Yelober - Intraday ETF Dashboard# How to Read the Yelober Intraday ETF Dashboard
The Intraday ETF Dashboard provides a powerful at-a-glance view of sector performance and trading opportunities. Here's how to interpret and use the information:
## Basic Dashboard Reading
### Color-Coding System
- **Green values**: Positive performance or bullish signals
- **Red values**: Negative performance or bearish signals
- **Symbol colors**: Green = buy signal, Red = sell signal, Gray = neutral
### Example 1: Identifying Strong Sectors
If you see XLF (Financials) with:
- Day % showing +2.65% (green background)
- Symbol in green color
- RSI of 58 (not overbought)
**Interpretation**: Financial sector is showing strength and momentum without being overextended. Consider long positions in top financial stocks like JPM or BAC.
### Example 2: Spotting Weakness
If you see XLK (Technology) with:
- Day % showing -1.20% (red background)
- Week % showing -3.50% (red background)
- Symbol in red color
- RSI of 35 (approaching oversold)
**Interpretation**: Technology sector is showing weakness across multiple timeframes. Consider avoiding tech stocks or taking short positions in names like MSFT or AAPL, but be cautious as the low RSI suggests a bounce may be coming.
## Advanced Interpretations
### Example 3: Sector Rotation Detection
If you observe:
- XLE (Energy) showing +2.10% while XLK (Technology) showing -1.50%
- Both sectors' Week % values showing the opposite trend
**Interpretation**: This suggests money is rotating out of technology into energy stocks. This rotation pattern is actionable - consider reducing tech exposure and increasing energy positions (look at XOM, CVX in the Top Stocks column).
### Example 4: RSI Divergences
If you see XLU (Utilities) with:
- Day % showing +0.50% (small positive)
- RSI showing 72 (overbought, red background)
**Interpretation**: Despite positive performance, the high RSI suggests the sector is overextended. This divergence between price and indicator suggests caution - the rally in utilities may be running out of steam.
### Example 5: Relative Strength in Weak Markets
If SPY shows -1.20% but XLP (Consumer Staples) shows +0.30%:
**Interpretation**: Consumer staples are showing defensive strength during market weakness. This is typical risk-off behavior. Consider defensive positions in stocks like PG, KO, or PEP for protection.
## Practical Application Scenarios
### Day Trading Setup
1. **Morning Market Assessment**:
- Check which sectors are green pre-market
- Focus on sectors with Day % > 1% and RSI between 40-70
- Identify 2-3 stocks from the Top Stocks column of the strongest sector
2. **Midday Reversal Hunting**:
- Look for sectors with symbol color changing from red to green
- Confirm with RSI moving away from extremes
- Trade stocks from that sector showing similar pattern changes
### Swing Trading Application
1. **Trend Following**:
- Identify sectors with positive Day % and Week %
- Look for RSI values in uptrend but not overbought (45-65)
- Enter positions in top stocks from these sectors, using daily charts for confirmation
2. **Contrarian Setups**:
- Find sectors with deeply negative Day % but RSI < 30
- Look for divergence (price making new lows but RSI rising)
- Consider counter-trend positions in the stronger stocks within these oversold sectors
## Reading Special Conditions
### Example 6: Risk-Off Environment
If you observe:
- XLP (Consumer Staples) and XLU (Utilities) both green
- XLK (Technology) and XLY (Consumer Disc) both red
- SPY slightly negative
**Interpretation**: Classic risk-off rotation. Investors are moving to safety. Consider defensive positioning and reducing exposure to growth sectors.
### Example 7: Market Breadth Analysis
Count the number of sectors in green vs. red:
- If 7+ sectors are green: Strong bullish breadth, consider aggressive long positioning
- If 7+ sectors are red: Weak market breadth, consider defensive positioning or shorts
- If evenly split: Market is indecisive, focus on specific sector strength instead of broad market exposure
Remember that this dashboard is most effective when combined with broader market analysis and appropriate risk management strategies.
Cari dalam skrip untuk "swing trading"
VWAP Multi-Timeframe VWAP Multi-Timeframe - Complete Professional Indicator
🚀 WHAT IS IT?
The VWAP Multi-Timeframe is an advanced indicator that combines 5 different VWAP periods in a single tool, providing a complete view of market fair value levels across multiple time scales.
⭐ KEY FEATURES
📊 5 Configurable VWAPs:
🟡 Daily VWAP - Ideal for day trading and intraday operations
🟠 Weekly VWAP - Perfect for swing trading
🔵 Monthly VWAP - Excellent for medium-term analysis
🔴 Quarterly VWAP - Essential for quarterly strategies
🟢 Yearly VWAP - Fundamental for long-term investments
🎯 Multiple Price Sources:
Choose the source that best fits your strategy:
Close - Closing price (most common)
OHLC4 - Complete average (smoother)
HLC3 - Typical price (default)
HL2 - Period midpoint
Open/High/Low - Specific prices
💡 HOW TO USE
For Day Traders:
Use Daily VWAP as main fair value reference
Prices above = buying pressure / Prices below = selling pressure
For Swing Traders:
Combine Weekly and Monthly VWAP to identify trends
Look for confluences between different timeframes
For Investors:
Quarterly and Yearly VWAP show long-term value levels
Excellent for identifying entry points in investments
🔧 TECHNICAL FEATURES
✅ Pine Script v6 - Latest and optimized version
✅ Clean Interface - User-friendly design
Market Sessions Indicator by NomadTradesCustomisable Market session indicator
This indicator visually marks the high and low price levels for the Asia, London, and New York trading sessions directly on the chart, using distinct horizontal lines and color-coding for each session. Each session’s high and low are labelled for easy identification, allowing traders to quickly assess key support and resistance levels established during major global market hours. The indicator is designed for clear session demarcation, helping users identify price reactions at these significant levels and supporting multi-session analysis for intraday and swing trading strategies
Faster Heikin AshiFaster Heikin Ashi
The Faster Heikin Ashi improves traditional Heikin Ashi candles by introducing advanced weighting mechanisms and lag reduction techniques. While maintaining the price smoothing benefits of standard Heikin Ashi, this enhanced version delivers faster signals and responsiveness.
Key Features
Unified Responsiveness Control
Single parameter (0.1 - 1.0) controls all responsiveness aspects
Eliminates conflicting settings found in other enhanced HA indicators
Intuitive scaling from conservative (0.1) to highly responsive (1.0)
Advanced Weighted Calculations
Smart Close Weighting: Close prices receive 2-3x more influence for faster trend detection
Dynamic OHLC Processing: All price components are intelligently weighted based on responsiveness setting
Balanced High/Low Emphasis: Maintains price level accuracy while improving speed
Enhanced Open Calculation
Transition Speed: Open prices "catch up" to market movements faster
Lag Reduction Algorithm: Eliminates the typical delay in Heikin Ashi open calculations
Smooth Integration: Maintains visual continuity while improving responsiveness
Four-Color Scheme
- 🟢 **Lime**: Strong bullish momentum
- 🔴 **Red**: Strong bearish momentum
- 🟢 **Green**: Moderate bullish
- 🔴 **Maroon**: Moderate bearish
How It Works
Traditional Heikin Ashi smooths price action but often lags behind real market movements. This enhanced version:
1. Weights price components based on their predictive value
2. Accelerates trend transitions through advanced open calculations
3. Scales all enhancements through a single responsiveness parameter
4. Maintains smoothing benefits while reducing lag
Responsiveness (0.1 - 1.0)
0.1 - 0.3: Conservative, maximum smoothing
0.4 - 0.6: Balanced, good for swing trading and trend following
0.7 - 1.0: Aggressive, fast signals, suitable for scalping and active trading
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities.
Theoretical Foundation
Momentum Factor Research
The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)².
The momentum calculation methodology follows the academic standard:
Momentum(t) = / P(t-n) × 100
Where P(t) is the current price and n is the lookback period.
The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator.
Indicator Architecture
Core Components
1. Data Collection and Processing
The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods).
