{"id":25899,"date":"2017-07-07T22:30:08","date_gmt":"2017-07-07T19:30:08","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=25899"},"modified":"2024-08-24T05:45:11","modified_gmt":"2024-08-24T02:45:11","slug":"analyzing-dark-data-for-traders-using-ibm-watson-bluemix","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/","title":{"rendered":"Analyzing &#8220;Dark Data&#8221; for Traders Using IBM Watson and Bluemix"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Information_jeopardizing_stock_markets\" >Information jeopardizing stock markets<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Historical_and_%E2%80%9Cdark_data%E2%80%9D_analysis\" >Historical and &#8220;dark data&#8221; analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Insights_from_videos_TV\" >Insights from videos \/ TV<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Insights_from_social_media_and_weather_forecasts\" >Insights from social media and weather forecasts<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Current_limitations\" >Current limitations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#More_tools_for_financial_insights\" >More tools for financial insights<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Related_videos\" >Related videos<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#Further_reading\" >Further reading<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.altoros.com\/blog\/analyzing-dark-data-for-traders-using-ibm-watson-bluemix\/#About_the_speakers\" >About the speakers<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Information_jeopardizing_stock_markets\"><\/span>Information jeopardizing stock markets<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Stock market trading has always been a high-risk, high-reward business, and the continued rise of social media has only reinforced it. There is an immense amount of money involved and there isn&#8217;t always enough time to analyze new information and react. Traders, who are able to react quickly, have the upper hand.<\/p>\n<p>As an example, the tweet by US President Donald Trump <a href=\"http:\/\/www.cnbc.com\/2016\/12\/22\/lockheed-martin-shares-take-another-tumble-after-trump-tweet.html\" target=\"_blank\" rel=\"noopener noreferrer\">last December<\/a> had a huge financial impact on <a href=\"https:\/\/www.altoros.com\/blog\/lockheed-martin-delivers-apps-with-cloud-foundry-in-weeks-instead-of-months\/\" >Lockheed Martin<\/a> and <a href=\"https:\/\/www.altoros.com\/blog\/boeing-improves-operations-with-blockchain-and-the-internet-of-things\/\">Boeing<\/a>.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-Donald-Trump-Tweet-Boeing-Lockheed-Martin.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-Donald-Trump-Tweet-Boeing-Lockheed-Martin.png\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis Donald Trump Tweet Boeing Lockheed Martin\" width=\"640\" class=\"aligncenter size-full wp-image-25910\" \/><\/a><small>Lockheed Martin stock after the tweet (<a href=\"https:\/\/myibm.ibm.com\/events\/interconnect\/all-sessions\/session\/1913A\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p>This single 3-line post caused Lockheed Martin&#8217;s market cap drop by $1.2 billion while Boeing&#8217;s market cap rose by $500 million. Furthermore, Lockheed Martin&#8217;s shares dropped to $247.75 per share, while Boeing&#8217;s rose to $158.52 per share.<\/p>\n<p>This brings us back to the problems in stock market trading today:<\/p>\n<ul>\n<li>There is <b>too much information<\/b> available 24\/7 from both traditional and social media.<\/li>\n<li>There is <b>not enough time<\/b> for traders to gather, analyze, and react to new information.<\/li>\n<li>There is a significant amount of <b>money at risk<\/b>.<\/li>\n<\/ul>\n<p>As a result, companies often gather more data than they are able to analyze. <\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Historical_and_%E2%80%9Cdark_data%E2%80%9D_analysis\"><\/span>Historical and &#8220;dark data&#8221; analysis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>According to IBM, around <a href=\"https:\/\/siliconangle.com\/blog\/2015\/10\/30\/ibm-is-at-the-forefront-of-insight-economy-ibminsight\/\" target=\"_blank\" rel=\"noopener noreferrer\">90% of data<\/a> gathered from sensors and analog-to-digital conversions never gets used. It means the majority of such data simply becomes <a href=\"https:\/\/en.wikipedia.org\/wiki\/Dark_data\" target=\"_blank\" rel=\"noopener noreferrer\">dark data<\/a>\u2014information that&#8217;s difficult to understand and analyze and is therefore not used in any decision making.<\/p>\n<p>But can this be improved with technology?<\/p>\n<p>In a stock market, a trader will typically analyze an asset by creating a time chart that compares the asset&#8217;s value over a period of time. To get more useful information, that asset&#8217;s data is compared to other assets to figure out its relative value. One of the ways to simplify this process is using tools like <a href=\"https:\/\/www.altoros.com\/blog\/tag\/ibm-watson\/\">IBM Watson<\/a> to create multi-dimensional charts that can compare relative assets.