friendly visual signals
Works on any pair , market , or timeframe .
🟢 Buy Signal Logic
A BUY signal is generated when:
Price is in a discount zone
The market shows a bullish change of structure
This combination filters out weak setups and highlights strong upside reversals.
🔻 Sell Signal Logic
A SELL signal is triggered when:
Price is in a premium zone
The market forms a bearish break of structure
This helps catch high-probability downside moves with precision.
⚠️ Disclaimer
This indicator is a powerful tool, but no indicator guarantees 100% accuracy. Always practice proper risk management and confirm signals with your trading plan.
S&D Light+ Enhanced# S&D Light+ Enhanced - Supply & Demand Zone Trading Strategy
## 📊 Overview
**S&D Light+ Enhanced** is an advanced Supply and Demand zone identification and trading strategy that combines institutional order flow concepts with smart money techniques. This strategy automatically identifies high-probability reversal zones based on Break of Structure (BOS), momentum analysis, and first retest principles.
## 🎯 Key Features
### Smart Zone Detection
- **Automatic Supply & Demand Zone Identification** - Detects institutional zones where price is likely to react
- **Multi-Candle Momentum Analysis** - Validates zones with configurable momentum requirements
- **Break of Structure (BOS) Confirmation** - Ensures zones are created only after significant structure breaks
- **Quality Filters** - Minimum zone size and ATR-based filtering to eliminate weak zones
### Advanced Zone Management
- **Customizable Zone Display** - Choose between Geometric or Volume-Weighted midlines
- **First Retest Logic** - Option to trade only the first touch of each zone for higher probability setups
- **Zone Capacity Control** - Maintains a clean chart by limiting stored zones per type
- **Visual Zone Status** - Automatically marks consumed zones with faded midlines
### Risk Management
- **Dynamic Stop Loss** - Positioned beyond zone boundaries with adjustable buffer
- **Risk-Reward Ratio Control** - Customizable R:R for consistent risk management
- **Entry Spacing** - Minimum bars between signals prevents overtrading
- **Position Sizing** - Built-in percentage of equity allocation
## 🔧 How It Works
### Zone Creation Logic
**Supply Zones (Selling Pressure):**
1. Strong momentum downward movement (configurable body-to-range ratio)
2. Identified bullish base candle (where institutions accumulated shorts)
3. Break of Structure downward (price breaks below recent swing low)
4. Zone created at the base candle's high/low range
**Demand Zones (Buying Pressure):**
1. Strong momentum upward movement
2. Identified bearish base candle (where institutions accumulated longs)
3. Break of Structure upward (price breaks above recent swing high)
4. Zone created at the base candle's high/low range
### Entry Conditions
**Long Entry:**
- Price retests a demand zone (touches top of zone)
- Rejection confirmed (close above zone)
- Zone hasn't been used (if "first retest only" enabled)
- Minimum bars since last entry respected
**Short Entry:**
- Price retests a supply zone (touches bottom of zone)
- Rejection confirmed (close below zone)
- Zone hasn't been used (if "first retest only" enabled)
- Minimum bars since last entry respected
## ⚙️ Customizable Parameters
### Display Settings
- **Show Zones** - Toggle zone visualization on/off
- **Max Stored Zones** - Control number of active zones (1-50 per type)
