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Description:

apit212 3.0.1

Apit212
This is a Pyhton based API using selenium and requests to get information from the trading212 Platform, please note that either myself or trading212 take responsibility for the outcomes related to the uses of this API.
I will continue to work on this project and would appriciate any feedback.
Requirments

Selenium
Requests
Python3
Firefox

Installation
pip install apit212
Import
to start using this API you will first need to login to the account using apit212 you will then be able to use all the functions and create your own trading bot or use it to scarpe data from the trading212 platform.
Demo account:
from apit212 import *

api = Apit212()

api.setup(username="flock92@account.api", password="pass******", mode="demo")

Live account:
from apit212 import *

api = Apit212()

api.setup(username="flock92@account.api", password="pass******", mode="live")

Best Practice
It's good practice to set up an env file to save sensitive informaton like your user name or password. Here is a useful link .env
USER=flock92@account.api
PASS=password123

from dotenv import load_dotenv
from apit212 import *
import os

load_dotenv('.env')

username: str = os.getenv('USER')
password: str = os.getenv('PASS')

api = Apit212()

api.setup(username="flock92@account.api", password="pass******", mode="demo")

Correct Ticker
This API is useless without the correct ticker symbol so i've got a solution.
from apit212 import Tickers

ticker = Tickers()

print(ticker.fetch_symbols(symbol='META'))

print(ticker.find_by_name(full_name='tesla'))

console
There is quite a bit of data to read through but the key you are after is ticker this will return the symbol used by the trading212 platform.
[{'ticker': 'FB', 'type': 'STOCK', 'currency': 'USD', 'shortName': 'META', 'fullName': 'Meta Platforms', 'description': 'Meta Platforms Inc', 'minTrade': 0.1, 'digitsPrecision': 2, 'exchangeId': 68, 'tradable': True, 'underlyingInstrumentTicker': 'FB_US_EQ', 'underlyingLeverageCoefficient': 1.0, 'dealerExclusions': [], 'maxOpenLong': 1121, 'leverage': '1:5', 'insignificantDigits': 0, 'baseTicker': nan, 'expiryDate': nan, 'minTradeSizeCoefficient': 10.0, 'isin': 'US30303M1027', 'countryOfOrigin': 'US', 'quantityPrecision': 1.0, 'priorityIndex': 25.0, 'maxTrade': nan, 'conditionalVisibility': nan, 'suspended': nan}]
[{'ticker': 'TSLA', 'type': 'STOCK', 'currency': 'USD', 'shortName': 'TSLA', 'fullName': 'Tesla', 'description': 'Tesla, Inc.', 'minTrade': 0.1, 'digitsPrecision': 2, 'exchangeId': 68, 'tradable': True, 'underlyingInstrumentTicker': 'TSLA_US_EQ', 'underlyingLeverageCoefficient': 1.0, 'dealerExclusions': [], 'maxOpenLong': 1405, 'leverage': '1:5', 'insignificantDigits': 0, 'baseTicker': nan, 'expiryDate': nan, 'minTradeSizeCoefficient': 10.0, 'isin': 'US88160R1014', 'countryOfOrigin': 'US', 'quantityPrecision': 1.0, 'priorityIndex': 100.0, 'maxTrade': nan, 'conditionalVisibility': nan, 'suspended': nan}]

example
from apit212 import Tickers

ticker = Tickers()

meta = ticker.fetch_symbols(symbol='META')

print(len(meta))

print(meta[0]['ticker'])

console
finding a ticker using the widely used ticker will often return 1 result but on some occasions you may get multiple results
so its good practice to check the len of the string returned.
1
FB

CFD or Trade Equity
To trade CFD's simply call the CFD class
from apit212 import *

api = Apit212()

api.setup(username="flock92@account.api", password="pass******", mode="demo")

cfd = CFD(cred=api)

To trade Equity's simply call the Equity class.
from apit212 import *

client = Apit212(username="flock92@account.api", password="pass******", mode="live")

equity = Equity()

Account data
Check session
The auth_validate function will return account ID and trade type.
validate = cfd.auth_validate()

print(validate)

