Developers / AI

Build on NovaMarket

Four ways to bring a strategy onto the platform — from zero-code to a fully autonomous program. Deep docs, examples and the research community live on NovaMarket Labs.

Online Studio + AI

Try fast in the browser — no local setup, AI-assisted.

•Write strategies in-browser with an AI dev assistant
•Deterministic backtests + parameter sweeps
•Publish to the plaza; ops-verified strategies go live
•Earn automatic on-chain carry when operators run your strategy

Open the Studio

Hosted on NovaMarket Labs (labs.novamarket.io) — the community research site, separate from the funds platform.

Open-source SDK + CLI

Pro quants who want local dev, version control and CI.

•pip install the open-source nova-strategy-sdk
•Backtest from the CLI: fp-strategy backtest
•Real historical candles or a seeded deterministic simulator
•Same strategy class runs in backtest and on real venues

GitHub

REST API + Agents

Dashboards, AI agents, and data integrations.

•Public read-only /api/v1 — pools, params, balances, settlements
•Machine-discoverable: openapi.json, llms.txt, agents.json
•Anonymous, JSON, CORS — no key needed to read

OpenAPI Operators placing orders programmatically → get an API key

Program Operators

Program

Register a quant program as a first-class operator: design the strategy core online with AI, backtest it, deploy (hosted or self-hosted), bind a pool and run — programs rank on the same leaderboard as human operators.

•Auto-admission deploy: a passing backtest mints your program its own operator EOA
•Hosted (platform-run, sandboxed) or self-hosted (your server + program API key)
•Trades under the same limits and ranks on the same leaderboard as human operators

Program console

Machine-discoverable

OpenAPI 3.1 llms.txt llms-full.txt agents.json ai-plugin.json

Full documentation, endpoint reference, code samples and the strategy community: NovaMarket Labs →