market-microstructure

Analyze Solana DEX order flow to classify trades and detect wash trading patterns.

266|54|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill market-microstructure
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-microstructure
Source: https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/market-microstructure
Command: npx skills add https://github.com/agiprolabs/claude-trading-skills --skill market-microstructure

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps traders understand the hidden dynamics of Decentralized Exchange (DEX) order flow, enabling more informed trading decisions by analyzing trade patterns, volume, and pressure.

Core Features & Use Cases

  • Trade Classification: Accurately identify buy vs. sell trades even on AMMs.
  • Pressure Metrics: Calculate buyer/seller pressure, volume profiles, and momentum signals.
  • Wash Trading Detection: Identify suspicious activity that inflates volume.
  • Use Case: A trader can use this Skill to analyze the recent order flow for a Solana token, identify if whales are accumulating or distributing, and gauge the overall market sentiment to time their entries and exits more effectively.

Quick Start

Analyze the market microstructure for the token with mint address 'EPjF...'.

Frequently Asked Questions about market-microstructure

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

FAQPage Schema
How do I analyze Solana DEX order flow for trading signals?

This Skill identifies wash trading patterns on Solana by analyzing DEX order flow data to detect suspicious activity that artificially inflates volume. It cross-references trade sequences and volume metrics from APIs like Birdeye and DexScreener to flag manipulative behaviors.

Can I detect wash trading patterns on Solana using DEX data?

This Skill identifies wash trading patterns on Solana by analyzing DEX order flow data to detect suspicious activity that artificially inflates volume. It cross-references trade sequences and volume metrics from APIs like Birdeye and DexScreener to flag manipulative behaviors.

How does trade classification work for AMM swaps on Solana?

You need Python and the httpx library installed to run the data fetching and processing scripts required for Solana token analysis. The Skill relies on these Python scripts to query APIs like Birdeye and generate actionable trading signals.

What data sources do I need to calculate buyer and seller pressure for Solana tokens?

To calculate buyer and seller pressure for Solana tokens, this Skill utilizes market microstructure data sourced from Birdeye and DexScreener APIs. It processes this order flow data to derive momentum indicators and volume profiles for actionable trading signals.

Do I need Python to generate momentum indicators from Solana order flow?

Yes, you need Python and the httpx library to run the scripts that fetch and process Solana order flow data. The Skill requires these Python scripts to generate momentum indicators and calculate volume profiles from the raw API data.