.. image:: https://github.com/5j9/tsetmc/actions/workflows/pytest.yml/badge.svg :alt: Pytest Status :target: https://github.com/5j9/tsetmc/actions/workflows/pytest.yml

An async Python library to fetch data from https://tsetmc.com/.

Installation

Requires Python 3.13 or later.

pip install tsetmc

Overview

Let's start with a simple script:

.. code-block:: python

import asyncio

from tsetmc.instruments import Instrument


async def main():
    inst = await Instrument.from_l18('فملی')
    info = await inst.info()
    print(info)


asyncio.run(main())

The Instrument class provides many methods for getting information about an instrument. The following code blocks try to demonstrate some of its capabilities.

Note: You need an asyncio capable REPL, like python -m asyncio or IPython_, to run the following code samples, otherwise you'll have to run them inside an async function like the sample code above.

.. code-block:: python

>>> from tsetmc.instruments import Instrument
>>> inst = await Instrument.from_l18('فملی')
>>> await inst.info()
{'eps': {'epsValue': None,
  'estimatedEPS': '721',
  'sectorPE': 12.02,
  'psr': 1472.8279},
 'sector': {'dEven': 0, 'cSecVal': '27 ', 'lSecVal': 'فلزات اساسی'},
 'staticThreshold': {'insCode': None,
  'dEven': 0,
  'hEven': 0,
  'psGelStaMax': 8270.0,
  'psGelStaMin': 7190.0},
 'minWeek': 7630.0,
 'maxWeek': 7970.0,
 'minYear': 4630.0,
 'maxYear': 10670.0,
 'qTotTran5JAvg': 179233329.0,
 'kAjCapValCpsIdx': '43',
 'dEven': 0,
 'topInst': 1,
 'faraDesc': '',
 'contractSize': 0,
 'nav': 0.0,
 'underSupervision': 0,
 'cValMne': None,
 'lVal18': 'S*I. N. C. Ind.',
 'cSocCSAC': None,
 'lSoc30': None,
 'yMarNSC': None,
 'yVal': '300',
 'insCode': '35425587644337450',
 'lVal30': 'ملی\u200c صنایع\u200c مس\u200c ایران\u200c',
 'lVal18AFC': 'فملی',
 'flow': 1,
 'cIsin': 'IRO1MSMI0000',
 'zTitad': 600000000000.0,
 'baseVol': 15584416,
 'instrumentID': 'IRO1MSMI0001',
 'cgrValCot': 'N1',
 'cComVal': '1',
 'lastDate': 0,
 'sourceID': 0,
 'flowTitle': 'بازار بورس',
 'cgrValCotTitle': 'بازار اول (تابلوی اصلی) بورس'}

Getting the latest price information:

.. code-block:: python

>>> await inst.closing_price_info()
{'instrumentState': {'idn': 0,
  'dEven': 0,
  'hEven': 0,
  'insCode': None,
  'cEtaval': 'A ',
  'realHeven': 0,
  'underSupervision': 0,
  'cEtavalTitle': 'مجاز'},
 'instrument': None,
 'lastHEven': 170725,
 'finalLastDate': 20230524,
 'nvt': 0.0,
 'mop': 0,
 'thirtyDayClosingHistory': None,
 'priceChange': 0.0,
 'priceMin': 7630.0,
 'priceMax': 7900.0,
 'priceYesterday': 7730.0,
 'priceFirst': 7750.0,
 'last': True,
 'id': 0,
 'insCode': '0',
 'dEven': 20230524,
 'hEven': 170725,
 'pClosing': 7700.0,
 'iClose': False,
 'yClose': False,
 'pDrCotVal': 7670.0,
 'zTotTran': 7206.0,
 'qTotTran5J': 84108817.0,
 'qTotCap': 648015842640.0}

Getting the daily trade history for the last n days: (as a DataFrame)

.. code-block:: python

>>> await inst.daily_closing_price(n=2)
   priceChange  priceMin  priceMax  ...  zTotTran  qTotTran5J       qTotCap
0         30.0    7490.0    7600.0  ...    4555.0  75649965.0  5.689944e+11
1         10.0    7500.0    7590.0  ...    4614.0  83570336.0  6.276337e+11
[2 rows x 17 columns]

Getting adjusted daily prices:

.. code-block:: python

>>> await inst.price_history(adjusted=True)
             pmax   pmin     pf     pl       tvol     pc
date
2007-02-04     45     41     45     42  172898994     42
2007-02-05     43     43     43     43   10826496     43
2007-02-06     44     44     44     44   26850133     44
2007-02-07     45     45     45     45   31086849     45
2007-02-10     45     45     45     45   40645528     45
           ...    ...    ...    ...        ...    ...
2021-07-12  13340  12840  13110  12860  106208763  13020
2021-07-13  13010  12640  12840  12680   66812306  12770
2021-07-14  12830  12450  12540  12690   70277940  12670
2021-07-17  12960  12550  12800  12640   68542961  12750
2021-07-18  12880  12530  12600  12630   88106162  12650
[3192 rows x 6 columns]

Getting intraday data for a specific date:

.. code-block:: python

>>> await inst.on_date(20210704).states()  # a dataframe:
   idn  dEven  hEven insCode cEtaval  realHeven  underSupervision cEtavalTitle
0    0      0      1       0      A       94838                 0         None

Searching for an instrument:

.. code-block:: python

>>> await Instrument.from_search('چادرملو')
Instrument(18027801615184692, 'کچاد')

The instruments.price_adjustments function gets all the price adjustments for a specified flow.

The market_watch_ module contains several function to fetch market watch data. They include:

market_watch_init
market_watch_plus
closing_price_all
client_type_all
key_stats
ombud_messages
status_changes

Use market_watch.MarketWatch for watching the market. Here is how:

.. code-block:: python

from asyncio import new_event_loop

from tsetmc.market_watch import MarketWatch


async def listen_to_update_events():
    while True:
        await market_watch.update_event.wait()
        df = market_watch.df
        print(df.at['35425587644337450', 'pl'])  # last price of فملی


market_watch = MarketWatch()
loop = new_event_loop()
watch_task = loop.create_task(listen_to_update_events())
loop.run_until_complete(market_watch.start())

There are many other functions and methods that are not covered here. Explore the codebase to learn more.

To keep the offline dataset up-to-date, run the tsetmc.dataset.update() function periodically (e.g., daily). This dataset acts as a cache for basic information about common instruments.

If you are interested in other information available on tsetmc.com that this library has no API for, please open an issue_ for them.

Tsetmc

Install / Use

README

Installation

Overview

See also