In answer to the changing educational landscape during a pandemic, PHBS UK campus rises to the challenge and is adopting a unique hybrid teaching structure. Our students both on campus and those having to stay in their home countries due to the pandemic, are able to attend live classes and seminars, as well as being able to engage with the lecturers and invited speakers.
The first hybrid seminar in the Academic Year (AY) 2021-22 kicked off with a guest speaker session led by the innovative British FinTech company Evai.io, who visited the UK Campus of Peking University HSBC Business school to give students a live demonstration of their unique platform and overview of its journey from research whitepaper to product launch.
With the strides that technology has made, the staff and students had the pleasure of having Matt Dixon, Evai.io, CEO and Founder joining the seminar via Zoom from Evai’s office in Dubai, while his colleagues Professor Andros Gregoriou and Nick Hamilton attended the session on campus.
Matt Dixon’s 30 years of industry experience bridges the worlds of traditional finance and cryptocurrency. Before founding Evai in 2019, Matt had designed and implemented Algo Trading funds that were regulated by the FCA. After studying his Finance & Investment MSc at the University of Brighton in 2018, and subsequently meeting Prof Andros Gregoriou, he co-founded Evai and has overseen its development and funding rounds which have raised over $5 million.
Providing a big picture overview of the $2 trillion cryptoasset market, Matt discussed the inspiration behind the development of the unbiased Evai ratings model. He gave a very enlightening overview of Evai and how the ratings platform can help investors avoid the pitfalls within the cryptosphere and empower them to identify valuable assets in the emerging marketplace.
Crucially, Matt pointed out that the 2008 financial crisis was caused by a failure of financial ratings – incorrect ratings and human bias resulted in a global economic crisis. As a result, Matt pointed out how AI and ML have evolved to remove human bias and emotional trading.
Launched in early 2020, the Evai.io platform is the world’s first decentralised and unbiased cryptoasset ratings platform powered by AI and machine learning. Built on peer-reviewed, academic and economic research it currently features over 1,000 cryptoasset ratings with 300 additional assets being added each month. Users of the platform are able to track the latest ratings on leading cryptos from Bitcoin and Ethereum to DeFi and NFT assets.
Industry Leading Research
During the webinar session Peking University visiting Professor, Andros Gregoriou, explained in detail how his own research has informed the design of the Evai multi-factor model and the ratings classifications. Evai ratings are awarded by unbiased AI and machine learning and designated on an alphabetical scale ranging from A1 to U. The Evai A1 rating (“A1”) denotes cryptoassets of the highest technical and quantitative characteristics.
Economic indicators used to evaluate cryptoassets include liquidity, sentiment, volatility, momentum, utility, behavioral bias, overextension, market risk and capitalisation. The overall global rating is an AI equally-weighted average of the indicators.
The intelligent Evai ratings evaluation method also harnesses machine learning to adjust the weights of the indicators to continually optimise the accuracy of the ratings to give every level of investor a clear and unbiased guide.
Live Demonstration
Moving from the theory to real-life application of the ratings, Nick Hamilton, Evai Communications Manager led a full demonstration of the Evai.io platform. Students were immersed in the platform user journey and given a demonstration of the functionality relating to the Evai ratings taking a deep dive look at charts relating to the performance of popular cryptoassets including Bitcoin, Ethereum and Solana.
Professor Andros Gregoriou, visiting Professor at Peking University and Chief Research Officer at Evai.io was on hand to provide his expert analysis and also fielded numerous questions from students at the end of the session. Students asked the Evai team many questions that ranged from the prediction of black swan events in the cryptosphere to the possibility of AI and ML taking over human input in investing and trading.
Latest Innovations
Students attending the Evai.io webinar session were also treated to some exclusive updates from the team relating to the launch of their app and EvaiFund. The pioneering AI and machine learning technology powering the Evai unbiased ratings is set to be deployed in a market leading cryptoasset fund. Fully automated, the EvaiFund will automatically close positions when assets drop in ratings, while opening positions with those ascending in ratings.
Evai Great Crypto Giveaway
Giving Peking University students, alumni and our social media followers the chance to start their cryptoasset investment journey, the Evai team have generously set up a unique promotion that is open to our UK and International student community.
During the whole of October, Evai are offering between $3 - $500 of EVAI Tokens to everyone who sets up a Trust Wallet and EVAI (BEP20) custom token.
We thank Evai for their ongoing support and £25,000 donation towards our research fund and sponsorship of a PhD Scholarship that will be used to carry out AI and machine learning based research. We look forward to welcoming them back for another seminar in November!
