Orchestra, Trading, Streaming Data
Martin Swanson
FIX Trading Conference 2025: Orchestra In Action

LONDON, March 2025 – Atomic Wire, a leading FinTech firm specializing in financial messaging data, presented at the EMEA Trading Conference 2025, showcasing its contributions to the FIX Trading Community.

The session explored how Orchestra, a machine-readable specification framework, can address challenges in financial data interoperability through encoding abstraction, semantic inheritance, message variants, and compatibility checking. Atomic Wire demonstrated its suite of Orchestra community tools—including the Orchestra Build Tools, Orchestra Hub, and Orchimate—which enable seamless multi-protocol integration and real-time SQL queries over FIX data streams.

The presentation highlighted Orchestra’s potential to enhance efficiency, reduce ambiguity, and future-proof financial data processing, positioning it as a critical enabler for the evolving financial ecosystem.

FIX Trading Conference 2025: Orchestra In Action
Streaming Data, Orchestra
Martin Swanson
Atomic Wire Joins FIX Trading Community

LONDON, April 2023 - Atomic Wire, a technology provider specializing in streaming data and vertically-aligned analytics for the financial services sector, has joined the FIX Trading Community to contribute to the development of the Orchestra standard and create community tools for working with the FIX protocol.

With a focus on real-time data architectures and analytics, Atomic Wire aims to help enhance industry standards and provide practical tools to support the efficient use of FIX and other data protocols in financial services.

Atomic Wire Joins FIX Trading Community
Streaming Data, Trading
Patrick Lucas
Flink Forward 2022: Processing ...

SAN FRANCISCO, August 2022 - What if my data is already in order? Stream processing has given us an elegant and powerful solution for running analytic queries and logic over high volumes of continuously arriving data. However, in both Apache Flink and Apache Beam, the notion of time-ordering is baked in at a very low level, making it difficult to express computations that are interested in a semantic-, rather than time-ordering of the data.

In financial services, what often matters the most about the data moving between systems is not when the data was created, but in what order, to the extent that many institutions engineer a global sequencing over all data entering and produced by their systems to achieve complete determinism. How, then, can financial institutions and others best employ Stream Processing on streams of data that are already ordered? We cover various techniques that can make this work.

Flink Forward 2022: Processing Semantically-Ordered Streams in Financial Services
Cross-Border Payments, RTGS
Martin Swanson
BIS Innovation Hub and SWIFT announce Atomic ...

SINGAPORE, March 2021 - The BIS Innovation Hub and SWIFT today announced the winners of the ISO 20022 hackathon, which invited teams to build and showcase solutions that enhance cross-border payments, using the ISO 20022 standard for payments messages and application programming interfaces (APIs).  

The winners were chosen by a panel including experts from the Bank of England, the Committee on Payments and Market Infrastructures, DBS Bank (Singapore), European Central Bank, Federal Reserve System, Innovate Finance (UK), New Payments Platform (Australia), Payments Canada, SWIFT, and Swish (Sweden).

Atomic Wire won for its highly scalable stream processing solution that performs real-time atomic settlement of FX transactions, eliminating settlement risk and removing barriers to adopting payment-versus-payment for cross-border payments.

BIS Innovation Hub and SWIFT announce Atomic Wire as winners of ISO 20022 and API hackathon

Streaming Data

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FIX Trading Conference 2025: Orchestra In Action

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FIX Trading Conference 2025: Orchestra In Action

LONDON, March 2025 – Atomic Wire, a leading FinTech firm specializing in financial messaging data, presented at the EMEA Trading Conference 2025, showcasing its contributions to the FIX Trading Community.

The session explored how Orchestra, a machine-readable specification framework, can address challenges in financial data interoperability through encoding abstraction, semantic inheritance, message variants, and compatibility checking. Atomic Wire demonstrated its suite of Orchestra community tools—including the Orchestra Build Tools, Orchestra Hub, and Orchimate—which enable seamless multi-protocol integration and real-time SQL queries over FIX data streams.

The presentation highlighted Orchestra’s potential to enhance efficiency, reduce ambiguity, and future-proof financial data processing, positioning it as a critical enabler for the evolving financial ecosystem.

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Atomic Wire Joins FIX Trading Community

,
Atomic Wire Joins FIX Trading Community

LONDON, April 2023 - Atomic Wire, a technology provider specializing in streaming data and vertically-aligned analytics for the financial services sector, has joined the FIX Trading Community to contribute to the development of the Orchestra standard and create community tools for working with the FIX protocol.

With a focus on real-time data architectures and analytics, Atomic Wire aims to help enhance industry standards and provide practical tools to support the efficient use of FIX and other data protocols in financial services.

,

Flink Forward 2022: Processing Semantically-Ordered Streams in Financial Services

,
Flink Forward 2022: Processing Semantically-Ordered Streams in Financial Services

SAN FRANCISCO, August 2022 - What if my data is already in order? Stream processing has given us an elegant and powerful solution for running analytic queries and logic over high volumes of continuously arriving data. However, in both Apache Flink and Apache Beam, the notion of time-ordering is baked in at a very low level, making it difficult to express computations that are interested in a semantic-, rather than time-ordering of the data.

In financial services, what often matters the most about the data moving between systems is not when the data was created, but in what order, to the extent that many institutions engineer a global sequencing over all data entering and produced by their systems to achieve complete determinism. How, then, can financial institutions and others best employ Stream Processing on streams of data that are already ordered? We cover various techniques that can make this work.

Artworks from Guide to Computing by Docubyte