{
"cells": [
{
"cell_type": "markdown",
"id": "94399371",
"metadata": {},
"source": [
"#### Пример использования библиотеки yfinance, для построения графиков последней цены опционов Put и Call по акциям Microsoft"
]
},
{
"cell_type": "markdown",
"id": "f9370ccf",
"metadata": {},
"source": [
"Импортируем основную библиотеку yfinance, а для построения графиков импортируем matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "600d2507",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'3.4.3'"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Import yfinance package\n",
"import yfinance as yf\n",
"\n",
"# Для построения графиков\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib\n",
"%matplotlib inline\n",
"matplotlib.__version__"
]
},
{
"cell_type": "markdown",
"id": "1cd2f819",
"metadata": {},
"source": [
"Выбираем стиль для графиков"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "090072ac",
"metadata": {},
"outputs": [],
"source": [
"plt.style.use('seaborn-darkgrid')"
]
},
{
"cell_type": "markdown",
"id": "a1aba60e",
"metadata": {},
"source": [
"Создаем переменную для размера шрифта"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "1e9a9053",
"metadata": {},
"outputs": [],
"source": [
"FONT_SIZE = 16"
]
},
{
"cell_type": "markdown",
"id": "6c83032c",
"metadata": {},
"source": [
"Создаем переменную тикер для акций Microsoft"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "860086ee",
"metadata": {},
"outputs": [],
"source": [
"msft = yf.Ticker('MSFT')"
]
},
{
"cell_type": "markdown",
"id": "90a9a75e",
"metadata": {},
"source": [
"Выводим все даты экспирации для опционов Microsoft"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "52c8a982",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('2022-02-18',\n",
" '2022-02-25',\n",
" '2022-03-04',\n",
" '2022-03-11',\n",
" '2022-03-18',\n",
" '2022-03-25',\n",
" '2022-04-01',\n",
" '2022-04-14',\n",
" '2022-05-20',\n",
" '2022-06-17',\n",
" '2022-07-15',\n",
" '2022-08-19',\n",
" '2022-09-16',\n",
" '2023-01-20',\n",
" '2023-03-17',\n",
" '2023-06-16',\n",
" '2024-01-19')"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"msft.options"
]
},
{
"cell_type": "markdown",
"id": "93a0e83d",
"metadata": {},
"source": [
"Будем работать с таблицей опционов с ближайщей датой экспирации"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "143d4999",
"metadata": {},
"outputs": [],
"source": [
"option_chain = msft.option_chain(date=msft.options[0])"
]
},
{
"cell_type": "markdown",
"id": "a8822ff6",
"metadata": {},
"source": [
"Распечатаем начало таблицы с Колами"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "9484e8c1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" contractSymbol | \n",
" lastTradeDate | \n",
" strike | \n",
" lastPrice | \n",
" bid | \n",
" ask | \n",
" change | \n",
" percentChange | \n",
" volume | \n",
" openInterest | \n",
" impliedVolatility | \n",
" inTheMoney | \n",
" contractSize | \n",
" currency | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" MSFT220218C00145000 | \n",
" 2021-12-16 15:54:47+00:00 | \n",
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" 167.5 | \n",
" 0.0 | \n",
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\n",
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" MSFT220218C00150000 | \n",
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" 150.0 | \n",
" 161.95 | \n",
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" 3 | \n",
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" REGULAR | \n",
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\n",
" \n",
" 2 | \n",
" MSFT220218C00155000 | \n",
" 2022-01-25 20:34:53+00:00 | \n",
" 155.0 | \n",
" 136.60 | \n",
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" REGULAR | \n",
" USD | \n",
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\n",
" \n",
" 3 | \n",
" MSFT220218C00160000 | \n",
" 2022-02-07 19:45:12+00:00 | \n",
" 160.0 | \n",
" 143.94 | \n",
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\n",
" \n",
" 4 | \n",
" MSFT220218C00165000 | \n",
" 2022-01-28 19:55:09+00:00 | \n",
" 165.0 | \n",
" 136.88 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 8.0 | \n",
" 10 | \n",
" 0.00001 | \n",
" True | \n",
" REGULAR | \n",
" USD | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" contractSymbol lastTradeDate strike lastPrice bid \\\n",
