docker volume create ejtraderMT
docker run -d --restart=always -p 5900:5900 -p 15555:15555 -p 15556:15556 -p 15557:15557 -p 15558:15558 --name ejtraderapi_server -v ejtraderMT:/data sostrader/ejtraderapi_server:stable
or if you dont want to use docker you can download the expert and install on your Metatrader 5 simple download the folder MQL5 from the link below and install it on the Metatrader https://github.com/traderpedroso/ejtraderMTServer
# for last stable use pip
pip install ejtraderMT
or
#for developers attention may contain countless bugs
git clone https://github.com/traderpedroso/ejtraderMT
cd ejtraderMT
python setup.py install
from ejtraderMT import Metatrader
make sure thesisAPI expert are load on the chart
'''
to change the host IP example Metatrader("192.168.1.100") ou
you can use doman example "metatraderserverdomain.com"
for you broker time on the Dataframe Metatrader(localtime=False)
attention local time is the default for Dataframe index "date"
for real volume for active like WIN futures ou centralized market use Metatrader(real_volume=True)
attention tick volume is the default
to use more than one option just use , example Metatrader(host='hostIP',localtime=True)
'''
api = Metatrader()
accountInfo = api.accountInfo()
print(accountInfo)
print(accountInfo['broker'])
print(accountInfo['balance'])
# you can add unlimited actives to list ["EURUSD","GBPUSD","AUDUSD"]
symbol = ["EURUSD"]
timeframe = "M1"
fromDate = "20/02/2021"
toDate = "24/02/2021"
history = api.history(symbol,timeframe,fromDate,toDate)
print(history)
open high low close volume spread
date
2021-02-21 23:00:00 1.21135 1.21138 1.21131 1.21134 7.0 35
2021-02-21 23:01:00 1.21130 1.21135 1.21130 1.21135 6.0 43
2021-02-21 23:04:00 1.21150 1.21184 1.21134 1.21184 13.0 31
2021-02-21 23:05:00 1.21163 1.21207 1.21148 1.21181 39.0 42
2021-02-21 23:06:00 1.21189 1.21193 1.21182 1.21182 17.0 64
... ... ... ... ... ... ...
2021-02-24 02:56:00 1.21629 1.21629 1.21590 1.21594 51.0 5
2021-02-24 02:57:00 1.21592 1.21592 1.21574 1.21574 34.0 5
2021-02-24 02:58:00 1.21574 1.21579 1.21572 1.21575 35.0 5
2021-02-24 02:59:00 1.21576 1.21588 1.21573 1.21582 55.0 5
2021-02-24 03:00:00 1.21583 1.21601 1.21578 1.21598 80.0 5
[3104 rows x 6 columns]
# you can add unlimited actives to list ["EURUSD","GBPUSD","AUDUSD"]
symbol = ["EURUSD"]
timeframe = "M1"
fromDate = 27
history = api.history(symbol,timeframe,fromDate)
print(history)
open high low close volume spread
date
2021-02-26 19:23:00 1.20846 1.20857 1.20837 1.20856 84.0 5
2021-02-26 19:24:00 1.20855 1.20858 1.20842 1.20847 71.0 5
2021-02-26 19:25:00 1.20846 1.20849 1.20832 1.20845 69.0 5
2021-02-26 19:26:00 1.20844 1.20845 1.20823 1.20833 64.0 5
2021-02-26 19:27:00 1.20833 1.20836 1.20821 1.20834 53.0 5
... ... ... ... ... ... ...