Console:
{'id': '*******-****-****-****-************', 'accountId': ********, 'customerId': *********, 'tradingType': 'CFD', 'customerUuid': '********-****-****-****-************', 'frontend': 'WC4', 'readyToTrade': True, 'deviceUuid': ''}

get_account
The get_account function will return your account details.
account = cfd.get_account()

print(account)

Console
{'demoAccounts': [{'id': ********, 'type': 'DEMO', 'tradingType': 'CFD', 'customerId': ********,
'createdDate': '2023-01-17T03:20:48.000+00:00', 'status': 'ACTIVE', 'registerSource': 'WC4',
'currencyCode': 'GBP', 'readyToTrade': True}], 'liveAccounts': [{'id': ********, 'type': 'LIVE',
'tradingType': 'CFD', 'customerId': ********, 'createdDate': '2023-01-17T03:20:32.000+00:00',
'status': 'PENDING_ACTIVATION', 'registerSource': 'WC4', 'currencyCode': 'GBP', 'readyToTrade': False}]}

get_funds
The get_funds function will return the accounts funds.
funds = cfd.get_funds()

print(funds)

Console
{'*******': {'accountId': ********, 'tradingType': 'CFD', 'currency': 'GBP',
'freeForWithdraw': 486.83, 'freeForCfdTransfer': 0, 'total': 486.83,
'lockedCash': {'totalLockedCash': 0, 'lockedCash': []}}}

Get summary
The get_summary returns a summary of you account.
summary = cfd.get_summary()

print(summary)

Console
'open': {'unfilteredCount': 1, 'items': [{'positionId': '********-****-****-****-************', 'humanId': '********',
'created': '2023-07-03T18:17:46.563+03:00', 'averagePrice': 192.25, 'averagePriceConverted': 150.73025341182984,
'currentPrice': 192.2, 'value': 1054.82, 'investment': 1055.11, 'code': 'AAPL', 'margin': 212.02, 'ppl': -0.28,
'quantity': 7, 'maxBuy': 9.0, 'maxSell': 7, 'maxOpenBuy': 2033.0, 'maxOpenSell': 2040.0, 'swap': -1.06, 'frontend': 'WC4'}]}

Get companies
The get_companies returns instruments avaliable to trade on the trading212 platform
companies = cfd.get_companies()

print(companies)

Console
[{'ticker': 'SIGTl_EQ', 'isin': 'GB0008769993'}, {'ticker': 'PDYPY_US_EQ', 'isin': 'US3440441026'}...]

Get instrument info
The get_instruments_info will return information about an instrument.
info = cfd.get_instruments_info(instrument="TSLA")

print(info)

Console
{'code': 'TSLA', 'type': 'STOCK', 'margin': 0.2, 'shortPositionSwap': -0.07030593058663,
'longPositionSwap': -0.27928156941337, 'tsSwapCharges': '1970-01-01T23:00:00.000+02:00',
'marginPercent': '20', 'leverage': '1:5'}

Get order info
The get_order_info get
orderInfo = cfd.get_order_info(instrument="TSLA", quamtity=1.5)

print(orderInfo)

Console
{'buyMargin': 40.18, 'sellMargin': 40.18, 'buySwap': -0.2, 'sellSwap': -0.05}

Get deviation
tickers = ["TSLA","AAPL"]

deviation = cfd.get_deviations(instruments=tickers)

print(deviation)

Console
[{'request': {'ticker': 'TSLA', 'useAskPrice': False}, 'response': {'timestamp': 1694073610000, 'price': 250.68, 'period': 'd1'}}, {'request': {'ticker': 'AAPL', 'useAskPrice': False}, 'response': {'timestamp': 1694073610000, 'price': 178.18, 'period': 'd1'}}]

Get position
The get_position returns infomation for a given position ID, this ID's can be exstracted from the get_summary function
position = cfd.get_position(position_id=274187113)

print(position)

Console
[{'eventType': {'action': 'opened', 'source': 'MARKET_ORDER'},
'eventNumber': {'name': 'MO3053019640', 'id': '274187113', 'frontend': 'WC4'}, 'time': '2023-08-02T22:42:54.000+03:00',
'direction': 'sell', 'quantity': 1.0, 'price': '105.29', 'avgQuantity': 1.0, 'avgPrice': '105.2900', 'modifiedDirection':
'sell'}]