2. Composite Oscillator Calculation
Following Fama-French factor construction methodology, the indicator offers two weighting schemes:
- Equal Weight: Each active stock receives identical weighting (1/n)
- Market Cap Weight: Reserved for future enhancement
3. Oscillator Transformation Functions
The indicator provides five distinct oscillator types, each with established technical analysis foundations:
a) Momentum Oscillator (Default)
- Pure rate-of-change calculation
- Centered around zero
- Direct implementation of Jegadeesh & Titman methodology
b) RSI (Relative Strength Index)
- Wilder's (1978) relative strength methodology
- Transformed to center around zero for consistency
- Scale: -50 to +50
c) Stochastic Oscillator
- George Lane's %K methodology
- Measures current position within recent range
- Transformed to center around zero
d) Williams %R
- Larry Williams' range-based oscillator
- Inverse stochastic calculation
- Adjusted for zero-centered display
e) CCI (Commodity Channel Index)
- Donald Lambert's mean reversion indicator
- Measures deviation from moving average
- Scaled for optimal visualization
Operational Modes
Mode 1: Magnificent 7 Analysis
Tracks the collective momentum of the seven constituent stocks. This mode is optimal for:
- Technology sector analysis
- Growth stock momentum assessment
- Large-cap performance tracking
Mode 2: S&P 500 Equal Weight Comparison
Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides:
- Broader market momentum context
- Size-neutral market analysis
- Comparison baseline for relative performance
Mode 3: Relative Performance Analysis
Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables:
- Sector rotation analysis
- Style factor assessment (Growth vs. Value)
- Relative strength identification
Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum
Signal Generation and Thresholds
Signal Classification
The indicator generates three signal states:
- Bullish: Oscillator > Upper Threshold (default: +2.0%)
- Bearish: Oscillator < Lower Threshold (default: -2.0%)
- Neutral: Oscillator between thresholds
Relative Performance Signals
In relative performance mode, specialized thresholds apply:
- Outperformance: Relative momentum > +1.0%
- Underperformance: Relative momentum < -1.0%
Alert System
Comprehensive alert conditions include:
- Threshold crossovers (bullish/bearish signals)
- Zero-line crosses (momentum direction changes)
- Relative performance shifts
- Breadth Analysis Component
The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into:
- Strong Breadth (>60%): Broad-based momentum
- Weak Breadth (<40%): Narrow momentum leadership
- Mixed Breadth (40-60%): Neutral momentum distribution
Visual Design and User Interface
Theme-Adaptive Display
The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences.
Professional Data Table
A comprehensive data table displays:
- Current oscillator value and percentage
- Active mode and oscillator type
- Signal status and strength
- Component breakdowns (in relative performance mode)
- Breadth percentage
- Active threshold levels
Custom Color Options
Users can override default colors with custom selections for:
- Neutral conditions (default: Material Blue)
- Bullish signals (default: Material Green)
- Bearish signals (default: Material Red)
Practical Applications
Portfolio Management
- Sector Allocation: Use relative performance mode to time technology sector exposure
- Risk Management: Monitor breadth deterioration as early warning signal
- Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions
Market Analysis
- Trend Identification: Zero-line crosses indicate momentum regime changes
- Divergence Analysis: Compare MAG7 performance against broader market
- Volatility Assessment: Oscillator range and frequency provide volatility insights
Strategy Development
- Factor Timing: Implement growth factor timing strategies
- Momentum Strategies: Develop systematic momentum-based approaches
- Risk Parity: Use breadth metrics for risk-adjusted portfolio construction
Configuration Guidelines
Parameter Selection
- Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment
- Smoothing Period (1-50): Higher values reduce noise but increase lag
- Thresholds: Adjust based on historical volatility and strategy requirements
Timeframe Considerations
- Daily Charts: Optimal for swing trading and medium-term analysis
- Weekly Charts: Suitable for long-term trend analysis
- Intraday Charts: Useful for short-term tactical decisions
Limitations and Considerations
Market Concentration Risk
The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions.
Momentum Persistence
While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years).
Correlation Dynamics
During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity.
Performance Metrics and Backtesting
The indicator includes hidden plots for comprehensive backtesting:
- Individual stock momentum values
- Composite breadth percentage
- S&P 500 Equal Weight momentum
- Relative performance calculations
These metrics enable quantitative strategy development and historical performance analysis.
References
¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91.
Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82.
Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22.
Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
BackToBasic XEMAบทความอธิบายสคริปต์ “BackToBasic XEMA”
ภาษาไทย
แนวคิดโดยย่อ
BackToBasic XEMA เกิดจากแนวคิด “กลับสู่พื้นฐานแต่เพิ่มประโยชน์” โดยใช้สัญญาณ EMA Crossover เป็นแกนหลัก แล้วต่อยอดด้วยการแสดงกำไร/ขาดทุนจริง (PnL) และเส้น Trailing Stop แนวนอน เพื่อช่วยวัดประสิทธิภาพและป้องกันการคืนกำไร
กลไกการทำงาน
Dual EMA – คำนวณ EMA สองเส้น (Fast และ Slow)
Crossover Signal – ออกสัญญาณ Buy เมื่อ Fast ตัดขึ้น Slow และ Sell เมื่อ Fast ตัดลง Slow
PnL Lines & Labels – เมื่อทิศทางกลับตัว ระบบจะคำนวณส่วนต่างราคา × จำนวน Contracts แล้ววาดเส้นเชื่อมจุดเข้า–ออก พร้อมป้ายกำไร/ขาดทุนสีเขียว / แดง
Horizontal Trailing Stop – เมื่อราคาวิ่งไปทางกำไรเกิน trailStartPips ระบบจะสร้างเส้น Trail ห่างจาก EMA อ้างอิงด้วย trailBufferPips และเลื่อนเฉพาะในทางที่ล็อกกำไร
การตั้งค่าใช้งาน (สรุปเป็นคำอธิบาย)
ปรับค่า Fast/Slow EMA ให้สัมพันธ์กับกรอบเวลาและความผันผวนของสินทรัพย์
กรอกจำนวน Contracts ตามขนาดโพซิชันจริงเพื่อให้ค่า PnL สมจริง
ค่า Trail เริ่มต้นเหมาะกับกราฟ 1 ชั่วโมงขึ้นไป หากเทรดสั้นอาจลด trailStartPips และ trailBufferPips
แนะนำใช้กับสินทรัพย์สภาพคล่องสูง (คู่เงินหลัก, XAUUSD, ดัชนี) และทดสอบบนบัญชีเดโมก่อนเสมอ
จุดเด่นเมื่อเทียบกับ EMA Crossover พื้นฐาน
เห็นผลกำไร/ขาดทุนของแต่ละการเทรดทันที ไม่ต้องคำนวณย้อนหลัง
มีเส้น Trailing Stop แนวนอนช่วยล็อกกำไรและจำกัดขาดทุน
เปิด–ปิดฟังก์ชัน PnL และ Trailing ได้จากหน้าตั้งค่า ไม่ยุ่งยาก
ข้อจำกัดและคำเตือน
ไม่เหมาะกับกราฟแบบ Heikin Ashi หรือ Renko เพราะอาจเกิด repaint
PnL คำนวณจากส่วนต่างราคาเท่านั้น ไม่รวมค่าคอมมิชชันหรือสลิปเพจ
ผลลัพธ์ในอดีตไม่รับประกันอนาคต ควรจัดการความเสี่ยงและทดลองก่อนใช้งานจริง
ลิขสิทธิ์
สคริปต์นี้พัฒนาใหม่ทั้งหมดโดย , © 2025
English
Concept
BackToBasic XEMA extends a classic EMA-crossover setup with real-time profit-and-loss tracking and a horizontal trailing-stop line, giving traders both clear entry/exit signals and built-in risk management.
How It Works
Dual EMAs – Calculates Fast and Slow EMAs.
Crossover Signals – Generates a Buy when the Fast EMA crosses above the Slow EMA, and a Sell when it crosses below.
PnL Lines & Labels – On every direction flip the script computes price difference × contracts, draws a line from entry to exit, and labels the result in green (profit) or red (loss).
Horizontal Trailing Stop – After price moves in profit by at least trailStartPips, a trail line is placed trailBufferPips away from the chosen EMA and moves only in the trade’s favour.
Practical Settings (plain-language guide)
Adjust Fast/Slow EMA lengths to suit your timeframe and the instrument’s volatility.
Enter your position size in Contracts so PnL lines reflect real cash values.
For shorter timeframes, lower trailStartPips and trailBufferPips; for swing trading, larger values work better.
