Algorithmic trading using Python: free resources to get you started

Finance is an interesting topic that can be a great starting point for learning to code. For example if you’re interested in learning more about algorithmic trading using Python, there are many free resources available online that can help you get started. In this post, I’ll be sharing a list of free videos that will teach you more than an expensive online course or a master’s degree in algorithmic trading.

There are many different ways that you can use code to analyze financial data, such as building a stock market simulation, creating a portfolio optimization tool, or developing a financial forecasting model. These projects can be challenging, but they are also very rewarding, as they allow you to gain an understanding of both coding and finance. Additionally, the field of finance has a lot of data available, which makes it an excellent domain for learning data analysis and visualization techniques.

If you are interested in learning to code and want to apply your skills to a real-world domain, finance is a great place to start.

What is Algorithmic Trading?

Algorithmic trading, also known as “algo trading” or “automated trading,” is a method of trading securities using advanced mathematical and computational techniques to make buy and sell decisions. In recent years, there has been a growing interest in using Python for algorithmic trading due to its popularity, flexibility, and large ecosystem of powerful libraries and frameworks.

Before you buy an expensive online course

Are you considering purchasing an expensive online course on how to code a trading bot in Python or learn about quant trading strategies? Before you invest your money, you may want to check out these free YouTube videos. They provide an excellent introduction to the concepts and techniques used in trading bot development and quant trading. They cover various aspects of the topic like the process of developing a trading bot using Python, the different types of bots available, the importance of backtesting, and how to use different libraries and frameworks. These videos will give you an idea of what you can expect to learn in a more comprehensive course and help you decide if it’s worth the investment or not. Enjoy the videos and learn without spending any money.

Free Resources

Note: the videos listed below are for educational purposes only. The information provided should not be construed as investment advice.

How to code a trading bot in python

Tutorial on building a trading bot using the popular programming language Python. The video provides a step-by-step guide on how to use Python to develop a trading bot from scratch.

Python for quant finance

Python is a powerful and versatile programming language that has become increasingly popular for quant finance applications and projects. One of the main reasons for its popularity is its ability to perform well in performance-intensive tasks, despite its ease of use and readability. The talk discussed in this context highlights how Python can keep up with performance-wise with competing languages, and how it integrates well with other technologies, particularly with performance technologies. This makes it a natural choice for implementing ambitious quant finance projects, as it allows for more efficient development and faster execution times. Additionally, the vast number of libraries and frameworks available in Python ecosystem can be leveraged to achieve different task in quant finance, which in turn can reduce the development time and increase efficiency.

Quantitative stock price analysis with Python, pandas, NumPy matplotlib & SciPy

This video is helpful to get you comfortable using Python and pandas to analyze stocks.

Estimating a risk factor model for a stock with live data

In this tutorial you will learn how to estimate the Fama French Carhart four-factor risk model exposures for an arbitrary stock using live data in Python. You will cover the process and common pitfalls of pulling in live data from the Fama-French risk factor database and running a factor sensitivity estimation using linear regression.

Stock price prediction using Python & machine learning

Here you will learn how to create an artificial neural network called Long Short Term Memory to predict the future price of stock.

Algorithmic Trading Using Python

This free online course goes through the implementation of 3 large quantitative finance projects.

How to create & test trading algorithm

Here you can learn how to develop a momentum strategy trading algorithm with Python.

Machine learning models of financial data

Interesting overview on using machine learning models to work with financial data.

How quant trading strategies are developed and tested

The video provides a comprehensive and easy-to-understand explanation of the process of developing and testing quant trading strategies, making it an ideal resource for anyone interested in learning more about this topic.

Algorithmic Trading Python 2023

This video is a full 3 hours tutorial on algorithmic trading in python: it starts from basic installation of python and anaconda all the way to backtesting strategies and creating trading API.

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