Reilly on-demand course Hands-On Algorithmic Trading with Python. He has taught tens of thousands of traders and investors the concepts, processes, and machine learning technologies for algorithmic trading, investing, and finance with Python. Long before machine learning was an industry buzzword, ...
Hands-On AI Trading with Python, QuantConnect, and AWS exploresreal-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.
Begin your data science training with a comprehensive program designed to help you build confidence in the fundamentals through hands-on sessions.
describes the trading process and outlines how ML can add value.Chapter 2,Market and Fundamental Data, covers sources and working with original exchange-provided tick and financial reporting data, as well as how to access numerous open-source data providers that we will rely on throughout this ...
The combination of a really useful github, practical implementation of ML projects and the core intuitions make the title truly accurate; Hands-on! Originally I read the first part of the book to get a feeling with Scikit-learns ML tools for Python and recently I picked it up to read a ...
Integrate machine learning models into a live trading strategy on Quantopian Evaluate strategies using reliable backtesting methodologies for time series Design and evaluate deep neural networks using Keras,PyTorch,and TensorFlow Work with reinforcement learning for trading strategies in the OpenAI Gym ...
This trend enables the rise of new features, products, and entire industries。 With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today。 You'll learn how to use the power of pre-trained large language models for use cases like ...
No restrictions on historical start dates, Intraday data back to 01/01/2009 and Daily data back to 01/01/1980. Tick data available, along with optional subscription to real-time exchange data. Download an unlimited amount of financial data directly into your spreadsheets, up to 100,000 rows ...
In supervised learning, the AI agent has access to labels, which it can use to improve its performance on some task. In the email spam filter problem, we have a dataset of emails with all the text within each and every email. We also know which of these emails are spam or not (the...
Hedge Fund Performance Analysis of 400 Trading Strategies for Alpha and Risk Goldman Sachs Alumnus' Firm Hands-On Team Leadership Projects, Midtown Manhattan, New York Mentor: Wall Street SVP Hedge Fund Manager with Top Wall Street Investment Banks: Harvard Computer Scientist & Mathematician Alumnus...