{"id":2379,"date":"2023-11-13T14:35:40","date_gmt":"2023-11-13T14:35:40","guid":{"rendered":"https:\/\/eodhd.com\/financial-academy\/?p=2379"},"modified":"2025-02-05T11:21:32","modified_gmt":"2025-02-05T11:21:32","slug":"how-to-get-earnings-trends-and-upcoming-earnings-data-with-python","status":"publish","type":"post","link":"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python","title":{"rendered":"How to Get Earnings Trends and Upcoming Earnings Data with Python"},"content":{"rendered":"\n<p>Earnings trends is analytical prediction of a company&#8217;s future earnings, and upcoming earnings are, essentially, dates of future earning reports of companies. Using those APIs from EODHD financial data written with Python expands your opportunity to analyze data for a more effective interaction with stocks.<\/p>\n\n\n\n<p class=\"has-text-align-center\"><a class=\"maxbutton-1 maxbutton maxbutton-subscribe-to-api external-css btn\" href=\"https:\/\/eodhd.com\/register\"><span class='mb-text'>Register &amp; Get Data<\/span><\/a><\/p>\n\n\n\n\n\n\n<p><strong><strong>Please note<\/strong><\/strong>: <strong>before continuing to work with our APIs, make sure that you <a href=\"https:\/\/eodhd.com\/financial-academy\/financial-faq\/how-to-start-using-eodhd-pythons-financial-library-beginners-guide\/\">import and install all required libraries<\/a>. A more detailed information can be found on our Earnings Trends and Upcoming Earnings <a href=\"https:\/\/eodhd.com\/financial-apis\/calendar-upcoming-earnings-ipos-and-splits\/\">documentation web-page<\/a><\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-accessing-the-eodhd-api\">Accessing the EODHD API<\/h2>\n\n\n\n<p>To access the EODHD API, we need to create an instance of the \u201cAPIClient\u201d class and pass to it our API key. In this example, we will use the demo API key provided by EODHD, but in your real application, you should use your registered API key.<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">api = APIClient (\"demo\")<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<p>Please, note that you can also specify the API key in a configuration file or as an environment variable, as described in the library documentation&nbsp;<a href=\"https:\/\/github.com\/EodHistoricalData\/EODHD-APIs-Python-Financial-Library\/\">here<\/a>.<\/p>\n\n\n\n<p class=\"bordered_paragraph\">1. Use the \u201c<strong>DEMO<\/strong>\u201d API key to test our data from a limited set of the tickers without registering:<br><a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/AAPL.US\" target=\"_blank\" rel=\"noreferrer noopener\">AAPL.US<\/a>&nbsp;|&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/TSLA.US\" target=\"_blank\" rel=\"noreferrer noopener\">TSLA.US&nbsp;<\/a>|&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/VTI.US\" target=\"_blank\" rel=\"noreferrer noopener\">VTI.US<\/a>&nbsp;|&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/AMZN.US\" target=\"_blank\" rel=\"noreferrer noopener\">AMZN.US<\/a>&nbsp;|&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/BTC-USD.CC\" target=\"_blank\" rel=\"noreferrer noopener\">BTC-USD<\/a>&nbsp;|&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-summary\/EURUSD.FOREX\" target=\"_blank\" rel=\"noreferrer noopener\">EUR-USD<\/a><br><a href=\"https:\/\/eodhistoricaldata.com\/financial-apis\/new-real-time-data-api-websockets\/\" target=\"_blank\" rel=\"noreferrer noopener\">Real-Time Data<\/a>&nbsp;and All of the APIs (except Bulk) are included without limitations on API calls.<br>2. Register to get your free API key (limited by 20 API calls per day) with access to:<br><a href=\"https:\/\/eodhistoricaldata.com\/financial-apis\/api-for-historical-data-and-volumes\/\" target=\"_blank\" rel=\"noreferrer noopener\">End-Of-Day Historical Data<\/a>&nbsp;with only past year for any ticker and&nbsp;<a href=\"https:\/\/eodhistoricaldata.com\/financial-apis\/exchanges-api-list-of-tickers-and-trading-hours\/#Get_List_of_Tickers_Exchange_Symbols\" target=\"_blank\" rel=\"noreferrer noopener\">List of tickers per Exchange<\/a><br>3. To unlock your API key we recommend to <a href=\"https:\/\/eodhd.com\/pricing\">choose the subscription<\/a> which covers your needs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-retrieving-earnings-trends-and-upcoming-earnings-data\">Retrieving Earnings Trends and Upcoming Earnings Data<\/h2>\n\n\n\n<p>After we are done with the API client, we can start to request earnings trends and upcoming earnings data for some specific stock symbol, in particular for earnings trends.<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">earnings_trends = api.get_earning_trends_data (symbols = \"AAPL.US, MS\") # for Earnings Trends Data<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">upcoming_earnings = api. get_upcoming_earnings_data () # for Upcoming Earnings Data<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<p>The API response will be a single JSON structure.<\/p>\n\n\n\n<p>By using Earnings Trends Data APIs, it is important to remember that, symbol is required.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-converting-json-response-to-dataframe\">Converting JSON Response to DataFrame<\/h3>\n\n\n\n<p>To convert JSON to DataFrame it is possible to use:<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">et = pd.DataFrame(earnings_trends) # for Earnings Trends Data<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">ue = pd.DataFrame(upcoming_earnings) # for Upcoming Earnings Data<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<p>All data in DataFrame will contain information such as: &#8220;type&#8221;, &#8220;description&#8221;, &#8220;symbols, \u201cclose\u201d, for Earnings Trends and &#8220;type&#8221;, &#8220;description&#8221;, &#8220;from&#8221;, &#8220;to&#8221; for Upcoming Earnings. In case of Earnings Trends all information will be given for stock symbol, which was used when we called API.