A package that allows to perform analysis and check if a stock is bullish or bearish
1 maintainer
Metadata
1 maintainer
Release files for stock-analysis-trends 0.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| stock_analysis_trends-0.0.12.tar.gz | 2.4 kB | Without provenance | Details for stock_analysis_trends-0.0.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| stock_analysis_trends-0.0.12-py3-none-any.whl | Python 3 | none | any | Details for stock_analysis_trends-0.0.12-py3-none-any.whl |
Total release size: 4.9 kB
Release files / stock_analysis_trends-0.0.12.tar.gz
| Download URL | stock_analysis_trends-0.0.12.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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Release files / stock_analysis_trends-0.0.12-py3-none-any.whl
| Download URL | stock_analysis_trends-0.0.12-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
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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/4.0.2 CPython/3.9.13
|
Security for stock-analysis-trends 0.0.12
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None of the files in this release were uploaded with provenance metadata.
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