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Trading/PythonForFinance

QuantConnect와 Binance와 HFT

by bents 2021. 2. 5.

공생가능한가?
QuantConnect 튜토리얼을 통해 파헤쳐보자! ( 유료다..) 

 

[github.com/QuantConnect/Lean/issues/3793]

자료에 따르면, CCXT가 공통 api를 만들어 130여개 암호화폐 거래소에 접근할 수 있다고 한다.

QuantConnect가 지원하지 않는 암호화폐 거래소는 QuantConnect의 개발가이드에 맞게 개발해서 써야 함. *LEAN 패키지 설치하면 내 개발환경에서 사용가능함.
- [설치방법] https://link.medium.com/yVWggKmHLdb

Setting Up Your Own Algorithmic Trading Server: A How-To Guide

How to have your own complete algorithmic trading development environment that pulls data and backtests a strategy

medium.com

- 바이낸스 거래소 연결 개발됨(2020.Oct.Notice)
https://www.quantconnect.com/blog/release-notes-v9194-v9449/

Autocomplete Python Stubs CI, Binance Exchange Integration, LEAN Speed Improvement – LEAN Release Notes v9194-v9449 | QuantCon

In the last 2 weeks the QuantConnect team has been focused on stability and bug fixes. Diving deep into some of the long lingering issues and publishing fixes for the along with additional regression tests to lock in that stability. We also surpassed 10,00

www.quantconnect.com


- [암호화폐 알고트레이딩 적용예제]
*QuantConnect가 지원하는 거래소 6개정도됨
https://github.com/QuantConnect/Lean/blob/master/Algorithm.Python/BasicTemplateCryptoAlgorithm.py

QuantConnect/Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python) - QuantConnect/Lean

github.com

- [암호화폐 알고트레이딩 커스텀예제]
데이터 송수신api만 바꾸면 사용가능할 듯...
https://github.com/QuantConnect/Lean/blob/master/Algorithm.Python/CustomDataBitcoinAlgorithm.py

QuantConnect/Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python) - QuantConnect/Lean

github.com

 

 

☆(첨부)찾다보니 발견한 블로그 글

[www.ddengle.com/develop/6670619]

퀀트를 하려는 사람들이 봐야하는 가장 기본적인 내용! 

- HFT는 c++만 함. python으로 안함.

분석툴
- R has tons of resources that you can make use of in order to learn how to build a strategy. My favorite blog covering the topic is: QuantStratTradeR  run by Ilya Kipnis.
- Microsoft Excel is most likely where you will start if you don’t have programming experience.
Excel for semi-automated trading but it’s not going to do the trick when it comes to building the full technology stack.