├── README.md └── trading-bot.py /README.md: -------------------------------------------------------------------------------- 1 | # Solana-CopyTrading-and-Frontrunning-Bot 2 | Creating a copy trading and frontrunning bot for the Solana blockchain involves several components, including monitoring pending transactions, executing trades, and implementing a user-friendly interface. Below is an outline and code snippets to help you get started. 3 | Project Structure 4 | 5 | arduino 6 | 7 | copy_trading_bot/ 8 | ├── bot.py 9 | ├── solana_client.py 10 | ├── trading_strategy.py 11 | ├── gui.py 12 | ├── requirements.txt 13 | └── config.json 14 | 15 | Step 1: Install Required Libraries 16 | 17 | Create a requirements.txt file for dependencies: 18 | 19 | plaintext 20 | 21 | solana 22 | requests 23 | pyqt5 # For GUI 24 | 25 | Install the libraries: 26 | 27 | bash 28 | 29 | pip install -r requirements.txt 30 | 31 | Step 2: Configuration File (config.json) 32 | 33 | Create a configuration file to store API keys, wallet addresses, and other settings. 34 | 35 | json 36 | 37 | { 38 | "solana_rpc_url": "https://api.mainnet-beta.solana.com", 39 | "target_wallet": "TARGET_WALLET_ADDRESS", 40 | "copy_trader_wallet": "COPY_TRADER_WALLET_ADDRESS", 41 | "trading_keypair": "YOUR_TRADING_KEYPAIR_JSON", 42 | "front_running_threshold": 1000 // Adjust as necessary 43 | } 44 | 45 | Step 3: Solana Client (solana_client.py) 46 | 47 | Create a client to interact with the Solana blockchain. 48 | 49 | python 50 | 51 | import json 52 | import requests 53 | from solana.rpc.api import Client 54 | from solana.transaction import Transaction 55 | from solana.rpc.types import TxOpts 56 | from solana.publickey import PublicKey 57 | 58 | class SolanaClient: 59 | def __init__(self, rpc_url): 60 | self.client = Client(rpc_url) 61 | 62 | def get_balance(self, wallet_address): 63 | return self.client.get_balance(PublicKey(wallet_address)) 64 | 65 | def send_transaction(self, transaction): 66 | response = self.client.send_transaction(transaction, opts=TxOpts(skip_preflight=True)) 67 | return response 68 | 69 | Step 4: Trading Strategy (trading_strategy.py) 70 | 71 | Implement the logic for copying trades and frontrunning. 72 | 73 | python 74 | 75 | import time 76 | from solana_client import SolanaClient 77 | 78 | class TradingStrategy: 79 | def __init__(self, solana_client, target_wallet, trader_wallet, threshold): 80 | self.client = solana_client 81 | self.target_wallet = target_wallet 82 | self.trader_wallet = trader_wallet 83 | self.threshold = threshold 84 | 85 | def monitor_transactions(self): 86 | while True: 87 | # Fetch recent transactions for the target wallet 88 | transactions = self.client.get_recent_performance_samples() 89 | # Check if any transaction is related to the target wallet 90 | for tx in transactions: 91 | if self.target_wallet in tx['transaction']: 92 | # Execute frontrunning logic 93 | self.execute_frontrun(tx) 94 | time.sleep(2) # Polling interval 95 | 96 | def execute_frontrun(self, tx): 97 | # Implement logic to place orders ahead of the target wallet 98 | # Create and send transaction based on tx details 99 | print(f"Frontrunning transaction: {tx}") 100 | 101 | Step 5: User Interface (gui.py) 102 | 103 | Create a simple GUI using PyQt5. 104 | 105 | python 106 | 107 | from PyQt5 import QtWidgets 108 | import sys 109 | 110 | class TradingBotGUI(QtWidgets.QWidget): 111 | def __init__(self): 112 | super().__init__() 113 | self.init_ui() 114 | 115 | def init_ui(self): 116 | self.setWindowTitle('Copy Trading Bot') 117 | self.setGeometry(100, 100, 400, 300) 118 | 119 | self.start_button = QtWidgets.QPushButton('Start Monitoring', self) 120 | self.start_button.clicked.connect(self.start_monitoring) 121 | 122 | self.layout = QtWidgets.QVBoxLayout() 123 | self.layout.addWidget(self.start_button) 124 | self.setLayout(self.layout) 125 | 126 | def start_monitoring(self): 127 | print("Monitoring started...") 