ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

README.md

(1909B)

      1 # Chapter 03: Alternative Data
      2 
      3 ## The Alternative Data Revolution
      4 
      5 - [The Digital Universei in 2020](https://www.emc.com/collateral/analyst-reports/idc-the-digital-universe-in-2020.pdf)
      6 - [Big data: The next frontier for innovation, competition, and productivity](https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation), McKinsey 2011
      7 - [McKinsey on Artificial Intelligence](https://www.mckinsey.com/featured-insights/artificial-intelligence)
      8 
      9 
     10 ## Evaluating Alternative Datasets
     11 
     12 - [Big Data and AI Strategies](http://valuesimplex.com/articles/JPM.pdf), Kolanovic, M. and Krishnamachari, R., JP Morgan, May 2017
     13 
     14 ## The Market for Alternative Data
     15 
     16  - [Alternative Data](https://alternativedata.org/)
     17 
     18 ## Working with Alternative Data
     19 
     20 - [Quantifying Trading Behavior in Financial Markets Using Google Trends](https://www.nature.com/articles/srep01684), Preis, Moat and Stanley, Nature, 2013
     21 - [Quantifying StockTwits semantic terms’ trading behavior in financial markets: An effective application of decision tree algorithms](https://www.sciencedirect.com/science/article/pii/S0957417415005473), Al Nasseri et al, Expert Systems with Applications, 2015
     22 
     23 ### Code Examples
     24 
     25 #### Open Table Web Scraping
     26 
     27 This folder contains the code to scrape OpenTable data using Scrapy and Selenium.
     28 
     29 - [How to View the Source Code of a Web Page in Every Browser](https://www.lifewire.com/view-web-source-code-4151702)
     30 
     31 #### SeekingAlpha Earnings Transcripts
     32 
     33 The subfolder contains the code to scrape earnings call transcripts from the [SeekingAlpha](www.seekingalpha.com) website.
     34 
     35 #### Python Libraries
     36 - requests [docs](http://docs.python-requests.org/en/master/)
     37 - beautifulsoup [docs](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)
     38 - Selenium [docs](https://www.seleniumhq.org/)
     39 - Scrapy [docs](https://scapy.readthedocs.io/en/latest/)
     40