Crypto-Signal 正在参加 2021 年度 OSC 中国开源项目评选,请投票支持!
Crypto-Signal 在 2021 年度 OSC 中国开源项目评选 中已获得 {{ projectVoteCount }} 票,请投票支持!
2021 年度 OSC 中国开源项目评选 正在火热进行中,快来投票支持你喜欢的开源项目!
2021 年度 OSC 中国开源项目评选 >>> 中场回顾
Crypto-Signal 获得 2021 年度 OSC 中国开源项目评选「最佳人气项目」 !
授权协议 MIT License
开发语言 Python
操作系统 跨平台
软件类型 开源软件
开源组织
地区 不详
投 递 者 首席测试
适用人群 未知
收录时间 2021-12-24

软件简介

CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks https://github.com/CryptoSignal/Crypto-Signal

Development state: Beta (Code is stable, documentation is often lagging)

Join our community Discord channel! (2,100+ members)

Crypto Signals is a command line tool that automates your crypto currency Technical Analysis (TA). It is maintained by a community of traders, engineers, data scientists, PMs, & countless generous individuals who wish to democratize the equal & open access to the greatest wealth re-distribution experiment in human and monetary policy history - Bitcoin

Track over 500 coins across Bittrex, Binance, Bittrex, Bitfinex, Coinbase, Gemini and more!

(Subject to local financial regulations under the jurisdiction you and your financial activities are under. Marketing or enabling does not imply nor justify the facilitation or condoning of any activity - financial or otherwise. You assume and bare all risk. Be careful & act wisely.)

Technical Analysis Automated:

  • Momentum
  • Relative Strength Index (RSI)
  • Ichimoku Cloud (Leading Span A, Leading Span B, Conversion Line, Base Line)
  • Simple Moving Average
  • Exponential Moving Average
  • MACD
  • MFI
  • OBV
  • VWAP

Alerts:

  • SMS via Twilio
  • Email
  • Slack
  • Telegram
  • Discord

Features:

  • Modular code for easy trading strategy implementation
  • Easy install with Docker

You can build on top of this tool and implement algorithm trading and some machine learning models to experiment with predictive analysis.

Founded by Abenezer Mamo @ www.Mamo.io & www.linkedin.com/in/AbenezerMamo

Installing And Running

The commands listed below are intended to be run in a terminal.

  1. Install docker CE

  2. Create a config.yml file in your current directory. See the Configuring config.yml section below for customizing settings.

  3. In a terminal run the application. docker run --rm -v $PWD/config.yml:/app/config.yml shadowreaver/crypto-signal:master.

  4. When you want to update the application run docker pull shadowreaver/crypto-signal:master

Configuring config.yml

For a list of all possible options for config.yml and some example configurations look here

FAQ

Common Questions

Why does Tradingview show me different information than crypto-signal?

There are a number of reasons why the information crypto-signal provides could be different from tradingview and the truth is we have no way to be 100% certain of why the differences exist. Below are some things that affect the indicators that may differ between crypto-signal and tradingview.

  • tradingview will have more historical data and for some indicators this can make a big difference.

  • tradingview uses a rolling 15 minute timeframe which means that the data they are analyzing can be more recent than ours by a factor of minutes or hours depending on what candlestick timeframe you are using.

  • tradingview may collect data in a way that means the timeperiods we have may not line up with theirs, which can have an effect on the analysis. This seems unlikely to us, but stranger things have happened.

So if it doesn't match Tradingview how do you know your information is accurate?

Underpinning crypto-signal for most of our technical analysis is TA-Lib which is an open source technical analysis project started in 1999. This project has been used in a rather large number of technical analysis projects over the last two decades and is one of the most trusted open source libraries for analyzing candlestick data.

Liability

I am not your financial adviser, nor is this tool. Use this program as an educational tool, and nothing more. None of the contributors to this project are liable for any losses you may incur. Be wise and always do your own research.

We recommend you begin by learning the core principles used in traditional asset classes since they are less volatile & apply your knowledge in simulated trading before liquidating your dreams.

展开阅读全文

代码

评论

点击引领话题📣
暂无内容
发表了博客
{{o.pubDate | formatDate}}

{{formatAllHtml(o.title)}}

{{parseInt(o.replyCount) | bigNumberTransform}}
{{parseInt(o.viewCount) | bigNumberTransform}}
没有更多内容
暂无内容
发表了问答
{{o.pubDate | formatDate}}

{{formatAllHtml(o.title)}}

{{parseInt(o.replyCount) | bigNumberTransform}}
{{parseInt(o.viewCount) | bigNumberTransform}}
没有更多内容
暂无内容
0 评论
0 收藏
分享
OSCHINA
登录后可查看更多优质内容
返回顶部
顶部
返回顶部
顶部