Metatrader API

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  • License: MIT License (MIT License)
  • Author: Emerson Pedroso & Douglas Barros
  • Tags metatrader, f-api, historical-data, financial-data, stocks, funds, etfs, indices, currency crosses, bonds, commodities, crypto currencies
  • Requires: Python >=3
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Project description

Python Metatrader DataFrame API

for the server side you need to download Metatrader docker from

https://github.com/traderpedroso/datafeed-mt5-docker

Installation

pip install ejtraderMT

or
git clone https://github.com/traderpedroso/ejtraderMT
cd ejtraderMT
python setup.py install

import

from ejtraderMT import Metatrader

Connect to expert to Metatrader 5

# for change the host Metatrader("hostIP")
mt = Metatrader()

Account information

accountInfo = mt.accountInfo()
print(accountInfo)
print(accountInfo['broker'])
print(accountInfo['balance'])

You can create market or pending order with the commands.

Market Orders

# symbol, volume, stoploss, takeprofit, deviation
mt.buy("EURUSD", 0.01, 1.18, 1.19, 5)
mt.sell("EURUSD", 0.01, 1.18, 1.19, 5)

Limit Orders

# symbol, volume, stoploss, takeprofit, price, deviation
mt.buyLimit("EURUSD", 0.01, 1.17, 1.19, 1.18, 5)
mt.sellLimit("EURUSD", 0.01, 1.20, 1.17, 1.19, 5)

Stop Orders

#symbol, volume, stoploss, takeprofit, price, deviation
mt.buyStop("EURUSD", 0.01, 1.18, 1.20, 1.19, 5)
mt.sellStop("EURUSD", 0.01, 1.19, 1.17, 1.18, 5)

Positions & Manipulation

positions = mt.positions()


if 'positions' in positions:
    for position in positions['positions']:
        mt.CloseById(position['id'])

Orders & Manipulation

orders = mt.orders()

if 'orders' in orders:
    for order in orders['orders']:
        mt.CancelById(order['id'])

Modify possition

mt.positionModify( id, stoploss, takeprofit)

Modify order

mt.orderModify( id, stoploss, takeprofit, price)

close by symbol

mt.CloseBySymbol("EURUSD")

close particial

# id , volume
mt.ClosePartial( id, volume)

If you want to cancel all Orders

mt.cancel_all()

if you want to close all positions

mt.close_all()

History fromDate toDate

symbol = "EURUSD"
timeframe = "M1"
fromDate = "24/02/2021"
toDate = "24/02/2021"

history = mt.history(symbol,timeframe,fromDate,toDate)
print(history)

                        open     high      low    close  volume  spread
date
2021-02-24 02:55:00  1.21628  1.21637  1.21572  1.21582   228.0       5
2021-02-24 03:00:00  1.21583  1.21620  1.21576  1.21615   273.0       5
2021-02-24 03:05:00  1.21614  1.21618  1.21577  1.21583   338.0       5
2021-02-24 03:10:00  1.21585  1.21608  1.21579  1.21598   218.0       5
2021-02-24 03:15:00  1.21599  1.21603  1.21578  1.21581   199.0       5
2021-02-24 03:20:00  1.21580  1.21608  1.21577  1.21602   323.0       5
2021-02-24 03:25:00  1.21601  1.21606  1.21582  1.21588   157.0       5
2021-02-24 03:30:00  1.21589  1.21597  1.21548  1.21553   238.0       5
2021-02-24 03:35:00  1.21553  1.21578  1.21550  1.21577   216.0       5
2021-02-24 03:40:00  1.21576  1.21579  1.21533  1.21553   242.0       5
2021-02-24 03:45:00  1.21552  1.21554  1.21524  1.21528   245.0       5
2021-02-24 03:50:00  1.21528  1.21543  1.21509  1.21542   198.0       5
2021-02-24 03:55:00  1.21541  1.21557  1.21535  1.21554   214.0       5
2021-02-24 04:00:00  1.21555  1.21567  1.21544  1.21564   222.0       5
2021-02-24 04:05:00  1.21563  1.21564  1.21533  1.21540   207.0       5
2021-02-24 04:10:00  1.21539  1.21559  1.21523  1.21554   206.0       5
2021-02-24 04:15:00  1.21554  1.21566  1.21543  1.21548   244.0       5
2021-02-24 04:20:00  1.21548  1.21564  1.21544  1.21554    99.0       5
2021-02-24 04:25:00  1.21553  1.21565  1.21544  1.21556   149.0       5
2021-02-24 04:30:00  1.21557  1.21563  1.21527  1.21532   133.0       5
2021-02-24 04:35:00  1.21533  1.21558  1.21522  1.21536   184.0       5
2021-02-24 04:40:00  1.21537  1.21550  1.21525  1.21546   260.0       5
2021-02-24 04:45:00  1.21548  1.21548  1.21527  1.21529   216.0       5
2021-02-24 04:50:00  1.21529  1.21547  1.21517  1.21523   151.0       5
2021-02-24 04:55:00  1.21521  1.21527  1.21501  1.21517   160.0       5
2021-02-24 05:00:00  1.21518  1.21521  1.21509  1.21513   130.0       5
2021-02-24 05:05:00  1.21513  1.21516  1.21493  1.21508   202.0       5
2021-02-24 05:10:00  1.21507  1.21520  1.21506  1.21508   129.0       5
2021-02-24 05:15:00  1.21508  1.21515  1.21502  1.21502   129.0       5
2021-02-24 05:20:00  1.21503  1.21506  1.21496  1.21503   120.0       5
2021-02-24 05:25:00  1.21503  1.21513  1.21501  1.21508    64.0       5
2021-02-24 05:30:00  1.21509  1.21513  1.21496  1.21498   134.0       5
2021-02-24 05:35:00  1.21498  1.21503  1.21495  1.21502   101.0       5
2021-02-24 05:40:00  1.21502  1.21504  1.21492  1.21495    89.0       5
2021-02-24 05:45:00  1.21496  1.21498  1.21476  1.21485   123.0       5
2021-02-24 05:50:00  1.21486  1.21496  1.21486  1.21493    41.0       5

