
Quant the News uses Artificial Intelligence to convert news into numbers, in an attempt to quantify the impact of news. The company is launching its first product at TechCrunch called StockMood. Which can be found at www.StockMood.com StockMood.com uses analyze news stories, classify their sentiment, and then measure their potential impact on a stock's price direction. Each article is individually ingested, and its sentiment assessed by natural language processing models. While the models aren't perfect, users can correct the sentiment rating produced by the system. This crowd-sourcing technology allows the AI engine to constantly improve its accuracy. Mood measures how a stock’s price responds to news. When a stock is in a good Mood that means the stock price responds very favorably to good news, and has a tendency to shrug off the bad news. The opposite is true for bad Mood. The more this happens the stronger the mood in that direction gets. When both the mood and the sentiment values for a stock reach certain empirically determined thresholds, a Sentiment Alert is issued, indicating a statistical probability for movement over the next 5 days. Sentiment alerts can be positive or negative. These Alerts suggest that a stock may be at a peak of optimism or a peak of pessimism, respectively. Our statistical analyses have shown that, at the time of an Overoptimism or Overpessimism Alert, trading in the opposite direction of the news can provide significant edge.

Quant the News uses Artificial Intelligence to convert news into numbers, in an attempt to quantify the impact of news. The company is launching its first product at TechCrunch called StockMood. Which can be found at www.StockMood.com StockMood.com uses analyze news stories, classify their sentiment, and then measure their potential impact on a stock's price direction. Each article is individually ingested, and its sentiment assessed by natural language processing models. While the models aren't perfect, users can correct the sentiment rating produced by the system. This crowd-sourcing technology allows the AI engine to constantly improve its accuracy. Mood measures how a stock’s price responds to news. When a stock is in a good Mood that means the stock price responds very favorably to good news, and has a tendency to shrug off the bad news. The opposite is true for bad Mood. The more this happens the stronger the mood in that direction gets. When both the mood and the sentiment values for a stock reach certain empirically determined thresholds, a Sentiment Alert is issued, indicating a statistical probability for movement over the next 5 days. Sentiment alerts can be positive or negative. These Alerts suggest that a stock may be at a peak of optimism or a peak of pessimism, respectively. Our statistical analyses have shown that, at the time of an Overoptimism or Overpessimism Alert, trading in the opposite direction of the news can provide significant edge.
Product: StockMood — AI-driven news-to-numeric sentiment and 'mood' scoring for stocks
Founder: Ben Goertzel
Founded: 2008
Status / note: Listed as closed on TechCrunch Startup Battlefield profile
Funding (reported): 150,000 USD (last reported 2007)
Quantitative news sentiment / market signals for equity trading
2008
Financial data / FinTech
150000.00