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

Resources

Corporate Blog

Beyond the Spread: Understanding Market Impact and Execution

Researcher's Note: This analysis examines 50,526 minutes of orderbook data from Binance's BTC/FDUSD market between July 1 and August 12, 2025, focusing on execution dynamics for orders from $1 million to $15 million. The dataset reveals correlations between depth, quality scores, and market impact, while testing whether imbalances predict price movements. This research provides quantitative frameworks for large order execution in modern electronic markets.

Amberdata Launches Institutional Stablecoin Analytics

Amberdata is thrilled to announce the launch of our Stablecoin Analytics features through our scalable, production-ready data infrastructure.

Arkham Exchange Data Is Now Live on Amberdata

Amberdata is pleased to announce that Arkham Exchange spot and futures data is now fully integrated and live within our institutional data infrastructure and on Amberdata Derivatives, our free options intelligence platform.

Amberdata Resources

Corporate Blog

Resource Library

Trust Center

AD Derivatives Blog

Engineering Blog

The Rhythm of Liquidity - Temporal Patterns in Market Depth [Report]

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This analysis examines 50,526 minutes of orderbook data from Binance’s BTC/FDUSD market between July 1 and August 12, 2025, with Bitcoin trading between $105,394 and $123,386. The dataset captures temporal patterns across 24-hour cycles and weekly rhythms, revealing when liquidity concentrates and disperses. This research identifies predictable time-based patterns that enable traders to optimize execution timing and reduce market impact.

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Rhythm in Market Depth

The Rhythm of Liquidity - Temporal Patterns in Market Depth [Report]

Download the Report