My master's degree completely failed to teach me Python for quant finance (they taught me MATLAB).
So I watched 200 YouTube videos.
And the truth is, 96% of them were a complete waste of time.
But these 8 taught me more than all my PhD professors combined:
So I watched 200 YouTube videos.
And the truth is, 96% of them were a complete waste of time.
But these 8 taught me more than all my PhD professors combined:
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.
youtube.com
Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions.
youtube.com
Quantitative Stock Price Analysis with Python (25 minutes)
We look at some quantitative analytical methods of stock price changes using Python and pandas.
youtube.com
We look at some quantitative analytical methods of stock price changes using Python and pandas.
youtube.com
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.
youtube.com
Learn how to download and manipulate data then develop a momentum strategy trading algorithm with Python.
youtube.com
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.
youtube.com
The talk discusses and illustrates why Python might be the right choice for implementing ambitious quant finance applications and projects.
youtube.com
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.
youtube.com
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.
youtube.com
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.
youtube.com
In this video, we are going to code a python trading algorithm in the QuantConnect platform.
youtube.com
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.
youtube.com
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.
youtube.com
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.
youtube.com
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.
youtube.com
And I have 1 more thing for you.
If you like Tweets like this, you might enjoy my weekly newsletter: The PyQuant Newsletter.
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Python code for quantitative analysis you can use. Always 4 minutes or less.
pyquantnews.com
If you like Tweets like this, you might enjoy my weekly newsletter: The PyQuant Newsletter.
Join 4,500+ subscribers.
Python code for quantitative analysis you can use. Always 4 minutes or less.
pyquantnews.com
PyQuant News helps you get started with Python for quantitative finance.
There are a few things you can do:
β’ Reply to this thread with any questions
β’ Follow me @pyquantnews for more of these
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There are a few things you can do:
β’ Reply to this thread with any questions
β’ Follow me @pyquantnews for more of these
β’ RT the tweet below to share this thread with your audience
If you like Python for quant finance, check out the 46-Page Ultimate Guide to Pricing Options and Implied Volatility With Python.
Here's why:
β’ Black-Scholes, the greeks, and implied volatility
β’ Jupyter Notebooks with the code
β’ Live options data
pyquantnews.gumroad.com
Here's why:
β’ Black-Scholes, the greeks, and implied volatility
β’ Jupyter Notebooks with the code
β’ Live options data
pyquantnews.gumroad.com
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