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

Resources

Corporate Blog

How Data Analytics Is Transforming Institutional Trading Desks

In cryptocurrency, data analytics involves examining patterns or trends that can help inform decision-making. Data analytics enables traders to optimize their strategies and execution, gaining a competitive edge. Artificial intelligence (AI) and machine learning (ML) aim to take analytics even further. Traders build and run bots that automatically assess data and make trading decisions. High frequency and automated trading can increase the speed of transactions, which is especially valuable when it comes to crypto, as markets are extremely volatile.

Amberdata Digital Asset Snapshot: Sui Blockchain Recovery, Tokenized Stocks, & Bitcoin Volatility

It’s been a landmark week in crypto. Trump now backs Bitcoin, Kraken launched tokenized stocks, and the Ethereum-based Risk Harbor DAO voted to reverse a $160M exploit — a first-of-its-kind move. Meanwhile, whale moves and new ETFs pushed Bitcoin above $110K. Learn more in this week's snapshot:

Amberdata Derivatives Newsletter: Circle IPO, Fed Signals, & Trade Setups

From a surprise NFP beat to Circle’s explosive IPO and Coinbase’s Deribit acquisition, macro and crypto markets delivered key signals last week. With inflation data ahead and ETF catalysts on the horizon, institutional momentum is building. Read the Amberdata Derivatives newsletter for the full breakdown, trade setups, and charts.

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