PyAlgoTrade is anevent driven algorithmic tradingPython library. Although the initial focus was onbacktesting,paper tradingis now possible using: Bitstampfor Bitcoins andlive tradingis now possible using: Bitstampfor Bitcoins To get started with PyAlgoTrade take a look at thetutorialand thefull docu...
By the end of this book, you'll be able to use Python for algorithmic trading by implementing Python libraries to conduct key tasks in the algorithmic trading ecosystem.Who this book is forIf you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or...
Python Algorithmic Trading Library. Contribute to geraybos/pyalgotrade development by creating an account on GitHub.
papertrading,andfinallyrealtradingforthealgorithmicstrategiesthatyou'vecreated.You’llevenunderstandhowtoautomatetradingandfindtherightstrategyformakingeffectivedecisionsthatwouldotherwisebeimpossibleforhumantraders.Bytheendofthisbook,you’llbeabletousePythonlibrariestoconductkeytasksinthealgorithmictradingecosystem.Note:...
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...
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key FeaturesFollow practical Python recipes to acquire, visual...
Latest ArticlesView All Linear Congruential Generators in Python Vasicek Model Simulation with Python Ornstein-Uhlenbeck Simulation with Python Python Libraries for Quantitative Trading QSTrader v0.3.0 Released Momentum Top N with Docker, Jupyter and QSTrader...
本文选自《 Python for Algorithmic Trading》 CHAPTER 6:Building Classes for Event-Based Backtesting。有部分修改。 import pandas as pd import numpy as np import matplotlib.pyplot as plt class Backtes…
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environmentKey FeaturesFollow practical Python recipes to acquire, visualize, and store market data for market researchDesign, backtest, and ev...
and deploy algorithmic trading strategies. You should have experience investing in the stock market, knowledge of Python data structures, and a basic understanding of using Python libraries like pandas. This book is also ideal for individuals with Python experience who are already active in the marke...