About Stream Trading
software development, information technology & services
Stream Trading's Tech Stack
Cloud
Other
Decision Makers at Stream Trading
1 contactDiogenes Casares
Chief Executive Officer
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AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.
Stream Trading's Position in the StackWho Database
- • Stream Trading is 1 of 194,140 information technology & services companies tracked in StackWho.
- • 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
- • 53,147 companies in California are in the StackWho database.
- • 97,391 information technology & services companies are in the 1-10 employee range (same size as Stream Trading).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.
Frequently Asked Questions
What technology does Stream Trading use?
Stream Trading uses Amazon CloudFront, Route 53, Amazon SES, Amazon AWS. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Stream Trading?
StackWho has verified email addresses for 1 decision maker at Stream Trading. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Stream Trading directly for sales, recruiting, or partnerships.
What industry is Stream Trading in?
Stream Trading operates in the information technology & services industry, headquartered in Redwood City, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Stream Trading's contact data?
Yes. StackWho Pro members can export decision maker contact data for Stream Trading and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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