A critical component that determines an algorithm’s success in sourcing liquidity is how it rebalances—or decides which venues to route to based on where it already sent orders and received fills. Many algorithms claim to "intelligently" source liquidity but still rely on static previous-fills heatmap data. However, if you use a genuinely dynamic Liquidity Awareness Signal, it's possible to achieve a nearly 500% improvement in hit rates for midpoint orders*.
Concerns about conflicts of interest have long been top of mind for players in the equity trading space. There's been no shortage of discussion around protecting the interests of end-investors and rooting out conflicts in broker routing. Much of the industry's regulation aims to address those conflicts, including the SEC's proposed Transaction Fee Pilot. Had the pilot received approval, it would have studied how exchanges' pricing may create conflicts of interest for broker-dealers, which in turn may harm investors.
For the first time in 20 years, we witnessed a Level 1 cross-market trading halt on March 9, 2020. It was followed by three more days where the Level 1 market-wide circuit breakers (MWCB) were triggered and the markets halted due to significant market declines with the potential of exhausting market liquidity.
We are tremendously excited to share the news that Clearpool has agreed to be acquired by BMO!
The title of a recent blog post, “How Fast Should You Trade”, brought me back to the early ’90s and one of my favorite rap songs, “Sometimes I Rhyme Slow Sometimes I Rhyme Quick”, by Nice and Smooth.
The massive amount of market data available in the current day is both a boon and a burden. More information can lead to making smarter decisions, but does the glut of data lead somewhat to paralysis by analysis?
As we enter the season of market structure conferences, we are sharing Clearpool's annual Market Structure Viewpoints—our view of some of the most pressing equities market microstructure matters that support transparency and fair and equitable access to our markets.
By definition, rebalancing—also known as reloading—is an algorithm's ability to dynamically respond to source additional liquidity based on its assessment of the liquidity landscape after its baseline route to the “Street”.
The traditional relationship between the buy side and the sell side is in flux. With factors such as the unbundling of research and execution dollars, the democratization of equities trading technology offerings, and new and more dynamic regulatory requirements, the usual paradigm between brokers and clients has been drastically changed. Brokers’ clients have evolving needs and they face shifting challenges, which necessitates a corresponding change in how the sell side serves them. So, in this new landscape, what traits does the buy side look for in their brokers, and how do brokers differentiate themselves and demonstrate unique value?
Clearpool was awarded Best Algorithmic Trading Provider at the 17th annual Waters Rankings that took place at the Manhattan Penthouse on July 10, 2019. Accepting the award at the ceremony, Brian Schaeffer, Clearpool's Co-Founder and President, said "We are humbled and honored to receive this recognition. This is a testament to all the hard work the dedicated team at Clearpool has put in to bring our truly unique trading solutions to market."