London, 17 October 2019

Schedule

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Oct 1709:00
Conference pass

A.I., Machine Learning, and Investment Strategies – an essential combination to staying competitive

Keynotes
  • Impact on Capital Markets – how the use of AI/ML techniques have changed the way investments are carried out
  • Market Foresight – using large sums of data to better predict future market movements
  • Technology Integration – connecting new AI strategies with current quant strategies for maximum returns
Oct 1709:20
Conference pass

State of the Crypto Market – how is the rise of digital assets impacting portfolios, electronic trading desks & capital markets at large?

Keynotes
  • Institutionalisation – what entities are beginning to accept/introduce as a legitimate form of currency?
  • Crypto block trading – current and future developments for facilitating the execution of large institutional digital currency trades
  • Regulatory Risks – what developments do risk-adverse institutions need to see on the regulatory front to quell concerns about compliance?
  • Crypto ETFs – how are ETFs being structured for ESMA approval and what will it mean for the greater digital asset marketplace?
  • Capital inefficiencies – is there a better way to manage the necessary capital for bid requests across exchanges?
  • Volatility & systemic risk – could the wild price swings associated with cryptocurrencies pose a risk to clearing houses and overall market stability?
  • Non-correlation effect & institutional portfolios – how can institutional investors leverage bitcoin’s extremely low correlation with traditional asset classes to optimize their portfolios?
Oct 1711:20
Conference pass

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

Automated Trading & HPC
Oct 1711:20
Conference pass

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

Automated Trading & HPC
Oct 1711:20
Conference pass

Post-Brexit Trading – what does the ESMA ruling UK registered stocks mean for liquidity?

Automated Trading & HPC
Oct 1711:20
Conference pass

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

Automated Trading & HPC
Oct 1711:20
Conference pass

Cleaning Data – using various scrubbing tools to eliminate noise

Alternative Data & Quant
Oct 1711:20
Conference pass

Market Data – A life in the day

Alternative Data & Quant
Oct 1711:20
Conference pass

Smart Beta – identifying true factor exposure and understanding factor correlation

Alternative Data & Quant
Oct 1711:20
Conference pass

Back-Testing – examining A.I.’s role from conceptualisation to trade execution

A.I. & Advanced Analytics
Oct 1711:20
Conference pass

Deep learning chipsets – using specialized hardware to implement deep learning algorithms

A.I. & Advanced Analytics
Oct 1711:20
Conference pass

Designing machine learning algorithms for trading & portfolio strategies

A.I. & Advanced Analytics
Oct 1711:20
Conference pass

The superiority of the machines? – Opportunities and limits of using algorithms in financial decision making

A.I. & Advanced Analytics
Oct 1711:20
Conference pass

Global Regulatory Infrastructure – understanding what's necessary for developing simplified mass adoption of blockchain

Blockchain and Cryptocurrency
Oct 1711:20
Conference pass

International Crypto Centers – what regions are best for crypto funds and why?

Blockchain and Cryptocurrency
Oct 1711:20
Conference pass

STO’s – a guide to navigating through credible opportunities as an investor or fundraiser

Blockchain and Cryptocurrency
Oct 1711:20
Conference pass

Systematic cryptocurrency trading – applying quantitative principles to capture ‘crypto alpha’ in digital currency markets

Blockchain and Cryptocurrency
Oct 1713:30
Conference pass

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

Automated Trading & HPC
  • To invest or not to invest –what types of latency problems are best addressed through hardware implementation vs. a software-based approach?
  • Future of FPGAs in trading – how will FPGAs fit into the future market landscape as the pursuit of alpha straddles between faster and smarter trading?
  • 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 otFher big data technologies into your trading operation
  • Big data productivity tools & software utilities – compilers, debuggers, performance analysis and visualization tools
Oct 1713:30
Conference pass

Finding patterns in intra-day trading – how to capitalize on the overall impact on the market from day traders

Alternative Data & Quant
  • Major events – how are prices fluctuating based on newsworthy events?
  • Risk – how does the high level of risk for intra-trading impact a traders decision making?
Oct 1713:30
Conference pass

AI & machine learning for trading and investing – what new tools, strategies and products are on the horizon?

