Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows st
Python for Algorithmic Trading: From Idea to Cloud Deployment
β Scribed by Yves Hilpisch
- Publisher
- O'Reilly Media
- Year
- 2021
- Tongue
- English
- Leaves
- 350
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The financial industry is adopting Python at an increasing rate. Top hedge funds use the language on a daily basis for quantitative research, data exploration, and analysis and for prototyping, testing, and executing trading strategies. Thereβs also a rise in trading activity by individuals and small groups of traders, including many from the technology world.
This book is ideal for Python developers, tech-savvy discretionary traders, data analysts, and people who want to become Algo trading professionals or trade their own funds. Author Yves Hilpisch focuses on the practical application of programming to trading rather than theoretical computer science. If you're looking for a guide to help you perform algorithmic, fully-automated trading, this book is for you.
π SIMILAR VOLUMES
<div><p>The financial industry is adopting Python at an increasing rate. Top hedge funds use the language on a daily basis for quantitative research, data exploration, and analysis and for prototyping, testing, and executing trading strategies. Thereβs also a rise in trading activity by individuals
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows st
<p><span>Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch
<p><span>Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Follow practical Python recipes to acquire, visualize
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key Features - Follow practical Python recipes to acquire, visualize, and store market data for market research - Design,