Importing Finance Data with Python from Free Web Sources | Other Office Productivity Online Course by Udemy

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Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies

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Importing Finance Data with Python from Free Web Sources

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!

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