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Tehran Stock Exchange OSINT Tool for Python

Project description

Python version PyPi version PyPi downloads

This is just an Alpha release, So If you find it interesting or you encounter any bugs, I would appreciate if you let me know!

Overview

Currently there is no active well-documented API for TSE capital market out there. And this is a big obstacle to development of projects and studies based on this data. tfinance aimes to solve this problem by developing an OSINT tool to provide a reliable, threaded, and Pythonic way to access TSE’s historical data.

>> import tfinance as tfin
>> market = tfin.Market() # Initializes your local database - The first run on your system may take a few minutes(~It will download ~90MB of data.)

>> market.tickers.head()
                  id                    name  ...   sub_market   ticker_code
0  37661500521100963  توليد نيروي برق آبادان  ...  فهرست اوليه  IRO1NBAB0001
1  55254206302462116       آسان پرداخت پرشين  ...  فهرست اوليه  IRO1APPE0001
2  51106317433079213               بيمه آسيا  ...   تابلو اصلي  IRO1ASIA0001
3  14079693677610396  انتقال داده هاي آسياتك  ...  فهرست اوليه  IRO1ASTC0001
4  44834847569322522        كنتورسازيايران  ...   تابلو فرعي  IRO1CONT0001

>>foolad = tfin.Ticker(ticker="فولاد")
>> foolad.name
'فولاد مباركه اصفهان'
>> foolad.sector
'فلزات اساسي'

>> foolad.history.head()
            <TICKER> <DTYYYYMMDD>  <FIRST>  ...  <PER>   <OPEN>   <LAST>
0  S*Mobarakeh.Steel   2020-10-06  17700.0  ...      D  17860.0  18240.0
1  S*Mobarakeh.Steel   2020-10-05  17610.0  ...      D  18210.0  17700.0
2  S*Mobarakeh.Steel   2020-10-04  18760.0  ...      D  18710.0  18090.0
3  S*Mobarakeh.Steel   2020-10-03  18290.0  ...      D  17920.0  18810.0
4  S*Mobarakeh.Steel   2020-09-30  18170.0  ...      D  17500.0  18290.0
[5 rows x 12 columns]

Installation

The easiest way to install tfinance is from the Python Package Index using pip or easy_install:

$ pip install tfinance

License

https://img.shields.io/pypi/l/tfinance?color=green

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