https://github.com/51bitquant/51bitquant
51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
https://github.com/51bitquant/51bitquant
51bitquant algorithmic-trading ccxt cryptocurrency gekko high-frequency-trading klines marketmaker python quant quantitative-finance trading trading-bot trading-strategies tradingview vnpy
Last synced: 2 months ago
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51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
- Host: GitHub
- URL: https://github.com/51bitquant/51bitquant
- Owner: 51bitquant
- License: mit
- Created: 2019-06-09T09:45:36.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-04-28T15:41:46.000Z (about 1 year ago)
- Last Synced: 2024-05-18T21:42:39.623Z (about 1 year ago)
- Topics: 51bitquant, algorithmic-trading, ccxt, cryptocurrency, gekko, high-frequency-trading, klines, marketmaker, python, quant, quantitative-finance, trading, trading-bot, trading-strategies, tradingview, vnpy
- Language: Python
- Homepage: https://space.bilibili.com/401686908/video
- Size: 3.59 MB
- Stars: 758
- Watchers: 33
- Forks: 272
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Fullstack Developer (React.js, Python, Node.js)
Experienced software engineer with over five years in the industry, specializing in full-stack development. Core competencies include:Frontend: Extensive expertise in React.js, creating responsive and performant user interfaces
Backend: Strong proficiency in Python and Node.js for robust server-side applications
Full-stack: Seamlessly integrating frontend and backend technologies to deliver cohesive web solutions# python数字货币量化交易视频代码
youtube视频链接: [https://www.youtube.com/channel/UCjCMoRi4dZ6LRV2KL_RP8KQ/videos](https://www.youtube.com/channel/UCjCMoRi4dZ6LRV2KL_RP8KQ/videos)B站找到视频链接: [https://space.bilibili.com/401686908](https://space.bilibili.com/401686908)
## 币安合约交易快速下单软件下载
链接地址:https://share.weiyun.com/F03qTiin# 网易云课堂进阶课程
如果你想学习进阶的课程,可以看下一网易云课堂的视频: https://study.163.com/course/courseMain.htm?courseId=1209509824课程包含python基础知识, 网络请求REST API, Websocket, 回测、策略, 实盘交易,以及linux服务器都有讲解,目前课程已经更新完结。
你可以在网易云看下课程目录,非常的详细,适合入门和提高。具体可以网易云搜索51bitquant, 或者加我微信咨询:**bitquant51**# 马丁策略
1. 马丁策略可以基于howtrader进行开发, 具体策略可以参考: https://github.com/51bitquant/course_codes 下面的25/26/27课代码,相应的是视频可以参考网易云课堂的视频: https://study.163.com/course/courseMain.htm?courseId=1210904816
2. 另外多币种的马丁策略,强势币的马丁策略代码如下: https://github.com/51bitquant/multi_pairs_martingle_bot# 网格交易代码
https://github.com/ramoslin02/binance_grid_trader
网格交易的原理视频讲解链接:
[https://www.bilibili.com/video/BV1Jg4y1v7vr/](https://www.bilibili.com/video/BV1Jg4y1v7vr/)# 交易所注册推荐码
- OKEX 交易所注册推荐码, 手续费返佣**20%**
- [https://www.okex.me/join/1847111798](https://www.okex.me/join/1847111798)- 币安现货推荐码:返佣**20%**
- [https://www.binancezh.com/cn/register?ref=ESE80ESH](https://www.binancezh.com/cn/register?ref=ESE80ESH)- 币安合约推荐码:返佣10%
- [https://www.binancezh.com/cn/futures/ref/51bitquant](https://www.binancezh.com/cn/futures/ref/51bitquant)
**如果你的交易手续费比较多,你可以联系我,给你提供返佣的定制服务。添加微信: bitquant51 ***#网格交易策略使用行情
- 震荡行情
- 适合币圈的高波动率的品种
- 适合现货, 如果交易合约,需要注意防止极端行情爆仓。# 服务器购买
推荐ucloud的服务器
- 价格便宜
- 网络速度和性能还不错
- 推荐链接如下:可以通过下面链接够买服务器,可以享受打折优惠:[https://www.ucloud.cn/site/active/kuaijie.html?invitation_code=C1x2EA81CD79B8C#dongjing](https://www.ucloud.cn/site/active/kuaijie.html?invitation_code=C1x2EA81CD79B8C#dongjing)
视频讲解如下:
[https://www.bilibili.com/video/BV1eK4y147HT/](https://www.bilibili.com/video/BV1eK4y147HT/)# 部署服务器
参考我的博客
- [https://www.jianshu.com/p/50fc54ca5ead](https://www.jianshu.com/p/50fc54ca5ead)
- [https://www.jianshu.com/p/61cb2a24a658](https://www.jianshu.com/p/61cb2a24a658)
- [https://www.jianshu.com/p/8c1afcbbe722](https://www.jianshu.com/p/8c1afcbbe722)# linux 常用命令
- cd # 是切换工作目录, 具体使用可以通过man 指令 | 指令 --help
- clear
- ls # 列出当前文件夹的文件
- rm 文件名 # 删除文件
- rm -rf 文件夹 # 删除文件
- cp # 拷贝文件 copy
- scp scp binance_grid_trader.zip [email protected]:/home/ubuntu
- pwd
- mv # 移动或者剪切文件
- ps -ef | grep main.py # 查看进程
- kill 进程id # 杀死当前进程# 部署
直接把代码上传到服务器, 通过scp命令上传
- 先把代码压缩一下
- 通过一下命令上传到自己的服务器, **xxx.xxx.xxx.xxx**为你的服务器地址, **:/home/ubuntu**表示你上传到服务器的目录> scp binance_grid_trader.zip [email protected]:/home/ubuntu
安装软件 sudo apt-get install 软件名称 | 库
> sudo apt-get install unzip # pip install requests
解压文件
> unzip binance_grid_trader.zip进入该文件夹目录
> cd binance_grid_trader安装依赖包
> pip install -r requirements.txt执行运行脚本
> sh start.sh查看程序运行的id
> ps -ef | grep main.py杀死进程, 关闭程序
> kill <进程ID>**linux服务器指令和网格策略实盘部署过程如下**
[https://www.bilibili.com/video/BV1mK411n7JW/](https://www.bilibili.com/video/BV1mK411n7JW/)# 更多课程内容
请参考网易云课堂的视频
- [网易云课堂链接](https://www.jianshu.com/go-wild?ac=2&url=https%3A%2F%2Fstudy.163.com%2Fcourse%2FcourseMain.htm%3FcourseId%3D1209509824%26share%3D2%26shareId%3D480000001919830)
- 你也可以在网易云课堂直接搜索**51bitquant**可以找到课程视频。
# 联系我
可以添加我的微信,如果你有什么量化问题、python学习、课程咨询等方面的问题,都可以咨询我。