Best used on 1-hour-and-above charts of liquid symbols (major FX pairs, gold, indices). Forward-test on demo first.
Advantages over a Basic EMA Cross
Instant visual feedback on each trade’s profit or loss.
Built-in horizontal trailing stop to lock in gains and limit downside.
Modular design – PnL and trailing features can be toggled on or off in the input panel.
Limitations & Disclaimer
Not repaint-safe on non-standard chart types such as Heikin Ashi or Renko.
PnL lines show raw price change only; commissions and slippage are not included.
Past performance does not guarantee future results – trade responsibly and test thoroughly.
License
Original Pine Script by , © 2025
Anomalous Holonomy Field Theory🌌 Anomalous Holonomy Field Theory (AHFT) - Revolutionary Quantum Market Analysis
Where Theoretical Physics Meets Trading Reality
A Groundbreaking Synthesis of Differential Geometry, Quantum Field Theory, and Market Dynamics
🔬 THEORETICAL FOUNDATION - THE MATHEMATICS OF MARKET REALITY
The Anomalous Holonomy Field Theory represents an unprecedented fusion of advanced mathematical physics with practical market analysis. This isn't merely another indicator repackaging old concepts - it's a fundamentally new lens through which to view and understand market structure .
1. HOLONOMY GROUPS (Differential Geometry)
In differential geometry, holonomy measures how vectors change when parallel transported around closed loops in curved space. Applied to markets:
Mathematical Formula:
H = P exp(∮_C A_μ dx^μ)
Where:
P = Path ordering operator
A_μ = Market connection (price-volume gauge field)
C = Closed price path
Market Implementation:
The holonomy calculation measures how price "remembers" its journey through market space. When price returns to a previous level, the holonomy captures what has changed in the market's internal geometry. This reveals:
Hidden curvature in the market manifold
Topological obstructions to arbitrage
Geometric phase accumulated during price cycles
2. ANOMALY DETECTION (Quantum Field Theory)
Drawing from the Adler-Bell-Jackiw anomaly in quantum field theory:
Mathematical Formula:
∂_μ j^μ = (e²/16π²)F_μν F̃^μν
Where:
j^μ = Market current (order flow)
F_μν = Field strength tensor (volatility structure)
F̃^μν = Dual field strength
Market Application:
Anomalies represent symmetry breaking in market structure - moments when normal patterns fail and extraordinary opportunities arise. The system detects:
Spontaneous symmetry breaking (trend reversals)
Vacuum fluctuations (volatility clusters)
Non-perturbative effects (market crashes/melt-ups)
3. GAUGE THEORY (Theoretical Physics)
Markets exhibit gauge invariance - the fundamental physics remains unchanged under certain transformations:
Mathematical Formula:
A'_μ = A_μ + ∂_μΛ
This ensures our signals are gauge-invariant observables , immune to arbitrary market "coordinate changes" like gaps or reference point shifts.
4. TOPOLOGICAL DATA ANALYSIS
Using persistent homology and Morse theory:
Mathematical Formula:
β_k = dim(H_k(X))
Where β_k are the Betti numbers describing topological features that persist across scales.
🎯 REVOLUTIONARY SIGNAL CONFIGURATION
Signal Sensitivity (0.5-12.0, default 2.5)
Controls the responsiveness of holonomy field calculations to market conditions. This parameter directly affects the threshold for detecting quantum phase transitions in price action.
Optimization by Timeframe:
Scalping (1-5min): 1.5-3.0 for rapid signal generation
Day Trading (15min-1H): 2.5-5.0 for balanced sensitivity
Swing Trading (4H-1D): 5.0-8.0 for high-quality signals only
Score Amplifier (10-200, default 50)
Scales the raw holonomy field strength to produce meaningful signal values. Higher values amplify weak signals in low-volatility environments.
Signal Confirmation Toggle
When enabled, enforces additional technical filters (EMA and RSI alignment) to reduce false positives. Essential for conservative strategies.
Minimum Bars Between Signals (1-20, default 5)
Prevents overtrading by enforcing quantum decoherence time between signals. Higher values reduce whipsaws in choppy markets.
👑 ELITE EXECUTION SYSTEM
Execution Modes:
Conservative Mode:
Stricter signal criteria
Higher quality thresholds
Ideal for stable market conditions
Adaptive Mode:
Self-adjusting parameters
Balances signal frequency with quality
Recommended for most traders
Aggressive Mode:
Maximum signal sensitivity
Captures rapid market moves
Best for experienced traders in volatile conditions
Dynamic Position Sizing:
When enabled, the system scales position size based on:
Holonomy field strength
Current volatility regime
Recent performance metrics
Advanced Exit Management:
Implements trailing stops based on ATR and signal strength, with mode-specific multipliers for optimal profit capture.
🧠 ADAPTIVE INTELLIGENCE ENGINE
Self-Learning System:
The strategy analyzes recent trade outcomes and adjusts:
Risk multipliers based on win/loss ratios
Signal weights according to performance
Market regime detection for environmental adaptation
Learning Speed (0.05-0.3):
Controls adaptation rate. Higher values = faster learning but potentially unstable. Lower values = stable but slower adaptation.
Performance Window (20-100 trades):
Number of recent trades analyzed for adaptation. Longer windows provide stability, shorter windows increase responsiveness.
🎨 REVOLUTIONARY VISUAL SYSTEM
1. Holonomy Field Visualization
What it shows: Multi-layer quantum field bands representing market resonance zones
How to interpret:
Blue/Purple bands = Primary holonomy field (strongest resonance)
Band width = Field strength and volatility
Price within bands = Normal quantum state
Price breaking bands = Quantum phase transition
Trading application: Trade reversals at band extremes, breakouts on band violations with strong signals.
2. Quantum Portals
What they show: Entry signals with recursive depth patterns indicating momentum strength
How to interpret:
Upward triangles with portals = Long entry signals
Downward triangles with portals = Short entry signals
Portal depth = Signal strength and expected momentum
Color intensity = Probability of success
Trading application: Enter on portal appearance, with size proportional to portal depth.
3. Field Resonance Bands
What they show: Fibonacci-based harmonic price zones where quantum resonance occurs
How to interpret:
Dotted circles = Minor resonance levels
Solid circles = Major resonance levels
Color coding = Resonance strength
Trading application: Use as dynamic support/resistance, expect reactions at resonance zones.
4. Anomaly Detection Grid
What it shows: Fractal-based support/resistance with anomaly strength calculations
How to interpret:
Triple-layer lines = Major fractal levels with high anomaly probability
Labels show: Period (H8-H55), Price, and Anomaly strength (φ)
⚡ symbol = Extreme anomaly detected
● symbol = Strong anomaly
○ symbol = Normal conditions
Trading application: Expect major moves when price approaches high anomaly levels. Use for precise entry/exit timing.
5. Phase Space Flow
What it shows: Background heatmap revealing market topology and energy
How to interpret:
Dark background = Low market energy, range-bound
Purple glow = Building energy, trend developing
Bright intensity = High energy, strong directional move
Trading application: Trade aggressively in bright phases, reduce activity in dark phases.
📊 PROFESSIONAL DASHBOARD METRICS
Holonomy Field Strength (-100 to +100)
What it measures: The Wilson loop integral around price paths
>70: Strong positive curvature (bullish vortex)
<-70: Strong negative curvature (bearish collapse)
Near 0: Flat connection (range-bound)
Anomaly Level (0-100%)
What it measures: Quantum vacuum expectation deviation
>70%: Major anomaly (phase transition imminent)
30-70%: Moderate anomaly (elevated volatility)
<30%: Normal quantum fluctuations
Quantum State (-1, 0, +1)
What it measures: Market wave function collapse
+1: Bullish eigenstate |↑⟩
0: Superposition (uncertain)
-1: Bearish eigenstate |↓⟩
Signal Quality Ratings
LEGENDARY: All quantum fields aligned, maximum probability
EXCEPTIONAL: Strong holonomy with anomaly confirmation
STRONG: Good field strength, moderate anomaly
MODERATE: Decent signals, some uncertainty
WEAK: Minimal edge, high quantum noise
Performance Metrics
Win Rate: Rolling performance with emoji indicators
Daily P&L: Real-time profit tracking
Adaptive Risk: Current risk multiplier status
Market Regime: Bull/Bear classification
🏆 WHY THIS CHANGES EVERYTHING
Traditional technical analysis operates on 100-year-old principles - moving averages, support/resistance, and pattern recognition. These work because many traders use them, creating self-fulfilling prophecies.
