metaapi-cloud-copyfactory-sdk 11.0.2

Python SDK for SDK for CopyFactory trade copying API. Can copy trades both between MetaTrader 5 (MT5) and MetaTrader 4 (MT4). (https://metaapi.cloud)

CopyFactory is a powerful trade copying API which makes developing forex trade copying applications as easy as writing few lines of code.

CopyFactory API is a member of MetaApi project (https://metaapi.cloud), a powerful cloud forex trading API which supports both MetaTrader 4 and MetaTrader 5 platforms.

MetaApi is a paid service, however we offer a free tier for testing and personal use.

The MetaApi pricing was developed with the intent to make your charges less or equal to what you would have to pay for hosting your own infrastructure. This is possible because over time we managed to heavily optimize our MetaTrader infrastructure. And with MetaApi you can save significantly on application development and maintenance costs and time thanks to high-quality API, open-source SDKs and convenience of a cloud service.

This SDK requires a 3.8+ version of Python to run.

Why do we offer CopyFactory API trade copying API

We found that developing reliable and flexible trade copier is a task which requires lots of effort, because developers have to solve a series of complex technical tasks to create a product.

We decided to share our product as it allows developers to start with a powerful solution in almost no time, saving on development and infrastructure maintenance costs.

Frequently asked questions (FAQ)

FAQ is located here: https://metaapi.cloud/docs/copyfactory/faq/

CopyFactory copytrading API features

Features supported:

• low latency trade copying API

• reliable trade copying API

• suitable for large-scale deployments

• suitable for large number of subscribers

• connect arbitrary number of strategy providers and subscribers

• subscribe accounts to multiple strategies at once

• select arbitrary copy ratio for each subscription

• configure symbol mapping between strategy providers and subscribers

• apply advanced risk filters on strategy provider side

• override risk filters on subscriber side

• provide multiple strategies from a single account based on magic or symbol filters

• supports manual trading on subscriber accounts while copying trades

• synchronize subscriber account with strategy providers

• monitor trading history

• calculate trade copying commissions for account managers

• support portfolio strategies as trading signal source, i.e. the strategies which include signals of several other strategies (also known as combos on some platforms)

Please note that trade copying to MT5 netting accounts is not supported in the current API version

Please check Features section of the https://metaapi.cloud/docs/copyfactory/ documentation for detailed description of all settings you can make.

REST API documentation

CopyFactory SDK is built on top of CopyFactory REST API.

CopyFactory REST API docs are available at https://metaapi.cloud/docs/copyfactory/

Code examples

We published some code examples in our github repository, namely:

• Python: https://github.com/metaapi/metaapi-copyfactory-python-sdk/tree/master/examples

Installation

pip install metaapi-cloud-sdk

Retrieving API token

Please visit https://app.metaapi.cloud/token web UI to obtain your API token.

Configuring trade copying

In order to configure trade copying you need to:

• add MetaApi MetaTrader accounts with CopyFactory as application field value (see above)

• create CopyFactory provider and subscriber accounts and connect them to MetaApi accounts via connectionId field

• create a strategy being copied

• subscribe subscriber CopyFactory accounts to the strategy

from metaapi_cloud_sdk import MetaApi, CopyFactory

token = '...'
metaapi = MetaApi(token=token)
copy_factory = CopyFactory(token=token)

# retrieve MetaApi MetaTrader accounts with CopyFactory as application field value
# provider account must have PROVIDER value in copyFactoryRoles
provider_metaapi_account = await metaapi.metatrader_account_api.get_account(account_id='providerMetaapiAccountId')
if (provider_metaapi_account is None) or provider_metaapi_account.copy_factory_roles is None or 'PROVIDER' not \
        in provider_metaapi_account.copy_factory_roles:
    raise Exception('Please specify PROVIDER copyFactoryRoles value in your MetaApi '
                    'account in order to use it in CopyFactory API')
# subscriber account must have SUBSCRIBER value in copyFactoryRoles
subscriber_metaapi_account = await metaapi.metatrader_account_api.get_account(account_id='subscriberMetaapiAccountId')
if (subscriber_metaapi_account is None) or subscriber_metaapi_account.copy_factory_roles is None or 'SUBSCRIBER' not \
        in subscriber_metaapi_account.copy_factory_roles:
    raise Exception('Please specify SUBSCRIBER copyFactoryRoles value in your MetaApi '
                    'account in order to use it in CopyFactory API')

configuration_api = copy_factory.configuration_api

# create a strategy being copied
strategy_id = await configuration_api.generate_strategy_id()
await configuration_api.update_strategy(id=strategy_id['id'], strategy={
    'name': 'Test strategy',
    'description': 'Some useful description about your strategy',
    'accountId': provider_metaapi_account.id,
    'maxTradeRisk': 0.1,
    'stopOutRisk': {
        'value': 0.4,
        'startTime': '2020-08-24T00:00:00.000Z'
    },
    'timeSettings': {
        'lifetimeInHours': 192,
        'openingIntervalInMinutes': 5
    }
})

