In an era dominated by technological advancement, artificial intelligence and its sudden rapid adoption has become an increasingly polarizing subject. On the one hand, the emergence of AI-powered tools such as Open AI’s ChatGPT and Google’s Bard promises improved productivity and efficiency in a wide range of professional practices — from creative production to task automation. On the other hand,
The world of finance comprises a myriad collection of assets and derivative products that investors hold in high regard. Among these, investors consider several assets fundamental, undergirding our current financial landscape. This blog briefly overviews these assets and their role as building blocks of the current global economic realm. Equities: The Cornerstone of Investment Equities, otherwise known as stocks, represent
Sentiment is one of the most powerful forces in financial markets. Beliefs within financial circles largely determine the market movements and decisions that participants make, resulting in bullish or bearish trends. This has given rise to Algorithmic Trading based on Sentiment Analysis. Understanding Sentiment Analysis Sentiment analysis uses Natural Language Processing (NLP) and machine learning (ML) to determine public sentiment,
Due to the fast-paced nature of financial markets, the price of an asset across different markets can often vary. This price discrepancy is an opportunity for traders to make a profit. You do it through a method called “arbitrage.” What is Arbitrage? Simply speaking, arbitrage works like this — if you can purchase an item at a lower price from
Pairs Trading is an algorithmic trading strategy built on the principles of statistical arbitrage. It is designed to take advantage of the statistical relationships between two co-moving assets. And execute actions that capitalize on price deviations and market inefficiencies. This strategy relies deeply on the understanding of statistical concepts, risk management, and timing. Today, it is widely adopted amongst many financial
Trend following is an algorithmic trading strategy that combines the strengths of mathematical models and statistics to take advantage of market trends. Rooted in the principle of momentum, trend-following methods generally seek to identify and take part in prevailing price asset trends. Today, it is widely used by large financial institutions to generate profits for clients in both falling and
Algorithmic trading is a diversified practice that has fostered a growing number of trading strategies. And it is one that involves complex mathematical approaches. One of the most powerful and intriguing strategies employed today by algorithmic traders is “Mean Reversion.” Mean Reversion is based on the fundamental principle that asset prices tend to revert to their average value over time.
Algorithmic trading, also known as automated trading or algo-trading, is a sophisticated method of executing trades automatically through pre-programmed algorithms. These purpose-built algorithms are developed to intake, process, and analyze expansive volumes of market data. They do so in order to identify profitable opportunities and execute trades without the need for direct human intervention. This powerful technology has revolutionized financial
In the popular video game and TV series The Last of Us, a fungus called Cordyceps takes over the brains of humans, turning them into flesh-eating zombies. While this may seem like the stuff of science fiction, scientists are now discovering that the future is fungi have the potential to redefine the world of technology in a surprisingly positive way. From mushroom-powered computers
“Software is eating the world, but AI is going to feast on software.” Jensen Huang, CEO of Nvidia This phrase captures the evolving landscape of technology, where software has become pervasive in our daily lives. Today, we use software across a vast array of applications. Spanning from smartphones and cars to medical devices and beyond. However, as we enter the
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