Market LabDocs

Changelog

Release notes for every Market Lab version.

v0.1.71Latest

BULK has arrived

A purpose-built trading network for speed, fair ordering, and open market making is live on mainnet—and Market Lab is ready.

v0.1.7

Unified Hyperliquid outcome routing

Use hyperliquid for Spot and HIP-4 outcomes, select --hip 1 or --hip 4 during market discovery, and filter live outcomes by deployer.

v0.1.6

First-class Jupyter Notebook research

Open JupyterLab from the CLI, fetch complete historical ranges lazily, and use Market Lab's native studies without installing a Market Lab Python package.

v0.1.5

Breaking HIP-3 API and expanded HyperLink execution

Use hyperliquidf for core and HIP-3 perpetuals, with the DEX encoded in symbols such as xyz:TSLA. HyperLink now executes Spot and HIP-3 orders through hyperlink and hyperlinkf.

v0.1.2

HyperLink execution and EntropyIO HIP-3 markets

Route core perpetual orders through HyperLink and discover, analyze, or execute EntropyIO markets through hyperliquidf-io.

v0.1.1

Remote transport and named execution accounts

Route commands through SSH, execute Python V2 orders on named BULK or Hyperliquid subaccounts, and bound market-order slippage.

v0.0.8

Python V2, Docker mlabd, and outcome market making

Backtest and deploy Python strategies with your own packages, choose a Native or Docker daemon, and run Mid-Price, Volume-Mid, and Grid on outcome markets with automatic Yes/No inventory handling.

v0.0.7

Hyperliquid Spot, XYZ perpetuals, and live outcome markets

Discover and trade HIP-4 outcomes alongside exact Hyperliquid spot pairs and standalone XYZ perpetuals. Futures now use base-only symbols.

v0.0.6

Multi-symbol scripts and classic paired grids

Read and trade several symbols from one script. Run fixed grid cells where every completed order places its pair one step away.

v0.0.5

Market Lab becomes a complete execution runtime

Standalone Binance data, perpetual execution, detached jobs, execution-aware backtests, JavaScript scripting, native strategies, and market-making bots.