headless-trading
Autonomous trading for AI agents on Solana and BNB Chain. Use when: (1) executing token swaps on DEXs (Raydium, PancakeSwap), (2) checking token prices and balances, (3) monitoring…
Crypto Dev
@bnbcompanions
Install
$ openclaw skills install @bnbcompanions/headless-cryptoHeadless 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
- Private key (environment variable or secure storage)
- RPC endpoint (public or private node)
- 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 DEXsget_balance.py- Check wallet balancesswap.py- Execute token swapsmonitor_pool.py- Get liquidity pool inforaydium_swap.py- Raydium-specific swap implementationpancakeswap_swap.py- PancakeSwap-specific swap implementation
references/
raydium.md- Raydium DEX API reference and pool addressespancakeswap.md- PancakeSwap DEX API referencestrategies.md- Detailed trading strategy implementationsrpc_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
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