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

The Rhythm of Liquidity: Temporal Patterns in Market Depth

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, 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.

Decentralized Exchanges (DEXs): A Quick but Advanced Guide for Institutional Traders

Understanding decentralized exchanges (DEXs) is crucial for institutional traders interested in accessing emerging digital asset alpha generation opportunities. By understanding how DEXs operate, traders can identify nascent markets — which often hit DEXs before centralized exchanges, and capitalize on them early. If they know how to leverage DEX data, like liquidity pool ratios, they are also better prepared to assess and manage risks associated with cryptocurrencies.

The Architecture of Market Depth: How Liquidity Really Works in Crypto Markets

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, captured via Amberdata's institutional metrics. The dataset tracks market depth at 5, 10, 25, 50, and 100 basis points from mid-price, revealing how liquidity accumulates non-linearly and how bid-ask imbalances distribute across price levels. This research quantifies the structural patterns of electronic market depth to inform institutional execution strategies.

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