Monthly Seasonality (for last N Years)

Monthly Seasonality analyzes historical price behavior to reveal how a symbol typically performs in each calendar month. It helps traders identify recurring seasonal patterns, stronger months, weaker months, and overall consistency across years.

What this indicator does?
1. Calculates monthly percentage returns using historical price data
2. Aggregates results over a user-defined lookback period (max up to 20 years)
3. Displays a seasonality table showing:
> Average return (%) for each month
> Win rate (%) — how often the month closed positive
> Number of years included in the calculation
4. Automatically highlights:
> 📈 Best performing month
> 📉 Worst performing month

Seasonality Table:

• Green shading indicates positive average returns
  
• Red shading indicates negative average returns
  
• ⭐ A star marks the strongest and weakest months
  
• Table colors automatically adapt to light and dark themes
  
• Table position is fully customizable (top, middle, bottom)
  

How Traders Use It?

• Identify seasonally strong months for swing trades or position entries
  
• Avoid historically weak periods or tighten risk controls
  
• Combine with technical indicators for higher-probability trade timing
  
• Useful for equities, ETFs, and indices with long trading histories
  

Examples:

1. AAPL


2. BTCUSD