- **Color Customization** - Adjust supply/demand colors and transparency
### Zone Quality Filters
- **Momentum Body Fraction** - Minimum body size for momentum candles (0.1-0.9)
- **Min Momentum Candles** - Number of consecutive momentum candles required (1-5)
- **Big Candle Body Fraction** - Alternative single-candle momentum threshold (0.5-0.95)
- **Min Zone Size %** - Minimum zone height as percentage of price (0.01-5.0%)
### BOS Configuration
- **Swing Length** - Lookback period for structure identification (3-20)
- **ATR Length** - Period for volatility measurement (1-50)
- **BOS Required Break** - ATR multiplier for valid structure break (0.1-3.0)
### Midline Options
- **None** - No midline displayed
- **Geometric** - Simple average of zone top/bottom
- **CenterVolume** - Volume-weighted center based on highest volume bar in window
### Risk Management
- **SL Buffer %** - Additional space beyond zone boundary (0-5%)
- **Take Profit RR** - Risk-reward ratio for target placement (0.5-10x)
### Entry Rules
- **Only 1st Retest per Zone** - Trade zones only once for higher quality
- **Min Bars Between Entries** - Prevent overtrading (1-20 bars)
## 📈 Recommended Settings
### Conservative (Lower Frequency, Higher Quality)
```
Momentum Body Fraction: 0.30
Min Momentum Candles: 2-3
BOS Required Break: 0.8-1.0
Min Zone Size: 0.15-0.20%
Only 1st Retest: Enabled
```
### Balanced (Default)
```
Momentum Body Fraction: 0.28
Min Momentum Candles: 2
BOS Required Break: 0.7
Min Zone Size: 0.12%
Only 1st Retest: Enabled
```
### Aggressive (Higher Frequency, More Signals)
```
Momentum Body Fraction: 0.20-0.25
Min Momentum Candles: 1-2
BOS Required Break: 0.4-0.5
Min Zone Size: 0.08-0.10%
Only 1st Retest: Disabled
```
## 🎨 Visual Elements
- **Red Boxes** - Supply zones (potential selling areas)
- **Green Boxes** - Demand zones (potential buying areas)
- **Dotted Midlines** - Center of each zone (fades when zone is used)
- **Debug Triangles** - Shows when zone creation conditions are met
- Red triangle down = Supply zone created
- Green triangle up = Demand zone created
## 📊 Best Practices
1. **Use on Higher Timeframes** - 1H, 4H, and Daily charts work best for institutional zones
2. **Combine with Trend** - Trade zones in direction of overall market structure
3. **Wait for Confirmation** - Don't enter immediately at zone touch; wait for rejection
4. **Adjust for Market Volatility** - Increase BOS multiplier in choppy markets
5. **Monitor Zone Quality** - Fresh zones typically have higher success rates
6. **Backtest Your Settings** - Optimize parameters for your specific market and timeframe
## ⚠️ Risk Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always:
- Use proper position sizing
- Set appropriate stop losses
- Test thoroughly before live trading
- Consider market conditions and overall trend
- Never risk more than you can afford to lose
## 🔍 Data Window Information
The strategy provides real-time metrics visible in the data window:
- Supply Zones Count
- Demand Zones Count
- ATR Value
- Momentum Signals (Up/Down)
- BOS Signals (Up/Down)
## 📝 Version History
**v1.0 - Enhanced Edition**
- Improved BOS detection logic
- Extended base candle search range
- Added comprehensive input validation
- Enhanced visual feedback system
- Robust array bounds checking
- Debug signals for troubleshooting
## 💡 Tips for Optimization
- **Trending Markets**: Lower momentum requirements, tighter BOS filters
