d34da789ec
- Introduced `config_utils.py` for loading and managing strategy configurations, including functions for loading templates, generating dropdown options, and retrieving parameter schemas and default values. - Added JSON templates for EMA Crossover, MACD, and RSI strategies, defining their parameters and validation rules to enhance modularity and maintainability. - Implemented `StrategyManager` in `manager.py` for managing user-defined strategies with file-based storage, supporting easy sharing and portability. - Updated `__init__.py` to include new components and ensure proper module exports. - Enhanced error handling and logging practices across the new modules for improved reliability. These changes establish a robust foundation for strategy management and configuration, aligning with project goals for modularity, performance, and maintainability.
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.