| Name | tefas JSON |
| Version |
1.0.1
JSON |
| download |
| home_page | https://github.com/atahanuz/tefas |
| Summary | Extract text from a YouTube video in a single command, using OpenAi's Whisper speech recognition model |
| upload_time | 2023-12-02 19:31:13 |
| maintainer | |
| docs_url | None |
| author | Atahan Uz |
| requires_python | |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# tefas
Github: https://github.com/atahanuz/tefas/
Get daily price data of 5 years from TEFAS, Turkey's exchange traded funds platform. (in Turkish: Yatırım Fonları) <br>
https://www.tefas.gov.tr
TEFAS doesn't provice an API for easy data retrieval, so the program uses Selenium to physically visit the website and scrape the data.
## Installation
```
pip install tefas
```
## Usage
```python
import tefas
data= tefas.get_data("AFT","MAC","TCD")
```
call tefas.get_data() function with the ETF names. You can pass a single or as many ETFs as you want.
You will get a Pandas dataframe with days as indexes and each ETFs daily prices as columns.
You can pass an optional verbose=False argument if you want to disable printing scraping progression to the console.
```python
import tefas
data= tefas.get_data("IPJ",verbose=False)
```
### Example Dataframe
<img src="https://i.imgur.com/0uSyTcH.png" width="50%" height="50%">
## Additional Features ?
Initially, I thougt about adding various data manipulation functions to the library. But to keep the library lightweight, I think it is enough to retrieve the dataframe. Because once the dataframe is ready, users can easily process the data according to their needs using the Pandas library.
Examples:
```python
import tefas
data= tefas.get_data("AFT","MAC","TCD")
# print the correlation matrix between ETFs
print(data.corr(),"\n")
#print total percentage return for each ETF
for column in data:
print(f"{column} total return: {data[column].iloc[-1] / data[column].iloc[0] * 100 - 100:.2f} %")
```
### Output
<img src="https://i.imgur.com/nKX6Idi.png" width="50%" height="50%">
## Contact
Raise an issue on the GitHub repo and I'll happily respond:
https://github.com/atahanuz/tefas/issues/new
<br>
*Disclaimer: This program doesn't provide any investment advice, it simply displays data based on user request.*
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"description": "# tefas\n\n\nGithub: https://github.com/atahanuz/tefas/\n\nGet daily price data of 5 years from TEFAS, Turkey's exchange traded funds platform. (in Turkish: Yat\u0131r\u0131m Fonlar\u0131) <br>\nhttps://www.tefas.gov.tr\n\nTEFAS doesn't provice an API for easy data retrieval, so the program uses Selenium to physically visit the website and scrape the data.\n\n\n\n\n## Installation\n```\npip install tefas\n```\n\n## Usage\n\n```python\nimport tefas\n\ndata= tefas.get_data(\"AFT\",\"MAC\",\"TCD\")\n```\ncall tefas.get_data() function with the ETF names. You can pass a single or as many ETFs as you want.\nYou will get a Pandas dataframe with days as indexes and each ETFs daily prices as columns.\n\nYou can pass an optional verbose=False argument if you want to disable printing scraping progression to the console.\n\n```python\nimport tefas\n\ndata= tefas.get_data(\"IPJ\",verbose=False)\n```\n\n### Example Dataframe\n<img src=\"https://i.imgur.com/0uSyTcH.png\" width=\"50%\" height=\"50%\">\n\n\n\n\n## Additional Features ?\n\nInitially, I thougt about adding various data manipulation functions to the library. But to keep the library lightweight, I think it is enough to retrieve the dataframe. Because once the dataframe is ready, users can easily process the data according to their needs using the Pandas library.\nExamples:\n\n```python\nimport tefas\n\ndata= tefas.get_data(\"AFT\",\"MAC\",\"TCD\")\n\n# print the correlation matrix between ETFs\nprint(data.corr(),\"\\n\")\n\n#print total percentage return for each ETF\nfor column in data:\n print(f\"{column} total return: {data[column].iloc[-1] / data[column].iloc[0] * 100 - 100:.2f} %\")\n```\n### Output\n<img src=\"https://i.imgur.com/nKX6Idi.png\" width=\"50%\" height=\"50%\">\n\n\n\n\n## Contact\nRaise an issue on the GitHub repo and I'll happily respond:\nhttps://github.com/atahanuz/tefas/issues/new\n<br>\n\n*Disclaimer: This program doesn't provide any investment advice, it simply displays data based on user request.*\n\n\n\n",
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