# subscribe subscriber CopyFactory accounts to the strategy
await configuration_api.update_subscriber(subscriber_metaapi_account.id, {
    'name': 'Demo account',
    'subscriptions': [
        {
            'strategyId': strategy_id['id'],
            'multiplier': 1
        }
    ]
})

See in-code documentation for full definition of possible configuration options.

Retrieving paginated lists

There are two groups of methods to retrieve paginated lists:

• with pagination in infinite scroll style

• with pagination in a classic style which allows you to calculate page count

They are applied to following entities:

• strategies: get_strategies_with_infinite_scroll_pagination and get_strategies_with_classic_pagination

• provider portfolios: get_portfolio_strategies_with_infinite_scroll_pagination and get_portfolio_strategies_with_classic_pagination

• subscribers: get_subscribers_with_infinite_scroll_pagination and get_subscribers_with_classic_pagination

Example of retrieving strategies with pagination in infinite scroll style:

# paginate strategies, see in-code documentation for full list of filter options available.
strategies = await api.metatrader_account_api.get_strategies_with_infinite_scroll_pagination(
    {'limit': 10, 'offset': 0}
)

# get strategies without filter (returns 1000 strategies max)
strategies = await api.metatrader_account_api.get_strategies_with_infinite_scroll_pagination()
strategy = None

for s in strategies:
    if s['_id'] == 'strategyId':
        strategy = s
        break

Example of retrieving strategies with pagination in classic style:

# paginate strategies, see in-code documentation for full list of filter options available.
strategies = await api.metatrader_account_api.get_strategies_with_classic_pagination({'limit': 10, 'offset': 0})
strategy = None

for s in strategies:
    if s['_id'] == 'strategyId':
        strategy = s
        break
# number of all strategies matching filter without pagination options
print(strategies['count'])

# get strategies without filter (returns 1000 strategies max)
strategies = await api.metatrader_account_api.get_strategies_with_classic_pagination()

Retrieving trade copying history

CopyFactory allows you to monitor transactions conducted on trading accounts in real time.

Retrieving trading history on provider side

history_api = copy_factory.history_api

# retrieve trading history, please note that this method support pagination and limits number of records
print(await history_api.get_provided_transactions(time_from=datetime.fromisoformat('2020-08-01'),
    time_till=datetime.fromisoformat('2020-09-01')))

Retrieving trading history on subscriber side

history_api = copy_factory.history_api

# retrieve trading history, please note that this method support pagination and limits number of records
print(await history_api.get_subscription_transactions(time_from=datetime.fromisoformat('2020-08-01'),
    time_till=datetime.fromisoformat('2020-09-01')))

Resynchronizing subscriber accounts to providers

There is a configurable time limit during which the trades can be opened. Sometimes trades can not open in time due to broker errors or trading session time discrepancy. You can resynchronize a subscriber account to place such late trades. Please note that positions which were closed manually on a subscriber account will also be reopened during resynchronization.

account_id = '...' # CopyFactory account id

# resynchronize all strategies
await copy_factory.trading_api.resynchronize(account_id=account_id)

# resynchronize specific strategy
await copy_factory.trading_api.resynchronize(account_id=account_id, strategy_ids=['ABCD'])

Sending external trading signals to a strategy

You can submit external trading signals to your trading strategy.

trading_api = copy_factory.trading_api
signal_id = trading_api.generate_signal_id()

# get strategy signal client
strategy_signal_client = await trading_api.get_strategy_signal_client(strategy_id)

# add trading signal
await strategy_signal_client.update_external_signal(signal_id=signal_id, signal={
    'symbol': 'EURUSD',
    'type': 'POSITION_TYPE_BUY',
    'time': datetime.now(),
    'volume': 0.01
})

# get external signals
print(await strategy_signal_client.get_external_signals())

# remove signal
await strategy_signal_client.remove_external_signal(signal_id=signal_id, signal={
    'time': datetime.now()
})

Retrieving trading signals

subscriber_id = '...' # CopyFactory subscriber id
subscriber_signal_client = await trading_api.get_subscriber_signal_client(subscriber_id)

