Case studies

Capital Markets Automation

Year of implementation

Industry

Financial Services & Insurance

Gatelab is an Italian fintech company that is part of the Euronext Group. It develops trading and market access solutions for global financial institutions

Development of advanced solutions forcapital markets automation, ranging from the digitization of the primary market to algorithmic trading. The Book Builder system centralizes deal creation and the dynamic allocation of orders through advanced integrations with market standards (S&P Global). At the same time, the DVA Hedge project introduces artificial intelligence into Forex trading through reinforcement learning models, capable of operating autonomously on major currency pairs and managing the entire cycle of sending orders to execution platforms.

Book Builder: an application for creating deals, tranches, and orders with automatic or manual allocation by investor type and ranking, integrated with S&P Global’s Issuenet via API (currently evolving toward GraphQL and Investor Access integration).

DVA Hedge: a forex trading system based on reinforcement learning, currently in production on the EUR/USD, EUR/JPY, and GBP/USD pairs, with autonomous agents that generate and send orders to Smart Trader.

Approach and methodology

For Book Builder: We handled the integration with external trading platforms (Issuenet) and the development of flexible allocation logic. For DVA Hedge: We worked on developing reinforcement learning agents for Symbol, which are now in production with a continuous feedback loop based on real-time market data.

Reduction in Manual Work

100

Autonomous FX Trading with Reinforcement Learning

100

Automated and Integrated Order Allocation

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