Algorithmic Trading with Python: Quantitative Methods and Strategy Development
Conlan, Chris
- 出版商: Independently Published
- 出版日期: 2020-04-09
- 售價: $1,340
- 貴賓價: 9.5 折 $1,273
- 語言: 英文
- 頁數: 128
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798632784986
- ISBN-13: 9798632784986
-
相關分類:
Python、程式語言、Algorithms-data-structures
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
$2,380$2,261 -
$1,805Test-Driven Development: By Example (Paperback)
-
$1,995C++ Coding Standards: 101 Rules, Guidelines, and Best Practices (Paperback)
-
$2,140$2,033 -
$1,980$1,881 -
$680$612 -
$2,800$2,660 -
$1,890$1,796 -
$3,278$3,114 -
$2,340The Ultimate Algorithmic Trading System Toolbox + Website: Using Today's Technology to Help You Become a Better Trader ( Wiley Trading )
-
$2,375Refactoring: Improving the Design of Existing Code, 2/e (Hardcover)
-
$1,520$1,444 -
$590$561 -
$1,710Learn Algorithmic Trading
-
$1,840$1,748 -
$254全棧軟件測試實戰(基礎+方法+應用)(慕課版)
-
$960$912 -
$450$356 -
$354$336 -
$980$774 -
$1,800$1,710 -
$654$621 -
$1,000$660
相關主題
商品描述
Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reproducibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.
商品描述(中文翻譯)
《使用Python進行算法交易》討論了在Python中使用現代量化交易方法,並重點介紹了pandas、numpy和scikit-learn。在建立對技術指標和績效指標的理解之後,讀者將進一步了解開發交易模擬器、策略優化器和金融機器學習流程的過程。本書保持了高度的可重現性標準,所有的代碼和數據都包含在GitHub存儲庫中。數據包括基於真實證券的超逼真模擬價格數據和替代數據。《使用Python進行算法交易》(2020年)是《使用R進行自動交易》(2016年)的精神繼承者。由於開源技術在量化分析方面的進步,本書在較短的時間內涵蓋了更多內容。