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 a 4-year degree:

Algorithmic Trading Using Python (4.5 hours)

Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions.

https://t.co/RLk1yKCMaQ
Quantitative Stock Price Analysis with Python (25 minutes)

We look at some quantitative analytical methods of stock price changes using Python and pandas.

https://t.co/QXvOcUW3Ok
How to Create & Test Trading Algorithm in Python (20 minutes)

Learn how to download and manipulate data then develop a momentum strategy trading algorithm with Python.

https://t.co/o3VmfdiJgM
Python for Quant Finance (50 minutes)

The talk discusses and illustrates why Python might be the right choice for implementing ambitious quant finance applications and projects.

https://t.co/fJrVneD2b5
Algorithmic Trading in Python (3 hours)

The video is a full tutorial which starts from basic installation of python and anaconda all the way to backtesting strategies and creating trading API.

https://t.co/400cebTNe4
How to Code a Trading Bot in Python (20 minutes)

In this video, we are going to code a python trading algorithm in the QuantConnect platform.

https://t.co/E7ODuxDzEh
Stock Price Prediction Using Python & Machine Learning (50 minutes)

In this video, you will learn how to create an artificial neural network called Long Short Term Memory to predict the future price of a stock.

https://t.co/LE30mJNXTJ
Estimating a Risk Factor Model for a Stock with Live Data (60 minutes)

In this tutorial, we will learn how to estimate the Fama French Carhart four-factor risk model exposures for an arbitrary stock using live data in Python.

https://t.co/LtIpqnjR0H
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Python code for quantitative analysis you can use. Always 4 minutes or less.

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PyQuant News writes about resources for using Python for quantitative and data analysis.

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