- **Ranging Markets**: Increase zone size minimum, enable first retest only
- **Volatile Assets**: Increase ATR multiplier and SL buffer
- **Lower Timeframes**: Reduce swing length, increase min bars between entries
- **Higher Timeframes**: Increase swing length, relax momentum requirements
---
**Created with focus on institutional order flow, smart money concepts, and practical risk management.**
*Happy Trading! 📈*
XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)//@version=6
strategy("XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)",
overlay = true,
initial_capital = 10000,
pyramiding = 10,
process_orders_on_close = true)
//━━━━━━━━━━━━━━━━━━━
// 1. INPUTS
//━━━━━━━━━━━━━━━━━━━
// TP / SL
tp1Pips = input.int(10, "TP1 (pips)", minval = 1)
fixedSLpips = input.int(50, "Fixed SL (pips)", minval = 5)
runnerRR = input.float(3.0, "Runner RR (TP2 = SL * RR)", step = 0.1, minval = 1.0)
// Daily risk
maxDailyLossPct = input.float(5.0, "Max daily loss % (stop trading)", step = 0.5)
maxDailyProfitPct = input.float(20.0, "Max daily profit % (stop trading)", step = 1.0)
// HTF S/R (1H)
htfTF = input.string("60", "HTF timeframe (minutes) for S/R block")
// Profit strategy (Option C)
profitStrategy = input.string("Minimal Risk | Full BE after TP1", "Profit Strategy", options = )
// Runner stop mode (your option 4)
runnerStopMode = input.string( "BE only", "Runner Stop Mode", options = )
// ATR trail settings (only used if ATR mode selected)
atrTrailLen = input.int(14, "ATR Length (trail)", minval = 1)
atrTrailMult = input.float(1.0, "ATR Multiplier (trail)", step = 0.1, minval = 0.1)
// Pip size (for XAUUSD: 1 pip = 0.10 if tick = 0.01)
pipSize = syminfo.mintick * 10.0
tp1Points = tp1Pips * pipSize
slPoints = fixedSLpips * pipSize
baseQty = input.float (1.0, "Base order size" , step = 0.01, minval = 0.01)
//━━━━━━━━━━━━━━━━━━━
// 2. DAILY RISK MANAGEMENT
//━━━━━━━━━━━━━━━━━━━
isNewDay = ta.change(time("D")) != 0
var float dayStartEquity = na
var bool dailyStopped = false
equityNow = strategy.initial_capital + strategy.netprofit
if isNewDay or na(dayStartEquity)
dayStartEquity := equityNow
dailyStopped := false
dailyPnL = equityNow - dayStartEquity
dailyPnLPct = dayStartEquity != 0 ? (dailyPnL / dayStartEquity) * 100.0 : 0.0
if not dailyStopped
if dailyPnLPct <= -maxDailyLossPct
dailyStopped := true
if dailyPnLPct >= maxDailyProfitPct
dailyStopped := true
canTradeToday = not dailyStopped
//━━━━━━━━━━━━━━━━━━━
// 3. 1H S/R ZONES (for direction block)
//━━━━━━━━━━━━━━━━━━━
htOpen = request.security(syminfo.tickerid, htfTF, open)
htHigh = request.security(syminfo.tickerid, htfTF, high)
htLow = request.security(syminfo.tickerid, htfTF, low)
htClose = request.security(syminfo.tickerid, htfTF, close)
// Engulf logic on HTF
htBullPrev = htClose > htOpen
htBearPrev = htClose < htOpen
htBearEngulf = htClose < htOpen and htBullPrev and htOpen >= htClose and htClose <= htOpen
htBullEngulf = htClose > htOpen and htBearPrev and htOpen <= htClose and htClose >= htOpen
// Liquidity sweep on HTF previous candle
htSweepHigh = htHigh > ta.highest(htHigh, 5)
htSweepLow = htLow < ta.lowest(htLow, 5)
// Store last HTF zones
var float htResHigh = na
var float htResLow = na
var float htSupHigh = na
var float htSupLow = na
if htBearEngulf and htSweepHigh
htResHigh := htHigh
htResLow := htLow
if htBullEngulf and htSweepLow
htSupHigh := htHigh
htSupLow := htLow
// Are we inside HTF zones?
