Seasonal Performance Analyzer | AlphaNatt

📊 Seasonal Performance Analyzer | AlphaNatt

📈 Overview
Unlock the power of seasonality with this advanced visualization tool that reveals hidden patterns in market behavior. The Seasonal Performance Analyzer overlays multiple years of historical data for any selected month, allowing traders to identify recurring seasonal trends, anomalies, and potential trading opportunities.

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✨ Key Features

🎯 Month-by-Month Analysis
- Isolate and analyze any single month across multiple years
- Compare up to 20 years of historical performance
- Instantly visualize seasonal patterns and trends

📊 Advanced Visualization
- Beautiful gradient coloring from oldest (light blue) to newest (dark blue) years
- Clean axis system with labeled days and months
- Professional grid layout for easy value reading
- Optional average line showing mean performance across all years

🔧 Flexible Display Options
- Normalize to 100: Start each year at a base value of 100 for easy percentage comparison
- Raw Price Mode: View actual price movements without normalization
- Customizable Colors: Adjust gradient colors and transparency to your preference
- Toggle Features: Show/hide year labels, average line, and day labels

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⚙️ Input Parameters

📅 Time Settings
- Select Month: Choose any month (1-12) for analysis
- Years to Display: Show 1-20 years of historical data
- Include Current Year: Option to include incomplete current year data

🎨 Visual Settings
- Line Transparency: Adjust the opacity of year lines (0-100)
- Gradient Colors: Customize oldest and newest year colors
- Average Line: Color and width customization
- Legend Display: Toggle year labels on/off

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💡 Use Cases

1. Seasonal Trading Strategies
Identify months with consistent directional bias for seasonal entry/exit timing

2. Risk Management
Spot historically volatile periods and adjust position sizes accordingly

3. Pattern Recognition
Discover recurring intra-month patterns like "first week strength" or "mid-month reversals"

4. Comparative Analysis
Compare current month's performance against historical averages to gauge relative strength

5. Anomaly Detection
Quickly identify years that deviated significantly from typical seasonal patterns

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📖 How to Use

Step 1: Add the indicator to your chart
Step 2: Select the month you want to analyze (default: November)
Step 3: Choose how many years of history to display
Step 4: Toggle normalization based on your analysis needs
Step 5: Look for patterns:
• Consistent trends across multiple years
• Divergences from the average line
• Specific days with recurring movements
• Years that broke the seasonal pattern

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🎯 Pro Tips

✅ For Swing Traders: Focus on months showing consistent multi-day trends
✅ For Day Traders: Identify specific days within a month that show repetitive behavior
✅ For Investors: Use normalized view to compare percentage gains across years
✅ For Risk Analysis: The wider the spread between years, the less reliable the seasonal pattern

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📊 Example Insights

This indicator can reveal powerful insights such as:
- "November typically shows strength in the first two weeks"
- "Years above the average line tend to continue outperforming"
- "Day 15-20 historically shows consolidation patterns"
- "Election years show different patterns than non-election years"

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⚠️ Important Notes

- Past performance does not guarantee future results
- Seasonality is one factor among many - combine with other analysis methods
- Major events can override seasonal patterns
- Works best on assets with long price history
- More years of data generally provides more reliable patterns

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🏆 Perfect For:
- Seasonal traders
- Swing traders looking for optimal entry months
- Analysts studying market cycles
- Anyone interested in historical market patterns
- Risk managers assessing seasonal volatility

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Created by AlphaNatt - Empowering traders with advanced seasonal analysis

Version: 1.0
Pine Script: v6
License: Mozilla Public License 2.0