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Distributed Computing is the Future of Quant Trading

Distributed Computing is the Future of Quant Trading

Posted April 20, 2020
Andrew Nassief
QuantPortal LLC

Distributed Computing or the process of offloading data across a panel of interconnected computers or clusters, is the future of Quant trading. Not only have people been doing this for a while, but people have found ways to multi-thread processes on their own machine utilize distributed computing-like mechanisms. In today’s age of high frequency trading, algorithmic capabilities and the proficiency of speed can be greatly impacted by utilizing distributed computing in order to optimize the performance of a trader’s algorithm.

This can especially be critical when looking at reinforcement learning or helping offloading more financial data for trading models. Live trading can also optimize speed, learning capabilities, and lower the processing impact while improving latency for a trader’s computational systems utilizing custom distributed computing architecture.

Visit QuantPortal LLC website to learn how to get started with methods such as Decentralized-Internet SDK, dispy for Python, EECluster, or migrid.

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This material is from QuantPortal LLC and is being posted with its permission. The views expressed in this material are solely those of the author and/or QuantPortal LLC and Interactive Brokers is not endorsing or recommending any investment or trading discussed in the material. This material is not and should not be construed as an offer to buy or sell any security. It should not be construed as research or investment advice or a recommendation to buy, sell or hold any security or commodity. This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.

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