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Ethereum: Limit Order Fills with Python-Binance API in Partially Filled Scenario

As a developer leveraging the Python-Binance API, you’ve likely encountered situations where your limit orders are only partially filled. This can be particularly challenging when working with large or complex market data.

Recently, I’ve been experimenting with using the
Python-Binance API to place buy orders for Ethereum trading. In my test environment, I’m utilizing the python-binance package version 1.0.15. To confirm that my limit orders were partially filled, I utilized the following code snippet:

import time

from binance.client import Client







Set up Binance API connection using Python-Binance

self._get_auth_client(account).order_limit_buy(

    symbol='ETHUSDT', 
Ethereum symbol (e.g., ETH/USD)

    side='Buy', 
Buy order type

    type='Limit', 
Order type (e.g., Limit Buy or Market Buy)

    quantity=10, 
Number of shares to buy (optional)

    timeInForce='GTC' 
Time-in-force for the order (e.g., Good Till Cancel)

)



Wait for the order execution

time.sleep(30) 
Adjust this value according to your needs


print("Order filled partially")

This code places a limit buy order on Ethereum, specifying that I want to buy 10 shares at $100 per share. The order_limit_buy method returns an object with various attributes, including the order ID and status. However, when using this API, you may encounter scenarios where your orders are only partially filled.

Partial Filling Explained

When your limit orders are partially filled, it means that some or all of the shares in the order are executed, while others remain unfilled. This can occur due to various market factors, such as:

• Order book liquidity

  

  : If the order book is thin, there may not be enough buyers willing to pay the current market price.

• Market volatility: Fluctuations in market prices or trading volumes can cause your orders to be partially filled or even canceled.

Mitigating Partial Fills

To minimize partial fills and ensure more accurate results, consider the following strategies:

• Increase order quantity: If possible, increase the quantity of shares you’re trying to buy to reduce the risk of partial fills.

• Use a larger time-in-force period: Specifying a longer time-in-force can help mitigate partial fills by giving your order more time to execute.

• Monitor market conditions: Keep an eye on market trends and adjust your strategy accordingly.

Conclusion

As you continue to develop with the Python-Binance API, keep in mind that limit orders may occasionally be partially filled due to various market factors. By understanding the potential causes of partial fills and implementing strategies to mitigate them, you can improve the accuracy and reliability of your trading results.

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