How much time do you need to receive, analyse and respond to market events in today’s world of fragmented liquidity?

As I’m sure most of you have experienced there is an ever increasing need for more data… from domestic markets, international markets, capturing your own order flow, news, and recently sentiment from social media. Regardless of the hype around big data improving your understanding of markets, it’s microstructure and the impact of your own trading can be a game changer.

Financial crime beat. This is spoofing season at the CFTC. Perhaps spoof-hunting season would be more apt. At the end of January in 2018, the CFTC announced ten separate actions against futures markets spoofers. The fines totaled about $46,000,000. Today, Feb. 8th 2019, we see the second announcement of the 2019 season, an enforcement action against a metals futures trader. The first, on 31 Jan, was a fine for a proprietary trader spoofing Soybeans. Perhaps the vigorous spoofer cull of 2018 has made them thin on the ground? Or perhaps they've become more wily.

By Dermot Harriss

By Dermot Harriss

By Louis Lovas

Cloud computing, it means a lot of different things to different people. There are public, private and hybrid models, yet the variations are endless. A key characteristic of the cloud is rapid elasticity which offers compute power unheard in priory infrastructures. Such parallelized scalability allows previously intractable problems to become a reality. There is two key underlying components behind this – a computational model and distributed data.

By Dermot Harriss

There has been an explosion of hype surrounding Big Data. The term Big Data has largely been associated with loosely-structured content, originating from web search companies and social media.

The ever-increasing investment in new technology is causing a transformation in how firms operate. It is of course behind the accelerating use of algorithms – and that creates a more competitive environment for everyone. I’m sure many of you are faced with thinning margins, diminishing volumes and the uncertainty in accurately measuring returns. This of course increases the pressure to use algorithms as you look to squeeze alpha out of that diminishing pot.

As our clients and prospects evolve their perspective and use cases for shared infrastructure, OneMarketData has been increasing our efforts to enable clients to rapidly shift from internally deployed infrastructure and applications, to Cloud deployed services, offering like capabilities but with lower implementation and operating expenses.  Over the last 24 months, we have been extending our capabilities to align with the trend towards shared infrastructure for the collection, storage and analysis of exchange tick data to support legacy Data and Analytics applications, as well as the expanding use of Machine Learning and Artificial Intelligence (AI).  Our current offering includes a private and public cloud OneTick service, nourished with 10+ years of trade and quote data from over 200  global equity, option and futures exchanges.   Our time series data incorporates Corporate Actions, Symbol and Identifier changes, and cross reference to the leading industry identifiers, removing the hassle associated with in-house maintenance.  While we have experienced rapid adoption of our OneTick Cloud platform, we continued to receive feedback from our client segments expressing interest in extending the Service to include real time exchange feeds.  To that end, our recently announced Partnership with ICE Data Services, will offer real time access and collection of exchange market data, accessed through a hosted OneTick Service.   The Service will be marketed and contracted by ICE, and supported by OneMarketData, offering clients the ability to reduce their operational overhead and expenses related to feed collection, maintenance, storage, while providing end user and application access using Python, R, and RESTful API.  We are excited about the launch of this new service and look forward to discussing the potential fit to your organization.

Data drives everything we know and don't yet know. It is a tunnel to explore and analyze the past. Historical data provides the vehicle to gain an understanding of the interrelationship and  correlation between and within markets and the influence of business, economic and geo-political actions. The point of course is to leverage this knowledge as a means to gaze down the other end of the tunnel anticipating what may come. Prediction is that elusive holy grail that quantitative analysis seeks.  Whether its portfolio managers hedging risk or Quants seeking new avenues for alpha historical data reveals the light at the end of the tunnel. And it's not just a matter of having the raw historical data, but having it structured, organized and linked together with the right tools to tunnel deep letting the knowledge buried within be easily unearthed.

OneTickCloud is the industry’s premier solution for on-demand access to global tick data and analytics. Deployed in a secure data center, OneTickCloud provides firms the ability to aggregate, normalize and analyze large volumes of data, including Morningstar global tick data, using OneMarketData’s market-leading enterprise data management software, OneTick.

Confidence and Fear...  two factors that are strong motivators. When it comes to the quantitative world, traders and quants are looking for the confidence that their strategies will turn a profit and are fearful that what they deploy into production could become headline news as the latest rogue algo to wreak havoc.  Of course those quant firms employ both advanced technology and human capital to have the confidence in achieving alpha and to minimize the fear.

Complex market structures are here to stay and will just get more intricate and convoluted in the future as regulation and fragmentation create opportunities for existing providers and new data vendors enter the fray. With the profusion of Exchanges, ECN's, Dark Pools and ATS's  the result is a elaborate maze of market complexity with pools of liquidity scattered everywhere.  Thus creating a labyrinth for investment firms to navigate - 'where can we find BBO? Best Execution?". This complexity is here to stay and is expanding.

I’ve often been asked to define the term Big Data. The reason the question even arises is due to the incredible explosion of hype. In the past 12-months alone the use of the term has increased over 1,200%. A Google search will net countless articles from pundits spouting their perspectives sprinkled with marketing-spin. Broadly speaking Big Data is associated with many aspects of commercial business, specific technologies and in some circles the science behind behavioral targeting.