Here you can find a few implementations of ideas, practice from books and more about trading, Algorithmic Trading, data analysis and so on. I am a crypto trader so I deal both with traditional finance (stocks, indexes, etc) and crypto (BTC, ETH, etc.) from CEXs and DEXs.
Navigate to the cloned directory and explore various scripts and Jupyter Notebooks for implementing and testing trading strategies.
- Clone the repository,
- Run the setup script to create a virtual environment and install dependencies running the
setup.sh(see inside if using Windows).
- Implementations of trading strategies from books and research.
- Scripts for quantitative trading and data analysis.
- Examples of backtesting trade strategies.
The repository includes several folders containing specific scripts and Jupyter Notebooks:
- PineScript: Scripts written in Pine Script for trading.
- Python4Finance: Python scripts for financial data analysis and algo trading. These codes are inspired by the book "Python for Finance Cookbook" as a way to learn and do. I deal both with crypto and stocks here. Usually the crypto notebooks go deeper.
- Hummingbot and personal_hummingbot: Configurations for using Hummingbot for trading.
- Hyperliquid-Python-SDK: SDK usage examples for trading APIs.
- Pattern Recognition: Scripts for identifying trading patterns.
- golang: you'll find for now basic codes in go.
- cryptozombies: learning solidity from the famous cryptozombies, tbh for fun :)
- RUST: learning RUST!
- More to come to find the best algo-trading software!
This project is licensed under the MIT License - see the LICENSE file for details.