> For the complete documentation index, see [llms.txt](https://maiga.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://maiga.gitbook.io/docs/maiga-tech/roadmap.md).

# 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.

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### 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.

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### 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.

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### 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.

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### 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.