Get all results
The get_all_result function will return a list of all your trading results. you will need to request each page. you may also need to pass your timezone.
results = cfd.get_all_results()

print(results)

Console
{'data': [{'direction': 'buy', 'code': 'AAPL', 'quantity': 0.1, 'orderNumber': {'name': 'P************', 'link': 'positionHistory/********-****-****-****-************', 'id': '********-****-****-****-************', 'frontend': 'WC4'}, 'price': '176.6700', 'closePrice': '181.98', 'result': '0.42', 'eventNumber': {'name': 'PO3062546222', 'id': '********-****-****-****-************'}, 'eventType': 'closed', 'time': '2023-08-29T17:15:55.000+03:00', 'openingTime': '2023-08-25T11:51:15.000+03:00'}, ...], 'nextPage': 'result?perPage=20&onlyFullyClosed=false&page=2', 'currentPage': 'result?perPage=20&onlyFullyClosed=false&page=1', 'totalSize': 133}

Get order History
orderHist = cfd.get_order_hist(page_number=1)

print(orderHist)

Console
{'data': [], 'currentPage': 'order?filter=all&perPage=20&from=2023-09-06T02:00:00.000+03:00&to=2023-09-08T01:59:59.173+03:00&page=1', 'totalSize': 0}

Get position History
positionHist = cfd.get_posistion_hist(page_number=1)

print(positionHist)

Console
{'data': [], 'currentPage': 'position?perPage=20&from=2023-09-06T02:00:00.000+03:00&to=2023-09-08T01:59:59.173+03:00&page=1', 'totalSize': 0}

fast price
The fast_price retruns an instruments price as a float. if the request fails None is returned
price = cfd.fast_price(instrument="TSLA")

print(price)

console
253.49

Chart data
The chart_data returns a dictionary with the candle date OHLC (open, high, low, close) the period requested. which is set to 1minute by default.
charts = cfd.chart_data(instrument="TSLA", period="ONE_MINUTE")

print(charts)

Console
[{'request': {'ticker': 'TSLA', 'period': 'ONE_MINUTE', 'size': 500, 'useAskPrice': False}, 'response': {'candles': [[1691152740000, 259.6, 259.97, 259.43, 259.49, 47], [1691152800000, 259.38, 259.94, 259.17, 259.56, 58], [1691152860000, 259.62, 260.34, 259.62, 260.19, 42]

Get multiple price data
The multi_price function will return the last qouted price for all passed instruments.
tickers =["TSLA","AAPL","GOOG"]

multiprice = cfd.multi_price(instruments=tickers)

print(multiprice)

Console
[{'ticker': 'TSLA', 'price': 251.34}, {'ticker': 'AAPL', 'price': 181.96}, {'ticker': 'GOOG', 'price': 135.18}]

TRADES
Market order
The market_order function submits a market order and requires the current price of the instrument.
targetPrice = cfd.fast_price(instrument="TSLA")

marketOrder = cfd.market_order(instrument="TSLA", target_price=targePrice,
quantity=1.5, take_profit=10, stop_loss=10 )

Limit order
The limit_order function submits a limit order
marketOrder = cfd.limit_order(instrument="TSLA", target_price=127,
quantity=1.5, take_profit=10, stop_loss=10)

Set limits
The set_limits function allows you to modify or add a stoploss or takeprofit to an existing postion (the positionID is required to carry out this function)
limits = cfd.set_limits(position_id=27361748, TP=10, SL=10)

add trailing stop
The add_trailing_stop function adds a trailing stop to an existing position
trailing = cfd.add_trailing_stop(position_id=27361748, distance=1)

close position
The close_position function is used to close an open position. it will required the current price.
currentPrice = cfd.fast_price(instrument="TSLA")

close = cfd.close_position(position_id=23948174, current_price=currentPrice)

cancel all orders
cancelAll = cfd.cancel_all_orders()

cancel order
The cancel_order function is used to cancel a limit order.
cancel = cfd.cancel_order(order_id=**********)

Get ticker price
the get_live function will return the current price of a ticker
tickers = ["TSLA", "AAPL"]

prices = cfd.live_price(instruments=tickers)

print(prices)

