Are you trying to dig deep into financial markets? Keep reading to find out a modern approach known as Nowcasting!
In the trading world, you may come across a lot of unforeseen outcomes. But with Q learning, you open the door to a potential new edge.
Quant was once considered to be the ‘Holy Grail’ in wholesale finance. How it will change over the next decade?
One of the reasons DeFi is suited for algorithmic trading is its financial dynamics. Let’s discuss how Quant strategies can be used in DeFi.
Should you try out the Zorro Project for backtesting and live execution of trading strategies? Let us find out.
In this era of competitiveness in financial studies, opting for empirical research without backtesting overfitting is quite a chore. Read our article to avoid overfitting in your research.
Do your calculations take forever? Don’t worry anymore. Check our article on the impacts of quantum computing in quantitative finance to learn finance like a pro.
Cash and Carry Arbitrage is an arbitrage strategy that is market neutral. Here is a gentle introduction.
Algorithmic trading is the use of computer programs for entering trade orders with algorithms deciding on aspects such as timing, prices, and quantity of the order with lack or even without human intervention.
In this post, I present an approach to model a statistical arbitrage trading strategy and quantitatively analyze the results.