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25Sep
The Trading Show New York 2019 SeptemberSep 25 2019 Europe/MadridHilton Midtown, New York, NY

BlockchainCryptocurrenciesNetworkingPaidSummitUSA

If you want to do business with the CTO of an automated trading firm, the head of quantitative analysis of a leading bank, the head of a global exchange, the global head of derivatives from a leading fund manager or the Chief Data Officer of a financial institution, you cannot miss this event!

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Hilton Midtown, New York, NY

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Sep 25 09:00
Opening keynote: The Three Digital Horizons – Analyzing how enterprise transformations are reshaping the financial landscape
Sep 25 09:20
Keynote panel: State of the Crypto Market – how is the rise of digital assets impacting portfolios, electronic trading desks & capital markets at large?
Sep 25 10:00
Data Modeling – using a 3-stage process for improving data analysis
Sep 25 10:20
Connectivity: A Review of the Latest Developments
Sep 25 11:40
High-performance systems strategy – how are you aligning HPC hardware & software to optimize performance?
Sep 25 11:40
Data infrastructure – aligning technology, and strategy to achieve peak investment performance
Sep 25 11:40
Realities of Machine Learning – Effective applications of ML in Stock Selection
Sep 25 11:40
Digital Asset Custodians – how is the way digital assets are stored impacting the way cryptocurrencies are traded?
Sep 25 11:40
Tokenizing assets: how will blockchain change the meaning of liquidity?
Sep 25 12:00
Smart Betas - Enhanced Smart Betas via Machine Learning
Sep 25 13:50
1. Speed on a budget – determining the right connectivity architecture based on costs
Sep 25 13:50
2. Automation in the cloud – structuring off-site systems that maintain high speeds
Sep 25 13:50
3. Open Source Finance – how sharing codes can maximize output, minimize inefficiencies and push the industry forward
Sep 25 13:50
4. HR Solutions – Attracting star talent while building a positive trading culture
Sep 25 13:50
5. Smart Beta – identifying true factor exposure and understanding factor correlation
Sep 25 13:50
6. Enterprise data management – how are you managing, governing & integrating data to achieve peak performance across applications, systems and services?
Sep 25 13:50
7. Cleaning and Proving Value of Alt Data – Strategies to eliminate noise
Sep 25 13:50
8. The Return of Intra-day Trading – equity strategies that take advantage of the re-emergence of volatility
Sep 25 13:50
10. Designing machine learning algorithms for trading & portfolio strategies
Sep 25 13:50
11. Back-Testing – examining A.I.’s role from conceptualization to trade execution
Sep 25 13:50
9. Deep Learning - effectiveness of deep learning for alpha strategies
Sep 25 13:50
12. Stablecoins – how will pegged tokens be regulated?
Sep 25 13:50
13. Systematic cryptocurrency trading – applying quantitative principles to capture ‘crypto alpha’ in digital currency markets
Sep 25 13:50
14. STO’s – a guide to navigating through credible opportunities as an investor or fundraiser
Sep 25 13:50
15. Blockchain Ecosystem – where are the best investment opportunities?
Sep 25 13:50
16. Regulatory Landscape – how will blockchain be governed by authorities?
Sep 25 13:50
17. Security – wallet protections for the institutional investor
Sep 25 14:30
LIBOR comes to an end…are the old models equipped to work in the new environment? Laying down a framework for traditional models in the new context
Sep 25 14:30
AI & machine learning for trading and investing – what new tools, strategies and products are on the horizon?
Sep 25 14:30
Crypto trading infrastructure – architecting platforms for institutional crypto products
Sep 25 14:30
Blockchain, crypto & the future of money – how will decentralized platforms change the cross-border flow of currency and commerce?
Sep 25 14:50
Shortwave Trading – leveraging revolutionary technology for ultra-low latency
Sep 25 14:50
Adding Optionality – A new way to look at trade insurance
Sep 25 15:10
Maximizing connectivity – how are you balancing latency & bandwidth in 2019?
Sep 25 15:10
Evaluating Datasets – analyzing alternative data through technology and human capital
Sep 25 15:10
TCA and AI analytics – how can AI be utilized for better trade execution?
Sep 25 15:10
Trading Crypto Beyond 2019 – how will cryptocurrencies be traded in the future?
Sep 25 15:10
Scalability – how to improve blockchain’s capacity for a growing market?
Sep 25 16:20
The alpha of trade performance – how to harness emerging technologies to develop smarter execution, optimize trading algorithms & predict market behavior
Sep 25 16:20
Determining Risk – how financial firms are analyzing how much risk they’re willing to take and utilizing new technologies to enhance risk management
Sep 25 16:20
Natural Language Processing – how are A.I. systems transforming sentiment analysis?
Sep 25 16:20
Liquidity in Crypto – adding stability to a young and fast-growing market
Sep 25 16:20
Protocol Trading – how will the future of capital markets be influenced by blockchain technology?

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