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Repurposing Alternative Data for Various Investment Paradigms

Repurposing Alternative Data for Various Investment Paradigms

July 23, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, DAS, Data Analytics Suite, Data Provider, Data Qualification Engine, Data Validation, Model Portfolios,

Erez Katz, CEO and Co-founder Lucena Research A review of current challenges with alt data adoption and how to overcome them. With our data providers, we are able to provide empirical evidence of the underlying data’s predictive value. Value is…

Testing Multi-Factor Models in QuantDesk

Testing Multi-Factor Models in QuantDesk

April 23, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Matching Engine, Data Qualification Engine, Data Validation, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, QuantDesk,

Jonathan Moreland, Director of Research, InsiderInsights.com Jonathan Moreland discusses how Insider Intelligence has been proven most valuable using QuantDesk‘s multi-factor model.

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How to fight the commoditization of Alt Data

How to fight the commoditization of Alt Data

April 9, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Analytics Suite, Data Matching Engine, Data Provider, Data Qualification Engine, Data Science, Data Validation, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, Quantitative Analysis,

Erez Katz, CEO and Co-founder Lucena Research The challenge of prolonging alternative data relevancy is on many data provider’s mind. Increased competition, and wide distribution could quickly turn into alpha decay and commoditization.

Feature Engineering for Trading: Art or Science?

Feature Engineering for Trading: Art or Science?

February 12, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Qualification Engine, Data Science, Data Validation, Machine Learning, Model Portfolios, Quantitative Analysis,

Erez Katz, CEO and Co-founder Lucena Research How Feature Engineering Extracts Signals from Data for Trading Those of us who work with big data and the applications of deep learning are often conflicted where human intellect is applied. Utilizing feature…

How Machine Learning Can Validate Your Data For Stock Forecasting

How Machine Learning Can Validate Your Data For Stock Forecasting

December 28, 2018 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Matching Engine, Data Provider, Data Qualification Engine, Data Science, Data Validation, Forecasting, Machine Learning, Predictive Analytics,

Erez Katz, CEO and Co-founder of Lucena Research There are many Machine Learning methods that can be used to validate data for stock forecasting. It’s important to understand and distinguish the methods before utilizing AI to validate and predict asset prices.

How to Empirically Measure Alternative Data’s True Value

How to Empirically Measure Alternative Data’s True Value

December 28, 2018 | Ai Driven Investment Strategies, Alternative Data, Backtest, Data Analytics Suite, Data Matching Engine, Data Provider, Data Qualification Engine, Data Science, Predictive Analytics, QuantDesk,

Erez Katz, CEO and CoFounder of Lucena Research How to Empirically Evaluate Alternative Data Through Backtest and Model Portfolio Performance  The growth of alternative data has driven data consumers to seek efficient methods of sifting through vast amounts of information.…

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