AHFT transcends this limitation by analyzing markets through the lens of fundamental physics:
Markets have geometry - The holonomy calculations reveal this hidden structure
Price has memory - The geometric phase captures path-dependent effects
Anomalies are predictable - Quantum field theory identifies symmetry breaking
Everything is connected - Gauge theory unifies disparate market phenomena
This isn't just a new indicator - it's a new way of thinking about markets . Just as Einstein's relativity revolutionized physics beyond Newton's mechanics, AHFT revolutionizes technical analysis beyond traditional methods.
🔧 OPTIMAL SETTINGS FOR MNQ 10-MINUTE
For the Micro E-mini Nasdaq-100 on 10-minute timeframe:
Signal Sensitivity: 2.5-3.5
Score Amplifier: 50-70
Execution Mode: Adaptive
Min Bars Between: 3-5
Theme: Quantum Nebula or Dark Matter
💭 THE JOURNEY - FROM IMPOSSIBLE THEORY TO TRADING REALITY
Creating AHFT was a mathematical odyssey that pushed the boundaries of what's possible in Pine Script. The journey began with a seemingly impossible question: Could the profound mathematical structures of theoretical physics be translated into practical trading tools?
The Theoretical Challenge:
Months were spent diving deep into differential geometry textbooks, studying the works of Chern, Simons, and Witten. The mathematics of holonomy groups and gauge theory had never been applied to financial markets. Translating abstract mathematical concepts like parallel transport and fiber bundles into discrete price calculations required novel approaches and countless failed attempts.
The Computational Nightmare:
Pine Script wasn't designed for quantum field theory calculations. Implementing the Wilson loop integral, managing complex array structures for anomaly detection, and maintaining computational efficiency while calculating geometric phases pushed the language to its limits. There were moments when the entire project seemed impossible - the script would timeout, produce nonsensical results, or simply refuse to compile.
The Breakthrough Moments:
After countless sleepless nights and thousands of lines of code, breakthrough came through elegant simplifications. The realization that market anomalies follow patterns similar to quantum vacuum fluctuations led to the revolutionary anomaly detection system. The discovery that price paths exhibit holonomic memory unlocked the geometric phase calculations.
The Visual Revolution:
Creating visualizations that could represent 4-dimensional quantum fields on a 2D chart required innovative approaches. The multi-layer holonomy field, recursive quantum portals, and phase space flow representations went through dozens of iterations before achieving the perfect balance of beauty and functionality.
The Balancing Act:
Perhaps the greatest challenge was maintaining mathematical rigor while ensuring practical trading utility. Every formula had to be both theoretically sound and computationally efficient. Every visual had to be both aesthetically pleasing and information-rich.
The result is more than a strategy - it's a synthesis of pure mathematics and market reality that reveals the hidden order within apparent chaos.
📚 INTEGRATED DOCUMENTATION
Once applied to your chart, AHFT includes comprehensive tooltips on every input parameter. The source code contains detailed explanations of the mathematical theory, practical applications, and optimization guidelines. This published description provides the overview - the indicator itself is a complete educational resource.
⚠️ RISK DISCLAIMER
While AHFT employs advanced mathematical models derived from theoretical physics, markets remain inherently unpredictable. No mathematical model, regardless of sophistication, can guarantee future results. This strategy uses realistic commission ($0.62 per contract) and slippage (1 tick) in all calculations. Past performance does not guarantee future results. Always use appropriate risk management and never risk more than you can afford to lose.
🌟 CONCLUSION
The Anomalous Holonomy Field Theory represents a quantum leap in technical analysis - literally. By applying the profound insights of differential geometry, quantum field theory, and gauge theory to market analysis, AHFT reveals structure and opportunities invisible to traditional methods.
From the holonomy calculations that capture market memory to the anomaly detection that identifies phase transitions, from the adaptive intelligence that learns and evolves to the stunning visualizations that make the invisible visible, every component works in mathematical harmony.
This is more than a trading strategy. It's a new lens through which to view market reality.
Trade with the precision of physics. Trade with the power of mathematics. Trade with AHFT.
I hope this serves as a good replacement for Quantum Edge Pro - Adaptive AI until I'm able to fix it.
— Dskyz, Trade with insight. Trade with anticipation.
Momentum Flip Pro - Advanced ZigZag Trading SystemMomentum Flip Pro - Advanced ZigZag Trading System
Complete User Guide
📊 What This Indicator Does
The Momentum Flip Pro is an advanced position-flipping trading system that automatically identifies trend reversals using ZigZag patterns combined with momentum analysis. It's designed for traders who want to always be in the market, flipping between long and short positions at optimal reversal points.
Key Features:
Automatically flips positions at each ZigZag reversal point
Dynamic stop loss placement at exact ZigZag levels
Real-time trading dashboard with performance metrics
Capital tracking and ROI calculation
Three momentum engines to choose from
🎯 How It Works
Entry Signal: When a ZigZag point appears (circle on chart), the indicator:
Exits current position (if any)
Immediately enters opposite position
Places stop loss at the exact ZigZag price
Exit Signal: Positions are closed when the next ZigZag appears, then immediately reversed
Position Management:
Long Entry: ZigZag bottom (momentum turns UP)
Short Entry: ZigZag peak (momentum turns DOWN)
Stop Loss: Always at the ZigZag entry price
Take Profit: Next ZigZag point (automatic position flip)
⚙️ Recommended Settings
For Day Trading (5m-15m timeframes):
Momentum Engine: Quantum
- RSI Length: 9-12
- Quantum Factor: 3.5-4.0
- RSI Smoothing: 3-5
- Threshold: 8-10
For Swing Trading (1H-4H timeframes):
Momentum Engine: MACD
- Fast Length: 12
- Slow Length: 26
- Signal Smoothing: 9
- MA Type: EMA
For Position Trading (Daily):
Momentum Engine: Moving Average
- Average Type: EMA or HMA
- Length: 20-50
📈 How to Use for Trading
Add to Chart:
Add indicator to your chart
Set your starting capital
Choose your preferred momentum engine
Understanding Signals:
Green circles: Strong bullish momentum reversal
Red circles: Strong bearish momentum reversal
Purple circles: Normal momentum reversal
Entry labels: Show exact entry points with tooltips
Trading Rules:
Enter LONG when you see an up arrow + green/purple circle
Enter SHORT when you see a down arrow + red/purple circle
Stop loss is automatically at the ZigZag level
Hold until next ZigZag appears (exit + reverse)
Risk Management:
Risk per trade = Entry Price - Stop Loss
Position size = (Capital * Risk %) / Risk per trade
Recommended risk: 1-2% per trade
💡 Best Practices
Market Conditions:
Works best in trending markets
Excellent for volatile pairs (crypto, forex majors)
Avoid during low volume/consolidation
Timeframe Selection:
Lower timeframes (5m-15m): More signals, higher noise
Higher timeframes (1H+): Fewer signals, higher reliability
Sweet spot: 15m-1H for most traders
Momentum Engine Selection:
Quantum: Best for volatile markets (crypto, indices)
MACD: Best for trending markets (forex, stocks)
Moving Average: Best for smooth trends (commodities)
📊 Dashboard Interpretation
The trading dashboard shows:
Current Capital: Your running balance
Position: Current trade direction
Entry/Stop: Your risk levels
Statistics: Win rate and performance
ROI: Overall return on investment
⚠️ Important Notes
Always Active: This system is always in a position (long or short)
No Neutral: You're either long or short, never flat
Automatic Reversal: Positions flip at each signal
Stop Loss: Fixed at entry ZigZag level (doesn't trail)
🎮 Quick Start Guide
Beginners: Start with default settings on 1H timeframe
Test First: Use paper trading to understand the signals
Small Size: Begin with 1% risk per trade
Track Results: Monitor the dashboard statistics
Adjust: Fine-tune momentum settings based on results
🔧 Customization Tips
Color Signals: Enable to see momentum strength
Dashboard Position: Move to preferred screen location
Visual Settings: Adjust colors for your theme
Alerts: Set up for automated notifications
This indicator is ideal for traders who prefer an always-in-market approach with clear entry/exit rules and automated position management. The key to success is choosing the right momentum engine for your market and maintaining disciplined risk management.
