Artwork

Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Episode 71: Social Data, Analytics and Trading

29:14
 
Share
 

Manage episode 180052523 series 1079955
Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Earlier this week, Waters’ sibling publication, Inside Data Management, hosted its annual North American Financial Information Summit (NAFIS). During the event, Stephen Morse, former head of global financial data partnerships at Twitter, spoke to the audience about how traders are mining data created through social media—and, specifically, through Twitter—to find a trading edge. After Anthony gives some information on how to vote in this year’s Waters Rankings, Stephen’s presentation will be played in full. See below for timestamps: (0:00-2:30) Info on the Waters Rankings (2:35) The start of Stephen’s presentation (4:00) A look at the trends driving alternative data adoption and the types of data that’s increasingly being used (6:40) A look specifically at social media data (7:15) Then a look at Trump’s tweets moving markets (8:30) Information that matters specifically for capital markets usage (10:45) Some examples of crowd-sourced estimates data (12:10) Some usage examples of sentiment analysis and volatility analysis (16:35) Examples of consumer conversation for product/brand movements (19:25) Examples of breaking news and event detection using Twitter (25:35) Quick Q&A
  continue reading

288 episodes

Artwork
iconShare
 
Manage episode 180052523 series 1079955
Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Earlier this week, Waters’ sibling publication, Inside Data Management, hosted its annual North American Financial Information Summit (NAFIS). During the event, Stephen Morse, former head of global financial data partnerships at Twitter, spoke to the audience about how traders are mining data created through social media—and, specifically, through Twitter—to find a trading edge. After Anthony gives some information on how to vote in this year’s Waters Rankings, Stephen’s presentation will be played in full. See below for timestamps: (0:00-2:30) Info on the Waters Rankings (2:35) The start of Stephen’s presentation (4:00) A look at the trends driving alternative data adoption and the types of data that’s increasingly being used (6:40) A look specifically at social media data (7:15) Then a look at Trump’s tweets moving markets (8:30) Information that matters specifically for capital markets usage (10:45) Some examples of crowd-sourced estimates data (12:10) Some usage examples of sentiment analysis and volatility analysis (16:35) Examples of consumer conversation for product/brand movements (19:25) Examples of breaking news and event detection using Twitter (25:35) Quick Q&A
  continue reading

288 episodes

Semua episode

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide