Algorithmic trading
Getting the message out about Aeron’s messaging
A year after Adaptive’s acquisition of Real Logic’s Aeron, the search for users of the open-source tech continues as Adaptive promises that UDP messaging can usurp TCP.
ICE to offer ultra-low latency data between the US and Europe
The offering will run eastward, connecting routes in the US with European markets in London, Frankfurt, and Bergamo.
Technology trends in capital markets: Transforming the sell-side FX front office
The capital markets landscape is witnessing a technological revolution – a wave transforming the sell-side FX front office. Firms such as smartTrade Technologies are at the forefront of this transformation, leveraging technologies such as artificial…
Goldman’s Marquee is a gradual revelation
Multiple apps are being corralled into a sticky cross-asset ecosystem, updated with Python and cloud
Terminal velocity: MarketAxess bets on algo trading as electronification of fixed income gathers speed
MarketAxess hopes to bring fresh ideas from other asset classes with acquisition of multi-asset algorithm provider Pragma.
BoE model risk rule may drive real-time monitoring of AI
New rule requires banks to rerun performance tests on models that recalibrate dynamically.
RBC eyes AI to bolster FX and rates algos
Canadian bank plans to take deep reinforcement learning tech from equities to fixed income and currencies
Can algos collude? Quants are finding out
Oxford-Man Institute is among those asking: could algorithms gang up and squeeze customers?
Spot the difference: Why crypto data can’t be treated like traditional market data
As institutional participation in cryptocurrency markets increases, traditional data vendors and new specialist crypto data providers are taking different approaches to supplying necessary data to financial firms.
This Week: Bloomberg; Charles River, DTCC, SmartStream & More
A summary of the latest financial technology news.
Barclays (and others) strive for machine learning at quantum speed
Embryonic work on quantum neural networks raises hope of faster, more accurate models
People Moves: Digital Asset, Coalition Greenwich, NZX, Symphony, and more
A look at some of the key "people moves" from this week, including J. Christopher Giancarlo (pictured), who joins the board of directors of Digital Asset.
The future of algo trading: Using deep learning to more accurately predict equity market volumes
OpEd by Sam Clapp, Mizuho Americas equities, and Don Hundley, Japan head of Mizuho equities electronic trading
Buy one, get one free: Algos learn to multi-task
For years, brokers have offered suites of algorithms, each geared toward a certain strategy and outcome. Now, firms are compressing these into multifaceted algorithms that can switch between different strategies or markets in response to trading…
Burden of Proof: Meet the IEX breakaways looking to shake up broker algos
Founded with the principles of “transparency and academic rigor,” some say Proof’s model and technical approach is a test case for a new generation of cloud-native broker startups.
This Week: BNY Mellon/Milestone Group, IHS Markit, Broadridge/China Renaissance, and more
A summary of some of the past week’s financial technology news.
Waters Wrap: Broadway Technology, Symphony, and new beginnings (And other new CEOs)
Anthony takes a look at some major CEO changes from the last year, and what those moves might mean for clients of those vendors.
Banks fear Fed crackdown on AI models
Dealers say the agencies’ request for info could prompt new rules that stifle model innovation.
Four years of academic study on HFT yields complicated results
A transatlantic group of researchers has examined a treasure trove of market data to see whether or not high-frequency trading is a necessary component of today’s market structure. The answer is largely ‘yes,’ but with caveats.
One step closer: How exchanges are seeking tighter relationships with clients
Increasingly, exchanges are trying to get closer to their customers, in a bid to better understand how they use market data. This move may come at the expense of data vendors that are being gradually squeezed out of the exchange-client relationship.
Inside RBC’s Aiden project: 5 years of deep learning
Aiden, a trading platform launched last year, is the product of five years of experimentation with deep learning by RBC Capital Markets on top of an additional five years of hypothesizing about what best execution would one day require.
CDS trading remains stubbornly human
Buy-sider traders remain skeptical of the benefits of algo execution for credit derivatives.
Futures trading algos ripe for disruptive new entrants
Algorithm development specialist BestEx Research is making a play to address inefficiencies in futures trading algorithms.
QuantConnect Brings Low-Code Principles to Quant Finance
Later this year the vendor is looking to allow users to clip together various components of an algorithmic trading strategy, making it easier for users with limited programming skills to build their own trading strategies.