# retrieve trading signals
print(await subscriber_signal_client.get_trading_signals())

Managing stopouts

A subscription to a strategy can be stopped if the strategy have exceeded allowed risk limit.

trading_api = copy_factory.trading_api
account_id = '...' # CopyFactory account id
strategy_id = '...' # CopyFactory strategy id

# retrieve list of strategy stopouts
print(await trading_api.get_stopouts(account_id=account_id))

# reset a stopout so that subscription can continue
await trading_api.reset_subscription_stopouts(account_id=account_id, strategy_id=strategy_id, reason='daily-equity')

Managing stopout listeners

You can subscribe to a stream of stopout events using the stopout listener.

from metaapi_cloud_sdk import StopoutListener

trading_api = copy_factory.trading_api

# create a custom class based on the StopoutListener
class Listener(StopoutListener):

    # specify the function called on event arrival
    async def on_stopout(self, strategy_stopout_event):
        print('Strategy stopout event', strategy_stopout_event)

    # specify the function called on error event
    async def on_error(self, error):
        print('Error event', error)

# add listener
listener = Listener()
listener_id = trading_api.add_stopout_listener(listener)

# remove listener
trading_api.remove_stopout_listener(listener_id)

Retrieving subscriber trading logs

trading_api = copy_factory.trading_api
account_id = '...' # CopyFactory account id

# retrieve subscriber trading log
print(await trading_api.get_user_log(account_id))

# retrieve paginated subscriber trading log by time range
print(await trading_api.get_user_log(account_id, datetime.fromtimestamp(datetime.now().timestamp() - 24 * 60 * 60), None, 20, 10))

Log streaming

You can subscribe to a stream of strategy or subscriber log events using the user log listener.

Strategy logs

from metaapi_cloud_sdk import UserLogListener

trading_api = copy_factory.trading_api

# create a custom class based on the UserLogListener
class Listener(UserLogListener):

    # specify the function called on event arrival
    async def on_user_log(self, log_event):
        print('Strategy user log event', log_event)

    # specify the function called on error event
    async def on_error(self, error):
        print('Error event', error)

# add listener
listener = Listener()
listener_id = trading_api.add_strategy_log_listener(listener, 'ABCD')

# remove listener
trading_api.remove_strategy_log_listener(listener_id)

Subscriber logs

from metaapi_cloud_sdk import UserLogListener

trading_api = copy_factory.trading_api

# create a custom class based on the UserLogListener
class Listener(UserLogListener):

    # specify the function called on event arrival
    async def on_user_log(self, log_event):
        print('Subscriber user log event', log_event)

    # specify the function called on error event
    async def on_error(self, error):
        print('Error event', error)

# add listener
listener = Listener()
listener_id = trading_api.add_subscriber_log_listener(listener, 'accountId')

# remove listener
trading_api.remove_subscriber_log_listener(listener_id)

Transaction streaming

You can subscribe to a stream of strategy or subscriber transaction events using the transaction listener.

Strategy transactions

from metaapi_cloud_sdk import TransactionListener

history_api = copy_factory.history_api

# create a custom class based on the TransactionListener
class Listener(TransactionListener):

    # specify the function called on event arrival
    async def on_transaction(self, transaction_event):
        print('Strategy transaction event', transaction_event)

    # specify the function called on error event
    async def on_error(self, error):
        print('Error event', error)

# add listener
listener = Listener()
listener_id = history_api.add_strategy_transaction_listener(listener, 'ABCD')

# remove listener
history_api.remove_strategy_transaction_listener(listener_id)

Subscriber transactions

from metaapi_cloud_sdk import TransactionListener

history_api = copy_factory.history_api

# create a custom class based on the TransactionListener
class Listener(TransactionListener):

    # specify the function called on event arrival
    async def on_transaction(transaction_event):
        print('Subscriber transaction event', transaction_event)

    # specify the function called on error event
    async def on_error(self, error):
        print('Error event', error)

# add listener
listener = Listener()
listener_id = history_api.add_strategy_transaction_listener(listener, 'ABCD')

# remove listener
history_api.remove_subscriber_transaction_listener(listener_id)

Related projects:

See our website for the full list of APIs and features supported https://metaapi.cloud/#features

Some of the APIs you might decide to use together with this module:

1. MetaApi cloud forex trading API https://metaapi.cloud/docs/client/

2. MetaTrader account management API https://metaapi.cloud/docs/provisioning/

3. MetaStats cloud forex trading statistics API https://metaapi.cloud/docs/metastats/

4. MetaApi MT manager API https://metaapi.cloud/docs/manager/

5. MetaApi risk management API https://metaapi.cloud/docs/risk-management/