Methods and systems for predicting market behavior based on news and sentiment analysis
作者： Jacob Sisk
DOI:
关键词: Market behavior 、 Sentiment analysis 、 Small window 、 Factoring 、 Trustworthiness 、 Volatility (finance) 、 Econometrics 、 Stock price 、 Economics 、 Derivative (finance) 、 Actuarial science
摘要: The present invention provides a method, system and software that provide predictive model responsive to the correlation of news articles stock price movement. analyzes derivative or ratio events drive predictions in manner. considers derivatives ratios meta-data within small window past relative larger items past. may use sentiment engine apply predict volatility and/or trend direction security. look content, context, weigh stories according predetermined taxonomy factoring recency, criticality, repeatedness, trustworthiness, etc. behavior. Also, be used forecast given movement an impending story release significance.
lens.org 参考文章(5)
Sanjiv R. Das, News analytics: Framework, techniques, and metrics The Handbook of News Analytics in Finance. pp. 41- 71 ,(2012) , 10.1002/9781118467411.CH2
Raymond Bell, Thomas Veit, Noreen Culhane, Theresa Molloy, System and method for providing market insight regarding securities trading ,(2009)
Dag Dyrdal, Stoyan Mihov, Goetz von Groll, Christofer Solheim, Financial methodology to valuate and predict the news impact of major events on financial instruments ,(2011)
Emil Ismalon, Omri Braun, Yoram Bachrach, Gadi Shvadron, Predictions based on analysis of online electronic messages ,(2009)
Huyang Key, Real-time interactive share quoted price using broadcast channel ,(2004)