{"id":3774,"date":"2025-08-04T11:34:49","date_gmt":"2025-08-04T06:04:49","guid":{"rendered":"https:\/\/www.rangakrish.com\/?p=3774"},"modified":"2025-08-04T11:34:49","modified_gmt":"2025-08-04T06:04:49","slug":"stock-analysis-using-wolfram-mathematica","status":"publish","type":"post","link":"https:\/\/www.rangakrish.com\/index.php\/2025\/08\/04\/stock-analysis-using-wolfram-mathematica\/","title":{"rendered":"Stock Analysis Using Wolfram Mathematica"},"content":{"rendered":"

I have my own toolkit for analyzing stocks, but occasionally I use Mathematica<\/strong><\/em> as well. Given Mathematica\u2019s extensive support for numerical computation including Machine Learning, it can be a valuable resource for deep analysis of the stock market. In today\u2019s article, let me give an overview of some of the features that are helpful for a beginner trader.\u00a0<\/span><\/p>\n

The starting point, of course, is downloading stock-specific data. Mathematica<\/strong><\/em> supports a variety of exchanges for this pupose. The function \u201cFinancialData[]\u201d<\/strong><\/em> is used for downloading data.\u00a0<\/span><\/p>\n

Let us first find out what exchanges are supported:<\/p>\n

\"Supported<\/a>
Supported Exchanges<\/strong><\/figcaption><\/figure>\n

\u00a0<\/span>We see that BSE<\/strong><\/em> is supported, but not NSE<\/strong><\/em>. That is OK for our discussion.<\/p>\n

How to find out the ticker symbols<\/strong><\/em> in BSE<\/strong><\/em>?<\/p>\n

\"BSE<\/a>
BSE Ticker Symbols<\/strong><\/figcaption><\/figure>\n

This list quite large, so I am not showing all the symbols. Let us check how many symbols are supported in BSE<\/strong><\/em>.<\/p>\n

\"Count<\/a>
Count of Supported Symbols<\/strong><\/figcaption><\/figure>\n

That is good, a total of 3980 entities in BSE<\/strong><\/em>. But how to find out which symbol stands for which company? We can use the same FinancialData[]<\/strong><\/em> function for this:<\/p>\n

\"Finding<\/a>
Finding Name from Symbol<\/strong><\/figcaption><\/figure>\n

For our convenience, let us randomly select 50 companies from BSE<\/strong><\/em>.<\/p>\n

\"Randomly<\/a>
Randomly Picking Symbols<\/strong><\/figcaption><\/figure>\n

Next, let us display this in the form of a Table<\/strong><\/em>, showing the Name<\/strong><\/em> and its Symbol<\/strong><\/em>.<\/p>\n

\"Partial<\/a>
Partial List of Ticker Symbols and Names<\/strong><\/figcaption><\/figure>\n

How to display the chart for any symbol? Let us download the actual Open-High-Low-Close (OHLC) EOD<\/strong><\/em> data for a specific symbol and render it in the form of a Candle Stick<\/strong> <\/em>chart:<\/p>\n

\"Candle<\/a>
Candle Stick Chart<\/strong><\/figcaption><\/figure>\n

The chart shows EOD<\/strong><\/em> data from Jan 1, 2025<\/strong><\/em> to Aug 1, 2025<\/strong><\/em>.<\/p>\n

There is a variant of CandleStickChart[]<\/strong><\/em> function, called TradingChart[]<\/strong><\/em> that displays Volume<\/strong><\/em> data as well.<\/p>\n

\"TradingChart<\/a>
TradingChart with Volume<\/strong><\/figcaption><\/figure>\n

Note that I have downloaded Volume<\/strong><\/em> as well using \u201cOHLCV\u201d<\/strong><\/em> parameter.\u00a0<\/span><\/p>\n

For comparison, here is the chart as rendered in TradingView<\/strong><\/em><\/a>.<\/p>\n

\"TradingView<\/a>
TradingView Chart<\/strong><\/figcaption><\/figure>\n

We can make the chart interactive and add needed indicators too. For this, let us use InteractiveTradingChart[]<\/strong><\/em> function and add indicators to it. This adds significant value to the analysis.<\/p>\n

