NovaMarketLabs
AI quant research · deterministic backtests · open-source SDK

Write strategies, run backtests, turn ideas into code.

NovaMarket Labs is an online research & testing platform for quant developers: write Python strategies in the browser, iterate with an AI assistant, backtest and sweep parameters in a deterministic sandbox, publish to the open-source community. Pure research — no fund custody.

Built-in templates9
Backtest engineDeterministic
SDK licenseMIT
SandboxAST allowlist
Featured strategies · backtest equity
Simulated

Curves are backtests over deterministic-simulated / historical price paths — research reference only, not live returns, not a promise of future performance.

Build by market

Pick a market to see which dev modes and studio templates it supports.

HyperliquidPerp
StudioSDKRESTPrograms

12 studio templates

Open studio →
PolymarketEvent
StudioSDKREST · soonPrograms · soon

4 studio templates

Open studio →
UniswapSpot
Studio · soonSDKREST · soonPrograms · soon
Read docs →

Who it's for

Quant developers

From idea to backtest in the browser

CodeMirror editor + AI assistant + deterministic backtests + parameter sweeps.

Open Studio →
Learners

Read open strategies, learn the patterns

9 built-in strategies with full source and backtests.

Browse strategies →
Authors

Publish strategies, on-chain attribution

Verified strategies can be registered on-chain and earn an attributed carry share when adopted.

Author center →

Platform capabilities

01

Online IDE + AI

Python editor, live lint, conversational AI rewrite & suggestions.

02

Deterministic backtest

Reproducible by seed; synthetic GBM or real history; parameter sweep.

03

Sandbox safety

User code runs in an isolated subprocess — AST allowlist, no creds, no network.

04

Open-source SDK

nova-strategy-sdk (MIT), pip-installable, CLI backtests, identical to the platform.