Short History

symbol = "EURUSD"
timeframe = "M1"

history = mt.Shorthistory(symbol,timeframe,1)
print(history)

                        open     high      low    close  volume  spread
date
2021-02-24 02:55:00  1.21628  1.21637  1.21572  1.21582   228.0       5
2021-02-24 03:00:00  1.21583  1.21620  1.21576  1.21615   273.0       5
2021-02-24 03:05:00  1.21614  1.21618  1.21577  1.21583   338.0       5
2021-02-24 03:10:00  1.21585  1.21608  1.21579  1.21598   218.0       5
2021-02-24 03:15:00  1.21599  1.21603  1.21578  1.21581   199.0       5
2021-02-24 03:20:00  1.21580  1.21608  1.21577  1.21602   323.0       5
2021-02-24 03:25:00  1.21601  1.21606  1.21582  1.21588   157.0       5
2021-02-24 03:30:00  1.21589  1.21597  1.21548  1.21553   238.0       5
2021-02-24 03:35:00  1.21553  1.21578  1.21550  1.21577   216.0       5
2021-02-24 03:40:00  1.21576  1.21579  1.21533  1.21553   242.0       5
2021-02-24 03:45:00  1.21552  1.21554  1.21524  1.21528   245.0       5
2021-02-24 03:50:00  1.21528  1.21543  1.21509  1.21542   198.0       5
2021-02-24 03:55:00  1.21541  1.21557  1.21535  1.21554   214.0       5
2021-02-24 04:00:00  1.21555  1.21567  1.21544  1.21564   222.0       5
2021-02-24 04:05:00  1.21563  1.21564  1.21533  1.21540   207.0       5
2021-02-24 04:10:00  1.21539  1.21559  1.21523  1.21554   206.0       5
2021-02-24 04:15:00  1.21554  1.21566  1.21543  1.21548   244.0       5
2021-02-24 04:20:00  1.21548  1.21564  1.21544  1.21554    99.0       5
2021-02-24 04:25:00  1.21553  1.21565  1.21544  1.21556   149.0       5
2021-02-24 04:30:00  1.21557  1.21563  1.21527  1.21532   133.0       5
2021-02-24 04:35:00  1.21533  1.21558  1.21522  1.21536   184.0       5
2021-02-24 04:40:00  1.21537  1.21550  1.21525  1.21546   260.0       5
2021-02-24 04:45:00  1.21548  1.21548  1.21527  1.21529   216.0       5
2021-02-24 04:50:00  1.21529  1.21547  1.21517  1.21523   151.0       5
2021-02-24 04:55:00  1.21521  1.21527  1.21501  1.21517   160.0       5
2021-02-24 05:00:00  1.21518  1.21521  1.21509  1.21513   130.0       5
2021-02-24 05:05:00  1.21513  1.21516  1.21493  1.21508   202.0       5
2021-02-24 05:10:00  1.21507  1.21520  1.21506  1.21508   129.0       5
2021-02-24 05:15:00  1.21508  1.21515  1.21502  1.21502   129.0       5
2021-02-24 05:20:00  1.21503  1.21506  1.21496  1.21503   120.0       5
2021-02-24 05:25:00  1.21503  1.21513  1.21501  1.21508    64.0       5
2021-02-24 05:30:00  1.21509  1.21513  1.21496  1.21498   134.0       5
2021-02-24 05:35:00  1.21498  1.21503  1.21495  1.21502   101.0       5
2021-02-24 05:40:00  1.21502  1.21504  1.21492  1.21495    89.0       5
2021-02-24 05:45:00  1.21496  1.21498  1.21476  1.21485   123.0       5
2021-02-24 05:50:00  1.21486  1.21496  1.21486  1.21493    41.0       5

Live data and streaming events

from ejtraderMT import Metatrader
from threading import Thread




api = Metatrader()

symbols = ["EURUSD","GBPUSD","AUDUSD"]
timeframe = "TICK"


# Live data stream subscribe
api.live(symbols,timeframe)




def price():
    connect = api.livePrice
    while True:
        price = connect.recv_json()
        print(price)


def event():
    connect = api.liveEvent
    while True:
        event = connect.recv_json()
        print(event)




t = Thread(target=price, daemon=True)
t.start()

t = Thread(target=event, daemon=True)
t.start()




while True:
    pass

,,,
### Future add comming soon

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ejtrader from gravatar.com ejtrader

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Emerson Pedroso & Douglas Barros
  • Tags metatrader, f-api, historical-data, financial-data, stocks, funds, etfs, indices, currency crosses, bonds, commodities, crypto currencies
  • Requires: Python >=3
Classifiers

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