Scalar Field

Founder @ Scalar Field (https://t.co/PfVRM8MQmg) ; Tweeting abt financial markets; Professor @ University of Washington; ex-goldman, ex-tower research

Scalar Field is an AI agentic trading desk that covers market research, backtesting, brokerage-connected trading agents, and execution across equities, options, prediction markets, and pre-IPO names. The launch pitches the product as a way to take an investment idea from hypothesis all the way to a running strategy or an actively managed portfolio, which is a broader scope than the research copilots and single-purpose bots most traders currently stitch together. Target users span retail traders who want a disciplined workflow and professional desks looking for agents that can monitor news, parse filings, track sentiment, and rebalance without constant supervision. Scalar Field was founded in 2025 by Amandeep Singh, a former trader at Tower Research and Goldman Sachs, and Ramakant Yadav, a seasoned engineering leader who previously worked at Microsoft. Singh has a history of building trading technology, having traded interest rates at Goldman Sachs and worked as a quant trader at Tower Research before that. He is also a professor at the University of Washington. The company is part of Y Combinator's 2025 batch. What makes this launch worth a look right now is the framing of trading as a full agent loop rather than a chat interface. The product is built around the idea that an agentic strategy defines a market objective, checks live context, applies risk constraints, decides whether to act, executes through approved venues, and monitors the result in a continuous loop, with risk policy and feedback built into the decision path rather than bolted on afterward. Coverage extends beyond traditional equities into options, prediction markets like Polymarket, and crypto venues including Hyperliquid and Jupiter, which positions Scalar Field at the intersection of where LLM agents and retail-accessible execution have recently converged.

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