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algobot

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

시스템 구조

활용 데이터
암호화폐 거래소 시장 데이터가격/거래량 데이터
규칙 / 전략

저장소별 전략/실행 조건 확인 필요

실행

거래소 API 기반 자동 주문 실행

에디터 요약

저장소 설명과 공개 메타데이터 기준으로 Python 기반 구현, 암호화폐 거래 봇, 백테스트, 기술적 분석 성격의 프로젝트로 파악했습니다. 확인 근거는 README, 저장소 토픽, 저장소 설명, GitHub 지표, 파이프라인 필드이며, 주요 데이터는 암호화폐 거래소 시장 데이터, 가격/거래량 데이터입니다. 전략/실행 조건은 저장소별 문서와 코드 확인이 필요하며, 실행 방식은 "거래소 API 기반 자동 주문 실행"라고 보수적으로 기록했습니다. GitHub 지표는 별 953개, 포크 175개입니다.

저장소ZENALC/algobot
제작자ZENALC
스타 / 포크★ 953 / 175
라이선스GPL-3.0
최근 업데이트2023-02-11
스냅샷 시점2026-07-08 (아래 README는 이 시점의 사본입니다)

아래는 제3자가 작성·공개한 오픈소스 코드입니다. QuantField는 해당 코드의 동작과 안전성을 보증하지 않으며, 설치·실행 전 코드를 직접 검토하시기 바랍니다.

GitHub에서 보기 →

README

logo

CI CodeQL License: GPL v3 Python 3.7 Discord

Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote trading.

Algobot requires at least Python 3.7 and not over Python 3.9.

Installation

Once you have cloned or unpacked the source code locally, run the following commands from your terminal in that directory.

pip install pipenv
pipenv install

If your install fails, please make sure to have Visual Studio Build Tools installed.

Please note that Algobot requires TA-LIB. You can view instructions on how to download TA-LIB from here. For Windows users, it's best to download the .whl package for your Python install and pip install it. For Linux and MacOS users, there's excellent documentation available in the link provided above.

For Windows, it's easiest to perform the following:

  1. pipenv shell
  2. pip install <your .whl file>

You can find the .whl files here.

Execution

To start Algobot, run:

pipenv run bot

Set DEBUG=1 to enable debug level logging.

Community

Join our Discord today for contributions or help!

Features

  • View real time data.
  • Create graphs with real time data and/or moving averages.
  • Run simulations with parameters configured.
  • Run custom backtests with parameters configured.
  • Run live bots with parameters configured.
  • Telegram integration that allows users to trade or view statistics.
  • Create custom, trailing, or limit stop losses.
  • Create take profits.
  • Optimize your strategies using the built-in optimizer.
  • Ability to create your own custom strategies.

User Interface

Main Interface Configuration Graphs News

Disclaimer

Bot usage is as is. Algobot is not responsible for any financial burdens or unexpected monetary bugs or glitches.

License

GNU General Public License v3.0

Author

Mihir Shrestha

Contributors

koutsie, Malachi Soord (inverse)

Special Contributors

Peter Motin for being the founder and head of strategic development throughout the entirety of this project.

Contribution

Check our contributing guidelines to get started.

Feature Requests

For any feature requests, feel free to add a feature request through Github's Issues. We would love to hear your ideas and implement them on the application.

Wiki

You can find documentation regarding Algobot [here](https://github.com/ZENALC/algobot