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海盗船长HK / StockAnalysisSystem

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README
Apache-2.0

StockAnalysisSystem

This program is designed for Chinese market and Chinese accounting policies (currently). So this document will only provide Chinese version.

Gitee

https://gitee.com/SleepySoft/StockAnalysisSystem

Github

https://github.com/SleepySoft/StockAnalysisSystem

网盘下载:

应网友要求,对于网络访问受限的用户,提供网盘下载(离线数据同样在此下载):
链接: https://pan.baidu.com/s/1Xv3hq09-0-zAgJEk8dd4Gg
提取码: r11g

视频讲解

安装配置:https://www.bilibili.com/video/BV14z411b7AE/
设计与框架:https://www.bilibili.com/video/BV1nK411p7uD/

最近更新内容:

重新设计数据存储以期望提高速度

运行环境

  • 由于图表引入了pyqtgraph,导致pyinstaller打包出现问题,并且尝试py2exe也不成功,故暂停以EXE形式发布Release

只想看结果

  • 打开analysis_report.xlsx

大神看这里

  • 需要安装MongoDB
  • Python3.7,推荐Anaconda
  • requirements.txt你们懂的
  • 从main.py运行

新手看这里

  • 从网盘下载MongoDB及Anaconda并安装
  • 按WIN键,输入:“cmd”,选择用管理员运行命令行
  • 在命令行中执行命令:“conda create -n sas python=3.7”,需要确认就输入y回车
  • 如果提示找不到conda,请参考这篇文章,将你的anaconda加入到系统目录中:https://blog.csdn.net/u013211009/article/details/78437098
  • 如果一切正常,运行命令:“conda activate sas”,这时你的命令行会出现(sas)字样
  • 执行以下命令切换到代码目录:“cd "你的代码目录"”比如:cd "D:\Code\git\StockAnalysisSystem"
  • 切换到代码目录后运行命令:“pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple”
  • 如果提示pip版本太旧,按提示运行命令:“python -m pip install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple” 完成后再执行上一条命令
  • 最后一步,运行命令:“python main.py”

  • 以后运行只需要打开cmd并切换到代码目录(一个简单的方法,用文件管理器打开代码目录,在上方的地址栏直接输入cmd回车即可)
  • 先运行命令:“conda activate sas”
  • 再运行命令:“python main.py”

软件配置

当软件没检测到配置文件,会自动弹出配置窗口,配置如下:

  • NoSql相关

如果按默认安装,不需要改。否则根据实际情况修改mongodb配置。

  • Ts Token

如果不需要更新可以随便乱填,需要更新的话:
注册一个tushare的账号:https://tushare.pro/register?reg=271027
想办法获取500以上的积分(如果没有,无法更新数据,但可以使用离线数据):https://tushare.pro/document/1?doc_id=13
获取你的token并填入配置界面:https://tushare.pro/document/1?doc_id=39

  • MongoDB Bin

只和导入导出有关,选择本机的MongoDB的bin文件目录(默认目录大同小异,一般只是版本号不同)
从度盘下载离线数据(当前代码选择2.0的数据,唯一区别就是日数据每股一个表还是全部存在一个表中)并解压
挨个选择目录导入(StockAnalysisSystem,StockDaily,SasCache;顺序无关,后两个可选)
导入时下方会显示导入进度,如果没反映,请检查MongoDB目录是否正确

  • Proxy

只是为了我使用方便,没有的话就别管了

  • 以上步骤都做完后,建议重新程序(非必须),或手动刷新一下列表

联系作者

如果有任何意见及建议,或者对此项目感兴趣的,请联系我:
微博:SleepySoft
邮箱:sleepysoft##163.com
QQ群:931499339,进群验证码:SleepySoft
如果遇到BUG,可以给我发邮件,或直接在git上提交issue


本程序的目的

  1. 自动选择合适的数据抓取模块和数据源下载所需要的数据
  2. 数据抓取模块能够进行有效性检测,并且能够方便地扩充和替换,可以通过适配器接入其它的库
  3. 增加一个数据源以及将其本地化所需的代码应尽可能少
  4. 能进行离线分析
  5. 分析模块(策略模块)应该可以动态扩充和组合
  6. 最终能生成矩阵式excel报告:以证券为行,以分析方法为列,相交点为此分析方法对此证券的评分;最后一列为该证券的总分

功能说明

主要功能

  • 报告格式说明

报告为表格矩阵,以股票代码为列,以分析算法为行,相交格子为该算法对此股票的评分(0 - 100)

0:VETO
1 -50:FAIL
51 - 75:FLAW
76 - 90:WELL
91 - 100:PASS

结果分为两页,第一页为评分,第二页为分析算法输出的详细信息,以供人工核对及查阅
绿色为PASS,红色为FAIL,灰色为不适用,或因数据缺失导致无法分析
最后一列为总评分,在一行中,只要有一个评分为FAIL,则总评分为FAIL;如果不存在FAIL但存在灰色结果,则总评分为灰色的PASS
当前分析算法还不够完善,结果仅供参考,遇到和自己分析存在偏差的情况,请参阅详细信息并进行人工复核

扩展功能

  • Stock Memo

image image image


开发计划:

  • 接入更多数据

限售股解禁: https://tushare.pro/document/2?doc_id=160
回购数据
增减持数据: https://tushare.pro/document/2?doc_id=175
实际控制人数据(巨潮): http://webapi.cninfo.com.cn/#/dataBrowse?id=266

  • 加入更多分析算法

量价分析

  • 整合测试入口,执行一个文件即可运行所有测试
  • 加入实时数据
  • 盯盘
  • 投资图谱
  • 做成WebService,通过APP操作
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