A Flight Simulator for Day Trading.
Human-Led. AI-Executed.

The Situation

Systematic traders with working strategies face a recurring problem: automating execution requires custom infrastructure, ongoing maintenance, and a willingness to babysit a brokerage API at 9:30 a.m. Eastern. The alternative — discretionary execution — gives back every edge the strategy was supposed to capture.

Backtesting platforms exist, but most are siloed from execution. Execution platforms exist, but most require code. The gap between "I have a proven strategy" and "the strategy runs without me" is where most traders quit.

What NURO Built

TradeRunner closes the gap end-to-end. NURO built the full platform — the strategy definition layer, the backtesting engine, the live execution loop, and the brokerage integrations:

• A no-code strategy DSL — traders define buy/sell triggers, position sizing, and risk controls through simple dials. No Python, no broker-specific syntax, no scripting.
• Backtesting against real historical market data — up to ten years of tick-resolution data depending on plan, with simulated funds for risk-free strategy validation before any capital is deployed.
• A live paper-trading mode — strategies run against real-time market data with simulated execution, giving traders a bridge between historical backtests and live capital.
• A 60-second execution cycle — the live engine evaluates watchlist symbols against user-defined triggers on a tight loop and fires orders through connected brokerages.
• Brokerage integration pipeline — Alpaca is live; Interactive Brokers, TradeStation, and Schwab are on the roadmap. The integration layer is built to be extended.
• Paper vs. live separation model — the platform enforces a hard boundary between paper-trading and live execution so a trader cannot accidentally flip strategies into production.

The Outcome

Traders who used to spend evenings rebuilding backtesting engines or writing brokerage glue can now validate a strategy, paper-trade it, and graduate to live execution in the same platform. The tagline — "Human-led. AI-executed." — is the operating model. The trader owns the strategy; the platform owns the execution discipline.

Why It Mattered

TradeRunner is a clean example of where AI does not need to be speculative or generative to add leverage. The intelligence in the system is execution discipline at internet-clock speed — exactly the thing humans are bad at and machines are good at. The trader stays in the loop on every strategy decision; the AI handles only what it should: deterministic, fast, and tireless execution against rules a human authored.

That is the HI → AI = I^E doctrine in production. Human Intelligence guides AI. AI amplifies it. Every interaction is reviewable.