open-outcry-hybrid-price-discovery

Analyze price discovery across open outcry, auction, and hybrid electronic mechanisms.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill open-outcry-hybrid-price-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: open-outcry-hybrid-price-discovery
Source: https://github.com/GhostOf0days/codex-quant-skills/tree/main/open-outcry-hybrid-price-discovery
Command: npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill open-outcry-hybrid-price-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, argparse, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill analyzes and monitors market price formation across various trading mechanisms, including open outcry, auctions, and hybrid electronic systems, identifying inefficiencies and risks.

Core Features & Use Cases

  • Mechanism Analysis: Compares price discovery quality across different trading states (opening auction, continuous matching, closing auction).
  • Diagnostic Tools: Measures price efficiency, slippage, and volatility under stress conditions.
  • Use Case: Use this Skill to assess how well a new hybrid trading mechanism is performing compared to traditional open outcry, specifically looking for any dislocations during the transition periods.

Quick Start

Run the open outcry hybrid price discovery diagnostics script on input.csv to generate diagnostics.json.

Frequently Asked Questions about open-outcry-hybrid-price-discovery

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

FAQPage Schema
How do I measure price discovery efficiency across open outcry and hybrid electronic trading mechanisms?

Run deterministic Python diagnostic scripts on your CSV market data to measure price efficiency, slippage, and volatility, outputting results to a JSON file for diagnostic review.

Can I compare opening auction price formation with continuous matching using market data?

The Skill analyzes market price discovery across open outcry, auction, and hybrid electronic mechanisms, providing diagnostics for opening and closing auction price formation alongside continuous matching analysis.

Does this price discovery tool require specific Python dependencies to run diagnostics?

You need Python with pandas, argparse, and json dependencies installed to run the diagnostic scripts that analyze market price formation and generate execution diagnostics.

What is the best way to diagnose slippage and volatility under stress conditions in hybrid markets?

Use the diagnostic scripts to measure price efficiency, slippage, and volatility under stress conditions, comparing hybrid trading performance against traditional open outcry mechanisms.

Why does my hybrid trading mechanism show price dislocations during transition periods?

Dislocations happen when price formation inefficiencies arise across mechanism transitions; run the diagnostics script on your CSV data to isolate and measure these specific execution risks.