Roadmap

This document outlines the development roadmap for Equilink, focusing on our proprietary AI models and platform development across multiple phases.

Current Version (1.0.0)

Foundation

• Core platform architecture

• Basic blockchain integration (ETH, Solana)

• Initial AI model training pipeline

• Base market analysis capabilities

AI Models - Generation 1

• EquiPredict: Market prediction model

  • Price movement prediction

  • Volume analysis

  • Basic pattern recognition

• EquiSent: Sentiment analysis model

  • Social media sentiment processing

  • News impact analysis

  • Basic market sentiment correlation

Phase 1: Enhanced AI Architecture (Q2 2024)

AI Model Development

• EquiCore: Advanced reasoning model

  • Multi-chain data processing

  • Complex pattern recognition

  • Strategic decision making

  • Real-time adaptation capabilities

Model Training Infrastructure

• Distributed training pipeline

• Enhanced data collection systems

• Model validation framework

• Performance benchmarking system

Timeline

• April 2024: EquiCore alpha release

• May 2024: Training infrastructure

• June 2024: Beta testing and optimization

Phase 2: Specialized Models (Q3 2024)

New Model Development

• EquiTrade: Advanced trading model

  • Multi-token correlation analysis

  • Market impact prediction

  • Slippage optimization

  • Risk-adjusted position sizing

• EquiRisk: Risk assessment model

  • Protocol risk analysis

  • Smart contract vulnerability detection

  • Market manipulation detection

  • Systemic risk assessment

Integration & Optimization

• Model interaction framework

• Real-time model switching

• Resource optimization

• Performance monitoring

Timeline

• July 2024: EquiTrade launch

• August 2024: EquiRisk deployment

• September 2024: Integration completion

Phase 3: Advanced AI Systems (Q4 2024)

AI Model Evolution

• EquiStrategy: Portfolio strategy model

  • Dynamic strategy generation

  • Market regime detection

  • Multi-timeframe optimization

  • Adaptive position management

• EquiSocial: Enhanced social intelligence

  • Deep sentiment understanding

  • Trend prediction

  • Community behavior analysis

  • Influence mapping

System Improvements

• Advanced model orchestration

• Real-time learning capabilities

• Enhanced decision validation

• Performance optimization

Timeline

• October 2024: EquiStrategy release

• November 2024: EquiSocial launch

• December 2024: System integration

Phase 4: AI Ecosystem Expansion (Q1 2025)

New Model Development

• EquiMacro: Macro analysis model

  • Global economic impact analysis

  • Cross-market correlation

  • Regulatory impact prediction

  • Economic indicator processing

• EquiOptimize: System optimization model

  • Gas optimization

  • Route optimization

  • Execution timing optimization

  • Resource allocation

Framework Enhancement

• Model marketplace development

• Custom model training tools

• Advanced analytics dashboard

• Performance monitoring suite

Timeline

• January 2025: EquiMacro deployment

• February 2025: EquiOptimize launch

• March 2025: Ecosystem completion

Future Development (Beyond Q1 2025)

Planned Features

• Quantum-resistant model architecture

• Zero-knowledge proof integration

• Cross-chain AI optimization

• Decentralized model training

Research Areas

• Advanced probabilistic models

• Reinforcement learning in DeFi

• Causal inference in market analysis

• Privacy-preserving AI techniques

Technical Goals

AI Performance

• Sub-second inference time

• 99.9% model availability

• <1% error rate in predictions

• Real-time model updates

System Scalability

• Support for 100+ chains

• 1000+ TPS processing

• Global model distribution

• Instant model switching

Security

• Quantum-resistant algorithms

• Multi-layer validation

• Advanced threat detection

• Real-time risk assessment

Community Integration

Developer Tools

• Model development SDK

• Custom training pipelines

• Integration frameworks

• Testing environments

Documentation

• Comprehensive API docs

• Model architecture guides

• Integration tutorials

• Best practices

Milestones and KPIs

Technical Metrics

• Model accuracy rates

• Response time improvements

• System uptime

• Resource efficiency

Business Metrics

• User adoption rates

• Transaction volume

• Portfolio performance

• Community growth