What You'll Learn
- Design and backtest AI-powered trading strategies using quantitative and machine learning techniques.
- Apply risk management frameworks including drawdown control, position sizing, and capital preservation principles.
- Use AI tools for crypto intelligence and investment research, including sentiment analysis, macro trend detection, and on-chain analytics.
- Identify and avoid common trading risks such as overfitting, model failure, flash crashes, and scam schemes.
- Build a professional quant or AI trading portfolio with documented strategies and performance metrics
- Develop a structured career and monetization roadmap for roles in quant trading, crypto analysis, or independent systematic investing.
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Aspiring quant traders who want a structured roadmap into systematic trading
- Crypto investors who want to move beyond speculation and adopt data-driven decision systems
- Data analysts or programmers looking to transition into AI trading or financial research
- Finance students who want practical exposure to algorithmic and AI-powered markets
- Professionals exploring careers in hedge funds, prop trading firms, or crypto intelligence roles
- Entrepreneurs interested in building AI trading tools, research services, or monetized trading systems
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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