domain-trading

Analyze trading activities, positions, volumes, and execution quality on eToro.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill domain-trading
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domain-trading
Source: https://github.com/guyman-tr/Databricks_Knowledge/tree/main/knowledge/skills/domain-trading
Command: npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill domain-trading

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of trading activities within the eToro trading platform, covering both the broker and dealer sides, enabling users to track position states, instruments, trading volumes, AUM/NOP/PnL, copy trading, liquidity provider flow, dealing operations, and execution quality.

Core Features & Use Cases

  • Position Lifecycle: Track position states, including open, close, modify, and cashout events.
  • Instrument Catalog: Access detailed information about instruments, including asset classes, suffixes, and tradeable status.
  • Trading Volumes & Amounts: Monitor trading volumes and amounts, including real vs. CFD trading, and by asset class.
  • AUM/NOP/PnL: Analyze the AUM, NOP, and PnL trends.
  • Copy Trading: Understand copy trading and mirror relationships.
  • Dealing Operations: Investigate dealing operations, including execution events and pricing history.
  • Execution Quality: Assess best-execution metrics, including NBBO, slippage, fails, latency, and TCA.
  • Use Case: If you need to understand how a particular trade was executed, use this Skill to analyze the trade's lifecycle, pricing history, and liquidity provider involvement.

Quick Start

Load the Trading & Markets Super-Domain to analyze the trading activities of customer X.

Frequently Asked Questions about domain-trading

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

FAQPage Schema
How do I analyze trading execution quality and slippage on the eToro platform?

You can analyze trading execution quality by examining best-execution metrics, including NBBO, slippage, fails, latency, and TCA, using this Skill to query underlying SQL tables and views for detailed execution events and pricing history.

What is the best way to track the position lifecycle and cashout events for a specific customer?

The best way to track a position lifecycle is by loading the Trading & Markets Super-Domain to monitor open, close, modify, and cashout events, utilizing bridge tables to cross-reference customer actions with dealer-side data.

Can I use SQL views to investigate AUM, NOP, and PnL trends alongside trading volumes?

Yes, you can use SQL views to investigate AUM, NOP, and PnL trends while simultaneously monitoring trading volumes and amounts, distinguishing between real and CFD trading across different asset classes.

Does this analysis tool support investigating copy trading relationships and dealing operations?

Yes, the analysis tool supports investigating copy trading and mirror relationships, and it handles dealing operations by analyzing execution events, liquidity provider flow, and pricing history on the eToro platform.

How do I query instrument details and tradeable status across different asset classes?

You query instrument details by accessing the instrument catalog through the Skill, which retrieves information about asset classes, instrument suffixes, and tradeable status directly from the platform's database schema.

What limitations exist when analyzing broker and dealer-side data for cross-side questions?

A key limitation is the dependency on accessing specific SQL tables and bridge tables; without proper database permissions to cross-reference broker and dealer-side data, analyzing cross-side questions is not possible.