TRAINING COURSE

AI for Finance: Development of Automated Trading Systems

STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎8 100 €
For finance professionals, traders, analysts, and developers seeking to leverage AI technologies in the development of automated trading systems. Whether you're a seasoned trader looking to enhance your strategies or a developer interested in integrating AI into financial applications, this course provides the knowledge and tools necessary to succeed in the fast-paced world of algorithmic trading.
Enhanced Trading Strategies
Increased Efficiency and Accuracy
Competitive Edge in the Market
Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Introduction to Automated Trading Systems
  • Market overview and history of trading systems development
  • Basic concepts and principles of automated trading systems
  • Pros and cons of automated trading
  • Examples of successful trading systems
Lecture 2:
Fundamentals of Machine Learning for Finance
  • Introduction to Machine Learning (ML) and its role in finance
  • Overview of key ML algorithms
  • Preparing data for ML
  • Evaluating model performance
Lecture 3:
Fundamentals of AI in Commerce
  • Introduction to AI and its application in trading systems
  • Neural Networks (NNs) and Deep Learning (DL)
  • Developing predictive models for trading
  • Examples of AI applications in trading
Lecture 4:
Data Analysis and Technical Analysis
  • Data analysis tools and techniques for trading
  • Technical analysis and its application in automated systems
  • Creating trading indicators and strategies based on data analysis
Lecture 5:
Quantum Strategies and Algorithmic Trading
  • Introduction to quantum trading and algorithmic strategies
  • Developing and testing quant strategies
  • Risk management and portfolio optimization
Lecture 6:
Programming Trading Systems
  • Fundamentals of trading systems programming
  • Platforms for trading robots development
  • Integration with trading platforms and brokers' APIs
Lecture 7:
Testing and Optimization of Trading Algorithms
  • Methods and tools for testing trading strategies
  • Optimizing strategy parameters
  • Understanding and managing overtraining
Lecture 8:
Legal and ethical aspects of automated trading
  • Regulation of the market and automated trading systems
  • Ethical considerations in automated trading
  • The future of automated trading systems and AI in finance
Practical Session 1:
Developing a basic trading strategy
  • Creating and programming a simple trading strategy in Python
  • Connecting to the trading platform via API
  • Testing the strategy on historical data
Practical Session 2:
Applying ML to create a predictive model
  • Collecting and preparing data for model training
  • Training the model based on selected ML algorithms
  • Integrating the model into a trading strategy and testing it
Practical Session 3:
Optimization and Risk Management
  • Applying optimization techniques to improve strategy parameters
  • Analyzing risks and implementing risk management mechanisms
  • Stress-testing a strategy under different market conditions
Practical Session 4:
Launching the trading system in real time
  • Preparing for launching the trading system in a real trading environment
  • Monitoring and analyzing the system performance in real time
  • Evaluating the effectiveness and adjusting the trading strategy based on the obtained data
What kind of result will you get
Participants will emerge from the course with the ability to develop and implement AI-driven automated trading systems. This equips them with a competitive advantage in the finance industry, opening up opportunities for lucrative careers as quantitative analysts, algorithmic traders, and financial engineers. Additionally, their contributions to integrating AI in finance drive innovation and efficiency in trading practices.
Student feedback on the course
A solid course indeed! Practical skills in AI-driven trading systems are invaluable.
Arjun Vasiliev
The content was comprehensive. It provided useful insights into AI techniques for finance.
Zlata Kovač
Impressive hands-on experience with trading algorithms. Boosted my confidence in AI-powered finance.
Stanislav Pavić
Good value for the investment. It gave me a competitive edge in the finance industry.
Tatjana Lukić
Highly beneficial course. Practical knowledge acquired opens doors to exciting career opportunities in finance.
Dmitrije Kovačević
What you will get after the course
  1. Expertise in AI for Finance: Participants gain proficiency in developing automated trading systems using AI techniques.
  2. Practical Skills: The course provides hands-on experience in designing and implementing trading algorithms.
  3. Competitive Edge: Graduates possess a competitive advantage in the finance industry.
  4. Career Opportunities: Completion opens doors to roles like quantitative analysts and algorithmic traders.
  5. Innovation: Participants contribute to finance by integrating AI for more efficient trading practices.
Official school certificate
Recordings of all lectures
10% discount on any of our courses
Price without discount 9 000 €
8 100 €
Course fees
If you register early (over a month prior to the beginning of the course), you will receive a 10% discount on the entire program.
Register for the course and get 10% off!
Fill out the form and we'll send you a confirmation email.
"Cosmopolitacademy" LLC
264.110.1320023
TIN: 08256519
Komitas 19/1, Erevan, Armenia