<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">print(et)<br>print(ue)<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<h3 class=\"wp-block-heading\" id=\"h-extended-functions-of-the-upcoming-earnings-data-api\">Extended functions of the Upcoming Earnings Data API<\/h3>\n\n\n\n<p>For a more accurate research, it is possible to use parameters that lays in Upcoming Earnings Data API. It is possible to use range of dates <strong>from<\/strong> and <strong>to<\/strong>, which will help to get information for certain dates. Also, you may use <strong>symbol<\/strong> to get upcoming earnings data for specific company.<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">up_earnings_extended = api.get_upcoming_earnings_data (from_date = \"2020-12-10\", to_date = \"2021-04-10\", symbols = \"AAPL.US\")<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<p>The API response is a JSON array containing data for all the requested tickers. You can convert the resulting JSON array to a DataFrame for further analysis:<\/p>\n\n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">ue_m = pd.DataFrame (up_earnings_extended)<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n            <div class=\"code__wrapper\">\n                <div class=\"code__content\">\n                    \n<pre class=\"wp-block-code has-white-color has-black-background-color has-text-color has-background\"><code lang=\"python\" class=\"language-python\">print(ue_m)<\/code><\/pre>\n\n                <\/div>\n                <div class=\"code__btns\">\n                    <button class=\"code__copy\" class=\"copy\" title=\"Copy url\">\n                        <svg class=\"code__copy__icon\" width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <use xlink:href=\"\/img\/icons\/copy.svg#copy\"><\/use>\n                        <\/svg>\n                        <img decoding=\"async\" class=\"code__copy__approve\" alt=\"\" src=\"\/img\/approve_ico.svg\" loading=\"eager\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        \n\n\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Conclusion<\/h2>\n\n\n\n<p>Both of these EODHD financial data APIs allow for easier capitalizing on available opportunities. By using this APIs, it&#8217;s easy to keep in touch with future earnings of the companies you are interested or may become interested in. <\/p>\n\n\n\n<p class=\"has-text-align-center\"><a class=\"maxbutton-1 maxbutton maxbutton-subscribe-to-api external-css btn\" href=\"https:\/\/eodhd.com\/register\"><span class='mb-text'>Register &amp; Get Data<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Earnings trends is analytical prediction of a company&#8217;s future earnings, and upcoming earnings are, essentially, dates of future earning reports of companies. Using those APIs from EODHD financial data written with Python expands your opportunity to analyze data for a more effective interaction with stocks. Please note: before continuing to work with our APIs, make [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":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":""},"categories":[43],"tags":[],"coding-language":[],"ready-to-go-solution":[56],"qualification":[33],"financial-apis-category":[36],"financial-apis-manuals":[37],"class_list":["post-2379","post","type-post","status-publish","format-standard","hentry","category-how-to-get-stocks-data-examples","ready-to-go-solution-eodhd-python-financial-library","qualification-newbie","financial-apis-category-stock-market-prices","financial-apis-manuals-stocks-fundamentals"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.9 (Yoast SEO v26.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Get Earnings Trends and Upcoming Earnings Data with Python | EODHD APIs Academy<\/title>\n<meta name=\"description\" content=\"Unlock the power of Earnings Trends and Upcoming Earnings Data. 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Get ready for upcoming earnings data releases and gain a competitive edge in your investment decisions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python\" \/>\n<meta property=\"og:site_name\" content=\"Financial Academy\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/eodhistoricaldata\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-13T14:35:40+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-02-05T11:21:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/eodhd.com\/financial-academy\/wp-content\/uploads\/2023\/09\/EODHD-Python-Financial-Libriary.png\" \/>\n\t<meta property=\"og:image:width\" content=\"801\" \/>\n\t<meta property=\"og:image:height\" content=\"261\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Gleb from EODHD\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@EOD_data\" \/>\n<meta name=\"twitter:site\" content=\"@EOD_data\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Gleb from EODHD\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python#article\",\"isPartOf\":{\"@id\":\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python\"},\"author\":{\"name\":\"Gleb from EODHD\",\"@id\":\"https:\/\/eodhd.com\/financial-academy\/#\/schema\/person\/b4d6b3aab4e8b416243add4537592b44\"},\"headline\":\"How to Get Earnings Trends and Upcoming Earnings Data with Python\",\"datePublished\":\"2023-11-13T14:35:40+00:00\",\"dateModified\":\"2025-02-05T11:21:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python\"},\"wordCount\":530,\"publisher\":{\"@id\":\"https:\/\/eodhd.com\/financial-academy\/#organization\"},\"articleSection\":[\"How to Get Stocks Data Examples\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python\",\"url\":\"https:\/\/eodhd.com\/financial-academy\/how-to-get-stocks-data-examples\/how-to-get-earnings-trends-and-upcoming-earnings-data-with-python\",\"name\":\"How to Get Earnings Trends and Upcoming Earnings Data with Python | EODHD APIs Academy\",\"isPartOf\":{\"@id\":\"https:\/\/eodhd.com\/financial-academy\/#website\"},\"datePublished\":\"2023-11-13T14:35:40+00:00\",\"dateModified\":\"2025-02-05T11:21:32+00:00\",\"description\":\"Unlock the power of Earnings Trends and Upcoming Earnings Data. 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