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To create a Telegram bot that integrates with TradingView for sending notifications about cryptocurrency market data, here's how you can approach it:

Step 1: Create a Telegram Bot
Bot Setup with BotFather:
Open Telegram and search for @BotFather.
Start a chat and use the command /newbot to create a new bot.
Follow the prompts to name your bot and get a unique username. You will receive an API token which is crucial for interacting with the Telegram Bot API.

Step 2: Set Up Your Development Environment
Install Python: If you haven't already, install Python 3.x.
Install Required Libraries:
pip install pyTelegramBotAPI (telebot)
pip install tradingview-ta for TradingView's technical analysis indicators.

Step 3: Coding the Bot
Here's a basic outline of what your Python script might look like:

python
import telebot
from tradingview_ta import TA_Handler, Interval

# Replace 'YOUR_API_TOKEN' with your actual Telegram bot API token
bot = telebot.TeleBot('YOUR_API_TOKEN')

# Define a handler for specific cryptocurrency. Here, we use Bitcoin as an example
handler = TA_Handler(
    symbol="BTCUSDT",
    screener="crypto",
    exchange="BINANCE",
    interval=Interval.INTERVAL_1_HOUR
)

@bot.message_handler(commands=['start', 'help'])
def send_welcome(message):
    bot.reply_to(message, "Welcome! Send /check to get the latest crypto market data.")

@bot.message_handler(commands=['check'])
def check_market(message):
    analysis = handler.get_analysis()
    summary = analysis.summary
    
    # Format the message
    bot_message = f"""
    **Current Market Status for {handler.symbol}:**
    - **Recommendation:** {summary['RECOMMENDATION']}
    - **Price:** {analysis.indicators['close']}
    - **High/Low:** {analysis.indicators['high']} / {analysis.indicators['low']}
    """
    bot.reply_to(message, bot_message)

# Start the bot
bot.polling(none_stop=True)

Step 4: Implementing Notifications for Market Changes
Real-time Updates: TradingView doesn't offer real-time data through its public API for crypto; however, you can set up alerts within TradingView to trigger webhooks. 
In TradingView, set up an alert for your desired conditions (e.g., price hits a certain high or low). Configure this alert to send a webhook to your server.
Your Python script can then listen for these webhooks and use them to send messages through Telegram.
Webhook Handling: You'll need to set up a simple server to receive these webhooks. Flask can be used for this:

python
from flask import Flask, request

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def handle_webhook():
    data = request.json
    # Process the data, perhaps check for specific conditions or symbols
    bot.send_message(CHAT_ID, f"Market Alert: {data['message']}")
    return "success"

Step 5: Deployment
Deploy your bot script and the webhook listener on a server that supports Python and has 24/7 uptime like AWS, Heroku or DigitalOcean.

Additional Tips:
Security: Ensure your bot token and any API keys are stored securely, possibly as environment variables or in a configuration file not committed to version control.
Error Handling: Add try-except blocks to handle potential errors gracefully, especially network or API-related issues.
Performance: If you're dealing with many users, consider scaling your solution or optimizing for performance.

By following these steps, you'll have a basic Telegram bot sending notifications based on TradingView's data. However, for real-time market data, you might need to look into paid APIs or more complex setups with market data providers. Remember, the integration with TradingView for real-time alerts would require premium features or additional market data services.