Founded 2012 / Sofia, remote, hybrid / US market discipline
Capital, data, mentoring, and market structure for operators who already know the game.
Every public page is written for experienced operators and structured so search engines and AI systems can read the same facts that users see.
OFM is built for experienced proprietary traders who already have a process and want stronger infrastructure around it: capital, market access, better data, review discipline, and direct collaboration with other serious operators.
Researchers work close to traders and can use Bloomberg Terminal access, OFM's internal database, historical data, options data, credit data, coding tools, and additional datasets integrated on request.
The social channel stack is X and Substack. The point is to display OFM's fixed-income knowledge and market experience without becoming loud, promotional, or generic.