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Studying Spot-Futures Hedging with a Quant Research Notebook

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Summary

The document introduces a data science research environment as a way to study hedging concepts in crypto trading. It focuses on spot-futures hedging, where positions in spot and futures are paired to analyze price differences and the process of opening and closing a hedge. The example uses Bitcoin against USDT, with spot and quarterly futures trading on the same exchange.

The material points readers to notebook examples in Python and JavaScript, indicating that the environment supports both languages. However, the document itself does not present the notebook's calculations, results, or a full explanation of hedge sizing, basis behavior, or execution risks. It is primarily an introduction to a research tool and a specific educational example, so readers would need the referenced notebooks to evaluate the method in detail.

Key ideas

  • Spot-futures hedging pairs spot and futures positions to study their relative prices.
  • The featured example examines opening and closing a Bitcoin spot-quarterly-futures hedge.
  • The research environment supports notebooks written in Python and JavaScript.
  • The document introduces the study setup but provides no hedge results or detailed risk analysis.

Tags

CryptoFuturesSpot marketsArbitrageStatistics

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.