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Jan 5 • 12 tweets • 4 min read
My Ph.D. professors taught me MATLAB during my master's degree.

So I watched 200 YouTube videos to learn Python

96% of them were a complete waste of time.

But these 8 taught me more than all my Ph.D. professors combined.
Algorithmic Trading Using Python

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

Quantitative Stock Price Analysis with Python

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

How to Create & Test Trading Algorithm in Python

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

Python for Quant Finance

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

Algorithmic Trading in Python

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.

How to Code a Trading Bot in Python

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

Stock Price Prediction Using Python & Machine Learning

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.

Estimating a Risk Factor Model for a Stock with Live Data

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.

And I have 1 more thing for you.

If you like Tweets about getting started with Python for quant finance, you might enjoy my weekly newsletter: The PyQuant Newsletter.

Join 10,000+ subscribers.

Python code for quantitative analysis you can use.

pyquantnews.com/the-pyquant-ne…
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Crush imposter syndrome.

Get out of Tutorial Hell.

Go from beginner to up and running with Python for quant finance in 30 days.

• Community
• Frameworks
• Live sessions
• Special guests
• Jupyter Notebooks

January cohort is open - limited spots.

…gstartedwithpythonforquantfinance.com

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More from @pyquantnews

PyQuant News 🐍 Profile picture
Jan 5
On January 15, 234 people will join the January cohort of Getting Started With Python for Quant Finance.

There's only 10 days left to grab one of the last 16 spots.

Here's everything you unlock when you join:
First, the 🤯 improvements for January:

• 10 CPE credits for CFAs
• Last cohort with FREE lifetime access
• NEW affiliate program that can make you $
• 30 Jupyter Notebooks (10 MORE than November)
• Uses the OpenBB SDK for data through the course

And more!

Let's dive in!
🎥 10 Live Sessions (with lifetime access to the recordings)

From installing and configuring the Anaconda Distribution, to assessing and backtesting real trading strategies, to executing live trades with Python. I cover it all in 10 Live Sessions.
Read 18 tweets
PyQuant News 🐍 Profile picture
Jan 4
If you use it right, Twitter is the most powerful platform in the world.

Unfortunately, most people get lost in the noise.

Here are 8 threads for Python and quant finance to get you started today (#4 is a game changer):
Level the playing field with the pros.
The 8 YouTube videos that will outperform your Ph.D. professors.
Read 12 tweets
PyQuant News 🐍 Profile picture
Jan 2
Non-professional traders need a way to measure risk.

The problem?

Most people don’t know where to start.

Use Python to measure risk like the pros with CVaR:

↓
First, get construct portfolio returns.

Here I use random weights as an example.
Then, compute the conditional value at risk.
Read 6 tweets
PyQuant News 🐍 Profile picture
Jan 1
8 courses to learn Python for FREE everyone should see:
An Introduction to Interactive Programming in Python (Part 1)

Coursera

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications.

coursera.org/learn/interact…
An Introduction to Interactive Programming in Python (Part 2)

Coursera

In part 2, We will introduce more elements of programming (such as list, dictionaries, and loops)

coursera.org/learn/interact…
Read 12 tweets
PyQuant News 🐍 Profile picture
Dec 29, 2022
Quants use principal component analysis to find alpha.

Blackrock uses it to manage $100s of billions in factor funds.

Northfield uses it to earn $10s of millions selling factors to investors.

Here’s how it’s done.

In a few lines of Python:
By reading this thread, you’ll be able to:

1. Get stock data
2. Fit a PCA model
3. Visualize the components
4. Isolate the alpha factors

But first, a quick primer on PCA if you’re unfamiliar:
PCA is used in many ways including signal processing, image recognition, and of course quant finance.

PCA:

• Isolates factors that drive returns
• Explains the variance in a dataset
• Used for factor investing and risk management

Let’s dig in!
Read 17 tweets
PyQuant News 🐍 Profile picture
Dec 28, 2022
The most common question I get:

Where do I find trading strategies?

These 10 books will give you 100s:
Algorithmic Trading by Ernie Chan

A number of interesting strategies to try out and backtest. Explains the basic concepts behind the existence of different types of market behavior and how to capture them.

amzn.to/3BvUy0z
Mechanical Trading Systems by Richard Weissman

Great book for strategies. Covers a plethora of momentum and mean reversion strategies on multiple time frames, along with backtested results.

amzn.to/3UOQW0d
Read 14 tweets

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