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-stocks-chart-v2.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-stocks-chart-v2.png\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis stocks chart v2\" width=\"640\" class=\"aligncenter size-full wp-image-26021\" \/><\/a><small>Watson analytics chart (<a href=\"https:\/\/www.ibm.com\/communities\/analytics\/watson-analytics-blog\/watson-analytics-intelligent-application-on-financial-markets\/\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p>With this method, we can get a better understanding of stock patterns based on historical data. However, there&#8217;s a lot more that Watson can offer for trading.<\/p>\n<p>Earlier last month, Watson entered the <a href=\"http:\/\/www.investopedia.com\/terms\/e\/etf.asp\" target=\"_blank\" rel=\"noopener noreferrer\">exchange trade fund<\/a> (ETF) business. The <a href=\"https:\/\/www.sec.gov\/Archives\/edgar\/data\/1467831\/000089418917003078\/etfmt-equbot_485a.htm\" target=\"_blank\" rel=\"noopener noreferrer\">Equbot with Watson AI Total US ETF<\/a> was filed to the US Securities and Exchange Commission. According to the file, Equbot will use Watson to &#8220;conduct an objective, fundamental analysis of US-listed common stocks and real estate investment trusts based on up to ten years of historical data and apply that analysis to recent economic and news data.&#8221;<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/spencer-fontein-ab0703ba\" target=\"_blank\" rel=\"noopener noreferrer\">Spencer Fontein<\/a> and <a href=\"https:\/\/www.linkedin.com\/in\/robkwilliams1\/\" target=\"_blank\" rel=\"noopener noreferrer\">Rob Williams<\/a> of All Blue Solutions explain how dark data can be analyzed for stock market trading using IBM Watson and Bluemix. Based on the analysis of messages that appear on TV and social media, they believe that AI can be utilized to get a better understanding of trade position fluctuations as events transpire in real time.<\/p>\n<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis.jpg\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis\" width=\"640\" class=\"aligncenter size-full wp-image-25901\" \/><\/a><small>Spencer Fontein and Rob Williams at <a href=\"https:\/\/www.altoros.com\/blog\/tag\/ibm-interconnect\/\">InterConnect 2017<\/a><\/small><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Insights_from_videos_TV\"><\/span>Insights from videos \/ TV<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>One of the most common methods of gathering news is from television. According to Spencer and Rob, IBM Watson can understand and parse data from TV and videos using the following steps:<\/p>\n<ul>\n<li style=\"margin-bottom: 6px;\">With a streaming television, convert MP4 streams with ffmpeg into 15 second videos and extract audio as WAV files.<\/li>\n<li style=\"margin-bottom: 6px;\">Using Watson <a href=\"https:\/\/www.ibm.com\/watson\/developercloud\/speech-to-text.html\" target=\"_blank\" rel=\"noopener noreferrer\">Speech to Text<\/a> (STT), send WAV files to Watson through cURL and save the response. (See STT <a href=\"https:\/\/www.altoros.com\/blog\/smart-halloween-a-talking-pumpkin-created-with-ibm-watson-and-raspberry-pi\/\">in action<\/a>.)<\/li>\n<li style=\"margin-bottom: 6px;\">With the <a href=\"https:\/\/blog.altoros.com\/analyzing-text-with-the-alchemylanguage-service-in-ibm-watson.html\">AlchemyLanguage<\/a> service, send, parse, and save the response.<\/li>\n<li style=\"margin-bottom: 6px;\">Send the response to the trading model, while IBM Watson decides if the response should affect the current position. Thus, one can adjust the model.<\/li>\n<\/ul>\n<p>In this instance, Watson was used to gain insight from <a href=\"https:\/\/www.theguardian.com\/world\/2015\/apr\/01\/four-workers-killed-gulf-mexico-oil-rig-explosion\" target=\"_blank\" rel=\"noopener noreferrer\">the news story<\/a> of an oil rig accident in the Gulf of Mexico.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-Oil-Rig-Explosion.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-Oil-Rig-Explosion.png\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis Oil Rig Explosion\" width=\"640\" height=\"713\" class=\"aligncenter size-full wp-image-25912\" \/><\/a><small>Oil rig accident in the Gulf of Mexico on April 1, 2015 (<a href=\"https:\/\/myibm.ibm.com\/events\/interconnect\/all-sessions\/session\/1913A\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p>AlchemyLanguage analyzes the text file and thens extract such information as <b>concepts<\/b>, <b>entities<\/b>, <b>sentiment<\/b>, and <b>keywords<\/b>. This information can then be used to influence stock market trade decisions.