Media Summary: This talk was given by Max Margenot at the Delaney Granizo-Mackenzie presenting on long-short strategies and fundamental Measure and invest with Twitter & StockTwits trader mood. In this webinar, learn how to use this quantified social media index to ...

Quantopian Lecture Series Factor Analysis - Detailed Analysis & Overview

This talk was given by Max Margenot at the Delaney Granizo-Mackenzie presenting on long-short strategies and fundamental Measure and invest with Twitter & StockTwits trader mood. In this webinar, learn how to use this quantified social media index to ... This talk is based on the following lectures from the You've constructed a model and are getting significant p-values. Everything looks good, but then your algorithm starts losing ... by Patrick O'Shaughnessy, a Principal and Portfolio Manager at O'Shaughnessy Asset Management (OSAM). From QuantCon ...

A common technique in quantitative finance is that of ranking stocks by using a combination of fundamental Measuring data by taking a mean is pretty ubiquitous. This is a primer on means and some other 'measures of centrality' in data. Interested in creating a challenge-ready algorithm after watching this video? Test out your skills and submit a tearsheet to our ...

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Quantopian Lecture Series: Factor Analysis
"Thrifting Alpha: Using Ensemble Learning To Revitalize Tired Alpha Factors" by Max Margenot
Quantopian Lecture Series: Fundamental Factor Models
Fundamental Factor Modeling
Webinar - Measuring and Investing with Trader Mood
"Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" by Max Margenot
Quantopian Lecture Series: This Time You're More Wrong
"Combining the Best Stock Selection Factors" by Patrick O'Shaughnessy
Factor Modeling
Quantopian Lecture Series: Means
Integration, Cointegration, and Stationarity
Learn from the Experts Ep 2: Fast Iterative Factor Development with Kyle
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Quantopian Lecture Series: Factor Analysis

Quantopian Lecture Series: Factor Analysis

Building portfolios of alpha

"Thrifting Alpha: Using Ensemble Learning To Revitalize Tired Alpha Factors" by Max Margenot

"Thrifting Alpha: Using Ensemble Learning To Revitalize Tired Alpha Factors" by Max Margenot

This talk was given by Max Margenot at the

Quantopian Lecture Series: Fundamental Factor Models

Quantopian Lecture Series: Fundamental Factor Models

Modeling returns on fundamental

Fundamental Factor Modeling

Fundamental Factor Modeling

Delaney Granizo-Mackenzie presenting on long-short strategies and fundamental

Webinar - Measuring and Investing with Trader Mood

Webinar - Measuring and Investing with Trader Mood

Measure and invest with Twitter & StockTwits trader mood. In this webinar, learn how to use this quantified social media index to ...

"Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" by Max Margenot

"Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" by Max Margenot

This talk is based on the following lectures from the

Quantopian Lecture Series: This Time You're More Wrong

Quantopian Lecture Series: This Time You're More Wrong

You've constructed a model and are getting significant p-values. Everything looks good, but then your algorithm starts losing ...

"Combining the Best Stock Selection Factors" by Patrick O'Shaughnessy

"Combining the Best Stock Selection Factors" by Patrick O'Shaughnessy

by Patrick O'Shaughnessy, a Principal and Portfolio Manager at O'Shaughnessy Asset Management (OSAM). From QuantCon ...

Factor Modeling

Factor Modeling

A common technique in quantitative finance is that of ranking stocks by using a combination of fundamental

Quantopian Lecture Series: Means

Quantopian Lecture Series: Means

Measuring data by taking a mean is pretty ubiquitous. This is a primer on means and some other 'measures of centrality' in data.

Integration, Cointegration, and Stationarity

Integration, Cointegration, and Stationarity

This video is part of

Learn from the Experts Ep 2: Fast Iterative Factor Development with Kyle

Learn from the Experts Ep 2: Fast Iterative Factor Development with Kyle

Interested in creating a challenge-ready algorithm after watching this video? Test out your skills and submit a tearsheet to our ...