Problem Statement
In bull markets, crypto asset holders often miss significant opportunities for active trading profits by focusing solely on passive yield strategies. Manual trading is emotionally taxing, requires constant market monitoring, and demands technical analysis skills many users lack. Additionally, traders struggle to maintain consistent strategies, often shifting approaches based on emotion rather than data, leading to suboptimal results.
Solution Overview
LazaiTrader is an intelligent multi-agent trading system accessible through Telegram that allows users to select specialized AI trading personas, each with distinct strategies and risk profiles. The system continuously analyzes market conditions and either generates actionable buy/sell signals or automatically executes trades across major DEXs based on user preference. Built on the same robust Alith framework infrastructure, LazaiTrader adapts to market conditions while maintaining the user’s selected trading philosophy, effectively bringing institutional-grade trading strategies to retail users through a familiar messaging interface.
Project Description
LazaiTrader transforms crypto trading by allowing users to select from various AI trading personas, each representing different trading philosophies and strategies. Whether you prefer momentum trading, swing trading, technical analysis, or contrarian approaches, LazaiTrader provides a suite of specialized AI agents to match your preferred style.
Core features include the “Persona Selection” system allowing users to choose trading philosophies that match their temperament, “Strategy Visualization” showing potential entry/exit points before execution, and “Dual-Mode Operation” offering either signal-only notifications or fully automated trade execution. The system leverages Model Context Protocol (MCP) technology and the Alith framework to maintain coherent understanding across interactions, remembering user preferences, portfolio composition, and past decisions.
The platform is designed to integrate with major DEXs like Uniswap v3 and can adapt to available liquidity sources. Our algorithms move beyond traditional indicators like moving averages which might not be as reliable in volatile crypto markets. Instead, we use momentum-based strategies that capitalize on emerging trends before they become obvious, volatility-adaptive approaches that dynamically adjust position sizes based on market conditions, and liquidity flow analysis to identify smart money movements before price reacts.
Users can select specific asset-focused strategies including Blue Chip Trader (focusing on BTC, ETH, METIS and other established cryptocurrencies) or Micro Cap Trader for those seeking higher-risk, higher-reward opportunities in emerging tokens. Each persona combines these strategy elements differently based on their trading philosophy.
Users interact with the system through a natural, conversational interface that explains complex trading strategies in accessible terms tailored to each user’s demonstrated technical understanding. What makes LazaiTrader particularly valuable is its recognition that bull markets favor active trading strategies rather than passive yield farming approaches, allowing users to capitalize on market momentum through their preferred trading style. The system even suggests transitioning to yield strategies when market indicators suggest bearish conditions ahead, providing a complete crypto asset management solution.
Community Engagement Features
- Persona Selection (50 points): Users select their first trading persona and complete the initial risk assessment. No wallet connection required at this stage.
- First Trading Signal (100 points): Users receive their first trading signal through the platform. All signals are recorded server-side for performance tracking even without wallet connection.
- Wallet Connection (75 points): Users connect their wallet for additional features and functionality.
- Risk Adjustment (50 points): Users modify their risk parameters and observe how their trading persona adapts.
- Referral Program (25 points per referral): Users earn points by inviting others, with bonus points when referred users complete their first trade.
- Trading Performance Achievements (variable points): Users unlock badges and points when their strategies reach specific ROI thresholds.
This gamification approach creates clear milestones for users while educating them about different trading methodologies. The points system rewards actions that benefit both the user and the platform ecosystem.
Getting Involved
Interested community members can join our project by:
- Joining our Telegram channel at Telegram: View @gmetisio
- Following our development updates on Twitter/X @gMetisL2 / @smartonstuff
- Contributing to our open-source components on Gmetisl2 (gMetis) · GitHub
And SmartOnStuff (Mart) · GitHub - Participating in our upcoming beta testing program by signing up at LazaiTrader.gmetis.io (website launching later)
- Reaching out directly to our team via [email protected] for partnership opportunities or technical collaboration
- Joining our open dev sessions (dates to be announced) where we’ll troubleshoot implementation challenges together
