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Capsule Networks: Next Gen Deep Learning Computer Vision for Stock Forecasting​

Capsule Networks: Next Gen Deep Learning Computer Vision for Stock Forecasting​

July 15, 2019 | Ai Driven Investment Strategies, Convolutional Neural Networks, Data Science, Deep Learning, Machine Learning, Neural Networks, Predictive Analytics, Quantitative Analysis, Quantitative Investing, Stock Forecasting, Time Series Data,

Erez Katz, CEO and Co-founder of Lucena Research Capsule Networks are a fascinating, relatively new technology for image classification. Compared to CNNs, capsule networks have many benefits and phenomenal potential for image classification tasks, specifically time series forecasting.

Consumer Emotion Signals for Forecasting Tradable Assets

Consumer Emotion Signals for Forecasting Tradable Assets

May 27, 2019 | Ai Driven Investment Strategies, Alternative Data, Data Analytics Suite, Data Provider, Data Science, Data Validation, Machine Learning, Predictive Analytics, Stock Prices,

 An Interview with Cognovi Labs How consumer behavior can provide signals for forecasting tradable assets. Announcing a new partnership with Cognovi Labs, a leader in consumer behavioral science powered by AI.

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Forecasting KPI: Using ML and Big Data for Investment Decisions

Forecasting KPI: Using ML and Big Data for Investment Decisions

May 21, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Science, Data Validation, Event Analyzer, Forecasting, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, Portfolio Optimization, Predictive Analytics, QuantDesk,

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…

Trending Topics in Alt Data and Machine Learning for Investment

Trending Topics in Alt Data and Machine Learning for Investment

May 7, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Science, Data Validation, Forecasting, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, Portfolio Optimization, Predictive Analytics, Webinar Videos,

Webinar Overview On June 13th we will host a webinar dedicated to an open Q&A surrounding trending topics in Alt Data, Machine Learning, and Data Science for Finance. An emerging and rapidly evolving technical domain can cause great confusion and…

Testing Multi-Factor Models in QuantDesk

Testing Multi-Factor Models in QuantDesk

April 23, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Matching Engine, Data Qualification Engine, Data Validation, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, QuantDesk,

Jonathan Moreland, Director of Research, InsiderInsights.com Jonathan Moreland discusses how Insider Intelligence has been proven most valuable using QuantDesk‘s multi-factor model.

Live Portfolios From Alt Data

Live Portfolios From Alt Data

April 17, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Science, Data Validation, Event Analyzer, Forecasting, Investment Strategies, Long and Short Strategies, Model Portfolios, Portfolio Optimization, Predictive Analytics, QuantDesk,

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

How to fight the commoditization of Alt Data

April 9, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Analytics Suite, Data Matching Engine, Data Provider, Data Qualification Engine, Data Science, Data Validation, Investment Strategies, Long and Short Strategies, Machine Learning, Model Portfolios, Quantitative Analysis,

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.

A Quantamental Approach Using Labeling for Stock Trading

A Quantamental Approach Using Labeling for Stock Trading

March 27, 2019 | Ai Driven Investment Strategies, Company Blog, Data Science, Data Validation, Machine Learning, Predictive Analytics, Quantitative Analysis, Quantitative Investing,

One of our Quants, Tarun Bhatia, reviews Quantamental Investing and Labeling Techniques for ML in Finance.

Finding Tradable Signals in Alt Data

Finding Tradable Signals in Alt Data

March 20, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Provider, Data Validation, Long and Short Strategies,

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

Skepticism in the Alternative Data Revolution

March 13, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Analytics Suite, Data Science, Data Validation, Investment Strategies, Long and Short Strategies,

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.

Feature Engineering for Trading: Art or Science?

Feature Engineering for Trading: Art or Science?

