Building a Real-Time Crypto Volatility Surface System
📰 Dev.to · Sean Gordon
Learn to build a real-time crypto volatility surface system and understand its importance in crypto trading and risk management
Action Steps
- Build a data pipeline using APIs to collect real-time crypto market data
- Configure a database to store and manage the collected data
- Apply machine learning models to calculate volatility surfaces
- Test the system using historical data and evaluate its performance
- Deploy the system on a cloud platform for real-time processing
Who Needs to Know This
Quantitative traders, data scientists, and software engineers can benefit from this system to make informed trading decisions and manage risk
Key Insight
💡 A real-time crypto volatility surface system can provide valuable insights for traders and risk managers
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🚀 Build a real-time crypto volatility surface system to inform trading decisions and manage risk
Key Takeaways
Learn to build a real-time crypto volatility surface system and understand its importance in crypto trading and risk management
Full Article
See the PoC/MVP here: https://dashboard.derivasys.com Over the past few months I’ve been building...
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