Impact-Site-Verification: 41b53a0c-6d04-458b-a457-fe9e29acde1a

Fintech & Web3/Seedtradingagentsbacktestingdeployment·

Scalar Field

The agentic trading desk

Scalar Field screenshot 1

What it does

Scalar Field is a platform that enables traders to build, backtest, and deploy AI-powered trading agents across multiple asset classes, including equities, options, prediction markets, and on-chain assets. The platform ingests real-time data from over 63 news providers, corporate filings (SEC Form 4, 13F), economic releases, and macro indicators, delivering events to agents in under 300 milliseconds. Users can connect their brokerage accounts (Alpaca, Robinhood, Webull, Public.com, Polymarket, Hyperliquid) and let agents execute trades automatically based on user-defined strategies. The platform provides a library of pre-built strategies (e.g., Gamma-Squeeze ML, Congressional Mirror, Short-Squeeze Hunter) and allows users to create custom strategies via natural language input (e.g., "Sell weekly cash-secured puts on AAPL 5% OTM"). Scalar Field is backed by Y Combinator and claims to be an SEC-registered investment adviser.

Who it is for

Scalar Field is designed for retail and institutional traders who want to automate complex trading strategies without writing code. It targets users who are comfortable with quantitative concepts but may lack the engineering resources to build a low-latency data pipeline and execution system. The platform mentions integration with brokerages commonly used by retail investors (Robinhood, Webull) as well as institutional-grade data sources (Citibank, Goldman Sachs, etc. shown in logos), suggesting a broad user base from individual traders to professional fund managers. It also caters to those interested in prediction markets (Polymarket) and on-chain assets (Solana-based tokenized pre-IPO equities like SpaceX, OpenAI).

Why it matters

Traditional trading platforms often separate research, backtesting, and execution, forcing traders to manually move between tools. Scalar Field unifies these steps into an agentic workflow where an AI agent can act on market events within milliseconds. This reduces latency from event to trade, giving users an edge, especially in fast-moving markets like earnings reactions or insider trading disclosures. The platform also provides historical backtesting with the same tick-to-trade timestamps, allowing users to validate strategies before going live. By supporting multiple asset classes (including prediction markets and tokenized equities) in one platform, it reduces fragmentation and enables portfolio-level automation.

Launch signal

Scalar Field launched on Y Combinator in 2024 (as evidenced by the "Launch YC" badge on the website). The platform is actively being developed, with a public roadmap shown on the website and a Discord community for users. The website shows integration with multiple brokerages and data sources, indicating an operational product rather than a prototype. The pricing page is linked but not detailed in the provided markdown; however, the platform appears to be live and accepting users ("Talk to Us" and "Try Now" buttons).

Brand and naming

The name "Scalar Field" evokes physics concepts—a scalar field assigns a scalar value to every point in space. This metaphor aligns with the platform's promise of assigning actionable signals (scalars) to every market event, enabling precise, automated trades. The brand positions itself as "institutional-grade" yet accessible, with a clean, modern visual design. The tagline "The agentic trading desk" emphasizes autonomy and agency, differentiating from traditional "trading terminals" that are passive. The use of logos from Citibank, Goldman Sachs, and Wharton suggests aspirational positioning, though actual partnerships are not explicitly claimed.

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