stocks/calculate_shares.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import yaml\n",
    "from matplotlib import pyplot as plt\n",
    "from datetime import datetime as dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "config file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"..\\\\budget_book\\config.ini\", \"r\") as ymlfile:\n",
    "    cfg = yaml.safe_load(ymlfile)\n",
    "\n",
    "clm = cfg['column names database']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "read historic stock prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GOOG</th>\n",
       "      <th>IE00B57X3V84</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>83.911250</td>\n",
       "      <td>48.886866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>84.014782</td>\n",
       "      <td>49.896393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>81.716371</td>\n",
       "      <td>48.980021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>83.689393</td>\n",
       "      <td>50.094003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 GOOG  IE00B57X3V84\n",
       "Date                               \n",
       "2023-01-02        NaN           NaN\n",
       "2023-01-03  83.911250     48.886866\n",
       "2023-01-04  84.014782     49.896393\n",
       "2023-01-05  81.716371     48.980021\n",
       "2023-01-06  83.689393     50.094003"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stockdata = pd.read_csv( 'stockdata.csv', encoding = 'ISO-8859-1' )\n",
    "\n",
    "stockdata[\"Date\"] = pd.to_datetime( stockdata[\"Date\"] , format = '%Y-%m-%d' )\n",
    "stockdata.set_index(\"Date\", inplace=True)\n",
    "\n",
    "stockdata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 year performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GOOG            14.314499\n",
       "IE00B57X3V84     7.824650\n",
       "dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(stockdata.iloc[-1] / stockdata[stockdata.index >= dt(dt.today().year - 1 , dt.today().month , dt.today().day)].iloc[0] - 1)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "stocks = list(stockdata.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "read stock transactions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-02</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-09-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-03</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-05-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-03</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-13</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>GOOG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-02-01</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>200.0</td>\n",
       "      <td>IE00B57X3V84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            amount   description\n",
       "date                            \n",
       "2023-12-01   200.0  IE00B57X3V84\n",
       "2023-11-01   200.0  IE00B57X3V84\n",
       "2023-10-02   200.0  IE00B57X3V84\n",
       "2023-09-01   200.0  IE00B57X3V84\n",
       "2023-08-01   200.0  IE00B57X3V84\n",
       "2023-07-03   200.0  IE00B57X3V84\n",
       "2023-06-01   200.0  IE00B57X3V84\n",
       "2023-05-01   200.0  IE00B57X3V84\n",
       "2023-04-03   200.0  IE00B57X3V84\n",
       "2023-03-13  1000.0          GOOG\n",
       "2023-03-01   200.0  IE00B57X3V84\n",
       "2023-02-01   200.0  IE00B57X3V84\n",
       "2023-01-03   200.0  IE00B57X3V84"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions = pd.read_csv( 'stock_transactions.csv', encoding = 'ISO-8859-1' )\n",
    "\n",
    "transactions['date'] = pd.to_datetime( transactions['date'] , format = '%Y-%m-%d' )\n",
    "transactions.set_index(clm[\"date\"], inplace=True)\n",
    "\n",
    "transactions.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "subtract fee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fee(x):\n",
    "    return x - 4.9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "calculate total invested money & aquired shares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">GOOG</th>\n",
       "      <th colspan=\"2\" halign=\"left\">IE00B57X3V84</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>invest €</th>\n",
       "      <th>shares</th>\n",
       "      <th>invest €</th>\n",
       "      <th>shares</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>200.0</td>\n",
       "      <td>3.990847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-02-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>400.0</td>\n",
       "      <td>7.792032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>600.0</td>\n",
       "      <td>11.604045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-13</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>600.0</td>\n",
       "      <td>11.604045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-03</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>800.0</td>\n",
       "      <td>15.322039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-05-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>19.074404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>22.643125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-03</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>26.150136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>29.584792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-09-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>33.029972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-02</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>36.535249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>40.102759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-01</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>11.61182</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>43.464633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               GOOG           IE00B57X3V84           \n",
       "           invest €    shares     invest €     shares\n",
       "date                                                 \n",
       "2023-01-03      0.0   0.00000        200.0   3.990847\n",
       "2023-02-01      0.0   0.00000        400.0   7.792032\n",
       "2023-03-01      0.0   0.00000        600.0  11.604045\n",
       "2023-03-13   1000.0  11.61182        600.0  11.604045\n",
       "2023-04-03   1000.0  11.61182        800.0  15.322039\n",
       "2023-05-01   1000.0  11.61182       1000.0  19.074404\n",
       "2023-06-01   1000.0  11.61182       1200.0  22.643125\n",
       "2023-07-03   1000.0  11.61182       1400.0  26.150136\n",
       "2023-08-01   1000.0  11.61182       1600.0  29.584792\n",
       "2023-09-01   1000.0  11.61182       1800.0  33.029972\n",
       "2023-10-02   1000.0  11.61182       2000.0  36.535249\n",
       "2023-11-01   1000.0  11.61182       2200.0  40.102759\n",
       "2023-12-01   1000.0  11.61182       2400.0  43.464633"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shares = transactions.join(stockdata).sort_index()\n",
