Books

Before 2013

• ...
• Діти капітана Гранта by Жюль Верн
• [+] Лезвие бритвы by Иван Ефремов
• Пригоди Шерлока Холмса і доктора Ватсона by Артур Конан Дойль
• [+] Just for Fun: The Story of an Accidental Revolutionary by Linus Torvalds and David Diamond
• [+] I, Woz: Computer Geek to Cult Icon: Getting to the Core of Apple's Inventor by Steve Wozniak
• [+] Getting Things Done: The Art of Stress-Free Productivity by David Allen
• [+] ReWork: Change the Way You Work Forever by Jason Fried and David Heinemeier Hansson
• Purple Cow: Transform Your Business by Being Remarkable by Seth Godin
• Bridge to Terabithia by Katherine Paterson
• [+] The Great Gilly Hopkins by Katherine Paterson

2013

• Remote: Office Not Required by David Heinemeier Hansson and Jason Fried
• The $100 Startup: Fire Your Boss, Do What You Love and Work Better to Live More by Chris Guillebeau
• [+] The 4-Hour Work Week: Escape the 9-5, Live Anywhere and Join the New Rich by Timothy Ferriss
• A Japanese Schoolgirl by Yoko Kajihara
• HTML5: Up and Running by Mark Pilgrim
• [+] Two Scoops of Django: Best Practices for Django 1.5 by Daniel Greenfeld and Audrey Roy

2014

• [+] Rich Dad Poor Dad: What The Rich Teach Their Kids About Money That the Poor and Middle Class Do Not! by Robert T. Kiyosaki
• The Richest Man in Babylon by George S. Clason
• [+] Learning scikit-learn: Machine Learning in Python by Raúl Garreta and Guillermo Moncecchi
• [+] Introduction to Tornado by Michael Dory
• [+] Redis Applied Design Patterns by Arun Chinnachamy
• The Moe Manifesto: An Insider's Look at the Worlds of Manga, Anime, and Gaming by Patrick W. Galbraith
• Forrest Gump by Winston Groom
• Growth Hacker Marketing: A Primer on the Future of PR, Marketing and Advertising by Ryan Holiday

2015

• Data Science for Business: What you need to know about data mining and data-analytic thinking by Foster Provost and Tom Fawcett
• [+] Learning Apache Cassandra by Mat Brown
• Cassandra Data Modelling and Analysis by C.Y. Kan
• The Docker Book: Containerization is the new virtualization by James Turnbull
• [+] Building Microservices by Sam Newman
• Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future by Ashlee Vance
• Dive into Python by Mark Pilgrim
• A Tale for the Time Being by Ruth Ozeki
• [+] Fluent Python by Luciano Ramalho
• React.js Essentials by Artemij Fedosejev
• The New Digital Age: Reshaping the Future of People, Nations and Business by Eric Schmidt and Jared Cohen
• Get Going! Life is Short!: How to motivate yourself and achieve your goals. Seven easy steps for long-term change by Fred Juliusson
• [+] The China Study by T. Colin Campbell, Thomas M. Campbell II
• ClosureScript: Up and Running by Stuart Sierra and Luke VanderHart
• The Swift Programming Language by Apple Inc.

