Introducing Aiden VWAP to Australia

RBC brings a decade of algorithmic innovation to Australian capital markets.

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By Johnny Lau
Published | 1 min read

Key points

  • AI and deep reinforcement learning are becoming critical for algorithmic trading success. Market participants increasingly demand to navigate evolving market conditions.
  • Unlike traditional VWAP algorithms, Aiden VWAP processes through deep neural networks and learns continuously from trade performance, and execute orders at optimal prices.
  • Now available in Australia, RBC brings to the local market. Aiden VWAP aims to deliver superior trading execution quality and insights.

In Australia's increasingly sophisticated financial markets, where precision execution can determine trading success, advances in AI and real-time deep reinforcement learning are enhancing the next generation of algorithmic trading capabilities. The growing impact of AI technologies on electronic trading is significant, as market participants demand enhanced execution quality, real-time adaptability, and operational efficiency in the face of evolving market microstructure.

With the goal of enhancing overall trade execution quality for our clients, Aiden VWAP uses deep reinforcement learning to learn from its experiences in the market and adjust to changing market conditions in real-time while leveraging RBC's existing, robust control infrastructure. Aiden VWAP seeks improved performance by reducing slippage against the Volume Weighted Average Price benchmark.

Since launching in North America in 2020 and expanding to European markets in 2023, Aiden has demonstrated its ability to navigate volatile market environments while maintaining consistent performance, without requiring constant manual recalibration. Now available in Australia, the platform brings its proven ability to handle complex market dynamics to the local market, with the objective of delivering superior trading execution quality and actionable insights.

Optimising VWAP execution with advanced AI

Aiden VWAP represents the first algorithm on the Aiden platform in Australia – a volume-weighted average price strategy that harnesses AI and deep reinforcement learning to incentivise optimal outcomes, targeting minimal slippage against the VWAP benchmark.

Unlike conventional VWAP algorithms, Aiden VWAP incorporates diverse market data streams with over 200 inputs processed through a deep neural network architecture. Within guardrails, it is given discretion to optimise its behaviour, learning from its performance both during and after the trade. Aiden proactively explores new trading patterns within defined parameters. It has the freedom to discover and act upon new patterns that aim to deliver better execution outcomes. This adaptability ensures Aiden’s execution strategies remain robust across various scenarios, including periods of market volatility.

Leading market innovation

Beyond the Aiden VWAP algorithm, RBC continues to innovate and expand its algorithmic capabilities. In 2022, the launch of Aiden Arrival Price in North America marked the second AI-driven execution algorithm addressing Arrival Price benchmarks. Featuring an enhanced action set, Aiden Arrival Price provides increased control over execution trajectories. It targets reduced slippage against Arrival Price benchmarks through an advanced reward framework and utilisation of over 300 data inputs, enabling continuous performance enhancement. RBC is actively working towards introducing Aiden Arrival Price to our clients globally.

In algorithmic trading, AI serves as a transformative force establishing new performance standards and client expectations. Throughout this evolution, maintaining technological agility remains essential.

With its adaptive capabilities and execution precision, the Aiden platform offers clients a compelling solution for optimising trade execution, providing a competitive edge in navigating today's dynamic market environment.

Our expert

Johnny Lau
Johnny Lau
Head of Electronic Trading, Australia, RBC Capital Markets

 

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