# Monoquant > The future of trading. Monoquant lets users build trading strategies without coding using a drag-and-drop interface with backtesting and AI-driven optimization. Monoquant is a node-based trading platform for creating, testing, and refining quantitative strategies. Users design logic with drag-and-drop nodes, run millisecond-level backtests, and use AI models to optimize performance. The system supports multiple data sources and timeframes for analysis and paper trading. - Type: Company - Sector: Finance - Status: Acquired - Founded: 2024-02-01 - Profile: https://thegrid.id/profiles/monoquant ## Products - [Monoquant](https://thegrid.id/profiles/monoquant): Monoquant is a no-code trading platform for building, backtesting, and paper trading quantitative strategies with AI-assisted optimization and detailed analytics. (Trading Terminal, Discontinued, Main Product) ## Assets - [MONQ (MONQ)](https://thegrid.id/profiles/monoquant): MONQ is the utility token of Monoquant, a no-code quantitative trading platform. It is used to earn rewards based on trading volume through a volume staking system and to stake tokens for rewards through mDAOs managed by traders. The token enables access to an achievement rewards pool for reaching trading milestones and completing platform quests that incentivize engagement and skill development. (Utility) ## Links - [Main](https://monoquant.com) - [Documentation](https://docs.monoquant.com) - [Whitepaper](https://docs.monoquant.com/monqpaper) - [Twitter / X](https://x.com/monoquant) - [Telegram](https://t.me/monoquant) ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation. Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service. The following applies to both licensing models. - All data is provided AS IS with no guarantees of accuracy. - The Grid does not provide investment, legal, or tax advice, and - a project's presence in The Grid's data does not imply endorsement. - [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers - [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service. - [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service. - [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services. - [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures ## Optional - [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model - [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships - [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type - [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types - [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP