OPEN-SOURCE SCRIPT
Monthly Seasonality Analyzer
This indicator analyzes historical performance/seasonality of a chosen month, from date of inception to present. Users can choose any calendar month via dropdown menu.
For each historical month selected, it will calculate the monthly percentage gain/loss, range(volatility), and average gain/loss percentage, average range percentage across all recorded years. Positive returns are colored green and negative returns are red. Also, calculates if the selected month was bullish(open>close) or bearish.
When current chart month matches the selected month, it shows the in-progress range as well.
Data is collected from 1930 to present. Results are shown in vertical and horizontal tables. If the vertical table exceeds a 36 years, the script automatically switches to horizontal table to display all the data, with option to change table position.
Overall this tool is valuable for seasonality research, such as Santa Rally, May Go Away and swing trading/ position trading to capture the monthly PO3 range.
Most seasonality indicators show all 12 months at once or use daily bars. This one zooms in deeply on one month only, providing detailed per-year breakdowns, accurate completed-month stats, and a practical live range display.
The script uses arrays to store years, gains, and ranges. Uses table.new(), table.cell(), table.merge_cells() for easily readable result display. Code handles the current in-progress month separately (shows live range without including it in historical averages).
**Script will not run on any timeframe other than monthly and displays error otherwise. Script is best used on spot and not futures.
For each historical month selected, it will calculate the monthly percentage gain/loss, range(volatility), and average gain/loss percentage, average range percentage across all recorded years. Positive returns are colored green and negative returns are red. Also, calculates if the selected month was bullish(open>close) or bearish.
When current chart month matches the selected month, it shows the in-progress range as well.
Data is collected from 1930 to present. Results are shown in vertical and horizontal tables. If the vertical table exceeds a 36 years, the script automatically switches to horizontal table to display all the data, with option to change table position.
Overall this tool is valuable for seasonality research, such as Santa Rally, May Go Away and swing trading/ position trading to capture the monthly PO3 range.
Most seasonality indicators show all 12 months at once or use daily bars. This one zooms in deeply on one month only, providing detailed per-year breakdowns, accurate completed-month stats, and a practical live range display.
The script uses arrays to store years, gains, and ranges. Uses table.new(), table.cell(), table.merge_cells() for easily readable result display. Code handles the current in-progress month separately (shows live range without including it in historical averages).
**Script will not run on any timeframe other than monthly and displays error otherwise. Script is best used on spot and not futures.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.