N of 1 raises $15M to build trading agents — betting that AI-powered investing will follow the same adoption curve as coding agents

N of 1 has raised $15M to build consumer-facing trading agents, with founder Jay Azhang making the case that autonomous investing tools are on the same adoption curve that coding agents followed — from niche to ubiquitous within two to three years.

The core product lets users describe a trading thesis in natural language, then deploys autonomous agents to execute it across connected brokerage accounts. N of 1 isn't building a hedge fund. Azhang is explicit about that distinction: hedge funds optimise for quarterly returns; N of 1 is trying to train models that generalise across markets and, over a long horizon, outperform the best human traders and algorithmic systems. Markets are the training environment, not the product.

“Trading agents are about to go through the same sort of adoption curve as coding agents — from basically no one using them today to basically everybody using them in the next couple of years. Two or three years from now, we believe that trading without a trading agent will be like coding without a coding agent. You'll be able to describe a thesis or an idea in natural language, and then the models we're developing will get you from that natural language to a fully deployed trading agent.”

Building the stack

Getting there requires solving three hard infrastructure problems. The first is data: live feeds from every market users might want to trade, cleaned and prepared for agent consumption. The second is model capability, where Azhang is candid that today's LLMs aren't good enough for autonomous trading tasks. N of 1 launched something called Alpha Arena specifically to demonstrate that gap and to develop what Azhang describes as a "world-class harness" for trading and deep-research market queries. The third is execution infrastructure — DevOps, server management, paper trading, and iteration tooling that makes deploying a strategy practical without requiring users to code.

Distribution

N of 1 isn't trying to displace the existing brokerage layer. Users connect their existing accounts (Robinhood, Interactive Brokers, and others), or onboard through a partner like Alpaca or IBKR if they don't have one. The platform sits on top.

Azhang joined the team with someone from Renaissance Technologies, though he was clear that N of 1's goals diverge sharply from what Renaissance or Jane Street are optimising for. The bet is that within a few years, trading without an agent will feel as anachronistic as writing code without one.