This repository contains a complete framework for Pine Script development with organized references, guidelines, and development tools. This framework was created using Qwen Code.
├── Development_Framework/ # Framework components
│ ├── checkpoint_system/ # Progress tracking and resume capability
│ │ ├── checkpoint_*.json # Timestamped checkpoint files
│ │ ├── latest_checkpoint.json # Symlink to most recent checkpoint
│ │ ├── template_checkpoint.json # Template for new checkpoints
│ │ ├── README.md # Checkpoint system documentation
│ │ └── DEVELOPMENT_GUIDE.md # Detailed usage guide
│ └── README.md # Framework documentation
├── guidelines/ # Development guidelines and rules
│ ├── original_guidelines.txt # Original guidelines from user
│ ├── pine_script_guidelines.json # Structured guidelines (JSON)
│ ├── pine_script_guidelines.md # Structured guidelines (Markdown)
│ └── pine_script_quick_reference.txt # Quick reference guide
├── pine_script_references/ # Official Pine Script reference (v3-v6)
│ ├── v3/ # Version 3 reference
│ ├── v4/ # Version 4 reference
│ ├── v5/ # Version 5 reference
│ ├── v6/ # Version 6 reference
│ ├── OVERALL_SUMMARY.md # Comparison of all versions
│ └── README.md # Overview of all references
├── screeners/ # Screener development organized by type
│ ├── example_screener/ # Example screener implementation
│ │ ├── wip/ # Work-in-progress development
│ │ ├── final/ # Final production version
│ │ └── README.md # Example screener documentation
│ ├── multi_column/ # Multi-column screeners by information density
│ │ ├── wip/ # Work-in-progress development
│ │ ├── final/ # Final production versions
│ │ └── README.md # Multi-column screener documentation
│ └── README.md # Screeners overview
├── scripts/ # Utility scripts for development
│ ├── checkpoint_manager.py # Checkpoint management system
│ ├── simple_checkpoint.py # Simple checkpoint utility
│ ├── convert_to_pdf.py # Convert Pine Script reference to PDF
│ ├── organize_pine_reference.py # Organize Pine Script reference materials
│ ├── parse_all_versions.py # Parse all Pine Script versions
│ ├── parse_toc.py # Parse table of contents
│ ├── pineref2pdf.py # Convert Pine Script reference to PDF
│ ├── scrape_all_versions.py # Scrape all Pine Script versions
│ ├── scrape_pine_reference.py # Scrape Pine Script reference
│ └── scrape_pine_reference_selenium.py # Scrape Pine Script reference with Selenium
├── templates/ # Code templates for different development types
│ ├── gold_standard_screener_template.pine # Multi-instance screener template
│ ├── indicator_template.pine # New indicator development template
│ ├── strategy_template.pine # New strategy development template
│ ├── screener_template.pine # New screener development template
│ ├── improvement_template.pine # Code improvement template
│ └── README.md # Template usage documentation
├── tickers/ # Market tickers organized for screener development
│ ├── india/ # Indian market tickers (30 active + 10 dummy)
│ │ ├── alphabetical_30_active.txt # Alphabetically sorted tickers
│ │ ├── alphabetical_30_active.pine # Pine Script formatted version
│ │ ├── popular_30_active.txt # Popular tickers
│ │ ├── popular_30_active.pine # Pine Script formatted version
│ │ ├── random_01_30_active.txt # Random subset 1
│ │ ├── random_02_30_active.txt # Random subset 2
│ │ ├── random_03_30_active.txt # Random subset 3
│ │ └── all_tickers.txt # Complete list of all unique tickers
│ ├── us/ # US market tickers (30 active + 10 dummy)
│ │ ├── alphabetical_30_active.txt # Alphabetically sorted tickers
│ │ ├── alphabetical_30_active.pine # Pine Script formatted version
│ │ ├── popular_30_active.txt # Popular tickers
│ │ ├── popular_30_active.pine # Pine Script formatted version
│ │ ├── random_01_30_active.txt # Random subset 1
│ │ ├── random_02_30_active.txt # Random subset 2
│ │ ├── random_03_30_active.txt # Random subset 3
│ │ └── all_tickers.txt # Complete list of all unique tickers
│ └── README.md # Tickers organization documentation
├── from_scratch/ # New development from scratch
├── improve_existing/ # Enhancement of existing code
├── atr_retracement_ema_signals.pine # EMA signals example
├── atr_retracement_ema_strategy.pine # EMA strategy example
└── README.md # Main project overview
- All Pine Script Versions: Organized documentation for v3, v4, v5, and v6
- Easy Navigation: Categorized by functions, variables, constants, etc.