inHtfRes = not na(htResHigh) and close <= htResHigh and close >= htResLow
inHtfSup = not na(htSupLow) and close >= htSupLow and close <= htSupHigh
// Block direction against HTF zones
longBlockedByZone = inHtfRes // no buys in HTF resistance
shortBlockedByZone = inHtfSup // no sells in HTF support
//━━━━━━━━━━━━━━━━━━━
// 4. 1m LOCAL ZONES (LIQUIDITY SWEEP + ENGULF + QUALITY SCORE)
//━━━━━━━━━━━━━━━━━━━
// 1m engulf patterns
bullPrev1 = close > open
bearPrev1 = close < open
bearEngulfNow = close < open and bullPrev1 and open >= close and close <= open
bullEngulfNow = close > open and bearPrev1 and open <= close and close >= open
// Liquidity sweep by previous candle on 1m
sweepHighPrev = high > ta.highest(high, 5)
sweepLowPrev = low < ta.lowest(low, 5)
// Local zone storage (one active support + one active resistance)
// Quality score: 1 = engulf only, 2 = engulf + sweep (we only trade ≥2)
var float supLow = na
var float supHigh = na
var int supQ = 0
var bool supUsed = false
var float resLow = na
var float resHigh = na
var int resQ = 0
var bool resUsed = false
// New resistance zone: previous bullish candle -> bear engulf
if bearEngulfNow
resLow := low
resHigh := high
resQ := sweepHighPrev ? 2 : 1
resUsed := false
// New support zone: previous bearish candle -> bull engulf
if bullEngulfNow
supLow := low
supHigh := high
supQ := sweepLowPrev ? 2 : 1
supUsed := false
// Raw "inside zone" detection
inSupRaw = not na(supLow) and close >= supLow and close <= supHigh
inResRaw = not na(resHigh) and close <= resHigh and close >= resLow
// QUALITY FILTER: only trade zones with quality ≥ 2 (engulf + sweep)
highQualitySup = supQ >= 2
highQualityRes = resQ >= 2
inSupZone = inSupRaw and highQualitySup and not supUsed
inResZone = inResRaw and highQualityRes and not resUsed
// Plot zones
plot(supLow, "Sup Low", color = color.new(color.lime, 60), style = plot.style_linebr)
plot(supHigh, "Sup High", color = color.new(color.lime, 60), style = plot.style_linebr)
plot(resLow, "Res Low", color = color.new(color.red, 60), style = plot.style_linebr)
plot(resHigh, "Res High", color = color.new(color.red, 60), style = plot.style_linebr)
//━━━━━━━━━━━━━━━━━━━
// 5. MODERATE BOS (3-BAR FRACTAL STRUCTURE)
//━━━━━━━━━━━━━━━━━━━
// 3-bar swing highs/lows
swHigh = high > high and high > high
swLow = low < low and low < low
var float lastSwingHigh = na
var float lastSwingLow = na
if swHigh
lastSwingHigh := high
if swLow
lastSwingLow := low
// BOS conditions
bosUp = not na(lastSwingHigh) and close > lastSwingHigh
bosDown = not na(lastSwingLow) and close < lastSwingLow
// Zone “arming” and BOS validation
var bool supArmed = false
var bool resArmed = false
var bool supBosOK = false
var bool resBosOK = false
// Arm zones when first touched
if inSupZone
supArmed := true
if inResZone
resArmed := true
// BOS after arming → zone becomes valid for entries
if supArmed and bosUp
supBosOK := true
if resArmed and bosDown
resBosOK := true
// Reset BOS flags when new zones are created
if bullEngulfNow
supArmed := false
supBosOK := false
if bearEngulfNow
resArmed := false
resBosOK := false
//━━━━━━━━━━━━━━━━━━━
// 6. ENTRY CONDITIONS (ZONE + BOS + RISK STATE)
//━━━━━━━━━━━━━━━━━━━
flatOrShort = strategy.position_size <= 0
flatOrLong = strategy.position_size >= 0
longSignal = canTradeToday and not longBlockedByZone and inSupZone and supBosOK and flatOrShort
shortSignal = canTradeToday and not shortBlockedByZone and inResZone and resBosOK and flatOrLong
//━━━━━━━━━━━━━━━━━━━
// 7. ORDER LOGIC – TWO PROFIT STRATEGIES