2016

• [+] The Monk Who Sold his Ferrari by Robin Sharma
• Eight Lessons I learnt From Losing 30k in My Quest by Ken Chong
• IOS 8 APP Development Essentials - Second Edition: Learn to Develop iOS 8 Apps using Xcode and Swift 1.2 by Neil Smyth
• Australia: A Very Short Introduction by Kenneth Morgan
• [+] SQL Antipatterns: Avoiding the Pitfalls of Database Programming by Bill Karwin
• The Great Gilly Hopkins by Katherine Paterson
• [+] Meaningful: The Story of Ideas That Fly by Bernadette Jiwa
• Wrong Attitude: A brief guide to living and visiting Thailand by Steve Price
• [+] Elasticsearch: The Definitive Guide by Clinton Gormley, Zachary Tong
• AWS Lambda: A Guide to Serverless Microservices by Matthew Fuller
• A Practical Guide to Designing for the Web by Mark Boulton
• A Brief History of Time: From Big Bang To Black Holes by Stephen Hawking
• Chiang Mai Bucket List by Antonio Araujo (top places in Chiang Mai, Thailand)
• How to make a Living with Your Writing by Joanna Penn
• Bautiful Fighting Girl by Sait Tamaki
• [+] The Art of Startup Fundraising by Alejandro Cremades
• [+] The 7 Day Startup: You Don't Learn Until You Launch by Dan Norris and Rob Walling
• Node.js: JavaScript based framework. Easy Guide Book by Rick L.
• [+] Learning React Native: Building Native Mobile Apps with JavaScript by Bonnie Eisenman
• 10 Secrets of the New Rich by Kevin J Donaldson
• Cool Japan: A Guide to Tokyo, Kyoto, Tohoku and Japanese Culture Past and Present by Sumiko Kajiyama
• [+] Node.js the Right Way: Practical, Server-Side JavaScript That Scales by Jim R. Wilson
• [+] Traction: How Any Startup Can Achieve Explosive Customer Growth by Gabriel Weinberg and Justin Mares
• That's Not How We Do It Here!: A Story about How Organizations Rise and Fall and Can Rise Again by John Kotter and Holger Rathgeber
• Innovation Thinking Methods by Osama A. Hashmi
• The Startup Checklist: 25 Steps to a Scalable, High-Growth Business by David S. Rose
• Thailand: 99 Travel Tips by The Blether
• Japan: the ultimate Japan travel guide by a traveler for a traveler
• My Experiments with Truth: An Autobiography of Mahatma Gandhi
• [+] The End of Jobs: Money, Meaning and Freedom Without the 9-to-5 by Taylor Pearson
• SEO 2016: Learn search engine optimization with smart internet marketing strategies by Adam Clarke
• Blockchain: The Comprehensive Guide to Mastering the Hidden Economy by Timothy Short
• 101 jobs you can do anywhere in the world by Sonya Duck
• Phuket 25 secrets by Antonio Araujo
• Getting Things Done (2015 edition) by David Allen
• Learning Python Design Patterns by Gennadiy Zlobin

2017

• Wake Up Successful by S.J. Scott
• [+] Learning Scrapy by Dimitris Kouzis-Loukas
• [+] The book of Satoshi: The collected writings of bitcoin creator Satoshi Nakamoto by Phil Champagne
• Machine learning with random forests and decision trees by Scott Hartshorn
• Culture & Empire: Digital Revolution by Pieter Hintjens
• [+] Ansible for DevOps by Jeff Geerling
• Terraform: Up and Running by Yevgeniy Brikman
• [+] Designing Data-Intensive Applications by Martin Kleppmann
• Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo
• Investing in Ethereum: Understanding Cryptocurrencies for the Smart Investor by Michael K. Nungesser
• Top 10 Trading Setups: How to Find them, When to Trade them, How to Make Money with them by Ivaylo Ivanov
• Charting and Technical Analysis by Fred McAllen
• [+] The Internet of Money Volume Two by Andress M. Antonopoulus
• Evidence-Based Technical Analysis by David Aronson

2018

• [+] A Complete Guide to Volume Price Analysis by Anna Coulling
• [+] Trading the Trends by Fred McAllen
• Investing and Trading in Crypto currencies using volume price analysis by Anna Coulling
• Ethereum DApps for Web developers by Asif Mallik
• Building Blockchain Projects with Ethereum and Solidity by Narayan Prusty
• [+] Mastering Bitcoin: Programming the Open Blockchain by Andreas M. Antonopoulos
• Reinforcement learning by Richard S. Sutton and Andrew G. Barto
• [+] An Altcoin Trader's Handbook by Nik Patel
• [+] The Roard to learn React by Robin Wieruch
• [+] How to Win Friends & Influence People by Dale Carnegie

2019

• Dark Pools: The rise of A.I. trading machines and the looming threat to Wall Street by Scott Patterson
• Millionaire Road Maps (Volume 3) by Matthew R. Kratter
• 15 Secrets Successful People Know About Time Management by Kevin Kruse
• Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen
• Spy the Lie by Philip Houston, Michael Floyd, Susan Carnicero, Don Tennant
• The Da Vinci Code by Dan Brown

2020

• Beginning Apache Spark 2 by Hien Luu
• [+] Successful Traders Size Their Positions - Why and How? by Tom Basso
• Volume Profile by Trader Dale