Console:
[{'request': {'ticker': 'TSLA', 'useAskPrice': False}, 'response': {'timestamp': 1690531210000, 'price': 255.8, 'period': 'd1'}}, {'request': {'ticker': 'AAPL', 'useAskPrice': False}, 'response': {'timestamp': 1690531210000, 'price': 193.29, 'period': 'd1'}}]

Get Funds
The get_funds function will return your accounts funds.
funds = cfd.get_funds()

print(funds)

Console:
{'20434246': {'accountId': ********, 'tradingType': 'CFD', 'currency': 'GBP',
'freeForWithdraw': 486.83, 'freeForCfdTransfer': 0, 'total': 486.83,
'lockedCash': {'totalLockedCash': 0, 'lockedCash': []}}}

Add trailing stop loss
the trailing_stop function allows you to add a trailing stop to a open position.
trailing_stop = cfd.trailing_stop(position_id="***-****-***", distance=0.5)

Add/Change stoploss and takeprofit
The add_limits function allows you to add a stoploss and takeprofit to an existing position.
update_limits = client.add_limits(position_id="***-****-***", TP=1 , SL=1)

To set a new stoploss or takeprofit just pass the distance to the TP (take profit) or SL (stop loss) params. The function will get the current price and apply the distance.
Get all position history
The all_position_hist function will return the position history.
position_history = cfd.all_position_hist()

Get order history
The all_order_hist returns orders data
order_history = cfd.all_order_hist()

Get Insturments info
The get_instrument function will retunr information about the instrument.
tsla_info = cfd.get_instruments_info(instrument='TSLA')

print(tsla_info)

Console:
{'code': 'TSLA', 'type': 'STOCK', 'margin': 0.2, 'shortPositionSwap': -0.07030593058663,
'longPositionSwap': -0.27928156941337, 'tsSwapCharges': '1970-01-01T23:00:00.000+02:00',
'marginPercent': '20', 'leverage': '1:5'}

Get position information
The get_position function will returns information for the qouted positionID.
position = cfd.get_position(position_id="***-****-***")

print(position)

console
[{'eventType': {'action': 'opened', 'source': 'MARKET_ORDER'},
'eventNumber': {'name': 'MO3053019640', 'id': '274187113', 'frontend': 'WC4'}, 'time': '2023-08-02T22:42:54.000+03:00',
'direction': 'sell', 'quantity': 1.0, 'price': '105.29', 'avgQuantity': 1.0, 'avgPrice': '105.2900', 'modifiedDirection':
'sell'}]

Get Summary
The get_summary function will return the account summary. this function can also be used to get order ID's and there current PPL
summary = cfd.get_summary()

print(summary)

Example:
'open': {'unfilteredCount': 1, 'items': [{'positionId': '********-****-****-****-************', 'humanId': '********',
'created': '2023-07-03T18:17:46.563+03:00', 'averagePrice': 192.25, 'averagePriceConverted': 150.73025341182984,
'currentPrice': 192.2, 'value': 1054.82, 'investment': 1055.11, 'code': 'AAPL', 'margin': 212.02, 'ppl': -0.28,
'quantity': 7, 'maxBuy': 9.0, 'maxSell': 7, 'maxOpenBuy': 2033.0, 'maxOpenSell': 2040.0, 'swap': -1.06, 'frontend': 'WC4'}]}

Get live Price
The live_price function will return the current ask price for the passed instrument.
ticker = ["TSLA","AAPL","GOOG"]

live_price = cfd.live_price(instruments=ticker)

print(live_price)

console:
[{'ticker': 'TSLA', 'price': 253.49}, {'ticker': 'AAPL', 'price': 182.08}, {'ticker': 'GOOG', 'price': 128.44}]

Get fast price
The fast_price function will return the last qouted chart price as a float
price = cfd.fast_price(instrument="TSLA")

print(price)

console:
253.49

Get chart data
the chart_data function will return the lastest chart data for passed instrument
chart = cfd.chart_data(instrument="TSLA")

print(chart)

console:
[{'request': {'ticker': 'TSLA', 'period': 'ONE_MINUTE', 'size': 500, 'useAskPrice': False}, 'response': {'candles': [[1691152740000, 259.6, 259.97, 259.43, 259.49, 47], [1691152800000, 259.38, 259.94, 259.17, 259.56, 58], [1691152860000, 259.62, 260.34, 259.62, 260.19, 42]

