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Showing 9 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

0.929368029739777 20 / 269
Bestseller Score [?]
Ranked 20 out of 269 books in our database
0.8165322580645161 2 credentials
Author Score [?]
0.8698884758364313 12 comments
Audience Score [?]
0.8719295878802414
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 Algorithmic Trading: From Idea to Cloud Deployment

by Yves Hilpisch

0.8104089219330856 52 / 269
Bestseller Score [?]
Ranked 52 out of 269 books in our database
0.3850806451612903 1 credentials
Author Score [?]
0.8085501858736059 7 comments
Audience Score [?]
0.6680132509893273
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: Mastering Data-Driven Finance

by Yves Hilpisch

0.5241635687732342 129 / 269
Bestseller Score [?]
Ranked 129 out of 269 books in our database
0.3850806451612903 1 credentials
Author Score [?]
0.9144981412639405 22 comments
Audience Score [?]
0.6079141183994884
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 Finance Cookbook: Over 80 powerful recipes for effective financial data analysis

by Eryk Lewinson

0.6505576208178439 95 / 269
Bestseller Score [?]
Ranked 95 out of 269 books in our database
0.7318548387096775 3 credentials
Author Score [?]
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.5376319103009953
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

0.516728624535316 131 / 269
Bestseller Score [?]
Ranked 131 out of 269 books in our database
0.594758064516129 1 credentials
Author Score [?]
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.44732332014230325
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

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging

by Yves Hilpisch

0.3048327137546469 188 / 269
Bestseller Score [?]
Ranked 188 out of 269 books in our database
0.3850806451612903 1 credentials
Author Score [?]
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.30679887676380063
Pythonmeter [?]
Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful cap...
Published on : Aug. 3, 2015
Python version: TH
374 pages

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

by Sofien Kaabar

0.5204460966542751 130 / 269
Bestseller Score [?]
Ranked 130 out of 269 books in our database
0.16330645161290325 0 credentials
Author Score [?]
No author credentials found
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.30474527321421435
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

0.07434944237918216 250 / 269
Bestseller Score [?]
Ranked 250 out of 269 books in our database
0.3850806451612903 1 credentials
Author Score [?]
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.22997111963864572
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

Zero to Hero in Cryptocurrency Trading: Learn to trade on a centralized exchange, understand trading psychology, and implement a trading algorithm

by Bogdan Vaida

0.15613382899628253 228 / 269
Bestseller Score [?]
Ranked 228 out of 269 books in our database
0.16330645161290325 0 credentials
Author Score [?]
No author credentials found
0.23048327137546468 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.18330785066155017
Pythonmeter [?]
In today's fast-paced digital age, cryptocurrencies have emerged as a revolutionary financial asset class, capturing the attention of investors and traders worldwide. However, navigating the world ...
Published on : Sept. 28, 2023
Python version: TH
322 pages