//━━━━━━━━━━━━━━━━━━━
// Common metrics
atrTrail = ta.atr(atrTrailLen)
// MINIMAL MODE: single trade, BE after TP1, optional trailing
// HYBRID MODE: two trades (Scalp @ TP1, Runner @ TP2)
// Persistent tracking
var float longEntry = na
var float longTP1 = na
var float longTP2 = na
var float longSL = na
var bool longBE = false
var float longRunEntry = na
var float longRunTP1 = na
var float longRunTP2 = na
var float longRunSL = na
var bool longRunBE = false
var float shortEntry = na
var float shortTP1 = na
var float shortTP2 = na
var float shortSL = na
var bool shortBE = false
var float shortRunEntry = na
var float shortRunTP1 = na
var float shortRunTP2 = na
var float shortRunSL = na
var bool shortRunBE = false
isMinimal = profitStrategy == "Minimal Risk | Full BE after TP1"
isHybrid = profitStrategy == "Hybrid | Scalp TP + Runner TP"
//━━━━━━━━━━ LONG ENTRIES ━━━━━━━━━━
if longSignal
if isMinimal
longEntry := close
longSL := longEntry - slPoints
longTP1 := longEntry + tp1Points
longTP2 := longEntry + slPoints * runnerRR
longBE := false
strategy.entry("Long", strategy.long)
supUsed := true
supArmed := false
supBosOK := false
else if isHybrid
longRunEntry := close
longRunSL := longRunEntry - slPoints
longRunTP1 := longRunEntry + tp1Points
longRunTP2 := longRunEntry + slPoints * runnerRR
longRunBE := false
// Two separate entries, each 50% of baseQty (for backtest)
strategy.entry("LongScalp", strategy.long, qty = baseQty * 0.5)
strategy.entry("LongRun", strategy.long, qty = baseQty * 0.5)
supUsed := true
supArmed := false
supBosOK := false
//━━━━━━━━━━ SHORT ENTRIES ━━━━━━━━━━
if shortSignal
if isMinimal
shortEntry := close
shortSL := shortEntry + slPoints
shortTP1 := shortEntry - tp1Points
shortTP2 := shortEntry - slPoints * runnerRR
shortBE := false
strategy.entry("Short", strategy.short)
resUsed := true
resArmed := false
resBosOK := false
else if isHybrid
shortRunEntry := close
shortRunSL := shortRunEntry + slPoints
shortRunTP1 := shortRunEntry - tp1Points
shortRunTP2 := shortRunEntry - slPoints * runnerRR
shortRunBE := false
strategy.entry("ShortScalp", strategy.short, qty = baseQty * 50)
strategy.entry("ShortRun", strategy.short, qty = baseQty * 50)
resUsed := true
resArmed := false
resBosOK := false
//━━━━━━━━━━━━━━━━━━━
// 8. EXIT LOGIC – MINIMAL MODE
//━━━━━━━━━━━━━━━━━━━
// LONG – Minimal Risk: 1 trade, BE after TP1, runner to TP2
if isMinimal and strategy.position_size > 0 and not na(longEntry)
// Move to BE once TP1 is touched
if not longBE and high >= longTP1
longBE := true
// Base SL: BE or initial SL
float dynLongSL = longBE ? longEntry : longSL
// Optional trailing after BE
if longBE
if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longEntry
dynLongSL := math.max(dynLongSL, lastSwingLow)
if runnerStopMode == "ATR trail"
trailSL = close - atrTrailMult * atrTrail
dynLongSL := math.max(dynLongSL, trailSL)
strategy.exit("Long Exit", "Long", stop = dynLongSL, limit = longTP2)
// SHORT – Minimal Risk: 1 trade, BE after TP1, runner to TP2
if isMinimal and strategy.position_size < 0 and not na(shortEntry)
if not shortBE and low <= shortTP1
shortBE := true
float dynShortSL = shortBE ? shortEntry : shortSL
if shortBE
if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortEntry
dynShortSL := math.min(dynShortSL, lastSwingHigh)
if runnerStopMode == "ATR trail"
trailSLs = close + atrTrailMult * atrTrail
dynShortSL := math.min(dynShortSL, trailSLs)
strategy.exit("Short Exit", "Short", stop = dynShortSL, limit = shortTP2)
//━━━━━━━━━━━━━━━━━━━
