Pluribus Labs: Mining big data for investment gold

About Pluribus Labs

Pluribus Labs is a predictive analytics company that collects and curates content from a diverse range of unstructured sources, analyzes it, and provides actionable insights to investment professionals who use it for purposes including risk management, portfolio construction, and trade execution.

Industries: Financial Services
Location: United States

Google Cloud Platform enables Pluribus Labs to reduce the cost of providing its signature predictive analytics services and frees IT engineers to focus on higher-value tasks like product development.

Google Cloud Platform Results

  • Gains powerful analytics tools by changing cloud platforms
  • Accelerates delivering data-driven insights to customers
  • Cuts by 50% the cost of finding relevant information in social media
  • Frees 1.5 engineering FTEs to work on higher-value projects

Cuts social media content analysis time in half

Data-driven investment models historically have relied on company-specific data like financial statements and market data such as prices, returns, and volumes. Today, however investors, traders, financial advisors, and entrepreneurs believe big data could be a strategic advantage. Pluribus Labs agrees and is helping them derive predictive analytics from sources as diverse as social media chatter and even pedestrian traffic from mobile devices.

Pluribus Labs collects and curates unstructured content from the above sources and more, and then combines quantitative research and machine learning to deliver actionable insights to customers worldwide. The company hosted the data on another cloud platform, but realized it had the dual drawbacks of requiring too much infrastructure management and not having more advanced data mining tools.

“We chose Google Cloud Platform because it was the right solution for our business from a security, scalability, and reliability perspective.”

Sebastien Astie, Chief Technology Officer, Pluribus Labs

Google Cloud Platform, on the other hand, includes Google Cloud Pub/Sub, Google Cloud Bigtable, and Google Cloud Dataflow, which provide powerful analytics capabilities. Additionally, Google Cloud Machine Learning could help Pluribus Labs tackle more difficult big data analytics challenges, such as finding useful information based on investor sentiment collected from social media, including Twitter and the StockTwits social network for investors and traders.

“We chose Google Cloud Platform because it was the right solution for our business from a security, scalability, and reliability perspective,” says Sebastien Astie, Chief Technology Officer, Pluribus Labs.

Extracting useful information from social networks

By combining sources as varied as company data, public data, transcripts of earnings calls, social media, and mobile device location data, Pluribus Labs seeks to give customers an enriched understanding of companies, investments, the broader market, and individual stock returns. Pluribus Labs also customizes its analytics for each customer to add value across the investment lifecycle—from idea generation and risk management to portfolio construction and trade execution.

“Google Cloud Machine Learning is an extremely powerful tool for extracting useful information from unstructured data. We can provide investment managers with actionable insights quickly, at less cost, and with more accuracy than if we used an alternative.”

Sebastien Astie, Chief Technology Officer, Pluribus Labs

Using proprietary tools, Pluribus Labs extracts raw information from unstructured data and puts it all into the company’s specialized data format. Pluribus Labs then uses Google Cloud Pub/Sub as the central means of sending the data to Google Cloud Platform tools, including Google Cloud Dataflow and Google Cloud Bigtable, which extract usable information from the source data.

Google Cloud Machine Learning supports even more sophisticated analytics, such as pulling relevant information from Twitter and StockTwits posts, and building profiles of investor sentiment about specific companies and broader economic sectors, such as manufacturing, agriculture, and consumer packaged goods. Pluribus Labs makes this information and other insights generated by Google Cloud Platform available through a custom application programming interface (API) so customers can then apply the data to their own investment models.

“Google Cloud Machine Learning is an extremely powerful tool for extracting useful information from unstructured data,” says Sebastien. “We can provide investment managers with actionable insights quickly, at less cost and with more accuracy than if we used an alternative.”

Reducing costs and speeding time to insight

With Google Cloud Platform, Pluribus Labs has reduced costs, provided insights to its customers more quickly, and freed its engineers from managing infrastructure to focus on product enhancements and delivering value to customers. Compared with its previous cloud platform, Pluribus Labs estimates that Google Cloud Platform costs approximately 50 percent less to operate.

“We’re looking forward to offering even more sophisticated analytics based on what’s possible with Google Cloud Machine Learning and other tools such as Google Cloud Speech API and Google Cloud Vision API.”

Sebastien Astie, Chief Technology Officer, Pluribus Labs

“We provide our customers with actionable insights based on unstructured, unconventional sources of financial information,” adds Sebastien. “We’re looking forward to offering even more sophisticated analytics based on what’s possible with Google Cloud Machine Learning and other tools such as Google Cloud Speech API and Google Cloud Vision API.”

About Pluribus Labs

Pluribus Labs is a predictive analytics company that collects and curates content from a diverse range of unstructured sources, analyzes it, and provides actionable insights to investment professionals who use it for purposes including risk management, portfolio construction, and trade execution.

Industries: Financial Services
Location: United States
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12 Months FREE TRIAL

Try Kubernetes Engine, BigQuery, and other Cloud Platform products with $300 in free credit and 12 months.

TRY IT FREE