Seeking Alpha in Alternative Data
The challenge for a quant is how to make sense and ultimately extract useful trading signals out of alternative data. In this webinar, Anthony Ng will use Quantopian's alternative datasets and demonstrate one way to extract signal out of these datasets.
Contents
June 2016 GSAM: The Role of Big Data in Investing
Investment Philosophy
Beyond Traditional Data Sources
Informational Advantage
Mar 2017 Citi: Navigating New Alternative Datasets
The Big Data Landscape
Who Cares about Big Data?
Big Data in Practice
Considerations for Big Data Implementation
56 pages
May 2017 JP Morgan: Big Data and AI Strategies
Introduction and Overview
Big and Alternative Data
Machine Learning Methods
Handbook of Alternative Data
280 pages
Jun 2017 Jefferies: Quantifying Intuition
Data Science in the Hedge Fund Industry
Data, Data Everywhere, and Way Too Much to Drink
Everyone's a "Quant" These Days
Data Science in the Broader Hedge Fund Ecosystem
What Lies Ahead
13 pages
Jun 2017 Barclays: Rise of the Machines
Systematic Strategies within the Hedge Fund Industry
Big Data and Machine Learning
Jul 2017 WorldQuant Perspectives: Discovering the Hidden World of Alternative Data
Tripartite View of the World
The Power of Sentiment
Tracking Movements
A Glimpse into the Future
Nov 2017 Eagle Alpha: Alternative Data Use Cases 3e
Alternative Data
Use Cases
Thirty Case Studies
Is There Alpha Left in Alternative Data
Overview of Eagle Alpha
94 pages
Source: Wikipedia. Accessed Dec 2017
Individuals
Business Processes
Sensors
Social Media
News and Reviews
Web Searchers, Personal Data
Satellites
Geolocation
Other Sensors
Transaction Data
Corporate Data
Government Agencies Data
Source: JP Morgan Macro QDS 2017
Alternative data is, put simply, any information that is
non-market data. As such, any usable information
or data that is not from a financial statement or report
can be classified as alternative data.
Source: Quinlan Associates. Nov 2017
Of course
Earnings Releases | Buyback authorisation | Issue Equity | Earnings Guidance |
Dividends | Stock Splits | Legal and Regulatory | Index Changes |
Impairment Charges | Clinical Trials | Issue Debt | Credit Facility |
CEO Changes | Merger and Acquisitions | Spin-Offs | Contract Wins |
Shareholder Meetings | Share Repurchases | Earnings Calendar | 13-D Filings |
• Estimize Analyst-by-Analyst Estimates
• Alpha Vertex PreCog 100
• Alpha Vertex PreCog 500
• Sentdex Sentiment Analysis
• Broker Ratings Revision History
• Zack Earnings Surprises
• Twitter Trader Mood (All Fields, no ReTweets)
• Twitter Trader Mood (All Fields, with ReTweets)
• Twitter and StockTwits Trader Mood (All Fields, no ReTweets)
• Twitter and StockTwits Trader Mood (All Fields, with ReTweets)
As a start...
Anthony is a Senior Lecturer in Singapore, lecturing topics such as algorithmic trading, financial data analytics, banking, finance, investment and portfolio management. He has been assisting Quantopian to conduct Algorithmic Trading Workshops in Singapore since 2016.
He has a strong passion for finance, data science, and Python. He holds an MFE from NUS (Singapore) and also an MBA, BCom from Otago University (NZ).