Cryptoindex 100

The index operated through a multi-step filtering and ranking process driven by AI. Initially, Zorax analysed thousands of digital assets, excluding those with low liquidity, short trading history, or unreliable data. Assets that remained in the pool were then subjected to a deeper analysis incorporating price movements, trading volumes, social media sentiment, GitHub activity, and more. The neural network model continuously processed over a million signals per second to refine its rankings, selecting and weighting the top 100 cryptocurrencies accordingly.

To maintain its relevance, the index was rebalanced monthly. This ensured that new and promising assets could enter the selection while underperforming or problematic tokens were removed. Typically, around 22% of the index composition changed during each rebalance cycle. Unlike indices that rely solely on market capitalisation, Cryptoindex 100 used an AI-driven approach to provide a more comprehensive view of the market’s best-performing assets.

CIX100 was an Ethereum-based ERC-20 service token designed for use within the Cryptoindex platform. It served as:

• A payment method for accessing analytics, market insights, historical data, and reports on the platform. - A discount mechanism, providing a 50% reduction on platform services when payments were made using CIX100 tokens. - A trading asset, as it was listed on cryptocurrency exchanges and could be bought and sold. - An investment vehicle, as token holders had the option to offer their CIX100 tokens to an authorised investment fund, which was proposed to manage a portfolio of cryptocurrencies, including CIX100.

The token was not classified as a security or financial instrument but was marketed as a utility token facilitating transactions within the Cryptoindex ecosystem.

Cryptoindex 100 was developed by Cryptoindex Limited, a Malta-registered company. The team consisted of professionals with experience in finance, trading, AI, and blockchain technology. Key figures in the project included Vj Andrew Angelo as CEO, with a background in financial markets and index creation; Lawrence D’ Souza as Head of Analytics, specialising in trading and algorithmic modelling; and Sergey Shashev as Chief Technology Officer, bringing expertise in algorithmic trading and machine learning.

The team also included Lana Ivina, a senior mathematician with experience in quantum field theory and algorithmic modelling, and Caroline Matusso, who led marketing and communications. The advisory board featured individuals such as Austin Kimm, a corporate finance specialist; Dorothy McKinley Delahunt, a legal expert with a background in regulatory compliance; and Gabriel Zanko, a blockchain investor focused on AI and fintech solutions.