finance_script.ipynb

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     "ename": "SyntaxError",
     "evalue": "invalid character '’' (U+2019) (Temp/ipykernel_17252/3144791376.py, line 1)",
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      "\u001B[1;36m  File \u001B[1;32m\"C:\\Users\\arcejua\\AppData\\Local\\Temp/ipykernel_17252/3144791376.py\"\u001B[1;36m, line \u001B[1;32m1\u001B[0m\n\u001B[1;33m    First, we’ll install the necessary packages (run this in your terminal).\u001B[0m\n\u001B[1;37m             ^\u001B[0m\n\u001B[1;31mSyntaxError\u001B[0m\u001B[1;31m:\u001B[0m invalid character '’' (U+2019)\n"
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   "source": [
    "First, we’ll install the necessary packages (run this in your terminal)."
   ]
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   "source": [
    "!pip install plotly\n",
    "!pip install yfinance"
   ],
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   "source": [
    "And then, import them into our project! (we only need plotly.graph_objs for this program)."
   ],
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   "source": [
    "import plotly.graph_objs as go\n",
    "import yfinance as yf"
   ],
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   "source": [
    "## Getting the Information\n",
    "Since we can download the information from Yahoo Finance with this snippet of code,"
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   "source": [
    "data = yf.download(tickers=stock_price, period = ‘how_many_days’, interval = ‘how_long_between_each_check’, rounding= bool)"
   ],
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   "source": [
    "printing out Google’s stock price info can be just as simple as this."
   ],
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   "source": [
    "data = yf.download(tickers='GOOG', period = '5d', interval = '15m', rounding= True)\n",
    "print(data)"
   ],
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   "source": [
    "## Graphs\n",
    "This isn’t very user-friendly for someone who doesn’t know a lot about stocks, so let’s also make a Candlestick graph with the help of Plotly.\n",
    "We’re going to define a figure,"
   ],
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   "source": [
    "fig = go.Figure()"
   ],
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   "source": [
    "add a trace for a Candlestick graph"
   ],
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   "source": [
    "add a trace for a Candlestick graph"
   ],
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    "scrape all the information from our downloaded info,"
   ],
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   "source": [
    "fig.add_trace(go.Candlestick(x=data.index,open = data[‘Open’], high=data[‘High’], low=data[‘Low’], close=data[‘Close’], name = ‘market data’))"
   ],
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   "source": [
    "and update the text around the graph."
   ],
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   "source": [
    "fig.update_layout(title = 'Google share price’, yaxis_title = ‘Stock Price (USD)’)"
   ],
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   "source": [
    "We’ll also add shortcut buttons to it."
   ],
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    "fig.update_xaxes(\n",
    "rangeslider_visible=True,\n",
    "rangeselector=dict(\n",
    "buttons=list([\n",
    "dict(count=15, label=’15m’, step=”minute”, stepmode=”backward”),\n",
    "dict(count=45, label=’45m’, step=”minute”, stepmode=”backward”),\n",
    "dict(count=1, label=’1h’, step=”hour”, stepmode=”backward”),\n",
    "dict(count=6, label=’6h’, step=”hour”, stepmode=”backward”),\n",
    "dict(step=”all”)\n",
    "])\n",
    ")"
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   "source": [
    "Lastly, let’s show the figure!"
   ],
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    "fig.show()\n",
    "\n"
   ],
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