Python

Uses the requests package (pip install requests) and, for streaming, websocket-client.

All examples assume the EA is running on the same computer with default ports. Order examples are for demo accounts.

Get a price

import requests

API = "http://127.0.0.1:81"
q = requests.get(f"{API}/v1/quote", params={"symbol": "EURUSD"}).json()
print(q["SYMBOL"], q["BID"], q["ASK"])

Send and close an order (demo)

r = requests.post(f"{API}/v1/order", params={
    "symbol": "EURUSD", "volume": 0.01, "type": "ORDER_TYPE_BUY",
    "sl": 1.1050, "tp": 1.1200, "comment": "python"}).json()
if r["ERROR_ID"] == 0:
    ticket = r["ORDER"]
    print("opened", ticket)
    c = requests.post(f"{API}/v1/order/close", params={"ticket": ticket}).json()
    print(c["TYPE"], c["RETCODE"])
else:
    print("error", r["ERROR_ID"], r["ERROR_DESCRIPTION"])

Candles into pandas

import pandas as pd

h = requests.get(f"{API}/v1/history/prices", params={
    "symbol": "EURUSD", "timeframe": "PERIOD_H1",
    "from_date": "2026.10.01 00:00:00", "to_date": "2026.10.28 00:00:00"}).json()
df = pd.DataFrame(h["RATES"])
print(df.tail())

Stream ticks

import json, websocket   # pip install websocket-client

requests.post(f"{API}/v1/track/prices", params={"symbols": "EURUSD,XAUUSD"})
ws = websocket.create_connection("ws://127.0.0.1:81")
while True:
    msg = json.loads(ws.recv())
    if msg["MSG"] == "TRACK_PRICES":
        print(msg["TIME"], msg["SYMBOL"], msg["BID"], msg["ASK"])