2c1acda2f3
- Update DQN trainer with gradient collapse detection warmup - Add portfolio tracker improvements - Include hyperopt trial results (multiple Sharpe ratio experiments) - Add new test files for action/position sign convention, early stopping, cash reserve bugs, and portfolio execution - Update trained model files - Add Claude Code configuration and skills 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Parallel Task Execution
Purpose
Execute independent subtasks in parallel for maximum efficiency.
Coordination Strategy
1. Task Decomposition
Tool: mcp__claude-flow__task_orchestrate
Parameters: {
"task": "Build complete REST API with auth, CRUD operations, and tests",
"strategy": "parallel",
"maxAgents": 8
}
2. Parallel Workflows
The system automatically:
- Identifies independent components
- Assigns specialized agents
- Executes in parallel where possible
- Synchronizes at dependency points
3. Example Breakdown
For the REST API task:
- Agent 1 (Architect): Design API structure
- Agent 2-3 (Coders): Implement auth & CRUD in parallel
- Agent 4 (Tester): Write tests as features complete
- Agent 5 (Documenter): Update docs continuously
CLI Usage
# Execute parallel tasks via CLI
npx claude-flow parallel "Build REST API" --max-agents 8
Performance Gains
- 🚀 2.8-4.4x faster execution
- 💪 Optimal CPU utilization
- 🔄 Automatic load balancing
- 📈 Linear scalability with agents
Monitoring
Tool: mcp__claude-flow__swarm_monitor
Parameters: {"interval": 1000, "swarmId": "current"}
Watch real-time parallel execution progress!