// 9. EXIT LOGIC – HYBRID MODE
//━━━━━━━━━━━━━━━━━━━
// LONG – Hybrid: Scalp + Runner
if isHybrid
// Scalp leg: full TP at TP1
if strategy.opentrades > 0
strategy.exit("LScalp TP", "LongScalp", stop = longRunSL, limit = longRunTP1)
// Runner leg
if strategy.position_size > 0 and not na(longRunEntry)
if not longRunBE and high >= longRunTP1
longRunBE := true
float dynLongRunSL = longRunBE ? longRunEntry : longRunSL
if longRunBE
if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longRunEntry
dynLongRunSL := math.max(dynLongRunSL, lastSwingLow)
if runnerStopMode == "ATR trail"
trailRunSL = close - atrTrailMult * atrTrail
dynLongRunSL := math.max(dynLongRunSL, trailRunSL)
strategy.exit("LRun TP", "LongRun", stop = dynLongRunSL, limit = longRunTP2)
// SHORT – Hybrid: Scalp + Runner
if isHybrid
if strategy.opentrades > 0
strategy.exit("SScalp TP", "ShortScalp", stop = shortRunSL, limit = shortRunTP1)
if strategy.position_size < 0 and not na(shortRunEntry)
if not shortRunBE and low <= shortRunTP1
shortRunBE := true
float dynShortRunSL = shortRunBE ? shortRunEntry : shortRunSL
if shortRunBE
if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortRunEntry
dynShortRunSL := math.min(dynShortRunSL, lastSwingHigh)
if runnerStopMode == "ATR trail"
trailRunSLs = close + atrTrailMult * atrTrail
dynShortRunSL := math.min(dynShortRunSL, trailRunSLs)
strategy.exit("SRun TP", "ShortRun", stop = dynShortRunSL, limit = shortRunTP2)
//━━━━━━━━━━━━━━━━━━━
// 10. RESET STATE WHEN FLAT
//━━━━━━━━━━━━━━━━━━━
if strategy.position_size == 0
longEntry := na
shortEntry := na
longBE := false
shortBE := false
longRunEntry := na
shortRunEntry := na
longRunBE := false
shortRunBE := false
//━━━━━━━━━━━━━━━━━━━
// 11. VISUAL ENTRY MARKERS
//━━━━━━━━━━━━━━━━━━━
plotshape(longSignal, title = "Long Signal", style = shape.triangleup,
location = location.belowbar, color = color.lime, size = size.tiny, text = "L")
plotshape(shortSignal, title = "Short Signal", style = shape.triangledown,
location = location.abovebar, color = color.red, size = size.tiny, text = "S")
TRADE ORBIT – Ichimoku Top/Bottom Strategy)TRADE ORBIT – Ichimoku Top/Bottom Strategy
Trade when trends start, continue, and end
✅ BUY TRADE (LONG)
Entry
Enter a BUY only if all of the following happen:
1️⃣ Green Big Dot appears below candle
→ Bottom confirmed (trend reversal)
2️⃣ Price above the Cloud
→ Market is in bullish zone
3️⃣ Tenkan above Kijun
→ Short-term trend supports direction
4️⃣ Chikou Span above price
→ Confirmation from momentum
📍 Best entry:
➡ On the candle after the big green dot if conditions remain valid
Stop Loss
Place SL below:
⭕ Bottom candle low
or
⭕ Senkou Span B (Cloud bottom)
Profit Management
Stay in the trade as long as you keep seeing small green dots
→ Trend still continuing 🟢🟢🟢
📌 Exit long when:
A big red dot appears (Top detected)
or
Price closes below the cloud
or
Tenkan crosses below Kijun
❌ SELL TRADE (SHORT)
Entry
Enter SELL only if:
1️⃣ Big Red Dot appears above candle
→ Top confirmed
2️⃣ Price below Cloud
→ Bearish market
3️⃣ Tenkan below Kijun
→ Trend aligned
4️⃣ Chikou Span below price
→ Momentum confirmed
📍 Enter on next bar if signals remain valid
Stop Loss
Place SL above:
⭕ Top candle high
or
⭕ Senkou Span B (Cloud upper band)
Exit
Stay in short while small red dots continue 🔴🔴🔴
Close when:
A big green bottom dot appears
or
Price closes above cloud
or
Tenkan crosses above Kijun
Opening Range ICT 3-Bar FVG + Engulfing Signals (Overlay)Beta testing
open range break out and retest of FVG.
