Ethereum: Python Binance market order issues

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Ethereum: Python Binance market questions

As a merchant, it is crucial to ensure that your algorithms perform the square with precision and reliability. However, I encountered a problem with my existing model that prevents me from sending me to market and selling orders via Python through Python. In this article I will present a problem and provide potential solutions.

Problem

My algorithm is designed to automatically set market orders on Ethereum exchanges like binance. The clip of the code below illustrates a simple example of how it works:

`Python

Importing time

Def Place_market_order (Order_type, Page):

URL = F ” (Exchange_Symbol = Mintval = 1m & Limit = 100″

Params = {

“Symbol”: Exchange_Symbol,

“Interval”: “1m”,

“Limit”: 100

Iche

try:

Answer = Requirements.get (URL, Headers = {“Content-Type”: “Application/Json”}, Params = Params)

Data = Answer.json ()

If Order_type == “Buy”:

for and in the range (len (data):

If data [i] [“Close”]> Price and Page == “Buy”:

Ethereum: Python Binance market order issues

Set the market order

Order_id = Data [I] [“ID”]

Trade_id = place_order (Order_id, Exchange_symbol, side)

Print (F “Order Successful: ORDER ID – {Trade_id}”)

Elif Order_type == “Sell”:

for and in the range (len (data):

If data [i] [“Close”]

Set an order to sell the market

Order_id = Data [i] [“ID”]

Trade_id = place_order (Order_id, Exchange_symbol, side)

Print (F “Order Successful: ORDER ID – {Trade_id}”)

In addition to the request.exception.requestexception as E:

Print (f “Request an exception: {e}”)

Def Place_order (Order_id, Symbol, Side):

Simulate the order

time.Sleep (1)

simulate delay of execution of trade

return order_id

Exchange_Symbol = “Eth-BTC”

Price = 2000.0

Current Price of Property

Side = “Buy”

Buy or Sell

Set the market Buy and sell orders

Place_market_order (“Buy”, side)

Place_market_order (“Sell”, Page)

`

In this clip of the code we are making a request for API Binans to download the historical market data for Ethereum. Then we repeat through the retrieved data and place the stores using our functionPlace_order`, which simulates the order by sleeping for 1 second.

Problem

However, I came across a problem with this clip of the code. The problem arises when performing multiple orders simultaneously or at short intervals (eg each millisecond). This can lead to:

  • overlapping crafts : more order can be installed at the same time, resulting in duplicates.

  • Order for Order

    : Orders are stuck in an endless loop if they are not immediately charged or canceled.

To solve this problem, I recommend implementing the following solutions:

  • The location of the series : Instead of setting individual orders, place each millisecond, collect multiple orders and place them in a particular interval (eg every 10 milliseconds). This will reduce the number of requests addressed to API.

  • Priority of the order : conduct the logic of the order priority to ensure that the high priority orders are first executed, reducing the likelihood of overlapping crafts or order of order.

Conclusion

In order to solve my Python Binance markets and prevent similar problems in the future, I plan to implement the series setting and order priority using Python. Doing this, I will reduce the risk of overlapping, waiting and other usual questions that may emerge from the execution of multiple orders at the same time or at short intervals.

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