"0 MSFT220218C00145000 2021-12-16 15:54:47+00:00 145.0 187.00 163.1 \n",
"1 MSFT220218C00150000 2022-01-31 15:23:10+00:00 150.0 161.95 0.0 \n",
"2 MSFT220218C00155000 2022-01-25 20:34:53+00:00 155.0 136.60 0.0 \n",
"3 MSFT220218C00160000 2022-02-07 19:45:12+00:00 160.0 143.94 0.0 \n",
"4 MSFT220218C00165000 2022-01-28 19:55:09+00:00 165.0 136.88 0.0 \n",
"\n",
" ask change percentChange volume openInterest impliedVolatility \\\n",
"0 167.5 0.0 0.0 4.0 9 6.68091 \n",
"1 0.0 0.0 0.0 1.0 3 0.00001 \n",
"2 0.0 0.0 0.0 2.0 7 0.00001 \n",
"3 0.0 0.0 0.0 2.0 28 0.00001 \n",
"4 0.0 0.0 0.0 8.0 10 0.00001 \n",
"\n",
" inTheMoney contractSize currency \n",
"0 True REGULAR USD \n",
"1 True REGULAR USD \n",
"2 True REGULAR USD \n",
"3 True REGULAR USD \n",
"4 True REGULAR USD "
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"option_chain.calls.head()"
]
},
{
"cell_type": "markdown",
"id": "e1a825a9",
"metadata": {},
"source": [
"Распечатаем начало таблицы с Путами"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "5a367669",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" contractSymbol | \n",
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" strike | \n",
" lastPrice | \n",
" bid | \n",
" ask | \n",
" change | \n",
" percentChange | \n",
" volume | \n",
" openInterest | \n",
" impliedVolatility | \n",
" inTheMoney | \n",
" contractSize | \n",
" currency | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" MSFT220218P00145000 | \n",
" 2022-02-09 17:50:14+00:00 | \n",
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" 0.0 | \n",
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" REGULAR | \n",
" USD | \n",
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\n",
" \n",
" 1 | \n",
" MSFT220218P00150000 | \n",
" 2022-01-31 15:53:47+00:00 | \n",
" 150.0 | \n",
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" 0.0 | \n",
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" 100.0 | \n",
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" REGULAR | \n",
" USD | \n",
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\n",
" \n",
" 2 | \n",
" MSFT220218P00155000 | \n",
" 2022-02-11 19:09:53+00:00 | \n",
" 155.0 | \n",
" 0.01 | \n",
" 0.0 | \n",
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" 0.0 | \n",
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\n",
" \n",
" 3 | \n",
" MSFT220218P00160000 | \n",
" 2022-01-31 19:31:58+00:00 | \n",
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" USD | \n",
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\n",
" \n",
" 4 | \n",
" MSFT220218P00165000 | \n",
" 2022-02-11 19:12:09+00:00 | \n",
" 165.0 | \n",
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"text/plain": [
" contractSymbol lastTradeDate strike lastPrice bid ask \\\n",
"0 MSFT220218P00145000 2022-02-09 17:50:14+00:00 145.0 0.01 0.0 0.0 \n",
"1 MSFT220218P00150000 2022-01-31 15:53:47+00:00 150.0 0.01 0.0 0.0 \n",
"2 MSFT220218P00155000 2022-02-11 19:09:53+00:00 155.0 0.01 0.0 0.0 \n",
"3 MSFT220218P00160000 2022-01-31 19:31:58+00:00 160.0 0.01 0.0 0.0 \n",
"4 MSFT220218P00165000 2022-02-11 19:12:09+00:00 165.0 0.01 0.0 0.0 \n",
"\n",
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"0 0.0 0.0 1.0 474 0.500005 False \n",
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"3 0.0 0.0 5.0 465 0.500005 False \n",
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"3 REGULAR USD \n",
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]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"option_chain.puts.head()"
]
},
{
"cell_type": "markdown",
"id": "9a989245",
"metadata": {},
"source": [
"Выбираем наименование шрифта"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "f839497a-75ea-4c3d-9380-fff085ffba14",
"metadata": {},
"outputs": [],
"source": [
"matplotlib.rcParams['font.family'] = 'fantasy'\n",
"matplotlib.rcParams['font.fantasy'] = 'Tahoma','Calibri', 'Ubuntu','Arial',"
]
},
{
"cell_type": "markdown",
"id": "a3dc486c",
"metadata": {},
"source": [
"Строим график по последним ценам для опционов Call для разных страйков"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "6e080f44",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Microsoft последние цены Call опционов для различных страйков')"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
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