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

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

Solutions

Developers

Order Pricing Research Library

Resources

Corporate Blog

Amberdata Derivatives Podcast: Euan Sinclair on Edge, Risk, Psychology

In this episode of the Amberdata Derivatives Podcast, Greg Magadini sits down with Euan Sinclair to break down what really drives trading success beyond models and market noise. From defining true edge and persistent risk premia to avoiding overfitting and psychological traps, the conversation offers practical insights grounded in real market experience. Click through to explore how robustness, preparation, and human behavior shape profitable trading.

Advanced Onchain Analytics for Crypto Trading: Uncovering Hidden Market Signals

Early metrics like HODL waves are no longer sufficient for evaluating market health. As the market structure matures and institutional participation deepens, the edge has shifted. Today, alpha generation requires graduating from passive observation to granular data analysis. By combining wallet behaviors, smart contract events, and market data, sophisticated traders can construct proprietary crypto trading signals that front-run narratives rather than reacting to them.

The November CPI Print Is Probably Fiction, And Crypto Traders Should Care

This morning, the Bureau of Labor Statistics released November's Consumer Price Index, showing headline inflation at 2.7% year-over-year and core CPI at 2.6%, the lowest readings since March 2021. Markets rallied. Algorithms bought the beat. Risk assets caught a bid. There's just one problem: almost nobody believes the numbers are real.

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