Trading Machines

Trading Machines

tradingmachines.com

financial services

Stamford, Connecticut, United States
51-200 employees
18928000 revenue

Trading Machines's Tech Stack

Decision Makers at Trading Machines

1 contact

Peter Cui

CTO

p***@haimbodek.com Sign up to view

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3 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

Trading Machines's Position in the StackWho Database

  • Trading Machines is 1 of 21,667 financial services companies tracked in StackWho.
  • 21,586 financial services companies in our database have verified decision-maker emails (100% of the cohort).
  • 2,639 companies in Connecticut are in the StackWho database.
  • 2,266 financial services companies are in the 51-200 employee range (same size as Trading Machines).

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 Trading Machines use?

Trading Machines uses Amazon AWS, Render, Remote. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Trading Machines?

StackWho has verified email addresses for 1 decision maker at Trading Machines. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Trading Machines directly for sales, recruiting, or partnerships.

What industry is Trading Machines in?

Trading Machines operates in the financial services industry, headquartered in Stamford, Connecticut, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Trading Machines's contact data?

Yes. StackWho Pro members can export decision maker contact data for Trading Machines and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.