quantumtw
This project is developed by TENG-LIN YU. You can contact me by following methods:
- Mail: tlyu0419@gmail.com
- Facebook: https://www.facebook.com/tlyu0419
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.
Ref packages
- Prophet
- FindMind
- FindLab
- 機器學習於量化交易的挑戰與解法 - 韓承佑 | MOPCON 2019
- How to label trade signals
- variables
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)
| File | Size | Uploaded | |
|---|---|---|---|
| quantumtw-0.0.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| 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 |
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|
BLAKE2b-256 checksum How to use checksums |
de0b9df3963a515f78934cabf59f1501da42c5777aceaaf6039305092e4da183
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| 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
|