Algorithmic Trading with Python: Quantitative Methods and Strategy Development
暫譯: 使用 Python 進行算法交易：量化方法與策略開發
Conlan, Chris
- 出版商: Independently Published
- 出版日期: 2020-04-09
- 售價: $1,360
- 貴賓價: 9.5 折 $1,292
- 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
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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》討論了現代量化交易方法，重點關注 pandas、numpy 和 scikit-learn。在建立對技術指標和績效指標的理解後，讀者將逐步了解開發交易模擬器、策略優化器和金融機器學習管道的過程。本書保持高標準的可重現性。所有代碼和數據都包含在一個 GitHub 倉庫中。數據包括超現實的模擬價格數據和基於真實證券的替代數據。《使用 Python 進行算法交易》（2020）是《使用 R 進行自動交易》（2016）的精神繼承者。由於開源技術在量化分析方面的進步，本書在更短的時間內涵蓋了比前作更多的內容。
