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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 net worth of Ray Dalio, founder of Bridgewater Associates: $22,000,000,000 Bridgewater is one of the biggest hedge funds on Earth. How did it get so big? A portfolio strate...
We’re entering a new era of quantitative analysis. Where anyone can get big results with little effort. Want to build an analytics app? Here's 13 Python libraries to get you sta...
I've been using pandas since 2011. It's the most important tool for analysts working in Python today. If you're using Python, you need pandas. Here's the 7 tutorials I wish I ha...
Over the past 10 years, I've watched over 250 YouTube videos on quantitative finance. And the truth is, 99% of them were a complete waste of time. But these 8 are worth more than...
In 2012, my first options trade lost $9,000. 12 months later I was making $1,100 per week trading in my free time. What changed? I read 20 books on options and finished a master...
Python beginners all face the same 9 problems: Boredom Getting help No clear goal Overwhelmed Uncertain payoff Can't apply tutorials No idea where to start Get the job done with E...
Python has unlocked algorithmic trading for all traders and investors. But getting started can feel impossible. PyQuant News has been curating the best quant resources on the int...
Algorithmic trading is the domain of secretive hedge funds. Python has unlocked these secrets for everyone (even Goldman Sachs has an open source tool). Use the same tools the pr...
Turn $1 into $14,000,000. (You could have if you invested with Jim Simmons in 1988.) The most successful hedge fund ever, trading bots, and the 9 steps to build an automated trad...
My master's degree completely failed to teach me how to test trading strategies. So I spent 40 hours looking for Python backtesting libraries. Then I started using the best ones....
9 trading strategies everyone should know (with Python code):
Let's face it: Creating beautiful charts for financial data in Python is not easy. Axis formatting. Handling missing dates. Adding subplots. We need a better way. And now we ha...