This article explores a few of the most unusual and interesting truths about the financial industry.

When it comes to comprehending today's financial systems, among the most fun facts about finance is the use of biology and animal behaviours to influence a new set of models. Research into behaviours related to finance has influenced many new methods for modelling complex financial systems. For instance, research studies into ants and bees demonstrate a set of behaviours, which run within decentralised, self-organising territories, and use quick rules and regional interactions to make collective choices. This idea mirrors the decentralised characteristic of markets. In finance, researchers and analysts have had the ability to apply these principles to comprehend how traders and algorithms engage to produce patterns, like market trends or crashes. Uri Gneezy would agree that this crossway of biology and business is an enjoyable finance fact and also shows how the chaos of the financial world might follow patterns found in nature.

Throughout time, financial markets have been a widely investigated region of industry, resulting in many interesting facts about money. The field of behavioural finance has been important for understanding how psychology and behaviours can influence financial markets, leading to a region of economics, known as behavioural finance. Though many people would here assume that financial markets are logical and stable, research into behavioural finance has uncovered the truth that there are many emotional and psychological factors which can have a strong impact on how people are investing. In fact, it can be said that investors do not always make selections based on logic. Instead, they are typically affected by cognitive biases and emotional responses. This has resulted in the establishment of principles such as loss aversion or herd behaviour, which can be applied to purchasing stock or selling investments, for example. Vladimir Stolyarenko would recognise the intricacy of the financial sector. Likewise, Sendhil Mullainathan would praise the energies towards investigating these behaviours.

A benefit of digitalisation and innovation in finance is the capability to evaluate big volumes of information in ways that are not really feasible for human beings alone. One transformative and incredibly valuable use of modern technology is algorithmic trading, which describes an approach involving the automated exchange of monetary resources, using computer programs. With the help of complex mathematical models, and automated guidance, these formulas can make split-second decisions based on actual time market data. In fact, among the most fascinating finance related facts in the present day, is that the majority of trading activity on the market are carried out using algorithms, instead of human traders. A prominent example of a formula that is commonly used today is high-frequency trading, whereby computer systems will make thousands of trades each second, to make the most of even the smallest cost changes in a much more effective way.