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Showing 7 books on Finance
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition

by Stefan Jansen

0.8429752066115702 39 / 242
Bestseller Score [?]
Ranked 39 out of 242 books in our database
0.8066666666666668 2 credentials
Author Score [?]
0.8553719008264463 12 comments
Audience Score [?]
0.8350045913682278
Pythonmeter [?]
This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by usin...
Published on : July 31, 2020
Python version: TH
820 pages

Python for Finance: Mastering Data-Driven Finance

by Yves Hilpisch

0.7479338842975207 62 / 242
Bestseller Score [?]
Ranked 62 out of 242 books in our database
0.38222222222222224 1 credentials
Author Score [?]
0.9049586776859505 22 comments
Audience Score [?]
0.6783715947352311
Pythonmeter [?]
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Update...
Published on : Dec. 31, 2018
Python version: TH
720 pages

Python for Algorithmic Trading: From Idea to Cloud Deployment

by Yves Hilpisch

0.6942148760330579 75 / 242
Bestseller Score [?]
Ranked 75 out of 242 books in our database
0.38222222222222224 1 credentials
Author Score [?]
0.7871900826446282 7 comments
Audience Score [?]
0.6212090602999695
Pythonmeter [?]
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. Some of the biggest buy-...
Published on : Dec. 8, 2020
Python version: TH
380 pages

Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis

by Eryk Lewinson

0.7396694214876033 64 / 242
Bestseller Score [?]
Ranked 64 out of 242 books in our database
0.7244444444444444 3 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.555531068258341
Pythonmeter [?]
In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine le...
Published on : Dec. 30, 2022
Python version: TH
740 pages

Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

by Laurent Bernut

0.371900826446281 153 / 242
Bestseller Score [?]
Ranked 153 out of 242 books in our database
0.5822222222222222 1 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3855341291704928
Pythonmeter [?]
If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets under management. This book will help you demystify and hone the short ...
Published on : Sept. 30, 2021
Python version: TH
376 pages

Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python

by Sofien Kaabar

0.7148760330578513 70 / 242
Bestseller Score [?]
Ranked 70 out of 242 books in our database
0.16666666666666669 0 credentials
Author Score [?]
No author credentials found
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.36134067952249777
Pythonmeter [?]
Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these pat...
Published on : Nov. 22, 2022
Python version: TH
288 pages

Introduction to Financial Derivatives with Python

by Elisa Alòs

0.1859504132231405 198 / 242
Bestseller Score [?]
Ranked 198 out of 242 books in our database
0.38222222222222224 1 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.25688399142944596
Pythonmeter [?]
Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives, whether on a finance, economics, or financial mathematics programme. As well as co...
Published on : Dec. 15, 2022
Python version: TH
252 pages