PR: AI – Based Bibox Digital Asset Exchange Platform Hits 50,000 Active Users per Day in Five Months

AI - Based Bibox Digital Asset Exchange Platform Hits 50,000 Active Users per Day

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Tallinn, Estonia, April 19, 2018 – Having attracted half a million traders in just five months with an average of 50,000 active users per day, AI-based digital asset exchange platform Bibox today announced average per day trades of US$100 million.

With a super-secure trading platform that applies the latest in big data analytics and AI technology to detect trading anomalies that pose risks in real-time, Bibox has seen a user growth rate of more than 300% per month. Bibox provides functions for professional traders that include Planned, Conditional, Iceberg, TWAP, Stop Loss/Gain orders.

Underpinned by blockchain and proprietary algorithms, Bibox’s supports more than 35 tokens and 112 trading pairs, including Bitcoin, Ethereum and Tether, with AI selecting listings for new tokens on Bibox Digital Exchange Platform based on merit. Bibox adopts and end-to-end approach to AI-based security that includes monitoring functions and alerts for suspicious activity.

Given its transparency and security credentials, CEO Jeffrey Lei wants to extend secure trading beyond crypto geeks, and develop a platform that is accessible to everyone, “Eventually users with different risk tolerance capabilities will have different access to trading services and fees according to their identity.”

At present, Bibox can handle more than 10 million users at the same time and 1 million transactions per second.

For more information please visit official website Bibox, subscribe to Bibox official accounts in Twitter; Reddit; and Medium.

Contact Email Address
media_release@bibox365.com
Supporting Link
https://www.bibox.com/

This is a paid press release. Readers should do their own due diligence before taking any actions related to the promoted company or any of its affiliates or services. Bitcoin.com is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in the press release.

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