skills.rest
guyman-tr
guyman-trCOMMUNITY
Explore all skills by this author →
GitHub

Revenue Business Logic Skill

Automate revenue calculation and reporting for eToro's trading platform using SQL.

Updated Aug 27, 2026
Search Tags:#SQL#data analysis#financial reporting#trading platform#revenue calculation
One-click install
npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill revenue-business-logic-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Revenue Business Logic Skill
Source: https://github.com/guyman-tr/Databricks_Knowledge/tree/main/knowledge/skills/_de_existing/revenue-business-logic
Command: npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill revenue-business-logic-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex revenue calculations and reporting process for eToro's trading platform, saving time and reducing errors in financial analysis.

Core Features & Use Cases

  • Automated Revenue Calculation: Handles various revenue components such as trading fees, conversion fees, and admin fees.
  • Reporting: Generates detailed revenue reports for DDR and dashboards.
  • Use Case: Use this Skill to automate the calculation of revenue from trading activities, conversion fees, and other sources, and generate a comprehensive report for financial analysis.

Quick Start

Use the revenue business logic skill to calculate the total revenue for the period ending 20251231.

Frequently Asked Questions about Revenue Business Logic Skill

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

FAQPage Schema
How do I automate revenue calculation for a trading platform using SQL?▼

Automating revenue calculation for a trading platform involves using SQL queries to process financial data and compute trading fees, conversion fees, and admin fees. This generates detailed metrics for financial reporting.

How do I generate financial reporting for trading fees and conversion fees?▼

Financial reporting for trading fees and conversion fees requires extracting data via SQL and processing it with pandas to calculate individual revenue components. This generates comprehensive reports for dashboards and analysis.

Can I use pandas and SQLAlchemy to automate eToro revenue reporting?▼

Yes, you can use pandas and SQLAlchemy to automate eToro revenue reporting by querying databases and processing financial data. This combination handles multiple revenue components and generates detailed DDR reports.

What is the best way to calculate multiple revenue components from trading activities?▼

Calculating multiple revenue components from trading activities is best handled by automating data extraction with SQL and processing with pandas. This approach accurately aggregates trading fees, conversion fees, and admin fees into reports.

Do I need direct database access to calculate trading platform revenue metrics?▼

Yes, calculating trading platform revenue metrics requires direct access to the platform's databases to query financial data using SQLAlchemy. This access is necessary to extract transaction records for processing revenue components.

Related Skills

Explore More Finance & Accounting Skills→
LeandroBenjaminLLeandroBenjaminL

database-connections

Connect to databases and manipulate data using SQLAlchemy and Pandas.

Community
Intermediate
keboolakeboola

revenue-analytics

Computes ARR breakdown, revenue waterfall, NRR, cohort analysis, forecast accuracy, and rep metrics.

Official
Advanced
aws-samplesaws-samples
38

financial-analytics

Analyze student financial data for tuition, payments, and scholarships.

Official
Intermediate
adrianweddadrianwedd
8

sales-dashboard

Displays revenue summaries, order status, and top products for a sales dashboard.

Community
Advanced