"""Quickstart example for OpenClaw Trading. This example demonstrates basic usage of the trading system. """ from openclaw.core.economy import TradingEconomicTracker def main(): """Run the quickstart example.""" print("=" * 60) print("OpenClaw Trading - Quickstart Example") print("=" * 60) # 1. Create an economic tracker print("\n1. Creating economic tracker...") tracker = TradingEconomicTracker( agent_id="quickstart_001", initial_capital=1000.0 ) print(f" Agent ID: quickstart_001") print(f" Initial Capital: $1,000.00") # 2. Check economic status print("\n2. Checking economic status...") status = tracker.get_survival_status() print(f" Status: {status.value}") print(f" Balance: ${tracker.balance:,.2f}") # 3. Simulate decision costs print("\n3. Simulating decision costs...") cost = tracker.calculate_decision_cost( tokens_input=1000, tokens_output=500, market_data_calls=2 ) print(f" Decision cost: ${cost:.4f}") print(f" New Balance: ${tracker.balance:,.2f}") # 4. Simulate a winning trade print("\n4. Simulating a winning trade...") trade_result = tracker.calculate_trade_cost( trade_value=500.0, is_win=True, win_amount=50.0 ) print(f" Trade fee: ${trade_result.fee:.4f}") print(f" Trade PnL: ${trade_result.pnl:.2f}") print(f" New Balance: ${tracker.balance:,.2f}") # 5. Check updated status print("\n5. Checking updated status...") new_status = tracker.get_survival_status() print(f" Status: {new_status.value}") # 6. Show cost summary print("\n6. Cost Summary:") print(f" Token Costs: ${tracker.token_costs:.4f}") print(f" Trade Costs: ${tracker.trade_costs:.4f}") print(f" Total Costs: ${tracker.total_costs:.4f}") print(f" Net Profit: ${tracker.net_profit:.2f}") # 7. Get balance history print("\n7. Balance History:") history = tracker.get_balance_history() for entry in history: print(f" {entry.timestamp}: ${entry.balance:,.2f} ({entry.change:+.4f})") print("\n" + "=" * 60) print("Quickstart complete!") print("=" * 60) if __name__ == "__main__": main()