About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Opinion: New Wall Street Film Shows That Technology Never Sleeps

Subscribe to our newsletter

By Dr Giles Nelson, Deputy CTO, Progress Software

The latest Wall Street movie – ‘Money Never Sleeps’ – opens with Gordon Gekko, the man who so famously stated “Greed is good” in the first film, being released from jail. It’s a comical scene, contrasting the technology of the ’80s to the tech of today as the guard returns Gekko’s bulky mobile phone.

But it’s not just the then-brick-sized mobile phones that have changed since the 1987 instalment. Gekko is released into a world where the nature of how the financial world is run has completely changed. It’s only after recently revisiting the original movie, however, that I came to realise just how much advances in technology have fundamentally changed the way in which the trading floor environment operates.

Take High frequency trading (HFT), the use of technology to monitor and submit orders to markets extremely quickly, which has been receiving a lot of bad press recently and is sometimes described as “abusive”. It is no more abusive than two traders making trades using only the telephone, as was the case in a scene from the original Wall Street film. Yes, it can be used for rogue trading by the likes of Gekko, but so can any other technology.

Similarly, algorithmic trading is also seen by some as an industry curse. Credit Suisse has been fined this year by an exchange after its algorithmic trading system went out of control and bombarded the exchange with hundreds of thousands of erroneous orders. But this wasn’t a deliberate attempt to manipulate the market. It was a mistake, albeit a careless one. There just weren’t proper controls in place to protect the market from what, ultimately, was human error – the algorithms hadn’t been tested sufficiently.

There is no doubting that technology has generated enormous benefits for trading – greater efficiencies, more market liquidity, tighter spreads and better prices for all. To lose these benefits because of perception would be very dangerous. Having said this, technology has also made the markets faster and more complex. Therefore, all market participants need to up their game by deploying modern monitoring capabilities to spot trading anomalies to help capture the next-generation Gekkos.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Exegy Acquires NovaSparks to Accelerate Convergence at the FPGA Layer

Exegy, the low-latency market data, trading, and execution technology provider, has agreed to acquire NovaSparks Inc., the specialist in Field Programmable Gate Array (FPGA) enabled market data and trading products. Exegy’s move to bring NovaSparks into the group signals a clear intent to exert deeper control over the FPGA-driven market data pipeline, from normalisation and...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Preparing For Primetime – How to Benefit from the Global LEI

They say time flies when you’re enjoying yourself, and so it seems the industry have been having a blast with its preparations for the introduction of the global legal entity identifier (LEI) next month. But now it’s time to get serious. To date, much of the industry debate has centred on the identifier itself: its...