\"InteractiveChart\"<\/a>
InteractiveChart<\/strong><\/figcaption><\/figure>\n

The above chart displays, in addition to Volume<\/strong><\/em>, Commodity Channel Index (20)<\/strong><\/em> and Keltner Channels (20, 10, 2)<\/strong><\/em>. What is also interesting is that when you hover the mouse over the chart, the corresponding candle is highlighted and the relevant indicator values are shown.<\/p>\n

Nice, isn\u2019t it? The function FinancialData[]<\/strong><\/em> can also give us Fundamental<\/strong><\/em> data pertaining to the company, for example, P\/E Ratio<\/strong><\/em>, MarketCap<\/strong><\/em>, EBITDA<\/strong><\/em>, etc. It is not limited to Technical<\/strong><\/em> data alone.<\/p>\n

Let us dive into other interesting aspects of stock analysis using Mathematica<\/strong><\/em> in a future article.\u00a0<\/span><\/p>\n

I have used Wolfram Mathematica<\/strong><\/em> ver 14.2<\/strong><\/em> for this article. You can download my notebook here<\/strong><\/em><\/a>.<\/p>\n

Have a great week ahead!<\/p>\n","protected":false},"excerpt":{"rendered":"

I have my own toolkit for analyzing stocks, but occasionally I use Mathematica as well. Given Mathematica\u2019s extensive support for numerical computation including Machine Learning, it can be a valuable resource for deep analysis of the stock market. In today\u2019s article, let me give an overview of some of the features that are helpful for […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[72,17],"tags":[433,430],"class_list":["post-3774","post","type-post","status-publish","format-standard","hentry","category-mathematica","category-programming","tag-stock-market","tag-tradingview"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p9OLnF-YS","jetpack-related-posts":[{"id":3794,"url":"https:\/\/www.rangakrish.com\/index.php\/2025\/08\/19\/stock-analysis-with-wolfram-mathematica-part-2\/","url_meta":{"origin":3774,"position":0},"title":"Stock Analysis with Wolfram Mathematica – Part 2","author":"admin","date":"August 19, 2025","format":false,"excerpt":"In the previous article, I had explained how to get started using Wolfram Mathematica\u2019s stock analysis features. The focus was on working with the exchanges supported by Mathematica, for example BSE India. What if we have stock data from a different source and want to analyze it in Mathematica? In\u2026","rel":"","context":"In "Mathematica"","block_context":{"text":"Mathematica","link":"https:\/\/www.rangakrish.com\/index.php\/category\/mathematica\/"},"img":{"alt_text":"Loading the CSV Data","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2025\/08\/processdata-fn-300x149.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2025\/08\/processdata-fn-300x149.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2025\/08\/processdata-fn-300x149.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":328,"url":"https:\/\/www.rangakrish.com\/index.php\/2016\/09\/11\/natural-language-processing-in-mathematica\/","url_meta":{"origin":3774,"position":1},"title":"Natural Language Processing in Mathematica","author":"admin","date":"September 11, 2016","format":false,"excerpt":"Welcome back. 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Mathematica gives the various senses\u2026","rel":"","context":"In "Mathematica"","block_context":{"text":"Mathematica","link":"https:\/\/www.rangakrish.com\/index.php\/category\/mathematica\/"},"img":{"alt_text":"Word Definition","src":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/09\/word-data1-1024x238.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/09\/word-data1-1024x238.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/09\/word-data1-1024x238.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.rangakrish.com\/wp-content\/uploads\/2016\/09\/word-data1-1024x238.png?resize=700%2C400 2x"},"classes":[]},{"id":364,"url":"https:\/\/www.rangakrish.com\/index.php\/2016\/10\/11\/cloud-computing-with-mathematica\/","url_meta":{"origin":3774,"position":2},"title":"Cloud Computing with Mathematica","author":"admin","date":"October 11, 2016","format":false,"excerpt":"Mathematica provides excellent support for cloud computation, and most of the time, it is a very simple and intuitive process. 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