Strategy Cloud

Strategy Cloud is a backtesting environment for financial technical analysis. It enables users to develop, test, and visualize trading strategies using Python.

Features

• Backtesting Engine: Simulate trading strategies on historical data.
• Technical Indicators: Includes RSI momentum and other strategies.
• Data Collection: Tools for collecting and preparing financial data.
• Visualization: Chart utilities for visualizing strategy performance.
• LLM Assist: Potential for AI-assisted features. Will be developed in next version

Project Structure

strategy-cloud/
├── app.py                  # Main application entry point
├── data/                   # Data collection utilities
│   └── data_collector.py
├── llm_assist/             # (Reserved for LLM/AI features)
├── strategy/               # Trading strategies and backtesting
│   ├── backtest.py
│   ├── rsi_momentum.py
│   └── strategies.py
├── utils/                  # Utility functions
│   └── warnings.py
├── visual/                 # Visualization utilities
│   └── chart_utils.py
├── test_main.py            # Unit tests
├── .streamlit/             # Streamlit configuration
│   └── config.toml
├── .gitignore
├── LICENSE
└── README.md

Getting Started

Prerequisites

• Python 3.8+
• Streamlit (for UI, if used)
• Required Python packages (see below)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/strategy-cloud.git
   cd strategy-cloud

2. Install dependencies:

   pip install -r requirements.txt

   (Create requirements.txt if not present, based on your imports.)

Usage

Run the main application:

python app.py

Or, if using Streamlit:

streamlit run app.py

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the GNU General Public License v3.0. See the