Python1.png

Architecture (Simple & Reliable)

MT5 terminal (logged in)
↓
MetaTrader5 Python API
↓
Python Agent (Market Watcher)
↓
Trend / Volatility / Levels / Candle Logic

Important truth:

MT5 does NOT push data outward

Python pulls data from MT5

This is stable, fast, and widely used in algo trading

https://www.python.org/downloads/windows/
Download Python version 3.10.11. 64 bit. Other versions don't work. MT5 is way behind technology.

Code: Select all

https://www.python.org/ftp/python/3.10.11/python-3.10.11-amd64.exe

Step 1 — Install Required Software
Install Python (if not already)

Version: Python 3.9 – 3.11

Check “Add Python to PATH”

Verify:

Code: Select all

python --version

Install MetaTrader5 Python Package

Code: Select all

pip install MetaTrader5 pandas numpy

Step 2 — Prepare MT5 Terminal
In MT5:

Open MT5
Login to your trading account
Go to:
Code: Select all
```
Tools → Options → Expert Advisors
```
Enable:
- Allow algorithmic trading
- Allow WebRequest (optional for later)
Keep MT5 OPEN (Python connects to the running terminal)

Step 3 — Test MT5 → Python Connection
Minimal Connection Test

Code: Select all

import MetaTrader5 as mt5

# Initialize MT5 connection
if not mt5.initialize():
    print("MT5 initialize failed")
    mt5.shutdown()
else:
    print("MT5 connected successfully")

# Check account info
account = mt5.account_info()
print(account)

mt5.shutdown()

If this prints your account details → you’re connected

Step 4 — Pull XAUUSD Market Data
Fetch Candles (OHLC)
i

Code: Select all

mport MetaTrader5 as mt5
import pandas as pd

mt5.initialize()

SYMBOL = "XAUUSD"
TIMEFRAME = mt5.TIMEFRAME_M5   # 5-minute candles
BARS = 300

rates = mt5.copy_rates_from_pos(SYMBOL, TIMEFRAME, 0, BARS)

df = pd.DataFrame(rates)
df['time'] = pd.to_datetime(df['time'], unit='s')

print(df.tail())

mt5.shutdown()

This gives you:

Open

High

Volume

Time

This is your raw feed for Agent 1

Attachments forums

Re: Banzai's [MT5] [Python] Personal AI Trading Co-pilots