微博用戶心情指數竟可預測股市行情
近日，科學家把股市道瓊斯指數與大眾心情曲線相互關聯(lián)，驚喜地發(fā)現相似率(股市曲線與大眾心情曲線)竟高達90%?！ ?/div>
The general mood among Twitter users can predict the rise and fall of the stock market almost a week in advance, a new study has found. A computer scientist in the US has discovered that the correlation between the Dow Jones and the collective public mood was almost 90 per cent accurate。
The link raises the startling possibility that stockbrokers may one day be able to make bets on the stock market based purely on how people are feeling on Twitter and blogs。
“What we found was an accuracy of 87.6 percent in predicting the daily up and down changes in the closing values of the Dow Jones Industrial Average,” IU Associate Professor of Informatics Johan Bollen said。
Earlier studies had found that blogs can be used to gauge the public mood. The theory was also being tested during a period of intense financial instability which mean that stock market fluctuations were far more dramatic than normal.‘This was probably one of the most difficult periods to predict,” Bollen told the magazine. “We had a presidential election, we had what looked to be financial Armageddon, we had the start of what has been the deepest and greatest recession since the 1930s。”
“If our algorithm was able to predict Dow Jones Industrial Average in that period, we figured that may establish some kind of lower baseline. It could do a lot better in other periods of time.”
The general mood among Twitter users can predict the rise and fall of the stock market almost a week in advance, a new study has found. A computer scientist in the US has discovered that the correlation between the Dow Jones and the collective public mood was almost 90 per cent accurate。
在股市里摸爬滾打了N年的股民們萬萬也沒有想到，預知股市究竟是“牛市”還是“熊市”提前一周查看微薄用戶的心情曲線圖便知。近日，科學家把道瓊斯指數與大眾心情曲線相互關聯(lián)，驚喜地發(fā)現他們之間的相似率(股市曲線與大眾心情曲線)竟高達90%。
The link raises the startling possibility that stockbrokers may one day be able to make bets on the stock market based purely on how people are feeling on Twitter and blogs。
這項調查讓股民們欣喜若狂，莫非是“買進”還是“買出”再也不是盲目的賭博了，在做決定之前上微薄查查看身邊的朋友近期心情到底如何就可以？
“What we found was an accuracy of 87.6 percent in predicting the daily up and down changes in the closing values of the Dow Jones Industrial Average,” IU Associate Professor of Informatics Johan Bollen said。
教授Johan Bollen 說，民眾的心情高低起伏有預測道瓊斯工業(yè)指數的能力，最確切的兩者相似率竟高達87.6%。
Earlier studies had found that blogs can be used to gauge the public mood. The theory was also being tested during a period of intense financial instability which mean that stock market fluctuations were far more dramatic than normal.‘This was probably one of the most difficult periods to predict,” Bollen told the magazine. “We had a presidential election, we had what looked to be financial Armageddon, we had the start of what has been the deepest and greatest recession since the 1930s。”
研究心情指數的工作小組還發(fā)現，普通的博客也可以“捕獲”大眾的心情。這項研究還將繼續(xù)應用測試于“股市起伏不定的狀況”，從而進一步證實理論的可能性。有專家稱，測試“股市震蕩狀況”也許是難度最高的，我們打算“參考歷史”研究總統(tǒng)競選時期、或者經濟1930年最低谷時期看看是否與我們的論證相符合。
“If our algorithm was able to predict Dow Jones Industrial Average in that period, we figured that may establish some kind of lower baseline. It could do a lot better in other periods of time.”
如果實驗能證明我們的“運算方法”能準確預測道瓊斯工業(yè)指數的話，我們想，我們就可以計算出“股市最低時期”的基線數值，經濟操作就可以更方便運行了。
