Ethereum: How to accelerate the analysis of Binance coin price
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When creating a robot that enters more orders on Binance, it is necessary to optimize your code for fast and reliable coin price analysis. In this article, we will examine the proven procedures to speed up the analysis process.
1. Use Syntax Async/Await
The gradual fragment of the code uses Syntax ASYNC SUB, which is not recommended for CPU -intensive operations such as pricing analysis. Instead, use the "Async/Await to write asynchronous code that is easier to read and maintain.
`Vbnet
Private async sub Timer1_tick ()
Malic price as decimal
Expect Pricepars () // Wait for bars surgery
Price = Awaiting Parsepriceasync ()
The ending
`
2. Use tasks instead of threads'
In .Net, "fibers" are not recommended for high -performance tasks such as pricing analysis. Instead, use "tasks" to start asynchronous background operations.
Vbnet
Private task Taskparseprice () as a task
Sub initialization ()
Taskparseprice = New Task.TryParsepriceanc ()
The ending
The role of parespriceasync () as decimal
`
3. Use heavily written language
VB.NET is not strongly type, which can lead to performance problems as a result of the need for Runtime control. Consider using C
or other heavily written languages such as JavaScript or Python.
`csharp
Public Class Priceparsertask: Task
{
Private reading IASYNCDISPOSABLE PROCEPARSER;
Public PriceParsertask (IASYNCDISPOSable Ceinparser)
{
this.priceparser = Priceparser;
}
Protected overwriting Async Valuetask Fintasync ()
{
ACAIT CENAPARSER.PARSERANC RETURN ();
}
}
4. Use a library with optimized analysis
There are libraries that optimize the analysis process, such as Ethers These libraries use advanced techniques such as memuration and storage in the cache to improve performance.
Javascript
constants = require (“ets”);
Const parser = require (‘./ sync);
Async function Pricepars () {
Const parser = new parser ();
Const price = waiting for parser.parsepriceasync ();
return;
}
`
5. Use CPU Garanteed API interface
If the performance is still critical, consider the use of the API interface with a guaranteed CPU, such as “binance-apior" binance-CPP ". These APIs are optimized for high -performance and provide a strong guarantee of their functionality.
Python
Import binance.client
API = binanceclient ()
Price = api.get_price (symbol = “BTCUSD”, Unit = “USD”)
`
By following these proven procedures, you should be able to significantly improve the performance of coin price analysis. Be sure to test your code in the production environment before deploying to live markets.
Example of use
——————-
Here is an updated example that combines Syntax “Async/Awaitand Library like Ethers.jsfor optimized analyzes:
Vbnet
Private async sub Timer1_tick ()
Malic price as decimal
Tasks.Tryparsepriceasync try.catch =>
Waiting for the prizeparsseasync (price) // use task.Tryparsepriceasync to analyze prices asynchronously
Price = Waiting for Parsepriceasync () // Use PARSEPRICEASYNC to analyze synchronous prices
The ending
Private function Priceparseasync (price as decimal) as a task
Dim parser = new etshers.parser
Return Parser.Parsepriceasync (Price)
End function
`
Note: Replace Etshers.parser for the actual library you use for analysis.
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