<\/p>\n<p>There&#8217;s also an IBM tool for analyzing videos, called <a href=\"https:\/\/github.com\/IBM-Bluemix\/openwhisk-darkvisionapp\" target=\"_blank\" rel=\"noopener noreferrer\">OpenWhisk Dark Vision<\/a>, which is very similar to the solution described by Spencer and Rob. Built on IBM Bluemix, it is a web app capable of analyzing video frames and audio, discovering what&#8217;s inside. After processing, the app automatically creates a summary for each video containing set of <strong>tags<\/strong>, <strong>personalities<\/strong>, and <strong>locations<\/strong>. This enables users to get an idea what each video contains without having to spend the time watching everything.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/openwhisk-dark-vision-brad-angelina.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/openwhisk-dark-vision-brad-angelina-1024x741.png\" alt=\"openwhisk-dark-vision-brad-angelina\" width=\"640\" class=\"aligncenter size-large wp-image-26113\" \/><\/a><small>OpenWhisk Dark Vision web app (<a href=\"https:\/\/github.com\/IBM-Bluemix\/openwhisk-darkvisionapp\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p>To analyze and extract information from videos, the app makes use both IBM Bluemix and Watson services:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.ibm.com\/watson\/developercloud\/doc\/visual-recognition\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">Visual Recognition<\/a> for detecting scenes, objects, and faces<\/li>\n<li><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/speech_to_text\" target=\"_blank\" rel=\"noopener noreferrer\">Speech to Text<\/a> for converting audio into text<\/li>\n<li><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/natural-language-understanding\" target=\"_blank\" rel=\"noopener noreferrer\">Natural Language Understanding<\/a> for analyzing text and extracting metadata<\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/introduction-to-ibm-bluemix-openwhisk\/\">OpenWhisk<\/a> for executing functions in response to event triggers<\/li>\n<li><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/cloudantNoSQLDB\" target=\"_blank\" rel=\"noopener noreferrer\">Cloudant<\/a> for storing everything in a database<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Insights_from_social_media_and_weather_forecasts\"><\/span>Insights from social media and weather forecasts<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>With Twitter, Facebook, and Instagram, social media can now provide an even faster method of delivering news compared to traditional media. To analyze Twitter, for instance, one may use the following process and combination of services:<\/p>\n<ol>\n<li>Capturing a tweet about market stock by Bluemix <a href=\"https:\/\/www.altoros.com\/blog\/using-the-bluemix-insights-for-twitter-service-with-a-rails-app\/\">Insights for Twitter<\/a><\/li>\n<li>Analyzing the tweet&#8217;s text by AlchemyLanguage<\/li>\n<li>Analyzing the parsed data and formatting a response via <a href=\"https:\/\/nodered.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Node-RED<\/a><\/li>\n<li>Sending the response to the trading model<\/li>\n<li>Adjusting the trading model based on the response received<\/li>\n<\/ol>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v2.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v2.jpg\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis v2\" width=\"640\" class=\"aligncenter size-full wp-image-25931\" \/><\/a><small>Rob Williams<\/small><\/center><\/p>\n<p>IBM Watson can additionally focus on relevant information by filtering through keywords, hashtags, topics, and specific sources.<\/p>\n<p>Hazardous weather can have an impact on the stock market, as well. It can cause delays on shipping routes that will, in turn, incur financial penalties. By using <a href=\"https:\/\/console.bluemix.net\/docs\/services\/Weather\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">IBM Weather Company Data<\/a> for Bluemix, these delays can be predicted and accounted for. According to Rob and Spencer, a simplified process starts with a cURL call with a geolocation code (coordinates) to Weather Company Data.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v4.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v4.jpg\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis v4\" width=\"640\" class=\"aligncenter size-full wp-image-25970\" \/><\/a><small>Spencer Fontein<\/small><\/center><\/p>\n<p>Weather Company Data will then return a response based on the coordinates given. This response is then sent to the trade model and will be used to adjust positions.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Current_limitations\"><\/span>Current limitations<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>While Spencer and Rob are confident in IBM Watson and Bluemix&#8217;s ability to collect and analyze stock market data, there are also some limitations:<\/p>\n<ul>\n<li>Fake news can cause problems to the system.