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Finding Treasure In Corporate Earnings Reports: An Algorithmic Approach to Fundamental Research
Erez Katz, CEO and Co-Founder of Lucena Research Traditionally, analysis of corporate earnings reports such as 10K and 10Q has been a task for the fundamental researcher. Hedge fund managers, research analysts and finance experts would normally wait impatiently for…
Applying Newsfeed Sentiment for Algorithmic Investment
By Erez Katz, CEO and Co-Founder of Lucena Research In June of 2020, Lucena partnered with Benzinga to evaluate whether an AI approach to news feed sentiment is predictive for active investment. It is widely agreed that news media is the most…
Lucena Research, Benzinga Cater To Emerging Demand For Algorithmic, Machine Learning Insights
We spoke to Benzinga about our recent partnership and our commitment to helping investors gain access to what has been traditionally a luxury of the few with a clear goal of helping investors gain access to scientifically-backed investment decisions. Read…
Unique Approach to Analysts Consensus Sentiment Utilizing Dynamic Machine Learning Training
Authored by: Erez Katz
Mobilizing Alternative Data to Capitalize on the Unique Opportunities the Covid-19 Crisis Presents
Authored by: Erez Katz
Winning Strategies In a High-Volatility Environment How Hedge-Funds are Making a Killing While Others are Losing Their Shirts
Authored by: Erez Katz
The Science Behind Stop-Loss & Target Gain – Learn When to Exit a Position
Co-Authored by: Erez M. Katz (CEO & Co-Founder) and Stuart Colianni (Quant)
Selecting Features with Permutation Importance
Authored by: Stuart Colianni / Quantitative Analyst @ Lucena Research.
A Dynamic Labeling Approach for Financial Assets Forecasting
Authored by: Tarun Bhatia, Stuart Colianni, Taylor Korf, and Erez Katz
Clustering for more effective model training
Stuart Colianni, Quantitative Researcher at Lucena Research