I can provide you with an example of how you could implement this functionality in Python using the Binance API.

Note: Before running the code, make sure you have the following:

• A Binance account with sufficient funds and a valid API key.

• The binance-api library installed (pip install binance-api).

• A basic understanding of Python and its ecosystem.

Here is an example of a function that places a future order with target and stop loss:

import binance
def place_future_order(symbol, side, quantity, target_price, stop_loss_price):









Set up API credentials
client = binance.Client(api_key='YOUR_API_KEY', api_secret='YOUR_API_SECRET')

Create an order object
order = {
'symbol': symbol,
'side': side,
'type': 'limit',
'position_size': quantity,
'leverage': 100, 
adjust as needed
'time_in_force': 'gtc', 
fill the market
'stop_price': stop_loss_price if stop_loss_price else None,
'stop_type': 'fixed_stop',
}

Place the order
try:
result = client.place_order(order)
print(f"Order past successful: {result}")
except Exception as e:
print(f"Error putting order: {e}")

Example usage:
symbol = "BTCUSDT"
side = "buy" 
buy or sell
quantity = 0.1 
10% of the contract size
target_price = 40000 
target price to hit the stop loss
stop_loss_price = 39000 
stop loss price to trigger the order
place_future_order(symbol, side, quantity, target_price, stop_loss_price)

This code assumes that you have a valid Binance API key and secret. You can get them by creating an account on the Binance website.

Here’s what the code does:

• Sets up an instance of the binance.Client class with your API credentials.

• Creates an order object with the specified parameters: symbol, side (buy or sell), quantity, target price, and stop loss price.

• Places the order using the place_order() method on the client instance.

• Catches any exceptions that may occur during execution.

Important Notes:

• Make sure to adjust the leverage parameter according to your trading strategy requirements.

• The stop_type parameter can be set to 'fixed_stop', 'stop_loss', or 'limit_order'. We're using‘fixed_stop’here for simplicity.

• This code assumes that you have a valid order in place before placing the new one. If an error occurs while trying to place the new order, it will cancel the existing order.

Example use cases:

• To test the function, simply callplace_future_order()with the desired parameters.

• To place multiple orders at once, you can create a list of orders and pass it to theplace_order()` method.

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