Importing Finance Data with Python from Free Web Sources

所在平台: Udemy

课程主页: https://www.udemy.com/course/importing-free-financial-data-with-python/

课程评论:没有评论

第一个写评论        关注课程

课程简介

课程名称:从免费网络资源导入金融数据与Python 课程概述:在处理金融数据时,最重要和最昂贵的部分是什么?是Pandas编码、创建高级算法来分析和优化投资组合,还是构建算法交易和机器人顾问的解决方案?可能都不是!实际上,最常见的问题是获取数据。金融数据稀缺,优质数据提供商通常每年收取2万美元以上的费用。然而,在95%的情况下,金融专业人士或研究人员所需的金融数据可以从免费或低价的网络资源获取。这些资源中有一些提供强大的API和Python封装包,方便将数据导入Python。 本课程将教您如何从网络获取大量金融数据,并提供可下载的Python编码模板(Jupyter Notebooks)以供您使用。课程涵盖四种不同的数据源,并详细解释如何安装所需库以及如何使用少量Python代码下载和导入数据。您将能访问全球60多个交易所、超过120,000个符号/工具、数千只股票、指数、共同基金和ETF的历史价格和交易量数据、150多种货币及货币对的外汇数据、500种数字货币、公司债券的基本面、评级、历史价格和收益、商品(如原油、黄金、白银等),以及4,500只美国股票的股票期权、数千只股票、指数、共同基金和ETF的基本面、指标和比率、资产负债表、损益表(P&L)、现金流量表等。 课程还包括50多种技术指标(如简单移动平均线(SMA)和布林带)、实时和历史数据(追溯至1960年代)、流式高频实时数据、股票分拆和股息以及这些在股价中的反映方式。此外,您将学习如何正确使用调整后的数据以避免常见错误。通过构建自己的金融数据库,您将能够节省数千美元! 快来加入我们吧!本课程提供30天退款保证,所以您没有风险!期待在课程中见到您!

课程评论(0条)

课程详情

What can be the most critical and most expensive part when working with financial data?Pandas coding? Creating some advanced Algorithms to analyse and optimize portfolios? Building solutions for Algorithmic Trading and Robo Advising? Maybe! But very often it is … getting the Data!Financial Data is scarce and Premium Data Providers typically charge $20,000 p.a. and more! However, in 95% of all cases where Finance Professionals or Researchers require Financial Data, it can actually be obtained from Free or low-priced web sources. Some of them provide powerful APIs and Python wrapper packages, which makes it easy and comfortable to import the data with and into Python. +++ This course shows you how to get massive amounts of Financial Data from the web and provides downloadable Python coding templates (Jupyter Notebooks) for your convenience! +++ This course covers four different data sources and explains in detail how to install required Libraries and how to download and import the data with few lines of Python Code. You will have access to60+ Exchanges all around the world120,000+ Symbols/InstrumentsHistorical Price and Volume Data for thousands of Stocks, Indexes, Mutual Funds and ETFsForeign Exchange (FOREX): 150+ Physical Currencies / Currency Pairs500+ Digital- / CryptocurrenciesFundamentals, Ratings, Historical Prices and Yields for Corporate BondsCommodities (Crude Oil, Gold, Silver, etc.)Stock Options for 4,500 US StocksFundamentals, Metrics and Ratios for thousands of Stocks, Indexes, Mutual Funds and ETFsBalance SheetsProfit and Loss Statements (P & L)Cashflow Statements50+ Technical Indicators (e.g. SMA, Bollinger Bands)Real-time and Historical Data (back to 1960s)Streaming high-frequency real-time DataStock Splits and Dividends and how these are reflected in Stock PricesLearn how Stock Prices are adjusted for Stock Splits and Dividends...… and use appropriately adjusted data for your tasks! (avoid the Pitfalls!) Build your own Financial Databases...… And save thousands of USDs!What are you waiting for? As always, I provide a 30-Days-Money-Back Guarantee. So, there is no risk for you!Looking forward to seeing you in the course!

课程标签

0人关注该课程

主题相关的课程