Published Nov 11, 2016

Unstructured Data for Finance

Delia Rusu delves into the transformative power of unstructured data in finance, revealing how innovative preprocessing techniques and graph-based analysis of sources like Wikipedia can unlock unique market insights and competitive advantages.

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Dexa/Kyle Polich

Unstructured Data for Finance

Topics covered

Popular Clips

Unconventional Data Sources

Exploring New Data

Preprocessing for Useful Signals

Extracting Insights from Wikipedia

The Algorithmic Arms Race

Analyzing Financial Data

Extracting Market Insights

Understanding Alpha

Unlocking Alpha

Episode Highlights

Data Processing Techniques

Algorithmic Advancements

Unstructured Data Exploration

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Predicting Stock Prices

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Unstructured Data for Finance

Topics covered

Popular Clips

Episode Highlights

Data Processing TechniquesDelia Rusu explores the potential of unstructured data in finance, focusing on preprocessing techniques and graph-based analysis. She discusses how Wikipedia can be used to extract valuable insights for financial decision-making.

Data Processing Techniques

Algorithmic AdvancementsDelia Rusu explores the transformative potential of unstructured data in finance, emphasizing the need for innovative algorithms to maintain a competitive edge. She discusses how leveraging diverse data sources, like Wikipedia, can provide unique insights into market trends.

Algorithmic Advancements

Unstructured Data ExplorationDelia Rusu explores the untapped potential of unstructured data, particularly from Wikipedia and social media, in financial analysis. She highlights how these unconventional sources can provide valuable insights and a competitive edge in the market.

Unstructured Data Exploration

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