Files
aitbc/apps/agent-services_backup_20260402_122040/agent-trading/src/trading_agent.py
aitbc bec0078f49 feat: scale to multi-node production network
 Validator Scaling
- Added 8 high-stake validators (5000.0 AITBC each)
- Total network stake: 40,000+ AITBC
- Multi-node validator distribution

 Production Environment Setup
- Production configuration deployed
- Environment-specific configs ready
- Git-based deployment pipeline verified

 Network Status
- localhost: 8 validators, production-ready
- aitbc1: 2 validators, operational
- Multi-node consensus established

🚀 Ready for agent onboarding and job marketplace!
2026-04-02 12:21:20 +02:00

167 lines
5.6 KiB
Python

#!/usr/bin/env python3
"""
AITBC Trading Agent
Automated trading agent for AITBC marketplace
"""
import asyncio
import json
import time
from typing import Dict, Any, List
from datetime import datetime
import sys
import os
# Add parent directory to path
sys.path.append(os.path.join(os.path.dirname(__file__), '../../../..'))
from apps.agent_services.agent_bridge.src.integration_layer import AgentServiceBridge
class TradingAgent:
"""Automated trading agent"""
def __init__(self, agent_id: str, config: Dict[str, Any]):
self.agent_id = agent_id
self.config = config
self.bridge = AgentServiceBridge()
self.is_running = False
self.trading_strategy = config.get("strategy", "basic")
self.symbols = config.get("symbols", ["AITBC/BTC"])
self.trade_interval = config.get("trade_interval", 60) # seconds
async def start(self) -> bool:
"""Start trading agent"""
try:
# Register with service bridge
success = await self.bridge.start_agent(self.agent_id, {
"type": "trading",
"capabilities": ["market_analysis", "trading", "risk_management"],
"endpoint": f"http://localhost:8005"
})
if success:
self.is_running = True
print(f"Trading agent {self.agent_id} started successfully")
return True
else:
print(f"Failed to start trading agent {self.agent_id}")
return False
except Exception as e:
print(f"Error starting trading agent: {e}")
return False
async def stop(self) -> bool:
"""Stop trading agent"""
self.is_running = False
success = await self.bridge.stop_agent(self.agent_id)
if success:
print(f"Trading agent {self.agent_id} stopped successfully")
return success
async def run_trading_loop(self):
"""Main trading loop"""
while self.is_running:
try:
for symbol in self.symbols:
await self._analyze_and_trade(symbol)
await asyncio.sleep(self.trade_interval)
except Exception as e:
print(f"Error in trading loop: {e}")
await asyncio.sleep(10) # Wait before retrying
async def _analyze_and_trade(self, symbol: str) -> None:
"""Analyze market and execute trades"""
try:
# Perform market analysis
analysis_task = {
"type": "market_analysis",
"symbol": symbol,
"strategy": self.trading_strategy
}
analysis_result = await self.bridge.execute_agent_task(self.agent_id, analysis_task)
if analysis_result.get("status") == "success":
analysis = analysis_result["result"]["analysis"]
# Make trading decision
if self._should_trade(analysis):
await self._execute_trade(symbol, analysis)
else:
print(f"Market analysis failed for {symbol}: {analysis_result}")
except Exception as e:
print(f"Error in analyze_and_trade for {symbol}: {e}")
def _should_trade(self, analysis: Dict[str, Any]) -> bool:
"""Determine if should execute trade"""
recommendation = analysis.get("recommendation", "hold")
return recommendation in ["buy", "sell"]
async def _execute_trade(self, symbol: str, analysis: Dict[str, Any]) -> None:
"""Execute trade based on analysis"""
try:
recommendation = analysis.get("recommendation", "hold")
if recommendation == "buy":
trade_task = {
"type": "trading",
"symbol": symbol,
"side": "buy",
"amount": self.config.get("trade_amount", 0.1),
"strategy": self.trading_strategy
}
elif recommendation == "sell":
trade_task = {
"type": "trading",
"symbol": symbol,
"side": "sell",
"amount": self.config.get("trade_amount", 0.1),
"strategy": self.trading_strategy
}
else:
return
trade_result = await self.bridge.execute_agent_task(self.agent_id, trade_task)
if trade_result.get("status") == "success":
print(f"Trade executed successfully: {trade_result}")
else:
print(f"Trade execution failed: {trade_result}")
except Exception as e:
print(f"Error executing trade: {e}")
async def get_status(self) -> Dict[str, Any]:
"""Get agent status"""
return await self.bridge.get_agent_status(self.agent_id)
# Main execution
async def main():
"""Main trading agent execution"""
agent_id = "trading-agent-001"
config = {
"strategy": "basic",
"symbols": ["AITBC/BTC"],
"trade_interval": 30,
"trade_amount": 0.1
}
agent = TradingAgent(agent_id, config)
# Start agent
if await agent.start():
try:
# Run trading loop
await agent.run_trading_loop()
except KeyboardInterrupt:
print("Shutting down trading agent...")
finally:
await agent.stop()
else:
print("Failed to start trading agent")
if __name__ == "__main__":
asyncio.run(main())