High-Frequency Trading (HFT)
Delve into the advanced world of high-frequency trading, focusing on low-latency strategies, market microstructure, and specialized infrastructure using C++.
9 courses
Learn to build responsive, real-time web interfaces by updating multiple page elements in a single request using HTMX out-of-band swaps and a Go backend.
Model stock trade settling periods and calculate optimal execution times using modern C# logic and frequency-counting algorithms.
Learn to build efficient trade tracking algorithms in Kotlin using frequency maps and min-heaps to identify top-performing brokers in real time.
Master Java thread safety and lock-free programming using atomic variables to build high-performance, low-latency bidding systems.
Learn to handle high-concurrency auction bids using non-blocking Java APIs, optimistic locking, and thread-safe structures without traditional lock overhead.
Learn to design automated trading strategies and manage investment portfolios using modern quantitative analysis and risk management techniques.
Build a clear conceptual map of how high-frequency trading works, what makes it different from other algorithmic strategies, and why infrastructure matters as much as code.
Walk through the design choices, data structures, and engineering tradeoffs behind a simple low-latency trading strategy expressed in modern C++ terms.
Understand the different roles inside a high-frequency trading firm and map a realistic path from your current background into one of them.