A.I. & Advanced Analytics
  • Machine learning models – supervised learning, unsupervised learning, reinforcement learning
  • Smart data & real-time indicators – have technology providers solved the challenge of enabling the real-time delivery of accurate and relevant macroeconomic indicators?
  • AI & machine learning solutions for emerging data sources – using the latest advances in cognitive computing, deep learning and neural networking to extract unique insights from unstructured and alternative data sources
Oct 1713:30
Conference pass

Crypto trading infrastructure – architecting platforms for institutional crypto products

Blockchain and Cryptocurrency
  • Execution – what systems are in place to provide trade certainty?
  • Cloud connection – will trades slow down if moved to off-site servers?
  • Liquidity – how are exchanges keeping up with a rise in volume?
  • Liquidity vs. Volatility – which matters more for institutional traders?
  • Technology sharing – is it an advantage for crypto exchanges to purchase tech from traditional markets?
  • Security & compliance – innovation and initiatives for bolstering security
Oct 1713:50
Conference pass

Index Investing and ETFs – building blocks of the future

Alternative Data & Quant
  • How does DWS approach index investing/passive asset management?
  • How has the index/ETF landscape evolved and how does that impact issuers?
  • What are future trends?
Oct 1714:10
Conference pass

Evaluating Datasets – analyzing alternative data through technology and human capital

Alternative Data & Quant
  • Data sources – sifting through the streams of data from vendors and other third parties 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?
  • Additional examination – running further analysis of output from algorithms or AI systems for cleaner and structured results
Oct 1714:10
Conference pass

TCA and AI analytics – how can AI be utilized for better trade execution?

A.I. & Advanced Analytics
  • Trading Strategy – confirming and developing algorithms that align with a firm’s preferred method of execution
  • System Integration – tying in datasets, 3rd party information, and analytical tools for alpha generation
  • Real-Time analytics – connecting to the most up-to-date trading costs for more informed decision making
  • Post-Trade analytics – factoring in variable’s like daily volume and volatility to optimize trading strategies
Oct 1714:10
Conference pass

Blockchain, crypto & the future of money – how will decentralized platforms change the cross-border flow of currency and commerce?

Blockchain and Cryptocurrency
  • Industry trends & business drivers – evolving customer needs, aging core infrastructure, innovation across payment products and services
  • Economic impact – how crypto assets will change the dynamics of investing much in the same way the Internet changed the flow of information
  • Opportunities for banks – improved operational efficiencies, increased digitization, parlaying enhanced infrastructure into a platform for additional innovation across businesses and product lines
  • The promise of blockchain/DLT – the ideal design for addressing concerns around trust, lack of transparency, cross- border complexities?
  • Global transaction turbo boost – how can a blockchain-based network reduce settlement time and lower costs for international payments?
Oct 1714:50
Conference pass

Maximizing connectivity – how are you balancing latency & bandwidth in 2019?

Automated Trading & HPC
  • Network overload – is shortwave radio, despite its massive bandwidth deficit, a viable way for traders to make a low-latency transatlantic connection?
  • New world of alpha discovery – how are firms balancing speed and bandwidth as the algorithmic trading arms race turns toward ingesting and analyzing increasing volumes and varieties of real-time data?
  • Network monitoring – solutions, methods and technologies for identifying trends, detecting outliers and correcting excessive latency and jitter in real time
  • Risks around building ULL systems – moving data centres, cost of data, exchanges changing the rules
Oct 1714:50
Conference pass

Alternative data infrastructure – aligning technology, and strategy to achieve peak investment performance

Alternative Data & Quant
  • Outsourcing vs. internalizing – how to decide whether to fully outsource, partially outsource of fully internalize big data infrastructure?
  • Data integration – how to incorporate new datasets into existing trading processes?
  • Machine learning & analysis tools – visualization software, open-source libraries
  • Human capital dynamics – how to assemble the most effective team to execute your alternative data strategy
Oct 1714:50
Conference pass

The 3 dimensions of trading strategies – how can you align your portfolio to better fit a more global view?

