Certification Overview

This Level 1 program introduces participants to the foundations of systematic trading, risk management, backtesting, technical analysis and responsible AI-assisted research.

The program is educational. It does not provide investment advice, does not recommend securities and does not guarantee financial results. Trading involves a substantial risk of capital loss.

What the candidate achieves

• Understand the difference between discretionary trading and systematic trading.
• Document basic strategy rules, entry and exit conditions, risk parameters and review processes.
• Interpret basic technical indicators and apply them within a structured trading plan.
• Use spreadsheet and introductory Python workflows to understand backtesting metrics.
• Use AI tools responsibly for research, documentation and decision support without treating AI as a price-prediction engine.
• Develop a final educational project demonstrating a documented strategy and risk-control logic.

Who is this certification for?

• Professionals and students interested in understanding systematic trading from an educational perspective.
• Technology, finance, analytics or business professionals who want to learn structured decision-making workflows.
• Participants interested in using AI tools responsibly to support research, documentation and analysis.
• Beginners who want to understand risk management before using real capital.
• Training partners that require a structured Level 1 program with final project evaluation.

Competencies to be certified

• Market ecosystem fundamentals and systematic trading concepts.
• Candlestick reading, trends, supports, resistances and technical indicators.
• Strategy documentation, backtesting concepts and interpretation of performance metrics.
• Risk management, position sizing, drawdown awareness and stop-loss logic.
• AI-assisted research, prompt workflows and human validation of outputs.
• Project documentation, presentation and disciplined review.

Exam domains / assessment areas

Exam and assessment conditions

Candidate conditions

• The program is for educational purposes only and does not constitute financial, investment, tax or legal advice.
• EUD Academy and CertQA do not guarantee profitability, investment returns or trading performance.
• Participants should use demo environments and avoid risking capital while learning foundational concepts.
• AI tools must be treated as research and documentation support, not as autonomous trading decision makers.
• The final project assesses the participant’s documented process, risk awareness and ability to explain assumptions.