Cryptoracle User Guide

Cryptoracle User Guide

Cryptoracle Introduction Cryptoracle: Private Domain Data Assetization — Transforming Private Data from “Fragmented Information” into “Actionable, Predictive Decision Assets” (of data, by data, for data). Cryptoracle breaks through the limitations of traditional financial databases, such as relational databases and market data terminals, by focusing on converting non-standardized content from private crypto social channels into quantifiable, aggregable, and model-ready data assets. These assets empower use cases including market surveillance, strategy development, and on-chain/off-chain sentiment analytics. For a detailed overview, please refer to the document “Cryptoracle Product Framework.” Core Functions: Centered on the private-domain ecosystem of the crypto asset space, Cryptoracle leverages large language models (LLMs) for semantic parsing to deconstruct non-standardized content from Discord, Telegram, KOL private channels, and niche communities. The output is a multi-dimensional structured data system encompassing user identity labels, semantic sentiment orientation, event correlation mapping, and information propagation patterns. Utilizing semantic understanding, NLP-based parsing, and a dynamic tagging engine, Cryptoracle transforms fragmented chat records into quantifiable on-chain/off-chain metrics. Through entity correlation algorithms, the system aggregates noisy, redundant information into traceable relationship networks. Via time-series data modeling, highly dynamic real-time content is transformed into reusable data assets.

Cryptoracle Data Processing Process

Cryptoracle collects original data from multiple platforms including Discord, Telegram, private channels of KOLs, and niche communities. First, it organizes the data through data desensitization, data cleaning, metadata management, and structured storage in the data governance process. Next, it leverages large model technology for semantic recognition, sentiment analysis, intent recognition, and event recognition, enabling deep data mining and analysis. This process then leads to the creation of data assets, establishing a CO indicator library and CO tag library. Cryptoracle provides solutions with various analytical dimensions and different update frequencies, and supports multiple delivery methods to meet users' personalized and flexible analytical needs.

Cryptoracle Product

1. Cryptoracle Indicators

Cryptoracle Indicators — Derived from private-domain data, Cryptoracle indicators undergo data cleansing, semantic mining, and structured transformation to form continuous, quantifiable, and interpretable social indicators. These indicators capture key phenomena in the crypto ecosystem such as community engagement intensity, sentiment dynamics, KOL influence, and event correlations. For more details, please refer to the document “Cryptoracle Indicators.” Cryptoracle Indicator Application Scenarios: - Supporting the construction of quantitative factors - Identifying potential stocks - Amplifying trading signals - Event warning - Academic research

2. Cryptoracle Tagging System

The Cryptoracle Tagging System standardizes and annotates the core entities, behavioral features, and content attributes found within private-domain data. Through a hybrid approach combining manual definition and AI-powered auto-labeling, it structures and interlinks four key entity types — users, tokens, communities, and events — providing the foundational classification layer that supports indicator computation and data filtering. For more details, please refer to the document “Cryptoracle Tagging System.” Core Values of the Tagging System: Data Structuring: Converts unstructured community messages and user interactions into labeled data, enabling efficient querying and analysis. Indicator Integration: Provides categorical foundations for indicator computation (e.g., the “KOL Mention Frequency” indicator relies on filtering by the “User Role – Top KOL” tag). Precision Filtering: Supports multi-tag cross-filtering (e.g., “Token: BTC + User: Top KOL + Event: Bullish”), allowing for rapid and accurate data targeting.