About This Webinar
Learn how to use Python to analyze financial data, build trading strategies, and automate your trading decisions. This hands-on webinar will take you from basic concepts to creating your first working trading algorithm. No prior Python experience required!
What You'll Learn
- ✓Set up Python environment for financial data analysis
- ✓Fetch and process real-time market data using APIs
- ✓Create simple trading indicators (Moving Averages, RSI, MACD)
- ✓Build and backtest a basic momentum trading strategy
- ✓Understand risk management principles
- ✓Deploy your first automated trading bot
Agenda
Introduction & Setup
Overview of Python for trading, installing required libraries, and setting up your development environment.
Data Acquisition
Learn to fetch historical and real-time market data using popular APIs like yfinance and Alpha Vantage.
Technical Indicators
Build common trading indicators from scratch and understand when to use them.
Strategy Development
Create a complete trading strategy with entry/exit rules and position sizing.
Backtesting & Deployment
Test your strategy on historical data and learn deployment best practices.
Q&A Session
Open discussion and answers to your questions.
Topics Covered
Speakers
Dr. Sarah Mitchell
Quantitative Trading Expert & Python Developer
10+ years of experience in algorithmic trading at top hedge funds. Creator of popular open-source trading libraries with 50k+ GitHub stars.
Who Should Attend
- •Aspiring algorithmic traders with basic programming knowledge
- •Retail investors looking to automate their trading strategies
- •Data scientists interested in financial markets
- •Software engineers exploring fintech opportunities
- •Students studying finance or computer science
Prerequisites
- •Basic understanding of stock market concepts (stocks, orders, etc.)
- •Computer with internet connection
- •Willingness to learn Python (no prior experience needed!)
- •Optional: GitHub account for accessing code repositories