{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "6b392090-ead8-4993-855b-d207aa09f57c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 25.2 -> 25.3\n",
      "[notice] To update, run: C:\\Users\\User\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 25.2 -> 25.3\n",
      "[notice] To update, run: C:\\Users\\User\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 25.2 -> 25.3\n",
      "[notice] To update, run: C:\\Users\\User\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 25.2 -> 25.3\n",
      "[notice] To update, run: C:\\Users\\User\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "!pip install MetaTrader5 --quiet\n",
    "!pip install pandas --quiet\n",
    "!pip install dateandtime --quiet\n",
    "!pip install mplfinance --quiet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cb9a0210-b63a-4d16-8494-885d474f108f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# documentation: https://www.mql5.com/en/docs/integration/python_metatrader5\n",
    "\n",
    "import MetaTrader5 as mt\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "82bb446e-6e0c-40d6-a200-a84318a5d010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# start the platform with initialize()\n",
    "mt.initialize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "9b1d4f1e-17e4-47c4-ac82-2617e1bc6fc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# porfolio specification\n",
    "login = 272816110\n",
    "password = '[Pass123]'\n",
    "server = 'Exness-MT5Trial14'\n",
    "\n",
    "mt.login(login, password, server)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d86b0740-bfa7-4c03-a53f-7b717d6d3911",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AccountInfo(login=272816110, trade_mode=0, leverage=2000000000, limit_orders=1024, margin_so_mode=0, trade_allowed=True, trade_expert=True, margin_mode=2, currency_digits=2, fifo_close=False, balance=20.0, credit=0.0, profit=0.0, equity=20.0, margin=0.0, margin_free=20.0, margin_level=0.0, margin_so_call=60.0, margin_so_so=0.0, margin_initial=0.0, margin_maintenance=0.0, assets=0.0, liabilities=0.0, commission_blocked=0.0, name='cantcentthebotbruh', server='Exness-MT5Trial14', currency='USD', company='Exness Technologies Ltd')\n",
      "\n",
      "login:  272816110\n",
      "balance:  20.0\n",
      "equity:  20.0\n"
     ]
    }
   ],
   "source": [
    "# get account info\n",
    "account_info = mt.account_info()\n",
    "print(account_info)\n",
    "\n",
    "# getting specific account data\n",
    "login_number = account_info.login\n",
    "balance = account_info.balance\n",
    "equity = account_info.equity\n",
    "\n",
    "print()\n",
    "print('login: ', login_number)\n",
    "print('balance: ', balance)\n",
    "print('equity: ', equity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c62a62d3-2a93-4811-97e3-0178af9a626b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'custom': False,\n",
       " 'chart_mode': 0,\n",
       " 'select': True,\n",
       " 'visible': True,\n",
       " 'session_deals': 0,\n",
       " 'session_buy_orders': 0,\n",
       " 'session_sell_orders': 0,\n",
       " 'volume': 0,\n",
       " 'volumehigh': 0,\n",
       " 'volumelow': 0,\n",
       " 'time': 1763449467,\n",
       " 'digits': 3,\n",
       " 'spread': 160,\n",
       " 'spread_float': True,\n",
       " 'ticks_bookdepth': 0,\n",
       " 'trade_calc_mode': 0,\n",
       " 'trade_mode': 4,\n",
       " 'start_time': 0,\n",
       " 'expiration_time': 0,\n",
       " 'trade_stops_level': 0,\n",
       " 'trade_freeze_level': 0,\n",
       " 'trade_exemode': 2,\n",
       " 'swap_mode': 1,\n",
       " 'swap_rollover3days': 3,\n",
       " 'margin_hedged_use_leg': False,\n",
       " 'expiration_mode': 15,\n",
       " 'filling_mode': 3,\n",
       " 'order_mode': 127,\n",
       " 'order_gtc_mode': 0,\n",
       " 'option_mode': 0,\n",
       " 'option_right': 0,\n",
       " 'bid': 4006.8,\n",
       " 'bidhigh': 4045.052,\n",
       " 'bidlow': 4004.779,\n",
       " 'ask': 4006.96,\n",
       " 'askhigh': 4045.212,\n",
       " 'asklow': 4004.939,\n",
       " 'last': 0.0,\n",
       " 'lasthigh': 0.0,\n",
       " 'lastlow': 0.0,\n",
       " 'volume_real': 0.0,\n",
       " 'volumehigh_real': 0.0,\n",
