Ai Scoring Models

Real - Time Scoring Models

Our platform offers sophisticated predictions and evaluations for crypto projects, leveraging four key data resources: on-chain data, social data, financial data, and project development data. Our advanced 3 layers scoring system and predictive models provide invaluable insights into the crypto market.

Three layers Scoring System

1. Crypto Market Cap Scoring

We start by evaluating the overall market capitalization trends in the cryptocurrency space. This layer assesses the total value of the crypto market, incorporating macro-level data such as market sentiment, trading volumes, and broader economic indicators. This foundational score provides a context for understanding the potential and stability of the market as a whole.

2. Category-Based Scoring

Each crypto project is then categorized into types such as meme, layer 1, layer 2, DeFi, dApps, GameFi, and more. Within each category, we evaluate the project's potential by comparing it to others in the same category. This involves assessing the strength and market position of the category itself.

3. Project-Specific Scoring

Within each category, projects are further assessed based on individual attributes like technology, team, innovation, and market position. These factors are scored to determine the project’s overall strength and potential for success.

ProjectScore Calculation

Combining these three layers of scoring—Crypto Market Cap, Category-Based, and Project-Specific—we derive a comprehensive ProjectScore for each project. This multi-layered approach ensures a nuanced and thorough evaluation.

Predictions Based on Four Data Resources

Our platform provides three key outputs, utilizing data from four critical sources: on-chain data, social data, financial data, and project development data.

1. Overall Crypto Market Cap

We analyze macro-level data to predict the overall market capitalization trends in the cryptocurrency space. This includes market sentiment, trading volumes, and broader economic indicators, helping investors understand the general market direction and the total value of the crypto market.

2. Smart Money Moving Inside Crypto Categories

By tracking on-chain transactions and financial data, we identify and predict the movements of smart money within different categories of cryptocurrencies. This insight reveals which categories are gaining or losing interest from major investors, providing crucial information on where the smart money is flowing.

3. Project Valuation in Existing Categories

Using a combination of our three-layer scoring system and multi-source data, we evaluate the valuation of individual projects within their respective categories. This involves assessing each project’s potential based on its performance, development activity, community engagement, and market position within its category.