Metatrader API
Project description
Python Metatrader DataFrame API 2.0
Instalation for docker Metatrader 5 Server API
first make sure you have docker installed on your pc
run this command on your terminal or powershell
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 ejtradermt_server -v ejtraderMT:/data sostrader/ejtradermt_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
Installation for Python API
pip install ejtraderMT
or
git clone https://github.com/traderpedroso/ejtraderMT
cd ejtraderMT
python setup.py install
import
from ejtraderMT import Metatrader
Connect Metatrader 5
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 local Time on the dataFrame Metatrader(localtime=True)
attention broker 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)
'''
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.order
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 Dataframe Ready
History from Date to Date
symbol = ["EURUSD"]
timeframe = "M1"
fromDate = "20/02/2021"
toDate = "24/02/2021"
history = mt.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]
History by period unit like 27 candles
symbol = "EURUSD"
timeframe = "M1"
fromDate = 27
history = mt.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
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.live_price
while True:
price = connect.recv_json()
print(price)
def event():
connect = api.live_event
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ejtraderMT-2.0.0.tar.gz
(11.9 kB
view hashes)
Built Distribution
Close
Hashes for ejtraderMT-2.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d40387de1f2535d097130f486505a56fa05c2d6e1a873d9dc9f465d95307e9bc |
|
MD5 | 03fc863a2654bb35fdf617c99103d93e |
|
BLAKE2b-256 | 8259140d4d2ec3804cd47b9a0ea7286e5467f52612e36fa802909d10083ba4ca |