Ethereum: Need help in python code for Binance future order

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

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

  • Binance account with sufficient funds and a valid API key.
  • Installed binance-api library (pip install binance-api).
  • Basic understanding of Python and its ecosystem.

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

import binance

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




Ethereum: Need help in python code for Binance future order

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 an order

try:

result = client.place_order(order)

print(f"Order placed successfully: {result}")

except Exception as e:

print(f"Order placed failed: {e}")


Usage example:

symbol = "BTCUSDT"

side = "buy"

buy or sell

quantity = 0.1

10% of contract size

target_price = 40000

target price to hit stop loss

stop_loss_price = 39000

stop loss price to trigger order

place_future_order(symbol, side, quantity, target_price, stop_loss_price)

This code assumes you have a valid Binance API key and secret. You can get it 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 to suit your trading strategy’s requirements.
  • The stop_type parameter can be set to 'fixed_stop', 'stop_loss', or 'limit_order'. Here we use‘fixed_stop’for simplicity.
  • This code assumes you have a valid order before placing a new one. If an error occurs while trying to place a new order, the existing order will be canceled.

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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