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bot.py

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+import time
+import random
+import secrets
+import logging
+from typing import List, Dict, Optional
+from datetime import datetime, timedelta
+
+# Constants
+SOLANA_API_URL = "https://api.solana.com"  # Replace with actual Solana API endpoint
+MAX_TRADE_AMOUNT = 1.0  # Maximum amount of SOL to trade per transaction
+STOP_LOSS = -0.1  # Stop loss threshold
+TAKE_PROFIT = 0.2  # Take profit threshold
+ROI_THRESHOLD = 50.0  # Minimum ROI to consider a wallet as "smart money"
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+logger = logging.getLogger(__name__)
+
+# Helper function to generate random wallet addresses
+def generate_random_wallet() -> str:
+    """
+    Generates a random Solana-like wallet address.
+    """
+    return f"wallet_{secrets.token_hex(8)}"
+
+# Helper function to generate random token addresses
+def generate_random_token() -> str:
+    """
+    Generates a random token address.
+    """
+    return f"token_{secrets.token_hex(4)}"
+
+# Simulated API for educational purposes
+class SolanaAPI:
+    @staticmethod
+    def get_wallets_from_contract(contract_address: str) -> List[str]:
+        """
+        Simulates fetching wallets associated with a specific contract.
+        Generates a random list of wallets for demonstration purposes.
+        """
+        logger.info(f"Fetching wallets for contract: {contract_address}")
+        time.sleep(1)  # Simulate network delay
+        return [generate_random_wallet() for _ in range(random.randint(5, 10))]  # Generate 5-10 random wallets
+
+    @staticmethod
+    def get_transactions(wallet: str) -> List[Dict]:
+        """
+        Simulates fetching transaction history for a wallet.
+        Generates random transactions for demonstration purposes.
+        """
+        logger.info(f"Fetching transactions for wallet: {wallet}")
+        time.sleep(1)  # Simulate network delay
+        return [
+            {
+                "token": generate_random_token(),
+                "amount": round(random.uniform(0.1, 10.0), 2),
+                "profit": round(random.uniform(-0.5, 2.0), 2),
+                "timestamp": datetime.now() - timedelta(days=random.randint(0, 30)),
+            }
+            for _ in range(random.randint(5, 15))  # Generate 5-15 random transactions
+        ]
+
+    @staticmethod
+    def execute_trade(wallet: str, token: str, amount: float) -> Dict:
+        """
+        Simulates executing a trade on Solana.
+        """
+        logger.info(f"Executing trade for wallet: {wallet}, token: {token}, amount: {amount}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "transaction_id": f"tx{secrets.token_hex(6)}"}
+
+
+class WalletAnalyzer:
+    @staticmethod
+    def calculate_roi(transactions: List[Dict]) -> float:
+        """
+        Calculates the ROI (Return on Investment) for a wallet based on its transaction history.
+        """
+        total_investment = sum(tx["amount"] for tx in transactions if tx["profit"] >= 0)
+        total_profit = sum(tx["profit"] for tx in transactions if tx["profit"] >= 0)
+        return (total_profit / total_investment) * 100 if total_investment > 0 else 0
+
+    @staticmethod
+    def calculate_win_rate(transactions: List[Dict]) -> float:
+        """
+        Calculates the win rate for a wallet based on its transaction history.
+        """
+        winning_trades = sum(1 for tx in transactions if tx["profit"] > 0)
+        total_trades = len(transactions)
+        return (winning_trades / total_trades) * 100 if total_trades > 0 else 0
+
+    @staticmethod
+    def is_smart_money(wallet: str, roi_threshold: float = ROI_THRESHOLD) -> bool:
+        """
+        Determines if a wallet is "smart money" based on its ROI and win rate.
+        """
+        transactions = SolanaAPI.get_transactions(wallet)
+        roi = WalletAnalyzer.calculate_roi(transactions)
+        win_rate = WalletAnalyzer.calculate_win_rate(transactions)
+        logger.info(f"Analyzing wallet {wallet}: ROI = {roi:.2f}%, Win Rate = {win_rate:.2f}%")
+        return roi >= roi_threshold and win_rate >= 60.0  # Example threshold for win rate
+
+
+class TradeExecutor:
+    def __init__(self, max_trade_amount: float = MAX_TRADE_AMOUNT, stop_loss: float = STOP_LOSS, take_profit: float = TAKE_PROFIT):
+        """
+        Initializes the trade executor with risk management parameters.
+        """
+        self.max_trade_amount = max_trade_amount
+        self.stop_loss = stop_loss
+        self.take_profit = take_profit
+
+    def execute_safe_trade(self, wallet: str, token: str, amount: float) -> Dict:
+        """
+        Executes a trade with risk management checks.
