Automated Trading & HPC



As automation continues to make strong impacts on the trading ecosystem, getting a leg up in a market with thinner margins has become more crucial. This stream will expand on low-latency infrastructure and design as well as discuss strategies for those who struggle to keep up in the low-latency game.





Automated Trading & HPC, Wednesday 8 May 2019

Robert Creamer

Competitive Strategies – harnessing new technologies to stay viable/ahead

Panel discussion

State of the Crypto Market – How will the rise of cryptocurrencies impact portfolios, electronic trading desks and capital markets at large?

  • Institutionalization – what entities are beginning to accept/introduce cryptocurrencies as a legitimate form of currency?
  • Regulatory Risks - what developments do risk-averse institutions need to see on the regulatory front to quell concerns about compliance?
  • Product Integration – how will additional financial products like ETFs and crypto futures impact the market?
  • Capital Inefficiencies – is there a better way to manage the necessary capital for bid requests across multiple exchanges?
  • Rebuilding infrastructure – making exchanges more user-friendly for efficient trading
Steve Kurz, Head of Asset Management and Global Distribution, Galaxy Digital

Tokenization and tomorrow's global economy

Panel discussion

Low Latency Components – Building the infrastructure for accelerated trading

  • FPGA vs. ASIC: valuing low cost chips against faster speed processing
  • Software Development: experimenting with coding to construct the fastest system
  • Human Capital: tapping into other industries for the best coding talent
  • Testing, development and integration – what tools and technology are necessary to build and test FPGA and ASIC applications?
Session led by: supermicro
Session led by: solarflare
Automated Trading & HPC

Automation in the cloud – structuring off-site systems that maintain high speeds

Automated Trading & HPC

Speed on a budget – determining the right connectivity architecture based on costs

Stéphane Tyc
Automated Trading & HPC

Connectivity: A Review of the Latest Developments

Session led by: quincy-data-&-mckay-brothers
Mike Persico
Automated Trading & HPC

Exchange to exchange connectivity – why engineering, IP and old-fashioned R&D trump off-the-shelf solutions

Session led by: anova-technologies
Panel discussion
Automated Trading & HPC

The Future of low latency – what networks allow you to communicate at max speeds?

  • Undersea cables: extending fibre connectivity as the industry norm
  • Microwave Connections: using radio frequency for one-hop connections
  • Low Earth Orbit Satellites: how complex are they and what are the costs associated?
  • Free Space Optics: will the use of lasers overcome the obstacles of weather disruption?
  • Tower consolidation
Panel discussion
Automated Trading & HPC

Re-thinking IT for high performance trading – compute, data management, storage and networking

  • Warehousing & integration: best practices for building an enterprise data warehouse and unifying data management across different IT teams and departments
  • Design and engineering developments: how are new technologies driving trading firms from proprietary software and hardware to open source, automated, software-defined models?
  • Hyperconverged vs. converged vs. traditional infrastructure: assessing the benefits of combining compute, storage and networking into a single, software-driven appliance
  • Outsourcing your data center: sourcing, integrating and managing third-party DCaaS (data center as-a-service), IaaS (infrastructure as-a-service), PaaS (platform as-a-service) solutions
  • Containerization vs. virtualization: how can you leverage container technology to increase operational efficiency, boost scalability, facilitate application development and lower costs?
  • Storage: deploying cloud servers and software-defined data centers to maximize storage efficiency and scalability; maintaining storage requirements to accommodate new data sources
  • Cybersecurity: assessing the importance of data management in security analytics
last published: 13/Feb/19 16:06

Automated Trading & HPC, Thursday 9 May 2019

David Johnston

Blockchain and the financial market – is the revolution coming or is it just hype?

  • Payments – lowering the cost of carrying out transactions
  • Data Infrastructure – using additional nodes for storage and quick access
  • M&A Transactions – greater transparency helping to facilitate takeovers
  • Lending – using blockchain assets as loan collateral
Panel discussion

AI Trading Strategies – How much should we rely on robo-advisors and algorithms to make trades?

  • Discovering the Risks – what should trading companies be most cautious of when it comes to AI?
  • Machine Learning – training the computer to spot the trends
  • Deep Learning – allowing the computer to discover what cannot be seen ourselves
  • Swarm Intelligence – getting machine learning computers to communicate with each other for better market comprehension
Panel discussion
Automated Trading & HPC

Maximizing your profitability in a market with reduced inefficiencies

  • Niche Strategies: How are prop trading companies staying afloat with reduced bid-ask spreads?
  • Trading ‘speed bumps’: how are firms keeping speed given exchanges deploying intentional transaction delays?
  • New ways to contain costs
Panel discussion
Automated Trading & HPC

Growing Marketplace – how are increased number of players impacting the market?

  • Exchange communication: updating the microstructure between exchanges, traders and regional data centers
  • Barriers to entry: is it becoming more or less difficult to enter the trading market?
  • Forward thinking strategy: adapting your trading strategy for foreseen increases in market entrants
Automated Trading & HPC

Asset Manager solutions - staying relevant in the face of coded solutions

round tables
Automated Trading & HPC

Robo-advisors - suggesting portfolio changes based on machine learning

Jack Waters
Automated Trading & HPC

Trader faster and smarter – analysing ULL routes between Chicago and New York

Session led by: zayo
Panel discussion
Automated Trading & HPC

High-Performance infrastructure strategy – how are you aligning HPC hardware & software to optimize performance?

  • To invest or not to invest: what types of latency problems are best addressed through hardware implementation vs. a software-based approach?
  • Deep learning chipsets: are specialized chipsets the future platform for implementing deep learning algorithms?
  • Mission-critical servers & AI infrastructure for data-intensive workloads: how are new breeds of enterprise servers ushering in the next generation of accelerated computing?
  • HPC software implementation: what are the key software challenges of developing and deploying increasingly complex HPC, big data, machine learning and visualization workloads?
  • Open source big data frameworks: integrating Hadoop, Spark and other big data technologies into your trading operation
  • Big data productivity tools & software utilities: compilers, debuggers, performance analysis and visualization tools
Panel discussion

A.I. in Blockchain – how machine learning and other algorithms will impact larger scale applications of distributed ledgers

  • Learning from the ledger – keeping data on the blockchain for better visualization and improve decision making
  • Trade records – looking back in the blockchain to understand trading patterns and trends
  • Risk Management and Safeguards – how is blockchain facilitating in minimizing losses?
Moderator: Agnes Budzyn, Managing Director of Global Growth, ConsenSys
Lou Kerner, Founding Partner, CryptoOracle
last published: 13/Feb/19 16:06





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