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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "from bokeh.plotting import figure, output_notebook, show"
   ]
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   "source": [
    "# define Bollinger bands\n",
    "upperband = np.random.randint(100, 150, size=100)\n",
    "lowerband = upperband - 100\n",
    "x_data = np.arange(1, 101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# shading glyph for Bollinger bands\n",
    "band_x = np.append(x_data, x_data[::-1]) \n",
    "band_y = np.append(lowerband, upperband[::-1])  "
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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   "source": [
    "p = figure(x_axis_type='datetime', title = 'Bollinger Bands')\n",
    "p.x_range.range_padding = 0\n",
    "p.plot_height = 600\n",
    "p.plot_width = 800\n",
    "p.grid.grid_line_alpha = 0.4"
   ]
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   "cell_type": "code",
   "execution_count": 7,
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    {
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       "<bokeh.models.renderers.GlyphRenderer at 0x104a430f0>"
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   "source": [
    "p.patch(band_x, band_y, color='#7570B3', fill_alpha=0.2)"
   ]
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   "execution_count": 8,
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