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# Mood-Sensing Stock Predictions
StockMood.com

By Alex Covert | Published 2008-10-03 | Business
Source: Trend Hunter, https://www.trendhunter.com/trends/moody-stock-predictions-stockmoodcom
References: [techcrunch](http://www.techcrunch.com/2008/09/08/techcrunch50-session-2-memes-news/) & [stockmood](http://www.stockmood.com/)

StockMood.com is a [TechCrunch 50](http://www.techcrunch50.com/) beta company that uses advanced artificial intelligence to analyze news stories and measure their potential impact on a stock’s price direction. If conditions are right, a Sentiment Alert is issued to you, telling you that there is a high probability of stock price movement over the next five days.

StockMood reminds me of a movie I once saw called ‘pi’ after the mathematical symbol. It was about a man who tried to analyze everything in the news and relate it to the stock market. In the movie, he was crazy, but perhaps this artificial intelligence is on to something.

## Trend Insights (Trend Hunter)

- Score: 0.8/10
- Popularity: 4% | Activity: 13% | Freshness: 8%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Business](https://www.trendhunter.com/business) > [New Ventures](https://www.trendhunter.com/newventures)

## Key Themes

### What Makes This Trend Stand Out

- **Artificial Intelligence-based Stock Analysis:** Companies can leverage advanced AI to analyze news stories and predict potential changes in stock prices, creating opportunities for disruptive innovation in financial technology.
- **Mood-sensing Algorithms in Stock Trading:** Mood-sensing algorithms can be utilized in stock trading to determine the potential impact of news stories on stock prices, creating opportunities for disruptive innovation in the finance industry.
- **Sentiment Analysis for Stock Price Movement:** Companies can use sentiment analysis to identify trends and provide alerts for potential stock price movement in the near future, creating opportunities for disruptive innovation in the investment industry.

### Sectors Adopting This

- **Financial Technology:** Incorporating AI-based analysis in stock trading can revolutionize quantitative analysis and create disruptive innovation opportunities in the financial technology industry.
- **Finance:** Mood-sensing algorithms and sentiment analysis can be used to revolutionize the finance industry and provide more accurate predictions for stock prices, creating opportunities for disruptive innovation in finance.
- **Investment:** Sentiment analysis can be incorporated into investment strategies to provide more accurate predictions for stock price movement, creating opportunities for disruptive innovation in the investment industry.

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