Social Sentiment

Sentiment is a score or ranking of how a group of investors or investment professionals “feel” about news and investments. The sentiment comes from multiple sources: Twitter, Blogs, LinkedIn, Facebook, etc. Some sentiment is from market professionals or their Artificial Intelligence equivalents that monitor news stories, public filings, speeches, or other public sources.

The sentiment is quantified on a range from pessimistic to optimistic about the company or the specific news.

Sentiment Data is often referred to as Emerging Data, Alternative Data or AltData. CloudQuant Elite has Sentiment data for: StockTwits,  Alexandria Technologies, and Bloomberg

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Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 26, 2017

Never Mind Bitcoin. China Loves AI Stocks ...ofit estimates. And yet it’s one of the hottest stocks in China, gaining 117 percent this year as of Dec. 18, thanks to the latest investment craze sweeping the country’s $7.5 trillion equity…
Business charts

Industry News: Machine Learning and Artificial Intelligence News November 20, 2017

AI & ML news covering: Overvalued Markets, crypto-currencies, Quantamental funds, Social Sentiment Deceptions, Hiring of Buy-Side Quantitative Trading, ...
Daily ROIC Prior to improvements

Improving A Trading Strategy

TD Sequential is a technical indicator for stock trading developed by Thomas R. DeMark in the 1990s. It uses bar plot of stocks to generate trading signals. ... Several elements could be modified in this strategy. Whether to include the countdown stage, the choice of the number of bars in the setup stage and countdown stage, the parameters that help to decide when to exit and the size of the trade will affect strategy performance. In addition, we could use information other than price to decide whether the signal should be traded.
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Social Sentiment in Trading Algorithms

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Bloomberg recently wrote that “It’s no secret that hedge fund managers are always looking for new sources of data that will help them in their never-ending quest to beat the market.” (1) One of the most interesting new sources of data is social sentiment.
Quantitative Strategy, Trading, and Algo Development Industry News

Finding Novel Ways to Trade on Sentiment Data

“Everyone is looking into alternative data sets, sometimes without really understanding their value,” says Dr. Arun Verma, Ph.D.,
Quantitative Strategies and Capital for Trading

Funds Face ‘Alt’ Data Challenge

Although alternative data sets are helping funds with systematic investment strategies, those funds that employ discretionary strategies are finding it harder to separate the new trading signals from the noise.