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CloudQuant Data Liberator Overview

CloudQuant Data Liberator is CloudQuant’s core data delivery platform that provides simple point-in-time data access via API for both live and historical time series data.

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Architecture

CloudQuant Data Liberator serves as the central hub for accessing CloudQuant’s data ecosystem:
  • Data Ingestion — Connects to 70+ data providers and integrates their feeds
  • Data Storage — Manages time series data with efficient compression and indexing
  • Data Delivery — Provides API access in multiple programming languages
  • Access Control — Manages dataset entitlements and user permissions

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Supported Languages

CloudQuant Data Liberator provides native client libraries for:
  • Python — Full-featured client with Pandas DataFrame support
  • C# — .NET client library
  • JavaScript — Node.js module
  • Java — Java client library
  • R — R language client
  • RESTful — HTTP REST API for any language
  • C++ — High-performance native client with Apache Arrow support
  • Excel — Plug-in for direct spreadsheet access

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Key Concepts

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Datasets

A dataset is a named collection of time series data. Use liberator.datasets() (Python) or equivalent methods to discover available datasets.

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Queries

Queries retrieve data from datasets using parameters like time range (as_of, back_to), symbols, and column selection.

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Timestamps and MUTS

CloudQuant Data Liberator uses microsecond timestamps (MUTS) for precise time series data alignment.

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Getting Started

Choose your preferred language from the API Reference section, or follow the Python Getting Started Guide for the most common path.