BACAP PRICE STRUCTURE 21 EMA TREND21dma-STRUCTURE
Overview
The 21dma-STRUCTURE indicator is a sophisticated overlay indicator that visualizes price action relative to a triple 21-period exponential moving average structure. Originally developed by BalarezoCapital and enhanced by PrimeTrading, this indicator provides clear visual cues for trend direction and momentum through dynamic bar coloring and EMA structure analysis.
Key Features
Triple EMA Structure
- 21 EMA High: Tracks the exponential moving average of high prices
- 21 EMA Close: Tracks the exponential moving average of closing prices
- 21 EMA Low: Tracks the exponential moving average of low prices
- Dynamic Cloud: Gray fill between high and low EMAs for visual structure reference
Smart Bar Coloring System
- Blue Bars: Price closes above all three EMAs (strong bullish momentum)
- Pink Bars: Daily high falls below the lowest EMA (strong bearish signal)
- Gray Bars: Neutral conditions or transitional phases
- Color Memory: Maintains previous color until new condition is met
Dynamic Center Line
- Trend-Following Color: Green when all EMAs are rising, red when all are falling
- Color Persistence: Maintains trend color during sideways movement
- Visual Clarity: Thicker center line for easy trend identification
Customizable Visual Elements
- Adjustable line thickness for all EMA plots
- Customizable colors for bullish and bearish conditions
- Configurable trend colors for uptrend and downtrend phases
- Optional bar color changes with toggle control
How to Use
Trend Identification
- Rising Green Center Line: All EMAs trending upward (bullish structure)
- Falling Red Center Line: All EMAs trending downward (bearish structure)
- Flat Center Line: Maintains last trend color during consolidation
Momentum Analysis
- Blue Bars: Strong bullish momentum with price above entire EMA structure
- Pink Bars: Strong bearish momentum with high below lowest EMA
- Gray Bars: Neutral or transitional momentum phases
Entry and Exit Signals
- Bullish Setup: Look for blue bars during green center line periods
- Bearish Setup: Look for pink bars during red center line periods
- Exit Consideration: Watch for color changes as potential momentum shifts
Structure Trading
- Support/Resistance: Use EMA cloud as dynamic support and resistance zones
- Breakout Confirmation: Bar color changes can confirm structure breakouts
- Trend Continuation: Color persistence suggests ongoing momentum
Settings
Visual Customization
- Change Bar Color: Toggle to enable/disable bar coloring
- Line Size: Adjust thickness of EMA lines (default: 3)
- Bullish Candle Color: Customize blue bar color
- Bearish Candle Color: Customize pink bar color
Trend Colors
- Uptrend Color: Color for rising EMA center line (default: green)
- Downtrend Color: Color for falling EMA center line (default: red)
- Cloud Color: Fill color between high and low EMAs (default: gray)
Advanced Features
Modified Bar Logic
Unlike traditional EMA systems, this indicator uses refined conditions:
- Bullish signals require close above ALL three EMAs
- Bearish signals require high below the LOWEST EMA
- Enhanced precision reduces false signals compared to single EMA systems
Trend Memory System
- Intelligent color persistence during sideways movement
- Reduces noise from minor EMA fluctuations
- Maintains trend context during consolidation periods
Performance Optimization
- Efficient calculation methods for real-time performance
- Clean visual design that doesn't clutter charts
- Compatible with all timeframes and instruments
Best Practices
Multi-Timeframe Analysis
- Use higher timeframes to identify overall trend direction
- Apply on multiple timeframes for confluence
- Combine with weekly/monthly charts for position trading
Risk Management
- Use bar color changes as early warning signals
- Consider position sizing based on EMA structure strength
- Set stops relative to EMA support/resistance levels
Combination Strategies
- Pair with volume indicators for confirmation
- Use alongside RSI or MACD for momentum confirmation
- Combine with key support/resistance levels
Market Context
- More effective in trending markets than choppy conditions
- Consider overall market environment and sector strength
- Adjust expectations during high volatility periods
Technical Specifications
- Based on 21-period exponential moving averages
- Uses Pine Script v6 for optimal performance
- Overlay indicator that works with any chart type
- Maximum 500 lines for clean performance
Ideal Applications
- Swing trading on daily charts
- Position trading on weekly charts
- Intraday momentum trading (adjust timeframe accordingly)
- Trend following strategies
- Structure-based trading approaches
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management, and consider your individual trading plan and risk tolerance.
Compatible with Pine Script v6 | Works on all timeframes | Optimized for trending markets
21DMA Structure Counter (EMA/SMA Option)21DMA Structure Counter (EMA/SMA Option)
Overview
The 21DMA Structure Counter is an advanced technical indicator that tracks consecutive periods where price action remains above a 21-period moving average structure. This indicator helps traders identify momentum phases and potential trend exhaustion points using statistical analysis.
Key Features
Moving Average Structure
- Configurable MA Type: Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average)
- 21-Period Default: Optimized for the widely-watched 21-period moving average
- Triple MA Structure: Tracks high, close, and low moving averages for comprehensive analysis
Statistical Analysis
- Cycle Counting: Automatically counts consecutive periods above the MA structure
- Historical Data: Maintains up to 2,500 historical cycles (approximately 10 years of daily data)
- Z-Score Calculation: Provides statistical context using mean and standard deviation
- Multiple Standard Deviation Levels: Displays +1, +2, and +3 standard deviation thresholds
Visual Indicators
Color-Coded Bars:
- Gray: Below 10-year average
- Yellow: Between average and +1 standard deviation
- Orange: Between +1 and +2 standard deviations
- Red: Between +2 and +3 standard deviations
- Fuchsia: Above +3 standard deviations (extreme readings)
Breadth Integration
- Multiple Breadth Options: NDFI, NDTH, NDTW (NASDAQ breadth indicators), or VIX
- Background Shading: Visual alerts when breadth reaches extreme levels
- High/Low Thresholds: Customizable levels for breadth analysis
- Real-time Display: Current breadth value shown in data table
Smart Reset Logic
- High Below Structure Reset: Automatically resets count when daily high falls below the lowest MA
- Flexible Hold Period: Continues counting during temporary weakness as long as structure isn't violated
- Precise Entry/Exit: Strict criteria for starting cycles, flexible for maintaining them
How to Use
Trend Identification
- Rising Counts: Indicate sustained momentum above key moving average structure
- Extreme Readings: Z-scores above +2 or +3 suggest potential trend exhaustion
- Historical Context: Compare current cycles to 10-year statistical averages
Risk Management
- Breadth Confirmation: Use breadth shading to confirm market-wide strength/weakness
- Statistical Extremes: Exercise caution when readings reach +3 standard deviations
- Reset Signals: Pay attention to structure violations for potential trend changes
Multi-Timeframe Application
- Daily Charts: Primary timeframe for swing trading and position management
- Weekly/Monthly: Longer-term trend analysis
- Intraday: Shorter-term momentum assessment (adjust MA period accordingly)
Settings
Moving Average Options
- Type: EMA or SMA selection
- Period: Default 21 (customizable)
- Reset Days: Days below structure required for reset
Visual Customization
- Standard Deviation Lines: Toggle and customize colors for +1, +2, +3 SD
- Breadth Selection: Choose from NDFI, NDTH, NDTW, or VIX
- Threshold Levels: Set custom high/low breadth thresholds
- Table Styling: Customize text colors, background, and font size
Technical Notes
- Data Retention: Maintains 2,500 historical cycles for robust statistical analysis
- Real-time Updates: Calculations update with each new bar
- Breadth Integration: Uses security() function to pull external breadth data
- Performance Optimized: Efficient array management prevents memory issues
Best Practices
1. Combine with Price Action: Use alongside support/resistance and chart patterns
2. Monitor Breadth Divergences: Watch for breadth weakness during strong readings
3. Respect Statistical Extremes: Exercise caution at +2/+3 standard deviation levels
4. Context Matters: Consider overall market environment and sector rotation
5. Risk Management: Use appropriate position sizing, especially at extreme readings
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis and proper risk management techniques.
Compatible with Pine Script v6 | Optimized for daily timeframes | Best used on major indices and liquid stocks
DeltaStrike — Aggressive Candle Detector by Chaitu50cDeltaStrike — Aggressive Candle Detector
by Chaitu50c
DeltaStrike is a simple and effective tool designed to help traders identify the most aggressive candles on the chart in real time. It works purely on price action and internal candle dynamics, with no reliance on lagging indicators.
The indicator combines delta (directional strength), candle range, and volume to compute an overall aggressiveness score for each candle. When this score exceeds a dynamic threshold based on recent market behavior, the candle is marked as an aggressive move.
Aggressive bullish candles are plotted as green diamonds below the candle, while aggressive bearish candles are plotted as red diamonds above the candle. The goal is to help traders visually spot moments of strong directional pressure, where potential trends or reversals may emerge.
The detection logic adapts automatically to changing market volatility and volume, making it suitable for all instruments and timeframes, including index futures, equities, and forex.
An integrated dashboard on the chart displays live readings of the key components contributing to each candle’s aggressiveness score: delta ratio, range ratio, and volume ratio. This helps traders understand the internal structure of each aggressive move.
Features:
Dynamic aggressiveness detection based on delta, range, and volume
Adaptive threshold for consistent behavior across timeframes and instruments
Clean chart output with clear diamond markers only on selected candles
Live dashboard with internal metrics for advanced analysis
Simple, lightweight, and optimized for intraday and swing trading
Works with any instrument: index, equity, forex, commodity
DeltaStrike is intended as an objective visual aid to help traders focus on genuine moments of strong market intent, filtering out ordinary or passive price movement. It can be used standalone or in combination with your existing trading strategy.
Color Change EMA 200 (4H)200 Color Change EMA (4H Locked)
Overview
This indicator displays a 200-period Exponential Moving Average (EMA) that is locked to the 4-hour timeframe, regardless of what chart timeframe you're currently viewing. The EMA line changes color dynamically based on price action to provide clear visual trend signals.
Key Features
• Multi-Timeframe Capability : Always shows the 4H 200 EMA on any chart timeframe
• Dynamic Color Coding :
- Green: Price is above the 200 EMA (bullish condition)
- Red: Price is below the 200 EMA (bearish condition)
• Clean Visual Design : Bold 2-pixel line width for clear visibility
• Real-time Updates : Colors change instantly as price crosses above or below the EMA
How to Use
1. Add the indicator to any timeframe chart
2. The 4H 200 EMA will appear as a smooth line
3. Watch for color changes:
- When the line turns green, it indicates price strength above the key moving average
- When the line turns red, it suggests price weakness below the moving average
4. Use for trend identification, support/resistance levels, and entry/exit timing
Best Practices
• Combine with other technical analysis tools for confirmation
• Use the color changes as alerts for potential trend shifts
• Consider the 200 EMA as a major support/resistance level
• Works well for swing trading and position sizing decisions
Settings
• Length : Default 200 periods (customizable)
• Source : Default closing price (customizable)
Perfect for traders who want to keep the important 4H 200 EMA visible across all timeframes with instant visual trend feedback.
Trending Indicator: Price % of Pivots# Price % of Pivots Indicator
## Overview
A trend-following indicator that measures current price position relative to recent pivot highs and lows as percentages, providing normalized trend analysis across all timeframes and instruments.
## Key Features
- **Real-time trend table** with live signal updates (Strong Bullish/Bearish, Leaning Bullish/Bearish, Neutral)
- **Dual percentage tracking**: Price % of high pivot and low pivot % of current price
- **Universal compatibility** - works on any timeframe and asset class
- **Faster than some other trend indicators** - catches trend changes earlier with less lag
## Trading Signals
- **Bullish bias**: When price % of high pivot > low pivot % of price
- **Bearish bias**: When low pivot % of price > price % of high pivot
- **Customizable thresholds** (default 99%) with alert system
- **Color-coded backgrounds** for immediate visual confirmation
## Configuration
- Adjustable pivot lookback period (5-100 bars)
- Customizable left/right bars for pivot confirmation
- Threshold settings from 50-110% with 0.5% increments
- Full color customization for all elements
## Advantages
- **Speed**: More responsive than traditional ATR-based indicators
- **Clarity**: Clean percentage-based display with professional info table
- **Alerts**: Multiple conditions for automated and manual trading
- **Versatility**: Effective for day trading, swing trading, and multi-timeframe analysis
Perfect for traders seeking a fast, reliable trend indicator that works consistently across all markets and timeframes.
Combined ATPC & MACD DivergenceTrend Optimizer + Divergence Finder in One Unified Tool
🔍 Overview:
This powerful dual-system indicator merges two proven analytical engines:
✅ The Algorganic Typical Price Channel (ATPC) — a custom trend oscillator that highlights mean-reversion and directional bias.
✅ A refined MACD system with divergence detection, enhanced with an adjusted Donchian midline for real-time trend strength filtering.
Together, they provide a high-confidence, multi-signal system ideal for swing trading, scalping, or confirming reversals with context.
⚙️ Core Components & Logic
🧠 1. ATPC Engine (Trend Commodity Index)
A momentum and volatility-normalized oscillator based on the typical price (H+L+C)/3:
TrendCI Line (Blue) – Main trend signal based on smoothed CCI logic.
TrendLine2 (Orange) – A slower smoothing of TrendCI for crossovers.
Key Zones (customizable):
🔴 Ultra Overbought: +73
🟣 Overbought: +58
🟣 Oversold: -58
🔴 Ultra Oversold: -73
Trade Logic:
✅ Buy Signal: TrendCI crosses above TrendLine2 while in oversold zone
❌ Sell Signal: TrendCI crosses below TrendLine2 while in overbought zone
Additional visual feedback:
Histogram Bars show strength and direction of momentum shift
Green/Red Circles highlight potential long/short setups
📉 2. MACD System + Divergence Finder
Classic MACD enhanced with a Donchian Midline overlay to filter trend bias.
🔷 MACD Line and 🟠 Signal Line show crossover momentum
🟩/🟥 Histogram shows distance from the signal line
🟪 Adjusted Donchian Midline dynamically adapts to range-bound vs trending environments
Background Color provides real-time trend state:
✅ Green = Bullish Trend
❌ Red = Bearish Trend
No color = Neutral / Choppy
MACD Boundaries (user-defined):
Overbought: +1.0
Oversold: -1.0
🔀 3. Divergence Detection
Spot hidden power shifts before price reacts:
🔼 Positive Divergence – Price makes lower lows, but MACD histogram rises
🔽 Negative Divergence – Price makes higher highs, but MACD histogram weakens
These are visually marked with:
Green “+Div” label (bullish reversal cue)
Red “–Div” label (bearish exhaustion signal)
🎯 How to Use It
For Trend Traders:
Stay in sync with macro trend using MACD histogram + background
Use ATPC crossovers for precision entries
Avoid signals during neutral background (chop filter)
For Reversal Traders:
Look for bullish +Div with ATPC buy signal in oversold zone
Look for bearish –Div with ATPC sell signal in overbought zone
Mid-Donchian line can act as confluence or breakout trigger
For Scalpers & Intraday Traders:
Combine with VWAP, liquidity zones, or order flow levels
ATPC crossovers + MACD histogram zero-line flip = potential scalp entry
Use histogram slope and divergence to avoid false momentum traps
🧩 Customizable Inputs
🎛️ ATPC: Channel & Smoothing lengths, overbought/oversold thresholds
🎛️ MACD: Fast/slow EMAs, signal smoothing, Donchian period, bounds
🎨 Fully theme-compatible with adjustable colors and line styles
🔔 Alerts (Add Your Own)
While this version doesn’t contain built-in alerts, you can easily add alerts based on:
buySignal or sellSignal from ATPC logic
Histogram cross zero or trend flip
MACD Divergence event
📜 “This indicator doesn't just show signals—it tells a story about who’s in control of the market, and when that control might be slipping.”
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine
The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI.
💡 What Makes It Unique?
While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity.
This dual-RSI approach allows for:
- Divergence detection between directional bias and price magnitude.
- Smoother trend confirmation in choppy markets.
- Cleaner visual cues using dynamic glow and background logic.
📐 How Standard RSI Actually Works (Not What You Think)
RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood:
1.) For each bar, it calculates the change from the previous close.
