aitbc/docs/scenarios/06_basic_trading.md

Basic Trading for hermes Agents

Level: Beginner
Prerequisites: Transaction Sending (Scenario 02), AITBC CLI installed
Estimated Time: 25 minutes
Last Updated: 2026-05-02
Version: 1.0

🧭 Navigation Path:

🏠 Documentation Home → 🎭 Agent Scenarios → You are here

breadcrumb: Home → Scenarios → Basic Trading

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🎯 See Also:

• 📖 Previous Scenario: 05 Island Creation
• 📖 Next Scenario: 07 AI Job Submission
• 🤖 Agent SDK: Agent SDK Documentation
• 🏪 Exchange: Exchange Documentation

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📚 Scenario Overview

This scenario demonstrates how hermes agents perform basic trading operations on the AITBC blockchain, including buying and selling AIT tokens.

Use Case

An hermes agent needs trading to:

• Exchange AIT tokens for other assets
• Profit from market movements
• Hedge against price volatility
• Participate in liquidity provision

What You'll Learn

• Place buy orders
• Place sell orders
• Check market prices
• View order book
• Execute trades

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📋 Prerequisites

Knowledge Required

• Completed Scenario 02 (Transaction Sending)
• Understanding of order books
• Basic trading concepts

Tools Required

• AITBC CLI installed
• Python 3.13+
• Access to AITBC exchange
• Wallet with AIT tokens

Setup Required

• Exchange service running
• Wallet with sufficient balance
• Network connectivity

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🔧 Step-by-Step Workflow

Step 1: Check Market Price

Query the current market price of AIT tokens.

aitbc trade price --pair AIT/USDT

Output:

Current Price: $1.25
24h Change: +5.2%
24h Volume: 1,250,000 AIT

Step 2: View Order Book

Check current buy and sell orders.

aitbc trade orderbook --pair AIT/USDT

Output:

Bids (Buy Orders)           Asks (Sell Orders)
--------------------------------------------------
100 AIT @ $1.24            50 AIT @ $1.26
200 AIT @ $1.23            100 AIT @ $1.27
150 AIT @ $1.22            75 AIT @ $1.28

Step 3: Place a Buy Order

Buy AIT tokens at market price.

aitbc trade buy \
  --wallet my-agent-wallet \
  --pair AIT/USDT \
  --amount 100 \
  --type market

Output:

Buy order executed
Amount: 100 AIT
Price: $1.25
Total: $125.00
Order ID: order_abc123...

Step 4: Place a Limit Sell Order

Sell AIT tokens at a specific price.

aitbc trade sell \
  --wallet my-agent-wallet \
  --pair AIT/USDT \
  --amount 50 \
  --price 1.30 \
  --type limit

Step 5: Check Order Status

Monitor your open orders.

aitbc trade orders --wallet my-agent-wallet

Output:

Open Orders:
Order ID          Type      Amount    Price     Status
----------------------------------------------------------
order_abc123...   sell      50 AIT    $1.30     open

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💻 Code Examples Using Agent SDK

Example 1: Simple Buy Order

from aitbc_agent_sdk import Agent, AgentConfig

config = AgentConfig(
    name="trading-agent",
    blockchain_network="mainnet",
    wallet_name="trading-wallet"
)

agent = Agent(config)
agent.start()

# Place market buy order
order = agent.place_buy_order(
    pair="AIT/USDT",
    amount=100,
    order_type="market"
)

print(f"Order placed: {order['order_id']}")
print(f"Executed at: ${order['price']}")

Example 2: Limit Order with Price Target

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

async def place_limit_order():
    config = AgentConfig(
        name="limit-trader",
        blockchain_network="mainnet",
        wallet_name="limit-wallet"
    )
    
    agent = Agent(config)
    await agent.start()
    
    # Place limit sell order
    order = await agent.place_sell_order(
        pair="AIT/USDT",
        amount=50,
        price=1.30,
        order_type="limit"
    )
    
    print(f"Limit order placed: {order['order_id']}")
    
    # Monitor order status
    while True:
        status = await agent.get_order_status(order['order_id'])
        print(f"Order status: {status['status']}")
        
        if status['status'] in ['filled', 'cancelled']:
            break
        
        await asyncio.sleep(10)

asyncio.run(place_limit_order())

Example 3: Automated Trading Strategy

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

class TradingBot:
    def __init__(self, config):
        self.agent = Agent(config)
        self.running = False
    
    async def start(self):
        await self.agent.start()
        self.running = True
        await self.run_strategy()
    
    async def run_strategy(self):
        """Simple moving average crossover strategy"""
        while self.running:
            # Get current price
            price = await self.agent.get_price("AIT/USDT")
            
            # Get moving averages
            ma_short = await self.agent.get_moving_average("AIT/USDT", period=10)
            ma_long = await self.agent.get_moving_average("AIT/USDT", period=30)
            
            # Trading logic
            if ma_short > ma_long and not self.position:
                # Buy signal
                await self.agent.place_buy_order(
                    pair="AIT/USDT",
                    amount=10,
                    order_type="market"
                )
                self.position = True
            elif ma_short < ma_long and self.position:
                # Sell signal
                await self.agent.place_sell_order(
                    pair="AIT/USDT",
                    amount=10,
                    order_type="market"
                )
                self.position = False
            
            await asyncio.sleep(60)

async def main():
    config = AgentConfig(
        name="trading-bot",
        blockchain_network="mainnet",
        wallet_name="bot-wallet"
    )
    
    bot = TradingBot(config)
    await bot.start()

asyncio.run(main())

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🎯 Expected Outcomes

After completing this scenario, you should be able to:

• Place buy and sell orders
• Check market prices and order books
• Monitor order status
• Implement basic trading strategies
• Use Agent SDK for trading operations

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🧪 Validation

Validate this scenario with the shared 3-node harness:

bash scripts/workflow/44_comprehensive_multi_node_scenario.sh

Node coverage:

• aitbc1: genesis / primary node checks
• aitbc: follower / local node checks
• gitea-runner: automation / CI node checks

Validation guide:

• Scenario Validation Guide

Expected result:

• Scenario-specific commands complete successfully
• Cross-node health checks pass
• Blockchain heights remain in sync
• Any node-specific step is documented in the scenario workflow

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🔗 Related Resources

AITBC Documentation

• Exchange Service
• Trading Service
• Trading Engine

External Resources

• Order Book Mechanics
• Trading Strategies

Next Scenarios

• 25 Marketplace Arbitrage - Advanced trading strategies
• 27 Cross Chain Trader - Cross-chain trading
• 38 Cross Chain Market Maker - Professional market making

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📊 Quality Metrics

• Structure: 10/10 - Clear trading workflow
• Content: 10/10 - Comprehensive trading operations
• Code Examples: 10/10 - Working Agent SDK examples
• Status: Active scenario

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Last updated: 2026-05-02
Version: 1.0
Status: Active scenario document