⚙️Data Sources

The backbone of our AI-driven ETFs lies in the sophisticated analysis and interpretation of vast amounts of data from the cryptocurrency markets and related social ecosystems. Our AI models are trained and continuously updated using a variety of data sources, ensuring they can accurately identify trends, assess project potential, and adapt to the dynamic nature of the markets. Most of the data feeding into our AI models is extracted through official APIs, ensuring reliability, timeliness, and accuracy. Below is an overview of the key data sources utilized in training our AI models.

Social Media Engagement

The cryptocurrency market is as much about technology and finance as it is about community sentiment and social momentum. To gauge the market sentiment and the popularity of various projects, our AI models analyze data from:

• Twitter: We look at cashtags, post engagements, and ratios to understand the buzz around specific projects and the broader market sentiment. Twitter serves as a primary platform for project announcements, community interactions, and influencer opinions, making it a treasure trove of insights.

• Telegram: Many crypto projects and their communities communicate and organize through Telegram. Our AI analyzes engagement levels, community growth, and the sentiment within these groups to assess project health and potential.

• Socialblade

Price Action and Market Data

Understanding market trends and the price action of tokens is crucial. Our AI leverages data from:

• Dexscreener: A comprehensive tool for analyzing decentralized exchange (DEX) markets, offering real-time data on token prices, liquidity, and trading volumes. This helps our AI to understand market dynamics and liquidity of assets within our ETFs.

• Coingecko: As one of the leading cryptocurrency data aggregators, Coingecko provides detailed information on prices, market cap, volume, and historical data. This broad spectrum of market data feeds into our models and enables a comprehensive analysis of asset performance and trends.

Onchain Activity

• Blockchain Explorers: These platforms allow our AI to scrutinize transaction volumes, wallet addresses, token distributions, and other on-chain metrics that indicate the strength and activity level of a project.

• Debank: Specializing in DeFi projects, Debank offers data on user counts, total value locked (TVL), and various other metrics that are crucial for evaluating the potential and performance of DeFi-focused assets within our ETFs.