{
 "cells": [
  {
   "cell_type": "code",
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   "id": "d08b7f8f",
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_6681/1176555379.py:5: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
      "  data = yf.download(symbol, interval=\"30m\", period=\"5d\")\n",
      "[*********************100%***********************]  1 of 1 completed\n",
      "\n",
      "1 Failed download:\n",
      "['XAUUSD=X']: YFPricesMissingError('possibly delisted; no price data found  (period=5d) (Yahoo error = \"No data found, symbol may be delisted\")')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [(Adj Close, XAUUSD=X), (Close, XAUUSD=X), (High, XAUUSD=X), (Low, XAUUSD=X), (Open, XAUUSD=X), (Volume, XAUUSD=X)]\n",
      "Index: []\n",
      "Price      Ticker  \n",
      "Adj Close  XAUUSD=X    float64\n",
      "Close      XAUUSD=X    float64\n",
      "High       XAUUSD=X    float64\n",
      "Low        XAUUSD=X    float64\n",
      "Open       XAUUSD=X    float64\n",
      "Volume     XAUUSD=X    float64\n",
      "dtype: object\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Data for column \"Open\" must be ALL float or int.",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mValueError\u001b[39m                                Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 15\u001b[39m\n\u001b[32m     12\u001b[39m cols = [\u001b[33m\"\u001b[39m\u001b[33mOpen\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mHigh\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mLow\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mClose\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mVolume\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m     13\u001b[39m data[cols] = data[cols].astype(\u001b[38;5;28mfloat\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m15\u001b[39m \u001b[43mmpf\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcandle\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mvolume\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43myahoo\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mtitle\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43mf\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43msymbol\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[33;43m Price Chart\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mylabel\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mPrice (USD)\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mylabel_lower\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mVolume\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mfigratio\u001b[49m\u001b[43m=\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m16\u001b[39;49m\u001b[43m,\u001b[49m\u001b[32;43m9\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtight_layout\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m/workspaces/Pinescript.TradingView-Indicators.and.Strategies/.venv/lib/python3.12/site-packages/mplfinance/plotting.py:417\u001b[39m, in \u001b[36mplot\u001b[39m\u001b[34m(data, **kwargs)\u001b[39m\n\u001b[32m    414\u001b[39m \u001b[38;5;66;03m# translate alias types:\u001b[39;00m\n\u001b[32m    415\u001b[39m config[\u001b[33m'\u001b[39m\u001b[33mtype\u001b[39m\u001b[33m'\u001b[39m] = _get_valid_plot_types(config[\u001b[33m'\u001b[39m\u001b[33mtype\u001b[39m\u001b[33m'\u001b[39m])\n\u001b[32m--> \u001b[39m\u001b[32m417\u001b[39m dates,opens,highs,lows,closes,volumes = \u001b[43m_check_and_prepare_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    419\u001b[39m config[\u001b[33m'\u001b[39m\u001b[33mxlim\u001b[39m\u001b[33m'\u001b[39m] = _check_and_convert_xlim_configuration(data, config)\n\u001b[32m    421\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m config[\u001b[33m'\u001b[39m\u001b[33mtype\u001b[39m\u001b[33m'\u001b[39m] \u001b[38;5;129;01min\u001b[39;00m VALID_PMOVE_TYPES \u001b[38;5;129;01mand\u001b[39;00m config[\u001b[33m'\u001b[39m\u001b[33maddplot\u001b[39m\u001b[33m'\u001b[39m] \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m/workspaces/Pinescript.TradingView-Indicators.and.Strategies/.venv/lib/python3.12/site-packages/mplfinance/_arg_validators.py:74\u001b[39m, in \u001b[36m_check_and_prepare_data\u001b[39m\u001b[34m(data, config)\u001b[39m\n\u001b[32m     72\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m col \u001b[38;5;129;01min\u001b[39;00m cols:\n\u001b[32m     73\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mall\u001b[39m( \u001b[38;5;28misinstance\u001b[39m(v,(\u001b[38;5;28mfloat\u001b[39m,\u001b[38;5;28mint\u001b[39m)) \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m data[col] ):\n\u001b[32m---> \u001b[39m\u001b[32m74\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[33m'\u001b[39m\u001b[33mData for column \u001b[39m\u001b[33m\"\u001b[39m\u001b[33m'\u001b[39m+\u001b[38;5;28mstr\u001b[39m(col)+\u001b[33m'\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m must be ALL float or int.\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m     76\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m config[\u001b[33m'\u001b[39m\u001b[33mtz_localize\u001b[39m\u001b[33m'\u001b[39m]:\n\u001b[32m     77\u001b[39m     dates   = mdates.date2num(data.index.tz_localize(\u001b[38;5;28;01mNone\u001b[39;00m).to_pydatetime())\n",
      "\u001b[31mValueError\u001b[39m: Data for column \"Open\" must be ALL float or int."
     ]
    }
   ],
   "source": [
    "import yfinance as yf\n",
    "import mplfinance as mpf\n",
    "\n",
    "symbol = \"XAUUSD=X\"  # or \"GC=F\"\n",
    "data = yf.download(symbol, interval=\"30m\", period=\"5d\")\n",
    "\n",
    "print(data)\n",
    "print(data.dtypes)\n",
    "\n",
    "# FIX: Drop NaNs + convert to float\n",
    "data = data.dropna()\n",
    "cols = [\"Open\", \"High\", \"Low\", \"Close\", \"Volume\"]\n",
    "data[cols] = data[cols].astype(float)\n",
    "\n",
    "mpf.plot(data, type=\"candle\",volume=True,style=\"yahoo\",title=f\"{symbol} Price Chart\",ylabel=\"Price (USD)\",ylabel_lower=\"Volume\",figratio=(16,9), tight_layout=True)\n"
   ]
  }
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