Flows

Flows orchestrate how HeatMap's agents work together to analyze and trade meme coins. They define the sequence of operations from initial research to trade execution.

Core Flows

Research Flow

async def research_flow(token_address: str):
    """
    Comprehensive token analysis flow:
    - Token fundamentals
    - Social sentiment
    - Market metrics
    - Trading signals
    """

Trading Flow

async def trading_flow(
    token_address: str,
    strategy: TradingStrategy,
):
    """
    Automated trading workflow:
    - Signal validation
    - Risk assessment
    - Order execution
    - Position monitoring
    """

Alert Flow

async def alert_flow(
    signal: Signal,
    channels: List[NotificationChannel],
):
    """
    Notification distribution:
    - Signal processing
    - Alert formatting
    - Channel routing
    - Delivery confirmation
    """

Flow Components

Each flow integrates:

Data Collection: Real-time market and social data
Analysis: Multi-agent evaluation and scoring
Decision Making: Signal generation and validation
Execution: Trading and notification actions

Best Practices

When configuring flows:

Test with small positions first
Monitor agent interactions
Validate signal quality
Track performance metrics
Maintain audit logs

Next Steps

Configure Trading Strategies
Setup Notifications
Learn about Risk Management