<\/li>\n<li>AlchemyLanguage is not always able to identify the correct keywords and entities.<\/li>\n<li>The trading models has to be revised as new variables are added.<\/li>\n<\/ul>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v5.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v5.jpg\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis v5\" width=\"640\" class=\"aligncenter size-full wp-image-26000\" \/><\/a><small>Rob Williams<\/small><\/center><\/p>\n<p>Insights for Twitter <a href=\"https:\/\/www.ibm.com\/blogs\/bluemix\/2017\/03\/retirement-insights-twitter-service\/\" target=\"_blank\" rel=\"noopener noreferrer\">was retired<\/a> and removed from the IBM Bluemix catalog on April 28, 2017. IBM suggests users to adopt Twitter&#8217;s <a href=\"https:\/\/www.gnip.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Gnip<\/a> API services instead.<\/p>\n<p>AlchemyLanguage <a href=\"https:\/\/www.ibm.com\/watson\/developercloud\/alchemy-language.html\" target=\"_blank\" rel=\"noopener noreferrer\">was deprecated<\/a> on April 7, 2017 though support will persist until March 7, 2018. The service has already been absorbed by Watson&#8217;s <a href=\"https:\/\/www.ibm.com\/watson\/developercloud\/natural-language-understanding.html\" target=\"_blank\" rel=\"noopener noreferrer\">Natural Language Understanding<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"More_tools_for_financial_insights\"><\/span>More tools for financial insights<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Aside from the services already mentioned, we&#8217;ve come across other applications using Bluemix and Watson that focus on finance and trade analytics.<\/p>\n<p><a href=\"https:\/\/github.com\/IBM-Bluemix\/CloudTrader\" target=\"_blank\" rel=\"noopener noreferrer\">CloudTrader<\/a> enables users to simulate an online stock trading system. Users are able to manage their portfolios, look up stocks, and buy or sell shares.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-JavaCloudTrader.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-JavaCloudTrader.png\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis JavaCloudTrader\" width=\"640\" class=\"aligncenter size-full wp-image-26061\" \/><\/a><small>CloudTrader on Bluemix (<a href=\"https:\/\/github.com\/IBM-Bluemix\/JavaCloudTrader\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p><a href=\"https:\/\/developer.ibm.com\/finance\/watson\/starter-kits\/watson-investment-insights\/\" target=\"_blank\" rel=\"noopener noreferrer\">Watson Investment Insights<\/a> provides analysis on how news events can impact an investment portfolio. Through natural language processing and risk analytics, the application shows users how individual portfolios are affected by particular news articles.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-investment-insights-v2.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-investment-insights-v2.png\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis investment insights v2\" width=\"640\" class=\"aligncenter size-full wp-image-26069\" \/><\/a><small>Watson Investment Insights starter kit (<a href=\"https:\/\/investment-insights.mybluemix.net\/\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a>)<\/small><\/center><\/p>\n<p>In addition to that, here are a few more experimental services on Bluemix:<\/p>\n<ul>\n<li style=\"margin-bottom: 6px;\"><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/investment-portfolio\/\" target=\"_blank\" rel=\"noopener noreferrer\">Investment Portfolio<\/a> enables users to store, update, and query investment portfolios and associated holdings using flexible object definitions.<\/li>\n<li style=\"margin-bottom: 6px;\"><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/instrument-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">Instrument Analytics<\/a> makes use of IBM Algorithmics software to price and compute analytics on securities.<\/li>\n<li><a href=\"https:\/\/console.bluemix.net\/catalog\/services\/predictive-market-scenarios\/\" target=\"_blank\" rel=\"noopener noreferrer\">Predictive Market Scenarios<\/a> enables users to understand &#8220;what if&#8221; scenarios by showing how market factors are affected by change.<\/li>\n<\/ul>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v6.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/IBM-InterConnect-2017-All-Blue-Solutions-Watson-Dark-Data-Insights-Analysis-v6.jpg\" alt=\"IBM InterConnect 2017 All Blue Solutions Watson Dark Data Insights Analysis v6\" width=\"640\" class=\"aligncenter size-full wp-image-26001\" \/><\/a><small>Spencer Fontein<\/small><\/center><\/p>\n<p>IBM created a number of <a href=\"https:\/\/developer.ibm.com\/finance\/\" target=\"_blank\" rel=\"noopener noreferrer\">starter kits<\/a> for those who want to optimize their finace and trading activities with Watson services.