2021-02-26 22:55:00 1.20721 1.20730 1.20718 1.20719 46.0 13
2021-02-26 22:56:00 1.20718 1.20738 1.20718 1.20731 39.0 12
2021-02-26 22:57:00 1.20730 1.20731 1.20716 1.20717 45.0 18
2021-02-26 22:58:00 1.20716 1.20731 1.20694 1.20704 77.0 16
2021-02-26 22:59:00 1.20702 1.20705 1.20702 1.20704 16.0 37
# you can add unlimited actives to list ["EURUSD","GBPUSD","AUDUSD"]
symbol = ["EURUSD"]
timeframe = "M1"
fromDate = 27
history = api.history(symbol,timeframe)
print(history)
open high low close volume spread
date
2021-02-26 19:23:00 1.20846 1.20857 1.20837 1.20856 84.0 5
2021-02-26 19:24:00 1.20855 1.20858 1.20842 1.20847 71.0 5
2021-02-26 19:25:00 1.20846 1.20849 1.20832 1.20845 69.0 5
2021-02-26 19:26:00 1.20844 1.20845 1.20823 1.20833 64.0 5
2021-02-26 19:27:00 1.20833 1.20836 1.20821 1.20834 53.0 5
# you can add unlimited actives to list ["EURUSD","GBPUSD","AUDUSD"] etc
symbol = ["EURUSD","GBPUSD"]
timeframe = "M1"
fromDate = "20/02/2021"
toDate = "24/02/2021"
history = api.history(symbol,timeframe,fromDate,toDate)
print(history)
open high low close volume spread gbpusd_open gbpusd_high gbpusd_low gbpusd_close gbpusd_volume gbpusd_spread
date
2021-02-21 23:00:00 1.21135 1.21138 1.21131 1.21134 7.0 35 1.40113 1.40113 1.40110 1.40110 2.0 130
2021-02-21 23:04:00 1.21150 1.21184 1.21134 1.21184 13.0 31 1.40119 1.40119 1.40119 1.40119 1.0 102
2021-02-21 23:05:00 1.21163 1.21207 1.21148 1.21181 39.0 42 1.40174 1.40174 1.40167 1.40168 11.0 61
2021-02-21 23:06:00 1.21189 1.21193 1.21182 1.21182 17.0 64 1.40156 1.40170 1.40132 1.40155 10.0 46
2021-02-21 23:07:00 1.21181 1.21182 1.21180 1.21182 4.0 82 1.40156 1.40156 1.40156 1.40156 1.0 63
... ... ... ... ... ... ... ... ... ... ... ... ...
2021-02-24 02:56:00 1.21629 1.21629 1.21590 1.21594 51.0 5 1.41833 1.41835 1.41786 1.41800 62.0 8
2021-02-24 02:57:00 1.21592 1.21592 1.21574 1.21574 34.0 5 1.41798 1.41801 1.41765 1.41766 54.0 8
2021-02-24 02:58:00 1.21574 1.21579 1.21572 1.21575 35.0 5 1.41767 1.41789 1.41767 1.41768 64.0 8
2021-02-24 02:59:00 1.21576 1.21588 1.21573 1.21582 55.0 5 1.41769 1.41782 1.41764 1.41769 42.0 9
2021-02-24 03:00:00 1.21583 1.21601 1.21578 1.21598 80.0 5 1.41770 1.41797 1.41746 1.41784 95.0 8
[3097 rows x 12 columns]
from ejtraderMT import Metatrader
api = Metatrader()
symbols = ["EURUSD","GBPUSD","AUDUSD"]
timeframe = "TICK"
# stream price
while True:
price = api.price(symbols,timeframe)
print(price)
from ejtraderMT import Metatrader
api = Metatrader()
symbols = ["EURUSD","GBPUSD","AUDUSD"]
timeframe = "TICK"
# stream event
while True:
event = api.event(symbols,timeframe)
print(event)
# symbol, volume, stoploss, takeprofit, deviation
api.buy("EURUSD", 0.01, 1.18, 1.19, 5)
api.sell("EURUSD", 0.01, 1.18, 1.19, 5)
# symbol, volume, stoploss, takeprofit, price, deviation
api.buyLimit("EURUSD", 0.01, 1.17, 1.19, 1.18, 5)
api.sellLimit("EURUSD", 0.01, 1.20, 1.17, 1.19, 5)
#symbol, volume, stoploss, takeprofit, price, deviation
api.buyStop("EURUSD", 0.01, 1.18, 1.20, 1.19, 5)
api.sellStop("EURUSD", 0.01, 1.19, 1.17, 1.18, 5)
positions = api.positions()
if 'positions' in positions:
for position in positions['positions']:
api.CloseById(position['id'])
orders = api.order()
if 'orders' in orders:
for order in orders['orders']:
api.CancelById(order['id'])
api.positionModify( id, stoploss, takeprofit)
api.orderModify( id, stoploss, takeprofit, price)
api.CloseBySymbol("EURUSD")
# id , volume
api.ClosePartial( id, volume)
api.cancel_all()
api.close_all()
# Project Based and reference thanks for
Ding Li @dingmaotu
https://github.com/dingmaotu/mql-zmq
Nikolai khramkov @khramkov
https://github.com/khramkov/MQL5-JSON-API
source code for docker server comming soon
persistent dataframe on SQLITE database for larger storege