{"id":108573,"date":"2025-03-13T14:19:54","date_gmt":"2025-03-13T08:49:54","guid":{"rendered":"https:\/\/thepremiumcourse.com\/Shop\/pyquant-news-python-for-quant-finance-2\/"},"modified":"2025-03-13T15:08:44","modified_gmt":"2025-03-13T09:38:44","slug":"pyquant-news-python-for-quant-finance-2","status":"publish","type":"product","link":"https:\/\/thepremiumcourse.com\/shop\/pyquant-news-python-for-quant-finance\/","title":{"rendered":"PyQuant News \u2013 Python for Quant Finance"},"content":{"rendered":"
You know Python can help in a lot of ways:<\/strong><\/p>\n You know to unlock these goals, you need Python for data, analysis, and trading.<\/p>\n It\u2019s one thing to \u201clearn Python.\u201d But it\u2019s a completely different thing to use Python for quant finance.<\/strong><\/p>\n For many of us, getting started with Python is a mystery.<\/p>\n You know there is immense power at your fingertips, but you just can\u2019t quite figure out how to go from theory to practice.<\/p>\n Modules, IDEs, swaps, options, Jupyter, functions, automation, back testing, loops, classes, CVaR, Sharpe, list comprehensions, walk forward analysis\u2026<\/p>\n Module 1:<\/strong><\/p>\n Getting the Python Basics Right<\/p>\n If you\u2019re brand new to Python, you\u2019ll fast-track you\u2019re learning with exactly what you need to know\u2014no overwhelm, no complexity.<\/p>\n Module 2:<\/strong><\/p>\n The Python Quant Stack<\/p>\n Get familiar with the most important Python libraries for algo trading and data analysis\u2014Pandas\u2014so you can work with market data.<\/p>\n Module 3:<\/strong><\/p>\n Algorithmic Trading, Back testing, and Strategy Formation<\/p>\n Yes! Retail traders can compete. Get a framework to form trading ideas, test them, and get them executed.<\/p>\n Module 4:<\/strong><\/p>\n Treat Your Backtest Like an Experiment<\/p>\n Understand why most people get backtesting wrong\u2014and the secret of avoiding losing money because of a backtest.<\/p>\n Module 5:<\/strong><\/p>\n How to Engineer Alpha Factors with Python<\/p>\n Get the tools and techniques professional money managers use to manage portfolios and hedge away unwanted risk.<\/p>\n Module 6:<\/strong><\/p>\n Prototyping and Optimizing Strategies with VectorBT<\/p>\n Get working code to run millions of simulations with the cutting-edge VectorBT backtesting library.<\/p>\n Module 7:<\/strong><\/p>\n How to Backtest a Trading Strategy with Zipline Reloaded<\/p>\n Build factor pipelines to screen and sort a universe of 21,000+ equities to build and backtest real-life factor portfolios.<\/p>\n Module 8:<\/strong><\/p>\n Risk and Performance Analysis with PyFolio and AlphaLens<\/p>\n Get the code to quickly asses strategy risk and performance\u2014including factor performance\u2014and assess alpha decay.<\/p>\n\n