Low-Latency Systems from Feed Handler to Execution Gateway
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Trading systems are judged in microseconds, and the difference between a design that holds up and one that fails often comes down to memory layout, a hidden allocation or a lock in the wrong place. If you already write solid modern C++, this book shows you how to apply it where speed and correctness both matter.
You build a complete trading stack from the network edge inward. You begin with low-latency architecture and memory discipline, then move through market connectivity, feed handlers and message parsing into normalised data pipelines. From there you construct an order book and matching engine foundations, an order management system and execution gateway, and a strategy engine with a risk gateway.
A low-latency C++ trading stack with market data handling, order book, OMS, strategy framework, risk gateway, and benchmarking harness
Low-Latency Architecture in C++ - Establish the architectural and performance mindset needed before writing hot-path trading code.
Market Connectivity and Feed Handlers - Build the network-facing layer that ingests market data and maintains session health under load.
OMS and Execution Gateway - Build the order management and execution path that sits between strategy output and venue interaction.
Simulation and Backtesting Infrastructure - Create a replay and simulation environment that reuses the same system contracts used by the live stack.
Concurrency, Lock-Free Structures, and Memory Ordering - Teach multi-threaded trading system design including atomics, lock-free queues, memory fences, cache-line contention
Quant Trading with C++ is a practical book from AlgoCracked Series. Trading systems are judged in microseconds, and the difference between a design that holds up and one that fails often
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