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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