128 | 129 | if __name__ == '__main__': 130 | app = QtWidgets.QApplication(sys.argv) 131 | ex = TradingBotGUI() 132 | ex.show() 133 | sys.exit(app.exec_()) 134 | 135 | Step 6: Main Bot Logic (bot.py) 136 | 137 | Combine everything to run the bot. 138 | 139 | python 140 | 141 | import json 142 | from solana_client import SolanaClient 143 | from trading_strategy import TradingStrategy 144 | from gui import TradingBotGUI 145 | 146 | def load_config(): 147 | with open('config.json') as f: 148 | return json.load(f) 149 | 150 | if __name__ == '__main__': 151 | config = load_config() 152 | solana_client = SolanaClient(config['solana_rpc_url']) 153 | 154 | trading_strategy = TradingStrategy( 155 | solana_client, 156 | config['target_wallet'], 157 | config['copy_trader_wallet'], 158 | config['front_running_threshold'] 159 | ) 160 | 161 | # Start the GUI 162 | gui = TradingBotGUI() 163 | gui.show() 164 | 165 | # Start monitoring transactions in a separate thread 166 | # Note: Use threading or multiprocessing to run this in the background 167 | trading_strategy.monitor_transactions() 168 | 169 | Final Considerations 170 | 171 | Security: Implement advanced security measures, such as private key management and encrypted storage. 172 | Testing: Thoroughly test your bot on a testnet before deploying to mainnet. 173 | Optimization: Monitor performance and optimize for speed, especially for high-frequency trading. 174 | Legal Compliance: Ensure compliance with all applicable regulations regarding trading and automated bots. 175 | 176 | Note 177 | 178 | This code provides a foundational framework for a copy trading and frontrunning bot on the Solana blockchain. You'll need to refine the model, implement detailed trading strategies, and ensure compliance with security standards and regulations. Additionally, a robust error-handling mechanism should be included to handle exceptions and ensure system stability. 179 | -------------------------------------------------------------------------------- /trading-bot.py: -------------------------------------------------------------------------------- 1 | import os 2 | import time 3 | import json 4 | import logging 5 | import requests 6 | from solana.publickey import PublicKey 7 | from solana.rpc.api import Client 8 | from solana.keypair import Keypair 9 | from solana.wallet import Wallet 10 | import base58 11 | 12 | # Setup logging 13 | logging.basicConfig( 14 | format='%(asctime)s %(levelname)s: %(message)s', 15 | level=logging.INFO, 16 | handlers=[ 17 | logging.StreamHandler(), 18 | logging.FileHandler('trading-bot.log') 19 | ] 20 | ) 21 | logger = logging.getLogger() 22 | 23 | # API Setup 24 | API_KEY = os.getenv('API_KEY') 25 | BASE_URL = 'https://data.solanatracker.io/' 26 | SESSION = requests.Session() 27 | SESSION.headers.update({"x-api-key": API_KEY}) 28 | 29 | # Constants 30 | SOL_ADDRESS = "So11111111111111111111111111111111111111112" 31 | POSITION_FILE = "positions.json" 32 | SOLD_POSITION_FILE = "sold_positions.json" 33 | 34 | class TradingBot: 35 | def __init__(self): 36 | self.config = { 37 | "amount": float(os.getenv("AMOUNT")), 38 | "delay": int(os.getenv("DELAY")), 39 | "monitor_interval": int(os.getenv("MONITOR_INTERVAL")), 40 | "slippage": int(os.getenv("SLIPPAGE")), 41 | "priority_fee": float(os.getenv("PRIORITY_FEE")), 42 | "use_jito": os.getenv("JITO") == "true", 43 | "rpc_url": os.getenv("RPC_URL"), 44 | "min_liquidity": float(os.getenv("MIN_LIQUIDITY", 0)), 45 | "max_liquidity": float(os.getenv("MAX_LIQUIDITY", float("inf"))), 46 | "min_market_cap": float(os.getenv("MIN_MARKET_CAP", 0)), 47 | "max_market_cap": float(os.getenv("MAX_MARKET_CAP", float("inf"))), 48 | "min_risk_score": int(os.getenv("MIN_RISK_SCORE", 0)), 49 | "max_risk_score": int(os.getenv("MAX_RISK_SCORE", 10)), 50 | "require_social_data": os.getenv("REQUIRE_SOCIAL_DATA") == "true", 51 | "max_negative_pnl": float(os.getenv("MAX_NEGATIVE_PNL", float("-inf"))), 52 | "max_positive_pnl": float(os.getenv("MAX_POSITIVE_PNL", float("inf"))), 53 | "markets": os.getenv("MARKETS", "raydium,orca,pumpfun,moonshot,raydium-cpmm").split(",") 54 | } 55 | 56 | self.private_key = os.getenv("PRIVATE_KEY") 57 | self.positions = {} 58 | self.sold_positions = [] 59 | self.seen_tokens = set() 60 | self.buying_tokens = set() 61 | self.selling_positions = set() 62 | 63 | self.connection = Client(self.config["rpc_url"]) 64 | 65 | def initialize(self): 66 | self.keypair = Keypair.from_secret_key(base58.b58decode(self.private_key)) 67 | self.wallet = Wallet(self.keypair) 68 | self.load_positions() 69 | self.load_sold_positions() 70 | 71 | def fetch_tokens(self): 72 | try: 73 | response = SESSION.get(BASE_URL + "/tokens/latest") 74 | response.raise_for_status() 75 | return response.json() 76 | except requests.RequestException as e: 77 | logger.error(f"Error fetching token data: {e}") 78 | return [] 79 | 80 | def fetch_token_data(self, token_id): 81 | try: 82 | response = SESSION.get(f"{BASE_URL}/tokens/{token_id}") 83 | response.raise_for_status() 84 | return response.json() 85 | except requests.RequestException as e: 86 | logger.error(f"Error fetching token data for {token_id}: {e}") 87 | return None 88 | 89 | def filter_tokens(self, tokens): 90 | return [ 91 | token for token in tokens 92 | if self.is_valid_token(token) 93 | ] 94 | 95 | def is_valid_token(self, token): 96 | pool = token['pools'][0] 97 | liquidity = pool['liquidity']['usd'] 98 | market_cap = pool['marketCap']['usd'] 99 | risk_score = token['risk']['score'] 100 | has_social_data = any([token['token'].get(field) for field in ['twitter', 'telegram', 'website']]) 101 | is_in_allowed_market = pool['market'] in self.config['markets'] 102 | 103 | return ( 104 | liquidity >= self.config['min_liquidity'] and 105 | liquidity <= self.config['max_liquidity'] and 106 | market_cap >= self.config['min_market_cap'] and 107 | market_cap <= self.config['max_market_cap'] and 108 | risk_score >= self.config['min_risk_score'] and 109 | risk_score <= self.config['max_risk_score'] and 110 | (not self.config['require_social_data'] or has_social_data) and 111 | is_in_allowed_market and 112 | token['token']['mint'] not in self.seen_tokens and 113 | token['token']['mint'] not in self.buying_tokens 114 | ) 115 | 116 | def get_wallet_amount(self, wallet, mint, retries=3): 117 | time.sleep(5) 118 | for attempt in range(retries): 119 | try: 120 | token_account_info = self.connection.get_token_accounts_by_owner(wallet, mint=PublicKey(mint)) 121 | if token_account_info['result']['value']: 122 | balance = token_account_info['result']['value'][0]['account']['data']['parsed']['info']['tokenAmount']['uiAmount'] 123 | if balance > 0: 124 | return balance 125 | time.sleep(10) 126 | except Exception as e: 127 | if attempt < retries - 1: 128 | time.sleep(10) 129 | else: 130 | logger.error(f"Error getting wallet amount for {mint}: {e}") 131 | return None 132 | 133 | def perform_swap(self, token, is_buy): 134 | logger.info(f"{'[BUYING]' if is_buy else '[SELLING]'} {token['token']['symbol']} [{token['token']['mint']}]") 135 | amount = self.config['amount'] 136 | from_token, to_token = (SOL_ADDRESS, token['token']['mint']) if not is_buy else (token['token']['mint'], SOL_ADDRESS) 137 | 138 | # Perform swap logic (you need the actual swap method to execute the trade) 139 | try: 140 | swap_amount = amount if is_buy else self.positions[token['token']['mint']]['amount'] 141 | # Here the actual swap should occur using the Solana API (stubbed in this example) 142 | logger.info(f"Swap transaction successful: {token['token']['symbol']}") 143 | return True 144 | except Exception as e: 145 | logger.error(f"Error performing {'buy' if is_buy else 'sell'} for {token['token']['mint']}: {e}") 146 | return False 147 | 148 | def buy_monitor(self): 149 | while True: 150 | tokens = self.fetch_tokens() 151 | filtered_tokens = self.filter_tokens(tokens) 152 | 153 | for token in filtered_tokens: 154 | if token['token']['mint'] not in self.positions and token['token']['mint'] not in self.buying_tokens: 155 | self.buying_tokens.add(token['token']['mint']) 156 | self.perform_swap(token, is_buy=True) 157 | 158 | time.sleep(self.config['delay']) 159 | 160 | def position_monitor(self): 161 | while True: 162 | for token_mint in list(self.positions.keys()): 163 | self.check_and_sell_position(token_mint) 164 | 165 | time.sleep(self.config['monitor_interval']) 166 | 167 | def check_and_sell_position(self, token_mint): 168 | if token_mint in self.selling_positions: 169 | return 170 | 171 | position = self.positions.get(token_mint) 172 | if not position: 173 | return 174 | 175 | token_data = self.fetch_token_data(token_mint) 176 | if not token_data: 177 | logger.error(f"Failed to fetch token data for {token_mint}") 178 | return 179 | 180 | current_price = token_data['pools'][0]['price']['quote'] 181 | pnl_percentage = ((current_price - position['entry_price']) / position['entry_price']) * 100 182 | 183 | logger.info(f"PnL for position [{position['symbol']}] {pnl_percentage:.2f}%") 184 | 185 | if pnl_percentage <= self.config['max_negative_pnl'] or pnl_percentage >= self.config['max_positive_pnl']: 186 | self.selling_positions.add(token_mint) 187 | self.perform_swap(token_data, is_buy=False) 188 | 189 | def load_positions(self): 190 | try: 191 | with open(POSITION_FILE, 'r') as file: 192 | self.positions = json.load(file) 193 | logger.info(f"Loaded {len(self.positions)} positions from file") 194 | except FileNotFoundError: 195 | pass 196 | 197 | def save_positions(self): 198 | try: 199 | with open(POSITION_FILE, 'w') as file: 200 | json.dump(self.positions, file, indent=2) 201 | logger.info(f"Saved {len(self.positions)} positions to file") 202 | except Exception as e: 203 | logger.error(f"Error saving positions: {e}") 204 | 205 | def load_sold_positions(self): 206 | try: 207 | with open(SOLD_POSITION_FILE, 'r') as file: 208 | self.sold_positions = json.load(file) 209 | logger.info(f"Loaded {len(self.sold_positions)} sold positions from file") 210 | except FileNotFoundError: 211 | pass 212 | 213 | def save_sold_positions(self): 214 | try: 215 | with open(SOLD_POSITION_FILE, 'w') as file: 216 | json.dump(self.sold_positions, file, indent=2) 217 | logger.info(f"Saved {len(self.sold_positions)} sold positions to file") 218 | except Exception as e: 219 | logger.error(f"Error saving sold positions: {e}") 220 | 221 | def start(self): 222 | logger.info("Starting Trading Bot") 223 | self.initialize() 224 | 225 | # Run buying and selling loops concurrently 226 | from threading import Thread 227 | buy_thread = Thread(target=self.buy_monitor) 228 | position_thread = Thread(target=self.position_monitor) 229 | 230 | buy_thread.start() 231 | position_thread.start() 232 | 233 | if __name__ == "__main__": 234 | bot = TradingBot() 235 | bot.start() 236 | --------------------------------------------------------------------------------