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You're reading from  Building Low Latency Applications with C++

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781837639359
Edition1st Edition
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Author (1)
Sourav Ghosh
Sourav Ghosh
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Sourav Ghosh

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.
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Measuring latencies at the exchange

First, we will add instrumentation to the components on the electronic trading exchange side – the market data publisher, the matching engine, and the order server. Our approach to measuring performance will comprise two forms; let us understand those first before we look at the code.

Understanding how to measure internally

The first approach is to measure the latency of internal components – for example, how long does a call to the Exchange::MatchingEngine::processClientRequest() method take or how long does a call to the Exchange::MEOrderBook::add() method take? For these cases, we will use a pair of START_MEASURE() and END_MEASURE() macros, which, in turn, use the rdtsc() method to measure the performance of each such call. There is nothing here that prevents us from using the TTT_MEASURE() macro in place of rdtsc() or as a supplement. But we will use rdtsc() for these, for the sake of providing examples of how to use the two...

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Building Low Latency Applications with C++
Published in: Jul 2023Publisher: PacktISBN-13: 9781837639359

Author (1)

author image
Sourav Ghosh

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.
Read more about Sourav Ghosh