2021

• Docker Deep Dive by Nigel Poulton
• Mastering Trading Psychology by Andrew Aziz, Mike Baehr
• Trade the Trader by Tatro Quint
• How to see a Breakout, before it really happens by Sudhir Dixit
• [+] Trading for a Living by Alexander Elder
• Price Action Trading Secrets by Rayner Teo
• Secrets on fibonacci trading by Frank Miller
• Elliott Waves Made Simple by Steve Sinclair
• Electron Projects by Denys Vuika
• [-] Learn Algorithmic Trading by Sebastien Donadio and Sourav Ghosh
• [+] Pandas for Everyone by Chen Naniel Y.
• Jupyter Notebook 101 by Michael Driscoll
• Chart Logic by R.S. Varnes J.D.
• Hands-On Financial Trading with Python by Jiri Pik, Sourav Ghosh
• [-] Trading Within the Box by T. Livingston
• The Achievement Habit by Bernard Roth
• Crypto Investor Mindset by Wolfgang Fallmann
• The Tao of Trading by Simon Ree
• The Ultimate Guide to Swing Trading by Steve and Holly Burns

2022

• [+] The Man Who Solved the Market by Gregory Zuckerman
• The Quiet Trader by Atanas Matov
• [+] Quantitative Trading by Ernest P. Chan
• The Ruby Programming Language by David Flanagan and Yukihiro Matsumoto
• Python 3 Standard Library by Example by Doug Hellmann
• [+] Domain-Driven Design by Eric Evans

2023

• Staff Engineer by Will Larson
• [+] Clean Code by Robert C. Martin
• Job Stacking by J. Rolf Haltza
• The Peter Principle: Why Things Always Go Wrong by Laurance J. Peter, Raymond Hull
• Trading with the Trendlines by David Carli
• Working with the Thais by Henry Holmes, Suchada Tangtongtavy, Roy Tomizawa
• Clean Architecture by Robert C. Martin
• [+] Extreme Programming Exaplained by Kent Back, Cynthia Andres
• The Parts Of Us That Still Remain by Atsuyuki Katsuyama, Iain White
• [+] Learning Domain-Driven Design by Vlad Khononov
• Programming Rust (2nd edition) by Jim Blandy, Jason Orendorff, and Leonora F. S. Tindall
• [+] Architecture Patterns with Python by Harry Percival, Bob Gregory
• Advances in Financial Machine Learning by Marcos Lopez de Prado

2024

• Implementing Domain-Driven Design by Vernon Vaughn
• [+] The Clean Coder by Robert C. Martin
• Algorithmic Trading: Winning Strategies and Their Rationale by Ernie Chan
• Refactoring UI by Adam Wathan, Steve Schoger
• How to Make Money With Breakout Trading by Indrazith Shantharaj
• Order Flow by Trader Dale
• [+] Pit Bull by Paul Flint
• Lost and Founder by Rand Fishkin
• [+] Unknown Market Wizards by Jack D. Schwager
• [+] The New Trading for a Living by Alexander Elder
• Mastering the Trade by John Carter
• The Rust Prograsmming Language

2025

• [+] A Man for All Markets by Edward Thorp
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron
• [+] Agentic Artificial Intelligence by Pascal Bornet

In progress

• AI Engineering by Chip Huyen
• Build a Large Language Model (From Scratch) by Sebastian Raschka
• Software Architecture: The Hard Parts by Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani
• The Master Swing Trader by Alan Farley
• Machine Trading: Deploying Computer Algorithms to Conquer the Markets by Ernie Chan
• Advanced Algorithmic Trading by Michael Halls-Moore
• Wool by Hugh Howey
• Design It! by Michael Keeling
• https://developers.google.com/tech-writing/one/clear-sentences
• Grocking Simplicity by Eric Normand
• Reinforcement Learning, second edition by Andrew G. Barto, Richard S. Sutton
• Deep Reinforcement Learning Hands-On by Maxim Lapan
• Effective TypeScript by Dan Vanderkam
• Principles for Dealing with the Changing World Order by Ray Dalio
• The Electronic Day Trader by Mark Friedfertig and George West
• RSI Trading by Glenn Wilson
• Persuadable: How Great Leaders Change Their Minds to Change the World by Al Pittampalli
• Machine Learning for Algorithmic Trading by Stefan Jansen
• The Options Playbook by Brian Overby
• UX Strategy by Jaime Levy
• Effective Testing with RSpec 3: Build Ruby Apps with Confidence by Myron Marston, Ian Dees
• Entry and Exit Confessions of a Champion Trader by Kevin J. Davey
• Data Science from Scratch: First Principles with Python by Joel Grus
• Data Science for Business by Foster Provost and Tom Fawcett
• The art of clean code: https://www.amazon.com/Art-Clean-Code-Practices-Complexity/dp/1718502184
• 99 bottle of oop: https://sandimetz.com/99bottles
• software architecture the hard parts: https://www.amazon.com/Software-Architecture-Trade-Off-Distributed-Architectures/dp/1492086894
• Trade Like a Casino by Richard L. Weissman

