{"id":5716,"date":"2022-06-25T06:34:01","date_gmt":"2022-06-25T06:34:01","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2022\/06\/25\/market-data-and-news-a-time-series-analysis\/"},"modified":"2022-06-25T06:34:01","modified_gmt":"2022-06-25T06:34:01","slug":"market-data-and-news-a-time-series-analysis","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2022\/06\/25\/market-data-and-news-a-time-series-analysis\/","title":{"rendered":"Market Data and News: A Time Series Analysis"},"content":{"rendered":"<p>Author: Parsa Ghaffari<\/p>\n<div>In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2022\/06\/market-data-news-time-series-analysis.html?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=market-data-and-news-a-time-series-analysis\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Parsa Ghaffari In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2022\/06\/25\/market-data-and-news-a-time-series-analysis\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":464,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5716"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=5716"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5716\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/469"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=5716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=5716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=5716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}