Forex trading bot development

import os
import telebot
import main
from dotenv import load_dotenv
load_dotenv()

API_KEY = os.environ.get('TELEGRAM_API_KEY')
bot = telebot.TeleBot(
    API_KEY, parse_mode=None)


@bot.message_handler(commands=['start', 'help'])
def greet(message):
    bot.reply_to(message, "Hey My G")


@bot.message_handler(commands=['btc', 'BTC', 'bitcoin', 'BITCOIN'])
def prices(message):
    bot.reply_to(message, main.get_cmc_data('BTC'))


@bot.message_handler(commands=['eth', 'ETH', 'ethereum', 'ETHEREUM'])
def prices(message):
    bot.reply_to(message, main.get_cmc_data('ETH'))


@bot.message_handler(commands=['wagmi', 'WAGMI'])
def prices(message):
    bot.reply_to(message, main.get_cmc_data('WAGMI'))


bot.polling()
print("bot running...")

import json
from telegram import Update
from telegram.ext import CallbackContext

def append_user_info_to_json(update: Update, context: CallbackContext, file_path='users.json'):
    user_info = {
        'chat_id': update.effective_chat.id,
        'first_name': update.effective_chat.first_name,
        'last_name': update.effective_chat.last_name,
        'username': update.effective_chat.username
    }

    try:
        # Load existing data
        with open(file_path, 'r') as file:
            data = json.load(file)
    except FileNotFoundError:
        # If the file doesn't exist, start a new list
        data = []

    # Append new data
    data.append(user_info)

    # Write updated data back to file
    with open(file_path, 'w') as file:
        json.dump(data, file, indent=4)


def start(update: Update, context: CallbackContext) -> None:
    # Append user info to JSON
    append_user_info_to_json(update, context)

import json

user_info_file_path = 'userinfo.json'

def save_user_info(chat_id, user_id, first_name, last_name, username):
    # Load existing user information from the file
    user_info = load_user_info()

    # Add or update user information
    user_info[user_id] = {
	"user_id": user_id,
	"username": username,
    "chat_id": chat_id,
    "first_name": first_name,
    "last_name": last_name
    }

    # Save the updated user information back to the file
    with open(user_info_file_path, 'w') as file:
        json.dump(user_info, file)

def load_user_info():
    try:
        # Load user information from the file
        with open(user_info_file_path, 'r') as file:
            return json.load(file)
    except FileNotFoundError:
        # If the file doesn't exist yet, return an empty dictionary
        return {}

const [touchStart, setTouchStart] = useState(null)
const [touchEnd, setTouchEnd] = useState(null)

// the required distance between touchStart and touchEnd to be detected as a swipe
const minSwipeDistance = 50 

const onTouchStart = (e) => {
  setTouchEnd(null) // otherwise the swipe is fired even with usual touch events
  setTouchStart(e.targetTouches[0].clientX)
}

const onTouchMove = (e) => setTouchEnd(e.targetTouches[0].clientX)

const onTouchEnd = () => {
  if (!touchStart || !touchEnd) return
  const distance = touchStart - touchEnd
  const isLeftSwipe = distance > minSwipeDistance
  const isRightSwipe = distance < -minSwipeDistance
  if (isLeftSwipe || isRightSwipe) console.log('swipe', isLeftSwipe ? 'left' : 'right')
  // add your conditional logic here
}

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Take Crypto Trading to the Next Level with Beleaftechnologies!
At Beleaftechnologies, we specialize in developing advanced Crypto Algo Trading Bots customized to optimize your trading strategies.  These bots leverage innovative algorithms, AI, and real-time analytics to ensure precision, efficiency, and consistent profitability.
Our solutions are customizable, secure, and compatible with various crypto exchanges, enabling smooth  integration for traders of all levels. Whether you're a beginner or a pro, we deliver tools to maximize returns in the ever-evolving crypto market.
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Whatsapp :  +91 8056786622
Email id :  business@beleaftechnologies.com
Telegram : https://telegram.me/BeleafSoftTech 

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def print_data_chart():
    data = pd.read_csv("USDCAD.csv")
    chart_data = go.Candlestick(x=data['time'], open=data['open'], high=data['high'], low=data['low'], close=data['coose'])

Why Choose Dappfort?
  
Tailored Solutions: Dappfort works closely with clients to understand their unique needs, providing bots that are custom-built to fit specific trading goals and risk profiles.
Scalability: Whether you're a small trader or a large financial institution, Dappfort’s bots are built to scale, handling large volumes of trades across multiple exchanges with ease.

Advanced Analytics: Dappfort’s bots come with built-in analytics tools that track and display performance metrics, helping users make data-driven decisions and optimize strategies over time.

Ongoing Support: Dappfort provides continuous support and updates, ensuring that the bots remain effective and secure as market conditions evolve.

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