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TW-finance-analysis

This project aim to analysis&predict the trend of Taiwan's finance

2022/9/4

  • fix the problem mention yesterday
  • turn the xAxis label on the chart from float to string
  • next
    • try linear regression using x: FF Diff, y: TAIEX Diff

2022/9/3

  • add TAIEX Open Diff into chart
  • found problem
    • the data of Friday will be scratch 3 times, probably the try catch in get_TAIEX_daily.py have some issue.(Expected not to scratch any data on weekend)

2022/8/29

  • add tab in frontend

2022/8/23

  • long time no see

2022/5/30

  • success using serve.js to serve the build version of react frontend
  • if calling api directly by url, need to run flask with --host=0.0.0.0

2022/5/25

  • Fail to call api to backend by directly embed url in homepage without setupProxy

2022/2/8

  • Setup the scratching routine for scratching TAIEX and Foreign-Fund on linux8
  • No need to deploy advanced server on linux8, npm start is sufficient

2022/1/31

  • Know how to automatically build and run the frontend
  • Switch the server code(included jenkins server) to linux8.
  • Next to do
    • deploy the server using advanced server tools(e.g. Apache).

2022/1/28

  • Sucessful deal with webhook that emission when push to repo and trigger the build on jinken server.

2022/1/27

  • Finish the deployment of Jenkins pipeline on Oasis3 server that can automatic update the git repo. when run the pipeline.

2021/9/9

  • Use last 7 days diff as features to predict (tommorow's open - today's close), result still not good

2021/7/6

  • try to train a linear regression model for predicting the difference btw today's Close and tmr's Open, but performance not good yet
    • need to collect more featrues

2021/7/2

  • build the TAIEX-Open vs. Foreign-Fund-Diff figure on frontend
  • generate the label for predicting tommorow Open

2021/7/1

  • add get-TAIEX-from-twse.py to get TAIEX from 20200601 ~ 20210630
  • Plan to build a Web APP that can visualize some analysis of TW finace
    • add main.py for the backend

2021/5/26

  • coplete the auto dowload data file, add many anti-reptile detection method
    • random delay
    • add header
    • random user-agent

2021/5/25

  • add the auto download data from twse function by file "get_data_from_twse.py"

2021/5/24

  • directly get data from the twse website, but been banned due to frequently requesting.
  • Should download the file to local and read the csv file, instead of directly get the data from web url.

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This project aim to analysis & predict the trend of Taiwan's finance

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