+        """
+        if amount > self.max_trade_amount:
+            logger.warning(f"Trade amount exceeds maximum allowed: {amount} > {self.max_trade_amount}")
+            return {"status": "failed", "reason": "exceeded_max_amount"}
+
+        result = SolanaAPI.execute_trade(wallet, token, amount)
+        logger.info(f"Trade executed: {result}")
+        return result
+
+
+class RiskManager:
+    @staticmethod
+    def check_stop_loss(transactions: List[Dict], stop_loss: float) -> bool:
+        """
+        Checks if the stop loss threshold has been reached.
+        """
+        total_loss = sum(tx["profit"] for tx in transactions if tx["profit"] < 0)
+        return total_loss <= stop_loss
+
+    @staticmethod
+    def check_take_profit(transactions: List[Dict], take_profit: float) -> bool:
+        """
+        Checks if the take profit threshold has been reached.
+        """
+        total_profit = sum(tx["profit"] for tx in transactions if tx["profit"] > 0)
+        return total_profit >= take_profit
+
+
+class LiquidityManager:
+    @staticmethod
+    def manage_liquidity_pools(pool_type: str, action: str, amount: float) -> Dict:
+        """
+        Manages liquidity pools on Raydium or Orca.
+        """
+        logger.info(f"Managing {pool_type} liquidity pool: {action} with amount {amount}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "pool_type": pool_type, "action": action, "amount": amount}
+
+
+class WalletGroupManager:
+    @staticmethod
+    def create_wallet_group(wallets: List[str], fees: float, slippage: float, priority: str) -> Dict:
+        """
+        Creates a custom wallet group with adjustable fees, slippage, and priority settings.
+        """
+        logger.info(f"Creating wallet group with {len(wallets)} wallets, fees: {fees}, slippage: {slippage}, priority: {priority}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "wallets": wallets, "fees": fees, "slippage": slippage, "priority": priority}
+
+
+class BulkOperations:
+    @staticmethod
+    def distribute_tokens(wallets: List[str], token: str, amount: float) -> Dict:
+        """
+        Distributes tokens across multiple wallets in one go.
+        """
+        logger.info(f"Distributing {amount} of {token} to {len(wallets)} wallets")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "wallets": wallets, "token": token, "amount": amount}
+
+
+class TokenSniper:
+    @staticmethod
+    def monitor_wallets_for_new_tokens(wallets: List[str]) -> Dict:
+        """
+        Monitors specific wallets for new token launches and acquires them instantly.
+        """
+        logger.info(f"Monitoring {len(wallets)} wallets for new token launches")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "wallets": wallets, "new_tokens": [generate_random_token() for _ in range(2)]}
+
+
+class TradeSnapshot:
+    @staticmethod
+    def capture_snapshot(wallets: List[str], block_height: int) -> Dict:
+        """
+        Captures token holdings at specific block heights for airdrops or governance votes.
+        """
+        logger.info(f"Capturing snapshot for {len(wallets)} wallets at block height {block_height}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "wallets": wallets, "block_height": block_height, "snapshot": {w: generate_random_token() for w in wallets}}
+
+
+class PumpStrategies:
+    @staticmethod
+    def manage_pump(wallets: List[str], token: str, amount: float) -> Dict:
+        """
+        Manages trades during community-driven pumps.
+        """
+        logger.info(f"Managing pump for {token} with {len(wallets)} wallets and amount {amount}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "wallets": wallets, "token": token, "amount": amount}
+
+
+class VolumeCreator:
+    @staticmethod
+    def simulate_trading_activity(token: str, intervals: List[int], volumes: List[float]) -> Dict:
+        """
+        Simulates trading activity by adjusting purchase intervals and volumes.
+        """
+        logger.info(f"Simulating trading activity for {token} with intervals {intervals} and volumes {volumes}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "token": token, "intervals": intervals, "volumes": volumes}
+
+
+class MarketBots:
+    @staticmethod
+    def deploy_market_making_bot(token: str, spread: float) -> Dict:
+        """
+        Deploys bots for market-making, ensuring liquidity and balanced trade spreads.
+        """
+        logger.info(f"Deploying market-making bot for {token} with spread {spread}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "token": token, "spread": spread}
+
+
+class TokenCreator:
+    @staticmethod
+    def launch_token(name: str, distribution: Dict, sniper_protection: bool) -> Dict:
+        """
+        Launches tokens with advanced distribution and sniper protection features.
