Energy derivatives data collection and analysis system
Project description
Energex
Energy derivatives data collection and analysis system with advanced analytics for futures trading.
Features
Data Collection
- Real-time intraday data fetching
- Support for major energy futures contracts
- Efficient storage using DuckDB
- Robust error handling and validation
Analysis Tools
-
Data Quality:
- Price gap detection
- Volume anomaly detection
- OHLC consistency checks
-
Volatility Analysis:
- Multiple volatility calculation methods
- Intraday pattern detection
- Risk metrics
-
Futures Analysis:
- Term structure analysis
- Roll yield calculations
- Basis risk measurement
- Implied rates
Visualization
- Interactive price charts
- Volume profile analysis
- Term structure visualization
- Futures curve analysis
Installation
pip install energex
Quick Start
from energex.data_fetcher import EnergyDataFetcher
from energex.database import EnergyDatabase
from energex.analysis.volatility import VolatilityAnalyzer
from energex.visualization.charts import MarketVisualizer
# Fetch data
fetcher = EnergyDataFetcher()
data = fetcher.fetch_all_commodities()
# Store in database
db = EnergyDatabase()
db.insert_intraday_data(data)
# Analyze volatility
analyzer = VolatilityAnalyzer(data)
vol_metrics = analyzer.calculate_volatility_metrics()
# Create visualizations
viz = MarketVisualizer(data)
fig = viz.plot_price_quality("CL=F")
fig.show()
Contributing
Contributions are welcome! Please read our Contributing Guidelines for details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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