Get price deviations
The get_deviations function will return price deviations
ticker = ["TSLA","AAPL","GOOG"]

deviations = cfd.get_deviations(instruments=ticker)

print(deviations)

console:
[{'request': {'ticker': 'TSLA', 'useAskPrice': False}, 'response': {'timestamp': 1691136010000, 'price': 259.38, 'period': 'd1'}}, {'request': {'ticker': 'AAPL', 'useAskPrice': False}, 'response': {'timestamp': 1691136010000, 'price': 188.99, 'period': 'd1'}}, {'request': {'ticker': 'GOOG', 'useAskPrice': False}, 'response': {'timestamp': 1691136010000, 'price': 129.05, 'period': 'd1'}}]

Get Companies
The get_companies function will return companies currently listed on T212 & their respective isin ID.
companies = cfd.get_companies()

print(companies)

console:
[{'ticker': 'SIGTl_EQ', 'isin': 'GB0008769993'}, {'ticker': 'PDYPY_US_EQ', 'isin': 'US3440441026'}...]

Limit Order
The limit_order function submit a limit order and takes quantity, target_price, take_profit & stop_loss parms.
limit_order = cfd.limit_order(instrument="TSLA",
quantity=5, target_price=129, take_profit=130, stop_loss=128)

Console:

{'account': {'dealer': 'AVUSUK', 'positions': [{'positionId': '********-****-****-****-************',
'humanId': '**********', 'created': '2023-07-03T18:17:46.563+03:00' ...

Market Order
The market_order function submit a market order and takes quantity, target_price, take_profit & stop_loss parms.
market_order = cfd.market_order(instrument="TSLA",
quantity=5, target_price=129, take_profit=130, stop_loss=128)

Cancel order
The cancel_order function will cancel a pending order it requires a orderID.
cancel_order = cfd.cancel_order(order_id)

You can also use the cancel_all_orders to cancel all pending limits orders.
cancel_all = cfd.cancel_all_orders()

Close Position
The close_position function will submit a request to cancel a open position.
close_position = cfd.close_position(position_id='ordexxxxx', current_price=current_price)

CODE EXAMPLES
username = "flock92@account.api"
password = "password132"

api = Apit212()

api.setup(username=username, password=password, mode="demo")

cfd = CFD(cred=api)

target_price = 128

while True:

sleep(60)

price = cfd.fast_price("TSLA")

if price <= target_price:

marketOrder = cfd.market_order(instrument="TSLA", target_price=price, quantity=1, take_profit=10,
stop_loss=10)

break

Trade Exceptions
When carrying out a trade you might run into issues and it's always good to have protocols in place to deal with these issues when they arise.
below is a list of some exceptions you might come across when carrying out a trade.
BusinessException

MinQuantityExceeded
NoPriceException
InstrumentNotSupported
SpreadIsBiggerThanMinDistance
InstrumentDisabled
StopLossMustBeBelowCurrentPrice
InsufficientFundsMaxBuy
InsufficientFundsMaxSell
MarketStillNotOpen
QuantityPrecisionMismatch

InternalError
Just stop making the request if you get this response
Using trading212 official API
This is currently only working with equity accounts and you can only submit trades on your demo account. please read the official documentation to get a better understanding and limitations of the API.
Setup
In order to use the official API you will need to generate a key using the trading212 app. /settings/API(Beta) then simply generate a new Key and pass it to the Apitkey().Equity() Class.
from apit212 import *

key = "20557******************************"

client = Apitkey()

info = client.Equity(api_key=key, mode="live")

Functions
Here are the functions avalible using the trading212 API-token.

exchange_list
instrument_list
pies
create_pie
delete_pie
fetch_pie
update_pie
equity_orders
limit_order
market_order
stop_oder
stop_limit_order
cancel_order
fetch_order
account_data
account_meta
fetch_all_posistions
fetch_position
order_history
paid_out_dividends
export_list
export_csv
transactions

Disclaimer
This is an unofficial API & either myself of trading212 are responsible for the use of this API. It is strongly advised that you use a practice account before moving onto real money. apit212 is not a trading bot