futures-arbitrage-pipeline

Generate an arbitrage conclusions workbook from four exchange raw futures data.

3|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/cx-qk/Calendar-Spread-Arbitrage --skill futures-arbitrage-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: futures-arbitrage-pipeline
Source: https://github.com/cx-qk/Calendar-Spread-Arbitrage/tree/main/.cursor/skills/futures-arbitrage-pipeline
Command: npx skills add https://github.com/cx-qk/Calendar-Spread-Arbitrage --skill futures-arbitrage-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end generation of a cross-month futures arbitrage conclusion table from four exchanges' raw data, enabling traders to quickly assess opportunities with auditable results.

Core Features & Use Cases

  • End-to-end orchestration: coordinates two reference steps to transform raw exchange data into a final, ranked arbitrage list.
  • Auditable outputs: produces the arbitrage conclusions workbook at project root for review by traders.
  • Use Case: a trader uses the generated workbook to decide which futures pairs to trade on the next open.

Quick Start

Run the two-step futures-arbitrage-pipeline to convert raw exchange data into the final arbitrage conclusions file.

Frequently Asked Questions about futures-arbitrage-pipeline

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

FAQPage Schema
How do I automate cross-month futures arbitrage analysis from raw exchange data?

Automate cross-month futures arbitrage analysis by running a two-step pipeline that ingests four exchanges' raw futures data and contract files to produce a ranked arbitrage conclusions workbook at the project root.

What is an end-to-end arbitrage pipeline for futures trading?

An end-to-end arbitrage pipeline orchestrates data processing steps to transform raw exchange futures data into a reproducible, auditable daily shortlist of cross-month futures opportunities for traders.

Can I generate a reproducible daily shortlist of futures pairs for trading?

Yes, you can generate a reproducible daily shortlist by executing the orchestrated pipeline scripts that process raw exchange data into a single conclusions workbook.

Does the futures arbitrage pipeline require specific raw data formats from exchanges?

The pipeline requires raw futures data files from four exchanges alongside contract data as inputs, utilizing these files to execute its two orchestrated processing steps.

How do I get an auditable arbitrage conclusions workbook for futures pairs?

To get an auditable workbook, run the pipeline to process raw futures data, which outputs a single '套利结论.xlsx' file at the project root for trader review.

Are there limitations to using an automated pipeline for futures arbitrage insights?

The pipeline is limited to processing data from four specified exchanges and focuses solely on cross-month futures opportunities, outputting one conclusions workbook per run.