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dxFeed, a provider of market data and financial technology solutions, has won the Waterstechnology Asia Awards 2026 in the Best AI-based Solution category for its AI-powered anomaly detection service, dxFeed Grenadier.
The award recognises Grenadier's ability to detect anomalies in Level 2 order book data in real time, providing market participants with early warning signals ahead of significant price dislocations or trading disruptions.
According to the awards organisers, this year's competition was the most contested in the programme's history, with an independent judging panel assessing a record number of entries.
Grenadier is built on proprietary autoencoder architectures and continuously analyses live order book activity against learned baseline behaviour. The system is designed to identify signs of regime changes, potential trading halts and unusual order placement patterns before they are reflected in price movements.
Institutional clients can access anomaly signals through an API, use a model-filtered order book view, or deploy custom PyTorch-compatible models configured to their own risk requirements.
The platform's capabilities include proprietary deep learning models for processing Level 2 order book data, real-time monitoring across multiple instruments and portfolios, order book reconstruction to identify structural irregularities and liquidity dynamics, and deployment options that support both cloud and on-premises environments.
Anton Antonov, Head of AI and Quant Research, dxFeed
Anton Antonov, Head of AI and Quant Research, dxFeed said:
“This recognition by Waterstechnology validates what we set out to build: a production-grade AI tool that integrates directly into the data infrastructure institutional clients already utilize. Grenadier turns raw L2 data into actionable market intelligence — at the speed markets demand,”
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dxFeed has won the Waterstechnology Asia Awards 2026 Best AI-based Solution category for its Grenadier platform, which uses proprietary deep learning models to detect anomalies in Level 2 order book data in real time. The technology provides early warning signals of market disruptions and trading irregularities.
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