Bitcurate Short-listed by Standard Chartered Ventures Fintech Bridge Challenge
March 12, 2020

We are very excited to share some recent achievements for Bitcurate. The company has been short-listed for a project initiated by Standard Chartered Ventures Fintech Bridge. The challenge is to build a predictive model to estimate the daily T0 risk-based hypothetical P&L for Standard Chartered bank Financial Markets Product Control & Market Risk teams.

SC Ventures, the innovation, ventures and fintech investments unit of Standard Chartered Bank, has created a market-first platform to connect community builders such as start-ups, investors and accelerators to the Bank.

SC Ventures Fintech Bridge connects and matches partners from the fintech ecosystem to the Bank’s internal community, where they can propose solutions to challenges posted by the Bank’s business units or request for investments. Investors can also use the portal to recommend start-ups to the Bank for future collaborations. This simple and fast process means that start-ups can move from initial application to final selection within just three months.

About Bitcurate

Bitcurate is predictive data analytics for cryptocurrency that help better decision-making through data-driven insights powered by AI and sentiment analysis. Bitcurate aims to bring transparency to the cryptocurrency industry. It helps investors, traders, and the fund managers make better decisions and is building models, algorithms and data science tools that brings data-driven decision making to their investments. Bitcurate is dedicated to enable more market participants to access to the future of money and decentralize finance.

We are also here to announce that Bitcurate’s token BTCR is officially listed by from Singapore time 13:00, February 13, 2020.  Currently, we are preparing to be listed in other exchanges in the coming weeks. Stay tuned.


  • We believe that big decisions need to be guided by unbiased, proven and reliable insights. Our team of technologists, data scientists, and quant finance uses machine intelligence

  • Data science model to breakdown complex and asymmetrical information globally, removing noise and generating alpha giving you that unfair advantage, today