Market Trading
- Algorithmic Trading & DMA by Barry Johnson (2010), reviewed by Scott C. Locklin
- Inside the black box, by Rishi K. Narang (2009)
- The Truth About High-Frequency Trading: What Is It, How Does It Work, and Is It a Problem?, by Rishi K. Narang (2014), reviewed
- Algorithmic and High-Frequency Trading by Cartea, Jaimungal, and Penalva, Cambridge, 2015
- MIT course 15.487 Algorithmic Trading and Quantitative Investment Strategies syllabus (Spring 2017)
- All about hedge funds, by Ezra Zask (2nd edition, 2013)
- Active Portfolio Management, by Grinold and Kahn (2000), reviewed by Scott C. Locklin. A follow-up was published in 2019.
- Trading and Exchanges, by Larry Harris (2002)
- Modern Portfolio Theory and Investment Analysis, by Elton, Gruber et. al.
- Investments, by Bodie, Kane and Marcus
- Finance Theory I, by Andrew Lo, MIT open courseware
- Data Mining, by Witten and Frank
- Python for Data Analysis, by McKinney
- MIT IAP 2020: The business of quant: Lecture 1 2 3 4, by Rohit Singh
- Value and Utility Functions, lecture slides from Darthmouth ENGS41 class
- Medium.com: Trade Sizing & Kelly Fraction I, I, III, by Joshua Greenwald
-
The Man Who Solved the Market, by G. Zuckerman (2019)
- Podcasts at chatwithtraders.com
- EP 054: Components of a black box, humans versus computers, and high frequency trading w/ @RishiKNarang
- EP 118: Trading technology, alternative data, and originality w/ Manoj Narang<
- EP 170: The technology edge - how a team of options market makers found success in Asia w/ Joshua Greenwald
- EP 178: Create a Simple Trend Following System - Nick Radge
- EP 77: How to be a profitable short-term trader in a high frequency world - Dennis Dick