As markets become more technology-driven, the use of algorithmic trading which is also known as algo trading has surged in popularity. The industry is fast-paced and traders along with developers have to stay constantly up to date with the ever-changing trends, strategies, and inventions. For those who are interested in the world of algo trading, here are some of the best websites and blogs that we have gathered that will help you with enhancing your knowledge.
1. QuantInsti
Why Follow?
As one of the foremost institutions in Algotrading & Quantitative Trading education, QuantInsti has plenty of resources to share. So whether you are looking for some articles or webinars or courses – they have it all for you. They have everything ranging from trading strategies, Python programming to financial modeling.
Key Features:
Easy to follow instruction for new comers along with advance trading tutorials. Informative how-to guides such as the Quantra platform.
Staying up to date with developments in the industry.
Best For:
Individuals seeking detailed courses and tips for algo trading.
2. Quantitative research and trading blog by ernest chan
Why Follow?
Ernest Chan is a famous quantitative trader and an author who has a blog where he shares his knowledge on algorithmic trading, machine learning and backtesting and gives useful tips to beginner traders.
Key Features:
Offering an extensive scope covering trading strategies and looking at their practical implementation.
Step by step instructions on how to create a trading system.
Explaining the use of statistical arbitrage and machine learning models.
Best For:
Individuals who are experienced traders with skills in quants and want to gain a better understand on quantitative strategies.
3. QuantStart
In what way is it worth following?
QuantStart is the one-stop solution for all dummies who seek help on algorithmically automated trading and financial modeling.
Key Features:
Trading systems are developed with the help of easily understandable step-by-step guides.
The reader is now given ample information on probability and statistics.
There are articles that advocate for attended earning for quantitative professionals.
Best For:
This is good for aspiring quants and traders who are aiming to boost their technical skills.
4. Alpha Architect
In what way is it worth following?
Alpha Architect is a good source for narrowing research to quantitative issues such as remodeling and developing systematic trading plans.
Key Features:
Considering investment or funding is only based on facts, not gut feeling.
Very useful topics addressing behavioral finance and weaknesses in the market are available.
There is information on latest developments and studies in the market.
Best For:
Anyone who is into investing and systematic trading would like to employ academic research proven strategies.
5. The Trading Strategy Blog
In what way is it worth following?
The trading strategy blog provides the readers with the convenience to easily access the research and analysis of any target in the form of a thesis.
Key Features:
Aology of follow order Puma pages offering Python and R trading algo.
Puma capabilities allow durability examining and risk safeguarding tools.
Examples and comments of adopted trading strategies are available.
Best For:
Any trader interested in more of writing code and developing strategies would benefit from this.
6. QuantLib
In what way is it worth following?
Quantlib is the most popular free library for every quantitative who wants to explore deeper insights into finance. QuantLib web page will allow you to see what’s new in algorithmic trading.
Key Features:
Elaborate discussions on management of pricing, risk, and simulation models.
Insightful contributions from quants and other developers across the globe.
Emphasis on software tools and equipment for financial engineering.
Best For:
Developers and quantitative traders who have very strong technical expertise.
7. R-bloggers
Why Follow?
R-bloggers is a platform that discusses all things about R programming language for data science and finance including algorithmic trading in different perspectives.
Key Features:
Provides tutorials on implementing trading strategies and data analysis in R.
Uses real-life examples on trading and portfolio management.
Provides free access to numerous blogs written by authorities on their subject matter.
Best For:
R programmers who want to further comprehend the application of the language in finance and other quantitative fields.
8. Medium – Algo Trading and Quantitative Finance Sections
Why Follow?
Medium is a popular platform which hosts numerous articles from independent traders, quants and other finance professionals.
Key Features:
A fusion of beginners and professionals in matière of algorithms for trading.
They provide information on topics dealing with machine learning, data analysis, and trading.
They use a community approach towards sharing knowledge.
Best For:
Seeking readers who are interested in algo trading across various niches and from different angles.
Quantitative Finance Stack Exchange
Why Follow?
Quantitative Finance Stack Exchange is a platform where professionals and learners come together to discuss quantitative aspects of finance and trading in a question-and-answer format.
Key Features:
Diagnosing and debugging events in algo trading systems.
Conversations on high level mathematics, models and coding.
Insights contributed by users regarding that
Best For:
For those traders who wish to get quantitative answers and solutions from other traders.
9. Interactive Brokers Traders’ Insight Why Follow?
Interactive Brokers offers a blog dedicated to market analysis, new strategies of trading, and other relevant topics.
Key Features:
Provide expert views on current state of the markets as well as practices on algo trading.
Provides traders with news and insights around the clock.
Provides access to international markets and trading platforms.
Best For:
Traders who are active and use brokerage platforms for automatic trading.
Conclusion
The ability to get new information is crucial as the world of algorithmic trading is developing rapidly. Blogs and websites that have been mentioned above are more or less educational, provide some market or technical information for both novice and experienced traders.
This will help you improve your strategies, learn about new trends and innovations and make sure that your trading decisions are really well thought-out and backed with adequate research and reasoning.
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