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Forecasting KPI: Using ML and Big Data for Investment Decisions
Erez Katz, CEO and Co-founder For us at Lucena, applying machine learning to the financial markets has taken an interesting turn in recent years. In theory, fitting a model to historical time series data and forecasting a KPI should be similar to how…
Live Portfolios From Alt Data
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.
How to fight the commoditization of Alt Data
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.
Finding Tradable Signals in Alt Data
Our new data vendor partner Wall Street Horizon joined us in NYC to host a panel discussion on finding tradable signals in alternative data. On Thursday March 14th, 2019 the Lucena Research team co-hosted a panel discussion with data partner…
Skepticism in the Alternative Data Revolution
Erez Katz, CEO and Co-founder of Lucena Research Investment professionals are finally starting to integrate AI and alternative data into their investment approach. Many however are still cautious and seek additional empirical validation.
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? Here are several key concepts for quantitative investment research. Data science is the crucial first step before machine learning can be applied.
Using Machine Learning to Convert Unstructured to Structured Data
One of the alternative data providers we have been working with in the past two years is Prattle Analytics. Prattle applies NLP to central banks’ communications in order to extract macro level sentiment scores. Find New Insights in Alternative Data Through…
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.
How To Forecast Securities Using Neural Networks
Forecast Stocks Using Neural Networks There’s been a lot of buzz surrounding machine learning to forecast stock prices using neural networks. In the webinar we will highlight a unique approach to identifying investment opportunities through the use of deep neural networks.…
Money Machines – Interview with Prattle Analytics and Lucena Research
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…
How Machine Learning Can Validate Your Data For Stock Forecasting
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
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.…