Basics of Automated Trading & Quantitative Investing
Course Content:
- Stock Market Basics: Market structure, trading mechanisms, and tools
- Quantitative Stock Selection: Using financial and technical indicators
- Automated Trading Strategies: Momentum and mean-reversion in stock markets
Target Audience:
Individuals or teams new to quantitative investing or automated trading
Highlights:
Start from scratch and learn to develop automated trading systems with real-world stock trading examples
Advanced Algorithmic Trading & AI Modeling
Course Content:
- Deep learning and reinforcement learning in stock trading
- High-frequency trading strategies and arbitrage model development
- Data Science Practice: Data cleaning, feature engineering, and AI prediction modeling
Target Audience:
Quantitative analysts and professional traders interested in mastering AI modeling techniques
Highlights:
Develop and optimize intelligent trading strategies using stock market data
Elite Stock Trading Course
Course Content:
- Technical Analysis: K-lines, Bollinger Bands, MACD, and more
- Investment Styles: Short-term, swing, and long-term strategies
- Practical Trading: Real-time practice on simulation platforms
- Stock Derivatives: Trading strategies and risk management for options and futures
Target Audience:
Individual investors and asset management teams focused on stock trading
Highlights:
Combine technical and fundamental analysis to form a complete stock investment strategy
Risk Management & Trading Psychology
Course Content:
- Risk Management Tools: VaR, stress testing, and dynamic hedging
- Market Risk Management: Volatility management and position control
- Investment Psychology: Practical methods to avoid decision-making biases
Target Audience:
Independent traders and finance professionals focused on risk control
Highlights:
Theory and practice combined to help make rational decisions in high-risk markets
Capital Markets & Derivatives Trading
Course Content:
- Stock Market Dynamics: Global market trends and industry analysis
- Derivatives Trading: Options, futures, and their application in stock markets
- Global Stock Markets: A-shares, U.S. stocks, Hong Kong stocks trading comparison
Target Audience:
Asset management firms, investment bankers, and senior traders
Highlights:
Learn the real-world application of complex financial tools through case studies
FinTech & Digital Transformation
Course Content:
- FinTech Basics and Future Trends: AI, blockchain, and cloud computing
- Digital Transformation in Stock Trading: From traditional to smart trading systems
- Digital Strategies for Financial Institutions: Implementation and challenges
Target Audience:
Financial executives, tech entrepreneurs, and finance professionals
Highlights:
Explore how technology is transforming stock trading and financial services
Portfolio Management & Asset Allocation
Course Content:
- Role of Stocks in Asset Allocation: Building high-return, low-risk portfolios
- Global Asset Allocation: Cross-market, cross-asset investment strategies
- Active vs. Passive Investing: Optimizing portfolios with ETFs and funds
Target Audience:
Wealth managers, private bankers, and individual investors
Highlights:
Use case studies to master the scientific method of asset allocation
Industry Seminar: AI in Finance & Future Trends
Course Content:
- AI Reshaping Financial Services: Robo-advisors and automated trading case studies
- Frontier Technologies: Potential impacts of quantum computing and blockchain on finance
- Future of Automated Trading: From system development to intelligent application
Target Audience:
Researchers, executives, and FinTech developers interested in industry trends
Highlights:
Expert-led discussions on the latest trends in the financial industry