+        """
+        logger.info(f"Launching token {name} with distribution {distribution} and sniper protection {sniper_protection}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "name": name, "distribution": distribution, "sniper_protection": sniper_protection}
+
+
+class CustomSettings:
+    @staticmethod
+    def update_configuration(config: Dict) -> Dict:
+        """
+        Updates bot configurations, language, and access logs.
+        """
+        logger.info(f"Updating bot configuration: {config}")
+        time.sleep(1)  # Simulate network delay
+        return {"status": "success", "config": config}
+
+
+class SolanaTradingBot:
+    def __init__(self, contract_address: str):
+        """
+        Initializes the trading bot with a target contract address.
+        """
+        self.contract_address = contract_address
+        self.wallet_analyzer = WalletAnalyzer()
+        self.trade_executor = TradeExecutor()
+        self.risk_manager = RiskManager()
+        self.liquidity_manager = LiquidityManager()
+        self.wallet_group_manager = WalletGroupManager()
+        self.bulk_operations = BulkOperations()
+        self.token_sniper = TokenSniper()
+        self.trade_snapshot = TradeSnapshot()
+        self.pump_strategies = PumpStrategies()
+        self.volume_creator = VolumeCreator()
+        self.market_bots = MarketBots()
+        self.token_creator = TokenCreator()
+        self.custom_settings = CustomSettings()
+
+    def run(self):
+        """
+        Main function to run the trading bot.
+        """
+        logger.info("Starting Solana Trading Bot...")
+
+        # Step 1: Parse wallets from the contract
+        wallets = SolanaAPI.get_wallets_from_contract(self.contract_address)
+        logger.info(f"Found wallets: {wallets}")
+
+        # Step 2: Identify "smart money" wallets
+        smart_money_wallets = []
+        for wallet in wallets:
+            if self.wallet_analyzer.is_smart_money(wallet):
+                smart_money_wallets.append(wallet)
+        logger.info(f"Smart money wallets: {smart_money_wallets}")
+
+        # Step 3: Execute trades for smart money wallets
+        for wallet in smart_money_wallets:
+            transactions = SolanaAPI.get_transactions(wallet)
+            if transactions:
+                # Trade the most recent token
+                latest_tx = transactions[-1]
+                token = latest_tx["token"]
+                amount = latest_tx["amount"]
+
+                # Check risk management before executing the trade
+                if self.risk_manager.check_stop_loss(transactions, STOP_LOSS):
+                    logger.warning(f"Stop loss triggered for wallet {wallet}. Skipping trade.")
+                    continue
+                if self.risk_manager.check_take_profit(transactions, TAKE_PROFIT):
+                    logger.warning(f"Take profit triggered for wallet {wallet}. Skipping trade.")
+                    continue
+
+                # Execute the trade
+                self.trade_executor.execute_safe_trade(wallet, token, amount)
+
+        # Step 4: Manage liquidity pools
+        self.liquidity_manager.manage_liquidity_pools("Raydium", "add", 100.0)
+
+        # Step 5: Create wallet groups
+        self.wallet_group_manager.create_wallet_group(wallets, fees=0.1, slippage=0.5, priority="high")
+
+        # Step 6: Distribute tokens in bulk
+        self.bulk_operations.distribute_tokens(wallets, "SOL", 10.0)
+
+        # Step 7: Monitor wallets for new tokens
+        self.token_sniper.monitor_wallets_for_new_tokens(wallets)
+
+        # Step 8: Capture trade snapshots
+        self.trade_snapshot.capture_snapshot(wallets, block_height=123456)
+
+        # Step 9: Manage pump strategies
+        self.pump_strategies.manage_pump(wallets, "TOKEN", 100.0)
+
+        # Step 10: Simulate trading activity
+        self.volume_creator.simulate_trading_activity("TOKEN", intervals=[10, 20, 30], volumes=[1.0, 2.0, 3.0])
+
+        # Step 11: Deploy market-making bots
+        self.market_bots.deploy_market_making_bot("TOKEN", spread=0.1)
+
+        # Step 12: Launch new tokens
+        self.token_creator.launch_token("NEW_TOKEN", distribution={"wallet1": 50, "wallet2": 50}, sniper_protection=True)
+
+        # Step 13: Update bot configurations
+        self.custom_settings.update_configuration({"language": "en", "log_level": "info"})
+
+        logger.info("Trading bot finished.")
+
+
+# Main execution
+if __name__ == "__main__":
+    # Replace with your target contract address
+    CONTRACT_ADDRESS = "example_contract_address"
+
+    # Initialize and run the bot
+    bot = SolanaTradingBot(CONTRACT_ADDRESS)
+    bot.run()