Skip to main content

Python Tinkoff API client for asyncio and humans

Project description

tinkoff-api

Python Tinkoff API client for asyncio and humans.

build Latest Version Python Version License Code style: black

Table of contens

Covered APIs

Features

  • Clients for both REST and Streaming protocols in Tinkoff Investments
  • Presence of data classes for all interaction with API
  • Automatic reconnection and keep-alive connections
  • Internal exclusive rate limiter for every resource in REST protocol
  • Friendly exceptions for API errors

Installation

Use pip to install:

$ pip install tinkoff-api

Usage examples

REST API client:

import asyncio
from datetime import datetime
from tinkoff.investments import (
    TinkoffInvestmentsRESTClient,
    Environment,
    CandleResolution,
)
from tinkoff.investments.client.exceptions import TinkoffInvestmentsError


async def show_apple_year_candles():
    try:
        async with TinkoffInvestmentsRESTClient(
            token="TOKEN", environment=Environment.SANDBOX
        ) as client:

            candles = await client.market.candles.get(
                figi="BBG000B9XRY4",
                dt_from=datetime(2019, 1, 1),
                dt_to=datetime(2019, 12, 31),
                interval=CandleResolution.DAY,
            )
            for candle in candles:
                print(f"{candle.time}: {candle.h}")
    except TinkoffInvestmentsError as e:
        print(e)


async def jackpot():
    try:
        async with TinkoffInvestmentsRESTClient(
            token="TOKEN", environment=Environment.SANDBOX
        ) as client:

            instruments = await client.market.instruments.search("AAPL")
            apple = instruments[0]

            account = await client.sandbox.accounts.register()
            await client.sandbox.accounts.positions.set_balance(
                figi=apple.figi,
                balance=100,
                broker_account_id=account.brokerAccountId,
            )

            print("We created the following portfolio:")
            positions = await client.portfolio.get_positions()
            for position in positions:
                print(f"{position.name}: {position.lots} lots")
    except TinkoffInvestmentsError as e:
        print(e)


asyncio.run(jackpot())

Streaming Client:

import asyncio
from datetime import datetime
from tinkoff.investments import (
    CandleEvent,
    CandleResolution,
    TinkoffInvestmentsStreamingClient,
)

client = TinkoffInvestmentsStreamingClient(token="TOKEN")


@client.events.candles("BBG009S39JX6", CandleResolution.MIN_1)
@client.events.candles("BBG000B9XRY4", CandleResolution.MIN_1)
async def on_candle(candle: CandleEvent, server_time: datetime):
    print(candle, server_time)


asyncio.run(client.run())

Dynamic subscriptions in runtime:

import asyncio
from datetime import datetime
from tinkoff.investments import (
    CandleEvent,
    CandleResolution,
    TinkoffInvestmentsStreamingClient,
)

client = TinkoffInvestmentsStreamingClient(token="TOKEN")


@client.events.candles("BBG000B9XRY4", CandleResolution.HOUR)
async def on_candle(candle: CandleEvent, server_time: datetime):
    if candle.h > 1000:
        await client.events.candles.subscribe(
            callback=on_candle,
            figi=candle.figi,
            interval=CandleResolution.MIN_1,
        )
    elif candle.h < 1000:
        await client.events.candles.unsubscribe(
            candle.figi, CandleResolution.MIN_1
        )


asyncio.run(client.run())

Complete simple bot:

import asyncio
from datetime import datetime

from tinkoff.investments import (
    CandleEvent,
    CandleResolution,
    OperationType,
    TinkoffInvestmentsRESTClient,
    TinkoffInvestmentsStreamingClient,
)

streaming = TinkoffInvestmentsStreamingClient("TOKEN")
rest = TinkoffInvestmentsRESTClient("TOKEN")


@streaming.events.candles("BBG000B9XRY4", CandleResolution.MIN_1)
async def buy_apple(candle: CandleEvent, server_time: datetime):
    if candle.c > 350:
        await rest.orders.create_market_order(
            figi="BBG000B9XRY4",
            lots=1,
            operation=OperationType.BUY,
            broker_account_id=123,
        )


asyncio.run(streaming.run())

Historical data:

import asyncio
from datetime import datetime

from tinkoff.investments import (
    CandleResolution,
    Environment,
    TinkoffInvestmentsRESTClient,
)
from tinkoff.investments.utils.historical_data import HistoricalData


async def get_minute_candles():
    # show 1 minute candles for AAPL in 1 year period of time
    async with TinkoffInvestmentsRESTClient(
        token="TOKEN", environment=Environment.SANDBOX
    ) as client:
        historical_data = HistoricalData(client)
        async for candle in historical_data.iter_candles(
            figi="BBG000B9XRY4",
            dt_from=datetime(2019, 1, 1),
            dt_to=datetime(2020, 1, 1),
            interval=CandleResolution.MIN_1,
        ):
            print(candle)


asyncio.run(get_minute_candles())

TODO

  • allow to provide str constants along with specific enum objects
  • add ability to unsubscribe by pattern
  • rename some fields
  • make some fields in snake case
  • generate documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tinkoff-api-1.14.tar.gz (17.2 kB view details)

Uploaded Source

File details

Details for the file tinkoff-api-1.14.tar.gz.

File metadata

  • Download URL: tinkoff-api-1.14.tar.gz
  • Upload date:
  • Size: 17.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

File hashes

Hashes for tinkoff-api-1.14.tar.gz
Algorithm Hash digest
SHA256 9804c05f2ec5f563f78d3f8c65ef2f47aaae31585eb4264f29e0bb7b0969e2ca
MD5 2683fa48f4d1d4aea58f9ecbfa3b5177
BLAKE2b-256 0f3d08a3d4126e0089a40d79f1da63fde659e3739f909b43d1f56f0a832230b8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page