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1. Create a new project on Google Cloud Console and enable the Google Cloud Translation API. This will allow you to use the API key to access the Binance exchange.

2. Create a new virtual machine instance on the Google Cloud Platform. Choose an instance type that meets the requirements of the trading bot, for example a n1-standard-1.

3. Connect to the virtual machine instance using SSH. You can do this by clicking on the SSH button in the GCP console or by using the gcloud compute ssh command in the command line.

4. Install the dependencies for the trading bot by running the following command in the terminal:

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pip install ccxt pandas sklearn

5. Create a new file for the trading bot, for example “ai_trading_bot.py” and copy the code provided earlier into the file.

6. Replace ‘YOUR_API_KEY’ and ‘YOUR_SECRET’ with your Binance API Key and secret key

7. Save the changes made to the file and run the bot with this command:

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python ai_trading_bot.py

8. Monitor the bot’s performance by checking the output in the terminal, and by monitoring the order status in the Binance exchange.

The code below:

import ccxt
import time

Instantiate the Binance exchange object

exchange = ccxt.binance({
‘rateLimit’: 1500,
‘enableRateLimit’: True,
‘apiKey’: ‘YOUR_API_KEY’,
‘secret’: ‘YOUR_SECRET_KEY’,
})

Define the symbol and trading parameters

symbol = ‘BTC/AUD’
take_profit = 0.00005
stop_loss = 0.00001

while True:
# Get the account balance
balance = exchange.fetch_balance()[‘BTC’][‘free’]# Get the current market price ticker = exchange.fetch_ticker(symbol) price = ticker['last'] # Calculate the number of BTC to trade amount = balance * 0.99 # Place the trade order = exchange.create_market_buy_order(symbol, amount) # Set the stop loss and take profit exchange.create_stop_loss_order(symbol, 'market', 'sell', amount, price * (1 - stop_loss)) exchange.create_take_profit_order(symbol, 'market', 'sell', amount, price * (1 + take_profit)) # Wait for the trade to fill while order['status'] != 'closed': order = exchange.fetch_order(order['id'], symbol) time.sleep(1) # Print a message to indicate the trade has closed print(f'Trade closed. Profit/Loss: {order["profit"]}')