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quantumtw

This project is developed by TENG-LIN YU. You can contact me by following methods:

requirements

  • pip install requirements

query_date

Unlike twstock packages, it requests the data by session.get() so that we don't need to sleep 5 seconds for each request. Notice: You can't query data by the browser while running this function, or you will be banned by the website.

  • query Highlights of Daily Trading
  • query singal stock
  • query Top 150 stocks
  • query specific stocks.

trade_signals

  • by Machine Learning model

    • timeseries
  • by Domains

  • Visualize Result

News

  • Yahoo market

Notification

  • Mail
    • If you only want to receive the result, you can send mail to me, and then I will send mail to you daily:)

Announcement

It's just a toy project, the prediction of the stock price is based on historical data, but in fact, many circumstances could affect the stock price. 2610 is a bad example; another is a good example so the project only offers trade signals; you need to consider other information and then buy or sell your stock.

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Metadata

Release files for quantumtw 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for quantumtw 0.0.1
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quantumtw-0.0.1.tar.gz 3.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for quantumtw 0.0.1
File Interpreter ABI Platform
quantumtw-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 5.9 kB

Release files / quantumtw-0.0.1.tar.gz

Download URL quantumtw-0.0.1.tar.gz
Size 3.0 kB
Tags Source
SHA-256 checksum
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22377d6795602787c79b03d9b452b27d7b2177b85295c4ea250e28e5b6d5d2a0
BLAKE2b-256 checksum
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cb6a08437f7a5046fba362253b4174963ee10f8dc1caa500d8232b6bec02c7a8
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Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

Release files / quantumtw-0.0.1-py3-none-any.whl

Download URL quantumtw-0.0.1-py3-none-any.whl
Size 2.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4323dbb4c251b3b87625177a2bca5a6c8a4fc8488608360107b03c3dedbfd413
BLAKE2b-256 checksum
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de0b9df3963a515f78934cabf59f1501da42c5777aceaaf6039305092e4da183
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
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Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

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This release

0.0.1 This release

2 release files

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