Still working on making it accurate so bear with me
AI ALGO [Ganesh]Core Strategy Components\
1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction:
EMA 48 (longer-term trend)
EMA 2 (short-term momentum)
EMA 21 (medium-term trend)
How it works:
Bullish trend: When price is above EMA 21 (green cloud)
Bearish trend: When price is below EMA 21 (red cloud)
EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation
Optional higher timeframe (HTF) analysis for multi-timeframe confirmation
2. DEMA ATR (Double EMA + Average True Range)
This is a dynamic support/resistance indicator that adapts to volatility:Components:
DEMA (Double Exponential Moving Average): Smooths price action with less lag
ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor)
Signal Generation:
Green line: Uptrend (DEMA ATR rising)
Red line: Downtrend (DEMA ATR falling)
Acts as a trailing stop-loss level that adjusts with market volatility
3. Smart Trail System (Fibonacci-Based)
An advanced trailing stop system using modified true range calculations:Key Features:
Calculates true range using Wilder's smoothing method
Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line
Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4)
Trend Detection:
Bullish: Price > Trailing line (blue zones)
Bearish: Price < Trailing line (red zones)
The Fibonacci zones show potential support/resistance areas
4. ZigZag Indicator Identifies significant swing highs and lows:
Length parameter: 13 (sensitivity control)
Labels: Higher Highs (HH), Lower Lows (LL), etc.
Helps identify trend reversals and key pivot points
5. Support & Resistance Levels
Strength-based S/R: Identifies horizontal support/resistance zones
Zone width: Adjustable percentage-based zones
High/Low zones: Marks significant price levels
Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry:
Price crosses above DEMA ATR (green)
Price is above EMA 21 (bullish EMA cloud)
Smart Trail confirms uptrend
Price bounces from Fibonacci support levels
Short Entry:
Price crosses below DEMA ATR (red)
Price is below EMA 21 (bearish EMA cloud)
Smart Trail confirms downtrend
Price rejects from Fibonacci resistance levels
Exit/Stop-Loss Strategy
Trailing stops: Using Smart Trail Fibonacci levels
Dynamic stops: DEMA ATR line acts as a moving stop-loss
Risk management: Position sizing at 50% of equity per trade
Dashboard Features1. Weekly Performance Table
Tracks trades per day of the week
Shows win/loss statistics
Calculates win rate percentage
2. Monthly Performance Table
Monthly P&L breakdown
Yearly performance summary
Color-coded returns (green = profit, red = loss)
Strategy Parameters
Initial Capital: $5,000
Commission: 0.02% per trade
Position Size: 50% of equity
Pyramiding: Disabled (no adding to positions)
Calculation: On bar close (not tick-by-tick)
Visual Elements
EMA clouds: Green (bullish) / Red (bearish)
DEMA ATR line: Dynamic support/resistance
Smart Trail zones: Fibonacci-based colored bands
ZigZag lines: Swing high/low connections
S/R zones: Horizontal support/resistance areas
Strategy Philosophy
This is a trend-following strategy with dynamic risk management that:
Uses multiple timeframes for confirmation
Adapts to volatility through ATR-based indicators
Provides clear visual cues for trend direction
Includes comprehensive performance tracking
Combines momentum (EMAs) with volatility (ATR) for robust signals
The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
EMA750 & VWAP Cross IndicatorA trend-following indicator that identifies high-probability entry signals based on EMA750 and VWAP crossovers.
How it works:
Monitors price position relative to EMA750 (trend filter)
Generates LONG signals when price crosses above VWAP while above EMA750
Generates SHORT signals when price crosses below VWAP while below EMA750
Highlights the FIRST signal after each EMA cross (yellow markers)
Automatically calculates targets based on recent swing highs/lows
Stop loss set at EMA750 level
Features:
✓ Visual target and stop loss levels
✓ Customizable alerts for first and all signals
✓ Real-time status dashboard
✓ Swing point detection for target calculation
✓ Signal tracking until opposite VWAP cross
Best for: Swing trading and trend-following strategies on higher timeframes.
Trade Setup A+ [v.8 Fixed Lines]🚀 Trade Setup A+ : Liquidity Hunter System (XAUUSD)
This indicator is an "All-in-One" trading system designed specifically for XAUUSD (Gold) Scalping and Swing trading. It combines Smart Money Concepts (SMC) with Price Action to identify high-probability setups by tracking liquidity pools and institutional order blocks.
