Generally, a quant is a professional in the financial technology industry who designs complex algorithms with the help of quantitative analysis. Quants are skilled in mathematics, finance and computer skills - a blend which is rare. In the trading domain, quants design and implement the algorithms to predict the price.
To find the information that has quality is most important here because it is the information that helps to add value to our knowledge. That is why we have done a thorough research and have compiled a list of websites in which a quant would like to invest their time and efforts in. The websites are divided into four categories for maintaining ease with regard to navigation. The categories are as follows:
First and foremost, we have the list of websites that consist of the most informative blog articles for quants. Hence, the reason the websites we are going to see below exist with a good fan following for their blogs.
How do I know about their fan base? Well, being in the industry I spoke to some quants who helped me with their favourite websites for reading blog articles. And they are:
Quantocracy is a curated mashup of algorithmic and quantitative trading blogs that aggregates some of the best articles available on the internet. They feature lots of thought-provoking and insightful articles in the quant trading domain. Quantocracy is followed by a huge community of traders and is considered one of the best in business.
Under the ‘Quant Mashup’ section, you can see some of the top-ranked blogs by the readers which will help you narrow down your search to some freely available quantitative trading strategies.
A famous practitioner and author, Dr. E. P. Chan is the Managing Member of QTS Capital Management, LLC. He is also a faculty member at QuantInsti for the EPAT programme and a popular financial blogger.
The trading community looks up to him and he is a role model for most of the aspiring algo traders out there. What better way to learn from him than his own website that covers information on the algorithmic trading platform, book reviews, posts on factor models and trading strategies.
We are a research and training institute with an aim to foster financial market professionals for the field of quantitative and algorithmic Trading.
Our blog page is best known for its high quality content, detailed summary of selected trading strategies drafted by market experts and a huge follower base.
The articles on our blog page are based around the broad level of categories including career advice, downloadable trading strategies, getting started with algorithmic trading, news, programming & trading tools, Python trading platforms, project work, webinars and much more.
Moreover, for quants, there are more than 141 blog articles related to trading strategies to help with strategy creation for different markets (forex, stock etc.). You can also check our Project Work EPAT™ category to access the collection of project work published by the students and alumni from their EPAT™ programme.
For creating your quantitative trading strategies, this website gives you blogs with the strategy ideas to make use of. With an amalgamation of all well-researched blog articles, this website brings you the best of quantitative trading strategy ideas.
So, what can you do with the quantitative trading strategy ideas? You can formulate and backtest these trading strategies. Further, you can carry out your own optimization procedure.
Founded in 2012 by Michael Halls-Moore, QuantStart provides educational resources for potential and practising quantitative analysts.
With over 200 tutorials and three highly popular textbooks, it is very rare for any quant to not follow this portal.
This is one of the areas in which QuantStart excels. Some of the most popular categories of articles include algorithmic trading, quant reading list, machine learning, time series, and python implementation.
Wholly owned by IAC (NASDAQ: IAC), Investopedia is the largest financial education website in the world. Like the name says, it is the encyclopedia of the finance industry. Investopedia has a vast number of articles on anything and everything related to finance and stock trading and is the go-to destination for investors who want to make smarter financial decisions. With a squad of data scientists and financial experts by its side, Investopedia offers trusted financial information for its 30+ million monthly visitors.
Started by a professor named Sandeep Jain at JIIT Noida, geeksforgeeks is a well-known computer science portal. Here you can find the answers to questions related to programming, algorithms, data structures and interview preparation material. The website is divided into different categories for delivering information and the blogs serve the purpose well.
Created in 2008 by Jeff Atwood and Joel Spolsky, Stack overflow is a question answer community for programmers but has some very informative and interesting blog articles as well. They have a collection of blog articles on different topics relating to computer languages, technology professionals, use of programming languages in medicine etc.
Question and Answer communities for programmers
Stack Exchange is a network of 177 communities that are created and run by experts and enthusiasts who are passionate about a specific topic. Also, they build libraries of high-quality questions and answers, focused on each community's area of expertise.
One thing most important to note is that they are not a community for “chit-chatting” or in simple words, they are not up for discussions. Instead, they believe in the straightforward approach of asking questions and a group of people replying to the answer. The best answers reach the top and the person who asked the question can mark one answer that works for him/her as the “accepted” one.
Quora is an American question-and-answer website where questions are asked, answered, followed, and edited by internet users. Although there are a lot of topics on which the internet users can access Quora, programming is one of them.
Now, we move on to websites that offer some quality research papers based on topics related to Algorithmic and Quantitative trading. Some original work coming from credible resources is the real treasure for a quant.
Quantpedia is known as the encyclopedia of quantitative trading strategies. They have thousands of financial research papers listed on their website.
With a mission to process financial academic research into a more user-friendly form to help anyone who seeks new quantitative trading strategy ideas, they have 70 freely available strategies.
SSRN was founded in 1994 by two financial economists named Michael Jensen and Wayne Marr. They have a number of specialised research networks On the basis of number of PDF files, backlinks and Google Scholar results, in January 2013, SSRN was ranked the biggest open-access repository in the world by Ranking Web of Repositories (an initiative by Cybermetrics Lab).
Arxiv is an open-access repository of electronic preprints and postprints (known as e-prints) approved for posting after moderation, but not peer review. It consists of scientific papers in the fields of mathematics, electrical engineering, computer science, statistics, mathematical finance, economics, etc. All the research papers can be accessed online as they are available with open-access.
ResearchGate is a European commercial social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. While reading articles does not require registration, people who wish to become site members need to have an email address at a recognized institution or to be manually confirmed as a published researcher in order to sign up for an account.
Self-paced learning portals
By now, you already have a tremendous amount of websites in your knowledge bank. Let us find some free courses available online with some of them giving you hands-on-experience on algorithmic trading techniques.
Quantra® is an e-learning portal that specializes in Algorithmic & Quantitative Trading. Quantra offers self-paced courses that are a mix of videos, audios, presentations, multiple choice questions and highly interactive exercises.
Quantra has been highly appreciated for all the good reasons, including high quality courses released by them that will support your journey to become a successful Algo trader. Not to forget the ‘Mean Reversion Strategies in Python’ which is authored by Dr. E. P. Chan
Some of the free courses available on Quantra are:
Founded by Stanford professors Andrew Ng and Daphne Koller, Coursera is a venture-backed, education-focused technology company that offers online courses in various domains.
They have some amazing courses that can also help you get online certification. I recently discovered that you can sign-up and enjoy the 7-day free trial account where most of the courses will be unlocked for you.
Here is a list of some of the relevant courses that you can access in the 7-day free trial account:
The course is designed for investors and money managers who want to acquire the skills required to design their own trading strategies.
This course will provide you with eight ready-made trading strategies that are based on rigorous academic research. This course will also help you design your own trading strategy, backtest it and measure the performance. The learner will also be taught scientific ways of back testing without succumbing to either look ahead (or) survival bias.
In case you are an investor or a money manager and are looking to develop skills that can help you develop and test your own trading strategies in emerging markets then this is the course for you.
Also known as OCW, it is a web publication of most of the MIT course content. Anyone can freely access the content.
They have two freely available courses available on their website:
This course will help you to learn how to make good investment-related decisions by acquiring in-depth knowledge of analytical thinking, mathematical derivation, and financial markets.
This one helps undergraduate and graduate students with the mathematical concepts and techniques used in the financial industry.
A number of websites are available online for quants but there are few which make it to the best rated category. Different websites cater to the knowledge of the quants in form of blog articles, research papers, courses, question and answers communities and market data sources.
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