PyQuant News 🐍
Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
عرض في 𝕏سلاسل التغريدات
Quants ❤️ statistical arbitrage. Pairs trading is a great way to get started with algorithmic trading. Here’s how to build a pairs trading strategy in Python. Step by step:
373 people joined Getting Started With Python for Quant Finance. What they say: "Gave me the materials I needed with a mentor to guide me along the way to achieve my end goal of...
Portfolio managers talk a lot about alpha. But to find alpha, they hedge beta. Here’s how with Python:
Introducing the FREE masterclass to get you up and running with Python for quant finance: • Proven trading strategy framework • Quant code to assess, backtest, and trade with Pyth...
The 19 rules of trading everyone should live by:
Finance is more exciting than a blockbuster thriller. But most people don't know where to look for the best stories. Here are 7 books you probably know nothing about:
Returns are not normally distributed. Why do your metrics assume they are? The Omega ratio considers the full distribution. Here’s how in Python:
Finance Database 300,000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies, and Money Markets. Get it for free:
Jupyter Notebook is the most powerful tool Python developers have. But most people don’t know the hidden features. Need a quick web app? Or to create REST APIs? Here's the 6 wa...
Everyone talks about alpha. Clients pay a lot of money for it. Fund managers hire Ph.D.s to find it. But before you can have alpha, you need to hedge beta. Here’s how you can do...
Want to get started with Python for quant finance? Set up your own custom quant lab. Start with these 14 (free) Python libraries:
Jane Street, Man Group, and Goldman Sachs all have one thing in common. They have teams of people managing internal data. Get started building your own quant database: