Roadmap
The Zentris roadmap is divided into four phases, each focusing on specific core objectives to progressively advance platform functionality and ecosystem expansion. Below is an overview of each phase:
Phase 1: Solana Ecosystem Data Collection and In-depth Analysis
In this phase, Zentris will focus on in-depth data collection and processing of the Solana blockchain. Using data scraping technology and sentiment analysis models, key market information will be captured, including on-chain transactions, social media sentiment, community discussions, and market trends. Specific implementations include:
Comprehensive data collection and cleaning of Solana: Collect transaction records, smart contract calls, market price fluctuations, and more from Solana.
Social media sentiment analysis: Real-time capture of social data from platforms like Twitter, combined with market sentiment analysis to provide sentiment assessments and public opinion analysis.
AI-driven trend generation: Generate AI-powered market trend charts based on historical transaction data and social sentiment analysis, helping users better understand market movements.
Phase 2: Data Model Optimization and Ecosystem Expansion
After completing the Solana ecosystem analysis, we enter Phase 2, focusing on optimizing the data model and expanding support to other Web3 ecosystems, including:
Enhanced prediction accuracy: Improve the model's ability to respond to market volatility and on-chain behaviors by optimizing the LLaMa fine-tuning model.
Multi-chain support: Extend support to major ecosystems like Ethereum, Base,Hyperliquid, Binance Smart Chain, and more, including sentiment analysis and trend predictions for different tokens.
Cross-chain data integration: Integrate on-chain and social data from different ecosystems, building a unified data analysis framework to enhance cross-chain analysis capabilities.
Phase 3: Comprehensive Upgrade of the Intelligent Decision System
As data expands and models continue to optimize, Zentris will evolve into a comprehensive intelligent decision support system, with core features including:
Personalized Recommendations: Provide customized token recommendations and investment advice based on user preferences and historical behavior, helping users select the most suitable investment projects.
Market Risk Assessment: Provide real-time market risk alerts by integrating on-chain data, social sentiment, and market trends.
AI-driven trend chart analysis: Combine deep learning and time-series analysis to offer accurate market trend predictions, helping users identify potential opportunities and risks.
Phase 4: Global Expansion and Platform Enhancement
After gradually improving the basic functions and data ecosystem, Zentris will open to global users and further expand support for Web3 ecosystems, with specific goals including:
Global data support: Expand the platform globally, supporting token data analysis in different regions and languages, helping users make more accurate decisions.
Community and ecosystem development: Improve platform functionality through open-source and community collaboration, encouraging global developers and analysts to contribute data and algorithms, making Zentris a core tool in the Web3 ecosystem.
Cross-chain intelligent analysis engine: Build Zentris into a cross-chain, cross-platform intelligent analysis engine, helping users make intelligent decisions across different platforms.
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