Managed Portfolios
Blackridge Capital
Veteran Wall St. Traders
Machine Learning Engines
One Combined Edge
Blackridge Capital is led by Wall St. veterans who spent careers on the desks their machine learning engines learned from.
Our RS & RL models are built to catch what a human trader would miss and a model alone might misread.
Built by traders who've run every type of portfolio.
Philip Lockett
With over 30 years Wall Street trading experience, Philip manages Blackridge's long/short book, setting the event driven discipline that keep the fund's quant engines anchored to real catalysts.
Experience at Millennium Management and Merus Capital drives the adherence to institutional standards.
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Jason Taylor
Drawing on a career spanning from retail investment planning to institutional bond trading and quant equity trading, Jason is the architect of the firm's machine learning portfolios that the firm trades on today.
He's focused on building the firm's tech stack to ensure the firm can outperform the competition.
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Investment Philosophy
At Blackridge Capital, traditional event driven strategies and machine learning signal generation aren't competing approaches - they compliment each other. Neither trades alone. The net effect being returns consistently above the index. Not from either approach alone, but from the discipline required of to agree.