As more data becomes available, firms are finding unique ways to implement alternative data into alpha generating strategies. This stream will focus on dataset management and analysis for improved trade performances.





Alternative Data & Quant, 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
Alternative Data & Quant

Big data – how volume, variety, and velocity are impacting the way big data is managed?

Alternative Data & Quant

New Data Compliance – GDPR and future regulatory requirements

Alternative Data & Quant

Risk – optimizing models to protect investments and trades

Panel discussion
Sal Abbasi
Alternative Data & Quant

Pyqstrat – An open source backtesting system for quant strategies

Panel discussion
Alternative Data & Quant

Extracting Value – analyzing alternative datasets through technology and human capital

  • Datasources: sifting through the streams of data to achieve peak performance
  • Training the model: using algorithms to understand the context of financial conversation
  • Building the system: which hardware and software systems are necessary for storing and running data analysis at the lowest latencies?
Moderator: Chuck Mackie, Principal, Fathom Communication
Joel Bloch, Founding Partner & CRO, Trinnacle Capital Management
last published: 13/Feb/19 16:06

Alternative Data & Quant, 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
Alternative Data & Quant

Data access architecture – how the way you connect with your data impacts trading strategy

  • Data storage: keeping all needed information for algorithmic decision-making
  • Speed of data: designing an infrastructure that allows for fast data analytics
  • Fast algorithms: how AI system speeds will enhance trade returns
Panel discussion
Alternative Data & Quant

Sources of the future - where might alternative data come from next?

  • GPS: will the build out of IoT link GPS coordinates of ships for more reliable intel?
  • A.I.: how will next generation A.I. and machine learning predict data before it is even created?
  • How will growing usage of cryptocurrencies impact alternative datasets?
Alternative Data & Quant

Cleaning Data – using tools like Python and Tableau to eliminate noise

Alternative Data & Quant

Risk Analytics – accounting for potential losses in model development

Alternative Data & Quant

Using models – how to implement alpha once it is calculated?

Panel discussion
Alternative Data & Quant

Model Management – leveraging research for optimal trade strategy

  • Good Quants vs. Bad Quants: how to avoid overfitting?
  • Process vs. Results: which carries more weight?
  • Alpha shifts: how to evolve when your model starts underperforming?
  • Future of alpha generation: how will research advance in 2019?
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





Steven Reichard
+1 646-619-1777





Peter Kloak
+1 646-619-1801





Shannon McGorry
+1 646-619-1840





Michael Rothbard
+1 646-619-1802



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