💎 Key Features (v.8 Updated):
Auto Order Blocks (Clean View):
Automatically detects and draws Bullish (Green) and Bearish (Red) Order Blocks based on swing points.
Clean Look: Limits display to the last 5 active zones to keep the chart clutter-free.
Liquidity Levels (Fixed Lines):
D-High / D-Low: Thin lines representing Previous Day’s High & Low.
W-High / W-Low: Thick lines representing Previous Week’s High & Low (Strong Support/Resistance).
Dual Entry Signals:
Method 1 (Sniper): Shows a Diamond Icon (💎) when price touches an Order Block zone (Reversal setup).
Method 2 (Follow): Shows a Triangle Arrow (🔼/🔽) when price crosses EMA 14 with trend confirmation from EMA 49.
Macro Time Zones:
Highlights high-volume trading sessions (Asia, London, NY) on the background to identify "Killzones".
📈 How to Trade:
BUY Signal: Look for a Green Diamond (Touch OB) or Green Triangle (Price > EMA 14 & 49).
SELL Signal: Look for a Red Diamond (Touch OB) or Orange Triangle (Price < EMA 14).
Best Time: Trade when signals align with highlighted Macro Time zones.
⚠️ Disclaimer: This tool is for educational purposes only. Always use proper risk management.
🚀 Trade Setup A+ : ระบบเทรดล่าสภาพคล่อง (สำหรับทองคำ)
อินดิเคเตอร์ชุดนี้ออกแบบมาเพื่อเทรด XAUUSD (ทองคำ) โดยเฉพาะ ผสมผสานเทคนิค SMC (Smart Money Concepts) และ Price Action เพื่อหาจุดเข้าที่มีความแม่นยำสูง (High Probability) โดยเน้นการดักจับสภาพคล่องของรายใหญ่ค่ะ
💎 ฟีเจอร์หลัก (อัปเดตล่าสุด v.8):
Auto Order Blocks (แบบคลีน):
สร้างกล่องโซนซื้อขาย (Supply/Demand) ให้อัตโนมัติ (สีเขียว = โซน Buy, สีแดง = โซน Sell)
Clean Look: ระบบจะโชว์เฉพาะ 5 กล่องล่าสุดเท่านั้น เพื่อไม่ให้กราฟรกสายตา
Liquidity Levels (เส้นแนวรับต้าน):
D-High / D-Low: เส้นบาง แสดงราคาสูงสุด/ต่ำสุดของ "เมื่อวาน" (Day)
W-High / W-Low: เส้นหนา แสดงราคาสูงสุด/ต่ำสุดของ "สัปดาห์ที่แล้ว" (Week) ซึ่งเป็นแนวรับต้านที่แข็งแกร่ง
สัญญาณเข้าเทรด 2 แบบ (Dual Signals):
วิธีที่ 1 (Sniper): แสดงรูป เพชร (💎) เมื่อราคาวิ่งชนขอบกล่อง Order Block (ดักจุดกลับตัวปลายไส้)
วิธีที่ 2 (Follow Trend): แสดงรูป ลูกศรสามเหลี่ยม (🔼/🔽) เมื่อราคาตัดเส้น EMA ตามเงื่อนไข (Buy ต้องยืนเหนือ EMA 14 และ 49)
Macro Time (ช่วงเวลาทำเงิน):
ระบายสีพื้นหลังบอกช่วงเวลาที่ตลาดวิ่งแรง (Asia, London, NY) เพื่อให้โฟกัสถูกจุด
📈 วิธีใช้งาน:
ขา BUY: รอสัญญาณ เพชรสีเขียว (ชนกล่องรับ) หรือ ลูกศรเขียว (ตามเทรนด์)
ขา SELL: รอสัญญาณ เพชรสีแดง (ชนกล่องต้าน) หรือ ลูกศรส้ม (ตามเทรนด์)
คำแนะนำ: ประสิทธิภาพสูงสุดเมื่อสัญญาณเกิดในช่วงเวลา Macro Time (แถบสีพื้นหลัง)
Regime Filter [BigBeluga] Modified by Claude to move tableThis is a copy of Regime Filter that has been modified by Anthropic's Claude to move the overlay table to different positions.
