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Skepticism in the face of the Alt Data revolution
Erez Katz, CEO and Co-founder of Lucena Research
Finding Tradable Signals in Alt Data
On Thursday March 14th, 2019 the Lucena Research team co-hosted a panel discussion with data partner Wall Street Horizon.
Skepticism in the Alternative Data Revolution
Erez Katz, CEO and Co-founder of Lucena Research
Are Financial Analyst Ratings Predictive?
Erez Katz, CEO and Co-founder of Lucena Research How to use Machine Learning to Measure the Predictive Nature of Financial Analyst Ratings The QuantDesk Event Analyzer, can be used to construct a scan that determines which stocks meet or exceed overall…
Pre-Earnings Alternative Data for Stock Forecasting
ATLANTA, GA / ACCESSWIRE / February 20, 2019 / Wall Street Horizon and Lucena Research Partner to highlight pre-earnings corporate event data for use in investment strategies and stock forecasting. Buy side consumers can access Wall Street Horizon’s data in multiple…
Lucena Research and Wall Street Horizon Extract Insights from Event Data
ATLANTA Lucena Research and Wall Street Horizon Integrate Corporate Event Data onto the QuantDesk Analytic Platform. “Wall Street Horizon is excited to make our unique corporate event data available alongside other data types within Lucena’s powerful and agile analytic platform,”…
Data Science: A Prerequisite To Machine Learning and Investment Research
Erez Katz, CEO and Co-founder of Lucena Research. Is your data research ready? Key concepts for quantitative investment research and why data science is the crucial first step before machine learning can be applied.
Using Machine Learning to Convert Unstructured to Structured Data
Using Machine Learning to Create Structured Data from Unstructured Communications One of the alternative data providers we have been working with in the past two years is Prattle Analytics. Prattle applies natural language processing on central banks’ communications in order to extract…
Applying Deep Reinforcement Learning to Trading
Lucena Research Co-Founder Dr. Tucker Balch provides an introduction to machine learning, specifically applying deep reinforcement learning for stock trading.