Wissee
| Privately held company | |
| ISIN | 🆔 |
| Industry | Financial Technology; Data Analytics |
| Founded 📆 | 2018 Seattle, Washington |
| Founders 👔 | Huina Mao and Qing Qing Han |
| Headquarters 🏙️ | , Seattle, Washington , The United States |
Area served 🗺️ | |
| Products 📟 | Social Trend Analysis
Influencer and Expert Insights Intelligent Market Search Automated Industry Report |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
Wissee, Inc. (formerly Wissee Technologies, Inc.) was founded in 2018 by Dr. Huina Mao and Dr. Qingqing Han in the state of Washington, United States of America. The company was then converted to a Delaware corporation in March 2020 with its main operating office in Seattle, Washington. Wissee closed its seed round investment of $1 million in February 2020 from a consumer-focused hedge fund and is in the process of developing its main product and rolling out the product in the market. [1]
Introduction
Wissee is the world's first expert-weighted financial analytics tool that creates reliable and actionable insights for investors and innovators. It is built on proprietary AI, machine learning, natural language processing (NLP), and image recognition algorithms. Wissee extracts actionable insights from millions of data points on social media, news, articles, blogs, websites, Google Trends, and much more. It unlocks valuable information hidden in the alternative data (unstructured data) and provides users with a newfound information edge and an opportunity to maximize investment value.
Products
Social Trend Analysis
- Create easy-to-read social media and news sentiment analysis[2]
- Catch real-time market signals from social media, news and opinion data[3]
- Detect and alert the early signals of high-impact events and changes
Proprietary Financial Sentiment Scores and Trends, including:[4]
- Sentiment scores of stocks, brands, and products.
- Correlation of sentiment scores with the stock price and company financials.
- List of competitors in the industry, sortable by sentiment score.
- Sentiment trends over time, last period and year-on-year (YOY) comparison.
Influencer and Expert Insights
- Uncover influencers and experts that are key market players
- Rank the importance of the experts’ opinions based on our influencer index
- Provide in-depth analytics on influencer's sentiments and key opinions
Influencers Confidence Index: Through Wissee's proprietary algorithms, Natural Language Processing and AI, we are able to index influencer and expert sentiments and discussions on the stocks, brands, and products to provide bullish and bearish insights.
Intelligent Market Search
- Generate comprehensive analytics from multiple data sources
- Conduct competitor analysis and compare data on similar companies
- Identify evolving market changes and trends
Automated Industry Report[5]
- Get granular and instant data-driven insights in one report
- Send reports to your email based on what you want and when you want it
- Tailor the report content to your interest
Event-driven Analytics: Wissee identifies the events that can trigger changes in stock performance and instantaneously send real-time predictions.[6]
Earnings Prediction: Wissee uses multi-dimensional online data to predict the earnings of certain companies, months before quarterly reports.
Competitive Intelligence: Wissee analyzes the competitors of the companies in your portfolio and sends you alerts and reports on their activities and online trends.
Vision
To become the world's leading knowledge platform and revolutionize the way we make decisions.
Mission
To unleash the power of machine and human intelligence, provide access to reliable insights, foster data-driven business decisions, and contribute to sustainable economic growth.[7]
Founders
Wissee has two co-founders, Dr. Huina Mao and Dr. Qingqing Han.
See also
(link Huina's and QQ's Wiki profiles once published)
Wissee on LinkedIn
Wissee on Twitter
Wissee on Facebook
Wissee on Medium
Wissee on Crunchbase
External Links
References
- ↑ "Wissee's Crunchbase". Retrieved 27 September 2020. Unknown parameter
|url-status=ignored (help) - ↑ Huina Mao, Johan Bollen (October 1, 2011). "Twitter mood as a stock market predictor". Computer. 10: 91–94 – via IEEE.
- ↑ Mao, H., Counts, S., & Bollen, J. (2015). Quantifying the Effects of Online Bullishness on International Financial Markets. Statistics Paper Series, European Central Bank.
- ↑ Huina Mao, Johan Bollen & Xiaojun Zeng (2010). "Twitter mood predicts the stock market". Journal of Computational Science. 2 (1): 1–8. arXiv:1010.3003. doi:10.1016/j.jocs.2010.12.007. Unknown parameter
|s2cid=ignored (help) - ↑ "Wissee Products". Retrieved 27 September 2020. Unknown parameter
|url-status=ignored (help) - ↑ H Mao, S Counts, J Bollen - Predicting financial markets: Comparing survey, news, twitter and search engine data arXiv preprint arXiv:1112.1051, 2011
- ↑ "About Wissee". Retrieved 27 September 2020. Unknown parameter
|url-status=ignored (help)
Wissee
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