“Horizon Trading Solutions has seen accelerated global growth over the past year to meet the rising demand for our trading solutions and built-for-purpose technology offering. The choice to rebrand represents a key part of this development, while maintaining our heritage and history in the industry.”
Horizon Software has rebranded to Horizon Trading Solutions in order to better clarify which industry the firm caters to as it attempts to further expand and cement its status as a premier global provider of electronic trading solutions.
Horizon Trading Solutions aims to enhance its electronic trading services, catering to both agency and principal trading desks with a unified platform for equities and derivatives, thereby facilitating clients’ compliance with regulatory changes and exploration of new opportunities.
“Committed to driving positive change and adding new value”
Sylvain Thieullent, CEO, said: “Horizon Trading Solutions has seen accelerated global growth over the past year to meet the rising demand for our trading solutions and built-for-purpose technology offering. The choice to rebrand represents a key part of this development, while maintaining our heritage and history in the industry. We are committed to driving positive change and adding new value for our customers, employees, and stakeholders. The team are greatly looking forward to the next stage of the company.”
The rebranding includes several key updates:
New Visual Identity: A revamped visual identity that aligns more closely with its global vision. This encompasses a redesigned logo, typography, color scheme, and imagery, embodying a forward-looking stance.
New Website: An overhaul of the company’s digital footprint through a new website, www.horizontrading.io, which promises an improved user experience and showcases the refreshed brand identity.
Enhanced Messaging: Updated brand messaging to more effectively convey the company’s values, mission, and value proposition, emphasizing Horizon’s commitment to clients and stakeholders.
With a 20-year history of empowering the most advanced players in global capital markets with sophisticated algorithmic technology and direct connectivity to exchanges and brokers worldwide, Horizon Trading Solutions promises “Performance Simplified” through client-centric partnership and a versatile multi-asset platform.
Horizon backs new methodology to identify liquidity
Horizon recently started backing a new methodology to identify liquidity after unveiling a new research paper titled “Uncovering Market Disorder and Liquidity Trends Detection,” spearheaded by Yadh Hafsi, a PhD candidate at Université Paris-Saclay.
This paper introduces an innovative methodology for detecting significant changes in market liquidity, a crucial factor in the trading industry. The research primarily aims to refine the identification of liquidity fluctuations in financial markets. Liquidity, the ease or difficulty of buying or selling assets like stocks without causing major price shifts, is a vital aspect of trading. Accurately recognizing changes in market liquidity is key for traders, investors, and financial institutions.
Horizon Software has not only supported Yadh Hafsi’s research but also plans to integrate his findings into their product offerings. This integration will enable end users to see these liquidity signals during their trading decisions and incorporate them into Horizon’s algorithms to enhance execution efficiency. Horizon is actively engaging with clients and users to tailor the research application to their specific needs, enhancing the technological benefits of this methodology.
The research paper titled “Uncovering Market Disorder and Liquidity Trends Detection” focuses on developing a new methodology to detect notable changes in liquidity within order-driven markets. This paper is significant for several reasons:
- Objective and Methodology: The primary objective is to develop a method for dynamically quantifying the level of liquidity of a traded asset using its limit order book data. The approach employs Marked Hawkes processes to model trades-through, which serve as a proxy for liquidity. The aim is to accurately identify moments of significant increase or decrease in liquidity intensity, using a minimax quickest detection problem approach for unobservable changes in a doubly-stochastic Poisson process.
- Importance of Liquidity in Trading: Liquidity is crucial for the efficient functioning of markets. It is defined as the ability of an asset to be traded rapidly, in significant volumes, with minimal price impact. Measuring liquidity involves considering time, volume, and price, including aspects like the tightness of the bid-ask spread, the depth of the limit order book, and its resilience. This measure is essential for capturing transaction costs and assessing the depth accessible to large market participants.
- Liquidity Regime Change Detection Methodology: The paper introduces a novel liquidity regime change detection methodology. This method assesses the resilience of an order book using tick-by-tick market data and is aimed at understanding the dynamics of liquidity changes and their impact on the distribution patterns of the liquidity proxy.
- Identification of Liquidity Regimes: After the modeling phase, the proxy is used to identify intraday liquidity regimes. This involves detecting when the distribution of liquidity undergoes changes as fast as possible, a process known as “Quickest change-point detection” or “Disorder detection”.
- Distinguishing Liquidity Regimes: The methodology enables the distinction between different liquidity regimes by detecting changes or disruptions in the distribution of the liquidity proxy, represented by the number of trades-through. This involves a sequential detection methodology that compares the distribution of observations to a predefined target distribution, with the objective to detect changes rapidly while minimizing false alarms.
