Investment Research & Quantitative Analysis
Hedge funds, asset managers, and investment research teams use ComFinData financial datasets to enhance portfolio strategies, identify market opportunities, and improve forecasting accuracy.
Where research teams hit the data wall
Alpha rarely comes from the same data everyone already has. Terminal feeds cover prices and fundamentals, but the questions that move a thesis — how spending is shifting, which companies are hiring, what a portfolio's real ESG exposure looks like — need datasets that sit outside the standard stack.
Building those inputs internally means scraping, cleaning and maintaining pipelines that have nothing to do with the actual research.
How licensed datasets close the gap
ComFinData packages the alternative and market data that research workflows consume most: exchange tick data for microstructure and execution studies, pre-computed technical analytics for factor work, card transaction aggregates for demand nowcasting, and ESG scores for screening and mandate compliance.
Every dataset ships with a documented schema and a real data preview, so quants can judge fit before a discovery call — and delivery lands in the warehouse or research environment you already run.
From dataset to signal
A typical engagement starts with a historical file for backtesting, moves to a scheduled refresh once the signal survives out-of-sample testing, and adds adjacent datasets — labor signals, registry records for entity resolution — as coverage questions appear.
Because pricing is transparent (subscription or one-time snapshot), research teams can trial a thesis without committing to an enterprise contract on day one.
Key applications
- Equity and ETF performance analytics
- Factor modeling and quantitative signals
- Alternative data insights for alpha generation
- Market trend analysis and macro intelligence
- Backtesting investment strategies
Datasets for Investment Research & Quantitative Analysis
Showing the 12 most relevant of 13 matching datasets.
Dow Jones 30 Stocks - Technical Analytics Dataset
Daily OHLCV prices with pre-calculated technical indicators for all 30 Dow Jones Industrial Average components. Includes moving averages, volatility metrics, and return analytics.
Credit Card Transaction Aggregates
Anonymized and aggregated credit card transaction data by merchant category, geography, and time period for market research.
Commercial Real Estate Listings
Active and historical commercial property listings with asking prices, cap rates, square footage, and zoning information.
Financial Markets Tick Data
Millisecond-level tick data for equities, futures, and options across major global exchanges. 20+ years of historical data available.
Global Company Firmographic Database
Comprehensive firmographic data covering 120M+ companies worldwide including revenue, employee count, industry codes, and contact details.
Residential Property Valuations
Automated property valuations for 140M+ US residential properties. Includes comparables, price history, and neighborhood analytics.
Executive Job Change Signals
Weekly verified executive job-change events: who moved, old and new company, title and dates — sales triggers and CRM hygiene for revenue teams.
ESG & Sustainability Scores
Environmental, social, and governance ratings for 15,000+ public companies. Carbon emissions, diversity metrics, and governance scores.
Global Business Registry Records
Official business registration data from 100+ countries. Company formation dates, officers, registered addresses, and filing history.
Job Postings & Labor Market Data
Real-time job posting data from 50,000+ sources. Track hiring trends, salary ranges, skill demands, and company growth signals.
Mobile App Usage Analytics
App download estimates, daily/monthly active users, session duration, and retention metrics for 5M+ mobile applications.
North American Multifamily Rent & Operating Expense Benchmarks
Property-level multifamily rents, concessions, occupancy, line-item operating expenses, and NOI-per-unit benchmarks across US and Canadian markets.
Frequently asked questions
Can I get historical data for backtesting before subscribing?
Yes. Most financial datasets are available as one-time historical snapshots priced separately from the ongoing subscription, so you can validate a strategy out-of-sample before committing to a refresh cadence. Use the Request Access button to scope the lookback window you need.
How is the data delivered into a quant research stack?
Delivery options include flat files (CSV, JSON, Parquet), API access, SFTP, and direct loads to Snowflake, Databricks, AWS, Azure, or GCP — pick whatever your research environment already reads. Cadence ranges from real-time feeds to monthly refreshes depending on the dataset.
Can't find the exact data you need for Investment Research & Quantitative Analysis?
Tell us what you're looking for — coverage, attributes, cadence — and we'll scope it with you on a short discovery call.
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