A.I. & Advanced Analytics
  • Discretionary Trading
  • Traditional Quant
  • Risk Premia
Oct 1714:50
Conference pass

Trading Crypto Beyond 2019 – how will cryptocurrencies be traded in the future?

Blockchain and Cryptocurrency
  • High Frequency Trading - developing the systems necessary to trade on a relatively high-latency infrastructure
  • Options - preparing for the buildout of derivatives that allow for less risk
  • ETFs - will the SEC allow for an explosion of crypto exchange traded funds?
  • Security Tokens - which tokens will be tied to tangible assets and how will that impact the market overall?
  • Privacy - how will future tokens avoid being tracked through chain analysis?
Oct 1716:00
Conference pass

The alpha of trade performance – how to harness emerging technologies to develop smarter execution, optimize trading algorithms & predict market behavior

Automated Trading & HPC
  • Less alpha, tighter spreads, thinner margins & increased risk aversion – how must quant funds, trading firms, asset managers and banks adjust when implementing a market data strategy?
  • Performance measurement solutions – post-trade, intra-day and real-time cost analysis
  • Capturing, cleansing, storing & analyzing market data – how to enable alpha discovery across asset classes and geographies in turbulent market conditions
  • Vendor relationships – the build vs. buy puzzle and working with your provider to improve performance, capacity and cost efficiency
  • Real-time insights – how can traders use visualization technology to aid in real-time pattern discovery and outlier detection?
Oct 1716:00
Conference pass

Determining Risk – how funds are analysing how much risk they’re willing to take and utilising new technologies to enhance risk management

Alternative Data & Quant
  • Simulations – Applying stress testing into existing enterprise infrastructure
  • Compute-intensive risk – how are quants and risk managers using the cloud to scale up modelling capacity without breaking the bank on building new data centres?
  • Modernisation of data management – incorporating new technologies and open source software for smarter betas
  • Predictive analytics – working with vendors and third-party affiliates on algorithmic tools to measure future risk
Oct 1716:00
Conference pass

Utilising Artificial Intelligence and Machine Learning to generate a more diversified portfolio

A.I. & Advanced Analytics
  • Land of Opportunity – tapping into tech startups from Berlin to London to build more complex AI systems
  • Learning for a Purpose – realising the true fundamental effects of machine learning to best correlate data and returns
  • Predictive analytics – using algorithmic tools to measure future risk
  • Who’s moving markets – understanding the true players and their impact on prices to construct a more useful AI system
Oct 1716:00
Conference pass

Crypto Custodians – how is the way digital assets are stored impacting the way cryptocurrencies are traded?

Blockchain and Cryptocurrency
  • Cybersecurity – using cold storage and protocols to safely hold cryptocurrencies
  • Digital Wallets – developing secure keys for on and offline wallets
  • Balance of power – should exchanges be allowed to act as custodians and brokers?
  • Number of Custodians – are digital assets safer with a lesser amount of large institutions holding AUM?
Oct 1716:40
Conference pass

Tokenising assets: how will blockchain change the meaning of liquidity?

Keynotes
  • Securities – a new landscape for traditional stock trading
  • Real Estate – changes to investing via blockchain REITs
  • Real assets – using blockchain to purchase commodities, art, diamonds, and other alternative assets
  • Token Offerings – understanding the digital space to gain a leg up in raising capital funds
  • Exchanges – how blockchain and tokenization will lead to AI-only exchanges
last published: 21/May/19 20:45 GMT

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