Cryptocurrency Portfolio Analysis

Analyzes different cryptocurrency portfolio strategies using Python. Compares performance of various portfolio allocations across major cryptocurrencies like Bitcoin, Ethereum, and others.

Quick Start

1. Clone the repository:

git clone https://github.com/sergio-pestana/Crypto_Portfolio_Analysis.git
cd Crypto_Portfolio_Analysis

2. Set up Python environment:

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
pip install -r requirements.txt

3. Run the analysis:

jupyter notebook Analysis_BTC.ipynb

Portfolio Strategies

The analysis includes these portfolio allocations:

• Mercurius: BTC (65%), ETH (30%), others - BNB, SOL, XRP, ADA and AVAX (5%)
• 50/30/20: BTC (50%), ETH (30%), others - BNB, SOL, XRP, ADA and AVAX (20%)
• BTC/ETH: BTC (50%), ETH (50%)
• Altcoin Heavy: BTC (20%), ETH (30%), others - BNB, SOL, XRP, ADA and AVAX (50%)
• DeFi Only: Equal distribution among altcoins (LINK, UNI, AAVE, MKR and CRV)
• Meme Coins Only: Equal distribution among all (DOGE, SHIB, PEPE, FLOKI and BONK)

Data

• Timeframe: January 2021 - April 2022
• Daily prices for BTC, ETH, USDC, ADA, DOT, UNI, ATOM, LINK, BNB
• Data source: Investing.com (via investpy)

Disclaimer

For educational purposes only. Not financial advice.