OneTick Blog

3 min read

Time Advantage to Analytical Inquiry, the value of Visual Data Discovery

By Louis Lovas on Mar 20, 2019 4:15:43 PM

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

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1 min read

OneTickCloud: Simplifying Access to Normalized Tick Data for Sophisticated Analysis

By Louis Lovas on Mar 6, 2019 5:23:19 PM

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.

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1 min read

Spoofing Season at the CFTC

By Dermot Harriss on Feb 21, 2019 5:29:42 PM

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.

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2 min read

FINRA in the Cloud & 2018 volumes

By Dermot Harriss on Feb 11, 2019 10:54:00 AM

By Dermot Harriss

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2 min read

LabCFTC smart contracts primer

By Dermot Harriss on Feb 8, 2019 2:10:00 PM

By Dermot Harriss

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3 min read

A SEC for Canada?

By Dermot Harriss on Feb 5, 2019 12:30:00 PM

By Dermot Harriss

Canada has taken another step in its long, slow shuffle towards creating a national securities regulator.  On November 9th, the Supreme Court ruled that such a regulator would be constitutional (in a 2011 ruling, it took the opposite position). Of course, it would be un-Canadian to create a new federal administration without endless provincial bickering, so the court stressed that it was up to the provinces to decide whether they would participate.

Québec promptly said ‘absolument pas,’ No surprise there. With Québec, ‘mais non,’ is the answer to anything remotely federal. In Québec, securities rules should have a distinctly Québécois cultural flavor.

So far, British Columbia, Saskatchewan, Ontario, New Brunswick, Prince Edward Island, Yukon and the federal government have signed a memorandum of agreement to create the new regulator.

Most legal and compliance experts feel that Canada should have a national regulator. Canada has long been the ‘wild North’ for trading. For some time, its lack of an equivalent of the US National Market System meant it blithely relied on US HFT’s to close spreads by intermediating between exchanges and other pools whose prices would differ wildly.  Things have calmed down in past years. There's an OPR that protects all levels of depth, and an IIROC rule book that is a model of readability. The recently updated Rule 3300 is a hesitant step toward Best Ex requirements similar to those long in place in the US, and in Europe since MiFID II came into force.

The CSA, a cosy dinner club of provincial regulators that has had no real examination or practical enforcement ability, grumbles that a national regulator is unnecessary (indeed, it would make the CSA less relevant).

Pundits on the Left and Right respectively enthuse and fret that a national regulator will push a Liberal Agenda such as more women on boards and climate change.

Regardless, regulatory change is in the wind. Canadian spoofers could soon have a Canadian federal watchdog on their tails.

 

See OneMarketData for proven and cost-effective solutions.

Dermot Harriss is responsible for delivering solutions that help firms meet their regulatory compliance needs. Dermot brings over twenty years of financial industry experience from roles at Goldman Sachs, Morgan Stanley, and D.E. Shaw that included futures trading, quantitative strategy development, derivatives risk management, program trading, execution services, and technology management.

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3 min read

Transaction Cost Analysis using Machine Learning

By Tom Finke on Jan 30, 2019 4:31:12 PM

Transaction Cost Analysis using Machine Learning
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4 min read

Computational Models in OneTick and Hadoop

By Louis Lovas on Jan 9, 2019 6:51:04 PM

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.

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2 min read

Report on FINRA Examination Findings

By Dermot Harriss on Dec 12, 2018 12:33:30 PM

By Dermot Harriss

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4 min read

Big Data, Big Opportunities and Challenges in Finance

By Louis Lovas on Nov 19, 2018 3:34:42 PM

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.

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4 min read

TCA Talk - What, Why and the Market Impact

By Louis Lovas on Nov 5, 2018 5:33:01 PM

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.

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2 min read

Real Time Data Service and Reducing Operational Overhead and Expenses

By Jeff Banker on Oct 25, 2018 10:04:21 AM

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.

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3 min read

OneQuantData, Accelerating Quantitative Research

By OneTick Marketing Team on Oct 16, 2018 3:16:08 PM

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.

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2 min read

The evolution of OneTickCloud

By OneTick Marketing Team on Oct 11, 2018 5:17:22 PM

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.

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5 min read

Confidence and Fear Why Quantitative Models Win

By Louis Lovas on Oct 10, 2018 4:22:13 PM

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.

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2 min read

Making Sense of Market Fragmentation

By Louis Lovas on Oct 4, 2018 4:53:43 PM

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.

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3 min read

Big Data, The Solutions Define Its Future

By Louis Lovas on Oct 2, 2018 3:59:44 PM

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.

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