       " 'volumelow_real': 0.0,\n",
       " 'option_strike': 0.0,\n",
       " 'point': 0.001,\n",
       " 'trade_tick_value': 0.1,\n",
       " 'trade_tick_value_profit': 0.1,\n",
       " 'trade_tick_value_loss': 0.1,\n",
       " 'trade_tick_size': 0.001,\n",
       " 'trade_contract_size': 100.0,\n",
       " 'trade_accrued_interest': 0.0,\n",
       " 'trade_face_value': 0.0,\n",
       " 'trade_liquidity_rate': 0.0,\n",
       " 'volume_min': 0.01,\n",
       " 'volume_max': 200.0,\n",
       " 'volume_step': 0.01,\n",
       " 'volume_limit': 0.0,\n",
       " 'swap_long': -510.0,\n",
       " 'swap_short': 0.0,\n",
       " 'margin_initial': 0.0,\n",
       " 'margin_maintenance': 0.0,\n",
       " 'session_volume': 0.0,\n",
       " 'session_turnover': 0.0,\n",
       " 'session_interest': 0.0,\n",
       " 'session_buy_orders_volume': 0.0,\n",
       " 'session_sell_orders_volume': 0.0,\n",
       " 'session_open': 4036.862,\n",
       " 'session_close': 4036.825,\n",
       " 'session_aw': 0.0,\n",
       " 'session_price_settlement': 0.0,\n",
       " 'session_price_limit_min': 0.0,\n",
       " 'session_price_limit_max': 0.0,\n",
       " 'margin_hedged': 0.0,\n",
       " 'price_change': -0.7438,\n",
       " 'price_volatility': 0.0,\n",
       " 'price_theoretical': 0.0,\n",
       " 'price_greeks_delta': 0.0,\n",
       " 'price_greeks_theta': 0.0,\n",
       " 'price_greeks_gamma': 0.0,\n",
       " 'price_greeks_vega': 0.0,\n",
       " 'price_greeks_rho': 0.0,\n",
       " 'price_greeks_omega': 0.0,\n",
       " 'price_sensitivity': 0.0,\n",
       " 'basis': '',\n",
       " 'category': 'Metals',\n",
       " 'currency_base': 'XAU',\n",
       " 'currency_profit': 'USD',\n",
       " 'currency_margin': 'XAU',\n",
       " 'bank': '',\n",
       " 'description': 'Gold vs US Dollar',\n",
       " 'exchange': '',\n",
       " 'formula': '',\n",
       " 'isin': '',\n",
       " 'name': 'XAUUSDm',\n",
       " 'page': '',\n",
       " 'path': 'Standard\\\\Forex\\\\XAUUSDm'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get symbol specifications\n",
    "symbol_info = mt.symbol_info(\"XAUUSDm\")._asdict()\n",
    "symbol_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fc4053a7-6aa0-4ebc-a95c-5d325476360b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                         Open      High       Low     Close  Volume\n",
      "time                                                               \n",
      "2025-11-14 12:10:00  4135.493  4135.609  4123.926  4125.966    4320\n",
      "2025-11-14 12:15:00  4126.021  4128.646  4115.812  4118.677    4000\n",
      "2025-11-14 12:20:00  4118.634  4121.268  4112.414  4119.973    4405\n",
      "2025-11-14 12:25:00  4120.022  4121.387  4110.869  4113.405    3320\n",
      "2025-11-14 12:30:00  4113.459  4118.210  4110.070  4114.769    3037\n"
     ]
    }
   ],
   "source": [
    "#Fetch OHLC + Tick Volume\n",
    "\n",
    "# Fetch data\n",
    "rates = mt.copy_rates_from_pos(symbol, mt.TIMEFRAME_M5, 0, 500)\n",
    "\n",
    "# Convert to DataFrame\n",
    "df = pd.DataFrame(rates)\n",
    "\n",
    "# Convert timestamp to datetime\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "\n",
    "# Set time as index\n",
    "df.set_index('time', inplace=True)\n",
    "\n",
    "# Keep OHLC + volume\n",
    "df = df[['open', 'high', 'low', 'close', 'tick_volume']]\n",
    "\n",
    "# Rename columns\n",
    "df.rename(columns={\n",
    "    'open': 'Open',\n",
    "    'high': 'High',\n",
    "    'low': 'Low',\n",
    "    'close': 'Close',\n",
    "    'tick_volume': 'Volume'\n",
    "}, inplace=True)\n",
    "\n",
    "# Optional: show the dataframe\n",
    "print(df.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5ebfd032-5b16-4f8f-929c-6e2a75134079",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(\n",
    "    df,\n",
    "    type='candle',\n",
    "    style='charles',\n",
    "    volume=True,        # <-- show volume bars\n",
    "    title=f\"{symbol} Candlestick + Volume\",\n",
    "    ylabel=\"Price\",\n",
    "    ylabel_lower=\"Volume\",\n",
    "    figsize=(12,6)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acd22143-7fed-47e7-8bce-0feb877ef792",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}