2.) It separates those changes into gains (upward moves) and losses (downward moves).
3.) Then it computes a smoothed average of those gains and losses (usually using an RMA).
4.) It calculates the Relative Strength (RS) as:
RS = AvgGain / AvgLoss
5.) Finally, it plugs that into the RSI formula:
RSI = 100 - (100 / (1 + RS))
⚖️ What Does the 50 Line Mean?
- The RSI scale runs from 0 to 100, but 50 is the true neutral zone:
- RSI > 50 means average gains outweigh average losses over the period.
- RSI < 50 means losses dominate.
- RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias.
- This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI.
🔧 Inputs and Customization
- Everything is fully modular and customizable:
🧠 Core Settings
- RSI Length: Used for both the standard RSI and Candle Count RSI.
📉 Standard RSI
- Classic RSI calculation based on price changes.
- Optional WMA smoothing to reduce noise.
- Glow effect toggle with custom intensity.
🕯 Candle Count RSI
- Computes RSI using only the count of up/down candles.
- Optional smoothing for stability.
- Amplifies streaks (e.g., multiple consecutive bullish candles increase strength).
- Glow effect toggle with adjustable strength.
🎇 Glow Visuals
- Background glow (subpane and/or main chart).
- Fades based on RSI distance from the 50 midpoint.
- Independent color settings for bull and bear bias.
🧬 Divergence Zones
- Detects when Candle RSI and Standard RSI diverge.
- Highlights:
- Bullish Divergence: Candle RSI > 50, Standard RSI < threshold.
- Bearish Divergence: Candle RSI < 50, Standard RSI > threshold.
- Background fill optionally shown in subpane and/or main chart.
📊 Directional Histogram
- MACD-style histogram showing the difference between the two RSI lines.
- Color-coded based on directional agreement:
- Both rising → green.
- Both falling → red.
- Conflict → yellow.
🧠 Under the Hood — How It Works
🔹 Standard RSI
- Classic ta.rsi() applied to close prices, optionally WMA-smoothed.
🔹 Candle Count RSI (CCR)
- Counts how many candles closed up/down over the period.
- Computes a magnitude-free RSI from these counts.
- Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs.
- Optionally smoothed with WMA to create a clean signal line.
- This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes.
🔹 Divergence Logic
- When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution.
🔹 Glow Logic
- Glow zones are controlled by a master toggle and drawn with dynamic transparency:
- Further from 50 = stronger conviction = darker glow.
- Shows up in subpane and/or main chart depending on user preference.
📷 Suggested Use Case / Visual Setup
- Use in conjunction with your primary price action system.
- Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals.
- Use glow bias zones on the main chart to get subconscious directional cues during fast scalping.
- Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions.
🛠️ Tip for Traders
- This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down.
⚠️ WARNING
- Not for use with Heikin Ashi, Renko, etc.).
🧠 Summary
Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity.
—
🛠️ Built by: Sherlock_MacGyver
Feel free to share feedback or reach out if you'd like to collaborate on custom features.
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
CAFX Liquidity Pro V1CAFX Liquidity Pro Indicator
Precision Engineered for Smart Profit-Taking
The CAFX Liquidity Pro Indicator is a powerful trading tool designed to help traders pinpoint high-probability liquidity zones, making it ideal for setting accurate and strategic take profit levels. By identifying where institutional interest is likely to reside, this indicator highlights the areas where price is most likely to react, reverse, or pause—giving you the edge in locking in profits before the market shifts.
Whether you're scalping, day trading, or swing trading, the CAFX Liquidity Pro provides clear visual cues that simplify your decision-making process and enhance your trade management. With a focus on precision and reliability, it helps you avoid emotional exits and instead base your take profits on real market behavior and liquidity dynamics.
Use CAFX Liquidity Pro to stay one step ahead—because knowing where to exit is just as important as knowing when to enter.
ADX+ Oscillator📈 ADX+ Oscillator — Enhanced Trend Strength Indicator
🔹 Description:
A modified oscillator based on the ADX (Average Directional Index), providing both visual and digital interpretation of trend strength and direction. A powerful tool for filtering sideways markets and identifying strong impulses across any timeframe.
🔹 Features:
• ADX line to assess trend strength
• DI+ and DI− lines to determine trend direction
• Colored background zones:
• Gray: ranging market (ADX < 20)
• Orange: transition zone (20 ≤ ADX < 25)
• Green: strong trend (ADX ≥ 25)
• Digital value labels for ADX / DI+ / DI− on the latest candle
• Signal arrows when DI+ crosses DI− and vice versa
🔹 Why use it:
• Signal filtering: avoid trades in flat markets (ADX < 20)
• Trend confirmation: enter only when ADX is rising above 25
• Directional guidance via DI+ and DI− behavior
🔹 Best for:
• Scalping (1m, 5m)
• Intraday trading (15m, 1h)
• Swing trading (4h and above)
• Breakout and pullback strategies
4 colour MACD with Delta % + Div LabelMACD 4C + Delta % + Divergence Label
This advanced MACD-based indicator is designed for professional traders seeking enhanced momentum analysis with visual clarity. It offers a multi-faceted view of MACD behavior with real-time insights into trend strength, acceleration, and divergence signals.
Key Features:
4-Color MACD Histogram:
Visually distinguishes between rising and falling MACD bars in both bullish and bearish zones for quicker momentum assessment.
Delta % Labels:
Each bar displays the percentage change in MACD compared to the previous bar, providing instant feedback on MACD acceleration and shift in momentum.
Automatic Divergence Detection:
Identifies regular bullish and bearish divergences using pivot-based logic. Displays clear, compact labels near MACD bars to highlight potential reversal zones.
Clean, Minimalist Design:
Divergence labels are sized for readability and positioned to avoid overlapping with MACD data, ensuring clean chart presentation.
No repainting or lag:
All divergence calculations are based on confirmed pivots, ensuring reliable signal generation without false alerts.
This tool is ideal for scalpers, swing traders, and momentum traders who rely on MACD dynamics for precise timing and directional bias. Use it to improve your entry and exit accuracy by combining traditional MACD signals with real-time volume and divergence insight.
🔹 Usage Notes
Recommended Timeframes:
Works well on all timeframes. For scalping, use 1m–5m; for swing trading, use 15m–1H+.
Best for:
Traders looking for a fast, visual way to assess trend strength and spot divergence-based reversal opportunities.
Pair With:
Can be used alongside price action, volume profile, RSI, or order flow-based indicators for confirmation.
How to Read:
Green/Red MACD bars indicate bullish/bearish momentum.
Delta % shows MACD change rate — increasing positive delta = strengthening trend.
Arrows/text labels signal potential divergence — pay attention when divergence aligns with support/resistance or price structure.
Notes:
No repainting — divergence is only drawn after pivots are confirmed.
All labels are automatically managed for clean display.
Can be customized further for hidden divergences or alert integration.
Super Arma Institucional PRO v6.3Super Arma Institucional PRO v6.3
Description
Super Arma Institucional PRO v6.3 is a multifunctional indicator designed for traders looking for a clear and objective analysis of the market, focusing on trends, key price levels and high liquidity zones. It combines three essential elements: moving averages (EMA 20, SMA 50, EMA 200), dynamic support and resistance, and volume-based liquidity zones. This integration offers an institutional view of the market, ideal for identifying strategic entry and exit points.
How it Works
Moving Averages:
EMA 20 (orange): Sensitive to short-term movements, ideal for capturing fast trends.
SMA 50 (blue): Represents the medium-term trend, smoothing out fluctuations.
EMA 200 (red): Indicates the long-term trend, used as a reference for the general market bias.
Support and Resistance: Calculated based on the highest and lowest prices over a defined period (default: 20 bars). These dynamic levels help identify zones where the price may encounter barriers or supports.
Liquidity Zones: Purple rectangles are drawn in areas of significantly above-average volume, indicating regions where large market participants (institutional) may be active. These zones are useful for anticipating price movements or order absorption.
Purpose
The indicator was developed to provide a clean and institutional view of the market, combining classic tools (moving averages and support/resistance) with modern liquidity analysis. It is ideal for traders operating swing trading or position trading strategies, allowing to identify:
Short, medium and long-term trends.
Key support and resistance levels to plan entries and exits.
High liquidity zones where institutional orders can influence the price.
