Use Cases

Trading
Develop and backtest cryptoasset algorithmic trading strategies

Research
Make accurate and relevant investment recommendations for portfolio manager

Portfolio Management
Allocate portfolios to digital assets with confidence

Risk
Confidently model crypto exposures and risk

Treasury
Effectively mitigate digital asset class volatility

Tax and Accounting
Bring efficiency and confidence to digital asset accounting

Compliance
Easily comply with changing regulatory requirements

Learn How Market Maker GSR is Leveraging Amberdata

GSR enhanced its visibility into crypto options by overlaying Amberdata’s context-driven metrics to bolster its suite of analytics.

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Industries

Asset Management
Manage portfolios, stay ahead of competitors, and optimize strategies.

Trading
Gain a competitive edge in trading with low latency, scalable data infrastucture

Investment Banks
Develop new financial products, ensure compliance, and optimize trading strategies

Regulators and Public Sector
Oversee digital asset markets, investigate market and protocol fraud, and develop policy

Central Banks
Effectively monitor risk, enforce regulations, guide policy, and protect consumers

Venture Capital
Assess performance, risk, adoption, and market position for digital asset startups

Fintechs
Develop new products or integrate digital assets into existing financial applications

Wealth Management
Monitor digital asset markets, and assess client portfolio performance, risk, yield and exposure

Corporate Treasury
Gain expertise to optimize digital asset strategies and meet shareholder requirements

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Award-winning options analytics platform that enables traders to capitalize on the cryptocurrency derivatives market

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Solutions

Developers

Order Pricing Research Library

Resources

Real-Time Analytics

9 min read | February 6, 2026

Building a Cost- Aware Data Platform at Petabyte Scale

6 min read | May 9, 2025

Amberdata's Architecture: Our Technical Foundations

4 min read | February 13, 2025

From 120 TB to 1.7 PB: The Engineering Challenges of Scaling Amberdata