For Misc - Git action

README.md

@@ -9,7 +9,9 @@ See `component_diagram.md` and `architecture_diagram.txt` in the parent director
 ## UI/UX Module
 
 ### Dashboard
+
 Simple dashboard displaying key trading metrics:
+
 - PnL (Profit and Loss)
 - Drawdown
 - Win Rate
@@ -17,9 +19,11 @@ Simple dashboard displaying key trading metrics:
 ## Data Layer Module
 
 ### Moomoo API Connector
+
 A robust Python client for moomoo API with comprehensive error handling, rate limiting, and data normalization.
 
 **Features:**
+
 - Historical OHLCV data retrieval
 - Real-time WebSocket subscription (mock)
 - Instrument metadata
@@ -29,6 +33,7 @@ A robust Python client for moomoo API with comprehensive error handling, rate li
 - Mock mode for development
 
 **Usage:**
+
 ```python
 from data.connectors import create_moomoo_client, Interval
 from datetime import datetime, timedelta
@@ -47,31 +52,38 @@ See `examples/demo_moomoo.py` for complete demonstration.
 ## Development
 
 ### Prerequisites
+
 - Python 3.8+
 - Node.js (for frontend, optional)
 - Docker (optional)
 - Redis (optional, for caching)
 
 ### Setup
+
 1. Clone the repository
 2. Install dependencies: `pip install -r requirements.txt`
 3. Run the dashboard: `python app.py`
 4. Test data connector: `python examples/demo_moomoo.py`
 
 ### Data Layer Development
+
 The data connector uses a modular design with base classes for easy extension:
+
 - `DataConnector` abstract base class
 - `MoomooClient` implementation with mock mode
 - Rate limiting and circuit breaker patterns
 - Caching support (in-memory or Redis)
 
 To extend with real API credentials:
+
 1. Set environment variables: `MOOMOO_API_KEY`, `MOOMOO_SESSION_TOKEN`
 2. Set `mock_mode=False` when creating client
 3. Implement actual API calls in `_make_request()` method
 
 ### UI/UX Development
+
 The dashboard is built with Flask (backend) and Bootstrap/Chart.js (frontend).
+
 - Backend: `app.py` provides REST API endpoints
 - Frontend: `templates/dashboard.html` with interactive charts
 
@@ -80,6 +92,7 @@ The dashboard is built with Flask (backend) and Bootstrap/Chart.js (frontend).
 A complete clickable mockup of the full platform is available in the `prototype/` directory. This showcases the complete user interface with all major sections:
 
 **Features demonstrated:**
+
 - Dashboard with real-time metrics
 - Data management interface
 - Strategy engine configuration
@@ -87,6 +100,7 @@ A complete clickable mockup of the full platform is available in the `prototype/
 - Navigation between all platform sections
 
 **To use the prototype:**
+
 1. Open `prototype/index.html` in a web browser
 2. Click sidebar navigation to explore different sections
 3. Interact with charts, forms, and controls