You didn;t continue code, Code : Here’s an updated version of the code with some improvements and suggestions:

import time
from binance.client import Client
from binance.enums import *
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
from ta import trend, momentum
from ta.trend import SMAIndicator

# Helper function to format timestamps
def format_time(timestamp):
return dt.datetime.fromtimestamp(timestamp/1000).strftime(‘%Y-%m-%d %H:%M:%S’)

# Set API key and secret
API_KEY = ‘’
API_SECRET = ‘’

# Initialize Binance Futures client
client = Client(API_KEY, API_SECRET)

# Set endpoint and parameters for account info request
account_url = “https://fapi.binance.com/fapi/v2/account”
timestamp = int(time.time() * 1000)
recv_window = 5000
params = {“timestamp”: timestamp, “recvWindow”: recv_window}

# Sign the message using the Client’s secret key
message = ‘&’.join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[‘signature’] = signature
leverage = 100

# Send the request using the requests library
response = requests.get(account_url, params=params, headers={‘X-MBX-APIKEY’: API_KEY})
account_info = response.json()

# Get USDT balance and calculate max trade size based on leverage
try:
usdt_balance = next((item for item in account_info[‘accountBalance’] if item[“asset”] == “USDT”), {“free”: 0})[‘free’]
except KeyError:
usdt_balance = 0
print(“Error: Could not retrieve USDT balance from API response.”)

max_trade_size = float(usdt_balance) * leverage

# Define symbol and trading parameters
symbol = ‘BTCUSDT’
order_type = ‘MARKET’
step_size = 0.01
leverage = 100
max_trade_quantity_percentage = 1
stop_loss_percentage = -2
take_profit_percentage = 5

# Initialize Binance Futures API client
binance_futures = ccxt.binance({
‘apiKey’: API_KEY,
‘secret’: API_SECRET,
‘enableRateLimit’: True,
‘options’: {
‘defaultType’: ‘future’,
‘adjustForTimeDifference’: True
},
‘future’: {
‘sideEffectType’: ‘MARGIN_BUY’,
}
})

# Load the market symbols and check if the selected symbol is available
markets = binance_futures.load_markets()
if symbol not in markets:
print(f"{symbol} not found in the market")
exit()

# Define function to synchronize system clock with NTP
def sync_time():
ntp_client = ntplib.NTPClient()
response = ntp_client.request(‘pool.ntp.org’, version=3)
now = time.time()
offset = response.offset
new_time = now + offset
# Set the system clock to the new time
os.system(f’sudo date -s @{int(new_time)}‘)
print(f’New time: {dt.datetime.now()}’)

# Define function to get klines data from Binance API
def get_klines(symbol, interval, lookback):
url = “https://fapi.binance.com/fapi/v1/klines”
end_time = int(time.time() * 1000)
start_time = end_time - (lookback * 60 * 1000)
symbol = symbol.replace(‘/’, ‘’)
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}"
headers = {‘User-Agent’: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36’}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data:
print(f’No data found for {symbol} klines’)
return None
ohlc = []
for d in data:
timestamp = format_time(d[0])
ohlc.append({
‘Open time’: timestamp,
‘Open’: float(d[1]),
‘High’: float(d[2]),
‘Low’: float(d[3]),
‘Close’: float(d[4]),
‘Volume’: float(d[5])
})
df = pd.DataFrame(ohlc)
df.set_index(‘Open time’, inplace=True)