Today we're going to do something a little different.

Instead of the usual Python tutorial, I thought I would list out 10 great YouTube videos. These videos walk through code that shows you how to use Python for algorithmic trading, market data analysis, and quant finance.

Each one is about 10 minutes.

I hope you enjoy!

Build a volatility factor strategy with 0.84 Sharpe

Python code to build and backtest a low volatility equity portfolio with cleaner drawdowns and improved risk-adjusted returns.

Create beautiful strategy tear sheets with Pyfolio Reloaded

You’ll use a few lines of Python to get the whole picture of a strategy’s performance.

Setting Up Interactive Brokers API with Python

Quickly use the IB API to automate your first trading strategy.

1,000,000 backtest simulations in 20 seconds with vectorbt

Using walk-forward optimization with VectorBT to optimize a trading strategy.

Build a powerful AI finance agent with Python

Python code to build an AI agent to write its own Python code to analyze stock price data.

Build a powerful AI to quickly read NVDA's financials

Use Python to leverage AI for financial analysis.

151 Trading Strategies with LangChain

Use Python and LangChain to read a PDF with 151 trading strategies.

A beginner's guide to gauging portfolio risk

Use Python to compute portfolio variance.

Improve your Sharpe ratio with a simple hedge

Download factor data and construct a hedge to manage risk.

Quickly compute Value at Risk with Monte Carlo

Simulate the equity curve of a portfolio of ETFs and compute the VaR using the Monte Carlo Method.