High Frequency Trading in Japan on the Uptick

By Nicole Hemsoth

August 23, 2010

High frequency trading (HFT), often called algorithmic or low latency trading, relies on fast computers and even faster networks to execute trades in sub-second and even sub-millisecond timeframes. It has generated massive profits for those firms skilled enough to handle the complexities of the software and hardware.

As such, it has become the dominant method for equity trading in the US, but it’s popularity is expanding worldwide, especially Asia. HPCwire got the opportunity to ask Chuck Chon, chief technology officer of SBI Japannext, about the HFT business in Japan and to talk about some of the technology behind it.

HPCwire: We’ve heard a lot about the prevalence of high frequency trading (HFT) in exchanges. Some analysts put the share of HFT trades at 70 percent. What’s the HFT landscape like in Japan?

Chuck Chon: I am using 2009 data. If we were to take the top 30 players out of the 107 TSE members total market share, it is around 84.2 percent. Out of these 30 players, there are 14 foreign brokerages houses and 4 mega-Japanese brokerage houses. If we were to add up the market shares of these 14 foreign brokerages and 4 Japanese mega-brokerage houses, we get 65.1 percent of the total market shares. We can safely assume that these 18 firms in Japan are engaged in some form of HFT type of proprietary trading strategies or have clients who actively trade using HFT strategies. Therefore, based on the assumptions that I have made, without going into further details, I would say it is perhaps over 50 percent already. The official TSE number for HFT trades is 30 percent in Japan.

HPCwire: What’s driving the high frequency trading market?

Chon: One of my former colleagues said to me, “If you do not have it — HFT — then you are the only one without it. So you need to have it just to compete.” Are they all profitable? I do not think so. I believe competition for an extra edge in the market is fierce and spreads are razor thin. HFT guys need to augment their profits by constantly trying to find the inefficiencies in the market. That includes alternative trading venues like SBI Japannext that can offer an extra edge through significantly smaller tick sizes compared to Tokyo Stock Exchange.

HPCwire: Can you describe what a typical HFT infrastructure looks like today?

Chon: I believe HFT infrastructures have gotten much simpler for a few simple reasons. First, collocation rack space cost is extremely high so the aim is to reduce the footprint in collocation rack spaces as much as possible. Second, they will eliminate any unnecessary hardware equipment and software applications that get in the way of latency. I guess a good analogy would be comparable to building a racing car.

HPCwire: What elements of the infrastructure are HFT firms focusing on to get a technological edge over their competition?

Chon: In HFT trading, fill ratio is a critically important parameter. The first to discover the inefficiencies in prices and the first to capture the inefficiencies obtains the edge in trading. HFT guys will go an extra mile to get there. Therefore, I believe their focus will evolve around latency busting technologies.

As an example, most likely all critical applications will be running in memory. If processes need to communicate outside the boxes, they will most likely opt for multicast instead of TCP. If they need to communicate via WAN link, they will most likely opt for low latency carriers and invest in high end network equipment to cut down on device latencies.

HPCwire: What does it currently take, money-wise, to get into the high frequency trading business? Is it just for big financial institutions with deep pockets?

Chon: My area of involvement for the past 20 years was exclusively around index arbitrage HFT trading strategies. Without going into too much detail, the fund size was in the billions of dollars and funding cost was near the LIBOR rate. The point here is that size matters in this business.

HPCwire: How do you see HFT systems evolving over the next several years? Will it be all about reducing latency or are there other areas that you think will become more critical?

Chon: As long as technologies continue to improve and even a micro second can be shaved, the hard core HFT guys will most likely go after it. I believe HFT systems will evolve until they achieve theoretical zero latency. As for the other critical area of development going forward, it may be in SOR technologies to effectively deal with proliferation of various types of liquidity pools and fragmentation of the market.

SBI Japannext, the largest and most well established alternative trading venue, was responsible for triggering the SOR race among the global brokerage houses in Japan. SOR has now become, “If you don’t have it — SOR — then you are the only one without it. So, you must have it in order to compete.”

HPCwire: A lot of criticism has been leveled at HFT — at least in the US. Some believe it can greatly magnify market volatility, creates unfair competition for traditional investors, and tips the balance of market activity from long-term investing to speculation. What’s your perspective?

Chon: I am sure there are others who are more qualified than I am in commenting on the effect that HFT has had on the market. From my perspective, the HFT business I was involved in, we got paid to provide the liquidity to market when the market needed liquidity and we got paid to take the liquidity when the market needed us to take the liquidity. We did it well and we did it abiding by the trading rules mandated by exchanges and compliance rules outlined by regulatory institutions. We took pride in assisting the market to become more efficient.

I believe HFT gets a bum rap because of its highly-proprietary nature of the business and lack of transparencies on how the strategies impact the market. I am quite certain if HFT existed during the 1920s, HFT guys would have gotten a bum rap for triggering the Great Depression. Having said that, if the critics of HFT were able to look under the hood of a typical HFT strategy, they may be surprised to find that it is perhaps based on some simple concepts — no different from what normal investors would do manually.

—–

Chuck Chon, CTO at SBI Japannext will be speaking at the Trading Architecture Asia 2010 conference, being held August 31st — September 2nd. HPCwire is a proud media partner of this event.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire