{"id":200461,"date":"2023-12-22T09:20:52","date_gmt":"2023-12-22T14:20:52","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=200461"},"modified":"2023-12-22T09:20:37","modified_gmt":"2023-12-22T14:20:37","slug":"stock-market-data-obtaining-data-visualization-analysis-in-python-part-iii","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/stock-market-data-obtaining-data-visualization-analysis-in-python-part-iii\/","title":{"rendered":"Stock Market Data: Obtaining Data, Visualization &amp; Analysis in Python &#8211; Part III"},"content":{"rendered":"\n<p><em>Learn how to get historical data for stocks with&nbsp;<a href=\"\/campus\/ibkr-quant-news\/stock-market-data-obtaining-data-visualization-analysis-in-python\/\">Part&nbsp;<\/a>I and how to convert 1-minute data to 1-hour data or resample stock data with <a href=\"\/campus\/ibkr-quant-news\/stock-market-data-obtaining-data-visualization-analysis-in-python-part-ii\/\">Part II<\/a>.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"fundamental-data\">Fundamental&nbsp;<strong>Data<\/strong><\/h2>\n\n\n\n<p>We have used&nbsp;<strong>yfinance&nbsp;<\/strong>to get the fundamental data.<br><br>The first step is to set the ticker and then call the appropriate properties to get the right stock market data.<\/p>\n\n\n\n<p>If yfinance is not installed on your computer, then run the below line of code from your Jupyter Notebook to install yfinance.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">!pip install yfinance<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/c568a4e09187a9e62f054747165be54f#file-install-yfinance-py\">install yfinance.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Import yfinance\nimport yfinance as yf\n\n# Set the ticker as MSFT\nmsft = yf.Ticker(\"MSFT\")<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/42869b654e10c691ddd5d7ae395f3b6d#file-import-yfinance-and-set-the-ticker-py\">Import yfinance and set the ticker.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"key-ratios\"><strong>Key Ratios<\/strong><\/h3>\n\n\n\n<p>You can fetch the latest price to book ratio and price to earnings ratio as shown below.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># get price to book\npb = msft.info['priceToBook']\npe = msft.info['regularMarketPrice']\/msft.info['trailingEps']\nprint('Price to Book Ratio is: %.2f' % pb)\nprint('Price to Earnings Ratio is: %.2f' % pe)<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/62607b3c7b7352de3b8ac1b4bd069e88#file-get-price-to-book-py\">Get price to book.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-revenues\"><strong>Revenues<\/strong><\/h3>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># show revenues\nrevenue = msft.financials.loc['Total Revenue']\nplt.bar(revenue.index, revenue.values)\nplt.ylabel(\"Total Revenues\")\nplt.show()<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/7877ec0b521d14b7d1608bf8175fcf8d#file-revenue-py\">Revenue.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"430\" height=\"252\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/total-revenues-quantinsti.png\" alt=\"\" class=\"wp-image-200466 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/total-revenues-quantinsti.png 430w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/total-revenues-quantinsti-300x176.png 300w\" data-sizes=\"(max-width: 430px) 100vw, 430px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 430px; aspect-ratio: 430\/252;\" \/><figcaption class=\"wp-element-caption\">Data Source: Yahoo Finance<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-earnings-before-interest-and-taxes-ebit\"><strong>Earnings Before Interest and Taxes (EBIT)<\/strong><\/h3>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">EBIT = msft.financials.loc['Earnings Before Interest and Taxes']\nplt.bar(EBIT.index, EBIT.values)\nplt.ylabel(\"EBIT\")\nplt.show()<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/a95ee71a1ba8843f63c22faf1bca08ef#file-ebit-py\">EBIT.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"424\" height=\"252\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/ebit-quantinsti.png\" alt=\"\" class=\"wp-image-200468 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/ebit-quantinsti.png 424w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/ebit-quantinsti-300x178.png 300w\" data-sizes=\"(max-width: 424px) 100vw, 424px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 424px; aspect-ratio: 424\/252;\" \/><figcaption class=\"wp-element-caption\">Data Source: Yahoo Finance<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-balance-sheet-cash-flows-and-other-information\"><strong>Balance sheet, cash flows and other information<\/strong><\/h3>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># show income statement\nmsft.financials\n# show balance heet\nmsft.balance_sheet\n# show cashflow\nmsft.cashflow\n# show other info\nmsft.info<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/1efe1bd895445b6687c3b4d5f0e8c687#file-show-information-py\">Show information.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"stock-market-data-visualization-and-analysis\"><strong>Stock Market Data Visualization and Analysis<\/strong><\/h2>\n\n\n\n<p>After you have the&nbsp;<a href=\"https:\/\/quantra.quantinsti.com\/course\/stock-market-basics\">stock market data<\/a>, the next step is to create trading strategies and analyse the performance. The ease of analysing the performance is the key advantage of the Python.<\/p>\n\n\n\n<p>We will analyse the cumulative returns, drawdown plot, different ratios such as<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/blog.quantinsti.com\/sharpe-ratio-applications-algorithmic-trading\/\">Sharpe ratio<\/a>,<\/li>\n\n\n\n<li>Sortino ratio, and<\/li>\n\n\n\n<li>Calmar ratio.<\/li>\n<\/ul>\n\n\n\n<p>Here&#8217;s an article that describes the above ratios:&nbsp;<a href=\"https:\/\/blog.quantinsti.com\/portfolio-allocation-pair-trading-strategy-python-project-ravindra-rawat\/\">Portfolio Allocation and Pair Trading Strategy using Python<\/a><\/p>\n\n\n\n<p>I have created a simple buy and hold strategy for illustration purpose with four stocks namely:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Apple<\/strong><\/li>\n\n\n\n<li><strong>Amazon<\/strong><\/li>\n\n\n\n<li><strong>Microsoft<\/strong><\/li>\n\n\n\n<li><strong>Walmart<\/strong><\/li>\n<\/ul>\n\n\n\n<p>To analyse the performance, you can use the<strong>&nbsp;pyfolio tear sheet<\/strong>&nbsp;as shown below.<\/p>\n\n\n\n<p>Install pyfolio if not already installed, as follows:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># If you already have a version of pyfolio on your system you can remove that using !pip uninstall pyfolio and then run the following code\n!pip install pyfolio-reloaded==0.9.5<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/fda7ab989967f8f6a2f887ae6172a5a9#file-install-pyfolio-reloaded-py\">Install pyfolio-reloaded.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Define the ticker list\ntickers_list = ['AAPL', 'AMZN', 'MSFT', 'WMT']\n\n# Import pandas and create a placeholder for the data\nimport pandas as pd\ndata = pd.DataFrame(columns=tickers_list)\n\n# Fetch the data\nimport yfinance as yf\nfor ticker in tickers_list:\n     data[ticker] = yf.download(ticker, period='5y',)['Adj Close']\n        \n# Compute the returns of individual stocks and then compute the daily mean returns.\n# The mean return is the daily portfolio returns with the above four stocks.\ndata = data.pct_change().dropna().mean(axis=1)\n\n# Import Pyfolio\nimport pyfolio as pf\n\n# Get the full tear sheet\npf.create_full_tear_sheet(data)<\/pre>\n\n\n\n<p><a href=\"https:\/\/gist.github.com\/quantra-go-algo\/21d8d623c0640e9e1e79ca0ba2cae468#file-pyfolio_plot-py\">pyfolio_plot.py&nbsp;<\/a>hosted with \u2764 by&nbsp;<a href=\"https:\/\/github.com\/\">GitHub<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"838\" height=\"594\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/analyze-stock-market-data-performance-using-pyfolio-tear-sheet-quantinsti-2.png\" alt=\"\" class=\"wp-image-200474 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/analyze-stock-market-data-performance-using-pyfolio-tear-sheet-quantinsti-2.png 838w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/analyze-stock-market-data-performance-using-pyfolio-tear-sheet-quantinsti-2-700x496.png 700w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/analyze-stock-market-data-performance-using-pyfolio-tear-sheet-quantinsti-2-300x213.png 300w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2023\/12\/analyze-stock-market-data-performance-using-pyfolio-tear-sheet-quantinsti-2-768x544.png 768w\" data-sizes=\"(max-width: 838px) 100vw, 838px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 838px; aspect-ratio: 838\/594;\" \/><\/figure>\n\n\n\n<p><em>Originally posted on&nbsp;<a href=\"https:\/\/blog.quantinsti.com\/stock-market-data-analysis-python\/\">QuantInsti<\/a>&nbsp;blog.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The first step is to set the ticker and then call the appropriate properties to get the right stock market data.<\/p>\n","protected":false},"author":517,"featured_media":192615,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,343,349,338,341],"tags":[11997,7560,16488,595,5545,11996,6674],"contributors-categories":[13654],"class_list":{"0":"post-200461","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-programing-languages","9":"category-python-development","10":"category-ibkr-quant-news","11":"category-quant-development","12":"tag-calmar-ratio","13":"tag-data-visualization","14":"tag-pyfolio-tear-sheet","15":"tag-python","16":"tag-sharpe-ratio","17":"tag-sortino-ratio","18":"tag-yfinance","19":"contributors-categories-quantinsti"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast 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