If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address the challenges faced in the realm of finance, this book is for you. A basic working knowledge of...
Trading with Coinbase Pro (GDAX) API in Python Coinbase Pro (formerly known as GDAX) is one of the biggest cryptocurrency exchange, you can trade a large panel of cryptocurrencies against USD, EUR and GBP. I chose to trade on Coinbase Pro because it supports a lot of pairs and the liq...
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 ...
This is the fifth part of a series of articles on backtesting trading strategies in Python. The previous ones described the following topics: This time, the goal of the article is to show how to…
'RQAlpha: A Python Algorithmic Trading Engine with BackTest, Portfolio Calculation and Free Day Data(Python算法交易和回测引擎)’ GitHub: http://t.cn/RtqJaf3 via:@Ricequant
作者:Stefan Jansen 出版社:Packt Publishing 副标题:Predictive models to extract signals from market and alternative data for systematic trading strategies with Python 出版年:2020-7-31 页数:820 定价:$49.99 装帧:Paperback ISBN:9781839217715 豆瓣评分 ...
Github上给了必要的数据代码和文献:https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading 评分☆☆☆ 这本书在packt出版社的书里算是很好的了。第一部分是金融大数据的概述和基于Python的多因子建模。第二部分是机器学习基础,文本分析的内容比较多。第三部分深度学习并不在这本书...
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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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...