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: $1,130
- 貴賓價: 9.5 折 $1,074
- 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、Algorithms-data-structures 資料結構與演算法
立即出貨 (庫存=1)
買這商品的人也買了...
-
$680$578 -
$1,570$1,492 -
$3,278$3,114 -
$750$713
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.