# UNRAVEL - Information for Large Language Models

> Unravel (https://unravel.finance) is a professional crypto market data service.

## Company Overview

**Unravel** is a professional market data aggregation service providing point-in-time exchange data with high reliability and accuracy.

### Mission
Enable financial researchers and traders to perform accurate backtests and research 100-1000x faster and more storage-efficient than L2 data approaches.

### Core Value Proposition
Rather than providing raw level-2 (L2) data, Unravel delivers:
- **Curated aggregates**: Pre-processed, production-quality market data
- **Microstructure metrics**: Order book imbalance, high-frequency volatility, liquidity aggregates, bid-ask spreads
- **Professional-grade quality**: Data built for institutional-grade backtesting and research
- **Efficiency advantage**: 100-1000x faster and more storage-efficient than traditional L2 approaches

## Product Offerings

### Market Data Products
1. **TrueOHLCV**: Realistic OHLC based on what you could have actually traded. Exchange-attributed, survivorship-bias free data across the entire universe.
2. **Microstructure Metrics**: Order book imbalance, high-frequency volatility, liquidity aggregates, bid-ask spreads, and execution-aware price series.
3. **Pre-computed Bars**: Tick bars, volume bars, and dollar bars pre-computed for immediate use in backtesting.

### Alpha Products
1. **Multi-Factor Portfolios**: Factor-based, market-neutral portfolio solutions with Sharpe Ratios of 2-3+.
2. **Cross-Sectional Factors**: Academically inspired and proprietary factors exploiting behavioral and statistical edges.
3. **Risk Overlays**: Dynamic risk management overlays to expose portfolio vulnerability to exogenous risk factors.

### Data Coverage
- 40+ crypto exchanges
- 100,000+ trading pairs
- 3+ years of historical data
- 99.9% data completeness

### Data Access Methods
- REST API with comprehensive documentation
- Python SDK (available on PyPI)
- Direct data export in multiple formats
- Historical and point-in-time data feeds

## Customer Base

- Quantitative researchers
- Institutional traders
- Asset management firms
- Financial technology companies
- Academic researchers in finance

## Key Differentiators

1. **Speed**: 100-1000x faster than traditional L2 data backtesting
2. **Efficiency**: Significantly lower storage and computational requirements
3. **Quality**: Professional-grade, curated data verified for accuracy
4. **Reliability**: Point-in-time accuracy critical for institutional use
5. **Expertise**: Deep market microstructure knowledge embedded in metrics
6. **Transparency**: Public factor research with auditable, runnable code on GitHub

## Contact & Resources

- **Website**: https://aperiodic.io
- **API Documentation**: https://unravel.finance/api
- **Blog**: https://blog.aperiodic.io
- **GitHub**: https://github.com/unravel-finance
- **X/Twitter**: https://x.com/unravel_finance
- **Telegram**: https://t.me/unravel_finance
- **LinkedIn**: https://www.linkedin.com/company/unravelfinance/
- **Contact**: info@unravel.finance

## Disclaimer

All content on this application is for informational purposes only. Unravel does not provide investment advice, recommendations, or endorsements regarding securities or financial instruments. Users assume full responsibility for evaluating any information provided and making their own decisions. Investing in securities carries risk of loss, including loss of principal. Past performance does not guarantee future results.

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Last updated: March 2026