Trading with AI & Systematic Strategies

Trading education program

Trading with AI and Systematic Strategies – Level 1

A 40-hour introductory educational program focused on systematic trading foundations, risk management, backtesting, AI-assisted analysis, and disciplined decision-making.

40 hours 8 modules AI-assisted analysis Final project
Approved CertQA Trading with AI Strategies badge

CertQA Certified AI-Powered Systematic Trading Foundations

Validates foundational capability in structured market analysis, strategy rules, introductory backtesting, responsible AI use, and risk management.

40Training hours
8Learning modules
1Final project
DigitalVerifiable credential
Certification purpose

From trading intuition to structured evidence.

This certification is designed to validate whether a candidate can explain the logic of systematic trading, transform market ideas into rules, perform basic historical validation, use AI as a support tool, and apply risk principles before making operational decisions.

Important positioning

This certification validates responsible understanding and methodical capability. It is not a promise of trading profitability or investment returns.

Practical orientation

The pathway emphasizes rule-based thinking, introductory backtesting, risk control, and documented analysis rather than intuition-only decisions.

AI as an analytical assistant

Generative AI is used responsibly to support documentation, hypothesis generation, checklists, and structured improvement ideas.

Educational disclaimer

Educational, not investment advice.

This program is for educational purposes only. It does not constitute financial advice, investment advice, trading signals, or a promise of results.

01Methodology
02Risk
03Backtesting
04AI support
Program structure

8 practical modules for a systematic approach.

The course prepares candidates with a progressive journey from market context to strategy documentation and AI-supported improvement.

M1

Foundations of markets and systematic trading

Markets, instruments, trading styles, and the role of systematic approaches and AI in finance.

4h
M2

Risk management and capital preservation

Risk per trade, position sizing, stop loss, drawdown, and operational discipline.

4h
M3

Market structure and technical analysis

Candlesticks, trends, support/resistance, moving averages, RSI, MACD, VWAP, and structured reading.

6h
M4

Strategy rules and trading plan design

Rules for entry, exit, filters, confirmations, timeframes, and strategy documentation.

6h
M5

Backtesting principles and performance metrics

Win rate, drawdown, profit factor, expectancy, and introductory testing using Excel or Google Sheets.

8h
M6

AI-assisted research and decision support

Generative AI as a support tool for documentation, checklists, hypotheses, and improvement ideas.

6h
M7

Journaling, review and discipline

Emotional errors, review routines, evidence-based improvement, and disciplined execution.

4h
M8

Final project and presentation

Mini strategy with asset, logic, risk criterion, historical test, and AI-assisted improvement ideas.

2h
CertQA exam blueprint

Skills measured by the certification exam.

The certification exam should validate methodology and responsible understanding, not trading profitability. Recommended domains:

  • Global markets and core trading concepts
  • Technical analysis for systematic rules
  • Strategy design logic and documentation
  • Basic backtesting metrics and interpretation
  • Generative AI for analysis support
  • Risk management and operational discipline
  • Ethical and responsible use of educational trading tools
Credential
CertQA Certified AI-Powered Systematic Trading Foundations
Format
Objective assessment aligned to core competencies and responsible understanding.
Recommended training
40 hours
Delivery model
Training through EUD Academy + independent CertQA exam voucher.
Credential format
Digital verifiable certificate and badge.
Target audience

Built for beginners, professionals, and teams entering systematic trading.

This pathway is positioned for broad adoption while keeping the learning model rigorous and practical.

Beginner and intermediate traders

People who want to structure decisions and validate ideas before risking capital.

Finance and technology professionals

Analysts, engineers, economists, fintech teams, wealth management teams, and research professionals.

AI and finance enthusiasts

People interested in applying AI to market analysis responsibly and methodologically.

Required disclaimer

CertQA and EUD Academy should include a clear disclaimer: this program is educational and does not constitute financial, investment, legal, or tax advice. Trading financial markets involves risk and past performance does not guarantee future results.

Course + certification package

The recommended commercial offer can be structured as a training program delivered by EUD Academy plus an independent CertQA exam voucher. Candidates who pass the exam receive a verifiable CertQA credential.

Training provider
EUD Academy
Certification body
CertQA
Suggested bundle
Training + exam voucher + digital credential
Scroll to Top