A Primer on Quant Trading

What you’ll learn:
Learn the fundamentals of quantitative trading
Analyze liquidity and market impact from tick data
Understand optimal execution of orders
Master the mathematical foundations of quant trading

Requirements:
Basic Python
Calculus

Description:
In this course, we put a definite emphasis on real-world cases and hands-on experience. Each section starts with an analysis of tick data and/or a numerical simulation, from which we develop an intuition for what the right approach should be. You get to download the Python scripts and data samples, and start experimenting with them right away. Then, we introduce theoretical tools and models as needed — always explained from first principles and fully worked-out computations — in order to solve the particular problem studied in the section and get a deeper understanding of all its aspects. Let’s dive right in!  Contents:Order book: Statistics, Dynamics, and Modeling1.1 Book size and shape — empirical observations1.2 Diffusion models of the order book1.3 The Bouchaud-Mézard-Potters modelLiquidity Provision: Market-Making and the Avellaneda-Stoikov Model2.1 A basic market-making strategy; Fundamental rules of market-making2.2 The Avellaneda-Stoikov model Market Impact, Spread, Liquidity3.1 Measuring market impact on trade data3.2 A simple market impact model without feedback3.3 A comprehensive model with feedbackOptimal Execution4.1 The liquidation problem: numerical experiments4.2 The case without drift: a stochastic control approach4.3 The case with drift

Who this course is for:
Students in science of finance programs
Developers / Quants who want to branch out into, or learn more about, quant trading
Anyone who’s curious about the foundations of systematic, quant trading