About This Architecture

Autonomous cryptocurrency swing trading bot powered by AWS Bedrock Claude Sonnet agent core, orchestrated via EventBridge schedulers triggering Lambda functions on 4-hour, 1-hour, 10-minute, and daily cycles. The AgentCore runtime executes the Strands Agent with tools for market data analysis, technical analysis, order execution, portfolio management, and risk assessment against Binance APIs. State management via DynamoDB tracks active pairs, cooldown periods, and reentry signals, while circuit breakers enforce ATR-based stop losses and profit protection rules. Observability through CloudWatch Logs, ADOT traces, and AppRegistry enables production monitoring; SSM Parameter Store and Secrets Manager secure the kill switch and API credentials. Fork this diagram to customize agent tools, adjust scheduling intervals, or integrate alternative LLM providers and exchanges.

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How do you build an autonomous cryptocurrency trading bot using AWS Bedrock agents with scheduled Lambda functions and DynamoDB state management?

This diagram shows a production-grade trading bot where EventBridge triggers Lambda functions on multiple schedules (4h, 1h, 10min, daily) that invoke an AgentCore runtime powered by Bedrock Claude Sonnet. The agent executes tools for market analysis and order execution against Binance APIs, with DynamoDB tracking pair state, cooldown periods, and reentry signals, while circuit breakers enforce de