February 12, 2019 | Ai Driven Investment Strategies, Alternative Data, Backtest, Big Data, Company Blog, Data Analytics Suite, Data Provider, Data Qualification Engine, Data Science, Data Validation, Machine Learning, Model Portfolios, Quantitative Analysis,

Erez Katz, CEO and Co-founder Lucena Research How Feature Engineering Extracts Signals from Data for Trading Those of us who work with big data and the applications of deep learning are often conflicted where human intellect is applied. Utilizing feature…

How to minimize overfitting in your quantitative investment research

How to minimize overfitting in your quantitative investment research

February 8, 2019 | Ai Driven Investment Strategies, Alternative Data, Big Data, Company Blog, Data Provider, Data Science, Machine Learning, Predictive Analytics, QuantDesk, Quantitative Analysis, Quantitative Investing,

Erez Katz, CEO and Co-founder Lucena Research How Cross-Validation and Grid Searching Strengthen Your Model  As new datasets enter the predictive analytics world, streamlining their evaluation and deployment is becoming increasingly essential. Combining multiple, independent datasets into a single predictive model…

How Dynamic Models Prolong An Investment Strategy

How Dynamic Models Prolong An Investment Strategy

January 29, 2019 | Ai Driven Investment Strategies, Company Blog, Investment Strategies, Machine Learning, Model Portfolios, Portfolio Optimization, Predictive Analytics, QuantDesk, Quantitative Analysis, Quantitative Investing,

Erez Katz, CEO and Co-founder Lucena Research The benefits of dynamic models and how they prolong your investment strategy in a volatile market. One of the biggest fallacies of quantitative strategy development is the belief that a successful model will…

Why You Should Be Using A Genetic Algorithm for Feature Selection

Why You Should Be Using A Genetic Algorithm for Feature Selection

January 18, 2019 | Ai Driven Investment Strategies, Big Data, Company Blog, Machine Learning, Predictive Analytics, QuantDesk, Quantitative Analysis, Quantitative Investing,

Why You Should Be Using a Genetic Algorithm (GA) for Feature Selection At Lucena, our goal is to democratize some of the best kept secrets in the Financial industry. Our team works to refute the “black-box” image often associated with…

How to Use Arbitrage Trading for Foreign Exchange Strategies

How to Use Arbitrage Trading for Foreign Exchange Strategies

January 14, 2019 | Ai Driven Investment Strategies, Big Data, Company Blog, Data Science, Event Analyzer, Investment Strategies, Model Portfolios, Quantitative Analysis, Quantitative Investing,

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…

How To Avoid Missing The Obvious In Your Deep Learning Strategy

How To Avoid Missing The Obvious In Your Deep Learning Strategy

January 12, 2019 | Ai Driven Investment Strategies, Company Blog, Deep Learning, Investment Strategies, Machine Learning, Predictive Analytics, Quantitative Analysis, Quantitative Investing,

Erez Katz, CEO and Co-founder of Lucena Research In Deep Learning, Extracting The Right Insights Hinges On Several Key Steps. Here is how to form a thorough deep learning strategy for investment research. To illustrate, here are two examples that were…

Using Machine Learning to Convert Unstructured to Structured Data

Using Machine Learning to Convert Unstructured to Structured Data

January 10, 2019 | Ai Driven Investment Strategies, Alternative Data, Data Science, Machine Learning, Predictive Analytics,

  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…

How To Use RNNs and Time Series Data for Forecasting Stock Prices

How To Use RNNs and Time Series Data for Forecasting Stock Prices

January 9, 2019 | Ai Driven Investment Strategies, Alternative Data, Company Blog, Forecasting, Machine Learning, Neural Networks, Quantitative Analysis, Time Series Data,

How to Use Time Series Data and RNNs To Forecast Stock Prices. It’s important to configure deep net infrastructure to accommodate time series data.

How to Qualify the Best Machine Learning Model for Investment Research

How to Qualify the Best Machine Learning Model for Investment Research

January 8, 2019 | Ai Driven Investment Strategies, Deep Learning, Machine Learning, Quantitative Investing,

Erez Katz, CEO and Co-founder of Lucena Research Need to decide which of your trained models is the best? Here is how to qualify your model to maximize data’s potential before utilizing for investment and trading research.

A Scientific Approach To Multi-Strategy Investment

A Scientific Approach To Multi-Strategy Investment

January 7, 2019 | Ai Driven Investment Strategies, Event Analyzer, Model Portfolios, Portfolio Optimization, QuantDesk, Quantitative Investing,

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.

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