{"66341":{"#nid":"66341","#data":{"type":"news","title":"Titan to Provide Access to Behavioral Trading Database to Georgia Tech Quantitative and Computational Finance Students","body":[{"value":"\u003Cp\u003ETitan Trading Analytics Inc. (TSX\nVENTURE: TTA) (OTCBB: TITAF), has entered into a new alliance with the\nGeorgia Institute of Technology (Georgia Tech) Master of Science Degree program\nin Quantitative and Computational Finance (QCF). \u0026nbsp;The alliance gives Georgia Tech QCF students\naccess to Titan\u2019s trade signal database which is derived from price and volatility\ndata, machine readable news and social media sentiment , which Titan uses to provide\nmarket professionals with high probability behavioral trade recommendations.\u003C\/p\u003E\n\n\u003Cp\u003E\u0022Georgia Tech offers great opportunities\nfor students in the MS QCF program to collaborate with global financial\nservices firms,\u0022 says Dr. Shijie Deng, Director of the QFC program.\n\u0022By forging close relationships with innovative companies in the Atlanta\narea like Titan, QFC students will continue to have a significant advantage as\nthey enter the job market with unique and practical experience.\u0022\u003C\/p\u003E\n\n\u003Cp\u003ETitan\u2019s core product (TickAnalyst) provides a tradable research\nsolution combining multi-layered trading technology with proprietary automated\nmodels and risk management tools for institutions. Its highly sophisticated\narchitecture is designed to perform thousands of decisions per second,\nisolating specific \u201crare market events\u201d that result in a high probability of\nprofitable success when the optimum conditions align. \u003C\/p\u003E\n\n\u003Cp\u003E\u0026nbsp;\u201cWe\nhave accumulated a unique database of quantitative and qualitative data from\nstructured and unstructured sources\u201d stated John Coulter, President and CEO of\nTitan. The number of social media sites and amount of stock related commentary available\nin digital format is growing exponentially.\u0026nbsp;\nWe are pleased to share our tick data \u0026amp; behavioral trading signal\ndatabase with students of the QCF program and allow them to mine our database for\nall manner of quantitative modeling \u0026amp; research purposes.\u201d\u003C\/p\u003E\n\n\u003Cp\u003ETitan\u2019s data center is managed by Colocube via\nthe \u201cPlatform Equinix\u201d private cloud in downtown Atlanta.\u0026nbsp; The power of the cloud enables Titan to\nmonitor real-time data and simultaneously sift though terabytes of historical\ndata to generate behavioral trade recommendations.\u0026nbsp; Colocube employs best practices in security\nand monitoring to ensure the highest level of protection for Titan and its\ncustomers.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbout\nGeorgia Institute of Technology, Quantitative and Computational Finance Program\u003C\/strong\u003E\u003C\/p\u003E\n\n\u003Cp\u003EThe\nmain objective of the Master of Science degree program in Quantitative and\nComputational Finance at Georgia Tech is to provide students with the practical\nskills and theoretical understanding they need to be leaders in the formulation,\nimplementation and evaluation of models used by the financial sector to\nstructure transactions, manage risk and construct investment strategies.\u0026nbsp; The MS QCF program is a full-time\nAugust-through-December, 16-month program in Fall, Spring and Fall Semesters\nwith six core courses (18 credit hours) and six electives (18 credit\nhours).\u0026nbsp; For more information please\nvisit \u003Ca href=\u0022http:\/\/www.qcf.gatech.edu\u0022 title=\u0022www.qcf.gatech.edu\u0022\u003Ewww.qcf.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cstrong\u003EAbout Titan Trading Analytics Inc.\u003C\/strong\u003E\u003C\/p\u003E\n\n\u003Cp\u003ETitan\nTrading Analytics Inc. is a premier provider of behavioral trading research.\nTrade signals are distributed via a powerful financial analysis and electronic\ntrading software platform which captures and analyzes real-time market tick data\nand identifies trade opportunities based on numerous historical patterns,\nidentified by Titan\u2019s Trade Recommendation Engine\u2122 (TRE). Titan\u2019s flagship\nproduct, TickAnalyst\u2122, delivers trading signals to proprietary trading firms\nand hedge funds via a cutting edge browser-based interface.\u0026nbsp; Titan\u2019s internally developed products and\nservices are at the forefront of the high growth global investment management\nand automated trading industry. For more information visit \u003Ca href=\u0022http:\/\/www.titantrading.com\/\u0022\u003Ewww.titantrading.com.\u003C\/a\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETitan Trading Analytics Inc. has entered into a new alliance with the Master of Science Degree program\nin Quantitative and Computational Finance (QCF) to give QCF students\naccess to Titan\u2019s trade signal database which is derived from price and volatility\ndata, machine readable news and social media sentiment , which Titan uses to provide\nmarket professionals with high probability behavioral trade recommendations.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27279","created_gmt":"2011-06-01 09:28:28","changed_gmt":"2016-10-08 03:08:41","author":"Barbara Christopher","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2011-06-01T00:00:00-04:00","iso_date":"2011-06-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"8862","name":"Student Research"}],"keywords":[{"id":"5608","name":"qcf"},{"id":"13304","name":"Quantitative and Computational Finance Barbara Christopher Industrial and Systems Engineering 404.385.3102"},{"id":"13302","name":"Titan"},{"id":"13303","name":"trade behavior"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:barbara.christopher@isye.gatech.edu\u0022\u003E\u003Cstrong\u003EBarbara\nChristopher\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\nIndustrial and Systems Engineering\u003Cbr \/\u003E\n\u003Cstrong\u003E404.385.3102\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}