Technical Roadmap
Conception & Vision
Q1 2024: Liquid AI was born with a clear mission: to bring transparent, decentralized algorithmic market-making and data-driven trading strategies to DeFi markets.
Phase 1: Foundational Development
Q2 2024: Backend development started to build Liquid AI’s proprietary backtesting engine & infrastructure.
Q3 2024: Initiated development of advanced trading engine, simulation environments, & AI/ML-powered trading algorithms.
Phase 2: High-Performance Data Architecture
Evolved through four key versions to support our data-driven trading engine:
V1: Direct API Dependence (Complete)
Basic API-based data ingestion, limited by scalability and DEX support.
V2: Offline Parquet Files (Complete)
Local, fast-access historical data reads, enabling rapid backtests & overnight scenario sweeps.
V3: Incremental Live Data Updates (Complete)
A hybrid model combining live API data with in-memory data storage for real-time relevance.
V4: Advanced Analytics & ML (In Progress)
Full ML integration for adaptive, scenario-based trading & transparent, data-driven strategy validation.
Phase 3: Strategy Validation
Q1 2025: Achieved first profitable backtests, validating core trading strategies & setting the stage for live deployment.
Phase 4: Alpha Testing & Secure Infrastructure
Q2 2025
Alpha testing launched to ensure robust trade execution and intuitive user experience.
Integration of Turnkey infrastructure for secure non-custodial private key handling.
Enhanced dashboards for transparent performance tracking & real-time analytics.
Phase 5: Market Launch & Growth
Q3 2025:
Beta release of the Liquid AI platform for broader user access, including live trading & comprehensive strategy dashboards.
Token launch to power platform features and incentivize liquidity and participation.
Launch of the dual-revenue staking platform, enabling stakers to earn from both platform trading activity and user engagement.
Q4 2025:
Official launch of the Liquid AI PAMM-style fund. Pooled, fully on-chain market-making strategies with transparent, pro-rata P&L allocation.
Paper trading environment for risk-free strategy testing and training.
Expansion of advanced AI/ML capabilities to continuously adapt to evolving market conditions.
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