7 small steps to start with algorithmic trading:
1. Start with Python
2. Learn to use VSCode
3. Take a pandas tutorial
4. Then a plotly tutorial
5. Make a portfolio with riskfolio
6. Make a backtest with vectorbt
7. Analyze performance with vectorbt
We want to help:
Factor investing is what made me stand out at JPMorgan.
But it took me years to master the information coefficient.
In 1 minute, I'll teach you the 10 things you need to know (that took me 1 year to learn).
Let's go:
Think Stats is an introduction to Probability and Statistics for Python programmers.
If you have basic skills in Python, you can use them to learn concepts in probability and statistics and practical skills for working with data.
Grab it:
https://t.co/p9s7pmlZZz
I spent $90,000 on a master's degree to learn math for finance.
These are the 16 most important stochastic processes for asset pricing (bookmark this thread for later):