Headless Trading

Autonomous trading toolkit for AI agents on Solana (Raydium) and BNB Chain (PancakeSwap).

Core Capabilities

1. Token Swaps

Execute swaps on decentralized exchanges without browser interaction:

• Raydium (Solana): SOL ↔ SPL tokens
• PancakeSwap (BNB Chain): BNB ↔ BEP20 tokens

2. Price Monitoring

Fetch real-time token prices:

• DEX liquidity pool prices
• Multiple pair support
• Slippage calculation

3. Portfolio Management

Check balances and positions:

• Native token balances (SOL, BNB)
• Token holdings across wallets
• Transaction history

4. Strategy Execution

Implement automated trading strategies:

• Limit orders (via monitoring + execution)
• DCA (Dollar Cost Averaging)
• Stop-loss / Take-profit
• Arbitrage opportunities

Quick Start

Prerequisites

1. Private key (environment variable or secure storage)
2. RPC endpoint (public or private node)
3. Python 3.8+ with dependencies

Installation

pip install solana web3 anchorpy raydium-py base58
pip install web3 pancakeswap-sdk

Basic Swap Example

from scripts.raydium_swap import swap_on_raydium

# Swap 0.1 SOL for USDC
tx_hash = swap_on_raydium(
    input_token="SOL",
    output_token="USDC",
    amount=0.1,
    slippage=1.0  # 1% slippage tolerance
)

Workflow Decision Tree

1. What chain are you trading on?

• Solana → Use

  raydium_*

  scripts + See references/raydium.md
• BNB Chain → Use

  pancakeswap_*

  scripts + See references/pancakeswap.md

2. What operation do you need?

• Get token price →

  get_price.py

• Check wallet balance →

  get_balance.py

• Execute swap →

  swap.py

• Monitor liquidity →

  monitor_pool.py

3. What strategy are you implementing?

• One-time trade → Direct swap
• Automated strategy → See references/strategies.md

Trading Operations

Get Token Price

from scripts.get_price import get_token_price

# Get current price of a token
price = get_token_price(
    chain="solana",
    token_address="EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",  # USDC
    quote_token="SOL"
)
print(f"Price: {price} SOL")

Check Wallet Balance

from scripts.get_balance import get_balance

# Check SOL balance
balance = get_balance(
    chain="solana",
    wallet_address="YOUR_WALLET_ADDRESS"
)
print(f"Balance: {balance} SOL")

Execute Swap

from scripts.swap import execute_swap

# Swap tokens with slippage protection
result = execute_swap(
    chain="solana",
    input_token="SOL",
    output_token="USDC",
    amount=0.5,
    slippage=1.0,
    private_key="YOUR_PRIVATE_KEY"  # Use env var in production
)

Monitor Liquidity Pool

from scripts.monitor_pool import get_pool_info

# Get liquidity pool stats
pool_info = get_pool_info(
    chain="solana",
    token_a="SOL",
    token_b="USDC"
)
print(f"Liquidity: ${pool_info['liquidity']}")
print(f"24h Volume: ${pool_info['volume_24h']}")

Security Best Practices

1. Private Key Management

NEVER hardcode private keys. Use environment variables or secure vaults:

import os

PRIVATE_KEY = os.getenv("TRADING_PRIVATE_KEY")
if not PRIVATE_KEY:
    raise ValueError("TRADING_PRIVATE_KEY not set")

2. Slippage Protection

Always set reasonable slippage limits:

• Stablecoins: 0.1-0.5%
• Blue chips: 0.5-1%
• Low liquidity: 1-3% (risky)

3. Transaction Simulation

Test swaps on devnet/testnet first:

result = execute_swap(
    chain="solana",
    input_token="SOL",
    output_token="USDC",
    amount=0.01,  # Small test amount
    slippage=1.0,
    simulate=True  # Dry run
)

4. Rate Limiting

Respect RPC rate limits:

• Public RPCs: ~5 req/sec
• Private RPCs: Check provider limits

5. Error Handling

Always handle transaction failures:

try:
    tx_hash = execute_swap(...)
    print(f"Success: {tx_hash}")
except InsufficientFundsError:
    print("Not enough balance")
except SlippageExceededError:
    print("Price moved too much")
except RPCError as e:
    print(f"RPC failed: {e}")

Common Patterns

Pattern 1: Price Monitoring Bot

Monitor token prices and execute when conditions are met:

from scripts.get_price import get_token_price
from scripts.swap import execute_swap
import time

TARGET_PRICE = 100  # USDC per token
CHECK_INTERVAL = 60  # seconds

while True:
    price = get_token_price(chain="solana", token_address="...", quote_token="USDC")
    
    if price <= TARGET_PRICE:
        execute_swap(
            chain="solana",
            input_token="USDC",
            output_token="TARGET_TOKEN",
            amount=100,
            slippage=1.0
        )
        break
    
    time.sleep(CHECK_INTERVAL)

Pattern 2: DCA (Dollar Cost Averaging)

Buy fixed amounts at regular intervals:

import schedule

def dca_buy():
    execute_swap(
        chain="solana",
        input_token="SOL",
        output_token="BTC",
        amount=0.1,  # 0.1 SOL every day
        slippage=1.0
    )

# Run daily at 9 AM
schedule.every().day.at("09:00").do(dca_buy)

Pattern 3: Stop-Loss

Sell when price drops below threshold:

ENTRY_PRICE = 100
STOP_LOSS_PERCENT = 10  # 10% loss

while True:
    current_price = get_token_price(...)
    loss_percent = ((ENTRY_PRICE - current_price) / ENTRY_PRICE) * 100
    
    if loss_percent >= STOP_LOSS_PERCENT:
        execute_swap(...)  # Sell position
        break
    
    time.sleep(60)

Resources

scripts/

Executable Python scripts for trading operations:

• get_price.py

  - Fetch token prices from DEXs

• get_balance.py

  - Check wallet balances

• swap.py

  - Execute token swaps

• monitor_pool.py

  - Get liquidity pool info

• raydium_swap.py

  - Raydium-specific swap implementation

• pancakeswap_swap.py

  - PancakeSwap-specific swap implementation

references/

• raydium.md

  - Raydium DEX API reference and pool addresses

• pancakeswap.md

  - PancakeSwap DEX API reference

• strategies.md

  - Detailed trading strategy implementations

• rpc_endpoints.md

  - List of public/private RPC providers

Limitations

• Gas fees: Transactions require native tokens (SOL, BNB)
• Slippage: High volatility can cause failed transactions
• RPC reliability: Public RPCs may be slow/unstable
• MEV: Transactions may be frontrun on popular pairs

Troubleshooting

"Insufficient funds"

• Check wallet balance with

  get_balance.py

• Ensure enough native token for gas fees

"Slippage exceeded"

• Increase slippage tolerance (carefully)
• Wait for lower volatility
• Split large orders into smaller ones

"Transaction failed"

• Check RPC endpoint is responsive
• Verify token addresses are correct
• Ensure wallet has approval for token spend

"Rate limited"

• Switch to private RPC
• Add delays between requests
• Use multiple RPC endpoints