---
name: headless-trading-becd889c1df9
description: "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 liquidity pools, (4) implementing trading strategies, (5) managing portfolio positions. Supports headless execution without browser interaction."
---

# 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

```bash
pip install solana web3 anchorpy raydium-py base58
pip install web3 pancakeswap-sdk
```

### Basic Swap Example

```python
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](references/raydium.md)
- BNB Chain → Use `pancakeswap_*` scripts + See [references/pancakeswap.md](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](references/strategies.md)

## Trading Operations

### Get Token Price

```python
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

```python
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

```python
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

```python
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:

```python
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:

```python
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:

```python
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:

```python
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:

```python
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:

```python
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


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/headless-crypto/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/headless-crypto/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Finance & Accounting, Marketing, Sales
Roles: Business Development, Data Analyst, Financial Analyst, Growth Marketer, Product Marketer
Specialties: API, Backend
Tools: Pancakeswap, Raydium, Solana
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 074892ff39033ba56a38f8feaa610684d96cf3a8d64dba4eb1174e2bcddf68e9
