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Event Analyzer
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Dynamically Retraining Models for Stock Forecasting
Erez Katz, CEO and Co-founder of Lucena Research Dynamic retraining is an important aspect of AI & Big Data for quantitative investing.
Mitigating Risk for Event-Driven Investing
Erez Katz, Lucena Research CEO and Co-founder As data and information become more accessible, the market has become more efficient. Consequently, the required lead time for event-driven investing has also grown longer. In other words, investors are seeking early entry…
Mean Reversion: Identify and forecast stocks before they move
Erez Katz, Lucena Research CEO and Co-founder How to use mean reversion to forecast constituents on the verge of moving below or above their peers.
Murky Outlook for Oil
Erez Katz, Lucena Research CEO and Co-founder Oil Volatility: How to Identify a Statistical Arbitrage Opportunity Opposing forces are holding oil prices in a tight range and delicate balance. Excessive US production and oversupply is countered by growing demand. Add…
Perpetually Monitored Strategies derived from Alternative Data and AI
Erez Katz, Lucena Research CEO and Co-founder At Lucena, we connect investment professionals with actionable and validated alternative data. Over the past two years, we’ve added new datasets to our list of validated data partners. To further advance the reliability…
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.
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…
How to Use Arbitrage Trading for Foreign Exchange Strategies
Erez Katz, Lucena Research CEO and Co-founder Cointegration is an excellent time series analysis geared to identify a high conviction trade such as arbitrage trading strategies for foreign exchange. A Scientific Approach to Arbitrage Trading in Foreign Exchange Cointegration…
A Scientific Approach To Multi-Strategy Investment
Erez Katz, CEO and Co-founder of Lucena Research Scientifically construct a multi-strategy portfolio and algorithmically shift allocations to maximize your fund’s risk-adjusted return.
The Benefits of a Multi-Strategy Investment Approach
Erez Katz, CEO and Co-founder of Lucena Research Why A Multi-Strategy Approach for Portfolio Optimization Here are two long-only strategies that have been performing well for us year to date despite recently volatility. Every Market Regime Presents Investment Opportunities Despite heightened…