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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, machine learning, Quantitative Investing,

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

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Data Science: A Prerequisite To Machine Learning and Investment Research

Data Science: A Prerequisite To Machine Learning and Investment Research

January 18, 2019 | Alternative Data, data science, data validation, machine learning,

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.

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, data science, Event Analyzer, Model Portfolios,

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.

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 | deep learning, machine learning, strategy,

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.

Is Your Data Predictive? How to Measure Before Risking Capital

Is Your Data Predictive? How to Measure Before Risking Capital

January 10, 2019 | DAS, data science, machine learning, Predictive Analytics, quantitative analysis, Quantitative Investing, strategy,

Erez Katz, CEO and Co-founder of Lucena Research Here are the pitfalls data providers and data consumers should be aware of.

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,

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…

Is Your Deep Learning Strategy Robust Enough?

Is Your Deep Learning Strategy Robust Enough?

January 9, 2019 | backtest, big data, deep learning, forecast, investment strategies, quantdesk, Quantitative Investing,

Erez Katz, CEO and Co-founder of Lucena Research. How to test the robustness of a deep learning strategy. Best practices geared to test your quantitative investment strategy before risking capital.

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, machine learning, neural networks, quantitative analysis,

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.

Alt Data and AI Driven Investment Strategies Case Studies

How we add value

# Data Validation                   

# Data Enhancement                     

#Investment Strategy                   

#Quantitative Analysis Research

alt data and ai driven investment strategies

Prattle Analytics Gained Actionable Insights from Alternative Data
#Data Validation

Lucena validated and enhanced Prattle’s data, backtested out of sample for signal predictive strength, and provided new audience for Prattle through Lucena’s QuantDesk® customers.

VIEW FULL CASE STUDY >

Hedge Fund Case Study

How Lucena Increased Portfolio Returns By 180 Basis Points #Investment Strategy

A quantitative approach provided incremental growth and portfolio optimization for a multi-billion-dollar discretionary fundamental hedge fund.

VIEW FULL CASE STUDY >

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