    "\n",
    "transactions_columns = [(column, ''       ) for column in transactions.columns]\n",
    "share_columns        = [(stock , 'price €') for stock  in stocks              ]\n",
    "shares.columns = pd.MultiIndex.from_tuples(transactions_columns + share_columns)\n",
    "\n",
    "for stock in stocks:\n",
    "    shares[(stock, 'invest €')] = shares[clm[\"text\"]].str.contains(stock) * shares[clm[\"amount\"]]\n",
    "    shares[(stock, 'invest €')] = shares[(stock, 'invest €')].cumsum()\n",
    "\n",
    "    shares[(stock, 'shares'  )] = shares[clm[\"text\"]].str.contains(stock) * shares[clm[\"amount\"]].map(fee) / shares[(stock, 'price €')]\n",
    "    shares[(stock, 'shares'  )] = shares[(stock, 'shares')].cumsum()\n",
    "\n",
    "shares.drop(share_columns + transactions_columns, axis = 1, inplace=True)\n",
    "\n",
    "shares = shares.reindex(sorted(shares.columns), axis=1)\n",
    "\n",
    "shares.tail(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "filter time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# stockdata = stockdata[stockdata.index > dt(dt.today().year - 1 , dt.today().month , 1) ]\n",
    "stockdata = stockdata[stockdata.index >= transactions.index[-1] ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "join stock prices & shares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "stockdata.columns = pd.MultiIndex.from_tuples(share_columns)\n",
    "\n",
    "data = stockdata.join(shares.resample('1D').mean(numeric_only=True).interpolate(method='pad')).interpolate(method='pad')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "calculate value, profit, performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">GOOG</th>\n",
       "      <th colspan=\"3\" halign=\"left\">IE00B57X3V84</th>\n",
       "      <th colspan=\"3\" halign=\"left\">all</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>invest €</th>\n",
       "      <th>profit €</th>\n",
       "      <th>value €</th>\n",
       "      <th>invest €</th>\n",
       "      <th>profit €</th>\n",
       "      <th>value €</th>\n",
       "      <th>invest €</th>\n",
       "      <th>profit €</th>\n",
       "      <th>value €</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-12-25</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>501.767587</td>\n",
       "      <td>1501.767587</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>176.825244</td>\n",
       "      <td>2576.825244</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>678.592831</td>\n",
       "      <td>4078.592831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>503.154968</td>\n",
       "      <td>1503.154968</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>186.256637</td>\n",
       "      <td>2586.256637</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>689.411604</td>\n",
       "      <td>4089.411604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>485.562982</td>\n",
       "      <td>1485.562982</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>188.864500</td>\n",
       "      <td>2588.864500</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>674.427483</td>\n",
       "      <td>4074.427483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>475.115671</td>\n",
       "      <td>1475.115671</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>177.482103</td>\n",
       "      <td>2577.482103</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>652.597775</td>\n",
       "      <td>4052.597775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>476.839027</td>\n",
       "      <td>1476.839027</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>190.436276</td>\n",
       "      <td>2590.436276</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>667.275303</td>\n",
       "      <td>4067.275303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               GOOG                          IE00B57X3V84              \\\n",
       "           invest €    profit €      value €     invest €    profit €   \n",
       "Date                                                                    \n",
       "2023-12-25   1000.0  501.767587  1501.767587       2400.0  176.825244   \n",
       "2023-12-26   1000.0  503.154968  1503.154968       2400.0  186.256637   \n",
       "2023-12-27   1000.0  485.562982  1485.562982       2400.0  188.864500   \n",
       "2023-12-28   1000.0  475.115671  1475.115671       2400.0  177.482103   \n",
       "2023-12-29   1000.0  476.839027  1476.839027       2400.0  190.436276   \n",
       "\n",
       "                             all                           \n",
       "                value € invest €    profit €      value €  \n",
       "Date                                                       \n",
       "2023-12-25  2576.825244   3400.0  678.592831  4078.592831  \n",
       "2023-12-26  2586.256637   3400.0  689.411604  4089.411604  \n",
       "2023-12-27  2588.864500   3400.0  674.427483  4074.427483  \n",
       "2023-12-28  2577.482103   3400.0  652.597775  4052.597775  \n",
       "2023-12-29  2590.436276   3400.0  667.275303  4067.275303  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for stock in stocks:\n",
    "    data[(stock, 'value €') ] =  data[(stock, 'price €')] * data[(stock, 'shares')]\n",
    "    data[(stock, 'profit €')] =  data[(stock, 'value €')] - data[(stock, 'invest €')]\n",
    "\n",
    "data[('all', 'invest €') ] =  data.xs('invest €', axis=1, level=1).sum(axis=1)\n",
    "data[('all', 'value €' ) ] =  data.xs('value €' , axis=1, level=1).sum(axis=1)\n",
    "data[('all', 'profit €') ] =  data.xs('profit €', axis=1, level=1).sum(axis=1)\n",
    "\n",
    "shares_columns = [(stock, 'shares') for stock  in stocks]\n",
    "data.drop(share_columns + shares_columns, axis = 1, inplace=True)\n",
    "\n",
    "data = data.reindex(sorted(data.columns), axis=1)\n",
    "\n",
    "data.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23703cd1e90>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n",
    "\n",
    "fig,ax = plt.subplots(1)\n",
    "for i, stock in enumerate(stocks):\n",
    "    data[(stock, 'value €') ].plot(label='value '    + stock, color=colors[i])\n",
    "    data[(stock, 'invest €')].plot(label='invested ' + stock, color=colors[i]  , linestyle=':' )\n",
    "data[('all', 'value €' )    ].plot(label='value all'   ,      color=colors[i+1], linestyle='--')\n",
    "data[('all', 'invest €')    ].plot(label='invested all',      color=colors[i+1], linestyle=':' )\n",
    "plt.grid()\n",
    "plt.ylabel('invested & value / €')\n",
    "plt.legend()\n",
    "# ax.set_yticklabels([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23703ca4d90>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for stock in stocks:\n",
    "    data[(stock, 'profit €')].plot(label='profit ' + stock)\n",
    "data[('all', 'profit €')    ].plot(label='profit all', linestyle='--')\n",
    "plt.grid()\n",
    "plt.ylabel('profit / €')\n",
    "plt.legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}