To read

• Clean Architecture in Python by Leonardo Giordani
• https://fxgears.com/index.php?threads/recommended-books-for-algo-trading-in-2020.1243/
• Clean Architecture by Robert Martin
• https://dou.ua/lenta/articles/top-books-2022/
• Working Effectively with Legacy Code by Michael C. Feathers
• Algorithms Illuminated: Part 1: The Basics by Tim Roughgarden
• Extreme programming explained by Beck
• Surviving Object Oriented Projects by Cockburn
• Architects of Intelligence by Matin Ford
• The Art and Science of Trading by Adam Grimes
• Candelsticks by John Martin
• Chiang Mai 55 Secrets Bcket List by Antonio Araujo and Natcha Pongsuriyakarn
• Cryptocurrency Passive Income by Steve Logan
• Culture & Empire: Digital Revolution by Pieter Hintjens
• Data Science for Executives by Nir Kaldero
• Designing Bots by Amir Shevat
• Developing Brilliant Writing Skills by Roy Horn
• Elements if Style by William Strunk Jr.
• Forex for Beginners by James Stuart
• Forex Made Simple by Alpha Balde
• Forex: Trading Successfully for Beginners by F.R. Commerce
• Getting Real by Jason Fried, Hanson Heinemeier, Matthew Linderman
• Gump & Co. by Winston Groom
• How to Day Trade for a Living by Andrew Aziz
• Instant PostgreSQL Starter by Daniel K. Lyons
• Instant Thai by Stuart Robson and Prateep Changchit
• Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Stein Clifford
• Jesse Livermore's Methods of Trading in Stocks by Richard Wyckoff
• Landing Page Optimization by Tim Ash
• Learn D3.js by Helder Da Rocha
• Learn to Trade Momentum Stocks by Matthew R. Kratter
• Machine Learning for Absolute Beginners by Oliver Theobald
• Make Your Own Neural Network by Tariq Rashid
• Making Games with Python & Pygame by Al Sweigart
• The Manager's Path by Camille Fournier
• Managing for Results by Peter F. Drucker
• The Mathematical Corporation by Josh Sullivan and Angela Zutavern
• Beautiful Fighting Girl by Sait Tamaki
• New Concepts in Technical Trading Systems by J. Welles Wilder
• Non-Obvious by Rohit Bhargava
• Online Startup by Ryan Stevens
• Python for Data Analysis by Wes Mckinney
• The Self-Taught Programmer by Cory Althoff
• Statistics for Absolute Beginners by O. Theobald
• Trading Evolved by Andreas Clenow
• Patterns of Enterprise Application Architecture by Martin Fowler

Abandoned

• The Staff Engineer's Path by Tanya Reilly (42%)
• Managing for Results by Peter F. Drucker (19%)
• The Happiness Project by Gretchen Rubin (55%)
• The Backpacker by John Harris (13%)
• Be Bad First: Get Good at Things Fast to Stay Ready for the Future by Erika Andersen (23%)
• Site Reliability Engineering: How Google Runs Production Systems by Jennifer Petoff, Niall Richard Murphy, Betsy Beyer, Chris Jones (14%)
• Monetizing Innovation by Madhavan Ramanujam and Georg Tacke (49%)
• Chaos Monkeys: Obscene Fortune and Random Failure in Silicon Valley by Antonio Garcia Martinez (5%)
• The Disease-Free Revolution by Ron Garner (7%)
• The Founder's Mentality by Chris Zook and James Allen (1%)
• The Most Basic Japanese - All You Need to Know to Get By by James McGlasson
• Japanese: Japanese in 10 days! by Patrice Lowe
• Mastering Bitcoin: Unlocking Digital Cryptocurrencies by Andreas M. Antonopoulos
• Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
• Reach by Andy Molinsky (13%)
• Distributed Ledger Technology by Roger Wattenhofer
• AngularJS Services by Jim Lavin
• The Boy from Reactor 4 by Orest Stelmach
• ClojureScript by Stuart Sierra and Luke Vanderhart
• ZeroMQ: Messaging for Many Applications by Pieter Hintjens
• watchOS 2 App Development Essentials by Neil Smyth
• Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
• The Go Programming Language by Alan A. A. Donovan, Brian W. Kernighan
• Game Theory by Ken Binmore

Links

DOU top books 2022