crypto-derivatives

To analyze crypto derivatives market data, this Skill processes perpetual funding rates using Python and pandas to identify arbitrage opportunities and execute trading strategies. It requires access to live market data via requests.

Futures term-structure trading evaluates the price curve of contracts over time. You can execute a cash-and-carry strategy during a contango market by analyzing the BTC term structure to profit from the price gap.

Yes, you can analyze crypto options volatility and Greeks using Python libraries like numpy. The Skill supports executing options strategies such as straddles and reversals based on the computed metrics.

Yes, you need pandas, numpy, and requests installed in your Python environment. These libraries handle data manipulation, mathematical calculations for Greeks, and fetching live crypto derivatives market data.

The best way to identify perpetual funding-rate arbitrage is by analyzing funding rate data to find pricing discrepancies. This Skill processes market data to spot these arbitrage conditions and structure the trade.

The main limitation is the dependency on external data access; the Skill requires a reliable connection to fetch crypto derivatives market data using requests. Analysis accuracy depends entirely on the quality of the data received.