<\/p>\n<p>Real-time analytics and artificial intelligence are major trends these days. We&#8217;ve already seen what financial organizations are doing with the technology\u2014from <a href=\"https:\/\/www.altoros.com\/blog\/rbc-serves-millions-of-customers-digitally-with-ibm-bluemix-blockchain-and-ai\/\">cognitive bank assistants<\/a> to <a href=\"https:\/\/www.altoros.com\/blog\/digital-transformation-in-banking-new-challenges-for-a-new-era\/\">fraud detection<\/a> based on behavioral analytics. Will we see a time when all human traders in the stock market are replaced by artificial intelligence? Probably not, but more assitance will definitely be provided to finance experts by analytical platforms like Watson.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Related_videos\"><\/span>Related videos<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><center><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/BXcEX-LS7Qk\" frameborder=\"0\" allowfullscreen><\/iframe><\/center><\/p>\n<p><center><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/1teIMpkI_Sg\" frameborder=\"0\" allowfullscreen><\/iframe><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/digital-transformation-in-banking-new-challenges-for-a-new-era\/\">Digital Transformation in Banking: New Challenges for a New Era<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/rbc-serves-millions-of-customers-digitally-with-ibm-bluemix-blockchain-and-ai\/\">RBC Serves Millions of Customers Digitally\u2014with IBM Bluemix, Blockchain, and AI<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/ibm-interconnect-the-power-of-iot-ai-and-machine-learning\/\">IBM: The Time for IoT, AI, and Machine Learning Is Now<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"About_the_speakers\"><\/span>About the speakers<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/robkwilliams1\/\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Rob-Williams-All-Blue-Solutions-bio.png\" alt=\"Rob Williams, All Blue Solutions bio\" width=\"150\" height=\"150\" class=\"aligncenter size-full wp-image-25964\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/robkwilliams1\/\">Rob Williams<\/a> is Chief Technology Officer at All Blue Solutions Inc. He is responsible for worldwide technology operations, product development, and leadership and skills development. Rob works closely with customers, CTOs, and senior executives, ensuring delivery of best-of-breed solutions that meet changing needs. BlueMSP\u2014a comprehensive managed service provider for IBM Software\u2014was a project championed and continued to be led by Rob.<\/small><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"float: right;\"><a href=\"https:\/\/www.linkedin.com\/in\/spencer-fontein-ab0703ba\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2017\/07\/Spencer-Fontein-All-Blue-Solutions-bio.png\" alt=\"Spencer Fontein, All Blue Solutions bio\" width=\"150\" height=\"150\" class=\"aligncenter size-full wp-image-25965\" \/><\/a><\/div>\n<div style=\"width: 600px;\"><small><a href=\"https:\/\/www.linkedin.com\/in\/spencer-fontein-ab0703ba\">Spencer Fontein<\/a> is Software Engineer at All Blue Solutions Inc. He develops and provides software solutions for mobile and web applications. Spencer uses a range of such IBM products as MobileFirst Platform, Bluemix, and Integration Bus in order to create the solutions his organization provides. He is a driven and passionate person, interested in learning new skills and applying them to IT development.<\/small><\/div>\n<\/div>\n<hr\/>\n<p><center><small>The post is written by <a href=\"https:\/\/www.altoros.com\/blog\/author\/carlo\/\">Carlo Gutierrez<\/a> and <a href=\"https:\/\/www.altoros.com\/blog\/author\/alex\/\">Alex Khizhniak<\/a>, edited by <a href=\"https:\/\/www.altoros.com\/blog\/author\/sophie-turol\/\">Sophie Turol<\/a>.<\/small><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Information jeopardizing stock markets<\/p>\n<p>Stock market trading has always been a high-risk, high-reward business, and the continued rise of social media has only reinforced it. There is an immense amount of money involved and there isn&#8217;t always enough time to analyze new information and react. Traders, who are able to react [&#8230;]<\/p>\n","protected":false},"author":32,"featured_media":26105,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[873,972,187,761,810],"class_list":["post-25899","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-opinion","tag-cloud-native","tag-finance","tag-ibm-bluemix","tag-ibm-interconnect","tag-ibm-watson"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Analyzing &quot;Dark Data&quot; for Traders Using IBM Watson and Bluemix | Altoros<\/title>\n<meta name=\"description\" content=\"Stock market is exposed to money loss, with 90% of data gathered never gets used. 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