Importing Finance Data with Python from Free Web Sources

About 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 to

60+ Exchanges

all around the world

120,000+ Symbols

/Instruments

Historical Price

and

Volume Data

for thousands of Stocks, Indexes, Mutual Funds and ETFs

Foreign Exchange (FOREX):

150+ Physical Currencies

/ Currency Pairs

500+ Digital- /

Cryptocurrencies

Fundamentals,

Ratings

,

Historical Prices

and

Yields

for

Corporate Bonds

Commodities

(Crude Oil, Gold, Silver, etc.)

Stock Options

for 4,500 US Stocks

Fundamentals

, Metrics and Ratios for thousands of

Stocks, Indexes, Mutual Funds

and

ETFs

Balance Sheets

Profit and Loss Statement

s (P&L)

Cashflow Statements

50+

Technical Indicators

(e.g. SMA, Bollinger Bands)

Real-time

and Historical Data (back to 1960s)

Streaming high-frequency

real-time Data

Stock Splits

and

Dividends

and how these are reflected in Stock Prices

Learn 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!