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Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
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The quant finance starter pack: Markets: β’ Participants β’ Interest rates β’ Microstructure Stats: β’ Probability β’ Regression β’ Time series analysis Math: β’ Calculus β’ Matrix m...
Introducing Getting Started With Python for Quant Finance. A cohort-based course and community that will take you from complete beginner to up and running with Python for quant fi...
My PhD professors taught me MATLAB during my master's degree. So I watched 200 YouTube videos to learn Python 96% of them were a complete waste of time. But these 8 taught me mo...
When learning Python, have a clear goal in mind: β’ Replace Excel β’ Get a new job β’ Become a quant β’ Make more money β’ Automate daily tasks β’ Level up your knowledge β’ Trade stocks...
Hedge fund managers earn billions of dollars. Their fees are 2% of total assets under management and 20% of performance. The fee to own the ETF that tracks the S&P 500 is 0.2% of...
The 9 most popular PyQuant News threads of all time (that everyone should see):
Blogs are ok. But nothing beats a good book. The 7 must-have books everyone using Python for algorithmic trading needs to know:
Professional options traders donβt bet that stocks will go up or down. Rookies do that. They look for mispricings in the market. Hereβs how to start trading like a pro with GARC...
Jupyter Notebook is the most powerful tool Python developers have. But most people donβt know the hidden features. Need a quick web app? Or to create REST APIs? Here's the 6 wa...
A Bloomberg Terminal costs $27,660 per year (raising to $30,000 in 2023). It's the portal to all the world's financial data. Reserved for the Wall Street elite to outfox the norm...
Python and Excel: Use them together and you have a potent combination for working with data. Here are the 17 Python libraries to help you unlock the power.
College completely failed to teach me data analysis outside Excel. So I spent over 5,000 hours learning Python. Then, I picked the 16 best libraries for machine learning and data...