OilPriceAPI Kaggle Notebooks

Professional Jupyter notebooks for oil price analysis using the OilPriceAPI Python SDK.

Notebooks

1. WTI vs Brent Crude Spread Analysis

Kaggle: View Notebook

Analyzes the price differential between West Texas Intermediate (WTI) and Brent Crude oil benchmarks.

Topics covered:

• Historical price comparison
• Spread calculation and visualization
• Trading signal identification
• Statistical analysis

2. Oil Price Technical Analysis

Kaggle: Coming soon

Comprehensive technical analysis with indicators and forecasting.

Topics covered:

• Technical indicators (SMA, EMA, RSI)
• Volatility analysis
• Moving average crossovers
• Trend detection

Requirements

pip install oilpriceapi pandas matplotlib seaborn scipy

Get API Key

Free tier includes 1,000 requests/month:

• Sign up: oilpriceapi.com/auth/signup
• Documentation: docs.oilpriceapi.com
• Python SDK: github.com/oilpriceapi/python-sdk

Running Notebooks

On Kaggle

1. Click notebook links above
2. Click "Copy & Edit"
3. Add your API key in Secrets (label: OILPRICEAPI_KEY)
4. Run all cells

Locally

jupyter notebook notebook_name.ipynb

Contributing

Issues and pull requests welcome!

License

MIT

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