crypto-derivatives

Evaluate crypto derivatives conditions for strategy research across funding, futures, and options.

Updated May 5, 2026
One-click install
npx skills add https://github.com/wudye/traderAssistHK --skill crypto-derivatives-wudye
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crypto-derivatives
Source: https://github.com/wudye/traderAssistHK/tree/main/backend/src/skills/crypto-derivatives
Command: npx skills add https://github.com/wudye/traderAssistHK --skill crypto-derivatives-wudye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you research and design crypto-derivatives strategies by translating derivatives market conditions (funding rates, term structure, and options volatility/Greeks) into actionable analysis outputs and risk-aware decision guidance.

Core Features & Use Cases

  • Perpetual funding-rate arbitrage: Converts funding-rate direction and magnitude into carry arbitrage ideas with explicit risk controls (margin, funding reversal, basis volatility, exchange risk).
  • Futures term-structure trading: Uses contango/backwardation concepts and basis/annualized metrics to select cash-and-carry or calendar spread variants based on observed curve shape.
  • Options volatility-smile / Greeks analysis: Interprets Greeks and the volatility surface (smile/skew, 25Δ risk reversal) to motivate volatility- and range-based options strategies.

Use Case: If you are evaluating BTC/ETH today, you can combine funding-rate signals, futures basis structure, and options IV/skew indicators to produce a daily monitoring snapshot and strategy suggestions while applying leverage and stop-loss guardrails designed for backtest research.

Quick Start

Use the crypto-derivatives skill to generate a daily market snapshot for BTC and ETH (funding rate, annualized basis, 25Δ risk reversal, and ATM IV) and receive strategy suggestions with associated risk warnings.

Frequently Asked Questions about crypto-derivatives

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor crypto derivatives signals like funding rates and basis for daily trading research?

To monitor crypto derivatives signals, you evaluate funding rates, annualized basis, and options volatility indicators to generate a daily market snapshot for assets like BTC and ETH. This snapshot guides strategy selection while applying leverage and stop-loss guardrails for backtest research.

What is perpetual funding rate arbitrage and how does basis volatility affect the strategy?

Perpetual funding rate arbitrage converts funding-rate direction and magnitude into carry trade ideas. Basis volatility directly impacts the strategy's profitability and requires explicit risk controls for margin management, funding reversal, and exchange risk during the research phase.

How do I use futures term structure and contango or backwardation for cash-and-carry trading?

Futures term structure trading uses contango and backwardation curve shapes to select cash-and-carry or calendar spread strategies. You calculate basis and annualized metrics from the observed curve to identify profitable trading variants for backtest planning.

Can I analyze options volatility smile and Greeks for BTC and ETH on Deribit and OKX?

Yes, you can interpret options Greeks and the volatility surface, including smile, skew, and 25-delta risk reversal, for BTC and ETH. This analysis motivates volatility-based and range-based options strategies on major venues like Deribit and OKX.

Does this crypto derivatives analysis support live execution or is it strictly for backtesting?

This crypto derivatives analysis is strictly for backtest research and strategy planning, not live execution. It provides deterministic analytical guidance and safety-oriented framing that emphasizes risk-aware decision-making without placing actual trades.

What crypto derivatives risk management constraints should I apply when evaluating carry arbitrage strategies?

When evaluating carry arbitrage strategies, you must apply risk management constraints including margin limits, funding reversal protections, basis volatility thresholds, and exchange risk assessments. These guardrails ensure strategies remain viable during backtest validation.