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Data Catalog - Data Integrations

CloudQuant Data Liberator integrates with over 70 data providers, offering a comprehensive catalog of financial, alternative, and economic datasets.

Market & Financial Data

DatasetDescription
SpiderRock Options & FuturesOptions and futures market data
CryptoQuoteCryptocurrency market data
S&P Dow Jones IndicesIndex data and analytics
Canari OptionsOptions analytics and data

Alternative Data

DatasetDescription
AlexandriaEarnings and news sentiment analysis
BMLL TechnologiesLevel 3 order book data
Exegy Hidden Order FlowHidden and dark pool order flow
GWI Audience InsightConsumer audience analytics
Likefolio TwitterSocial media sentiment from Twitter
Lunarcrush Crypto SentimentCryptocurrency social sentiment
Smart Insider (Buybacks)Corporate buyback intelligence
New Constructs (Earnings Anomalies)Earnings quality analytics
Precision AlphaPrice prediction signals
Danel SmartScoreMulti-factor scoring

Economic Data

DatasetDescription
FRED Release SeriesFederal Reserve Economic Data
Bureau of Economic Analysis GDPU.S. GDP data
Bureau of Labor StatisticsEmployment and labor data
U.S. Energy Information AdministrationEnergy market data
EuroStatEuropean economic statistics
CFTC Commitment of TradersFutures positioning data

Regulatory & Reference Data

DatasetDescription
FINRAFinancial regulatory data
SEC Filing DataSEC filings and disclosures
Regalytics Regulatory DataRegulatory intelligence

Environmental & Weather Data

DatasetDescription
Athenium WeatherWeather analytics for trading
CustomWeatherCustom weather data feeds
Ilika WeatherWeather data and forecasts

Additional Datasets

DatasetDescription
Linkup JobsJob market data
Shipfix ShippingGlobal shipping and freight data
ESG Data ProvidersEnvironmental, social, governance metrics
Dataset availability depends on your subscription and entitlements. Use liberator.datasets() in Python to see which datasets you have access to. Contact CloudQuant to request access to additional datasets.

Accessing Datasets

import liberator

# List all datasets you have access to
datasets = liberator.datasets()
print(datasets)

# Query a specific dataset
df = liberator.query(
    dataset="your_dataset_name",
    symbols=["AAPL"],
    as_of="2024-01-01",
    back_to="2023-01-01"
)
See the Python Guide for more details on discovering and querying datasets.