Our approach

Digital Asset Research is a truly independent provider of high-quality data. Because we are not affiliated with any digital currency or trading platform, we are able to take a critical and wholistic view of the marketplace, providing transparency and greater understanding. In a market that is overrun with quantity over quality, we provide institutional rigor through an objective process that produces clean pricing data and insightful analysis.
DAR provides clean pricing data, comprehensive vetting of assets and exchanges, and in-depth analysis on technology, security, investment suitability and other insights needed to make informed investment decisions.
We are committed to providing comprehensive, penetrating and insightful subject matter expertise in a dynamic marketplace.


DAR provides clean pricing data on over 100 major digital assets.

The foundation of DAR’s data products is the quality and stability of its data set. DAR has developed a comprehensive vetting methodology that identifies and engages with exchanges the meet institutional diligence standards among the hundreds of exchanges currently flooding the market. DAR then analyzes the data for anomalies, outliers, duplications or other indications of manipulation, and calculates both intraday and close prices customized by geography, liquidity, trading pairs, or calculation methodology based on each client’s needs. 

research process

DAR’s Research Team publishes timely and in-depth analysis of tokens and blockchain-related assets, initial coin offerings (ICOs), platforms, related market and regulatory developments, and other investment drivers. Our exhaustive research process consists of four key elements:

Collect – Monitor a comprehensive array of information sources, including issuer news, communities (e.g. Reddit, GitHub, and Slack), industry events, and a network of subject matter experts. ​

Confirm – Conduct 360° diligence on each token, including white papers, code, team, use-case, network, community and cybersecurity.

Analyze – Provide quantitative and qualitative evaluation of the token, network effects, risk factors, likelihood of security classification and a backtest against historic problems to assess investability. ​

Review – Regularly update research reports to ensure they remain relevant based on changing market conditions and token maturity.