SYSTEMIC ALGORITHMIC TRADINGThe signals most participants cannot hear.
Neutheos has built a proprietary signal processing engine that detects and trades on market signals most participants are not equipped to detect — statistically significant information that exists in plain sight in price data, but outside the range most are tuned to notice.
Signal, not noise.
Our engine is designed to detect the financial equivalent of a dog whistle — signals that exist clearly in price data, but at frequencies too far outside the dominant range for most participants to register, let alone trade.
Most market participants — and most algorithms — focus only on the dominant, high-amplitude signals: earnings, macro news, momentum. They leave a great deal of other information on the table. We don't compete on speed. We compete on accuracy, incorporating a dramatically broader range of signal to produce higher-confidence trades.
This is our edge.
The Strategy
We run a systematic, algorithmic strategy across a broad universe of US-listed equities and ETFs. The engine scans for statistically significant pricing dislocations — situations where a security is temporarily mispriced relative to the signals embedded in its own price history — and takes long or short positions accordingly.
Because these signals are largely uncorrelated with the macro events that drive most market activity, the strategy generates returns that are structurally independent of broad market direction.
THE FOUNDERS
Dr. Prasanta Pal
Chief Architect &
Co-Founder
Yale-trained physicist with a career spanning applied physics, quantum computing, and signal processing. The mathematical techniques at Neutheos's core were built to extract signal from noise in environments where the signal is faint and conventional methods fail. Financial markets turned out to be exactly that kind of environment. Creator of the platform IP. 40+ peer-reviewed papers.
Devon White
CEO & Co-Founder
25 years in behavioral engineering and systems design. Systems architect translating breakthrough science into scalable fintech ventures and elite teams.