Roadmap
Overview
This Maiga roadmap outlines the development timeline for the AI-driven trading signal platform, bonding curve-based AI agent launchpad, Proof of Trading (PoT) token, and gamification features. The focus is on iterative development, token launch execution, and long-term scalability to ensure a sustainable ecosystem.
Phase 1: Foundation, MVP Development & PoT Token Launch Prep (Q1-Q2 2025)
Phase 1.1: AI Signal MVP & Initial Community Testing
✅ Goal: Develop and launch the AI signal system with Telegram bot integration.
Set up backend infrastructure, APIs for market data aggregation (Binance, TradingView, DEX Screener, etc.).
Implement basic AI signal generation (5-min, 1-hour signals), confidence scoring.
Build and deploy the AI signal bot on Telegram for closed beta users.
Integrate data annotation (user voting on signal accuracy).
Collect feedback and refine AI signal accuracy.
Phase 1.2: PoT Token Launch Preparation
✅ Goal: Finalize tokenomics, audits, and partnerships for $MAIGA PoT token launch.
Tokenomics finalization (supply distribution, incentives, trading fee mechanics).
Smart contract audits and security testing.
Strategic partnerships for liquidity and exchange listings.
Marketing and awareness campaign for PoT token.
Phase 1.3: PoT Token Public Launch
✅ Goal: Successfully launch $MAIGA token and establish initial liquidity.
Listing on major CEX/DEX platforms.
Users must own $MAIGA to launch or trade AI agents.
Liquidity injection into bonding curve mechanics.
Reward early adopters via airdrops and trading incentives.
Phase 2: AI Agent Trading Expansion & Gamification (Q3-Q4 2025)
Phase 2.1: Bonding Curve Smart Contract & AI Agent Marketplace MVP
✅ Goal: Implement bonding curve mechanics for AI agent launchpad.
Develop smart contracts for AI agent launch using a bonding curve model.
Internal testing of bonding curve pricing mechanism.
AI agent token marketplace prototype (users can list, buy, and sell AI agents).
Phase 2.2: AI Agent Trading Platform Deployment
✅ Goal: Enable decentralized AI agent trading and improve user experience.
Deploy bonding curve launchpad for AI agents.
Launch AI agent token trading on-chain (based on bonding curve mechanics).
Implement leaderboard for most-traded AI agents.
Introduce dynamic agent fee models (AI agent owners can set trading fees).
Phase 2.3: Gamification & Community Scaling
✅ Goal: Increase engagement with viral mechanics.
Point and rewards system integration (users earn XP for engaging with AI signals and launching AI agents).
Referral incentives for AI agent trading.
Enable social sharing for AI signal performance.
AI Agent trading competitions with token rewards.
Phase 3: Ecosystem Growth & Institutional Partnerships (Q1-Q2 2026)
Phase 3.1: Full AI Agent Marketplace & Trading Volume Growth
✅ Goal: Scale AI agent marketplace activity.
Enable cross-platform AI agent listing (multi-chain compatibility).
Optimize bonding curve mechanics based on market feedback.
Implement buyback & fee-burning mechanisms for long-term sustainability.
Onboard market makers to support liquidity growth.
Phase 3.2: Institutional & Enterprise Expansion
✅ Goal: Expand beyond retail traders and secure larger liquidity providers.
Explore AI signal integration for hedge funds & trading firms.
Institutional onboarding for AI agent-backed trading.
Form global partnerships with AI and crypto ecosystems.
Phase 4: AI Evolution & Mass Adoption (Q3-Q4 2026)
Phase 4.1: AI Evolution & Model Enhancement
✅ Goal: Improve AI model capabilities with live market trading.
AI agents adapt to user data & trading behavior.
AI-backed hedge fund concept for advanced trading strategies.
AI agent liquidity pool for managed investments.
Phase 4.2: Global Expansion & Regulatory Compliance
✅ Goal: Establish a strong regulatory and business framework for AI agent trading.
Legal framework for AI trading compliance.
Expansion into multiple jurisdictions.
Regulatory-friendly AI trading models for institutional adoption.
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