Settings
Show EMA 20 (true): Enables/disables the 20-period EMA.
Show SMA 50 (true): Enables/disables the 50-period SMA.
Show EMA 200 (true): Enables/disables the 200-period EMA.
Support/Resistance Period (20): Sets the period for calculating support and resistance levels.
Liquidity Sensitivity (20): Period for calculating the average volume.
Minimum Liquidity Factor (1.5): Multiplier of the average volume to identify high liquidity zones.
How to Use
Moving Averages:
Crossovers between the EMA 20 and SMA 50 may indicate short/medium-term trend changes.
The EMA 200 serves as a reference for the long-term bias (above = bullish, below = bearish).
Support and Resistance: Use the red (resistance) and green (support) lines to identify reversal or consolidation zones.
Liquidity Zones: The purple rectangles highlight areas of high volume, where the price may react (reversal or breakout). Consider these zones to place orders or manage risks.
Adjust the parameters according to the asset and timeframe to optimize the analysis.
Notes
The chart should be configured only with this indicator to ensure clarity.
Use on timeframes such as 1 hour, 4 hours or daily for better visualization of liquidity zones and support/resistance levels.
Avoid adding other indicators to the chart to keep the script output easily identifiable.
The indicator is designed to be clean, without explicit buy/sell signals, following an institutional approach.
This indicator is perfect for traders who want a visually clear and powerful tool to trade based on trends, key levels and institutional behavior.
TEMA with Slope Color [MrBuCha]This TEMA indicator is particularly useful for trend following strategies. The key innovation here is using a higher timeframe (default 1-hour) to get a broader perspective on the trend direction, while the color-coding makes it immediately obvious whether the momentum is bullish (blue) or bearish (orange).
The 200-period length makes this more suitable for swing trading rather than day trading, as it filters out short-term noise and focuses on significant trend movements.
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What is TEMA and How Does It Work?
TEMA (Triple Exponential Moving Average) is a technical indicator that builds upon the standard EMA to reduce lag and provide faster response to price changes. The calculation process is:
EMA1 = EMA of closing price with specified length
EMA2 = EMA of EMA1 with the same length
EMA3 = EMA of EMA2 with the same length
TEMA = 3 × (EMA1 - EMA2) + EMA3
This formula helps reduce the lag inherent in smoothing calculations, making TEMA more responsive to price movements compared to other moving averages.
Default Values
Length: 200 periods
Timeframe: "60" (1 hour)
Slope Colors
Blue: When TEMA is trending upward (tema_current > tema_previous)
Orange: When TEMA is trending downward (tema_current ≤ tema_previous)
Pros and Cons Summary
Advantages:
Fast Response: Reduces lag better than SMA and regular EMA
Easy to Use: Color-coded slope makes trend direction immediately visible
Multi-timeframe Capability: Can display TEMA from higher timeframes
Trend Following: Excellent for identifying trend direction
Visual Clarity: Clear color signals help with quick decision making
Disadvantages:
False Signals: Prone to whipsaws in sideways/choppy markets
Noise in Volatility: Frequent color changes during high volatility periods
Not Suitable for Scalping: Length of 200 is quite long for short-term trading
Still Lagging: Despite improvements, it remains a lagging indicator
Requires Confirmation: Should be used with other indicators for better accuracy
Best Use Cases:
Medium to long-term trend following
Identifying major trend changes
Multi-timeframe analysis
Combine with momentum oscillators for confirmation
Trading Tips:
Wait for color confirmation before entering trades
Use higher timeframe TEMA for overall trend bias
Combine with support/resistance levels
Avoid trading during consolidation periods
wma+ tendance🟢 Wma+ tendance– Trend Ribbon with Weighted Moving Averages and Alerts
Description:
Wma+ tendance is a visual trend indicator that uses two Weighted Moving Averages (WMA) – a fast and a slow one – to clearly highlight market direction. It fills the space between the two WMAs with dynamic colors and includes alerts for trend changes.
🟩 Green: Uptrend – the fast WMA is above the slow WMA, and both are rising.
🟥 Red: Downtrend – the fast WMA is below the slow WMA, and both are falling.
⬜ Gray: No clear trend – indicating potential sideways or consolidating price action.
Features:
Trend ribbon visualized between fast and slow WMAs
Alerts for bullish and bearish trend detection
Customizable inputs for MA lengths and price source
Use cases:
Spot early trend formations
Combine with other indicators for confirmation
Adaptable for intraday and swing trading strategies
This script helps traders stay on the right side of the trend with minimal noise and real-time alerts.
Stoch Quad Oscillator📘 Stoch Quad Oscillator – User Guide
✅ Purpose
The Stoch Quad Oscillator is a multi-timeframe stochastic oscillator tool that helps traders detect oversold and overbought conditions, momentum shifts, and quad rotation signals using four distinct stochastic configurations. It includes visual cues, customizable parameters, and background highlights to improve decision-making during trend reversals or momentum surges.
🛠️ Inputs & Parameters
⏱ Timeframe
Timeframe for Stochastic Calculation: Defines which chart timeframe to use for stochastic calculations (default is "1" minute). This enables multi-timeframe analysis while on a lower timeframe chart.
📈 Stochastic Parameters
Four different stochastic configurations are used:
Label %K Length %D Smoothing Notes
K9 D3 9 3 Fastest, short-term view
K14 D3 14 3 Moderately short-term
K40 D4 40 4 Medium-term trend view
K60 D10 60 10 Long-term strength
Smoothing Type: Choose between SMA or EMA to control how smoothed the %D line is.
🎯 Levels
Overbought Level: Default 80
Oversold Level: Default 20
These are used to indicate overextended price conditions on any of the stochastic plots.
🔄 Quad Rotation Detection Settings
When enabled, the script detects synchronized oversold/overbought conditions with strong momentum using all 4 stochastic readings.
Enable Quad Rotation: Toggles detection on or off
Slope Calculation Bars: Number of bars used to calculate slope of %D lines
Slope Threshold: Minimum slope strength for signal (higher = stronger confirmation)
Oversold Quad Level: Total of all four stochastic values that define a quad oversold zone
Overbought Quad Level: Total of all four stochastic values that define a quad overbought zone
Oversold Quad Highlight Color: Background color when oversold quad is triggered
Overbought Quad Highlight Color: Background color when overbought quad is triggered
Slope Averaging Method: Either Simple Average or Weighted Average (puts more weight on higher timeframes)
Max Signal Bar Window: Defines how recent the signal must be to be considered valid
📊 Plots & Visual Elements
📉 Stochastic %D Lines
Each stochastic is plotted separately:
K9 D3 – Red
K14 D3 – Orange
K40 D4 – Fuchsia
K60 D10 – Silver
These help visualize short to long-term momentum simultaneously.
📏 Horizontal Reference Lines
Overbought Line (80) – Red
Oversold Line (20) – Green
These help you identify threshold breaches visually.
🌈 Background Highlighting
The indicator provides background highlights to mark potential signal zones:
✅ All Oversold or Overbought Conditions
When all four stochastics are either above overbought or below oversold:
Bright Red if all are overbought
Bright Green if all are oversold
🚨 Quad Rotation Signal Zones (if enabled)
Triggered when:
The combined sum of all four stochastic levels is extremely low/high (below/above oversoldQuadLevel or overboughtQuadLevel)
The average slope of the 4 %D lines is sharply positive (> slopeThreshold)
Highlights:
Custom Red Tint = Strong overbought quad signal
Custom Green Tint = Strong oversold quad signal
These zones can indicate momentum shifts or reversal potential when used with price action or other tools.
⚠️ Limitations & Considerations
This indicator does not provide trade signals. It visualizes conditions and potential setups.
It is best used in confluence with price action, support/resistance levels, and other indicators.
False positives may occur in ranging markets. Reduce reliance on slope thresholds during low volatility.
Quad signals rely on slope strength, which may lag slightly behind sudden reversals.
🧠 Tips for Use
Combine with volume, MACD, or PSAR to confirm direction before entry.
Watch for divergences between price and any of the stochastics.
Use on higher timeframes (e.g., 5m–30m) to filter for swing trading setups; use shorter TFs (1m–5m) for scalping signals.
Adjust oversoldQuadLevel and overboughtQuadLevel based on market conditions (e.g., in trending vs ranging markets).
