Zettacap focuses on new data sources like social media, quantified news, web traffic, and user generated content, while incorporating traditional finance data.
Improve your analysis by looking at a more complete view of the asset and your investment thesis.
Our web-based interface allows you to configure your own interactivity, from time series and comparative studies to machine learning, feel free to explore.
Hadoop's fully distributed nature allows for true scalability, even with extremely large and complex datasets.
Zettacap only looks at finance—sector specific focus makes big data digestible, adding value where generalists stop.
Beta testers can freely use our entry level product, for additional paid-for services please contact us directly.
You can tweak, customize, and optimize your analysis to suit your needs and trading style.
Zettacap improves fundamental analysis and scenario development—which companies have the most robust hiring trends?
Zettacap provides new dimensions to technical analysis—attention, volume, sentiment, clustering, all help provide improved signals.
Founder at AmalgaMood, big data predictive analytics for financial markets; previously founding Partner at two alternative asset management firms, structuring advisor to two companies through successful IPOs, speaker at hedge fund, big data, text analytics and economics conferences; MIBS, University of South Carolina.
Founder at Currencio, the peer-to-peer foreign exchange platform; previously CEO at General Word Development, Portfolio Manager at Millennium Global Investments, Analyst at WL Ross and Goldman Sachs; AB degree from Harvard College.
Innovative data team-lead building large-scale apps for 10+ years, frequent speaker on open source distributed systems, machine learning, and analytics; O'Reilly author Enterprise Data Workflows with Cascading; formerly Chief Scientist at Mesosphere, Director at Concurrent; MS Computer Science/Systems, Stanford University.
Principal with The McLean Group, manages the firm's business valuation practice, which performs business valuations for public and private companies for transaction, financial reporting, equity incentive plan, tax, and other purposes; CPA/ABV, ASA, CVA, CMA, CMAP, Series 7, 28, 63, and 79 licenses; BS Business Administration, University of Richmond.
Co-Founder and President of Data Community DC, a 5,000+ member organization promoting data sciences; O'Reilly co-author of Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work; Senior Solutions Architect at Sentrana; previously Senior Data Scientist at Kaplan Test Prep; PhD, Computer Science (Cognitive Science) from University of Illinois at Urbana-Champaign.
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