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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.

Live Portfolios From Alt Data

Live Portfolios From Alt Data

April 17, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Science, Data Validation, Event Analyzer, Forecasting, Investment Strategies, Long and Short Strategies, Model Portfolios, Portfolio Optimization, Predictive Analytics, QuantDesk,

Alternative-Data-Based Long and Short Portfolios In Action Earlier this year we announced a partnership with Wall Street Horizon.  Our partnership will highlight how quality alternative data combined with predictive technology can benefit deploying successful investment signals.

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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…

Is Your Deep Learning Strategy Robust Enough?

Is Your Deep Learning Strategy Robust Enough?

January 9, 2019 | Backtest, Big Data, Company Blog, Convolutional Neural Networks, Data Science, Deep Learning, Forecasting, Investment Strategies, QuantDesk, Quantitative Investing,

Erez Katz, CEO and Co-founder of Lucena Research. How to test the robustness of a deep learning strategy. Best practices geared to test your quantitative investment strategy before risking capital.

How Gold Can Hedge Against Inflation

How Gold Can Hedge Against Inflation

January 7, 2019 | Ai Driven Investment Strategies, Backtest, Hedger, Investment Strategies, QuantDesk, Quantitative Investing,

Erez Katz, CEO and Co-founder of Lucena Research The price of gold has been traditionally perceived as inversely correlated to the price of the US dollar. For this reason, gold has been used as a hedge against inflation. Here is…

Money Machines – Interview with Prattle Analytics and Lucena Research

Money Machines – Interview with Prattle Analytics and Lucena Research

January 5, 2019 | Alternative Data, Backtest, Big Data, Company Blog, Data Provider, Erez Katz,

AI Powered Investment Research Posted with permission from Prattle. original Prattle is pleased to publish this interview with Erez Katz. We will cover how machine learning can be used to automate the development and testing of investment strategies. How do…

Protect Your Deep Value Fundamental Portfolio

Protect Your Deep Value Fundamental Portfolio

January 5, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Company Blog, Data Science, Forecasting, Investment Strategies, Quantitative Investing,

Erez Katz, CEO and Co-founder Lucena Research How Machine Learning Can Protect Your Deep Value Fundamental Portfolio At Lucena, we’ve witnessed a growing interest in quantitative analysis technology. One question we usually receive from  portfolio analysts is how can machine…

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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