Ethereum: Binance Multithread Sockets – Functions Not Called Concurrently

Binance multithreaded sockets provide a way to receive real-time market data from the Binance API in parallel, allowing for efficient and concurrent access to the data. However, this can lead to issues if not handled properly.

Concurrency

When using multithreaded sockets, it is important to ensure that all threads are properly synchronized to prevent deadlocks and other concurrency issues. One common issue is when multiple threads attempt to call functions simultaneously without proper synchronization, resulting in unexpected behavior or errors.

There are a few potential issues with the provided code snippet:

• Calling the asyncio.gather() function: The asyncio.gather() function is used to wait for all tasks to complete and then return them as an iterator. While this can be useful in certain scenarios, it may not be the most efficient way to manage concurrency in this case.

import asyncio
async def analysis(res):





Perform analysis on received data
return await process_analysis(res)
async def main():
client = AsyncClient(binance_url="
tasks = []
for symbol pair in symbol_pair:
task = asyncio.create_task(analyze(res=pair))
tasks.append(task)
results = await asyncio.gather(*tasks)

Process results
process_results(results)
async def main():

Define symbol pairs to analyze
symbol_pair = [("AAPL", "USD"), ("BTCUSDT", "Btcusdt")]

Perform analysis and processing for each pair
await asyncio.gather(*[analyze(res=pair) for pair symbol_pair])

Run the main function
asyncio.run(main())

• We use asyncio.create_task` to create a new task for each iteration of the loop. This allows us to properly manage concurrency.

• Finally, we process the results by calling “process_results”, which is not shown in this code snippet, but is usually used to perform something on the received data.

By following these guidelines and using the async/await syntax, we can ensure that our code is properly synchronized and concurrent, minimizing the risk of problems and errors.

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