3e0e89b826
- Introduced dynamic generation of parameter fields and callback handling for indicators, enhancing modularity and maintainability. - Updated `config_utils.py` with new utility functions to load indicator templates and generate dynamic outputs and states for parameter fields. - Refactored `indicators.py` to utilize these utilities, streamlining the callback logic and improving user experience by reducing hardcoded elements. - Modified `indicator_modal.py` to create parameter fields dynamically based on JSON templates, eliminating the need for manual updates when adding new indicators. - Added documentation outlining the new data-driven architecture for indicators, improving clarity and guidance for future development. These changes significantly enhance the flexibility and scalability of the indicator system, aligning with project goals for maintainability and performance.
Crypto Trading Bot Platform
A simplified crypto trading bot platform for strategy testing and development using real OKX market data and virtual trading simulation.
Overview
This platform enables rapid strategy development with a monolithic architecture that supports multiple concurrent trading bots, real-time monitoring, and performance tracking.
Key Features
- Multi-Bot Management: Run multiple trading bots simultaneously with different strategies.
- Real-time Monitoring: Live OHLCV charts with bot trading signals overlay.
- Modular Chart System: Advanced technical analysis with 26+ indicators and strategy presets.
- Virtual Trading: Simulation-first approach with realistic fee modeling.
- JSON Configuration: Easy strategy parameter testing without code changes.
- Backtesting Engine: Test strategies on historical market data (planned).
- Crash Recovery: Automatic bot restart and state restoration.
Tech Stack
- Framework: Python 3.10+ with Dash
- Database: PostgreSQL
- Real-time Messaging: Redis
- Package Management: UV
- Containerization: Docker
Quick Start
For detailed instructions on setting up and running the project, please refer to the main documentation.
➡️ Go to the Full Documentation
# Quick setup for development
git clone <repository>
cd TCPDashboard
uv sync
cp env.template .env
docker-compose up -d
uv run python main.py
Documentation
All project documentation is located in the docs/ directory. The best place to start is the main documentation index.
- Main Documentation - The central hub for all project documentation, including setup guides, architecture, and module details.
- Setup Guide - Complete setup instructions for new machines.
- Project Context - The single source of truth for the project's current state.
Contributing
We welcome contributions! Please review the Contributing Guidelines and the Project Context before getting started.