第一章:算法交易的基本概念。这一章主要介绍了算法交易的潜力和优势,包括其快速执行交易的能力以及减少人为错误的可能性。 第二章:从Python开始。这一章介绍了Python在算法交易中的应用,包括Python的基本语法和其在数据处理和分析方面的优势。 第三章:理解金融数据。这一章主要讲解如何理解和处理金融数据,包括股票价格...
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财经商业 QuantProgram 大凶猩发消息 部分内容无法上传,需要全集请私聊。更多更新内容请关注专栏,一杯咖啡解锁国外优质内容! 关注2668 【挑战】每天建模一小时,在家接单赚钱养活自己 0元领取建模课程 Automated Trading with Python - Webinar by Dr. Yves J. Hilpisch| 与Python的自动交易 - ...
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Source code for Algorithmic Trading with Python (2020) by Chris Conlan. Paperback available for purchaseon Amazon. Useful resources These stand-alone resources can be useful to researchers with or without the accompanying book. The rest of the material in this repository depends on explanation and ...
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Course Title: Algorithmic Trading with Python Instructor: Ali Habibnia, Ph.D. This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python programming and financial market...
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 ...
part 2 交易系统trading systems Chapter 3 回测 Backtesting Biases(回测偏差) 这些偏差往往会使回测结果过好,而不是使结果过差。所以应该把回测结果作为策略的最好表现。这种偏差几乎不可能消除。下面介绍4种主要的biases:optimisation bias(优化偏差?)、look-ahead bias(前视偏差/预测偏差?)、survivorship bias(幸存...
Python 进行算法交易 以下 repo 基于 Michael Rolleigh 教授在霍特国际商学院教授的“算法交易”课程的最终项目。 目标是回测一个交易算法,该算法接收机器学习模型的输出作为执行策略的信号。 请在中找到最终结果 对应的任务分为以下笔记本: 包含数据科学工作流。 该脚本用作研究环境,目的是从基本数据和替代数据中提取...