What is algorithmic trading?
Algorithmic trading uses computer models to automate the pricing of customer inquiries in competitive bidding processes.
Finance / Markets
HSBC and IBM have achieved a significant milestone by demonstrating the world's first quantum-enabled algorithmic trading in the bond market. This collaboration leverages the power of quantum computing to optimize bond trading strategies, p...
HSBC and IBM collaborated to explore the use of quantum computers in optimizing requests for quote (RFQ) in over-the-counter (OTC) markets. Algorithmic trading strategies were enhanced using quantum computing techniques, leading to better predictions of trade execution probabilities. This involved validating real production-scale trading data on IBM quantum computers to predict the likelihood of winning customer inquiries in the European corporate bond market. The successful integration of quantum computing with classical workflows signifies a major step towards practical applications of quantum technology in finance.
This development signals a potential shift in how financial institutions approach algorithmic trading and risk management. By leveraging quantum computing, companies can potentially gain a competitive advantage in fast-paced and complex markets.
Algorithmic trading uses computer models to automate the pricing of customer inquiries in competitive bidding processes.
Quantum computing can unravel hidden pricing signals in noisy market data, leading to better predictions of trade execution probabilities.
IBM provided its Heron quantum processor and expertise in quantum algorithms to augment classical computing workflows.
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