{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Example: Portfolio\n\nThis example, shows how you view your portfolio\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from tenbagger.src.portfolio.core import Portfolio\n\n\ndef main():\n\n    port = Portfolio(PORTFOLIO)\n    port.unification()\n    print(port.df)\n\n\n\n\nif __name__ == '__main__':\n\n    PORTFOLIO = {\n        'IBM': 10,\n        'BTC-USD': 0.5,\n        'AAPl': 2,\n        'ETH-USD': 2,\n        'TSLA': 10\n    }\n\n    main()"
      ]
    }
  ],
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      "file_extension": ".py",
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      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.9"
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