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Ethereum: Limit Order Fills with Python-Binance API in Partially Filled Scenario
As a developer utilizing the Python-Binance API, you have likely encountered situations where your limit orders are only partially filled. This can be especially challenging when working with large or complex market data.
I have recently been experimenting with using the
Python-Binance API to place buy orders for Ethereum trading. In my test environment, I am using version 1.0.15 of the python-binance package. To confirm that my limit orders were partially filled, I used the following code snippet:
import time
binance.client from the import client
Configure Binance API connection using Python-Binanceself._get_auth_client(account).order_limit_buy(
symbol='ETHUDT',
Ethereum symbol (e.g. ETH/USD)side='Buy',
Buy order typetype='Limit',
Order type (e.g. Limit Buy or Market Buy)quantity = 10,
number of shares to buy (optional)timeInForce='GTC'
Order validity period (e.g. Good Till Cancel))
Wait for the order to executetime.sleep(30)
Adjust this value to suit your needsprint ("Order partially filled")
This code places a limit buy order on Ethereum and specifies that I want 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 order is only partially filled.
Partial Fill Explained
When your limit order is partially filled, it means that some or all of the shares in the order are executed, while others remain unfilled. This can be due to a number of market factors, including:
- 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 order 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 number of shares you are buying to reduce the risk of partial fills.
- Use a higher expiration
: Setting a longer expiration can help reduce partial fills by giving your order more time to execute.
- Monitor Market Conditions: Keep an eye on market developments and adjust your strategy accordingly.
Conclusion
As you continue to develop the Python-Binance API, keep in mind that limit orders can sometimes be partially filled due to a variety of 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.