is this bot correct import asyncio
import json
import logging
import math
from binance.client import Client
from binance.enums import *
from binance.exceptions import BinanceAPIException
import websockets

# Replace 'your_api_key' and 'your_api_secret' with your actual Binance API credentials
api_key = ''
api_secret = ''

# Initialize the Binance client
client = Client(api_key, api_secret)

# Constants
SPOT_FEE = 0.0007          # 0.07% spot trading fee
TRADE_AMOUNT = 20          # Trade size in USDT
MIN_PROFIT_THRESHOLD = 0.2 # Minimum profit in USDT
DRY_RUN = True             # True for simulation mode, False for live trading
SLIPPAGE_TOLERANCE = 0.001 # 0.1% slippage tolerance
CHECK_INTERVAL = 0.5       # Seconds between price checks

# Set up logging with a neat format
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s [%(levelname)s] %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

# Helper functions
def get_symbols_info():
    exchange_info = client.get_exchange_info()
    symbols_info = {}
    for symbol in exchange_info['symbols']:
        symbols_info[symbol['symbol']] = {
            'baseAsset': symbol['baseAsset'],
            'quoteAsset': symbol['quoteAsset'],
            'status': symbol['status'],
            'filters': symbol['filters']
        }
    return symbols_info

def get_precision(symbol_info):
    for f in symbol_info['filters']:
        if f['filterType'] == 'LOT_SIZE':
            step_size = float(f['stepSize'])
            precision = int(round(-math.log(step_size, 10), 0))
            return precision
    return 8  # Default precision if not specified

def format_quantity(quantity, precision):
    return float(f"{quantity:.{precision}f}")

def get_balance(asset):
    balance = client.get_asset_balance(asset=asset)
    if balance:
        return float(balance['free'])
    else:
        return 0.0

def generate_triangular_pairs(symbols_info):
    pairs = {}
    for symbol, info in symbols_info.items():
        base = info['baseAsset']
        quote = info['quoteAsset']
        if info['status'] != 'TRADING':
            continue
        if base not in pairs:
            pairs[base] = set()
        if quote not in pairs:
            pairs[quote] = set()
        pairs[base].add(quote)
        pairs[quote].add(base)

    triangular_pairs = []
    assets = list(pairs.keys())
    for a in assets:
        for b in pairs[a]:
            for c in pairs[b]:
                if c in pairs[a] and a != b and b != c and a != c:
                    pair1 = get_symbol(a, b, symbols_info)
                    pair2 = get_symbol(b, c, symbols_info)
                    pair3 = get_symbol(c, a, symbols_info)
                    if pair1 and pair2 and pair3:
                        path = [pair1, pair2, pair3]
                        triangular_pairs.append(path)
    return triangular_pairs

def get_symbol(asset1, asset2, symbols_info):
    symbol = asset1 + asset2
    if symbol in symbols_info:
        return symbol
    symbol = asset2 + asset1
    if symbol in symbols_info:
        return symbol
    return None

# Main function
async def main():
    symbols_info = get_symbols_info()
    pairs = generate_triangular_pairs(symbols_info)
    logging.info(f"Total triangular pairs identified: {len(pairs)}")
    await subscribe_to_prices(pairs, symbols_info)

async def subscribe_to_prices(pairs, symbols_info):
    url = 'wss://stream.binance.com:9443/ws/!ticker@arr'
    async with websockets.connect(url) as websocket:
        while True:
            try:
                data = await websocket.recv()
                tickers = json.loads(data)
                prices = {}
                for ticker in tickers:
                    symbol = ticker['s']
                    prices[symbol] = {
                        'bid': float(ticker['b']),
                        'ask': float(ticker['a'])
                    }
                process_pairs(prices, pairs, symbols_info)
            except Exception as e:
                logging.error(f"Error in websocket connection: {e}")
                await asyncio.sleep(1)

def process_pairs(prices, pairs, symbols_info):
    for path in pairs:
        result = calculate_arbitrage(path, prices)
        if result and result['profit'] >= MIN_PROFIT_THRESHOLD:
            logging.info(f"Arbitrage opportunity detected:")
            logging.info(f"Path: {result['path']}")
            logging.info(f"Expected Profit: {result['profit']:.6f} USDT")
            if not DRY_RUN:
                execute_trades(result, symbols_info)

def calculate_arbitrage(path, prices):
    try:
        # Unpack symbols
        sym1, sym2, sym3 = path
        # Get prices
        price1 = prices[sym1]['ask']  # Buy price
        price2 = prices[sym2]['ask']  # Buy price
        price3 = prices[sym3]['bid']  # Sell price

        # Calculate amounts through the triangle
        amount_initial = TRADE_AMOUNT
        amount_a = amount_initial / price1  # Buy asset A
        amount_b = amount_a / price2        # Buy asset B
        amount_final = amount_b * price3    # Sell back to initial asset

        # Calculate fees
        total_fees = (amount_initial * SPOT_FEE) \
                   + ((amount_a * price2) * SPOT_FEE) \
                   + ((amount_b * price3) * SPOT_FEE)

        # Calculate net profit
        profit = amount_final - amount_initial - total_fees

        if profit >= MIN_PROFIT_THRESHOLD:
            return {
                'path': path,
                'amount_initial': amount_initial,
                'amount_final': amount_final,
                'profit': profit,
                'prices': {
                    sym1: price1,
                    sym2: price2,
                    sym3: price3
                }
            }
    except KeyError:
        pass  # Handle missing price data
    return None

def execute_trades(result, symbols_info):
    path = result['path']
    prices = result['prices']
    amount_initial = result['amount_initial']

    try:
        # Get symbol info and precision
        sym1_info = symbols_info[path[0]]
        sym1_precision = get_precision(sym1_info)
        sym2_info = symbols_info[path[1]]
        sym2_precision = get_precision(sym2_info)
        sym3_info = symbols_info[path[2]]
        sym3_precision = get_precision(sym3_info)

        # Calculate quantities
        qty1 = format_quantity(amount_initial / prices[path[0]], sym1_precision)
        qty2 = format_quantity(qty1 / prices[path[1]], sym2_precision)
        qty3 = format_quantity(qty2, sym3_precision)

        # Check balances
        base_asset = sym1_info['quoteAsset']
        if get_balance(base_asset) < amount_initial:
            logging.warning(f"Insufficient balance for {base_asset}")
            return

        # Place orders
        order1 = client.order_market_buy(
            symbol=path[0],
            quoteOrderQty=amount_initial
        )
        logging.info(f"Order 1 executed: Buy {path[0]} | Amount: {amount_initial} {base_asset}")

        order2 = client.order_market_buy(
            symbol=path[1],
            quoteOrderQty=order1['executedQty']
        )
        logging.info(f"Order 2 executed: Buy {path[1]} | Amount: {order1['executedQty']}")

        order3 = client.order_market_sell(
            symbol=path[2],
            quantity=order2['executedQty']
        )
        logging.info(f"Order 3 executed: Sell {path[2]} | Quantity: {order2['executedQty']}")

        logging.info(f"Arbitrage sequence complete. Profit: {result['profit']:.6f} USDT")

    except BinanceAPIException as e:
        logging.error(f"Binance API Exception: {e}")
    except Exception as e:
        logging.error(f"Error executing trades: {e}")

if __name__ == "__main__":
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        logging.info("Bot stopped by user")