PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

9 Tweets 6 reads Jan 28, 2023
Everyone that wants to get started with Python should be able to.
The problem?
Most people don't know where to start.
Here are 6 steps that might help you get started.
1/ Learn the basics of Python
This includes understanding data types, control flow, and basic functions and libraries.
2/ Get familiar with the Python Quant Stack
NumPy, SciPy, and pandas are commonly used in quant finance and are essential for data manipulation and analysis.
3/ Learn to visualize data
pandas, Matplotlib, and Seaborn are commonly used to create visualizations and charts of financial data.
4/ Learn about the rest of the Python Quant Stack
Pyfolio, Backtrader, and QuantStats are popular libraries used in quant finance and algorithmic trading.
5/ Get data
There are many sources of financial data available, such as Quandl, Yahoo Finance, and FRED.
The best?
The OpenBB SDK
6/ Practice
Start by defining the outcomes you want and work backward from there. As you become more proficient, you can move on to more complex projects, such as building a trading algorithm.
Some of the other skills that will help you along the way:
• Statistics
• Optimization
• Linear algebra
The FREE 7-day masterclass that will get you up and running with Python for quant finance.
Here's what you get:
• Working code to trade with Python
• Frameworks to get you started TODAY
• Trading strategy formation framework
7 days. Big results.
pythonforquantfinancemasterclass.com

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