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Market Overanalysis Is Detrimental To Success

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The more discretionary and quant traders try to analyze market price action, the higher the chances of failure. This may sound counter-intuitive because it contradicts the common belief that the more one tries to achieve a goal, the higher the chances of success. But this is not how things work in the markets. Confirmation bias is a primary cause of failure of discretionary traders. Data-mining bias is a primary cause of failure of quant traders.


The Unconventional Guide To The Best Websites For Quants

#artificialintelligence

Technology moves at a startling speed and it has been the same case in the algorithmic and quantitative trading domain. Traders around the world are making use of Machine Learning, Artificial Intelligence, Blockchain, Neural Networks, Deep Learning and similar techniques to execute their trades. One of the key factors to benefit from the ever-changing trend in technology is to learn the impact of the evolving ways that other traders use and learn from their mistakes.


Algorithmic Trading Strategies: Paradigms and Modelling Ideas

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'Looks can be deceiving,' a wise person once said. The phrase holds true for Algorithmic Trading Strategies. The term Algorithmic trading strategies might sound very fancy or too complicated. However, the concept is very simple to understand, once the basics are clear. In this article, I will be telling you about algorithmic trading strategies with some interesting examples. If you look at it from the outside, an algorithm is just a set of instructions or rules. These set of rules are then used on a stock exchange to automate the execution of orders without human intervention. This concept is called Algorithmic Trading.


Algorithmic Trading Strategies and Modelling Ideas

#artificialintelligence

'Looks can be deceiving,' a wise person once said. The phrase holds true for Algorithmic Trading Strategies. The term'Algorithmic trading strategies' might sound very fancy or too complicated. However, the concept is very simple to understand, once the basics are clear. In this article, We will be telling you about algorithmic trading strategies with some interesting examples. If you look at it from the outside, an algorithm is just a set of instructions or rules. These set of rules are then used on a stock exchange to automate the execution of orders without human intervention. This concept is called Algorithmic Trading. Popular algorithmic trading strategies used in automated trading are covered in this article.


Quants: The Rocket Scientists of Wall Street

#artificialintelligence

As financial securities become increasingly complex, demand has grown steadily for people who not only understand the complex mathematical models that price these securities, but who are able to enhance them to generate profits and reduce risk. These individuals are known as quantitative analysts, or simply "quants."