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Full Course.
Python for Traders Masterclass
Learn Python from scratch to build and backtest your own trading algorithms with this comprehensive course.
Course Overview:
8 Modules covering fundamentals to advanced topics
4 Hands-on Projects for real-world application
105 Lessons packed with actionable insights
248 Code Examples to solidify your learning
34 Hours of in-depth video content
What You’ll Learn:
Python basics and key libraries for finance (Pandas, NumPy, Matplotlib, Statsmodels, Scikit-learn)
Handling and analyzing financial time series data
Coding, testing, and optimizing trading algorithms
Automating data collection from APIs and websites
Applying fundamental data analysis and natural language processing (NLP)
Pricing options and derivatives using models like Black-Scholes and Monte Carlo simulations
Fundamentals of high-frequency trading (HFT) and market making strategies
Projects Included:
Backtest a realistic trading algorithm using QuantConnect
Build a volatility surface analysis tool
Design and simulate a limit order book
Capstone project: Develop a simple HFT market-making bot
This masterclass is designed for traders, quants, and finance professionals eager to leverage Python programming to gain an edge in trading and investment analysis. Whether you’re a beginner or experienced coder, this course will guide you through the essentials and advanced techniques to confidently develop your own trading systems.