- Version Comparison: Track evolution of Pine Script features
- Auto-Update Tools: Python scripts to automatically scrape latest references from TradingView
- Coding Standards: Rules for Pine Script syntax and style
- Common Mistakes: Quick reference to avoid illegal operations
- Best Practices: Efficient code delivery preferences
- Multi-Instance Architecture: Scalable screener designs with position control
- Multi-Column: Information density focused screeners
- Workflow: Structured development process from WIP to production
- Templates: Ready-to-use code templates for different development types
- Indian Market: 219 unique tickers organized for screener development
- US Market: 264 unique tickers organized for screener development
- Optimized Format: 30 active tickers + 10 dummy tickers per instance
- Pine Script Ready: Pre-formatted
input.symbol()
calls - Multiple Options: Alphabetical, popular, and random ticker sets
- Progress Tracking: Automatic progress tracking for development tasks
- Resume Capability: Seamless continuation after interruptions
- State Preservation: Maintain context of ongoing work
- Workflow Documentation: Record completed tasks and next steps
- Reference Scraping: Automatically download latest Pine Script references from TradingView
- PDF Conversion: Convert references to PDF for offline reading
- Organization Tools: Parse and organize reference materials by category
- Automation Scripts: Streamline repetitive development tasks
- Minimal Clutter: Only essential files and directories retained
- Logical Structure: Easy navigation and maintenance
- Consistent Formatting: Standardized across all components
Access organized Pine Script documentation in pine_script_references/
Follow coding standards in guidelines/
directory
- Work in Progress: Develop in appropriate
wip/
directory - Test in TradingView: Copy code for validation and refinement
- Production Deployment: Move finalized logic to
final/
directories
- Choose Market: Select
india/
orus/
tickers - Choose Type: Alphabetical, popular, or random ticker sets
- Integrate: Use Pine Script formatted files for direct copy-paste
- Optimize: 30 active + 10 dummy structure fits screen space perfectly
- Create Checkpoints: Use checkpoint system to track progress
- Resume Work: Easily continue from last interruption point
- Document Steps: Record completed tasks and next actions
- Review guidelines in
guidelines/
directory - Browse references in
pine_script_references/
for function details - Choose appropriate screener template from
templates/
directory - Select tickers from
tickers/
directories based on market focus - Develop in WIP directories, test in TradingView
- Deploy to final directories when ready
- Create checkpoints to track progress
- Choose market (
india/
orus/
) - Select appropriate ticker set:
alphabetical_30_active.*
for alphabetically sorted tickerspopular_30_active.*
for well-known stocksrandom_*_30_active.*
for varied combinations
- Use Pine Script formatted files for direct integration
- Copy-paste into screener code
- Last 10 tickers (s31-s40) will be disabled by default
- Initialize: Create initial checkpoint for new project
- Update: Create checkpoints after completing subtasks
- Resume: Use latest checkpoint to continue interrupted work
- Track: Monitor overall progress throughout development
Keep your Pine Script references up-to-date with our powerful Python tools:
# Scrape all Pine Script versions from TradingView
python scripts/scrape_all_versions.py
# Organize scraped references into categories
python scripts/organize_pine_reference.py
# Convert references to PDF for offline reading
python scripts/convert_to_pdf.py
Requirements:
- Python 3.6+
- requests library
- beautifulsoup4 library
- selenium (for selenium-based scraping)
Install requirements:
pip install requests beautifulsoup4 selenium
For an enhanced development experience, we recommend checking out Qwen Code, the AI-powered development environment that was used to create this framework. You can find this project on GitHub.
- Clear separation of concerns
- Logical directory hierarchy
- Easy navigation and maintenance
- Pre-formatted Pine Script code
- Optimized ticker lists (30 active + 10 dummy)
- Multi-instance screener templates
- Follow proven workflows
- Leverage existing templates
- Integrate tickers with minimal effort
- Automatic progress tracking
- Seamless resume capability
- State preservation across sessions
- Accommodates multiple screener types
- Supports different market focuses
- Flexible for future expansion
- Ticker Lists: Regenerate when source CSVs change
- References: Update when Pine Script versions change
- Checkpoints: Review and archive completed projects
- Templates: Update with improved patterns and practices
- Version Control: Include repository in Git or other VCS
- Cloud Storage: Sync to cloud storage for redundancy
- Automated Backups: Schedule regular backups of key directories