The 7 must-have books everyone using Python for algorithmic trading needs to know:

Algorithmic Trading with Python: Quantitative Methods and Strategy Development

Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn.

https://t.co/EOXBKCSPSy
Algorithmic Trading with Interactive Brokers (Python and C++)

This book walks through the process of developing applications based on IB's Trader Workstation. Learn how to implement full-scale trading systems.

https://t.co/Rq1IngQAeh
Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies.

https://t.co/himKeKJKPM
Python for Algorithmic Trading: From Idea to Cloud Deployment

You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms.

https://t.co/nXZDcNw6Iy
Machine Learning for Algorithmic Trading

Leverage ML to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio.

https://t.co/lXNhU7HvsB
Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies

Build and backtest your algorithmic trading strategies to gain a true advantage in the market.

https://t.co/oibrHHHCtQ
Python for Finance and Algorithmic Trading: Machine Learning, Deep Learning, Time Series Analysis, Risk and Portfolio Management, Quantitative Trading

Connect your Python algorithm to your MetaTrader 5 and run it with a demo or live trading account.

https://t.co/yO7qDZM2RA
The 7 books you need today:

Learn Algorithmic Trading
Algorithmic Trading with IB
Python for Algorithmic Trading
Algorithmic Trading with Python
Hands-On Financial Trading with Python
Machine Learning for Algorithmic Trading
Python for Finance and Algorithmic Trading
If you want to learn algorithmic trading with Python, check out The PyQuant Newsletter.

You'll get Python code every Saturday you can use.

Not to mention, you'll learn alongside 4,000+ other Pythonistas.

https://t.co/TYbIDF1zwZ
That's a lot of reading!

What to keep all these handy?

Hop back to the top and retweet the top tweet so you can find it later - and so others can find it too!

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We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.

Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)

It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.

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