Use Cases

Front Office

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

Mid Office

Risk
Confidently model crypto exposures and risk

Treasury
Effectively mitigate digital asset class volatility

Back Office

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

Get Amberdata Derivatives Analytics FREE!

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

Solutions

Developers

Order Pricing Research Library

Resources

Corporate Blog

Crypto Portfolio Optimization: Balancing Risk and Return in a Dynamic Market

For institutional managers, applying traditional modern portfolio theory for crypto often proves inadequate. Traditional models assume normal distribution curves, but digital assets are leptokurtic, characterized by fat tails and extreme skewness. This unique volatility dictates adopting a more sophisticated, data-driven approach for crypto portfolio optimization. Success lies in looking beyond volatility as a proxy for risk and adopting a quantitative framework that accounts for the unique market structure of digital assets.

The Carry Trade That Broke: How Basis Compression Triggered the Cascade

This is Section 5, excerpted from our Amberdata Crypto Market Review 2025 and 2026 Outlook: Six Regimes, One Story. Our full report spans 14 sections - ETF flows, derivatives, on-chain, liquidity, and our complete 2026 outlook. Institutional yield-seeking drove 2025's leverage build - until it didn't

Amberdata Derivatives Newsletter: Bitcoin Options Signal Elevated Macro Volatility Risk

Macro volatility is rising as geopolitical tensions, oil price uncertainty, and weaker labor data shake global markets. In crypto, options markets are pricing elevated downside risk while Bitcoin continues to trade in a tight range. This week’s derivatives data reveals how traders are positioning and where volatility may be mispriced.

Amberdata Resources