TipRanks To Launch Cryptocurrency Data and Analytics Platform in Q2‎

TipRanks, a US-based financial analyst ranking service, has expanded its offering into the cryptocurrency space with the launch of CoinWatch, which provides investors with historical data and real-time analytics on 1,000+ different virtual coins.

CoinWatch operates as an advanced data aggregation and AI analytics platform for cryptocurrencies, providing the investors community with a complete view of the market. The new tool enables users to make sense of the crypto landscape through a diverse range of comprehensive functions.

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The list of key features includes a cryptocurrency exchange converter, alerts, advanced analysis, investment ideas, pricing data, heat maps, social media analytics, sentiment analytics, portfolios performance trackers, and other tools that cover almost all cryptocurrencies.

CoinWatch, which will be rolled out in early Q2, is based on a wide set of advanced natural language processing (NLP) and machine learning tools developed by TipRanks.

The toolkit is also calculating the number of mentions and analyzes millions of news articles on cryptocurrencies in social media to find surges in interest, as well as deliver historical comparisons and analytics.

TipRanks has carved out a niche as a provider of aggregated big financial data – such information is extremely important to a growing base of traders in the US and abroad.

The company has been aggressively expanding the market footprint of its Stock Analysis Tool-Kit, as part of an ongoing effort to provide new research and analysis capabilities to venues. Earlier last year, Nasdaq and Santander both assimilated the service into their respective offerings, giving TipRanks access to its largest client base to date.

Commenting on the new product, Uri Gruenbaum, CEO and Co-founder of TipRanks, said: “out of the hundreds of web-sites around cryptocurrencies, only a few actually provide meaningful and actionable data. We’ve applied our proven technology and expertise in natural language processing and machine learning to create proprietary datasets, aimed at helping investors make better decisions. We saw the confusion and uncertainty of investors in the cryptocurrencies world and decided that a new technological tool is required to make this world more transparent.”